bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inhibitory effects of oxytocin and oxytocin receptor antagonist atosiban on the activities of carbonic anhydrase and acetylcholinesterase enzymes in the liver and kidney tissues of rats
Authors: Kocyigit Umit M. , Taşkıran Ahmet Şevki , Taslimi Parham , Yokuş Ahmet , Temel Yusuf , Gulçin İlhami 
Published: August 2017

AbstractThe aim of this study was to investigate the effects of oxytocin (OT), atosiban, which is an OT receptor antagonist, and OT‐atosiban chemicals injected to rats on the activities of carbonic anhydrase (CA) and acetylcholinesterase (AChE) enzymes in liver and kidney tissues of rats. For this purpose, four different groups, each consisting of six rats (n = 6), were formed (control group, OT administered group, atosiban administered group, and both OT and atosiban administered group). The rats were necropsied 60 min after intraperitoneal injection of chemicals into the rats. Liver tissues of rats were extracted. CA and AChE enzyme activities were measured for each tissue by using hydratase, esterase, and acetylcholiniodide methods. Activity values for each enzyme obtained were statistically calculated.
A prognostic 11 genes expression model for ovarian cancer
Authors: Men Chuan‐Di , Liu Qiong‐Na , Ren Qing 
Published: August 2017

AbstractThe symptoms of ovarian cancer at early stages are usually absent which makes the diagnosis in its early stages exceedingly difficult. Previous research has proven that ovarian cancer is a genetic disease, which depends on the alteration of multi‐cancer related genes and anti‐cancer genes, multi‐stages and multi‐pathways, involving a variety of oncogene activation and anti‐oncogene inactivation. For a better understanding of the prognostic classification of ovarian cancer, gene expression profiles were used to analyze the prognostic factors of ovarian cancer, and the prognostic model was used to classify the ovarian cancer samples. The ovarian cancer samples data were downloaded from TCGA dataset. Rebust likelihood‐based survival model was built to find the key genes that could function as prognostic markers. The samples were classified by unsupervised hierarchical clustering. Furthermore, Kaplan‐Meier survival analysis was used to analyze the differences in the prognosis of the samples. The prognostic model was used to classify the samples, and then the best classification model was selected as the prognostic model of ovarian cancer. Finally, GEO datasets were used for external data validation. A total of 886 genes with influence on prognosis was obtained. Then genomic combinations of 11 genes were screened out by random sampling. Then the active number of influential factors was counted based on the expression level of featured genes. When the number of influencing factors is ≥7, the prognosis difference among these genes is the largest (P‐value = 0.000775); and this was chosen as the final Classification model. To summary, a prognostic 11genes expression model was preliminarily built to classify the ovarian cancer samples.
Key developments that impacted the field of mechanobiology and mechanotransduction
Authors: Wall Michelle , Butler David , El Haj Alicia , Bodle Josephine C. , Loboa Elizabeth G. , Banes Albert J. 
Published: August 2017

ABSTRACTAdvances in mechanobiology have evolved through insights from multiple disciplines including structural engineering, biomechanics, vascular biology, and orthopaedics. In this paper, we reviewed the impact of key reports related to the study of applied loads on tissues and cells and the resulting signal transduction pathways. We addressed how technology has helped advance the burgeoning field of mechanobiology (over 33,600 publications from 1970 to 2016). We analyzed the impact of critical ideas and then determined how these concepts influenced the mechanobiology field by looking at the citation frequency of these reports as well as tracking how the overall number of citations within the field changed over time. These data allowed us to understand how a key publication, idea, or technology guided or enabled the field. Initial observations of how forces acted on bone and soft tissues stimulated the development of computational solutions defining how forces affect tissue modeling and remodeling. Enabling technologies, such as cell and tissue stretching, compression, and shear stress devices, allowed more researchers to explore how deformation and fluid flow affect cells. Observation of the cell as a tensegrity structure and advanced methods to study genetic regulation in cells further advanced knowledge of specific mechanisms of mechanotransduction. The future of the field will involve developing gene and drug therapies to simulate or augment beneficial load regimens in patients and in mechanically conditioning organs for implantation. Here, we addressed a history of the field, but we limited our discussions to advances in musculoskeletal mechanobiology, primarily in bone, tendon, and ligament tissues. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:605–619, 2018.
Simple and sensitive determination of malondialdehyde in human urine and saliva using UHPLC–MS/MS after derivatization with 3,4‐diaminobenzophenone
Authors: Oh Jin‐Aa , Shin Ho‐Sang 
Published: August 2017

