Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenotypic Characterization of a Genetically Diverse Panel of Mice for Behavioral Despair and Anxiety

Background Animal models of human behavioral endophenotypes, such as the Tail Suspension Test (TST) and the Open Field assay (OF), have proven to be essential tools in revealing the genetics and mechanisms of psychiatric diseases. As in the human disorders they model, the measurements generated in these behavioral assays are significantly impacted by the genetic background of the animals tested. In order to better understand the strain-dependent phenotypic variability endemic to this type of work, and better inform future studies that rely on the data generated by these models, we phenotyped 33 inbred mouse strains for immobility in the TST, a mouse model of behavioral despair, and for activity in the OF, a model of general anxiety and locomotor activity. Results We identified significant strain-dependent differences in TST immobility, and in thigmotaxis and distance traveled in the OF. These results were replicable over multiple testing sessions and exhibited high heritability. We exploited the heritability of these behavioral traits by using in silico haplotype-based association mapping to identify candidate genes for regulating TST behavior. Two significant loci (-logp >7.0, gFWER adjusted p value <0.05) of approximately 300 kb each on MMU9 and MMU10 were identified. The MMU10 locus is syntenic to a major human depressive disorder QTL on human chromosome 12 and contains several genes that are expressed in brain regions associated with behavioral despair. Conclusions We report the results of phenotyping a large panel of inbred mouse strains for depression and anxiety-associated behaviors. These results show significant, heritable strain-specific differences in behavior, and should prove to be a valuable resource for the behavioral and genetics communities. Additionally, we used haplotype mapping to identify several loci that may contain genes that regulate behavioral despair.
Electrochemical Detection of Fluoroquinolone Antibiotics in Milk Using a Magneto Immunosensor

An amperometric magneto-immunosensor (AMIS) for the detection of residues of fluoroquinolone antibiotics in milk samples is described for the first time. The immunosensor presented combines magnetic beads biomodified with an antibody with a broad recognition profile of fluoroquinolones, a haptenized enzyme and a magnetic graphite–epoxy composite (m-GEC) electrode. After the immunochemical reaction with specific enzyme tracer, the antibody biomodified magnetic beads are easily captured by an electrode made of graphite-epoxy composite containing a magnet, which also acts as transducer for the electrochemical detection. In spite of the complexity of milk, the use of magnetic beads allows elimination of potential interferences caused by the matrix components; hence the AMIS could perform quantitative measurements, directly in these samples, without any additional sample cleanup or extraction step. The immunosensor is able to detect up to seven different fluoroquinolones far below the MRLs defined by the UE for milk; for example ciprofloxacin is detected directly in milk with an IC50 of 0.74 μg/L and a LOD of 0.009 μg/L. This strategy offers great promise for rapid, simple, cost-effective, and on-site analysis fluoroquinolones in complex samples.
Spike Count Reliability and the Poisson Hypothesis

The variability of cortical activity in response to repeated presentations of a stimulus has been an area of controversy in the ongoing debate regarding the evidence for fine temporal structure in nervous system activity. We present a new statistical technique for assessing the significance of observed variability in the neural spike counts with respect to a minimal Poisson hypothesis, which avoids the conventional but troubling assumption that the spiking process is identically distributed across trials. We apply the method to recordings of inferotemporal cortical neurons of primates presented with complex visual stimuli. On this data, the minimal Poisson hypothesis is rejected: the neuronal responses are too reliable to be fit by a typical firing-rate model, even allowing for sudden, time-varying, and trial-dependent rate changes after stimulus onset. The statistical evidence favors a tightly regulated stimulus response in these neurons, close to stimulus onset, although not further away.
Characterization of the Channel-Shortening Effect on P-Type Poly-Si TFTs

