Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of insulin-loaded trimethyl chitosan nanoparticles on genes expression in the hippocampus of diabetic rats

Abstract Background Diabetes mellitus is a chronic metabolic disorder that undesirably affects both central and peripheral nervous systems through the apoptosis of neurons. Insulin and insulin-like growth factors (IGFs) inhibit apoptosis of oligodendrocytes. The objective of this study was to determine whether oral insulin in the form of nanoparticles may have similar effects to injectable insulin in increasing the gene expression of IGF1 and IGF2. Methods Insulin-loaded trimethyl chitosan nanoparticles were prepared using the polyelectrolyte complex method and characterized for size, polydispersity index, zeta potential, drug loading, and entrapment efficiency. An in vivo study was performed in different groups of male Wistar rats with diabetes mellitus type 1 treated with insulin-loaded trimethyl chitosan nanoparticles and subcutaneous injection of trade insulin (neutral protamine Hagedorn). The hippocampus of rats were studied for the expression of IGF1 and IGF2 genes by using real-time PCR, and the fold changes in gene expression were evaluated using the 2−ΔΔCt method. Results The expression of IGF1 and IGF2 genes in the groups treated with nano-insulin and injected insulin were significantly higher than that in the diabetic control group (p<0.001) and meaningfully lower than that in the healthy control group. However, there was no significant difference to the treated groups. Conclusion Our findings suggest that future research might provide a new formulation of drugs for treating type 1 diabetes, in the form of oral insulin.
Use of Synchronous Digital Health Technologies for the Care of Children With Special Health Care Needs and Their Families: Scoping Review

Background Use of synchronous digital health technologies for care delivery to children with special health care needs (having a chronic physical, behavioral, developmental, or emotional condition in combination with high resource use) and their families at home has shown promise for improving outcomes and increasing access to care for this medically fragile and resource-intensive population. However, a comprehensive description of the various models of synchronous home digital health interventions does not exist, nor has the impact of such interventions been summarized to date. Objective We aim to describe the various models of synchronous home digital health that have been used in pediatric populations with special health care needs, their outcomes, and implementation barriers. Methods A systematic scoping review of the literature was conducted, guided by the Arksey and O’Malley Scoping Review Framework. MEDLINE, CINAHL, and EMBASE databases were searched from inception to June 2018, and the reference lists of the included systematic reviews and high-impact journals were hand-searched. Results A total of 38 articles were included in this review. Interventional articles are described as feasibility studies, studies that aim to provide direct care to children with special health care needs, and studies that aim to support family members to deliver care to children with special health care needs. End-user involvement in the design and implementation of studies is evaluated using a human-centered design framework, and factors affecting the implementation of digital health programs are discussed in relation to technological, human, and systems factors. Conclusions The use of digital health to care for children with special health care needs presents an opportunity to leverage the capacity of technology to connect patients and their families to much-needed care from expert health care providers while avoiding the expenses and potential harms of the hospital-based care system. Strategies to scale and spread pilot studies, such as involving end users in the co-design techniques, are needed to optimize digital health programs for children with special health care needs.
The Impact of Working Overtime or Multiple Jobs in Emergency Medical Services

Abstract Background: EMS professionals frequently work more than a standard 40-hour work week. For some EMS professionals, working overtime or multiple jobs may be necessary to make ends meet. Our objective was to evaluate the association between job satisfaction, intention to leave EMS, and financial dependence on overtime or working multiple jobs. Methods: We conducted a cross-sectional analysis of nationally-certified EMS professionals who completed an online questionnaire after submitting their recertification application (22,626/101,363, response rate = 22%) between October 2017 – May 2018. Items included dependence on additional work, satisfaction with job, and intentions of leaving the profession. Multivariable logistic regression models were used to describe the association between dependence on additional work, and job satisfaction and intention to leave EMS within 1 year and 5 years, controlling for age, sex, minority status, agency type, employment status, and urbanicity. Results: A total of 18,285 respondents were included in the analysis. The majority of EMS professionals (75%) worked over 40 hours per week. Most respondents (71%) were dependent on overtime or multiple jobs to make ends meet. Those who were dependent on extra work had higher odds of being dissatisfied with their job (aOR 1.92, 95% CI:1.64–2.44, and higher odds of intentions to leave EMS within 1 year and 5 years respectively (aOR 1.32, 95%CI:1.14–1.54; aOR 1.16, 95%CI:1.07–1.25). Conclusion: Many EMS professionals depend on additional work to make a living. Financial dependence was associated with increased odds of workforce-reducing factors, including job satisfaction and intention of leaving. This can lead to poor individual outcomes such as stress and burnout, as well as to turnover within the workforce, thus reducing the number of individuals available to provide high quality emergency care.
An in vitro DNA phosphorothioate modification reaction

