Miracle-dz/UniFAR-FTUs huggingface dataset:
Oral and Tympanic Membrane Temperatures Are Inaccurate to Identify Fever in Emergency Department Adults

Introduction Identifying fever can influence management of the emergency department (ED) patient, including diagnostic testing, treatment, and disposition. We set out to determine how well oral and tympanic membrane (TM) temperatures compared with rectal measurements. Methods A convenience sample of consecutively adult ED patients had oral, TM, and rectal temperatures performed within several minutes of each other. Descriptive statistics, Bland–Altman agreement matrices with 95% confidence interval (CI), and measures of test performance, including sensitivity, specificity, predictive values, and interval likelihood ratios were performed. Results A total of 457 patients were enrolled with an average age of 64 years (standard deviation: 19 years). Mean temperatures were: oral (98.3°F), TM (99.6°F), and rectal (99.4°F). The mean difference in rectal and oral temperatures was 1.1°F, although there was considerable lack of agreement between oral and rectal temperatures, with the oral temperature as much as 2.91°F lower or 0.74°F higher than the rectal measurement (95% CI). Although the difference in mean temperature between right TM and rectal temperature was only 0.22°F, the right TM was lower than rectal by up to 1.61°F or greater by up to 2.05°F (95% CI). Test performance varied as the positive predictive value of the oral temperature was 97% and for tympanic temperature was 55% (relative to a rectal temperature of 100.4°F or higher). Comparative findings differed even at temperatures considered in the normal range; among patients with an oral temperature of 98.0 to 98.9, 38% (25/65) were found to have a rectal temperature of 100.4 or higher, while among patients with a TM of 98.0 to 98.9, only 7% (10/134) were found to have a rectal temperature of 100.4 or higher. Conclusion The oral and tympanic temperature readings are not equivalent to rectal thermometry readings. Oral thermometry frequently underestimates the temperature relative to rectal readings, and TM values can either under- or overestimate the rectal temperature. The clinician needs to be aware of the varying relationship between oral, TM, and rectal temperatures when interpreting readings.
Brain Imaging Studies in Mood and Anxiety Disorders

Abstract: Human studies attempting to elucidate brain functioning in health and disease are crucial for our understanding of neuropsychiatric disorders. In the past, scientists relied heavily on neurological lesion studies to understand the functional roles of brain areas. In the last few decades, brain imaging research has made it possible to investigate the molecular and synaptic neuronal events as well as the functioning of neuronal networks in vivo, in patients with neuropsychiatric illnesses. In this context, the functional role of the amygdala has been a focus of neuroimaging studies by leading researchers. Several of these researchers presented papers at a conference, entitled The Amygdala in Brain Function: Basic and Clinical Approaches, that provided the basis for this volume. These papers follow this review in the current volume. The present paper briefly summarizes the highlights of the different presentations, focusing on the functional diversity of the amygdala and its role in different neuropsychiatric disorders; reviews the various brain imaging technologies currently available; and discusses the major findings on the pathophysiology and treatment of depression, bipolar disorder, and anxiety disorders.
CBX4-mediated SUMO modification regulates BMI1 recruitment at sites of DNA damage

Polycomb group (PcG) proteins are involved in epigenetic silencing where they function as major determinants of cell identity, stem cell pluripotency and the epigenetic gene silencing involved in cancer development. Recently numerous PcG proteins, including CBX4, have been shown to accumulate at sites of DNA damage. However, it remains unclear whether or not CBX4 or its E3 sumo ligase activity is directly involved in the DNA damage response (DDR). Here we define a novel role for CBX4 as an early DDR protein that mediates SUMO conjugation at sites of DNA lesions. DNA damage stimulates sumoylation of BMI1 by CBX4 at lysine 88, which is required for the accumulation of BMI1 at DNA damage sites. Moreover, we establish that CBX4 recruitment to the sites of laser micro-irradiation-induced DNA damage requires PARP activity but does not require H2AX, RNF8, BMI1 nor PI-3-related kinases. The importance of CBX4 in the DDR was confirmed by the depletion of CBX4, which resulted in decreased cellular resistance to ionizing radiation. Our results reveal a direct role for CBX4 in the DDR pathway.
A GDI (AGS3) and a GEF (GIV) regulate autophagy by balancing G protein activity and growth factor signals

