Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Reflectance Confocal Microscopy of Melanocytic Skin Lesions through Histopathologic Transversal Sections

Histopathologic interpretation of dermoscopic and reflectance confocal microscopy (RCM) features of cutaneous melanoma was timidly carried out using perpendicular histologic sections, which does not mimic the same plane of the image achieved at both techniques (horizontal plane). The aim of this study was to describe the transverse histologic sections research technique and correlate main dermoscopic features characteristic of cutaneous melanoma (atypical network, irregular globules and pseudopods) with RCM and histopathology in perpendicular and transverse sections in order to offer a more precise interpretation of in vivo detectable features. Four melanomas and 2 nevi with different dermoscopic clues have been studied. Lesion areas that showed characteristic dermoscopic features were imaged by dermoscopy and confocal microscopy and directly correlated with histopathology in perpendicular and transverse sections. We presented the possibility to perform transverse sections as a new approach to understand RCM features. Atypical network showed different aspects in the 2 melanomas: in one case it was characterized by pleomorphic malignant melanocytes with tendency to form aggregates, whereas in the other elongated dendritic cells crowded around dermal papillae, some of them forming bridges that resembled the mitochondrial aspect at confocal and histopathology transversal sections. Pigment globules in melanomas and nevi differed for the presence of large atypical cells in the former, and pseudopods showed up as elongated nests protruded toward the periphery of the lesion. Transverse histologic research sections have a consistent dermoscopic and confocal correlate, and it may represent an help in confocal feature interpretation and an advance in improving melanoma diagnosis and knowledge of the biology of melanocytic lesions.
Latent class comparison of test accuracy when evaluating antimicrobial susceptibility using disk diffusion and broth microdilution to test Escherichia coli and Mannheimia haemolytica isolates recovered from beef feedlot cattle

SUMMARY The study objective was to use Bayesian latent class analysis to evaluate the accuracy of susceptibility test results obtained from disk diffusion and broth microdilution using bacteria recovered from beef feedlot cattle. Isolates of Escherichia coli and Mannheimia haemolytica were tested for susceptibility to ampicillin, ceftiofur, streptomycin, sulfisoxazole, tetracycline, and trimethoprim-sulfamethoxazole. Results showed that neither testing method was always or even generally superior to the other. Specificity (ability to correctly classify non-resistant isolates) was extremely high for both testing methods, but sensitivity (ability to correctly classify resistant isolates) was lower, variable in the drugs evaluated, and variable between the two bacterial species. Predictive values estimated using Bayesian Markov chain Monte Carlo models showed that the ability to predict true susceptibility status was equivalent for test results obtained with the two testing methods for some drugs, but for others there were marked differences between results obtained from disk diffusion and broth microdilution tests.
Relationship of perception of radon as a health risk and willingness to engage in radon testing and mitigation.

PURPOSE/OBJECTIVES To gather data on radon levels and determine correlations among subjects' characteristics, willingness to test for radon, and perceptions of radon as a health risk. DESIGN Descriptive correlational. SETTING Rural DeKalb County in northern Illinois. SAMPLE 473 respondents from a group of 1,620 randomly selected county residences. METHODS Participants were surveyed via telephone using the Community Radon Program questionnaire. Radon measurements were taken with home radon test kits. MAIN RESEARCH VARIABLES Gender, income, age, educational level, smoking status, race, home ownership, willingness to test for radon, and radon risk perception. FINDINGS Most participants were familiar with radon but did not view it as an immediate health hazard and would not have screened for radon on their own. 88% of the radon measurements exceeded the U.S. Environmental Protection Agency's moderate risk potential level, and 53% exceeded the action level (i.e., 4 pCi/L). CONCLUSIONS Perception of radon as a health risk was correlated positively with planning to conduct further radon testing and to employ radon mitigation methods. More research is needed on people's willingness to obtain radon emission levels and the cancer rates in areas that have high potential for radon. IMPLICATIONS FOR NURSING According to the environmental literature, the effect of household radon emissions on the development of lung cancer is as great a health risk as secondhand smoke. Virtually no nursing literature on the subject has been published. As the primary source of health information in many rural counties, nurses, especially public health nurses, are at the forefront in public health educational efforts. Nurses are the most likely healthcare professionals to enter patients' homes and can play a significant role in disseminating information about radon as a potential carcinogen.
How and Why Theories Matter: A Comment on Felin and Foss (2009)

