Miracle-dz/UniFAR-FTUs huggingface dataset:
Reproducibility and validity of a handheld spirometer.

BACKGROUND Handheld spirometers have several advantages over desktop spirometers, but worries persist regarding reproducibility and validity of data from handheld spirometers. We undertook an independent examination of the EasyOne handheld spirometer. METHODS The laboratory testing included reproducibility and validity testing with a waveform generator. We used standard American Thoracic Society waveforms for in-line testing, calibration adaptor testing, and testing during compression of the mouthpiece. The clinical testing involved repeated tests with 24 spirometry-naïve volunteers and comparison to spirometry results from laboratory (volume-sensing dry rolling seal) spirometer. RESULTS The EasyOne exceeded standard thresholds for acceptability with the American Thoracic Society waveforms. In-line testing yielded valid results from the EasyOne. Between the EasyOne and the reference spirometer readings the mean +/- SD difference was 0.03 +/- 0.23 L for forced vital capacity (FVC) and -0.06 +/- 0.09 L for forced expiratory volume in the first second (FEV(1)). The calibration adaptor showed no appreciable problems. Extreme compression of the mouthpiece reduced the measured values. In clinical testing the coefficients of variation and limits of agreement were, respectively, 3.3% and 0.24 L for FVC, 2.6% and 0.18 L for FEV(1), and 1.9% and 0.05 for the FEV(1)/FVC ratio. The EasyOne readings were lower than those from the reference spirometer; the differences were: -0.12 L for FVC, -0.17 L for FEV(1), and -0.02 for FEV(1)/FVC. The limits of agreement were within criteria for FVC but not for the FEV(1), possibly due to a training effect. CONCLUSION The EasyOne spirometer yielded generally reproducible results that were generally valid, compared to the values from the laboratory spirometer. The use of the EasyOne in clinical, occupational, and research settings seems justified.
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models

Many computational models of the basal ganglia (BG) have been proposed over the past twenty-five years. While computational neuroscience models have focused on closely matching the neurobiology of the BG, computational cognitive neuroscience (CCN) models have focused on how the BG can be used to implement cognitive and motor functions. This review article focuses on CCN models of the BG and how they use the neuroanatomy of the BG to account for cognitive and motor functions such as categorization, instrumental conditioning, probabilistic learning, working memory, sequence learning, automaticity, reaching, handwriting, and eye saccades. A total of 19 BG models accounting for one or more of these functions are reviewed and compared. The review concludes with a discussion of the limitations of existing CCN models of the BG and prescriptions for future modeling, including the need for computational models of the BG that can simultaneously account for cognitive and motor functions, and the need for a more complete specification of the role of the BG in behavioral functions.
The Effects of Competency on Job Satisfaction for Professional Counselors When Providing Court Testimony

The Effects of Competency on Job Satisfaction for Professional Counselors When Providing Court Testimony by Joshua D. Francis M.Ed. Xavier University, 1997 B.S. Xavier University, 1995 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Counselor Education and Supervision Walden University May 2015
Genetic Alterations and Aberrant Expression of Genes Related to the Phosphatidyl‐lnositol‐3′‐Kinase/Protein Kinase B (Akt) Signal Transduction Pathway in Glioblastomas

Glioblastomas frequently carry mutations in the PTEN tumor suppressor gene on 10q23.3. The tumor suppressor properties of Pten are closely related to its inhibitory effect on the phosphatidyl‐inositol‐3’‐kinase (Pi3k)‐dependent activation of protein kinase B (Akt) signalling. Here, we report on the analysis of 17 genes related to the Pi3k/Akt signalling pathway for genetic alteration and aberrant expression in a series of 103 glioblastomas. Mutation, homozygous deletion or loss of expression of PTEN was detected in 32% of the tumors. In contrast, we did not find any aberrations in the inositol polyphosphate phosphatase like‐1 gene (INPPL1), whose gene product may also counteract Pi3k‐dependent Akt activation. Analysis of genes encoding proteins that may activate the pathway upstream of Pi3k revealed variable fractions of tumors with EGFR amplification (31%), PDGFRA amplification (8%), and IRS2 amplification (2%). The protein tyrosine kinase 2 (PTK2/FAK1) gene was neither amplified nor over‐expressed at the mRNA level. Investigation of three genes encoding catalytic subunits of Pi3k (PIK3CA, PIK3CD, and PIK3C2B) revealed amplification of PIK3C2B (1q32) in 6 tumors (6%). Overexpression of PIK3C2B mRNA was detected in 4 of these cases. PIK3CD (1p36.2) and PIK3CA (3q26.3) were not amplified but PIK3CD mRNA was overexpressed in 6 tumors (6%). Amplification and overexpression of AKT1 was detected in a single case of gliosarcoma. The IRS1, PIK3R1, PIK3R2, AKT2, AKT3, FRAP1, and RPS6KB1 genes were neither amplified nor overexpressed in any of the tumors. Taken together, our data indicate that different genes related to the Pi3k/Akt signalling pathway may be aberrant in glioblastomas.
Endothelial Dysfunction in Experimental Atherosclerosis in the Rabbit with Extraction of Instantaneous Changes in the Arterial Wall