AbstractMalondialdehyde has been used as a biomarker for lipid peroxidation in biological samples. An ultra‐high performance liquid chromatography with tandem mass spectrometry method was developed to determine the levels of malondialdehyde in human urine and saliva samples. To select the optimum derivatization reagent from four diamino compounds, the reactivity and sensitivity of their derivatives were compared, and 3,4‐diaminobenzophenone was selected. The optimum reaction conditions for malondialdehyde with 3,4‐diaminobenzophenone were as follows: a reagent dosage of 50 mg/L, pH of 4, and reaction for 30 min at 50°C. The formed derivative product was analyzed using ultra‐high performance liquid chromatography with tandem mass spectrometry without additional extraction or concentration steps. In the optimal conditions, the method was used to determine malondialdehyde concentration in human urine and saliva samples. The limits of quantification for malondialdehyde in biological samples were over a concentration range of 0.1–0.3 μg/L. Additionally, the calibration curve showed a linearity greater than r2 = 0.997. The method was used to analyze 14 human urine and saliva samples from healthy volunteers. Malondialdehyde was detected in the concentration range of 1.7–33.6 μg/g creatinine in all human urine samples and 0.1–1.3 μg/L in all human saliva samples.
Effect of Dietary Components from Antarctic Krill on Atherosclerosis in apoE‐Deficient Mice
Authors: Parolini Cinzia , Bjorndal Bodil , Busnelli Marco , Manzini Stefano , Ganzetti Giulia S. , Dellera Federica , Ramsvik Marie , Bruheim Inge , Berge Rolf Kristian , Chiesa Giulia 
Published: August 2017

ScopeAntarctic krill is a great source of n‐3 fatty acids and high‐quality proteins. Aim of the study was to evaluate the effect of Antarctic krill components on plasma lipids and atherosclerosis development.Methods and resultsSixty apoEKO mice were divided into four groups and fed Western diet (CONTROL) or Western‐like diets, differing for protein or fat content. Specifically, casein or fat in CONTROL was partially replaced by krill proteins (PRO), krill oil (KRILL OIL), or both (KRILL OIL+PRO). In KRILL OIL+PRO and KRILL OIL, cholesterol levels were significantly lower than in CONTROL group. Atherosclerosis in aorta of PRO, KRILL OIL and KRILL OIL+PRO was lower than in CONTROL, whereas, at the aortic sinus, atherosclerosis reduction was only observed in KRILL OIL. Liver steatosis, commonly present in CONTROL and PRO animals, was sporadic in KRILL OIL+PRO and KRILL OIL mice. Krill oil containing diets affected the expression of genes involved in cholesterol metabolism, mainly HMG‐CoA reductase. No reduced systemic inflammation was found in all groups.ConclusionKrill oil containing diets were able to reduce cholesterol levels, inhibit plaque development and prevent liver damage. Krill proteins also reduced atherosclerosis development through mechanisms not involving lipid metabolism.
Metabolite‐cycled STEAM and semi‐LASER localization for MR spectroscopy of the human brain at 9.4T
Authors: Giapitzakis Ioannis‐Angelos , Shao Tingting , Avdievich Nikolai , Mekle Ralf , Kreis Roland , Henning Anke 
Published: August 2017

