bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Differential Effects of Insurance Mandates on Health Care Spending for Children’s Autism Spectrum Disorder
Authors: Candon Molly K. , Barry Colleen L. , Epstein Andrew J. , Marcus Steven C. , Kennedy-Hendricks Alene , Xie Ming , Mandell David S. 
Published: December 2017

Objectives:
There is substantial variation in treatment intensity among children with autism spectrum disorder (ASD). This study asks whether policies that target health care utilization for ASD affect children differentially based on this variation. Specifically, we examine the impact of state-level insurance mandates that require commercial insurers to cover certain treatments for ASD for any fully-insured plan.

Methods:
Using insurance claims between 2008 and 2012 from three national insurers, we used a difference-in-differences approach to compare children with ASD who were subject to mandates to children with ASD who were not. To allow for differential effects, we estimated quantile regressions that evaluate the impact of mandates across the spending distributions of three outcomes: (1) monthly spending on ASD-specific outpatient services; (2) monthly spending on ASD-specific inpatient services; and (3) quarterly spending on psychotropic medications.

Results:
The change in spending on ASD-specific outpatient services attributable to mandates varied based on the child’s level of spending. For those children with ASD who were subject to the mandate, monthly spending for a child in the 95th percentile of the ASD-specific outpatient spending distribution increased by $1460 (P<0.001). In contrast, the effect was only $2 per month for a child in the fifth percentile (P<0.001). Mandates did not significantly affect spending on ASD-specific inpatient services or psychotropic medications.

Conclusions:
State-level insurance mandates have larger effects for those children with higher levels of spending. To the extent that spending approximates treatment intensity and the underlying severity of ASD, these results suggest that mandates target children with greater service needs.
Broad Spectrum Proteomics Analysis of the Inferior Colliculus following Acute Hydrogen Sulfide Exposure
Authors: Kim Dong-Suk , Anantharam Poojya , Hoffmann Andrea , Meade Mitchell L. , Grobe Nadja , Gearhart Jeffery M. , Whitley Elizabeth M. , Mahama Belinda , Rumbeiha Wilson K. 
Published: December 2017

AbstractAcute exposure to high concentrations of H2S causes severe brain injury and long-term neurological disorders. The mechanisms of H2S-induced neurodegeneration are not known. To better understand the cellular and molecular mechanisms of H2S-induced neurodegeneration we used a broad-spectrum proteomic analysis approach to search for key molecules in H2S-induced neurotoxicity. Mice were subjected to acute whole body exposure of up to750 ppm of H2S. The H2S-treated group showed behavioral motor deficits and developed severe lesions in the inferior colliculus (IC), part of the brainstem. The IC was microdissected for proteomic analysis. Tandem mass tags (TMT) liquid chromatography mass spectrometry (LC-MS/MS)-based quantitative proteomics was applied for protein identification and quantitation. LC-MS/MS was able to identify 598, 562, and 546 altered proteomic changes for day 1 (2 h post H2S exposure), day 2, and day 4 of H2S exposure, respectively. Mass spectrometry data were analyzed by Perseus 1.5.5.3 statistical analysis, and gene ontology heat map clustering. Quantitative real-time PCR was used to confirm some of the H2S-dependent proteomics changes. Taken together, acute exposure to H2S induced behavioral motor deficits along with progressive neurodegeneration including disruption of several biological processes in the IC such as cellular morphology, energy metabolism, and calcium signaling. The obtained broad-spectrum proteomics data may provide important clues to elucidate mechanisms of H2S-induced neurotoxicity.HighlightsMice exposed to H2S recapitulated H2S-induced neurotoxicity manifested in humans.The IC in the mouse brain is the most sensitive to H2S-induced neurodegeneration.Proteomic expressions of key proteins were validated at transcription level.Several biological pathways were dysregulated by H2S exposure.
High-Order Organization of Guanine-Based Reflectors Underlies the Dual Functionality of the Fish Iris
Authors: Gur Dvir , Nicolas Jan-David , Brumfeld Vlad , Bar-Elli Omri , Oron Dan , Levkowitz Gil 
Published: December 2017