Phosphorothioation (PT) involves the replacement of a nonbridging phosphate oxygen on the DNA backbone with sulfur. In bacteria, the procedure is both sequence‐ and stereo‐specific. We reconstituted the PT reaction using purified DndCDE from Salmonella enterica and IscS from Escherichia coli. We determined that the in vitro process of PT was oxygen sensitive. Only one strand on a double‐stranded (ds) DNA substrate was modified in the reaction. The modification was dominant between G and A in the GAAC/GTTC conserved sequence. The modification between G and T required the presence of PT between G and A on the opposite strand. Cysteine, S‐adenosyl methionine (SAM) and the formation of an iron‐sulfur cluster in DndCDE (DndCDE‐FeS) were essential for the process. Results from SAM cleavage reactions support the supposition that PT is a radical SAM reaction. Adenosine triphosphate (ATP) promoted the reaction but was not essential. The data and conclusions presented suggest that the PT reaction in bacteria involves three steps. The first step is the binding of DndCDE‐FeS to DNA and searching for the modification sequence, possibly with the help of ATP. Cysteine locks DndCDE‐FeS to the modification site with an appropriate protein conformation. SAM triggers the radical SAM reaction to complete the oxygen‐sulfur swapping.
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images

The successful launch of the Landsat 8 satellite provides important data for the monitoring of urban heat island effects. Since the Landsat 8 TIRS data has two thermal infrared bands, it is suitable for many algorithms to retrieve the land surface temperature (LST). However, the selection of algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) method to extract the LST from the Landsat 8 image and compared the three algorithms in terms of input parameters, accuracy, and sensitivity. The results show that all three algorithms can achieve good results in retrieving the LST. The SWA is the least sensitive to the error of the input parameters. The MWA and the SC method are sensitive to the error of the input parameters, and compared with the error of the LSE, these two algorithms are more sensitive to the error of atmospheric water vapor content. In addition, the MWA is also very sensitive to the error of the effective mean atmospheric temperature.
Calprotectina fecale : un nuovo indicatore di malattia infiammatoria intestinale

Fecal calprotectin: a new marker of inflammatory bowel disease Calprotectin is a S-100 family calciumand zinc-binding protein. It derives predominantly from neutrophils and monocytes and it is detectable in body fluids and tissue samples. Fecal calprotectin is a marker of intestinal inflammation and it seems to be useful, in gastroenterological practice, for diagnosing and monitoring organic inflammatory bowel disorders (ulcerative colitis and Crohn’s disease) in adults and children. The aim of this review is to discuss biochemical, analytical and clinical findings of this promising marker of intestinal inflammation.
Signal Denoising Method Using AIC–SVD and Its Application to Micro-Vibration in Reaction Wheels

To suppress noise in signals, a denoising method called AIC–SVD is proposed on the basis of the singular value decomposition (SVD) and the Akaike information criterion (AIC). First, the Hankel matrix is chosen as the trajectory matrix of the signals, and its optimal number of rows and columns is selected according to the maximum energy of the singular values. On the basis of the improved AIC, the valid order of the optimal matrix is determined for the vibration signals mixed with Gaussian white noise and colored noise. Subsequently, the denoised signals are reconstructed by inverse operation of SVD and the averaging method. To verify the effectiveness of AIC–SVD, it is compared with wavelet threshold denoising (WTD) and empirical mode decomposition with Savitzky–Golay filter (EMD–SG). Furthermore, a comprehensive indicator of denoising (CID) is introduced to describe the denoising performance. The results show that the denoising effect of AIC–SVD is significantly better than those of WTD and EMD–SG. On applying AIC–SVD to the micro-vibration signals of reaction wheels, the weak harmonic parameters can be successfully extracted during pre-processing. The proposed method is self-adaptable and robust while avoiding the occurrence of over-denoising.
Overestimating the valuations and preferences of others.

People often make judgments about their own and others' valuations and preferences. Across 12 studies (N = 17,594), we find a robust bias in these judgments such that people overestimate the valuations and preferences of others. This overestimation arises because, when making predictions about others, people rely on their intuitive core representation of the experience (e.g., is the experience generally positive? ) in lieu of a more complex representation that might also include countervailing aspects (e.g., is any of the experience negative? ). We first demonstrate that the overestimation bias is pervasive for a wide range of positive (Studies 1-5) and negative experiences (Study 6). Furthermore, the bias is not merely an artifact of how preferences are measured (Study 7). Consistent with judgments based on core representations, the bias significantly reduces when the core representation is uniformly positive (Studies 8A-8B). Such judgments lead to a paradox in how people see others trade off between valuation and utility (Studies 9A-9B). Specifically, relative to themselves, people believe that an identically paying other will get more enjoyment from the same experience, but paradoxically, that an identically enjoying other will pay more for the same experience. Finally, consistent with a core representation explanation, explicitly prompting people to consider the entire distribution of others' preferences significantly reduced or eliminated the bias (Study 10). These findings suggest that social judgments of others' preferences are not only largely biased, but they also ignore how others make trade-offs between evaluative metrics. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Spreading Depolarizations Occur in Mild Traumatic Brain Injuries and Are Associated with Postinjury Behavior