This work introduces a nonreceptor GEF for Gαi subunits as a regulator of autophagy. The authors reveal how growth factors reversibly regulate autophagy by a unique mechanism that involves reversible regulation of Gαi3 activity by AGS3, a GDI, and GIV, a GEF, during initiation and reversal of autophagy, respectively.
Controlled size manipulation of free gold nanoparticles by laser irradiation and their facile bioconjugation

The average size of gold nanoparticles (AuNP), obtained by laser ablation in solution, is reduced to a few nanometers or increased to tens of nanometers using laser treatments with different strategies. The techniques do not require any stabilizing molecules and the AuNP surface is free from strongly linked ligands. This allowed one-step, immediate and very efficient functionalization of AuNP with commonly used proteins like bovine serum albumin (BSA), which can be detected, using small nanoparticles, down to 3 picomoles and with a 1 : 10 concentration ratio of BSA : AuNP.
Immunotoxins and Anticancer Drug Conjugate Assemblies: The Role of the Linkage between Components

Immunotoxins and antibody-drug conjugates are protein-based drugs combining a target-specific binding domain with a cytotoxic domain. Such compounds are potentially therapeutic against diseases including cancer, and several clinical trials have shown encouraging results. Although the targeted elimination of malignant cells is an elegant concept, there are numerous practical challenges that limit conjugates’ therapeutic use, including inefficient cellular uptake, low cytotoxicity, and off-target effects. During the preparation of immunoconjugates by chemical synthesis, the choice of the hinge component joining the two building blocks is of paramount importance: the conjugate must remain stable in vivo but must afford efficient release of the toxic moiety when the target is reached. Vast efforts have been made, and the present article reviews strategies employed in developing immunoconjugates, focusing on the evolution of chemical linkers.
Contribution-Based Grouping under Noise

Many real-world mechanisms are “noisy” or “fuzzy”, that is the institutions in place to implement them operate with non-negligible degrees of imprecision and error. This observation raises the more general question of whether mechanisms that work in theory are also robust to more realistic assumptions such as noise. In this paper, in the context of voluntary contribution games, we focus on a mechanism known as “contribution-based competitive grouping”. First, we analyze how the mechanism works under noise and what happens when other assumptions such as population homogeneity are relaxed. Second, we investigate the welfare properties of the mechanism, interpreting noise as a policy instrument, and we use logit dynamic simulations to formulate mechanism design recommendations.
Assessment of a multidimensional satellite rainfall error model for ensemble generation of satellite rainfall data

This letter presents preliminary insights from the pursuit of the following scientific query: "How realistic is ensemble generation of satellite rainfall data by a multidimensional satellite rainfall error model? " The authors first evaluated the scale-dependent multidimensional error structure for two satellite rainfall algorithms developed at the NASA Goddard Space Flight Center, namely: 1) the infrared (IR) estimates known as the 3B41RT product and 2) the combined passive microwave (PMW) and IR estimates known as the 3B42RT product. Ground radar (WSR-88D) rainfall fields from the Southern Plains of the U.S. were used as reference. Next, by reversing the definition of reference and corrupted rain fields produced by a multidimensional satellite rainfall error model (SREM2D, developed by Hossain and Anagnostou), the authors derived the inverse multidimensional error structure of WSR-88D rainfall fields with respect to the satellite rainfall estimation algorithms. SREM2D was then applied on actual satellite rainfall data with the pertinent inverse error parameters to generate an ensemble of most likely realizations of the reference WSR-88D rainfall fields. The simulated ensemble was then compared with that derived from a simpler (bidimensional) inverse error modeling approach. The accuracy of the SREM2D rainfall ensemble was observed to be higher than the simpler error-modeling scheme for the 3B41RT product. No tangible improvement was observed for the 3B42RT product, which is attributed to the heterogeneous nature of 3B42RT data statistics that was not accounted for in the inverse SREM2D approach. The overall conclusion is that a multidimensional error modeling approach such as SREM2D has the potential to generate realistic ensembles of satellite rainfall fields, which should be considered as an improvement over the more widely used simpler error-modeling scheme. A combined use of the multidimensional error model with a sequential error correction scheme could therefore potentially improve the diagnosis of satellite rainfall-based predictability of the global water and energy cycle
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets

