Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of the vaginal microbiome in gynaecological cancer

Human microbiome research has shown commensal bacteria to be a major factor in both wellness and disease pathogenesis. Interest in the microbiome has recently expanded beyond the gut to include a multitude of other organ systems for which the microbiome may have health implications. Here, we review the role of the vaginal microbiome in health and disease, with a particular focus on gynaecologic malignancies. Further, we suggest that it may be possible to expand the use of probiotics in the treatment of gynaecological cancers.
Film Award Choices

Three sources—domain experts, consumers, and professional film critics—engage in the recognition and validation of cinematic excellence. Each signals its approbation with awards, ratings, reviews, and lists of the best. Notwithstanding a generous body of research, congruence among these sources remains unclear. For example, research findings show the influence of critics’ reviews on box office receipts—consumers—vary from strong to nil. Some studies report similarities in critics’ and consumers’ cinematic taste; others report differences. This article seeks a clarification of one facet of the role of critics in the recognition of cinematic excellence by comparing critics’ film award choices—not their ratings—with Oscar awards, in four categories: best actor, actress, director, and film. For each pair of award categories, chi-squares were performed on cross-classifications of the frequency of critics’ choices matching Oscar’s. Cramer’s V sheds light on auteur theory, actress–actor differences, and coat-tail effects of best film awards.
The Effects of Physical Abuse on Object Relations Development: A Review of the Empirical Literature.

Childhood abuse has been implicated in such difficulties as developmental lags, family dysfunction, social problems, and emotional distress. This paper presents a review of the empirical literature which examines the relationship between physical abuse and object relations impairment. Data in the literature were commonly derived from either Thematic Apperception Test or Bell Object Relations and Reality Testing Inventory analyses. Results of studies are grouped into four categories which are similar to categories suggested by the Object Relations and Social Cognition Scales. The categories are: complexity of object relations, affect tone, capacity for emotional investment, and accuracy of attributions. The studies most often used clinical and inpatient populations and found that physical abuse impacts these four areas significantly. The few studies that found disparities used slightly different factor analytical procedures or instruments. The limited scope of the research suggests the need for additional research with a broader range of measurement tools. (Contains 43 references.) (Author/EV) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION y CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. THE EFFECTS OF PHYSICAL ABUSE ON OBJECT RELATIONS DEVELOPMENT: A REVIEW OF THE EMPIRICAL LITERATURE A Doctoral Research Paper Presented to the Faculty of the Rosemead School of Psychology Biola University In Partial Fulfillment of the Requirements for the Degree Doctor of Psychology BEST COPY AVAILaLIE by
Identifying the Dead: Methods Utilized by the Pima County (Arizona) Office of the Medical Examiner for Undocumented Border Crossers: 2001–2006 *

Abstract: The Pima County (Arizona) Office of the Medical Examiner has seen a dramatic rise over the past 6 years in the number of deaths related to the illegal crossing of our international border with Mexico. This rise in deaths is undoubtedly related to an increase in the number of foreign nationals who cross into the various Arizona jurisdictions that utilize the Pima County Medical Examiner to investigate their unnatural deaths. Because of the utterly dangerous nature of trekking across the Sonoran Desert, especially in the summer months, many of these unfortunate migrants succumb to the effects of heat‐related illness and perish along the journey. The combined effects of a dry, hot environment and the remoteness of some of the trekking corridors can quickly render a deceased person unidentifiable by visual means. Thus, our office is faced with not only an increase in the number of deaths requiring medico‐legal investigation but also an increase in the number of decedents needing additional specialized examinations in an effort to effect identification. This paper attempts to outline the problems and the methods utilized by our office over the past 6 years in the identification process of undocumented border crossers. It is hoped that this paper, as well as the others presented at this symposium, will allow for the sharing of information amongst all medical investigators who assist in the identification of these migrants. The identification of these individuals takes on added importance when one considers the possible nationalities, and perhaps motivation for entering into the US, of those that remain unidentified.
UNCERTAINTY ISSUES IN HYDRODYNAMIC FLOOD MODELING