The phenomenon of channel shortening for p-type poly-Si thin-film transistors (TFTs) after stress is studied in this paper. Increased mobility, shifted threshold voltage V TH , and reduced leakage current for the stressed device are observed. In addition, the capacitance-voltage (C- V) behavior for the stressed device exhibits the anomalous increase for the measuring gate voltage in the OFF region. A model illustrating how the trap electron mechanism would occur is provided. Furthermore, the degradation behavior of the p-type poly-Si TFT under gate ac stress in the OFF region is also studied. Similar degradation behaviors are observed for the gate-ac-stressed TFT for both of their I-V and C-V characteristics. A distributed device circuit model is proposed, and based on this model, it is proposed that the main voltage drop during gate ac stress in the OFF region could occur at the source and drain junction, which may, in turn, degrade the device. A gated p-i-n device under the same process condition is then adopted and dc stressed to verify the proposed mechanism. The similarity between the capacitance curves for the ac-stressed TFT and the dc-stressed gated p-i-n device proves the validity of the proposed mechanism.
Pulse Spray Drying for Bovine Skimmed Milk Powder Production

Pulse Spray Drying (PSD) has potential as a sustainable means of skimmed milk powder (SMP) production. In this study, powders were obtained from PSD using different drying outlet temperatures (70, 80, 90 and 100 °C), and their characteristics were compared to those of traditional Spray Drying (SD). Native whey proteins were well preserved and Solubility Indexes were over 98% in all cases, despite powders obtained by PSD displaying lower solubility than the SD ones. No visual difference was observable in the powders (ΔE < 2); however, PSD powders were found to be yellower with a higher Browning Index. The drying technology did not have a significant effect on powder moisture content and bulk density. Particle size distribution and scanning electron microscopy images confirmed the presence of fine particles (<10 μm) in all samples that might have provided poor flowability and wetting behavior (overall Carr Index and Hausner ratio were 33.86 ± 3.25% and 1.52 ± 0.07, respectively). Higher amounts of agglomerated particles were found at low temperatures in the products processed with both technologies, but PSD samples showed a narrower particle size distribution and hollow particles with more wrinkles on the surface (probably due to the fast evaporation rate in PSD). Overall, PSD provided SMP with comparable physicochemical characteristics to SD and, once optimized at the industrial level, could offer significant advantages in terms of thermal efficiency without significant modification of the final product quality.
A Review of Rock Bolt Monitoring Using Smart Sensors

Rock bolts have been widely used as rock reinforcing members in underground coal mine roadways and tunnels. Failures of rock bolts occur as a result of overloading, corrosion, seismic burst and bad grouting, leading to catastrophic economic and personnel losses. Monitoring the health condition of the rock bolts plays an important role in ensuring the safe operation of underground mines. This work presents a brief introduction on the types of rock bolts followed by a comprehensive review of rock bolt monitoring using smart sensors. Smart sensors that are used to assess rock bolt integrity are reviewed to provide a firm perception of the application of smart sensors for enhanced performance and reliability of rock bolts. The most widely used smart sensors for rock bolt monitoring are the piezoelectric sensors and the fiber optic sensors. The methodologies and principles of these smart sensors are reviewed from the point of view of rock bolt integrity monitoring. The applications of smart sensors in monitoring the critical status of rock bolts, such as the axial force, corrosion occurrence, grout quality and resin delamination, are highlighted. In addition, several prototypes or commercially available smart rock bolt devices are also introduced.
An RNA conformational shift in recent H5N1 influenza A viruses

UNLABELLED Recent outbreaks of avian influenza are being caused by unusually virulent H5N1 strains. It is unknown what makes these recent H5N1 strains more aggressive than previously circulating strains. Here, we have compared more than 3000 RNA sequences of segment 8 of type A influenza viruses and found a unique single nucleotide substitution typically associated with recent H5N1 strains. By phylogenetic analysis, biochemical and biophysical experiments, we demonstrate that this substitution dramatically affects the equilibrium between a hairpin and a pseudoknot conformation near the 3' splice-site of the NS gene. This conformational shift may have consequences for splicing regulation of segment 8 mRNA. Our data suggest that besides changes at the protein level, changes in RNA secondary structure should be seriously considered when attempting to explain influenza virus evolution. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Availability of dental treatment is associated with satisfaction derived from Primary Health Care Services accessed by elderly