PurposeMetabolite cycling (MC) is an MRS technique for the simultaneous acquisition of water and metabolite spectra that avoids chemical exchange saturation transfer effects and for which water may serve as a reference signal or contain additional information in functional or diffusion studies. Here, MC was developed for human investigations at ultrahigh field.MethodsMC‐STEAM and MC‐semi‐LASER are introduced at 9.4T with an optimized inversion pulse and elaborate coil setup. Experimental and simulation results are given for the implementation of adiabatic inversion pulses for MC. The two techniques are compared, and the effect of frequency and phase correction based on the MC water spectra is evaluated. Finally, absolute quantification of metabolites is performed.ResultsThe proposed coil configuration results in a maximum
of 48 μΤ in a voxel within the occipital lobe. Frequency and phase correction of single acquisitions improve signal‐to‐noise ratio (SNR) and linewidth, leading to high‐resolution spectra. The improvement of SNR of N‐acetylaspartate (SNRNAA) for frequency aligned data, acquired with MC‐STEAM and MC‐semi‐LASER, are 37% and 30%, respectively (P < 0.05). Moreover, a doubling of the SNRNAA for MC‐semi‐LASER in comparison with MC‐STEAM is observed (P < 0.05). Concentration levels for 18 metabolites from the human occipital lobe are reported, as acquired with both MC‐STEAM and MC‐semi‐LASER.ConclusionThis work introduces a novel methodology for single‐voxel MRS on a 9.4T whole‐body scanner and highlights the advantages of semi‐LASER compared to STEAM in terms of excitation profile. In comparison with MC‐STEAM, MC‐semi‐LASER yields spectra with higher SNR. Magn Reson Med 79:1841–1850, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Validity of cancer diagnosis in the National Health Insurance database compared with the linked National Cancer Registry in Taiwan
Authors: Kao Wei‐Heng , Hong Ji‐Hong , See Lai‐Chu , Yu Huang‐Ping , Hsu Jun‐Te , Chou I‐Jun , Chou Wen‐Chi , Chiou Meng‐Jiun , Wang Chun‐Chieh , Kuo Chang‐Fu 
Published: August 2017

AbstractPurposeWe aimed to evaluate the validity of cancer diagnosis in the National Health Insurance (NHI) database, which has routinely collected the health information of almost the entire Taiwanese population since 1995, compared with the Taiwan National Cancer Registry (NCR).MethodsThere were 26,542,445 active participants registered in the NHI database between 2001 and 2012. National Cancer Registry and NHI database records were compared for cancer diagnosis; date of cancer diagnosis; and 1, 2, and 5 year survival. In addition, the 10 leading causes of cancer deaths in Taiwan were analyzed.ResultsThere were 908,986 cancer diagnoses in NCR and NHI database and 782,775 (86.1%) in both, with 53,192 (5.9%) in the NHI database only and 73,019 (8.0%) in the NCR only. The positive predictive value of the NHI database cancer diagnoses was 94% for all cancers; the positive predictive value of the 10 specific cancers ranged from 95% (lung cancer) to 82% (cervical cancer). The date of diagnosis in the NHI database was generally delayed by a median of 15 days (interquartile range 8‐18) compared with the NCR. The 1, 2, and 5 year survival rates were 71.21%, 60.85%, and 47.44% using the NHI database and were 71.18%, 60.17%, and 46.09% using NCR data.ConclusionsRecording of cancer diagnoses and survival estimates based on these diagnosis codes in the NHI database are generally consistent with the NCR. Studies using NHI database data must pay careful attention to eligibility and record linkage; use of both sources is recommended.
Does depression decrease the moderating effect of self‐efficacy in the relationship between illness perception and fear of progression in breast cancer?
Authors: Shim Eun‐Jung , Lee Jong Won , Min Yul Ha 
Published: August 2017