In flood modeling, awareness has grown that models may not be reliable and may be uncertain and that performances should be evaluated more critically. Models may be uncertain due to many reasons that commonly relate to the selected model structure, the required input but also the mathematical algorithms. In flood modeling, however, the governing flow equations are well known and nowadays efficient numerical solvers are available. With the advent of fast computing facilities it now is possible to solve the full set of equations rapidly and accurately that reduces uncertainty. However, there remain other sources of uncertainty and in this study the objective is to evaluate effects of selected boundary conditions, of applied surface roughness values and the spatial resolution of the model domain. The hydrodynamic model approaches applied in this study are the one-dimensional (1D) model, HEC-RAS, and the two-dimensional (2D) model, SOBEK. LIght Detection And Ranging (LIDAR) data is utilized to prepare a DEM and DTM for modeling the geometric and land cover inputs for the selected model approaches. In this study this data is processed by means of a GIS and inputs are prepared at various spatial resolutions to evaluate how effects of applied boundary conditions are influenced by selected grid resolution. Model boundary conditions that are evaluated include normal depth, constant water level, artificially steeper channel, and hydraulic free flow. Results show that boundary effects propagate into the model domain at distances larger than one kilometer while the model is found less sensitive when the boundary condition is defined as hydraulically free flow. This study also shows that DEM re-sampling averages out topographic information that affects model simulation results in terms of simulated flow velocity, flood depth and flood inundation area
Fault detection for a class of nonhomogeneous Markov jump systems based on delta operator approach

The problem of fault detection for a class of nonhomogeneous Markov jump system is addressed in this article based on a delta operator approach. The system under consideration contains mode-dependent delays, nonlinearities, as well as nonhomogeneous Markov switching. Also, the delta operator provides a theoretically unified formulation of continuous-time and discrete-time systems. In addition to the stochastic H∞ performance, a new definition of stochastic H− index is introduced from the signal’s point of view, which gives a measurement of sensitivity from the residuals to the faults. Then, the fault detection scheme is proposed in which the effect of the disturbances on the residuals is minimized; meanwhile, the effect of the faults on the residuals is maximized. Subsequently, novel sufficient conditions are derived to treat this multiobjective optimization problem in a potentially less conservative framework. Especially for the sensitivity performance, a new convex condition, which includes some existing results, is obtained in terms of linear matrix inequalities. Finally, an aircraft application is given to demonstrate the effectiveness of the proposed method.
Scene Text Recognition with Sliding Convolutional Character Models

Scene text recognition has attracted great interests from the computer vision and pattern recognition community in recent years. State-of-the-art methods use concolutional neural networks (CNNs), recurrent neural networks with long short-term memory (RNN-LSTM) or the combination of them. In this paper, we investigate the intrinsic characteristics of text recognition, and inspired by human cognition mechanisms in reading texts, we propose a scene text recognition method with character models on convolutional feature map. The method simultaneously detects and recognizes characters by sliding the text line image with character models, which are learned end-to-end on text line images labeled with text transcripts. The character classifier outputs on the sliding windows are normalized and decoded with Connectionist Temporal Classification (CTC) based algorithm. Compared to previous methods, our method has a number of appealing properties: (1) It avoids the difficulty of character segmentation which hinders the performance of segmentation-based recognition methods; (2) The model can be trained simply and efficiently because it avoids gradient vanishing/exploding in training RNN-LSTM based models; (3) It bases on character models trained free of lexicon, and can recognize unknown words. (4) The recognition process is highly parallel and enables fast recognition. Our experiments on several challenging English and Chinese benchmarks, including the IIIT-5K, SVT, ICDAR03/13 and TRW15 datasets, demonstrate that the proposed method yields superior or comparable performance to state-of-the-art methods while the model size is relatively small.
Effect of supplementation of probiotic and enzymes on performance of Japanese quails.

The present study was carried out for six weeks on 135 day old quail chicks to study the effect of supplementation of probiotic and enzymes on growth performance. The dietary treatments comprised of T1 – control i.e. corn – soya based diet as control, whereas T2 and T3 supplemented with probiotic and multienzyme respectively. The body weight gain and feed conversion efficiency was significantly (P
Influence of water activity on the production of extracellular enzymes by Staphylococcus aureus

Two enterotoxigenic strains of Staphylococcus aureus were examined for their ability to produce a number of extracellular enzymes at various water activity (alphaw) levels. Supernatant, dialyzed culture media were analyzed for total and relative levels of enzyme activity. With the exception of protease, enzyme activity was greatest in spent media obtained from cultures grown at 0.996 alphaw, the highest level tested. Enzyme activity in spent media from an enterotoxin B-producing strain was generally more sensitive to alphaw reduction than activity from an enterotoxin A-producing strain. Unlike the other enzymes assayed, acid and alkaline protease activities were greatest when the organism was grown at 0.94 alphaw.
The role of image size in the recognition of conversational facial expressions

Facial expressions can be used to direct the flow of a conversation as well as to improve the clarity of communication. The critical physical differences between expressions can, however, be small and subtle. Clear presentation of facial expressions in applied settings, then, would seem to require a large conversational agent. Given that visual displays are generally limited in size, the usage of a large conversational agent would reduce the amount of space available for the display of other information. Here, we examine the role of image size in the recognition of facial expressions. The results show that conversational facial expressions can be easily recognized at surprisingly small image sizes. Copyright © 2004 John Wiley & Sons, Ltd.
A Systematic Review of Cybersickness