Objective This research evaluated whether having dental treatment available in the primary health care centers of the Brazilian Unified Health System was associated with greater satisfaction with the services accessed. The offering of dental care within the health service that elders usually access may improve their satisfaction with the services as a whole. Material and method In this cross-sectional study, 401 elders living in the districts of Lomba do Pinheiro and Partenon in Porto Alegre, Brazil were interviewed. Elders were selected using a cluster sampling design process from census tract drawings. Result Poisson Regression revealed that age and dental treatment supply were associated with outcome, and age, number of teeth, and the presence of dental treatment were associated with a higher prevalence of satisfaction with health services. Conclusion These results provide new contributions for health system qualification because this study demonstrated the importance of having dental treatment available to improve the satisfaction of older people with the Primary Health Care (PHC) services accessed.
Frontiers in Aging Neuroscience Aging Neuroscience Low Hdl Cholesterol Is Associated with Lower Gray Matter Volume in Cognitively Healthy Adults

Dyslipidemia is common in adults and contributes to high rates of cardiovascular disease and may be linked to subsequent neurodegenerative and neurovascular diseases. This study examined whether lower brain volumes and cognition associated with dyslipidemia could be observed in cognitively healthy adults, and whether apolipoprotein E (APOE) genotype or family history of Alzheimer's disease (FHAD) alters this effect. T1-weighted magnetic resonance imaging was used to examine regional brain gray matter (GM) and white matter (WM) in 183 individuals (58.4 ± 8.0 years) using voxel-based morphometry. A non-parametric multiple linear regression model was used to assess the effect of high-density lipoprotein (HDL) and non-HDL cholesterol, APOE, and FHAD on regional GM and WM volume. A post hoc analysis was used to assess whether any significant correlations found within the volumetric analysis had an effect on cognition. HDL was positively correlated with GM volume in the bilateral temporal poles, middle temporal gyri, temporo-occipital gyri, and left superior temporal gyrus and parahippocampal region. This effect was independent of APOE and FHAD. A significant association between HDL and the Brief Visuospatial Memory Test was found. Additionally, GM volume within the right middle temporal gyrus, the region most affected by HDL, was significantly associated with the Controlled Oral Word Association Test and the Center for Epidemiological Studies Depression Scale. These findings suggest that adults with decreased levels of HDL cholesterol may be experiencing cognitive changes and GM reductions in regions associated with neurodegenerative disease and therefore, may be at greater risk for future cognitive decline. systemic effects, which have been implicated as protective against dementia. Oxidative stress, including lipid peroxidation, has been shown to be the mediator of the pathologic effects of numerous risk factors of Alzheimer's disease (AD; Guglielmotto et al., 2010). Lastly, lifestyle interventions proven to increase HDL cholesterol levels (Ashen and Blumenthal, 2005) including " healthy " diet, regular exercise, weight control, and smoking cessation have also been shown to provide neuroprotective effects (Panza et al. Together these findings suggest that individuals with low HDL cholesterol levels may be more susceptible to neuropatho-logical changes and future development of neurodegenerative and neurovascular diseases. In addition to the positive effects of HDL and brain health, there appear to be associations between low HDL cholesterol and the neuropathologic mechanisms inherent to neurodegenerative disease. HDL contains apolipoprotein E (APOE) and facilitates reverse cholesterol transport, which implies the transport of other types of cholesterol from various tissues, …
Bounded harmonic functions for the Heckman--Opdam Laplacian

We describe the set of bounded harmonic functions for the Heckman--Opdam Laplacian, when the multiplicity function is larger than 1/2. We prove that this set is a vector space of dimension the cardinality of the Weyl group. We give some consequences in terms of the associated hypergeometric functions.
Human cytomegalovirus infection inhibits G1/S transition