Background: In this study, we used a new computerized analytical method for the measurement of the endothelial function in sequential ultrasound images and compared it with histological studies, using the abdominal aorta in normal and atherosclerotic rabbits. Methods: Six rabbits received a standard rabbit chow as the normal group and the other 6 rabbits were fed a high cholesterol diet for four weeks as the atherosclerotic group. B-mode images of the abdominal aorta with 46 frames per second were saved over three cardiac cycles at baseline and during acetylcholine or nitroglycerin drug infusion in the normal and atherosclerotic rabbits. In order to evaluate endothelial-dependent relaxation, acetylcholine-mediated dilation (AMD) was measured during the infusion of acetylcholine at a rate of 0.5 μg/kg/min and endothelial-independent relaxation was evaluated by measuring nitroglycerine-mediated dilation (NMD) during the infusion of nitroglycerin at a rate of 5 μg/kg/min. In addition, the ultrasonic evaluation was confirmed by histopathological evaluation of the abdominal aorta. Results: Significant differences in AMD were detected between the normal and the four-week cholesterol-fed rabbits (p value<0.05), whereas there were no significant differences in NMD between the two groups (p value>0.05). No microscopic intimal lesions were seen in the normal rabbits, but intimal thickening was observed in the histological studies in the four-week cholesterol-fed rabbits. Additionally, the total cholesterol, triglycerides, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol levels were remarkably increased in the sera of the four-week cholesterol-fed rabbits(p value<0.05). Conclusion: A new automatic method can help accurately evaluate the endothelial function in normal and hypercholesterolemic rabbits.
The Plasma Membrane Potential and the Organization of the Actin Cytoskeleton of Epithelial Cells

The establishment and maintenance of the polarized epithelial phenotype require a characteristic organization of the cytoskeletal components. There are many cellular effectors involved in the regulation of the cytoskeleton of epithelial cells. Recently, modifications in the plasma membrane potential (PMP) have been suggested to participate in the modulation of the cytoskeletal organization of epithelia. Here, we review evidence showing that changes in the PMP of diverse epithelial cells promote characteristic modifications in the cytoskeletal organization, with a focus on the actin cytoskeleton. The molecular paths mediating these effects may include voltage-sensitive integral membrane proteins and/or peripheral proteins sensitive to surface potentials. The voltage dependence of the cytoskeletal organization seems to have implications in several physiological processes, including epithelial wound healing and apoptosis.
Performance analysis of selective decode-and-forward multinode incremental relaying with maximal ratio combining

In this paper, we propose an incremental multinode relaying protocol with arbitrary N-relay nodes that allows an efficient use of the channel spectrum. The destination combines the received signals from the source and the relays using maximal ratio combining (MRC). The transmission ends successfully once the accumulated signal-to-noise ratio (SNR) exceeds a predefined threshold. The number of relays participating in the transmission is adapted to the channel conditions based on the feedback from the destination. The use of incremental relaying allows obtaining a higher spectral efficiency. Moreover, the symbol error probability (SEP) performance is enhanced by using MRC at the relays. The use of MRC at the relays implies that each relay overhears the signals from the source and all previous relays and combines them using MRC. The proposed protocol differs from most of existing relaying protocol by the fact that it combines both incremental relaying and MRC at the relays for a multinode topology. Our analyses for a decode-and-forward mode show that: (i) compared to existing multinode relaying schemes, the proposed scheme can essentially achieve the same SEP performance but with less average number of time slots, (ii) compared to schemes without MRC at the relays, the proposed scheme can approximately achieve a 3 dB gain.
The role of protein quality control in mitochondrial protein homeostasis under oxidative stress

Mitochondria contribute significantly to the cellular production of ROS. The deleterious effects of increased ROS levels have been implicated in a wide variety of pathological reactions. Apart from a direct detoxification of ROS molecules, protein quality control mechanisms are thought to protect protein functions in the presence of elevated ROS levels. The reactivities of molecular chaperones and proteases remove damaged polypeptides, maintaining enzyme activities, thereby contributing to cellular survival both under normal and stress conditions. We characterized the impact of oxidative stress on mitochondrial protein homeostasis by performing a proteomic analysis of isolated yeast mitochondria, determining the changes in protein abundance after ROS treatments. We identified a set of mitochondrial proteins as substrates of ROS‐dependent proteolysis. Enzymes containing oxidation‐sensitive prosthetic groups like iron/sulfur clusters represented major targets of stress‐dependent degradation. We found that several proteins involved in ROS detoxification were also affected. We identified the ATP‐dependent protease Pim1/LON as a major factor in the degradation of ROS‐modified soluble polypeptides localized in the matrix compartment. As Pim1/LON expression was induced significantly under ROS treatment, we propose that this protease system performs a crucial protective function under oxidative stress conditions.
Keeping Their World Together-Meanings and Actions Created Through Network-Focused Nursing in Teenager and Young Adult Cancer Care

