Miracle-dz/UniFAR-FTUs huggingface dataset:
Nicotinic Acetylcholine Receptors Interact with Dopamine in Induction of Striatal Long-Term Depression

The dorsal striatum participates in motor function and stimulus–response or “habit” learning. Acetylcholine (ACh) is a prominent neurotransmitter in the striatum and exerts part of its actions through nicotinic cholinergic receptors. Activation of these receptors has been associated with the enhancement of learning and certainly is instrumental in habitual use of nicotine. Nicotinic receptors have also been suggested to be a possible therapeutic target for disorders of the basal ganglia. In this report we show that the activation of nicotinic acetylcholine receptors in the dorsal striatum contributes to dopamine (DA)- and activity-dependent changes in synaptic efficacy. High-frequency activation of glutamatergic synapses onto striatal neurons results in a long-term depression (LTD) of synaptic efficacy that is dependent on the activation of dopamine receptors. This stimulation also produces robust increases in extracellular dopamine concentration as well as strong activation of cholinergic striatal interneurons. Antagonists of nicotinic acetylcholine receptors inhibit striatal LTD. However, on coapplication of dopamine reuptake inhibitors with nicotinic receptor antagonists, activity-induced striatal LTD is restored. Dopamine release is modulated by activation of nicotinic receptors in the dorsal striatum, and activation of nicotinic receptors during high-frequency synaptic activation appears to be capable of interacting with dopaminergic actions that lead to striatal LTD. Our results suggest that stimulation of mechanisms involved in striatal synaptic plasticity is an important role for striatal nicotinic acetylcholine receptors and that these mechanisms may contribute to the enhancement of learning and habit formation produced by nicotine intake.
Mitigation of Global Cooling by Stratospheric Chemistry Feedbacks in a Simulation of the Last Glacial Maximum

The impact of changes in the stratospheric ozone profile in the Last Glacial Maximum simulation under reduced atmospheric CO2 concentrations and different orbital elements is investigated using an Earth System Model. For this, simulations including an interactive atmospheric chemistry scheme is compared with simulations using the prescribed ozone profile for a preindustrial control run of the fifth Coupled Model Intercomparison Project (CMIP5). The contribution of the interactive chemistry reveals a significant warming of zonal mean surface temperature, +0.5 K (approximately 20%) in the tropics and up to +1.6 K in high latitudes. In the tropics, this mitigation of global cooling is related to longwave radiative feedbacks associated with circulation‐driven increases in the lower stratospheric ozone and in the stratospheric water vapor, and related decrease in cirrus clouds. The mechanisms are of opposite sign to and consistent with those obtained by increased CO2 simulations. In high latitude, the stronger mitigation of cooling is associated with sea ice retreat, which has the same sign to and is consistent with our previous paleoclimate simulation of the mid‐Holocene (CO2 concentration of 280 ppm and orbital element change) including interactive chemistry. Most previous Last Glacial Maximum simulations with the prescribed ozone profile exhibited cold bias in the tropics compared with geological proxy data, whereas this bias is reduced in our simulations through the use of the interactive ozone chemistry , although a warmer bias in the midlatitude is enhanced. We recommend climate models to include ozone profiles that are consistent with CO2 concentrations and solar forcing.
Visual maladaptation in contrast domain

In this work we simulate the effect of the human eye's maladaptation to visual perception over time through a supra-threshold contrast perception model that comprises adaptation mechanisms. Specifically, we attempt to visualize maladapted vision on a display device. Given the scene luminance, the model computes a measure of perceived multi-scale contrast by taking into account spatially and temporally varying contrast sensitivity in a maladapted state, which is then processed by the inverse model and mapped to a desired display's luminance assuming perfect adaptation. Our system simulates the effect of maladaptation locally, and models the shifting of peak spatial frequency sensitivity in maladapted vision in addition to the uniform decrease in contrast sensitivity among all frequencies. Through our GPU implementation we demonstrate the visibility loss of scene details due to maladaptation over time at an interactive speed.
Graph Analysis and Modularity of Brain Functional Connectivity Networks: Searching for the Optimal Threshold