Theories matter because they affect behavior and can, under certain circumstances, become self-fulfilling. For a theory to become self-fulfilling, people must be aware of the theory and have the ability to make choices according to its dictates, social and physical arrangements are altered on the basis of the theory's prescriptions, and the proponents have the power to implement social arrangements consistent with the theory. Economics and other social science theories often fulfill these conditions, with implications not only for the work of scholars, but also for how we think about testing theories that can change the world they describe.
Advance Care Planning by Unmarried Women of Different Sexual Orientations: The Importance of Social Support

We examined social support as a facilitator of advance care planning in unmarried women of different sexual orientations. Survey participants consisted of 215 women, 90 who reported a preference for partnering with women (WPW) and 125 for partnering with men (WPM). Our findings indicate that the association between social support and advance care planning was mixed. Specifically, social support had no significant impact on executing a will for either WPW or WPM. Among WPW, naming a health-care proxy was associated with reporting a partner who provided social support. For WPM, having a partner for social support was not associated with naming a health-care proxy. These insights help in the understanding of women's advance care planning.
Where am I and who am I?: issues in collaborative technical help

In a study of collaborative help-giving within several organizations settings, we identified two forms of trouble and bewilderment that we explore further in this paper. In one case, the user is confused about where they, their files, or other resources are within a larger technical infrastructure (Where am I? ). In the second case, the user isn't sure which login is needed and which actions are allowed (Who am I? ). We believe that these issues carry important implications for the design of interfaces that can explicitly support repair and problem-solving, and that they are essential to consider in the development of CSCW and ubiquitous computing applications.
Why Do Aggregate Earnings Shocks Predict Future Inflation Shocks

Prior studies document that aggregate earnings news is related to news about future inflation. We propose two alternative explanations for this relation - one based on firm’s changing their investments in response to profitability shocks and the other based on consumers varying their consumption in response to higher disposable income or greater wealth arising from increased profitability of listed firms. Since supply of goods and services is relatively inelastic in the short-run, our arguments imply that shocks to demand for investments (consumption) will affect prices of investment (consumption) goods and services. Consistent with aggregate earnings news affecting business investments, we find that profitability shocks predict investment shocks in subsequent quarters as well as shocks to Producer Price Index, which primarily tracks prices of production-related goods. We find no evidence that aggregate earnings surprises contain information about future consumption shocks or shocks to prices of consumption goods (Consumer Price Index). Our analyses also reveal aggregate earnings surprises predict future investment and PPI forecast-errors and that this forecasting inefficiency explains previously documented inefficiencies in GDP growth forecasts.
Determination of 6D Workspaces of Gough-Type Parallel Manipulator and Comparison between Different Geometries

We consider in this paper a Gough-type parallel robot whose leg length values are constrained to lie within some fixed ranges and for which there may be mechanical limits for the motion of the passive joints. The purpose of this paper is to present algorithms to determine: • the constant orientation workspace: all the possible locations of the center of the platform that can be reached with a fixed orientation • thetotal orientation workspace: all the possible locations of the center of the platform that can be reached with any orientation in a set defined by three ranges for the orientation angles (the dextrous workspace is an example of total orientation workspace case, the three ranges being T [0,360] degree1) • the inclusive orientationworkspace: all the possible locations of the center of the platform that can be reached with at least one orientation among a set defined by three ranges for the orientation angles (the maximal or reachableworkspace is an example of inclusive orientation workspace, the three ranges being [0,360]) Most of these algorithms are based on a basic method: approximation of the result by a set of 3D or 6D boxes obtained from an initial estimation through a bisection process. The boxes in the result will either fully or partially lie inside the workspace: the bisection stops as soon as all the boxes that do not lie fully inside the workspace have a size that is lower than a fixed threshold. A companion algorithm enables to verification that any 6D workspace (i.e., a continuous set of poses) lies within the reachable workspace of the robot. The paper includes a comparison between the workspace volumes of four different robot geometries, which shows that for robots of similar dimensions the joints layout has a large influence on the workspace volume.
Benign Myoclonic Epilepsy in Infancy (BMEI): A Longitudinal Electroclinical Study of 22 Cases