AbstractMany marine organisms have evolved a reflective iris to prevent unfocused light from reaching the retina. The fish iris has a dual function, both to camouflage the eye and serving as a light barrier. Yet, the mechanism that enables this dual functionality and the benefits of using a reflective iris have remained unclear. Using synchrotron micro-focused diffraction, cryo-SEM imaging and optical analyses on zebrafish at different stages of development, we show that the complex optical response of the iris is facilitated by the development a high-order organization of multilayered guanine-based crystal reflectors and pigments. We further demonstrate how the efficient light reflector is established during development to allow the optical functionality of the eye, already at early developmental stages. These results shed light on the evolutionary drive for developing a compact reflective iris, which is widely used by many animal species.Significance StatementThe fish iris is an exquisite example of nature’s remarkable engineering where specialized cells, dubbed iridophores, produce an efficient light reflector made of guanine-based crystals. This unique structure of the fish iris serves a dual function: In addition to its role as a light barrier, the iris has a second role of camouflaging the eye by creating a silvery reflectance, which merges with the fish skin. The underlying mechanism that enables the aforementioned dual functionality of the fish iris as well as the structural morphogenesis of the guanine reflector during embryonic development, remained unclear. We show that complex optical response of the iris is facilitated by the establishment of a high-order organization of multilayered guanine-based crystal reflectors and pigments.
A measure of vascular reactivity to overcome neurovascular uncoupling in functional imaging of brain tumors: initial results
Authors: Voss Henning U. , Peck Kyung K. , Brennan Nicole M. Petrovich , Holodny Andrei I. 
Published: December 2017

AbstractPurposePreoperative functional MRI (fMRI) is limited by a muted BOLD response caused by abnormal vasoreactivity and resultant neurovascular uncoupling adjacent to malignant brain tumors. We propose to overcome this limitation and more accurately identify eloquent areas adjacent to brain tumors by independently assessing vasoreactivity using breath-holding and incorporating these data into the BOLD analysis.MethodsLocal vasoreactivity using a breath-holding paradigm with the same timing as the functional motor and language tasks was determined in 16 patients (9 glioblastomas, 1 anaplastic astrocytoma, 5 low grade astrocytomas, and 1 metastasis). We derived a model based on coherence for analyzing BOLD fMRI that takes into account the altered hemodynamics adjacent to brain tumors.ResultsActivation maps computed using the coherence model were overall similar to standard activation maps. However, the coherence maps demonstrated clinically meaningful areas of activation that were not seen using the standard method in 12/16 cases. This included localization of language areas adjacent to brain tumors, where the coherence method results were confirmed by intra-operative direct cortical stimulation. Enhanced task response maps based on vasoreactivity mapping demonstrated more robust, anatomically-correct activation, in particular adjacent to tumors as compared to maps obtained without vasoreactivity information.ConclusionsThe present preliminary results demonstrate the principle that the neurovascular uncoupling known to affect the accuracy of BOLD fMRI adjacent to brain tumors may be, at least partially, overcome by incorporating an independent measurement of vasoreactivity into the BOLD analysis.
Muon Radiation Dose and Marine Megafaunal Extinction at the end-Pliocene Supernova
Authors: Melott Adrian L. , Marinho Franciole , Paulucci Laura 
Published: December 2017

ABSTRACTConsiderable data and analysis support the detection of a supernova at a distance of about 50 pc, ~2.6 million years ago. This is possibly related to the extinction event around that time and is a member of a series of explosions which formed the Local Bubble in the interstellar medium. We build on the assumptions made in previous work, and propagate the muon flux from supernova-initiated cosmic rays from the surface to the depths of the ocean. We find that the radiation dose from the muons will exceed the total present surface dose from all sources at depths up to a kilometer and will persist for at least the lifetime of marine megafauna. It is reasonable to hypothesize that this increase in radiation load may have contributed to a newly documented marine megafaunal extinction at that time.
Far-UVC light: A new tool to control the spread of airborne-mediated microbial diseases
Authors: Welch David , Buonanno Manuela , Grilj Veljko , Shuryak Igor , Crickmore Connor , Bigelow Alan W. , Randers-Pehrson Gerhard , Johnson Gary W. , Brenner David J. 
Published: December 2017

