bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Automated Sample Preparation for Mycotoxin Analysis in Foods
Authors: Zhang Kai 
Published: January 2020

Abstract

Background
In the present study, we developed a novel automated sample preparation workflow for the determination of mycotoxins in foods.

Objective
This workflow integrates off-line devices such as a centrifuge, shaker, liquid and solid dispensing units into a unified platform to perform gravimetric and volumetric dispensing, capping/decapping, extraction, shaking, filtration, and centrifugation. Two robotic arms provide sample transportation without human assistance.

Method
Critical method performance attributes were characterized using spiked corn, milk and peanut butter containing aflatoxins, deoxynivalenol, fumonisins, ochratoxin A, HT-2 and T-2 toxins and zearalenone and certified reference materials. Prepared samples were analyzed by liquid chromatography mass spectrometry (LC-MS).

Results
Recoveries of spiked samples range 100–120% with RSD&lt;20% and the majority of measured values of certified reference materials are consistent with certified values within ±20%. Within- and between-batch variabilities of QC samples range 5–9% and 7–12% respectively.

Conclusions
Our workflow introduces a straightforward and automated sample preparation procedure for LC-MS-based multimycotoxin analysis. Further, it demonstrates how individual sample preparation devices, that are conventionally used off-line, can be integrated together.

Highlights
This study shows automated sample preparation will replace manual operations and significantly increase the degree of automation and standardization for sample preparation.
Determination of Lutein, β-Carotene, and Lycopene in Infant Formula and Adult Nutritionals by Ultra-High Performance Liquid Chromatography: Collaborative Study, Final Action 2016.13 for β-Carotene and Lycopene Only
Authors: Hostetler Gregory L ,   Collaborators, Benét S , Buis R , Campos-Giménez E , Christiansen S , Daniel A , DeBorde J-L , de Haan E , Eckes J , Gill B , Griffin E , Joseph G , LeCours L , Mazzega R , McGrail I , McMahon A , Malaviole I , Perra D , Schattner A , Schierle J , Staffas A , Tsang T , Vermeulen M 
Published: January 2020

Abstract

Background
Lutein, β-carotene, and lycopene are among the most common carotenoids present in human milk and are frequently added to infant formula and adult nutritionals.

Objective
A collaborative study was conducted to assess the interlaboratory performance of AOAC Official MethodSM2016.13 for the determination of lutein, β-carotene, and lycopene in infant formula and adult nutritionals.

Methods
Thirteen laboratories agreed to participate in the study and 10 laboratories from seven different countries reported results. The study samples included blind duplicates of 6 matrices fortified with lutein, 7 matrices fortified with β-carotene, and 1 fortified with lycopene. NIST SRM 1869 was included in the sample set as a reference material.

Results
After the removal of outliers and invalid data, the repeatability (RSDr) data was ≤10.0% for all-trans-lutein, ≤12.0% for total lutein, ≤4.2% for all-trans-β-carotene, ≤6.0% for total β-carotene, and 1.6% for total lycopene. Reproducibility (RSDR) was ≤14.8% for all-trans-lutein, ≤19.9% for total lutein, ≤15.3% for all-trans-β-carotene, ≤13.7% for total β-carotene, and 7.4% for total lycopene.

Conclusions
The repeatability and reproducibility values met the criteria in the Standard Method Performance Requirements (SMPRs) for β-carotene and lycopene and it was recommended that the method be approved as a Final Action for these analytes. Since the method did not meet the SMPR for lutein, it was recommended that it remain a First Action method for this analyte.

Highlights
AOAC Official MethodSM2016.13 was validated through a collaborative study to be accurate and reproducible for the determination of β-carotene and lycopene in infant formula and adult nutritionals.
Reuse of Food Waste and Wastewater as a Source of Polyphenolic Compounds to Use as Food Additives
Authors: Barbera Marcella 
Published: January 2020