AbstractObjectiveFear of progression (FOP) is a prevalent concern among breast cancer patients that affect their adjustment to disease. This study examined whether self‐efficacy moderates the effect of illness perception (IP) on FOP and whether the moderating effect of self‐efficacy depends on the level of depressive symptoms.MethodsA cross‐sectional survey including brief illness perception questionnaire (BIPQ), FOP short form, general self‐efficacy scale, and the center for epidemiologic studies depression scale were administered to 245 patients with breast cancer in Korea.ResultsSelf‐efficacy moderated the negative impact of the patients' perception of chronic timeline and a greater emotional impact of the illness on FOP. However, the moderating effect of self‐efficacy of the BIPQ timeline and emotions on FOP depended on level of depressive symptoms.ConclusionsThe findings underscore the importance of considering the IP as determinants of FOP, as well as of self‐efficacy and depression as the moderating factors in the relationship between IP and FOP, suggesting the need to enhance self‐efficacy and depressive symptoms in order to compensate the negative impact of IP on FOP in breast cancer patients.
Incident Stenotrophomonas maltophilia infection and lung function decline in cystic fibrosis
Authors: Barsky Emily E. , Williams Kathryn A. , Priebe Gregory P. , Sawicki Gregory S. 
Published: August 2017

AbstractObjectivesTo determine whether incident detection of Stenotrophomonas maltophilia (SM) in patients with cystic fibrosis (CF) is associated with accelerated lung function decline and increased hospitalizations and to determine whether this effect is more pronounced in individuals with subsequent chronic infection.MethodsWe performed a longitudinal, retrospective single‐center, pre‐post study of 88 patients with CF, ages 6–51 years, with first positive respiratory culture for SM between 2008 and 2014. Rate of decline in FEV1 and hospitalization rates prior to and following incident SM infection were analyzed using segmented regression analysis of interrupted time series.ResultsMean (SD) age was 17.4 (9.2) years and the mean (SD) FEV1 % predicted at acquisition was 90.0% (25.2). A total of 44% developed chronic SM infection. In regression analysis adjusted for clinical and demographic factors, there was worsening of the mean annual decline in FEV1 % predicted from −1.79 (95%CI: −2.43, −1.15) pre‐acquisition to −2.14 (95%CI: −2.61, −1.67) post‐acquisition (P = 0.005). A significant change was observed in those with either subsequent intermittent or chronic infection. The mean annual hospitalization rate increased significantly in the subgroup with chronic infection from 0.46 (95%CI: 0.33, 0.60) to 0.88 (95%CI: 0.68, 1.07) (P = 0.007).ConclusionsIn this single‐center cohort, acquisition of SM in CF was associated with an acceleration in lung function decline. Among those with chronic colonization, acquisition was also associated with increased hospitalization rates.
Age‐related changes in childhood wheezing characteristics: A whole population study
Authors: Jurca Maja , Pescatore Anina M. , Goutaki Myrofora , Spycher Ben D. , Beardsmore Caroline S. , Kuehni Claudia E. 
Published: August 2017

AbstractBackgroundWheezing illnesses are characterized by phenotypic variability, which changes with age, but few studies report on a wide age range of children. We studied how prevalence, severity, and triggers of wheeze vary throughout childhood.MethodsWe analyzed data from a large population‐based cohort of children from Leicestershire, UK, who were followed from infancy through late adolescence using postal questionnaires. We used generalized estimating equations to describe age‐related changes in prevalence of any wheeze: episodic viral and multiple trigger wheeze; wheeze triggered by exercise, aeroallergens, food/drinks, laughing/crying; and of severe wheeze (frequent attacks, shortness of breath, sleep disturbance, disturbance of daily activities) from age 1‐18 years. We analyzed this in the entire cohort (absolute prevalence) and separately among children with wheeze (relative prevalence).ResultsThis study included 7670 children. Current wheeze was most common in 1‐year‐olds (36%) and then decreased in prevalence to reach 17% in children aged 14‐17 years. Absolute prevalence of episodic viral wheeze (EVW) decreased with age (from 24% to 7%), while multiple trigger wheeze (MTW) remained relatively constant throughout childhood (8‐12%). Among children with wheeze, the proportion with EVW decreased, and the proportion with MTW increased with age. In older children, wheeze triggered by exercise or aeroallergens, and wheeze accompanied by shortness of breath became more frequent, while wheeze triggered by food or laughter, and sleep disturbance decreased in prevalence.ConclusionKnowledge of these age‐related changes in wheezing illness is informative for health care planning and the design of future research projects and questionnaires.
Crown Ether Base: Highly Active, Regioselective and Reusable Catalytic Systems for Double Bond Migration in Allylic Compounds
Authors: Krompiec Stanisław , Marcol Beata , Zych Dawid , Kurpanik Aneta , Danikiewicz Witold , Matussek Marek , Kuźnik Nikodem 
Published: August 2017

