Miracle-dz/UniFAR-FTUs huggingface dataset:
Endogenous competition against binding of [18F]DMFP and [18F]fallypride to dopamine D2/3 receptors in brain of living mouse

Aim. Molecular imaging studies with benzamide radioligands can reveal competition from endogenous binding at D2/3‐receptors in living brain. However, single photon emission computed tomography (SPECT) methods suffer from limited spatial resolution, and [11C]‐labeled ligands are only available at positron emission tomography (PET) research sites with cyclotron‐radiochemistry facilities, whereas [18F] can be transported, due to its longer physical half‐life. Therefore, we endeavored to characterize the vulnerabilities of the benzamide antagonist [18F]desmethoxyfallypride (DMFP) and its high‐affinity congener [18F]fallypride (FP) to competition from endogenous dopamine in living mouse brain. Methods. Groups of awake mice were pretreated with saline, amphetamine (10 mg/kg), or reserpine (5 mg/kg), followed by i.v. tracer injections. Mice were killed at 2.5–90 min (DMFP) or 2.5–180 min (FP) circulation times. Brains were dissected and regional radioactivity concentration measured by gamma counting. Other groups of mice were anesthetized for dynamic microPET recordings with DMFP or FP. Binding potentials (BPND) were calculated using cerebellum as reference region. Results. With 90‐min circulation, DMFP BPND in striatum was 2.4 by dissection and 2.2 by microPET, which showed a 62% decrease in response to amphetamine‐evoked dopamine release and a 33% increase after reserpine‐evoked dopamine depletion. With 120‐min circulation, FP BPND in striatum was 24.1 by dissection and 9.2 by microPET, which showed a 31% decrease in the amphetamine group, but no effect of reserpine. Dissection showed similar sensitivities for FP binding, but only a 29% amphetamine‐evoked reduction for DMFP. Conclusions. Relative to gold standard ex vivo results, microPET estimates of DMFP BPND were unbiased, whereas FP BPND in striatum was substantially underestimated. Both tracers proved suitable for revealing pharmacologically evoked changes in competition at D2/3‐receptors in striatum of living mice. Synapse 64:313–322, 2010. © 2009 Wiley‐Liss, Inc.
Honey bees are the dominant diurnal pollinator of native milkweed in a large urban park

Abstract In eastern North America, the field milkweed, Asclepias syriaca L. (Asclepiadaceae), is used in planting schemes to promote biodiversity conservation for numerous insects including the endangered monarch butterfly, Danaus plexippus (Linnaeus) (Nymphalidae). Less is known about its pollinators, and especially in urban habitats where it is planted often despite being under increasing pressure from invasive plant species, such as the related milkweed, the dog‐strangling vine (DSV), Vincetoxicum rossicum (Kleopow) Barbar. (Asclepiadaceae). During the A. syriaca flowering period in July 2016, we surveyed bees in open habitats along a DSV invasion gradient and inspected 433 individuals of 25 bee species in 12 genera for pollinia: these were affixed to bees that visited A. syriaca for nectar and contain pollen packets that are vectored (e.g., transferred) between flowers. Of all bees sampled, pollinia were found only on the nonindigenous honeybee, Apis mellifera (43% of all bees identified), as well as one individual bumblebee, Bombus impatiens Cresson. Pollinia were recorded from 45.2% of all honeybees collected. We found no relationship between biomass of DSV and biomass of A. syriaca per site. There was a significant positive correlation between A. syriaca biomass and the number of pollinia, and the proportion vectored. No relationship with DSV biomass was detected for the number of pollinia collected by bees but the proportion of vectored pollinia declined with increasing DSV biomass. Although we find no evidence of DSV flowers attracting potential pollinators away from A. syriaca and other flowering plants, the impacts on native plant–pollinator mutualisms relate to its ability to outcompete native plants. As wild bees do not appear to visit DSV flowers, it could be altering the landscape to one which honeybees are more tolerant than native wild bees.
N-Acylethanolamines in seeds. Quantification Of molecular species and their degradation upon imbibition