AbstractAirborne-mediated microbial diseases such as influenza and tuberculosis represent major public health challenges. A direct approach to prevent airborne transmission is inactivation of airborne pathogens, and the airborne antimicrobial potential of UVC ultraviolet light has long been established; however, its widespread use in public settings is limited because conventional UVC light sources are both carcinogenic and cataractogenic. By contrast, we have previously shown that far-UVC light (207–222 nm) efficiently kills bacteria without harm to exposed mammalian skin. This is because, due to its strong absorbance in biological materials, far-UVC light cannot penetrate even the outer (non living) layers of human skin or eye; however, because bacteria and viruses are of micrometer or smaller dimensions, far-UVC can penetrate and inactivate them. We show for the first time that far-UVC efficiently kills airborne aerosolized viruses, a very low dose of 2 mJ/cm2of 222-nm light inactivating >95% of aerosolized H1N1 influenza virus. Continuous very low dose-rate far-UVC light in indoor public locations is a promising, safe and inexpensive tool to reduce the spread of airborne-mediated microbial diseases.
Mendelian inheritance errors in whole genome sequenced trios are enriched in repeats and cluster within copy number losses
Authors: Kothiyal Prachi , Wong Wendy S. , Bodian Dale L. , Niederhuber John E. 
Published: December 2017

AbstractTrio-based whole genome sequencing (WGS) data can contribute significantly towards the development of quality control methods that can be applied to non-family WGS. Mendelian inheritance errors (MIEs) in parent-offspring trios are commonly attributed to erroneous sequencing calls, as the rate of true de novo mutations is extremely low compared to the incidence of MIEs. Here, we analyzed WGS data from 1,314 trios across diverse human populations with the goal of studying the characteristics of MIEs. We applied filters based on genotype call quality and observed that filtering has a greater impact on frequent MIEs. Our results indicate that MIEs are enriched in repeats and MIE density correlates with short interspersed nuclear elements (SINEs) density. We also observed clustered MIEs in regions overlapping large deletions. We created population-specific MIE profiles and discovered regions that represent different MIE distributions across populations. Finally, we have provided population-specific MIE tracks that can be loaded in UCSC Genome Browser. These profiles can be used for flagging calls in proximity of clustered MIEs before allele frequency and admixture calculations, annotating candidate de novo mutations, discovering population-specific putative deletions, and for distinguishing between regions that have errors due to sequence quality vs. chromosomal anomalies.
Tissue disorder strength measured by quantitative phase imaging as intrinsic cancer marker
Authors: Takabayashi Masanori , Majeed Hassaan , Kajdacsy-Balla Andre , Popescu Gabriel 
Published: December 2017

AbstractTissue refractive index provides important information about morphology at the nanoscale. Since the malignant transformation involves both intra- and inter-cellular changes in the refractive index map, the tissue disorder measurement can be used to extract important diagnosis information. Quantitative phase imaging (QPI) provides a practical means of extracting this information as it maps the optical path-length difference (OPD) across a tissue sample with sub-wavelength sensitivity. In this work, we employ QPI to compare the tissue disorder strength between benign and malignant breast tissue histology samples. Our results show that disease progression is marked by a significant increase in the disorder strength. Since our imaging system can be added as an upgrading module to an existing microscope, we anticipate that it can be integrated easily in the pathology work flow.
De novo profile generation based on sequence context specificity with the long short-term memory network
Authors: Yamada Kazunori D , Kinoshita Kengo 
Published: December 2017