Neuroimaging data can be represented as networks of nodes and edges that capture the topological organization of the brain connectivity. Graph theory provides a general and powerful framework to study these networks and their structure at various scales. By way of example, community detection methods have been widely applied to investigate the modular structure of many natural networks, including brain functional connectivity networks. Sparsification procedures are often applied to remove the weakest edges, which are the most affected by experimental noise, and to reduce the density of the graph, thus making it theoretically and computationally more tractable. However, weak links may also contain significant structural information, and procedures to identify the optimal tradeoff are the subject of active research. Here, we explore the use of percolation analysis, a method grounded in statistical physics, to identify the optimal sparsification threshold for community detection in brain connectivity networks. By using synthetic networks endowed with a ground-truth modular structure and realistic topological features typical of human brain functional connectivity networks, we show that percolation analysis can be applied to identify the optimal sparsification threshold that maximizes information on the networks' community structure. We validate this approach using three different community detection methods widely applied to the analysis of brain connectivity networks: Newman's modularity, InfoMap and Asymptotical Surprise. Importantly, we test the effects of noise and data variability, which are critical factors to determine the optimal threshold. This data-driven method should prove particularly useful in the analysis of the community structure of brain networks in populations characterized by different connectivity strengths, such as patients and controls.
An Assessment of Heavy Metals Pollution of Soils under Urban and Peri – Urban Irrigation System in Kano Metropolis

Samples were collected along the stream channel of Jakara, Salanta and Watari, and analyzed by the use of Atomic Absorption Spectrophotometer (AAS). The result of the analysis shows that there is variation in the concentration of the heavy metals between Jakara and Salanta studied sites and all mean concentration values of the heavy metals under investigation were found to be lower in Watari (Control site) than that of Jakara and Salanta which is attributed to the fact that the soil of the area was contaminated by industrial and domestic activities. The mean value of all metals under investigation have not reach the level that could caused any immediate threat as all the metals were found to be significantly lower than the European Union Regulatory value with exception of cadmium in Jakara (3.03 mg/kg) which is slightly above the European Union Regulatory value. Serious action is required to reduce the level of the contamination from industrial operation, domestic and automobile by reducing application of waste through treating the industrial and domestic waste before discharge and avoiding linkage between domestic sewage drainage and rivers that conveyed the irrigation water, also there is need to increases the pH and regular monitoring the rate of accumulation of the metals in the areas.
Simple and Reliable Method to Estimate the Fingertip Static Coefficient of Friction in Precision Grip

The static coefficient of friction (μstatic) plays an important role in dexterous object manipulation. Minimal normal force (i.e., grip force) needed to avoid dropping an object is determined by the tangential force at the fingertip-object contact and the frictional properties of the skin-object contact. Although frequently assumed to be constant for all levels of normal force (NF, the force normal to the contact), μ static actually varies nonlinearly with NF and increases at low NF levels. No method is currently available to measure the relationship between μstatic and NF easily. Therefore, we propose a new method allowing the simple and reliable measurement of the fingertip μstatic at different NF levels, as well as an algorithm for determining μstatic from measured forces and torques. Our method is based on active, back-and-forth movements of a subject's finger on the surface of a fixed six-axis force and torque sensor. μstatic is computed as the ratio of the tangential to the normal force at slip onset. A negative power law captures the relationship between μstatic and NF. Our method allows the continuous estimation of μstatic as a function of NF during dexterous manipulation, based on the relationship between μstatic and NF measured before manipulation.
Finite Satisfiability of the Two-Variable Guarded Fragment with Transitive Guards and Related Variants

We consider extensions of the two-variable guarded fragment, GF2, where distinguished binary predicates that occur only in guards are required to be interpreted in a special way (as transitive relations, equivalence relations, preorders, or partial orders). We prove that the only fragment that retains the finite (exponential) model property is GF2 with equivalence guards without equality. For remaining fragments, we show that the size of a minimal finite model is at most doubly exponential. To obtain the result, we invent a strategy of building finite models that are formed from a number of multidimensional grids placed over a cylindrical surface. The construction yields a 2-NExpTime upper bound on the complexity of the finite satisfiability problem for these fragments. We improve the bounds and obtain optimal ones for all the fragments considered, in particular NExpTime for GF2 with equivalence guards, and 2-ExpTime for GF2 with transitive guards. To obtain our results, we essentially use some results from integer programming.
Preventing Facial Pressure Ulcers in Acute Respiratory Distress Syndrome (ARDS)

BACKGROUND: In patients with acute lung injury and/or severe acute respiratory distress syndrome (ARDS), prone positioning is a therapeutic intervention to improve oxygenation. Positioning a patient in a prone position increases the risk of medical device–related pressure ulcers in the facial area. CASE STUDIES: This article summarizes experience with 4 patients with ARDS. Two did not receive pressure ulcer preventive measures and subsequently developed multiple necrotic facial pressure ulcers related to prone positioning for treatment of ARDS. The other 2 patients were managed on a thin silicone foam dressing; neither of these patients developed facial pressure ulcers during pronation therapy. CONCLUSION: The use of thin soft silicone foam dressings may prevent the development of facial deep tissue injuries in patients receiving prolonged pronation therapy.
Heterogeneity in the lymphatic vascular system and its origin

