bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Different Organic Nutrients on Some Quality Properties of Popcorn (Zea mays L. everta)
Authors: Cihangir Haktan , Oktem Abdullah 
Published: February 2019

Aims: Organic nutrients such as animal manures, plant-derive compost, biosolids and bioliquids contain varying amounts of plant nutrients and can improve the biological, chemical, and physical properties of soils. They are used primarily for promoting growth of a plant or improving the quality of a crop. Study was aimed to find out the effect of conventional and fifteen different organic nutrients (peat, compost, cattle manure, chicken manure, horse manure, sheep manure, pigeon manure, vermicompost, seaweed + cattle manure, compost + humic acid, cattle manure + humic acid, chicken manure + humic acid, horse manure + humic acid, sheep manure + humic acid and peat + humic acid) on some quality properties of popcorn.
Study Design: Trial was designed in complete randomized block design with three replications. Ant-Cin-98 popcorn cultivar was used in the study. Each parcel comprised 4 lines. The planting was made into a depth of 5-6 cm along the lines 5 meters long with a row spacing of 70 cm and intra row of 20 cm.
Place and Duration of Study: This study was conducted in Diyarbakır - Cermik conditions of Turkey between 2010 and 2011.
Methodology: The effect of conventional and fifteen different organic materials to some quality parameters of popcorn such as cob ratio, 1000-kernel weights, test weight, popping volume and number of unpopped kernel were evaluated in the study. Physical and chemical properties of the trial area were determined by taking soil sample from a depth of 0-30 cm on the trial area before planting.
Results: According to the investigated results, the highest and the lowest values were ranked between 19.98% (peat + humic acid) and 17.26% (vermicompost) for cob ratio, 138.65 g (seaweed + cattle manure) and 122.48 g (chicken manure) for 1000-kernel weight, 81.29 kg hl-1 (horse manure + humic acid) and 75.62 kg hl-1 (vermicompost) for test weight, 19.71 cm³ g-1 (peat) and 17.17 cm³ g-1 (sheep manure + humic acid), for popping volume 5.92% (peat) and 3.65% (horse manure + humic acid) for number of unpopped kernel.
Conclusion: Higher values were obtained from organic nutrient sources than conversional application in all tested quality parameters. The implementation of organic fertilizers together with humic acid in popcorn produced better results in comparison to alone implementation of organic fertilizers. Also it was determined that use of natural enemies of Trichogramma spp against corn borer can be possible without any chemicals.
A Study of Correlation of Anthropometric Data with Atherogenic Indices of Students of Rivers State University, Port Harcourt, Nigeria
Authors: Elekima Ibioku , Inokon Aniekan 
Published: February 2019

Aim: The aim of the study was to correlate anthropometric data with atherogenic indices of students in Rivers State University, Port Harcourt as a means of assessing their cardiovascular health.
Study Design: A pilot study was carried out in Rivers State University, Port Harcourt in Rivers State, Nigeria. The study was conducted within a period of 4 months (June – September, 2018). A total of 82 students were selected from the recruitment process after consenting to participate in the study. Atherogenic indices (after determination of lipid parameters values) and anthropometric measurements were done at the Department of Medical Laboratory Science, Rivers State University, Port Harcourt, Nigeria.
Methodology: Five millitres (5mls) of fasting blood samples were collected into lithium heparin bottles and spun at 3500 rpm for 5 minutes to obtain plasma. Total cholesterol (TC) and Triglyceride (TG) were assayed based on enzymatic methods. High density lipoprotein (HDL) was assayed using precipitation and enzymatic method while low density lipoprotein (LDL) was calculated using Friedewald equation. After determination of lipid parameters, atherogenic indices were computed as ratios of these lipid parameters. Anthropometric measurements were collected using stadiometer, non-stretchable tape and weighing scale.
Results: Significant increases were seen in both atherogenic indices and anthropometric data of obese (OBS) and overweight (OVW) students compared to ideal weight (NOM) students. Correlation of anthropometric data with atherogenic indices in obese (OBS) students indicated significant positive correlation between WC with NHDL and CRI-2 as well as between WHR with NHDL, AC, CRI-1 and CRI-2.
Conclusion: Obesity is a strong factor among students that induces atherogenic hyperlipoproteinaemia and thus, CVD risks. Also, WHR and WC correlates strongly with atherogenic indices such as NHDL, AC, CRI-1 and CRI-2 and therefore, were seen as better and sensitive anthropometric parameters for predicting cardiovascular risks compared to WHtR and BMI.
Characterizing seasonal dynamics of Amazonian wetlands for conservation and decision making
Authors: Reis Vanessa , Hermoso Virgilio , Hamilton Stephen K. , Bunn Stuart E. , Fluet‐Chouinard Etienne , Venables Bill , Linke Simon 
Published: February 2019