Summary: Purpose: Benign myoclonic epilepsy in infancy (BMEI) is a nosologically well‐defined entity, characterized by myoclonic seizures (MS) in normal children younger than 3 years and by a good long term prognosis. In some cases the seizures are reflex. We studied 22 cases to better define the electroclinical semeiology and evolution of the disorder.
Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data

Histopathologic grading of astrocytic tumors based on current WHO criteria offers a valuable but simplified representation of oncologic reality and is often insufficient to predict clinical outcome. In this study, we report a new astrocytic tumor microarray gene expression data set (n = 65). We have used a simple artificial neural network algorithm to address grading of human astrocytic tumors, derive specific transcriptional signatures from histopathologic subtypes of astrocytic tumors, and asses whether these molecular signatures define survival prognostic subclasses. Fifty-nine classifier genes were identified and found to fall within three distinct functional classes, that is, angiogenesis, cell differentiation, and lower-grade astrocytic tumor discrimination. These gene classes were found to characterize three molecular tumor subtypes denoted ANGIO, INTER, and LOWER. Grading of samples using these subtypes agreed with prior histopathologic grading for both our data set (96.15%) and an independent data set. Six tumors were particularly challenging to diagnose histopathologically. We present an artificial neural network grading for these samples and offer an evidence-based interpretation of grading results using clinical metadata to substantiate findings. The prognostic value of the three identified tumor subtypes was found to outperform histopathologic grading as well as tumor subtypes reported in other studies, indicating a high survival prognostic potential for the 59 gene classifiers. Finally, 11 gene classifiers that differentiate between primary and secondary glioblastomas were also identified. [Mol Cancer Ther 2008;7(5):1013–24]
Novel Gyrase Mutations in Quinolone-Resistant and -Hypersusceptible Clinical Isolates of Mycobacterium tuberculosis: Functional Analysis of Mutant Enzymes

ABSTRACT Mutations in the DNA gyrase GyrA2GyrB2 complex are associated with resistance to quinolones in Mycobacterium tuberculosis. As fluoroquinolones are being used increasingly in the treatment of tuberculosis, we characterized several multidrug-resistant clinical isolates of M. tuberculosis carrying mutations in the genes encoding the GyrA or GyrB subunits associated with quinolone resistance or hypersusceptibility. In addition to the reported putative quinolone resistance mutations in GyrA, i.e., A90V, D94G, and D94H, we found that the GyrB N510D mutation was also associated with ofloxacin resistance. Surprisingly, several isolates bearing a novel combination of gyrA T80A and A90G changes were hypersusceptible to ofloxacin. M. tuberculosis GyrA and GyrB subunits (wild type [WT] and mutants) were overexpressed in Escherichia coli, purified to homogeneity, and used to reconstitute highly active gyrase complexes. Mutant proteins were produced similarly from engineered gyrA and gyrB alleles by mutagenesis. MICs, enzyme inhibition, and drug-induced DNA cleavage were determined for moxifloxacin, gatifloxacin, ofloxacin, levofloxacin, and enoxacin. Mutant gyrase complexes bearing GyrA A90V, D94G, and D94H and GyrB N510D were resistant to quinolone inhibition (MICs and 50% inhibitory concentrations [IC50s] at least 3.5-fold higher than the concentrations for the WT), and all, except the GyrB mutant, were less efficiently trapped as a quinolone cleavage complex. In marked contrast, gyrase complexes bearing GyrA T80A or A90G were hypersusceptible to the action of many quinolones, an effect that was reinforced for complexes bearing both mutations (MICs and IC50s up to 14-fold lower than the values for the WT). This is the first detailed enzymatic analysis of hypersusceptibility and resistance in M. tuberculosis.
Purification and characterization of keratinase from a new Bacillus subtilis strain