High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. Targeted Projection Pursuit is a novel method for visualising high-dimensional datasets which allows the user to interactively explore the space of possible views to find those that meet their requirements. A prototype tool that utilises this method is introduced, and is shown to allow users to explore data through an interface that is transparent and efficient. The tool and underlying technique are general purpose - applicable to any high-dimensional numeric data, and supporting a wide range of exploratory data analysis activities - but are evaluated on three particular tasks using gene expression data: identifying discriminatory genes, visualising diagnostic classes, and detecting misdiagnosed samples. It is found to perform well in comparison with standard techniques.
A multicenter phase III prospective randomized trial of high-dose epirubicin in combination with cyclophosphamide (EC) versus docetaxel followed by EC in node-positive breast cancer. GOIM (Gruppo Oncologico Italia Meridionale) 9902 study.

BACKGROUND The Gruppo Oncologico Italia Meridionale 9902 trial compared four cycles of high-dose epirubicin plus cyclophosphamide (EC) with four cycles of docetaxel (Taxotere, D) followed by four cycles of EC as adjuvant treatment of node-positive breast cancer. PATIENTS AND METHODS Patients were randomly assigned to EC (E 120 mg/m(2), C 600 mg/m(2), arm A) for four cycles or four cycles of D (100 mg/m(2)) followed by four cycles of EC (arm B), both regimens every 21 days. Hormone receptor-positive patients were given hormonal therapy for 5 years. Primary end point was 5-year disease-free survival (DFS). Secondary objectives were overall survival (OS) and safety. RESULTS There were 750 patients enrolled. With a median follow-up of 64 months, 5-year DFS was 73.4% in both arms, and 5-year OS was 89.5% versus 90.7% in arm A and B [hazard ratio was 0.99 (95% confidence interval for DFS 0.75-1.31; P = 0.95)], respectively. Grade 3-4 toxicity was more common in arm B. CONCLUSIONS This study did not show advantages from the addition of docetaxel to high-dose EC as adjuvant chemotherapy in node-positive breast cancer. The small sample size and low number of DFS events may have limited the ability to observe statistically significant difference between the two arms.
Modeling ad hoc sensor networks using random graph theory

Modeling of ad hoc sensor networks becomes difficult when uncertain features of the network increase. Deterministic modeling is difficult and some stochastic arguments should be introduced instead. In this paper, we introduce the concept of random networks. One remarkable feature of random graphs is that a phase transition occurs as the probability of edge connection increases. At the critical probability, fragmented pieces of edges suddenly start to be mutually connected, forming one large component. This graph-theoretical change parallels phase transitions in states of mutter, e.g. the jump from water to ice. In ad hoc sensor networks, the nodes are connected by wireless links. In order to meet this requirement, we propose a model using percolation, a kind of random graph where the edges are formed only between the nearby nodes. We also present some numerical examples to simulate the jump effects of the phase transition.
Archetypal-Imaging and Mirror-Gazing