N-Acylethanolamines (NAEs) were quantified in seeds of several plant species and several cultivated varieties of a single species (cotton [Gossypium hirstutum]) by gas chromatography-mass spectroscopy. The total NAE content of dry seeds ranged from 490 +/- 89 ng g(-1) fresh weight in pea (Pisum sativum cv early Alaska) to 1,608 +/- 309 ng g(-1) fresh weight in cotton (cv Stoneville 7A glandless). Molecular species of NAEs in all seeds contained predominantly 16C and 18C fatty acids, with N-linoleoylethanolamine (NAE18:2) being the most abundant (approaching 1,000 ng g(-1) fresh weight in cottonseeds). Total NAE levels dropped drastically following 4 h of imbibition in seeds of pea, cotton, and peanut (Arachis hypogea cv Virginia), and this decline was most pronounced for NAE18:2. A novel enzyme activity was identified in cytosolic fractions of imbibed cottonseeds that hydrolyzed NAE18:2 in vitro. NAE degradation was optimal at 35 degrees C in 50 mM MES buffer, pH 6.5, and was inhibited by phenylmethylsulfonyl fluoride and 5, 5'-dithio-bis(2-nitrobenzoic acid), which is typical of other amide hydrolases. Amidohydrolase activity in cytosolic fractions exhibited saturation kinetics toward the NAE18:2 substrate, with an apparent K(m) of 65 &mgr;M and a V(max) of 83 nmol min(-1) mg(-1) protein. Total NAE amidohydrolase activity increased during seed imbibition, with the highest levels (about four times that in dry seeds) measured 2 h after commencing hydration. NAEs belong to the family of "endocannabinoids," which have been identified as potent lipid mediators in other types of eukaryotic cells. This raises the possibility that their imbibition-induced metabolism in plants is involved in the regulation of seed germination.
Unmanned Aerial Vehicles Identification and Tracking Based on Video Data Analysis

The proposed method implements automatic capture, tracking and identification of unmanned aerial vehicles (UAVs) in video sequence frames under the following conditions. The scene has a moving background, which in general can be highly detailed (complex background), or smooth; the size of objects of interest from 8×8 to 100×100 pixels; speed of movement from zero to 10 elements per frame; several objects move within the frame, including the object of interest; objects can be both artificial and natural. The proposed method at the stage of segmentation and tracking allows to implement segmentation for objects of interest with a size up to 5 blocks with a random error less than 15% and for objects of larger sizes 3-5%. Systematic error less than 13%. At the identification step, the balanced accuracy metric is 0.83. The novelty of the presented work is that for the first time the design approach and research results of a comprehensive UAV detection, tracking and identification procedure for various surveillance conditions and with a significant change in the size of the object in the frame during tracking are described.
Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning

DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique, the number of protein sequences is unprecedentedly increasing. Thus it is necessary to develop computational methods to identify the DNA-binding proteins only based on the protein sequence information. In this study, a novel method called iDNA-KACC is presented, which combines the support vector machine (SVM) and the auto-cross covariance transformation. The protein sequences are first converted into profile-based protein representation, and then converted into a series of fixed-length vectors by the auto-cross covariance transformation with Kmer composition. The sequence order effect can be effectively captured by this scheme. These vectors are then fed into support vector machine (SVM) to discriminate the DNA-binding proteins from the non-DNA-binding ones. iDNA-KACC achieves an overall accuracy of 75.16% and Matthew correlation coefficient of 0.5 by a rigorous jackknife test. Its performance is further improved by employing an ensemble learning approach, and the improved predictor is called iDNA-KACC-EL. Experimental results on an independent dataset shows that iDNA-KACC-EL outperforms all the other state-of-the-art predictors, indicating that it would be a useful computational tool for DNA binding protein identification.
Control of thermoregulatory sweating is altered by hydration level and exercise intensity.