Abstract

In many wetlands the timing and duration of inundation determine ecological characteristics and the provision of ecosystem services; however, wetland conservation decisions often rely on static maps of wetland boundaries that do not capture their dynamic hydrological variability and connectivity.
The Amazon River basin contains some of the world's most extensive wetlands, many of which are floodplains where seasonal flood pulses result in a temporally varying inundation area and hydrological connectivity with river systems.
This study classified Amazon wetlands according to the timing and duration (months per year) of inundation detected by remote sensing, and also investigated the contribution of precipitation regimes in affecting wetland distribution and hydrological dynamics.
Permanently inundated wetlands account for the largest area and are mainly floodplains located in the lowlands of the catchment. Seasonally inundated wetlands varied greatly in the duration of inundation over the course of the year, ranging from 1 to 9 months. Distinct seasonal timing was detected among the large wetland complexes, reflecting rainfall regimes as well as time lags for drainage and drying. For example, inundation in the extensive Llanos de Moxos region of the southern Amazon was protracted and lasted well after the rainy season, compared with the Roraima region of the northern Amazon, where inundation was shorter and tracked the rainy season.
The integration of inundation dynamics into wetland classification captures regional differences in timing and duration of inundation in the major wetlands of the basin that should be considered for conservation planning and other ecological applications. This information can aid regional wetland management and planning, especially with regards to minimizing the effects of dam and waterway construction that can directly affect the natural wetland dynamics. The use of global remotely sensed inundation data makes this approach easily transferable to other large tropical wetlands.
Familial risk of autism alters subcortical and cerebellar brain anatomy in infants and predicts the emergence of repetitive behaviors in early childhood
Authors: Pote Inês , Wang Siying , Sethna Vaheshta , Blasi Anna , Daly Eileen , Kuklisova‐Murgasova Maria , Lloyd‐Fox Sarah , Mercure Evelyne , Busuulwa Paula , Stoencheva Vladimira , Charman Tony , Williams Steven C. R. , Johnson Mark H. , Murphy Declan G. M. , McAlonan Grainne M. ,   The BASIS Team
Published: February 2019

Autism spectrum disorder (ASD) is a common neurodevelopmental condition, and infant siblings of children with ASD are at a higher risk of developing autistic traits or an ASD diagnosis, when compared to those with typically developing siblings. Reports of differences in brain anatomy and function in high‐risk infants which predict later autistic behaviors are emerging, but although cerebellar and subcortical brain regions have been frequently implicated in ASD, no high‐risk study has examined these regions. Therefore, in this study, we compared regional MRI volumes across the whole brain in 4–6‐month‐old infants with (high‐risk, n = 24) and without (low‐risk, n = 26) a sibling with ASD. Within the high‐risk group, we also examined whether any regional differences observed were associated with autistic behaviors at 36 months. We found that high‐risk infants had significantly larger cerebellar and subcortical volumes at 4–6‐months of age, relative to low‐risk infants; and that larger volumes in high‐risk infants were linked to more repetitive behaviors at 36 months. Our preliminary observations require replication in longitudinal studies of larger samples. If correct, they suggest that the early subcortex and cerebellum volumes may be predictive biomarkers for childhood repetitive behaviors. Autism Res 2019, 12: 614–627. © 2019 The Authors. Autism Research published by International Society for Autism Research published byWiley Periodicals, Inc.Lay SummaryIndividuals with a family history of autism spectrum disorder (ASD) are at risk of ASD and related developmental difficulties. This study revealed that 4–6‐month‐old infants at high‐risk of ASD have larger cerebellum and subcortical volumes than low‐risk infants, and that larger volumes in high‐risk infants are associated with more repetitive behaviors in childhood.
Isolation of circulating tumor cells in non-small-cell-lung-cancer patients using a multi-flow microfluidic channel
Authors: Zhou Jian , Kulasinghe Arutha , Bogseth Amanda , O’Byrne Ken , Punyadeera Chamindie , Papautsky Ian 
Published: February 2019