Mirrors have been studied by cognitive psychology in order to understand self-recognition, self-identity, and self-consciousness. Moreover, the relevance of mirrors in spirituality, magic and arts may also suggest that mirrors can be symbols of unconscious contents. Carl G. Jung investigated mirrors in relation to the unconscious, particularly in Psychology and Alchemy. However, the relationship between the conscious behavior in front of a mirror and the unconscious meaning of mirrors has not been clarified. Recently, empirical research found that gazing at one’s own face in the mirror for a few minutes, at a low illumination level, produces the perception of bodily dysmorphic illusions of strange-faces. Healthy observers usually describe huge distortions of their own faces, monstrous beings, prototypical faces, faces of relatives and deceased, and faces of animals. In the psychiatric population, some schizophrenics show a dramatic increase of strange-face illusions. They can also describe the perception of multiple-others that fill the mirror surface surrounding their strange-face. Schizophrenics are usually convinced that strange-face illusions are truly real and identify themselves with strange-face illusions, diversely from healthy individuals who never identify with them. On the contrary, most patients with major depression do not perceive strange-face illusions, or they perceive very faint changes of their immobile faces in the mirror, like death statues. Strange-face illusions may be the psychodynamic projection of the subject’s unconscious archetypal contents into the mirror image. Therefore, strange-face illusions might provide both an ecological setting and an experimental technique for “imaging of the unconscious”. Future researches have been proposed.
Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data

Topography affects forest canopy height retrieval based on airborne Light Detection and Ranging (LiDAR) data a lot. This paper proposes a method for correcting deviations caused by topography based on individual tree crown segmentation. The point cloud of an individual tree was extracted according to crown boundaries of isolated individual trees from digital orthophoto maps (DOMs). Normalized canopy height was calculated by subtracting the elevation of centres of gravity from the elevation of point cloud. First, individual tree crown boundaries are obtained by carrying out segmentation on the DOM. Second, point clouds of the individual trees are extracted based on the boundaries. Third, precise DEM is derived from the point cloud which is classified by a multi-scale curvature classification algorithm. Finally, a height weighted correction method is applied to correct the topological effects. The method is applied to LiDAR data acquired in South China, and its effectiveness is tested using 41 field survey plots. The results show that the terrain impacts the canopy height of individual trees in that the downslope side of the tree trunk is elevated and the upslope side is depressed. This further affects the extraction of the location and crown of individual trees. A strong correlation was detected between the slope gradient and the proportions of returns with height differences more than 0.3, 0.5 and 0.8 m in the total returns, with coefficient of determination R2 of 0.83, 0.76, and 0.60 (n = 41), respectively.
Characteristics of internet background radiation

Monitoring any portion of the Internet address space reveals incessant activity. This holds even when monitoring traffic sent to unused addresses, which we term "background radiation. " Background radiation reflects fundamentally nonproductive traffic, either malicious (flooding backscatter, scans for vulnerabilities, worms) or benign (misconfigurations). While the general presence of background radiation is well known to the network operator community, its nature has yet to be broadly characterized. We develop such a characterization based on data collected from four unused networks in the Internet. Two key elements of our methodology are <i>(i)</i> the use of <i>filtering</i> to reduce load on the measurement system, and <i>(ii)</i> the use of <i>active responders</i> to elicit further activity from scanners in order to differentiate different types of background radiation. We break down the components of background radiation by protocol, application, and often specific exploit; analyze temporal patterns and correlated activity; and assess variations across different networks and over time. While we find a menagerie of activity, probes from worms and autorooters heavily dominate. We conclude with considerations of how to incorporate our characterizations into monitoring and detection activities.
Guiding locomotion in complex, dynamic environments

Locomotion in complex, dynamic environments is an integral part of many daily activities, including walking in crowded spaces, driving on busy roadways, and playing sports. Many of the tasks that humans perform in such environments involve interactions with moving objects—that is, they require people to coordinate their own movement with the movements of other objects. A widely adopted framework for research on the detection, avoidance, and interception of moving objects is the bearing angle model, according to which observers move so as to keep the bearing angle of the object constant for interception and varying for obstacle avoidance. The bearing angle model offers a simple, parsimonious account of visual control but has several significant limitations and does not easily scale up to more complex tasks. In this paper, I introduce an alternative account of how humans choose actions and guide locomotion in the presence of moving objects. I show how the new approach addresses the limitations of the bearing angle model and accounts for a variety of behaviors involving moving objects, including (1) choosing whether to pass in front of or behind a moving obstacle, (2) perceiving whether a gap between a pair of moving obstacles is passable, (3) avoiding a collision while passing through single or multiple lanes of traffic, (4) coordinating speed and direction of locomotion during interception, (5) simultaneously intercepting a moving target while avoiding a stationary or moving obstacle, and (6) knowing whether to abandon the chase of a moving target. I also summarize data from recent studies that support the new approach.
Food Liking Enhances the Plasma Response of 2-Arachidonoylglycerol and of Pancreatic Polypeptide upon Modified Sham Feeding in Humans.