AbstractThe problem of waste and byproducts generated from agro-industrial activities worldwide is an increasing concern in terms of environmental sustainability. In this ambit, the quantity of food wastes—produced in all steps of the whole food chain—is enormous, and it may be forecasted that food waste could amount to more than 120 billion tonnes by 2020. The reuse of food waste and wastewater as source of polyphenolic compounds could be an interesting discussion in this ambit. In fact, polyphenols obtained in this way might be used for food and non-food purposes by means of new, improved, and safe extraction methods. In light of the opportunity represented by the treatment of agro-industrial waste, different systems concerning the winemaking and olive oil production industries have also been discussed as describing approaches applicable to other sectors. More research is needed before considering recovery of phenolic compounds from wastewater as an economically convenient choice for the food sector.
Northeastern Family Forest Owner Gender Differences in Land-Based Estate Planning and the Role of Self-Efficacy
Authors: Markowski-Lindsay Marla , Catanzaro Paul , Zimmerer Rebekah , Kittredge David , Markowitz Ezra , Chapman Daniel A 
Published: January 2020

AbstractUnderstanding family forest owner (FFO) estate planning decisionmaking is fundamental to ensuring the survival of landscapes that provide many public goods, but little is known about how land-based estate planning differs by gender. Analyses of a survey of FFOs in northeastern United States indicated that female FFOs rate themselves with lower levels of land-based estate planning self-efficacy—being less prepared, confident, and financially able to move forward with planning the future of their land than males. Of the FFOs who had positive levels of land-based estate planning self-efficacy, females were more likely to want to keep their land undeveloped than males. Our research suggests that increasing land-based estate planning self-efficacy of female FFOs may lead to higher rates of keeping land undeveloped for regions with FFOs similar to those of the northeast. We recommend ways in which foresters and programs could play an important role in increasing land-based estate planning self-efficacy.
Neighborhood Disparities in the Availability, Advertising, Promotion, and Youth Appeal of Little Cigars and Cigarillos, United States, 2015
Authors: Kong Amanda Y , Queen Tara L , Golden Shelley D , Ribisl Kurt M 
Published: January 2020

Abstract

Introduction
Between 2012 and 2016, sales of cigars increased by 29% in the United States. In small local studies, greater little cigar and cigarillo (LCC) availability and marketing has been documented in neighborhoods with a greater proportion of Hispanic or Latino and black residents, and near schools. This national study of cigarette retailers assesses whether LCC availability and marketing at the point of sale is associated with neighborhood racial, ethnic, income, and percent youth demographics.

Methods
In 2015, we collected LCC availability and marketing data through retailer audits of a nationally representative sample of 2128 cigarette retailers. Using 2011–2015 American Community Survey census tract estimates, we modeled associations of neighborhood demographics (in quartiles) with availability of LCC-flavored products, and presence of exterior advertisements, youth marketing, and promotions.

Results
Nearly 90% of retailers sold LCCs, 83.0% sold flavored LCCs, and 30.9% had youth marketing. Controlling for retailer type and other neighborhood characteristics, neighborhoods with the highest proportion of black residents had significantly higher odds of flavored LCC availability (adjusted odds ratio [AOR] = 2.24, 95% confidence interval [CI] = 1.52, 3.30); exterior advertisements (AOR = 2.84, 95% CI = 1.94, 4.16); price promotions (AOR = 1.62; 95% CI = 1.07–2.45), and youth appeal (AOR = 1.49, 95% CI 1.08–2.08) compared to the lowest. Disparities in flavored LCC availability, exterior advertising, and youth appeal were also present for lower income neighborhoods.

Conclusion
Neighborhoods with a greater proportion of black or lower income residents have greater flavored LCCs availability and LCC marketing. Without stronger LCC regulation, residents of these neighborhoods may be at a greater risk of LCC use.

Implications
LCCs are harmful combustible tobacco products that are less regulated than cigarettes (eg, lower taxation, cheaper outlay due to small package sizes, availability of flavors), which makes them an affordable and appealing product to youth. This study documents greater availability, advertising, and marketing of LCCs in neighborhoods with a higher proportion of black or lower-income residents, potentially putting these populations at a greater risk of using or switching to these products in the face of increasing cigarette regulations. These findings underscore the need for local, state, and federal LCC regulatory action.
Measuring Opioid Withdrawal in a Phase 3 Study of a New Analgesic, NKTR-181 (Oxycodegol), in Patients with Moderate to Severe Chronic Low Back Pain
Authors: Henningfield Jack E , Gudin Jeffrey , Rauck Richard , Gimbel Joseph , Tagliaferri Mary , Doberstein Stephen K , Di Fonzo Carlo , Lu Lin , Katz Nathaniel , Siddhanti Suresh , Schnoll Sidney 
Published: January 2020