The aim of this study was to purify and characterize a keratinase produced by a new isolated Bacillus subtilis KD-N2 strain. The keratinase produced by the isolate was purified using ammonium sulphate precipitation, Sephadex G-75 and DEAE (diethylaminoethyl)-Sepharose chromatographic techniques. The purified enzyme was shown to have a molecular mass of 30.5 kDa, as determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis. The optimum pH at 50 °C was 8.5 and the optimum temperature at pH 8.5 was 55 °C. The keratinase was partially inactivated by some metal ions, organic solvents and serine protease inhibitor phenylmethanesulfonyl fluoride (PMSF). Sodium dodecyl sulfate (SDS) and ethylene diamine tetraacetic acid (EDTA) had positive effect on the keratinase activity. Reducing agents including dithiothreitol (DTT), mercaptoethanol, L-cysteine, sodium sulphite, as well as chemicals of SDS, ammonium sulfamate and dimethylsulfoxide (DMSO) stimulated the enzyme activity upon a feather meal substrate. Besides feather keratin, the enzyme is active upon the soluble proteins ovalbumin, bovine serum albumin (BSA), casein and insoluble ones as sheep wool and human hair. Calf hair, silk and collagen could not be hydrolyzed by the keratinase.
Screening of β-thalassemia trait and other hemoglobinopathies among blood donors in Punjab

Introduction: Hemoglobinopathies are common genetic disorders of hemoglobin, which can be prevented by population screening and offering genetic counseling. The cumulative gene frequency of hemoglobinopathies in India is 4.2%. The carrier state for β-thalassemia in India varies from 1% to 17% with an average of 3.2%. The present study was undertaken to find out the burden of hemoglobinopathies and spectrum of this disorders among the blood donors. Materials and Methods: The study includes 975 students between 18 and 25 years who donated blood, were screened for β-thalassemia trait and related hemoglobinopathies by high-performance liquid chromatography (HPLC) using Bio-Rad variant. Samples were also run on a hemato analyzer for red cell indices and peripheral smear for red cell morphology. Results: A total of 41 donors showed abnormal hemoglobin fractions in HPLC. Out of these, 32 (3.3%) were diagnosed with β-thalassemia trait, 8 (0.8%) with Hb-D Punjab and 1 (0.1%) with Hb-S trait. The frequency of β-thalassemia trait in the student from different geographical regions varied from 0.8% to 4.44%, being the highest in those from Punjab and frequency of β-thalassemia trait in different caste groups varied from 0 to 4.74%, being the highest in the student from Jatt Sikh community. Conclusions: A universal approach of screening for β-thalassemia trait should be included as a part of standard blood testing among the college students, premarital and of the extended family of thalassemics. Population group with high gene frequencies requires screening programs as well as increased awareness and education program to control the birth of thalassemia major.
Rendezvous design algorithms for wireless sensor networks with a mobile base station

Recent research shows that significant energy saving can be achieved in wireless sensor networks with a mobile base station that collects data from sensor nodes via short-range communications. However, a major performance bottleneck of such WSNs is the significantly increased latency in data collection due to the low movement speed of mobile base stations. To address this issue, we propose a rendezvous-based data collection approach in which a subset of nodes serve as the rendezvous points that buffer and aggregate data originated from sources and transfer to the base station when it arrives. This approach combines the advantages of controlled mobility and in-network data caching and can achieve a desirable balance between network energy saving and data collection delay. We propose two efficient rendezvous design algorithms with provable performance bounds for mobile base stations with variable and fixed tracks, respectively. The effectiveness of our approach is validated through both theoretical analysis and extensive simulations.
Sharing and selling of prescription medications in a college student sample.