Lymphatic vessels have historically been viewed as passive conduits for fluid and immune cells, but this perspective is increasingly being revised as new functions of lymphatic vessels are revealed. Emerging evidence shows that lymphatic endothelium takes an active part in immune regulation both by antigen presentation and expression of immunomodulatory genes. In addition, lymphatic vessels play an important role in uptake of dietary fat and clearance of cholesterol from peripheral tissues, and they have been implicated in obesity and arteriosclerosis. Lymphatic vessels within different organs and in different physiological and pathological processes show a remarkable plasticity and heterogeneity, reflecting their functional specialization. In addition, lymphatic endothelial cells (LECs) of different organs were recently shown to have alternative developmental origins, which may contribute to the development of the diverse lymphatic vessel and endothelial functions seen in the adult. Here, we discuss recent developments in the understanding of heterogeneity within the lymphatic system considering the organ-specific functional and molecular specialization of LECs and their developmental origin.
Physical Factors Correlate to Microbial Community Structure and Nitrogen Cycling Gene Abundance in a Nitrate Fed Eutrophic Lagoon

Nitrogenous run-off from farmed pastures contributes to the eutrophication of Lake Ellesmere, a large shallow lagoon/lake on the east coast of New Zealand. Tributaries periodically deliver high loads of nitrate to the lake which likely affect microbial communities therein. We hypothesized that a nutrient gradient would form from the potential sources (tributaries) creating a disturbance resulting in changes in microbial community structure. To test this we first determined the existence of such a gradient but found only a weak nitrogen (TN) and phosphorous gradient (DRP). Changes in microbial communities were determined by measuring functional potential (quantification of nitrogen cycling genes via nifH, nirS, nosZI, and nosZII using qPCR), potential activity (via denitrification enzyme activity), as well as using changes in total community (via 16S rRNA gene amplicon sequencing). Our results demonstrated that changes in microbial communities at a phylogenetic (relative abundance) and functional level (proportion of the microbial community carrying nifH and nosZI genes) were most strongly associated with physical gradients (e.g., lake depth, sediment grain size, sediment porosity) and not nutrient concentrations. Low nitrate influx at the time of sampling is proposed as a factor contributing to the observed patterns.
Application of Social Identity Theory in Group Therapy with Stigmatized Adults

Abstract Social identity theory was applied in group therapy for adults with mild mental retardation. Social identity theory suggests that social group membership, also called collective identity, has an impact on self-esteem. Individuals will try to maintain self-esteem by viewing their social groups positively. This may not be possible for individuals who are members of a stigmatized group. However, it may be possible to enhance self-esteem by broadening one’s awareness of collective identity. Furthermore, being able to positively view other individuals who are co-members of one’s own stigmatized group can also have positive consequences for self-esteem. A clinical vignette demonstrates this process in group therapy. Results are discussed as being applicable to members of various stigmatized groups.
Robot-Assisted Endoscopic Surgery: A Four-Year Single-Center Experience

Background: Robotic systems were introduced in the late 1990s with the objective to overcome the technical limitations of endoscopic surgery. In this prospective cohort study the potential safety, feasibility, pitfalls and challenges of robotic systems in gastrointestinal endoscopic surgery are assessed and our vision on future perspectives is presented. Methods:Between August 2000 and December 2004, 208 procedures were performed with support of the Intuitive Surgical da Vinci™ robotic system. We started with cholecystectomies (40) and Nissen fundoplications (41) to gain experience with robot-assisted surgery. In the following years more complex procedures were carried out, i.e. colorectal procedures (7), type III/IV paraesophageal hernia repair (32), redo Nissen fundoplications (9), Heller myotomies (24), esophageal resections (22), rectopexies (16) and aortobifemoral bypasses (3). Results:The median robotic set-up time was 13 min, and 7 min in the last 50 procedures. The median operating time for the total of procedures was 120 min (45–420) and the median blood loss was 30 ml (0–800). Fourteen procedures were converted to open surgery (6.7%). Equipment-related problems, such as start-up failures and positioning difficulties of the robotic arms, were encountered in 11 cases (5.3%). Postoperative complications were seen in 11 patients (11/176, 6.3%) after robot-assisted laparoscopic procedures. Pulmonary complications occurred in 11 patients, cardiac in 3, anastomic leakage in 3, chylous leakage in 3 and vocal cord paralysis in 3 after thoracoscopic esophagolymphadenectomy for esophageal cancer. One patient died 12 days after esophageal resection (0.5%). Conclusion:During the implementation of this robotic system, we experienced an obvious learning curve, particularly with regard to the positioning of the robot cart and communication between the surgeon and operating team. After 4 years, we have experienced that the merits of the current generation of this technology probably is preserved to complex endoscopic procedures with delicate dissection and suturing. In the nearby future we will focus on the treatment of motility disorders and malignancies of the esophagus and stomach. The position of the robot in the endoscopic operating room will have to be clarified by the outcome of prospective research. Furthermore, priorities have to be acclaimed on technical sophistication and cost reduction of these systems.
Dietitians and Nutritionists: Stigma in the Context of Obesity. A Systematic Review