Millions of people suffer mild traumatic brain injuries (mTBIs) every year, and there is growing evidence that repeated injuries can result in long-term pathology. The acute symptoms of these injuries may or may not include the loss of consciousness but do include disorientation, confusion, and/or the inability to concentrate. Most of these acute symptoms spontaneously resolve within a few hours or days. However, the underlying physiological and cellular mechanisms remain unclear. Abstract Millions of people suffer mild traumatic brain injuries (mTBIs) every year, and there is growing evidence that repeated injuries can result in long-term pathology. The acute symptoms of these injuries may or may not include the loss of consciousness but do include disorientation, confusion, and/or the inability to concentrate. Most of these acute symptoms spontaneously resolve within a few hours or days. However, the underlying physiological and cellular mechanisms remain unclear. Spreading depolarizations (SDs) are known to occur in rodents and humans following moderate and severe TBIs, and SDs have long been hypothesized to occur in more mild injuries. Using a closed skull impact model, we investigated the presence of SDs immediately following a mTBI. Animals remained motionless for multiple minutes following an impact and once recovered had fewer episodes of movement. We recorded the defining electrophysiological properties of SDs, including the large extracellular field potential shifts and suppression of high-frequency cortical activity. Impact-induced SDs were also associated with a propagating wave of reduced cerebral blood flow (CBF). In the wake of the SD, there was a prolonged period of reduced CBF that recovered in approximately 90 min. Similar to SDs in more severe injuries, the impact-induced SDs could be blocked with ketamine. Interestingly, impacts at a slower velocity did not produce the prolonged immobility and did not initiate SDs. Our data suggest that SDs play a significant role in mTBIs and SDs may contribute to the acute symptoms of mTBIs.
Design and CFD Analysis of the Fluid Dynamic Sampling System of the “MicroMED” Optical Particle Counter †

MicroMED is an optical particle counter that will be part of the ExoMars 2020 mission. Its goal is to provide the first ever in situ measurements of both size distribution and concentration of airborne Martian dust. The instrument samples Martian air, and it is based on an optical system that illuminates the sucked fluid by means of a collimated laser beam and detects embedded dust particles through their scattered light. By analyzing the scattered light profile, it is possible to obtain information about the dust grain size and speed. To do that, MicroMED’s fluid dynamic design should allow dust grains to cross the laser-illuminated sensing volume. The instrument’s Elegant Breadboard was previously developed and tested, and Computational Fluid Dynamic (CFD) analysis enabled determining its criticalities. The present work describes how the design criticalities were solved by means of a CFD simulation campaign. At the same time, it was possible to experimentally validate the results of the analysis. The updated design was then implemented to MicroMED’s Flight Model.
A Microfluidic Prototype System towards Microalgae Cell Separation, Treatment and Viability Characterization

There are a huge number, and abundant types, of microalgae in the ocean; and most of them have various values in many fields, such as food, medicine, energy, feed, etc. Therefore, how to identify and separation of microalgae cells quickly and effectively is a prerequisite for the microalgae research and utilization. Herein, we propose a microfluidic system that comprised microalgae cell separation, treatment and viability characterization. Specifically, the microfluidic separation function is based on the principle of deterministic lateral displacement (DLD), which can separate various microalgae species rapidly by their different sizes. Moreover, a concentration gradient generator is designed in this system to automatically produce gradient concentrations of chemical reagents to optimize the chemical treatment of samples. Finally, a single photon counter was used to evaluate the viability of treated microalgae based on laser-induced fluorescence from the intracellular chlorophyll of microalgae. To the best of our knowledge, this is the first laboratory prototype system combining DLD separation, concentration gradient generator and chlorophyll fluorescence detection technology for fast analysis and treatment of microalgae using marine samples. This study may inspire other novel applications of micro-analytical devices for utilization of microalgae resources, marine ecological environment protection and ship ballast water management.
Growing‐season temperature and precipitation are independent drivers of global variation in xylem hydraulic conductivity

Stem xylem‐specific hydraulic conductivity (KS) represents the potential for plant water transport normalized by xylem cross section, length, and driving force. Variation in KS has implications for plant transpiration and photosynthesis, growth and survival, and also the geographic distribution of species. Clarifying the global‐scale patterns of KS and its major drivers is needed to achieve a better understanding of how plants adapt to different environmental conditions, particularly under climate change scenarios. Here, we compiled a xylem hydraulics dataset with 1,186 species‐at‐site combinations (975 woody species representing 146 families, from 199 sites worldwide), and investigated how KS varied with climatic variables, plant functional types, and biomes. Growing‐season temperature and growing‐season precipitation drove global variation in KS independently. Both the mean and the variation in KS were highest in the warm and wet tropical regions, and lower in cold and dry regions, such as tundra and desert biomes. Our results suggest that future warming and redistribution of seasonal precipitation may have a significant impact on species functional diversity, and is likely to be particularly important in regions becoming warmer or drier, such as high latitudes. This highlights an important role for KS in predicting shifts in community composition in the face of climate change.
Mutation of doublesex in Hyphantria cunea results in sex-specific sterility.