AbstractObjectiveTo evaluate the SUMMIT-07 trial opioid withdrawal results of NKTR-181 (oxycodegol), a new molecular entity mu-opioid receptor agonist.DesignPhase 3, enriched-enrollment, double-blind, randomized-withdrawal study in patients with chronic low back pain (CLBP).SettingConducted in the United States at multiple sites.MethodsSUMMIT-07 was comprised of five periods: screening; NKTR-181 open-label titration (100 to 400 mg twice daily); 12-week randomized, double-blind study drug (NKTR-181 or placebo); one-week study drug taper; and two-week safety follow-up. Permitted rescue medication included hydrocodone 5 mg/acetaminophen 300 mg (two tablets daily) for two weeks after randomization, then acetaminophen 1.0 gm daily for the remainder of the trial. Signs and symptoms of drug withdrawal were evaluated using the Clinical Opiate Withdrawal Scale (COWS); Subjective Opiate Withdrawal Scale (SOWS); Misuse, Abuse, and Diversion Drug Event Reporting System (MADDERS); and withdrawal-related adverse events.ResultsOf 1,190 patients entering titration, one patient had moderate withdrawal (COWS score 13/48 maximum) three days after discontinuing NKTR-181. Of 610 patients randomized (N = 309, NKTR-181; N = 301, placebo), no COWS scores indicating withdrawal at a moderate level or greater (i.e., score ≥13) were observed at any time point. At day 8 after randomization, week 12, and the end of tapering, COWS scores indicating mild withdrawal (&lt;13) were observed in seven (2.4%), one (0.4%), and one (0.5%) placebo patients, respectively, and three (1.0%), one (0.4%), and five (2.3%) NKTR-181 patients, respectively. Mean SOWS scores in both arms were ≤2.8 of 64 possible points at all time points. During the randomized period, of 35 events identified by MADDERS, adjudicators identified 20 possible “withdrawal” events (9 [2.9%] NKTR-181 and 11 [3.7%] placebo).ConclusionsNKTR-181 exhibited a low rate and severity of opioid withdrawal in SUMMIT-07 patients with CLBP.
Cerebellar Purkinje cell activity modulates aggressive behavior
Authors: Jackman Skyler L. , Chen Christopher H. , Offermann Heather L. , Drew Iain R. , Harrison Bailey M. , Bowman Anna M. , Flick Katelyn M. , Flaquer Isabella , Regehr Wade G. 
Published: January 2020

AbstractAlthough the cerebellum is traditionally associated with balance and motor function, it also plays wider roles in affective and cognitive behaviors. Evidence suggests that the cerebellar vermis may regulate aggressive behavior, though the cerebellar circuits and patterns of activity that influence aggression remain unclear. We used optogenetic methods to bidirectionally modulate the activity of spatially-delineated cerebellar Purkinje cells to evaluate the impact on aggression in mice. Increasing Purkinje cell activity in the vermis significantly reduced the frequency of attacks in a resident-intruder assay. Reduced aggression was not a consequence of impaired motor function, because optogenetic stimulation did not alter motor performance. In complementary experiments, optogenetic inhibition of Purkinje cells in the vermis increased the frequency of attacks. These results establish Purkinje cell activity in the cerebellar vermis regulates aggression, and further support the importance of the cerebellum in driving affective behaviors that could contribute to neurological disorders.
Individual variability in functional organization of the human and monkey auditory cortex
Authors: Ren Jianxun , Liu Hesheng , Xu Ting , Wang Danhong , Li Meiling , Lin Yuanxiang , Ramirez Julian S.B. , Lu Jie , Li Luming , Ahveninen Jyrki 
Published: January 2020