Cell cycle progression during cytomegalovirus infection was investigated by fluorescence-activated cell sorter (FACS) analysis of the DNA content in growth-arrested as well as serum-stimulated human fibroblasts. Virus-infected cells maintained in either low (0.2%) or high (10%) serum failed to progress into S phase and failed to divide. DNA content analysis in the presence of G1/S (hydroxyurea and mimosine) and G2/M (nocodazole and colcemid) inhibitors demonstrated that upon virus infection of quiescent (G0) cells, the cell cycle did not progress beyond the G1/S border even after serum stimulation. Proteins which normally indicate G1/S transition (proliferating cell nuclear antigen [PCNA]) or G2/M transition (cyclin B1) were elevated by virus infection. PCNA levels were induced in infected cells and exhibited a punctate pattern of nuclear staining instead of the diffuse pattern observed in mock-infected cells. Cyclin B1 was induced in infected cells which exhibited a G1/S DNA content by FACS analysis, suggesting that expression of this key cell cycle function was dramatically altered by viral functions. These data demonstrate that contrary to expectations, cytomegalovirus inhibits normal cell cycle progression. The host cell is blocked prior to S phase to provide a favorable environment for viral replication.
Effect of potential vorticity flux on the circulation in the South China Sea

This study analyzes temperature and salinity products from the U.S. Navy Generalized Digital Environment Model. To avoid the fictitious assumption of no-motion reference level, a P-vector inverse method is employed to derive geostrophic velocity. Line integral of geostrophic velocity shows evidence for the existence of a sandwiched circulation in the South China Sea (SCS), i.e., cyclonic circulation in the subsurface and deep layers and anticyclonic in the intermediate layer. To reveal the factors responsible for the sandwiched circulation, we derive the potential vorticity equation based on a four-and-a-half-layer quasi-geostrophic model and apply theoretical potential vorticity constraint to density layers. The result shows that the sandwiched circulation is largely induced by planetary potential vorticity flux through lateral boundaries, mainly the Luzon Strait. This dynamical mechanism lies in the fact that the net potential vorticity inflow in the subsurface and deep layers leads to a positive layer-average vorticity in the SCS basin, yielding vortex stretching and a cyclonic basin-wide circulation. On the contrary, the net potential vorticity outflow in the intermediate layer induces a negative layer-average vorticity, generating an anticyclonic basin-wide circulation in the SCS. Furthermore, by illustrating different consequence from depth/density layers, we clarify that density layers are essential for applying theoretical potential vorticity constraint to the isolated deep SCS basin.
Nearby AGN and their hosts in the near infrared

We present near infrared ISAAC VLT observations of nine nearby (0.01 ≤ z ≤ 0.06) Active Galactic Nuclei selected from the Hamburg/ESO Survey and the Veron-Cetty & Veron catalog. Hydrogen recombination lines Paα and Brγ are observed in seven of the nine sources of which five show a broad component. In three sources, extended 1-0S(1) rotational-vibrational molecular hydrogen emission is detected. Stellar CO absorption is seen in four sources. In one of these objects, an upper limit of the central mass can be determined from the stellar velocity field. H -a ndKs-band imaging allow us to determine the morphology class of the host galaxies. Colors (with supplementary J-band 2MASS images) show that the four galaxies with detected CO absorption are characterized by an overall strong stellar contribution. One galaxy shows an increased extinction towards the nucleus. After removal of the nuclear point source, the host galaxies show colors typical for non-active spiral galaxies.
Market-Based Multirobot Coordination: A Comprehensive Survey and Analysis