In the transition between dependent childhood and independent young adulthood, teenagers and young adults (TYAs) are extremely vulnerable when diagnosed with cancer and while undergoing treatment. Nurses working on a youth unit for patients aged 15 to 22 years developed a nursing program that aims at supporting these young patients and their significant others to maintain, establish, and strengthen their social network during the treatment period. This article presents a grounded theory study that explored how the network-focused program was perceived by TYAs with cancer and their significant others. A theoretical account is presented on the meanings and actions that the inherent processes and interactions created. Twelve TYAs and 19 significant others participated. Data were generated through interviews, observations, and informal conversations. Embracing the program and building strength were the 2 subcategories that linked to a core concept of keeping their world together. The findings show that nurses are in a unique position to enhance and support the efforts of these young patients and their significant others in connecting with the social network that extends beyond the family and includes the wider social network.
Caspase-8 Cleaves Histone Deacetylase 7 and Abolishes Its Transcription Repressor Function*

Caspase-8 is the initiator caspase of the extrinsic apoptosis pathway and also has a role in non-apoptotic physiologies. Identifying endogenous substrates for caspase-8 by using integrated bioinformatics and biological approaches is required to delineate the diverse roles of this caspase. We describe a number of novel putative caspase-8 substrates using the Prediction of Protease Specificity (PoPS) program, one of which is histone deacetylase 7 (HDAC7). HDAC7 is cleaved faster than any other caspase-8 substrate described to date. It is also cleaved in primary CD4+CD8+ thymocytes undergoing extrinsic apoptosis. By using naturally occurring caspase inhibitors that have evolved exquisite specificity at concentrations found within the cell, we could unequivocally assign the cleavage activity to caspase-8. Importantly, cleavage of HDAC7 alters its subcellular localization and abrogates its Nur77 repressor function. Thus we demonstrate a direct role for initiator caspase-mediated proteolysis in promoting gene transcription.
Impact of Genotype and Morphology on the Prognosis of Glioblastoma

The recognition of molecular subsets among glioblastomas has raised the question whether distinct mutations in glioblastoma-associated genes may serve as prognostic markers. The present study on glioblastomas (GBM) from 97 consecutively sampled adult patients is based on a clinical, histopathological, immunohistochemical, and molecular genetic analysis. Parameters assessed were age at diagnosis, survival, cell type, proliferation, necrosis, microvascular proliferation, sarcomatous growth, lymphocytic infiltration, thromboses, calcifications, GFAP expression, MIB-1 index, loss of heterozygosity (LOH) of the chromosomal arms 1p, 10p, 10q, 17p, 19q and structural alterations in the TP53, EGFR and PTEN genes. As in previous studies, younger age was significantly associated with better survival. Among the molecular parameters, TP53 mutations and LOH10q emerged as favorable and poor prognostic factors, respectively. TP53 mutations were a favorable prognostic factor independent of whether glioblastomas were primary or secondary. LOH1p or 19q, lesions suspected to be over-represented in long term survivors with malignant glioma, were not associated with better survival. However, the combination of LOH1p and LOH19q defined GBM patients with a significantly better survival. Notably, these patients did not exhibit morphological features reminiscent of oligodendroglioma. These findings indicate that genotyping of glioblastoma may provide clinical information of prognostic importance.
Learning Algorithms for the Classification Restricted Boltzmann Machine

Recent developments have demonstrated the capacity of restricted Boltzmann machines (RBM) to be powerful generative models, able to extract useful features from input data or construct deep artificial neural networks. In such settings, the RBM only yields a preprocessing or an initialization for some other model, instead of acting as a complete supervised model in its own right. In this paper, we argue that RBMs can provide a self-contained framework for developing competitive classifiers. We study the Classification RBM (ClassRBM), a variant on the RBM adapted to the classification setting. We study different strategies for training the ClassRBM and show that competitive classification performances can be reached when appropriately combining discriminative and generative training objectives. Since training according to the generative objective requires the computation of a generally intractable gradient, we also compare different approaches to estimating this gradient and address the issue of obtaining such a gradient for problems with very high dimensional inputs. Finally, we describe how to adapt the ClassRBM to two special cases of classification problems, namely semi-supervised and multitask learning.
Informative Cues Facilitate Saccadic Localization in Blindsight Monkeys