AbstractThe highly active, reusable and regioselective crown ethers bases catalytic systems, especially 15‐Crown‐5/NaOH, 18‐Crown‐6/KOH, dibenzo‐18‐Crown/6‐t‐BuOK, and 18‐Crown‐6/t‐BuOK, for double bond migration in various allyl and diallyl compounds have been presented. Allyl and/or diallyl: arenes and heteroarenes, ethers, acetal, sulfides, selenide, sulfoxides, imines, phosphine, and phosphine oxide were smoothly converted into their corresponding 1‐propenyl derivatives under very mild conditions. Some of the C,O‐ and O,S‐diallyl compounds were fully regioselectively isomerized to allyl‐(1‐propenyl) derivatives. An unprecedented and significant effect of increasing the reaction rate and shortening the quantitative reaction conversion time without decreasing the selectivity under ultrasound‐assisted conditions was observed. Various solvents, including low‐boiling point ones containing only C, H and/or O atoms, such as DMFL, DME, THF, Et2O, toluene, and 1,4‐dioxane, can be used instead of the most frequently used DMSO. Remarkably highly effective recycling of 18‐Crown‐6/t‐BuOK and dibenzo‐18‐Crown‐6‐t‐BuOK catalytic systems for isomerization of low‐boiling or high‐boiling point allyl compounds respectively and crown ethers from all examined catalytic systems was developed. The opportunity to effectively combine the double bond migration within situgeneration of nitrile oxide and finally 1,3‐DC‐cycloaddition into one pot variant synthesis of isoxazolines from Qallyl has also been announced.
Weak Anchoring Interface Inducing Acrylate Copolymer Designs for High‐Performance Polymer‐Stabilized Blue Phase Liquid Crystal Displays
Authors: Kizhakidathazhath Rijeesh , Higuchi Hiroki , Okumura Yasushi , Kikuchi Hirotsugu 
Published: August 2017

AbstractPolymer‐stabilized blue phase liquid crystal (PS‐BPLC) is emerging as a strong competitor for next‐generation liquid crystal displays and optoelectronic devices. However, the realization of technologies built on PS‐BPLC requires lowering of driving voltage without sacrificing other desirable properties of blue phase liquid crystals. Here, we present a new method for voltage reduction in PS‐BPLC based on the stabilization of BPLC with weak anchoring interface inducing acrylate monomers. This method provides significant voltage reduction while maintaining the electro‐optical performance of BPLCs at the same time. We believe that this approach has a great potential in developing high‐performance photonic devices and displays based on liquid crystals.
Highly Efficient Synthesis of Spirooxindole, Spiroacenaphthylene and Bisbenzo[b]pyran Derivatives and Evaluation of Their Inhibitory Activity against Sirtuin 2
Authors: Hasaninejad Alireza , Mandegani Fatemeh , Beyrati Maryam , Maryamabadi Ammar , Mohebbi Gholamhossein 
Published: August 2017