The purpose of this study was to examine the thermoregulatory sweating control parameters of threshold temperature and sensitivity to determine whether 1) these variables were altered by hypohydration level and exercise intensity and 2) these alterations, if present, were additive and independent. Nine heat-acclimated men completed a matrix of nine trials: three exercise intensities of 25, 45, and 65% maximal O2 uptake and three hydration levels, i.e., euhydration and hypohydration (Hy) at 3 and 5% of body weight. During each trial, subjects attempted 50 min of treadmill exercise in a warm room (30 degrees C dry bulb, 50% relative humidity) while esophageal temperature and upper arm sweating rate were continuously measured. Hypohydration was achieved by exercise and fluid restriction the day preceding the trials. The following new findings were made: 1) threshold temperature increased in graded manner with hypohydration level (approximately 0.06 degree C/% Hy); 2) sensitivity decreased in a graded manner with hypohydration level (approximately 0.06 units/%Hy); 3) threshold temperature was not altered by exercise intensity; and 4) sensitivity increased from low- to moderate- and high-intensity exercise. We conclude that both hypohydration level and exercise intensity produce independent effects on control of thermoregulatory sweating.
Trajectory Prediction of Humans in Factories and Warehouses with Real-Time Locating Systems

Flexible intralogistics systems use automated guided vehicles (AGV) to transport goods. In assembly and warehouses, AGVs and human workers often work side by side. For optimal navigation, AGVs must consider human movement and estimate future positions of workers. Using real-time locating systems (RTLS) to improve human-robot collaboration enables more energy-efficient and safer AGV wayfinding strategies. This paper gives a summary on the topics RTLS, AGV wayfinding and trajectory prediction and introduces the momentum-based approach to predicting future worker positions in factories and warehouses. The results show that ultra-wideband-based RTLS are very well suited for trajectory prediction in the production sector.
Opposite Effects of Myocardial Stretch and Verapamil on the Complexity of the Ventricular Fibrillatory Pattern: An Experimental Study

CHORRO, F.J., et al.: Opposite Effects of Myocardial Stretch And Verapamil on The Complexity of The Ventricular Fibrillatory Pattern: An Experimental Study. An experimental model is used to analyze the effects of ventricular stretching and verapamil on the activation patterns during VF. Ten Langendorff‐perfused rabbit hearts were used to record VF activity with an epicardial multiple electrode before, during, and after stretching with an intraventricular balloon, under both control conditions and during verapamil (Vp) infusion (0.4–0.8 μmol). The analyzed parameters were dominant frequency (FrD) spectral analysis, the median (MN) of the VF intervals, and the type of activation maps during VF (I = one wavelet without block lines, II = two simultaneous wavelets with block lines, III = three or more wavelets with block lines). Stretch accelerates VF (FrD: 22.8 ± 6.4 vs 15.2 ± 1.0 Hz, P < 0.01; MN: 48 ± 13 vs 68 ± 6 ms, P < 0.01). On fitting the FrD time changes to an exponential model after applying and suppressing stretch, the time constants (stretch: 101.2 ± 19.6 s; stretch suppression: 97.8 ± 33.2 s) do not differ significantly. Stretching induces a significant variation in the complexity of the VF activation maps with type III increments and type I and II decrements (control: I = 17.5%, II = 50.5%, III = 32%; stretch: I = 7%, II = 36.5%, III = 56.5%, P < 0.001). Vp accelerates VF (FrD: 20.9 ± 1.9 Hz, P < 0.001 vs control; MN: 50 ± 5 ms, P < 0.001 vs control) and diminishes activation maps complexity (I = 25.5%, II = 60.5%, III = 14%, P < 0.001 vs control). On applying stretch during Vp perfusion, the fibrillatory process is not accelerated to any greater degree. However, type I and II map decrements and type III increments are recorded, though reaching percentages similar to control (I = 16.5%, II = 53%, III = 30.5%, NS vs control). The following conclusions were found: (1) myocardial stretching accelerates VF and increases the complexity of the VF activation pattern; (2) time changes in the FrD of VF during and upon suppressing stretch fit an exponential model with similar time constants; and (3) although stretching and verapamil accelerate the VF process, they exert opposite effects upon the complexity of the fibrillatory pattern.
A methodology for Automatic Detection and Extraction of Road Edges from High Resolution Remote Sensing Images

Based on analysis of roads features in high resolution remote sensing (RS) images, we improve the traditional algorithm for automatic edge detection and extraction and put forward a new methodology. Mathematical morphology reconstruction and boundary tracing algorithm are introduced to automatically detect and extract edges from high resolution RS images. Three factors, P factor, F factor and C factor, are defined to describe the shape characteristics of edges. K-mean cluster algorithm is then utilized to identify and extract road edges from the huge edge sets. Finally an example gives fine result of this methodology.
Recovery from alcohol problems with and without treatment: prevalence in two population surveys.