AbstractCirculating tumor cells (CTCs) carry a wealth of information on primary and metastatic tumors critical for precise cancer detection, monitoring, and treatment. Numerous microfluidic platforms have been developed in the past few years to capture these rare cells in patient bloodstream for deciphering the critical information needed. However, the practical need for a high-quality method of CTC isolation remains to be met. Herein, we demonstrate a novel multi-flow microfluidic device that is able to sensitively provide high purity (>87%) of separation outcome without labeling. Our device is constructed and configured based on the phenomenal effect of size-dependent inertial migration. The recovery rate of >93% has been achieved using spiked cancer cells at clinically relevant concentrations (10 cells per 5 mL and above). We have also successfully detected CTCs from 6 out of 8 non-small-cell-lung-cancer (NSCLC) patients, while none for 5 healthy control subjects. With these results, we envision our approach is a promising alternative for reliable CTC capture, and thus for facilitating the progress of extracting information from CTCs to personalize treatment strategies for solid tumor patients.
Towards a versatile point-of-care system combining femtosecond laser generated microfluidic channels and direct laser written microneedle arrays
Authors: Trautmann Anika , Roth Gian-Luca , Nujiqi Benedikt , Walther Thomas , Hellmann Ralf 
Published: February 2019

AbstractMicroneedle-based microfluidic systems have a great potential to become well-accepted medical devices for simple, accurate, and painless drug delivery and lab-on-a-chip diagnostics. In this work, we report on a novel hybrid approach combining femtosecond direct laser written microneedles with femtosecond laser generated microfluidic channels providing an important step towards versatile medical point-of-care systems. Hollow microneedle arrays are fabricated by a laser system designed for two-photon polymerization applications. Compression tests of two different types of truncated cone-shaped microneedle arrays prepared from OrmoComp® give information about the microneedle mechanical strength, and the results are compared to skin insertion forces. Three-dimensional microchannels are directly created inside PMMA bulk material by an ultrashort pulse laser system with vertical channels having adjustable cross-sectional areas, which allow attaching of microneedles to the microfluidic system. A comprehensive parameter study varying pulse duration and repetition rate is performed on two-photon polymerization to identify an optimal laser power range for fabricating microneedles using the same pulse duration and repetition rate as for microchannels. This addresses the advantage of a single laser system process that overcomes complex fabrication methods. A proof of concept flow test with a rhodamine B dye solution in distilled water demonstrates that the combination of microneedles and microchannels qualifies for microfluidic injection and extraction applications.
Vegetarian diets and risk of hospitalisation or death with diabetes in British adults: results from the EPIC-Oxford study
Authors: Papier Keren , Appleby Paul N. , Fensom Georgina K. , Knuppel Anika , Perez-Cornago Aurora , Schmidt Julie A. , Tong Tammy Y. N. , Key Timothy J. 
Published: February 2019

Abstract
Background
The global prevalence of diabetes is high and rapidly increasing. Some previous studies have found that vegetarians might have a lower risk of diabetes than non-vegetarians.

Objective
We examined the association between vegetarianism and risk of hospitalisation or death with diabetes in a large, prospective cohort study of British adults.

Methods
The analysed cohort included participants from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford study who were diabetes free at recruitment (1993–2001), with available dietary intake data at baseline, and linked hospital admissions and death data for diabetes over follow-up (n = 45,314). Participants were categorised as regular meat eaters (≥50 g per day: n = 15,181); low meat eaters (<50 g of meat per day: n = 7615); fish eaters (ate no meat but consumed fish: n = 7092); and vegetarians (ate no meat or fish, including vegans: n = 15,426). We used multivariable Cox proportional hazards models to assess associations between diet group and risk of diabetes.