The uptake of new interface technologies, such as the Oculus Rift have generated renewed interest in virtual reality especially for private entertainment use. However, long standing issues with unwanted side effects, such as nausea from cybersickness, continue to impact on the general use of devices such as head mounted displays. This in turn has slowed the uptake of more immersive interfaces for computer gaming and indeed more serious applications in training and health. In this paper we report a systematic review in the area of cybersickness with a focus on measuring the diverse symptoms experienced. Indeed the related conditions of simulator sickness and motion sickness have previously been well studied and yet many of the issues are unresolved. Here we report on these issues along with a number of measures, both subjective and objective in nature, using either questionnaires or psychophysiological measures that have been used to study cybersickness. We also report on the factors, individual, device related and task dependent that impact on the condition. We conclude that there remains a need to develop more cost-effective and objective physiological measures of both the impact of cybersickness and a person's susceptibility to the condition.
Lipid and lipoprotein levels in depressive disorders with melancholic feature or atypical feature and dysthymia

Abstract The purpose of the present study was to explore the relationship between serum lipid and lipoprotein levels and clinical subtypes in patients with depressive disorders. A total of 207 patients who were admitted for general health screening were assessed by using the semistructured clinical interview for Diagnostic and Statistical Manual of Mental Disorders (4th edn; DSM‐IV) criteria for the possibility of having depressive disorders. Blood and physical examinations were done to rule out systemic diseases. A total of 142 patients without systemic diseases was recruited for further analysis, including dysthymia (n = 35), major depressive disorder with melancholic feature (n = 22), major depressive disorder with atypical feature (n = 46) and normal controls (n = 39). Analysis of covariance after age adjustment reveals significant differences in patients with melancholic feature and patients with atypical feature in serum concentrations of triglyceride (TG) and very‐low‐density‐lipoprotein cholesterol (VLDL) in men, and high‐density‐lipoprotein cholesterol (HDL) in women. This suggests that the TG, VLDL and HDL levels might be used as biological markers to differentiate between major depressive patients with melancholic feature or atypical feature.
Constitutive intestinal NF-  B does not trigger destructive inflammation unless accompanied by MAPK activation

intestinal intraepithelial lympho- cyte; IKK, activated by I  B kinase; LP, lamina propria; LPL, LP lymphocyte; MAPK, mitogen-activated protein kinase; MLN, mesenteric LN; Q-RT-PCR, quantitative real- time PCR; TACE, TNF-  – converting enzyme. Nuclear factor (NF)-  B, activated by I  B kinase (IKK), is a key regulator of inflammation, innate immunity, and tissue integrity. NF-  B and one of its main activators and transcriptional targets, tumor necrosis factor (TNF), are up-regulated in many inflammatory diseases that are accompanied by tissue destruction. The etiology of many inflammatory diseases is poorly understood, but often depends on genetic factors and environmental triggers that affect NF-  B and related pathways. It is unknown, however, whether persistent NF-  B activation is sufficient for driving symptomatic chronic inflammation and tissue damage. To address this question, we generated IKK  (EE) IEC mice, which express a constitutively active form of IKK  in intestinal epithelial cell (IECs). IKK  (EE) IEC mice exhibit NF-  B activation in IECs and express copious
Comparative analysis of string similarity and corpus-based similarity for automatic essay scoring system on e-learning gamification

Essay assessment within e-learning need to be conducted manually by human expert. This process takes time and costly. Hence, automatic essay scoring is needed. Since the scoring system will be integrated to the e-learning, we need a computationally lightweight method that still does not rule out the accuracy of the assessment. In this paper, we propose an automatic scoring system for essay examination using unsupervised approaches. We compare and analyze two similarity measure methods, cosine similarity and latent semantic analysis. The parameters that was used to measure the performance of the methods are the computational complexity — measured by the amount of CPU and memory usage, and page load time — and accuracy — measured by Pearson Correlation and Mean Absolute Error. The results showed that both algorithm consumed same amount of memory. For CPU usage, LSA consumption is 0.13% and cosine's is 0.06%. For page load time, cosine similarity is faster than LSA which is 0.2 second and 0.5 second consecutively. Based on the correlation measure with Pearson, LSA is more superior to the cosine similarity by 0.59 to 0.49. LSA also has less MAE than cosine similarity which is 5.69 compared to 5.33. From that result, LSA and Cosine Similarity has a very competitive result in accuracy. However, Cosine has a better server performance so that preferred to be implemented in e-learning automatic essay scoring system.
Morphological and Cytomolecular Assessment of Intraspecific Variability in Scarlet Eggplant (Solanum aethiopicum L.)