BACKGROUND The gene doublesex (dsx) plays pivotal roles in sex determination and controls sexually dimorphic development in certain insects. Importantly, it also displays a potential candidate target for pest management due to its sex-specific splicing. Therefore, we used CRISPR/Cas9-mediated gene disruption to investigate the function of dsx in Hyphantria cunea, an invasive forest pest. RESULT In the present study, we identified the dsx gene from H. cunea which showed a sex-biased expression pattern that was different from other lepidopteran insects. Referring to sex-specific functional analyses in Bombyx mori, we performed a site-specific knockout of the Hcdsx gene by using a CRISPR/Cas9 system, which induced severe abnormalities in external genitalia and some incomplete sex reversal phenotypes, which in turn led to reduced sex-specific fecundity. An alternative splicing pattern of Hcdsx was altered by CRISPR/Cas9-induced mutation, and alterations in splicing affected expression of downstream genes PBP1 (encoding pheromone binding protein1), vg1 and vg2 (encoding vitellogenin), which contributed to the sex-specific sterility phenotypes in the Hcdsx mutants. CONCLUSION The Hcdsx gene plays important roles in sexual differentiation in H. cunea. Disruption of Hcdsx induced sex-specific sterility demonstrating a potential application in control of this pest. This article is protected by copyright. All rights reserved.
The Genetics of Male Pheromone Preference Difference Between Drosophila melanogaster and Drosophila simulans

Species of flies in the genus Drosophila differ dramatically in their preferences for mates, but little is known about the genetic or neurological underpinnings of this evolution. Recent advances have been made to our understanding of one case: pheromone preference evolution between the species D. melanogaster and D. simulans. Males of both species are very sensitive to the pheromone 7,11-HD that is present only on the cuticle of female D. melanogaster. In one species this cue activates courtship, and in the other it represses it. This change in valence was recently shown to result from the modification of central processing neurons, rather than changes in peripherally expressed receptors, but nothing is known about the genetic changes that are responsible. In the current study, we show that a 1.35 Mb locus on the X chromosome has a major effect on male 7,11-HD preference. Unfortunately, when this locus is divided, the effect is largely lost. We instead attempt to filter the 159 genes within this region using our newfound understanding of the neuronal underpinnings of this phenotype to identify and test candidate genes. We present the results of these tests, and discuss the difficulty of identifying the genetic architecture of behavioral traits and the potential of connecting these genetic changes to the neuronal modifications that elicit different behaviors.
Dual-Mechanism ERK1/2 Inhibitors Exploit a Distinct Binding Mode to Block Phosphorylation and Nuclear Accumulation of ERK1/2

The RAS-regulated RAF-MEK1/2-ERK1/2 signaling pathway is frequently deregulated in cancer due to activating mutations of growth factor receptors, RAS or BRAF. Both RAF and MEK1/2 inhibitors are clinically approved and various ERK1/2 inhibitors (ERKi) are currently undergoing clinical trials. To date, ERKi display two distinct mechanisms of action (MoA): catalytic ERKi solely inhibit ERK1/2 catalytic activity, whereas dual mechanism ERKi additionally prevents the activating phosphorylation of ERK1/2 at its T-E-Y motif by MEK1/2. These differences may impart significant differences in biological activity because T-E-Y phosphorylation is the signal for nuclear entry of ERK1/2, allowing them to access many key transcription factor targets. Here, we characterized the MoA of five ERKi and examined their functional consequences in terms of ERK1/2 signaling, gene expression, and antiproliferative efficacy. We demonstrate that catalytic ERKi promote a striking nuclear accumulation of p-ERK1/2 in KRAS-mutant cell lines. In contrast, dual-mechanism ERKi exploits a distinct binding mode to block ERK1/2 phosphorylation by MEK1/2, exhibit superior potency, and prevent the nuclear accumulation of ERK1/2. Consequently, dual-mechanism ERKi exhibit more durable pathway inhibition and enhanced suppression of ERK1/2-dependent gene expression compared with catalytic ERKi, resulting in increased efficacy across BRAF- and RAS-mutant cell lines.