BACKGROUND Food palatability increases food intake and may lead to overeating. The mechanisms behind this observation are still largely unknown. OBJECTIVES The aims of this study were the following: 1) to elucidate the plasma responses of endocannabinoids, N-acylethanolamines, and gastrointestinal peptides to a palatable (sweet), unpalatable (bitter), and sensory-acceptable (tasteless control) food, and 2) to verify whether some of these bioactive compounds can serve as plasma biomarkers of food liking in humans. METHODS Three puddings providing 60 kcal (35% from proteins, 62% from carbohydrates, and 3% from fats) but with different taste were developed. Twenty healthy subjects (11 women and 9 men; mean age 28 y and BMI 22.7 kg/m(2)), selected because they liked the puddings in the order sweet > control > bitter, participated in a randomized crossover study based on a modified sham feeding (MSF) protocol. Blood samples at baseline and every 5 min up to 20 min after the MSF were analyzed for gastrointestinal peptides, endocannabinoids, and N-acylethanolamines. Thirty minutes after the MSF, energy intake at an ad libitum breakfast was measured. RESULTS After the MSF, no response was observed in 7 of 9 gastrointestinal peptides measured. The plasma ghrelin concentration at 20 min after the sweet and bitter puddings was 25% lower than after the control pudding (P = 0.04), and the pancreatic polypeptide response after the sweet pudding was 23% greater than after the bitter pudding (P = 0.02). The plasma response of 2-arachidonoylglycerol after the sweet pudding was 37% and 15% higher than after the bitter (P < 0.001) and control (P = 0.03) puddings, respectively. Trends for greater responses of anandamide (P = 0.06), linoleoylethanolamide (P = 0.07), palmitoylethanolamide (P = 0.06), and oleoylethanolamide (P = 0.09) were found after the sweet pudding than after the bitter pudding. No differences in subsequent energy intake were recorded. CONCLUSIONS The data demonstrated that food palatability influenced some plasma endocannabinoid and N-acylethanolamine concentrations during the cephalic phase response and indicated that 2-arachidonoylglycerol and pancreatic polypeptide can be used as biomarkers of food liking in humans.
Extracellular Isoforms of CD6 Generated by Alternative Splicing Regulate Targeting of CD6 to the Immunological Synapse1

The great majority of mammalian genes yield multiple transcripts arising from differential mRNA processing, but in very few instances have alternative forms been assigned distinct functional properties. We have cloned and characterized a new isoform of the accessory molecule CD6 that lacks the CD166 binding domain and is expressed in rat and human primary cells. The novel isoform, CD6Δd3, results from exon 5 skipping and consequently lacks the third scavenger receptor cysteine-rich (SRCR) domain of CD6. Differential expression of the SRCR domain 3 resulted in a remarkable functional difference: whereas full-length CD6 targeted to the immunological synapse, CD6Δd3 was unable to localize at the T cell:APC interface during Ag presentation. Analysis of expression of CD6 variants showed that, while being more frequent in coexpression with full-length CD6, the CD6Δd3 isoform constituted the sole species in a small percentage of T cells. In the rat thymus, CD6Δd3 is less represented in double-positive thymocytes but is detectable in nearly 50% of single-positive CD4 or CD8 thymocytes, suggesting that CD6 switching between full-length and Δd3 isoforms may be involved in thymic selection. Strikingly, CD6Δd3 is markedly up-regulated upon activation of T lymphocytes, partially substituting full-length CD6, as evaluated by RT-PCR analysis at the single-cell level, by immunoblotting, and by flow cytometry using Abs recognizing SRCR domains 1 and 3 of human CD6. This elegant mechanism controlling the expression of the CD166 binding domain may help regulate signaling delivered by CD6, through different types of extracellular engagement.