Solanum aethiopicum L. is native to sub-Saharan Africa but is now found in many parts of the world. It is used for food, medicinal, and ornamental purposes. It has also been used as a rootstock for tomato and common eggplant because of its resistance to certain pathogens. However, very little is known about its genetics, so the purpose of this work was to assess intraspecific variability in S. aethiopicum via morphological and cytomolecular characterization of 12 scarlet eggplant accessions. Cluster analysis was used for grouping the accessions using means of 27 variables. Four separate groups were found, with two groups each consisting of five accessions and two other groups each consisting of only one accession. Variability was high with flower- and fruit-associated descriptors among the accessions. Monoploid genome sizes (Cx-value), average chromosome sizes (C/n-value), and GC content were determined. Haploid genome size of S. aethiopicum ranged from 1.312 pg/1C to 1.538 pg/1C. , which is close to the genome size (1.2 pg/1C) of the common eggplant. Only PI 420226 (1.538 pg/1C) was significantly different from the rest, giving credence to the theory that PI 420226 is actually a S. macrocarpon accession. GC content of S. aethiopicum accessions was about 40%. We used 18S-28S rDNA and 5S rDNA probes to study the distribution and physical position of these ribosomal genes in S. aethiopicum. These results help to better understand intraspecific variability in S. aethiopicum and can be important for the breeding and selection of this crop.
Analysis of the threshold voltage turn-around effect in high-voltage n-MOSFETs due to hot-carrier stress

The turn-around effect of the threshold voltage shift during hot-carrier stress has been investigated. Such a phenomenon is explained by the interplay between interface states and oxide traps, i.e. by the compensation of the rapidly created oxide charges by the more slowly created interface states. To prove this idea, a refined extraction scheme for the defect distribution from charge-pumping measurements has been employed. The obtained results are in a good agreement with the findings of our physics-based model of hot-carrier degradation. This approach considers not only damage produced by channel electrons but also by secondary generated channel holes. Although the contribution of the holes to the total defect creation is smaller compared to that of electrons, their impact on the threshold voltage shift is comparable with the electronic contribution. The reason behind this trend is that hole-induced traps are shifted towards the source, thereby more severely affecting the device behavior.
Bicycle Sharing and Transit: Does Capital Bikeshare Affect Metrorail Ridership in Washington, D.C.? By

Bicycle sharing programs have emerged as a global trend as an affordable, convenient, and sustainable travel option with various benefits. One of the benefits of such programs is touted to be their positive impacts on transit ridership by extending transit catchment area and providing much needed last-mile connection. Thus, locating bicycle sharing programs in transit station areas is believed to benefit both. However, the question of how and to what extent bicycle sharing programs affect transit ridership remains to be answered despite the attempts of few empirical and quantitative studies. From the microeconomic perspective, bicycle sharing can be a substitute, complement or both to transit use. In this paper, we examine impacts of bicycle share program on rail transit ridership using Washington, D.C. as a case study. Specifically, we explore the Capital Bikeshare program’s impact on Metrorail’s ridership. Two sets of analysis are conducted (1) an Origin-Destination analysis is conducted to map quarterly Capital Bikeshare trips, (2) a regression analysis. The first analysis showed that Metrorail stations have been important origin/destination of Capital Bikeshare trips. Six out of seven bikeshare stations with more than 500 trips are close to Metrorail stations. The result of regression analysis show Capital Bikeshare ridership in Metrorail transit catchment area is associated with higher transit ridership. Results suggest that 10 percent increase of CaBi ridership will lead to 2.8 percent increase in Metrorail ridership. Based on the results, potential policy implications and recommendations are discussed.
The Immediate Effects of Glare and Electrochromic Glare-Reducing Mirrors in Simulated Truck Driving

In this experiment 12 experienced truck drivers drove a fixed-base driving simulator for three 8-h sessions under simulated nighttime driving conditions. Sessions included (a) no glare, (b) intermittent glare presented in the exterior rearview mirrors to simulate following vehicles, and (c) intermittent glare with electrochromic glare reduction. The driving task combined vehicle control on straight and curved road segments with detection of pedestrians appearing alongside the road and targets appearing in the rearview mirrors. The presence of glare slowed detection of pedestrians and, to a lesser extent, slowed the detection of targets appearing in mirrors. Glare was also associated with increased lane position variability, reduced speed on curves, and, most consistently, increased steering variability. We found only meager evidence that electrochromic glare reduction improved target detection performance and no evidence that glare reduction improved vehicle control, despite the fact that participants consistently voiced positive preferences for glare reduction. The results will aid decision making that requires incorporation of the benefits of electrochromic glare-reducing mirrors.