ABSTRACTLong short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, such as sequence similarity searches, multiple alignments, and evolutionary analyses. Currently, many biological sequences are becoming available, and the rapidly increasing amount of sequence data emphasizes the importance of scalable generators of amino acid sequence profiles. We employed the LSTM network and developed a novel profile generator to construct profiles without any assumptions, except for input sequence context. Our method could generate better profiles than existing de novo profile generators, including CSBuild and RPS-BLAST, on the basis of profile-sequence similarity search performance with linear calculation costs against input sequence size. In addition, we analyzed the effects of the memory power of LSTM and found that LSTM had high potential power to detect long-range interactions between amino acids, as in the case of beta-strand formation, which has been a difficult problem in protein bioinformatics using sequence information. We demonstrated the importance of sequence context and the feasibility of LSTM on biological sequence analyses. Our results demonstrated the effectiveness of memories in LSTM and showed that our de novo profile generator, SPBuild, achieved higher performance than that of existing methods for profile prediction of beta-strands, where long-range interactions of amino acids are important and are known to be difficult for the existing window-based prediction methods. Our findings will be useful for the development of other prediction methods related to biological sequences by machine learning methods.
B1a B cells require autophagy for metabolic homeostasis and self-renewal
Authors: Clarke Alexander J , Riffelmacher Thomas , Braas Daniel , Cornall Richard J , Simon Anna Katharina 
Published: December 2017

AbstractSpecific metabolic programs are activated by immune cells to fulfil their functional roles, which include adaptations to their microenvironment. B1 B cells are tissue-resident, innate-like B cells. They have many distinct properties, such as the capacity to self-renew and the ability to rapidly respond to a limited repertoire of epitopes. The metabolic pathways that support these functions are unknown. We show that B1 B cells are bioenergetically more active than B2 B cells, with higher rates of glycolysis and oxidative phosphorylation, and depend on glycolysis. They acquire exogenous fatty acids, and store lipids in droplet form. Autophagy is differentially activated in B1a B cells, and deletion of the autophagy gene Atg7 leads to a selective loss of B1a B cells due to a failure of self-renewal. Autophagy-deficient B1a B cells downregulate critical metabolic genes and accumulate dysfunctional mitochondria. B1 B cells therefore, have evolved a distinct metabolism adapted to their residence and specific functional properties.
Examining molecular determinants underlying heterogeneity of synaptic release probability using optical quantal imaging
Authors: Akbergenova Yulia , Zhang Yao V. , Weiss-Sharabi Shirley , Cunningham Karen L. , Littleton J. Troy 
Published: December 2017

AbstractNeurons communicate through neurotransmitter release at specialized synaptic regions known as active zones (AZs). Using transgenic biosensors to image postsynaptic glutamate receptor activation following single vesicle fusion events at Drosophila neuromuscular junctions, we analyzed release probability (Pr) maps for a defined connection with ~300 AZs between synaptic partners. Although Pr was very heterogeneous, it represented a stable and unique feature of each AZ. Pr heterogeneity was not abolished in mutants lacking Synaptotagmin 1, suggesting the AZ itself is likely to harbor a key determinant(s). Indeed, AZ Pr was strongly correlated with presynaptic Ca2+ channel density and Ca2+ influx at single release sites. In addition, Pr variability was reflected in the postsynaptic compartment, as high Pr AZs displayed a distinct pattern of glutamate receptor clustering. Developmental analysis suggests that high Pr sites emerge from earlier formed AZs, with a temporal maturation in transmission strength occurring over several days.
Task Engagement Enhances Population Encoding of Stimulus Meaning in Primary Auditory Cortex
Authors: Bagur Sophie , Averseng Martin , Elgueda Diego , David Stephen , Fritz Jonathan , Yin Pingbo , Shamma Shihab , Boubenec Yves , Ostojic Srdjan 
Published: December 2017