AbstractAn operationally simple and high yielding procedure for the synthesis of spirooxindole and spiroacenaphthylene derivatives is described by the condensation reaction between isatin/acenaphthenequinone derivatives, malono derivatives, and C−H activated carbonyl compounds in the presence of a catalytic amount of 1,4‐Diazabicyclo[2.2.2]octane (DABCO) in ethanol or H2O/EtOH mixture under reflux conditions. This procedure has also been applied successfully for the synthesis of novel bis‐benzo[b]pyran derivatives.The ability of synthesized compounds in inhibition of Sirtuin 2 were investigated both in‐vitro and in‐silico. Some of these compounds showed moderate level activity against Sirtuin 2.
Bis{cis‐[MoO2]} Complexes of 4,6‐Diacetyl Resorcinol Bis(hydrazone)and Their Catalytic Application for the Three Components Dynamic Covalent Assembly via Hantzsch Reaction
Authors: Maurya Mannar R. , Rana Lata , Jangra Nancy , Avecilla Fernando 
Published: August 2017

AbstractFour binuclear dioxidomolybdenum(VI) complexes with Schiff base ligands, H4dar(bhz)2 (I), H4dar(inh)2 (II), H4dar(nah)2 (III) and H4dar(fah)2 (IV) (H2dar=4,6‐diacetyl resorcinol and Hbhz=benzoylhydrazide, Hinh=isonicotinoylhydrazide, Hnah=nicotinoylhydrazide, and Hfah=2‐furoylhydrazide) have been prepared by the reaction of ligand with [MoVIO2(acac)2] (Hacac=acetylacetone) in 1:2 ratio in methanol. Isolated complexes[(MoVIO2)2{dar(bhz)2}(H2O)2] (1), [(MoVIO2)2{dar(inh)2}(H2O)2] (2), [(MoVIO2)2{dar(nah)2}(H2O)2] (3) and [(MoVIO2)2{dar(fah)2}(H2O)2] (4) are characterized by elemental (CHN) analysis, spectral (FT‐IR, UV‐vis, 1H and 13C NMR) and thermogravimetric analysis. Single crystal X‐ray diffraction analysis of complexes 1, 2 and 4 confirms their binuclear structure and distorted octahedral geometry around each molybdenum where ligands behave as bis(dibasic tridentate) coordinating through phenolic oxygen, azomethine nitrogen and enolic oxygen atoms of each unit. These complexes have successfully been used as catalyst precursors in solvent as well as solvent free conditions for the one‐pot three components (ethylacetoacetate, benzaldehyde and ammonium acetate) dynamic covalent assembly, via Hantzsch reaction using hydrogen peroxide as an oxidant.
Bird detection and species classification with time‐lapse images around a wind farm: Dataset construction and evaluation
Authors: Yoshihashi R. , Kawakami R. , Iida M. , Naemura T. 
Published: August 2017

AbstractCollisions of birds, especially endangered species, with wind turbines is a major environmental concern. Automatic bird monitoring can be of aid in resolving the issue, particularly in environmental risk assessments and real‐time collision avoidance. For automatic recognition of birds in images, a clean, detailed, and realistic dataset to learn features and classifiers is crucial for any machine‐learning‐based method. Here, we constructed a bird image dataset that is derived from the actual environment of a wind farm and that is useful for examining realistic challenges in bird recognition in practice. It consists of high‐resolution images covering a wide monitoring area around a turbine. The birds captured in these images are at relatively low resolution and are hierarchically labeled by experts for fine‐grained species classification. We conducted evaluations of state‐of‐the‐art image recognition methods by using this dataset. The evaluations revealed that a deep‐learning‐based method and a simpler traditional learning method were almost equally successful at detection, while the former captures more generalized features. The most promising results were provided by the deep‐learning‐based method in classification. The best methods in our experiments recorded a 0.98 true positive rate for bird detection at a false positive rate of 0.05 and a 0.85 true positive rate for species classification at a false positive rate of 0.1.