OBJECTIVES The purpose of this study was to determine the prevalence of recovery from alcohol problems with and without treatment, including whether such recoveries involved abstinence or moderate drinking. METHODS Data from two surveys of randomly selected adults in the general population were analyzed. Random-digit dialing was used to conduct telephone interviews with 11,634 and 1034 respondents. Respondents 20 years of age or older were categorized on the basis of drinking status and history. RESULTS Both surveys found that most individuals (77.5% and 77.7%) who had recovered from an alcohol problem for 1 year or more did so without help or treatment. A sizable percentage (38% and 63%) also reported drinking moderately after resolving their problem. CONCLUSIONS These two surveys are among the first to report prevalence rates for recovery from alcohol problems for treated and untreated individuals and for moderation and abstinence outcomes.
Benzo[a]Pyrene, 3-Methylcholanthrene and ß-Naphthoflavone Induce Oxidative Stress in Hepatoma Hepa 1c1c7 Cells by an AHR-dependent Pathway

Polycyclic aromatic hydrocarbons have been shown to cause oxidative stress in vitro and in vivo in various animal models but the mechanisms by which these compounds produce oxidative stress are unknown. In the current study we have investigated the role of the aryl hydrocarbon receptor (AHR) in the production of reactive oxygen species (ROS) by its cognate ligands and the consequent effect on cyp1a1 activity, mRNA and protein expressions. For this purpose, Hepa 1c1c7 cells wild-type (WT) and C12 mutant cells, which are AHR-deficient, were incubated with increasing concentrations of the AHR-ligands, benzo[a]pyrene (B[a]P, 0.25-25 μM), 3-methylcholanthrene (3MC, 0.1-10 μM) and β-naphthoflavone (βNF, 1-50 μM). The studied AHR-ligands dose-dependently increased lipid peroxidation in WT but not in C12 cells. However, only B[a]P and βNF, at the highest concentrations tested, significantly increased H2O2 production in WT but not C12 cells. The increase in lipid peroxidation and H2O2 production by AHR-ligands were accompanied by a decrease in the cyp1a1 catalytic activity but not mRNA or protein expressions, which were significantly induced in a dose-dependent manner by all AHR-ligands, suggesting a post-translational mechanism is involved in the decrease of cyp1a1 activity. The AHR-ligand-mediated decrease in cyp1a1 activity was reversed by the antioxidant N-acetylcysteine. Our results show that the AHR-ligands induce oxidative stress by an AHR-dependent pathway.
Motion artifact reduction in pediatric diffusion tensor imaging using fast prospective correction

To evaluate the patterns of head motion in scans of young children and to examine the influence of corrective techniques, both qualitatively and quantitatively. We investigate changes that both retrospective (with and without diffusion table reorientation) and prospective (implemented with a short navigator sequence) motion correction induce in the resulting diffusion tensor measures.
Data-driven methods for interactive visual content creation and manipulation