Abstract : As robotic technology improves, we charge robots with increasingly varied and difficult tasks. Many of these tasks can potentially be completed better by a team of robots working together than by individual robots working alone. Coordination can lead to faster task completion, increased robustness, higher-quality solutions, and the completion of tasks impossible for single robots. Nevertheless, effective coordination can be difficult to achieve because of a range of adverse real-world conditions including dynamic events, changing task demands, resource failures, and limited deliberation time. The desire to overcome these challenges and harness the benefits of robot teams has made multirobot coordination a vital field in robotics research. Of the resulting wealth of research, market-based multirobot coordination approaches in particular have received significant attention and are growing in popularity within the community. These approaches harness the principles of market economies? which have successfully governed human coordination for thousands of years? and use them to enable robot coordination. In market-based approaches, robots on the team act as self-interested agents operating in a virtual economy in which tasks and team resources are exchanged over the market in pursuit of individual profit. The essence of market-based approaches is that the process of robots trading tasks and resources with one another to maximize their wealth simultaneously improves the efficiency of the team. Market-based approaches to multirobot coordination inherit many of the benefits associated with market economies, including flexibility, efficiency, responsiveness, robustness scalability, and generality. In practice, they have been successfully implemented in a variety of domains ranging from mapping and exploration to robot soccer.
Anatomy of the Lisfranc Joint Complex

The authors studied the Lisfranc joint complex using gross dissection and examination of anatomical sections of frozen samples in the frontal and sagittal planes. They distinguished a medial compartment, a central compartment, a lateral compartment, the secondary joint line, and the connections with the cuneoscaphoid articulation. The ligaments were divided on the basis of topography (dorsal, interosseous, and plantar) and course (longitudinal, oblique, and transverse). The dorsal and plantar ligaments reinforce the articular capsules. The interosseous ligaments are the strongest. A common characteristic of these ligaments is that they vary considerably in course, number, and insertions.
Wide-field fundus autofluorescence abnormalities and visual function in patients with cone and cone-rod dystrophies.

PURPOSE To evaluate the clinical utility of wide-field fundus autofluorescence (FAF) in patients with cone dystrophy and cone-rod dystrophy. METHODS Sixteen patients with cone dystrophy (CD) and 41 patients with cone-rod dystrophy (CRD) were recruited at one institution. The right eye of each patient was included for analysis. We obtained wide-field FAF images using a ultra-widefield retinal imaging device and measured the area of abnormal FAF. The association between the area of abnormal FAF and the results of visual acuity measurements, kinetic perimetry, and electroretinography (ERG) were investigated. RESULTS The mean age of the participants was 51.4 ± 17.4 years, and the mean logarithm of the minimum angle of resolution was 1.00 ± 0.57. The area of abnormal FAF correlated with the scotoma measured by the Goldman perimetry I/4e isopter (ρ = 0.79, P < 0.001). The area also correlated with amplitudes of the rod ERG (ρ = -0.63, P < 0.001), combined ERG a-wave (ρ = -0.72, P < 0.001), combined ERG b-wave (ρ = -0.66, P < 0.001), cone ERG (ρ = -0.44, P = 0.001), and flicker ERG (ρ = -0.47, P < 0.001). CONCLUSIONS The extent of abnormal FAF reflects the severity of functional impairment in patients with cone-dominant retinal dystrophies. Fundus autofluorescence measurements are useful for predicting retinal function in these patients.
Fast algorithm for robust template matching with M-estimators

We propose a fast algorithm for speeding up the process of template matching that uses M-estimators for dealing with outliers. We propose a particular image hierarchy called the p-pyramid that can be exploited to generate a list of ascending lower bounds of the minimal matching errors when a nondecreasing robust error measure is adopted. Then, the set of lower bounds can be used to prune the search of the p-pyramid, and a fast algorithm is thereby developed in this paper. This fast algorithm ensures finding the global minimum of the robust template matching problem in which a nondecreasing M-estimator serves as an error measure. Experimental results demonstrate the effectiveness of our method.
Effects of adaptivity and other external variables on mobile service adoption

This paper explores user interface between user and information systems in system adoption. Acceptance of a system is defined as a function of perceived usefulness and perceived ease of use. There are several external variables that have an impact on perceived usefulness and perceived ease of use. Therefore the content and interface design of every single application should be addressed accordingly to enhance users intention to use the system. The paper proposes that adding adaptive features into systems may be one of the approaches to address this phenomenon. We identified external variables including adaptive behavior impacting acceptance of mobile reservation system through three prototypes.