AbstractThe main functions of primary sensory cortical areas are classically considered to be the extraction and representation of stimulus features. In contrast, higher cortical sensory association areas are thought to be responsible for combining these sensory representations with internal motivations and learnt associations. These regions generate appropriate neural responses that are maintained until a motor command is executed. Within this framework, responses of the primary sensory areas during task performance are expected to carry less information about the behavioral meaning of the stimulus than higher sensory, association, motor and frontal cortices. Here we demonstrate instead that the neuronal population responses in the early primary auditory cortex (A1) display many aspects of responses generally associated with higher-level areas. A1 activity was recorded in awake ferrets while they were either passively listening or actively discriminating two periodic click trains of different rates in a Go/No-Go paradigm. By applying population-level dimensionality reduction techniques, we found that task-engagement induced a shift in the nature of the encoding from a sensory-driven representation of the two stimuli to a behaviorally relevant representation of the two categories that specifically enhances the target stimulus. We demonstrate that this shift in encoding relies partly on a novel mechanism of change in spontaneous activity patterns upon engagement in the task. We show that this population-level representation of stimuli in A1 population activity bears strong similarities to responses in the frontal cortex, but appears earlier following stimulus presentation. Analysis of neural activity recorded in various Go/No-Go tasks, with different sounds and reinforcement paradigms, reveals that this striking population-level enhancement of target representation is a general property of task engagement. These findings indicate that primary sensory cortices play a highly flexible role in the processing of incoming stimuli and implement a crucial change in the structure of population activity in order to extract task-relevant information during behavior.
Effect of hydrophobic finishing on drag force of swimwear
Authors: Nazemi Siamak , Khajavi Ramin , Rabie Far Hamidreza , Yazdanshenas Mohammad Esmail , Raad Manouchehr 
Published: December 2017

Purpose
During 2008 Olympics, Michael Phelps had a record-breaking performance. One contributing factor to his success was the full-body swimsuit he was wearing. Cases like these were the reason for the initiation of study and research for improvement in the new generation of sport gears. The purpose of this paper is to show that drag force plays a significant role in swimmers’ speed through the water; thus, using swimsuit with minimized drag force becomes imperative for Olympians like Michael Phelps.

Design/methodology/approach
This paper shows a comparative evaluation of hydrodynamics of three PET fabrics with different finishings that have hydrophobic behavior over a range of Reynolds number 1.0218×103 and 1.365×103 in the air medium at 20°C ambient temperature, and Reynolds number ranging from 15.68856×103 to 20.958×103 in the water medium at 20°C ambient temperature under stable stretch conditions.

Findings
The results show that hydrophobic finishing reduces the drag force by 1.5 percent at the angles of attack of 0 and 90 degrees.

Originality/value
If all the factors are considered to be stable for the swimmer, the drag force reduces by 1.5 percent, thereby increasing the speed of swimmer by 1.22 percent, which means that the record of the swimmer improves by 0.819 seconds.
Impact of various factors on stock-induced food waste in Indian weddings
Authors: Sharma Neeta , Vrat Prem 
Published: December 2017

Purpose
Weddings in India have become more extravagant in recent years. The ostentation goes well with the food also. Hundreds of varieties and great stock of food served making it a wasteful affair which would lead to the unsustainable demand for the natural resources. The purpose of this paper is to link the stock-induced consumption phenomenon with food waste generation in Indian weddings.

Design/methodology/approach
This study begins with the identification of the factors which would be responsible to make the food consumption stock-induced. A system dynamics (SD) model is developed using SD software STELLA (version 10.0) to assess the amount of stock-induced food waste. The impact of the factors on this waste is analyzed and estimation is made about the financial implications of this waste. Different scenarios have been analyzed to arrive at a most desirable scenario in the Indian context. Finally, the paper provides the recommendations for managerial implications to prevent the potential disastrous consequences of this waste.

Findings
A rigorous simulation analysis was conducted for different food-serving scenarios. The outcome of SD analysis shows that an enormous amount of food is wasted in the form of stock-induced consumption and dustbin waste. Impact analysis of factors on waste generation reveals that food wastage in marriages is entirely a behavioral phenomenon and can be controlled by exercising self and enforced behavioral control measures. Waste cost estimation gives an insight about the severity of the topic for policy making.

Social implications
The study has a very high social relevance and facilitates decision makers to take required actions to mitigate the stock-induced food waste in marriages. The study conducted will encourage the researchers to use SD in analyzing complex systems for quantitative estimations.

Originality/value
To the best of the authors’ knowledge, this is the first study that analyzes the food waste in Indian weddings in relation with the huge stock served using SD. The study provides valuable insights in the direction to make the country food secure.