Aim Negative attitudes towards people with obesity are common even in health care settings. So far, the attitudes and causal beliefs of dietitians and nutritionists have not been investigated systematically. The aim of this article was to review the current state of quantitative research on weight-related stigma by dietitians and nutritionists. Method A systematic literature review was conducted in 2014 using PubMed, PsycINFO, Web of Science and Cochrane Library. Results Eight studies were found that differ in regard to study characteristics, instruments and the origin of the sample. Six out of eight studies reported weight stigma expressed by dietitians and nutritionists. Their believed causes of obesity indicated a defined preference for internal factors rather than genetics or biology. Discussion Results of studies were not homogenous. The degree of negative attitudes by dietitians and nutritionists towards people with obesity appeared to be slightly less pronounced compared to the general public and other health care professionals. Stigma and its consequences should be included into educational programs to optimally prepare dietitians and nutritionists.
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization

In practice, the parameters of control policies are often tuned manually. This is time-consuming and frustrating. Reinforcement learning is a promising alternative that aims to automate this process, yet often requires too many experiments to be practical. In this paper, we propose a solution to this problem by exploiting prior knowledge from simulations, which are readily available for most robotic platforms. Specifically, we extend Entropy Search, a Bayesian optimization algorithm that maximizes information gain from each experiment, to the case of multiple information sources. The result is a principled way to automatically combine cheap, but inaccurate information from simulations with expensive and accurate physical experiments in a cost-effective manner. We apply the resulting method to a cart-pole system, which confirms that the algorithm can find good control policies with fewer experiments than standard Bayesian optimization on the physical system only.
Analysis of Euglena gracilis chloroplast deoxyribonucleic acid with a restriction endonuclease, EcoRI

Cleavage of chloroplast deoxyribonucleic acid (DNA) of Euglena gracilis Z with restriction endonuclease RI from Escherichia coli (EcoRI) yielded 23 bands upon electrophoresis in gels of agarose. Four of the bands contained twice the stoichiometric amount of DNA. One of these bands contained two similarly sized fragments. The sum of the molecular weight of the 24 different fragments equaled the molecular weight of the circular molecule. The restriction fragments had different buoyant densities, with four having distinctly heavy densities in CsCl. Restriction fragments with a high buoyant density were preferentially lost when broken chloroplast DNA was purified by equilibrium density gradient centrifugation. Hybridization of chloroplast ribosomal ribonucleic acid to intact chloroplast DNA determined that there are two cistrons for 16S and 23S ribosomal ribonucleic acid. These two cistrons are located on six restriction fragments, all of which have buoyant densities greater than the intact molecule of chloroplast DNA.
Identification and characterization of glucose transport proteins in plasma membrane- and Golgi vesicle-enriched fractions prepared from lactating rat mammary gland.

Plasma membrane- and Golgi vesicle-enriched membrane fractions were prepared from day-10 lactating rat mammary glands. Each fraction was found to contain a single set of D-glucose-inhibitable cytochalasin B-binding sites: plasma membranes and Golgi vesicles bound 20 +/- 2 and 53 +/- 4 pmol of cytochalasin/mg of membrane protein (means +/- S.E.M.), with dissociation constants of 259 +/- 47 and 520 +/- 47 nM respectively. Anti-peptide antibodies against the C-terminal region (residues 477-492) of the rat brain/human erythrocyte glucose transporter labelled a sharp band of apparent Mr 50,000 on Western blots of both fractions. Treatment with endoglycosidase F before blotting decreased the apparent Mr of this band to 38,000, indicating that it corresponded to a glycoprotein. Confirmation that this immunologically cross-reactive band was a glucose transporter was provided by the demonstration that it could be photoaffinity-labelled, in a D-glucose-sensitive fashion, with cytochalasin B. Quantitative Western blotting studies yielded values of 28 +/- 5 and 23 +/- 3 pmol of immunologically cross-reactive glucose transporters/mg of membrane protein in the plasma membrane and Golgi vesicle fractions respectively. From comparison with the concentration of cytochalasin B-binding sites, it is concluded that a protein homologous to the rat brain glucose transporter constitutes the major glucose transport species in the plasma membranes of mammary gland epithelial cells. Glucose transporters are also found in the Golgi membranes of these cells, at least half of them being similar, if not identical, to the transporters of the plasma membrane. However, their function in this location remains unclear.