Patients with damage to the primary visual cortex (V1) demonstrate residual visual performance during laboratory tasks despite denying having a conscious percept. The mechanisms behind such performance, often called blindsight, are not fully understood, but the use of surgically-induced unilateral V1 lesions in macaque monkeys provides a useful animal model for exploring such mechanisms. For example, V1-lesioned monkeys localize stimuli in a forced-choice condition while at the same time failing to report awareness of identical stimuli in a yes-no detection condition, similar to human patients. Moreover, residual cognitive processes, including saliency-guided eye movements, bottom-up attention with peripheral non-informative cues, and spatial short-term memory, have all been demonstrated in these animals. Here we examined whether post-lesion residual visuomotor processing can be modulated by top-down task knowledge. We tested two V1-lesioned monkeys with a visually guided saccade task in which we provided an informative foveal pre-cue about upcoming target location. Our monkeys fixated while we presented a leftward or rightward arrow (serving as a pre-cue) superimposed on the fixation point (FP). After various cue-target onset asynchronies (CTOAs), a saccadic target (of variable contrast across trials) was presented either in the affected (contra-lesional) or seeing (ipsi-lesional) hemifield. Critically, target location was in the same hemifield that the arrow pre-cue pointed towards in 80% of the trials (valid-cue trials), making the cue highly useful for task performance. In both monkeys, correct saccade reaction times were shorter during valid than invalid trials. Moreover, in one monkey, the ratio of correct saccades towards the affected hemifield was higher during valid than invalid trials. We replicated both reaction time and correct ratio effects in the same monkey using a symbolic color cue. These results suggest that V1-lesion monkeys can use informative cues to localize stimuli in the contra-lesional hemifield, consistent with reports of a human blindsight subject being able to direct attention in cueing paradigms. Because the superior colliculus (SC) may contribute to residual visual capabilities after V1 lesions, and because this structure is important for controlling attentional resources, we hypothesize that our results reflect, among others, SC involvement in integrating top-down task knowledge for guiding orienting behavior.
Hierarchical regression analysis in structural Equation Modeling

In a hierarchical or fixed-order regression analysis, the independent variables are entered into the regression equation in a prespecified order. Such an analysis is often performed when the extra amount of variance accounted for in a dependent variable by a specific independent variable is the main focus of interest (e.g., Cohen & Cohen, 1983). For example, in the area of reading achievement, there is a general interest in the specific abilities that predict reading development. Because these specific abilities are often correlated with more general abilities, such as verbal intelligence, the latter abilities are controlled for first (e.g., Wagner, Torgesen, & Rashotte, 1994). An additional reason for performing a hierarchical regression analysis is that, in these research applications, as well as in many others, the independent variables are often highly correlated. When correlated independent variables are included simultaneously in the regression model, multicollinearity arises (Cohen & Cohen, 1983). Though regularly used with observed variables, hierarchical regression analysis has not been performed with latent variables. In most applications of structural equation modeling (SEM), the latent predictors have been entered simultaneously into the regression model, although in several cases hierarchical regression analysis would have been the more appropriate approach (e.g., Guthrie et al., 1998; Normandeau & Guay, 1998; Wagner et al., 1994; Wagner et al., 1997). In this article we describe how a hierarchical regression analysis may be conducted in SEM. The main procedure proposed is to perform a Cholesky or triangular decomposition of the intercorrelations among the latent predictors (Harman, 1976; Loehlin, 1996). First the procedure is described and then an example of a hierarchical regression analysis with latent variables is given. Copyright © 1999, Lawrence Erlbaum Associates, Inc.
Automated generation of models for fast and precise detection of HTTP-based malware

Malicious software and especially botnets are among the most important security threats in the Internet. Thus, the accurate and timely detection of such threats is of great importance. Detecting machines infected with malware by identifying their malicious activities at the network level is an appealing approach, due to the ease of deployment. Nowadays, the most common communication channels used by attackers to control the infected machines are based on the HTTP protocol. To evade detection, HTTP-based malware adapt their behavior to the communication patterns of the benign HTTP clients, such as web browsers. This poses significant challenges to existing detection approaches like signature-based and behavioral-based detection systems. In this paper, we propose BOTHOUND: a novel approach to precisely detect HTTP-based malware at the network level. The key idea is that implementations of the HTTP protocol by different entities have small but perceivable differences. Building on this observation,BOTHOUND automatically generates models for malicious and benign requests and classifies at real time the HTTP traffic of a monitored network. Our evaluation results demonstrate that BOTHOUND outperforms prior work on identifying HTTP-based botnets, being able to detect a large variety of real-world HTTP-based malware, including advanced persistent threats used in targeted attacks, with a very low percentage of classification errors.