Results
Over a mean of 17.6 years of follow-up, 1224 incident cases of diabetes were recorded. Compared with regular meat eaters, the low meat eaters, fish eaters, and vegetarians were less likely to develop diabetes (hazard ratio (HR) = 0.63, 95% confidence interval (CI) 0.54–0.75; HR = 0.47, 95% CI 0.38–0.59; and HR = 0.63, 95% CI 0.54–0.74, respectively). These associations were substantially attenuated after adjusting for body mass index (BMI) (low meat eaters: HR = 0.78, 95% CI 0.66–0.92; fish eaters: HR = 0.64, 95% CI 0.51–0.80; and vegetarians: HR = 0.89, 95% CI 0.76–1.05).

Conclusions
Low meat and non-meat eaters had a lower risk of diabetes, in part because of a lower BMI.
Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures
Authors: Drakesmith Mark , Parker Greg D. , Smith Jacqueline , Linden Stefanie C. , Rees Elliott , Williams Nigel , Owen Michael J. , van den Bree Marianne , Hall Jeremy , Jones Derek K. , Linden David E. J. 
Published: February 2019

AbstractGenomic copy number variants (CNVs) are amongst the most highly penetrant genetic risk factors for neuropsychiatric disorders. The scarcity of carriers of individual CNVs and their phenotypical heterogeneity limits investigations of the associated neural mechanisms and endophenotypes. We applied a novel design based on CNV penetrance for schizophrenia (Sz) and developmental delay (DD) that allows us to identify structural sequelae that are most relevant to neuropsychiatric disorders. Our focus on brain structural abnormalities was based on the hypothesis that convergent mechanisms contributing to neurodevelopmental disorders would likely manifest in the macro- and microstructure of white matter and cortical and subcortical grey matter. Twenty one adult participants carrying neuropsychiatric risk CNVs (including those located at 22q11.2, 15q11.2, 1q21.1, 16p11.2 and 17q12) and 15 age- and gender-matched controls underwent T1-weighted structural, diffusion and relaxometry MRI. The macro- and microstructural properties of the cingulum bundles were associated with penetrance for both developmental delay and schizophrenia, in particular curvature along the anterior-posterior axis (Sz:pcorr = 0.026; DD:pcorr = 0.035) and intracellular volume fraction (Sz:pcorr = 0.019; DD:pcorr = 0.064). Further principal component analysis showed alterations in the interrelationships between the volumes of several midline white-matter structures (Sz:pcorr = 0.055; DD:pcorr = 0.027). In particular, the ratio of volumes in the splenium and body of the corpus callosum was significantly associated with both penetrance scores (Sz:p = 0.037; DD;p = 0.006). Our results are consistent with the notion that a significant alteration in developmental trajectories of midline white-matter structures constitutes a common neurodevelopmental aberration contributing to risk for schizophrenia and intellectual disability.
Glycine decarboxylase induces autophagy and is downregulated by miRNA-30d-5p in hepatocellular carcinoma
Authors: Zhuang Hao , Wu Fei , Wei Wen , Dang Yamei , Yang Baicai , Ma Xuda , Han Feng , Li Yongmei 
Published: February 2019

AbstractsGlycine decarboxylase (GLDC) belongs to the glycine cleavage system and is involved in one-carbon metabolism. We previously reported that GLDC downregulation enhances hepatocellular carcinoma (HCC) progression and intrahepatic metastasis through decreasing ROS-mediated ubiquitination of cofilin. The role of autophagy in cancer metastasis is still controversial. Redox-dependent autophagy largely relies on the magnitude and the rate of ROS generation. Thus, we aimed to explore the role of GLDC in cellular autophagy during HCC progression. We showed that a high GLDC expression level is associated with better overall survival and is an independent factor for the favorable prognosis of HCC patients. GLDC overexpression significantly induced cell autophagy, whereas GLDC downregulation reduced cell autophagy. Of note, GLDC is the post-transcriptional target of miR-30d-5p. GLDC overexpression could rescue miR-30d-5p-mediated cell metastasis and increase autophagy. Furthermore, upregulation of GLDC could significantly decrease p62 expression and impair intrahepatic metastasis in vivo. Taken together, our results suggest that GLDC may play an important role to increasing miR-30d-5p-reduced autophagy to suppress HCC progress.
Cellular TRIM33 restrains HIV-1 infection by targeting viral integrase for proteasomal degradation
Authors: Ali Hashim , Mano Miguel , Braga Luca , Naseem Asma , Marini Bruna , Vu Diem My , Collesi Chiara , Meroni Germana , Lusic Marina , Giacca Mauro 
Published: February 2019