AbstractAccumulating evidence shows that auditory cortex (AC) of humans, and other primates, is involved in more complex cognitive processes than feature segregation only, which are shaped by experience-dependent plasticity and thus likely show substantial individual variability. However, thus far, individual variability of ACs has been considered a methodological impediment rather than a phenomenon of theoretical importance. Here, we examined the variability of ACs using intrinsic functional connectivity patterns in humans and macaques. Our results demonstrate that in humans, functional variability is 1) greater near the non-primary than primary ACs, 2) greater in ACs than comparable visual areas, and 3) greater in the left than right ACs. Remarkably similar modality differences and lateralization of variability were observed in macaques. These connectivity-based findings are consistent with a confirmatory task-based fMRI analysis. The quantitative proof of the exceptional variability of ACs has implications for understanding the evolution of advanced auditory functions in humans.
EngineeringE. colifor magnetic control and the spatial localization of functions
Authors: Aubry Mary , Wang Wei-An , Guyodo Yohan , Delacou Eugénia , Guignier Jean Michel , Espeli Olivier , Lebreton Alice , Guyot François , Gueroui Zoher 
Published: January 2020

AbstractThe fast-developing field of synthetic biology enables broad applications of programmed microorganisms including the development of whole-cell biosensors, delivery vehicles for therapeutics, or diagnostic agents. However, the lack of spatial control required for localizing microbial functions could limit their use and induce their dilution leading to ineffective action or dissemination. To overcome this limitation, the integration of magnetic properties into living systems enables a contact-less and orthogonal method for spatiotemporal control. Here, we generated a magnetic-sensingEscherichia coliby driving the formation of iron-rich bodies into bacteria. We found that these bacteria could be spatially controlled by magnetic forces and sustained cell growth and division, by transmitting asymmetrically their magnetic properties to one daughter cell. We combined the spatial control of bacteria with genetically encoded-adhesion properties to achieve the magnetic capture of specific target bacteria as well as the spatial modulation of human cell invasions.
Unraveling the aggregation dynamics of amyloidogenesis: A data-driven mathematical modeling approach
Authors: Tikader Baishakhi , Maji Samir K. , Kar Sandip 
Published: January 2020

AbstractProteins often get misfolded into highly ordered amyloid aggregates that are found to be associated with various neurodegenerative diseases. However, the dynamical events that lead to such self organization of different types of proteins are still poorly understood due to the experimentally untractable complex molecular mechanism, which governs the process of amyloidogenesis. Herein, we propose a generic and data-driven mathematical modeling approach that enables us to decipher a most probable molecular mechanism responsible for amyloidogensis in a context dependent manner. The preferred model efficiently elucidates various aspects of amyloid forming kinetics as a function of initial protein concentration, and qualitatively predicts the dynamics of amyloidogenesis for point mutated proteins. Importantly, the model analysis reveals that intermediate aggregates formed just after the primary necleation steps plays a vital role in dictating the nature of amyloid forming kinetics. Moreover, our model makes experimentally feasible insightful predictions to formulate better therapeutic measures in future to counter unwanted amyloidogenesis by just fine-tuning the molecular interactions related to amyloidogenesis.Author SummaryIn cells, proteins mostly function by being in a native folded conformation. However, under certain circumstances, some of these proteins undergo high degree of aggregation and eventually misfold to form highly stable amyloid aggregates that are often involved in different neurodegenerative disease progression and pathogenesis. To develop appropriate therapeutic strategies to resist such oligomerazation of protein, it is imperative to unravel the molecular interactions that essentially organize the dynamical events of amyloidogenesis. We have proposed a generic computational modeling framework to elucidate the important molecular events that govern the dynamics of amyloid formation. Our model reconciles diverse set of experimental observations including different mutant phenotyes from a dynamical perspective, and predicts possible ways to control the kinetics of amyloid formation experimentally. In future, these insights will be helpful to design drugs to treat patients with neurodegenerative disorders. Importantly, our model, in general, will be quite useful to figure out the important molecular events that are orchestrating the amyloidogenesis of different amyloid forming proteins.
Platelet, erythrocyte, endothelial, and monocyte microparticles in coagulation activation and propagation
Authors: Lipets E.N. , Antonova O.A. , Shustova O.N. , Losenkova K.V. , Mazurov A.V. , Ataullakhanov F.I. 
Published: January 2020