OBJECTIVE To estimate the prevalence of prescription medication diversion among college students; to compare classes of medications with respect to the likelihood of diversion; to document the most common methods of diversion; and to examine the characteristics of students who diverted medications. METHOD A cross-sectional analysis of personal interview data collected between August 2006 and August 2007 as part of an ongoing longitudinal study. The cohort of students, who were between the ages of 17 and 19 years at study onset, attended a large public university in the mid-Atlantic region. Information was gathered regarding a wide variety of variables, including demographics, diversion of medically prescribed drugs, illicit drug use, and childhood conduct problems. RESULTS Among 483 students prescribed a medication, 35.8% diverted a medication at least once in their lifetime. The most commonly diverted medication classes were prescription attention-deficit/hyperactivity disorder medication (61.7% diversion rate) and prescription analgesics (35.1% diversion rate). Sharing was the most common method of diversion, with 33.6% of students sharing their medication(s) and 9.3% selling in their lifetime. Comparative analyses revealed that prescription medication diverters had used more illicit drugs in the past year and had more childhood conduct problems than nondiverters. CONCLUSION If confirmed, these findings have important clinical implications for improved physician-patient communication and vigilance regarding prescribing analgesic and stimulant medications for young adults.
Incorporating Amino Acids Composition and Functional Domains for Identifying Bacterial Toxin Proteins

Aside from pathogenesis, bacterial toxins also have been used for medical purpose such as drugs for cancer and immune diseases. Correctly identifying bacterial toxins and their types (endotoxins and exotoxins) has great impact on the cell biology study and therapy development. However, experimental methods for bacterial toxins identification are time-consuming and labor-intensive, implying an urgent need for computational prediction. Thus, we are motivated to develop a method for computational identification of bacterial toxins based on amino acid sequences and functional domain information. In this study, a nonredundant dataset of 167 bacterial toxins including 77 exotoxins and 90 endotoxins is adopted to learn the predictive model by using support vector machines (SVMs). The cross-validation evaluation shows that the SVM models trained with amino acids and dipeptides composition could yield an accuracy of 96.07% and 92.50%, respectively. For discriminating endotoxins from exotoxins, the SVM models trained with amino acids and dipeptides composition have achieved an accuracy of 95.71% and 92.86%, respectively. After incorporating functional domain information, the predictive performance is further improved. The proposed method has been demonstrated to be able to more effectively identify and classify bacterial toxins than the other two features on independent dataset, which may aid in bacterial biomedical development.
Neurotoxic and Molecular Effects of Methylmercury in Humans

Mercurials are global environmental pollutants deriving from natural processes and anthropogenic activities. Most human exposure to mercury occurs through the intake of fish, shellfish, and sea mammals contaminated with methylmercury. Methylmercury is bioaccumulated and biomagnified in the aquatic food chain and reaches its highest levels in top predatory fish. The neurotoxic hazard posed by methylmercury to humans and the unique susceptibility of the developing brain have been well documented following the mass poisonings occurring in Japan and Iraq. Adult cases of methylmercury poisoning are characterized by the delayed onset of symptoms and by the focal degeneration of neurons in selected brain regions (for example, cerebral cortex and cerebellum). Why the fetus displays different neuropathological effects and a higher sensitivity to methylmercury relative to the adult is still unknown. Depending on the degree of in utero exposure, methylmercury may result in effects ranging from fetal death to subtle neurodevelopmental delays. On the basis of epidemiological studies performed in populations having moderate chronic methylmercury exposure, no definitive consensus has been reached to date on the safety level of maternal exposure during pregnancy. Among the multiple mechanisms believed to contribute to methylmercury neurotoxicity, methylmercury-induced microtubule alterations, oxidative damage, impairment of calcium homeostasis, and the potentiation of glutamatergic neurotransmission are presented in this review.