Software tools for creating and manipulating visual content --- be they for images, video or 3D models --- are often difficult to use and involve a lot of manual interaction at several stages of the process. Coupled with long processing and acquisition times, content production is rather costly and poses a potential barrier to many applications. Although cameras now allow anyone to easily capture photos and video, tools for manipulating such media demand both artistic talent and technical expertise. However, at the same time, vast corpuses with existing visual content such as Flickr, YouTube or Google 3D Warehouse are now available and easily accessible. This thesis proposes a data-driven approach to tackle the above mentioned problems encountered in content generation. To this end, statistical models trained on semantic knowledge harvested from existing visual content corpuses are created. Using these models, we then develop tools which are easy to learn and use, even by novice users, but still produce high-quality content. These tools have intuitive interfaces, and enable the user to have precise and flexible control. Specifically, we apply our models to create tools to simplify the tasks of video manipulation, 3D modeling and material assignment to 3D objects. Softwarewerkzeuge zum Erstellen und Bearbeiten von visuellen Inhalten --- seien es Bilder, Videos oder 3D-Modelle --- sind haufig schwierig zu bedienen und erfordern viel manuelle Interaktion an verschiedenen Stellen des Verfahrens. In Verbindung mit langen Bearbeitungs- und Erfassungszeiten ist die Erzeugung von Inhalten eher aufwendig und stellt ein potentielles Hindernis fur viele Anwendungen dar. Obwohl heute Kameras jedem Anwender auf einfache Art und Weise erlauben Bilder und Videos aufzunehmen, erfordern Werkzeuge zur Bearbeitung dieser sowohl kunstlerisches Talent, als auch technische Kompetenz. Gleichzeitig sind riesige Korpora mit bereits vorhandenen visuellen Inhalten, wie zum Beispiel Flickr, Youtube oder Google 3D Warehouse, verfugbar und leicht zuganglich. Diese Arbeit stellt einen datengetriebenen Ansatz vor, der die erwahnten Probleme der Inhaltserzeugung behandelt. Zu diesem Zweck werden statistische Modelle erzeugt, die auf semantischem Wissen trainiert worden sind, welches aus bestehenden Korpora von visuellen Inhalten gesammelt worden ist. Durch die Verwendung dieser Modelle ist es moglich Werkzeuge zu entwickeln, die sogar von unerfahrenen Anwendern einfach zu erlernen und zu benutzen sind, aber dennoch qualitativ hochwertige Inhalte produzieren. Diese Werkzeuge haben intuitive Benutzeroberflachen und geben dem Benutzer eine prazise und flexible Kontrolle. Insbesondere werden die Modelle eingesetzt, um Werkzeuge zu erzeugen, die Aufgaben Videobearbeitung, 3D-Modellerstellung und Materialzuweisung zu 3D-Modellen vereinfachen.
Not a Usual Suspect; Rabeprazole Therapy Presenting as a Severe Neuropsychiatric Illness: Case Report

We report the case of a patient who, as a result of exposure to the proton pump inhibitor rabeprazole, developed a severe and disabling admixture of neuropsychiatric symptoms. Because of its widely appreciated placebo-like side effect profile, rabeprazole was never suspected as being the cause of his symptoms. Instead, a somatoform spectrum disorder was assigned based on the patient's atypical symptom presentation, progressive course, subjective psychological distress, intemperate consumption of healthcare resources over a relatively brief period of time and lack of any medical explanation for his symptoms at that time, despite exhaustive laboratory and radiologic work-ups. This case report reinforces the notion that even a medication such as rabeprazole, with an established safety and tolerability profile, may be associated with side effects severe enough to mimic disabling neuropsychiatric illness.
An economic analysis of management strategies for closed and open grade I tibial shaft fractures

Background Closed and open grade I (low-energy) tibial shaft fractures are a common and costly event, and the optimal management for such injuries remains uncertain. Methods We explored costs associated with treatment of low-energy tibial fractures with either casting, casting with therapeutic ultrasound, or intramedullary nailing (with and without reaming) by use of a decision tree. Results From a governmental perspective, the mean associated costs were USD 3,400 for operative management by reamed intramedullary nailing, USD 5,000 for operative management by non-reamed intramedullary nailing, USD 5,000 for casting, and USD 5,300 for casting with therapeutic ultrasound. With respect to the financial burden to society, the mean associated costs were USD 12,500 for reamed intramedullary nailing, USD 13,300 for casting with therapeutic ultrasound, USD 15,600 for operative management by non-reamed intramedullary nailing, and USD 17,300 for casting alone. Interpretation Our analysis suggests that, from an economic standpoint, reamed intramedullary nailing is the treatment of choice for closed and open grade I tibial shaft fractures. Considering financial burden to society, there is preliminary evidence that treatment of low-energy tibial fractures with therapeutic ultrasound and casting may also be an economically sound intervention.
Fault Estimation Observer Design for Lipschitz Nonlinear Multi-agent Systems in Finite Frequency Domain

This paper deals with the fault estimation observer design for Lipschitz nonlinear multi-agent systems in finite frequency domain. By defining the relative output estimation error, the dynamic error system is given. According to the finite frequency performance index defined for a class of Lipschitz nonlinear systems and the properties of the matrix trace, the sufficient conditions of stable condition and robust performance index is obtained. Finally, an examples is given to demonstrate the effectiveness of the proposed method.