Background and objectiveFor many pathological states, microparticles are supposed to be one of the causes of hypercoagulation. Although there are some indirect data about microparticles participation in coagulation activation and propagation, the integral hemostasis test Thrombodynamics allows to measure micropaticles participation in these two coagulation phases directly by influence on the appearance of coagulation centers in plasma volume and on the rate of clot grown from surface with immobilized tissue factor.MethodsMicroparticles were obtained from platelets and erythrocytes by stimulation with SFLLRN and A23187, respectively, from monocytes, endothelial HUVEC culture and monocytic THP cell culture by stimulation with lipopolysaccharides. Microparticles were counted by flow cytometry and titrated in microparticle-depleted normal plasma in the Thrombodynamics test.ResultsMonocyte microparticles induced the appearance of clotting centres through the TF pathway at concentrations approximately 100-fold lower than platelet and erythrocyte microparticles, which activated plasma by the contact pathway. For endothelial microparticles, both activation pathways were essential, and their activity was intermediate. Monocyte microparticles induced plasma clotting by the appearance of hundreds of clots with an extremely slow growth rate, while erythrocyte microparticles induced the appearance of a few clots with a growth rate similar to that from surface covered with high-density tissue factor. Patterns of clotting induced by platelet and endothelial microparticles were intermediate. Platelet, erythrocyte and endothelial microparticles impacts on the rate of clot growth from the surface with tissue factor did not differ significantly within the 0-200·103/ul range of microparticles concentrations. However, at concentrations greater than 500·103/ul, erythrocyte microparticles increased the stationary clot growth rate to significantly higher levels than do platelet microparticles or artificial phospholipid vesicles consisting of phosphatidylcholine and phosphatidylserine.ConclusionMicroparticles of different origins demonstrated qualitatively different characteristics related to coagulation activation and propagation.
Constructing early diagnosis model of colorectal cancer based on expression profile
Authors: Wang shaoqiang , Wang Yifan , Wang Shudong 
Published: January 2020

AbstractpurposeIn order to break through the restrictive factors such as the fecal occult blood test (FOBT) in the routine detection of bowel cancer, which is susceptible to diet and drugs, and the high cost and inconvenience of microscopy, Seeking a possible FOBT alternative.MethodsAn error back propagation neural network (BPNN) algorithm was used to construct a CRC diagnosis model based on expression profiles.ResultsThe accuracy of the model on the training and test sets is 0.943 and 0.935, respectively. AUC all reached above 0.95.ConclusionThe CRC molecular detection model based on expression profiles provides a possible alternative to FOBT. It provides a new approach and method for the clinical diagnosis of bowel cancer.
RFDTI: Using Rotation Forest with Feature Weighted for Drug-Target Interaction Prediction from Drug Molecular Structure and Protein Sequence
Authors: Wang Lei , You Zhu-Hong , Li Li-Ping , Yan Xin 
Published: January 2020

AbstractThe identification and prediction of Drug-Target Interactions (DTIs) is the basis for screening drug candidates, which plays a vital role in the development of innovative drugs. However, due to the time-consuming and high cost constraints of biological experimental methods, traditional drug target identification technologies are often difficult to develop on a large scale. Therefore,in silicomethods are urgently needed to predict drug-target interactions in a genome-wide manner. In this article, we design a newin silicoapproach, named RFDTI to predict the DTIs combine Feature weighted Rotation Forest (FwRF) classifier with protein amino acids information. This model has two outstanding advantages: a) using the fusion data of protein sequence and drug molecular fingerprint, which can fully carry information; b) using the classifier with feature selection ability, which can effectively remove noise information and improve prediction performance. More specifically, we first use Position-Specific Score Matrix (PSSM) to numerically convert protein sequences and utilize Pseudo Position-Specific Score Matrix (PsePSSM) to extract their features. Then a unified digital descriptor is formed by combining molecular fingerprints representing drug information. Finally, the FwRF is applied to implement onEnzyme,Ion Channel,GPCR, andNuclear Receptordata sets. The results of the five-fold cross-validation experiment show that the prediction accuracy of this approach reaches 91.68%, 88.11%, 84.72% and 78.33% on four benchmark data sets, respectively. To further validate the performance of the RFDTI, we compare it with other excellent methods and Support Vector Machine (SVM) model. In addition, 7 of the 10 highest predictive scores in predicting novel DTIs were validated by relevant databases. The experimental results of cross-validation indicated that RFDTI is feasible in predicting the relationship among drugs and target, and can provide help for the discovery of new candidate drugs.