AbstractProductive HIV-1 replication requires viral integrase (IN), which catalyzes integration of the viral genome into the host cell DNA. IN, however, is short lived and is rapidly degraded by the host ubiquitin-proteasome system. To identify the cellular factors responsible for HIV-1 IN degradation, we performed a targeted RNAi screen using a library of siRNAs against all components of the ubiquitin-conjugation machinery using high-content microscopy. Here we report that the E3 RING ligase TRIM33 is a major determinant of HIV-1 IN stability. CD4-positive cells with TRIM33 knock down show increased HIV-1 replication and proviral DNA formation, while those overexpressing the factor display opposite effects. Knock down of TRIM33 reverts the phenotype of an HIV-1 molecular clone carrying substitution of IN serine 57 to alanine, a mutation known to impair viral DNA integration. Thus, TRIM33 acts as a cellular factor restricting HIV-1 infection by preventing provirus formation.
Dynamic network coding of working-memory domains and working-memory processes
Authors: Soreq Eyal , Leech Robert , Hampshire Adam 
Published: February 2019

AbstractThe classic mapping of distinct aspects of working memory (WM) to mutually exclusive brain areas is at odds with the distributed processing mechanisms proposed by contemporary network science theory. Here, we use machine-learning to determine how aspects of WM are dynamically coded in the human brain. Using cross-validation across independent fMRI studies, we demonstrate that stimulus domains (spatial, number and fractal) and WM processes (encode, maintain, probe) are classifiable with high accuracy from the patterns of network activity and connectivity that they evoke. This is the case even when focusing on ‘multiple demands’ brain regions, which are active across all WM conditions. Contrary to early neuropsychological perspectives, these aspects of WM do not map exclusively to brain areas or processing streams; however, the mappings from that literature form salient features within the corresponding multivariate connectivity patterns. Furthermore, connectivity patterns provide the most precise basis for classification and become fine-tuned as maintenance load increases. These results accord with a network-coding mechanism, where the same brain regions support diverse WM demands by adopting different connectivity states.
Reconstructing meaning from bits of information
Authors: Kivisaari Sasa L. , van Vliet Marijn , Hultén Annika , Lindh-Knuutila Tiina , Faisal Ali , Salmelin Riitta 
Published: February 2019

AbstractModern theories of semantics posit that the meaning of words can be decomposed into a unique combination of semantic features (e.g., “dog” would include “barks”). Here, we demonstrate using functional MRI (fMRI) that the brain combines bits of information into meaningful object representations. Participants receive clues of individual objects in form of three isolated semantic features, given as verbal descriptions. We use machine-learning-based neural decoding to learn a mapping between individual semantic features and BOLD activation patterns. The recorded brain patterns are best decoded using a combination of not only the three semantic features that were in fact presented as clues, but a far richer set of semantic features typically linked to the target object. We conclude that our experimental protocol allowed us to demonstrate that fragmented information is combined into a complete semantic representation of an object and to identify brain regions associated with object meaning.
Adaptive laboratory evolution of a genome-reduced Escherichia coli
Authors: Choe Donghui , Lee Jun Hyoung , Yoo Minseob , Hwang Soonkyu , Sung Bong Hyun , Cho Suhyung , Palsson Bernhard , Kim Sun Chang , Cho Byung-Kwan 
Published: February 2019

AbstractSynthetic biology aims to design and construct bacterial genomes harboring the minimum number of genes required for self-replicable life. However, the genome-reduced bacteria often show impaired growth under laboratory conditions that cannot be understood based on the removed genes. The unexpected phenotypes highlight our limited understanding of bacterial genomes. Here, we deploy adaptive laboratory evolution (ALE) to re-optimize growth performance of a genome-reduced strain. The basis for suboptimal growth is the imbalanced metabolism that is rewired during ALE. The metabolic rewiring is globally orchestrated by mutations in rpoD altering promoter binding of RNA polymerase. Lastly, the evolved strain has no translational buffering capacity, enabling effective translation of abundant mRNAs. Multi-omic analysis of the evolved strain reveals transcriptome- and translatome-wide remodeling that orchestrate metabolism and growth. These results reveal that failure of prediction may not be associated with understanding individual genes, but rather from insufficient understanding of the strain’s systems biology.