Miracle-dz/UniFAR-FTUs huggingface dataset:
Marital Conflict and Child Outcomes: The Role of Children's Affect and Coping Processes.

This study examined young children's affective distress and behavioral responses to parental marital conflict. Forty-eight 4-year-olds and their parents participated in the study. Mothers and fathers independently completed measures of marital conflict, children's reactions to marital conflict, and child behavior problems, while the children completed pictorial measures of reactions to marital conflict and perceived competency. Analysis indicated that children who reported using more maladaptive behavioral responding also reported higher self-esteem. Children who had higher levels of father-reported affective distress also reported higher self-esteem. Children's behavioral responding to marital discord appears to moderate the relation between children's self-reported emotional reactivity to parental conflict and mother-reported child behavior problems. The findings suggest that children's subjective experience of marital conflict appears to play a role in their adjustment and development, beyond the effect of marital conflict alone. (Contains 15 references.) (MDM) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** U.S. DEPARTMENT Off EDUCATION Office of Educat,onal Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Khis document has been reproduCed 00 eceived from the person or organization originating 1. O Minor changes have been made to improve reproduction Quality. Points of new or opinions stated in this document do not necessarily represent officio, OERI position or policy Marital Conflict and Child Outcomes 1 Marital Conflict and Child Outcomes: The Role of Children's Affect and Coping Processes Sarah E. Martin and Mari L. Clements Poster Presented at the 1997 Biennial Meeting of the Society for Research In Child Development, Washington, D.C. This research supported by grants from the Research and Graduate Studies Office, College of Liberal Arts, and the Center for the Study of Child and Adolescent Development, The Pennsylvania State University. Address correspondence concerning this poster to either Sarah E. Martin or Man L. Clements, Department of Psychology, 417 Moore Building, University Park, PA 16802-3104, sem146@psuvm.psu.edu or m1c4@psu.edu. PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY (N(. 4:21.r4cM TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC)
Glucocorticoid and progesterone inhibit involution and programmed cell death in the mouse mammary gland

Milk production during lactation is a consequence of the suckling stimulus and the presence of glucocorticoids, prolactin, and insulin. After weaning the glucocorticoid hormone level drops, secretory mammary epithelial cells die by programmed cell death and the gland is prepared for a new pregnancy. We studied the role of steroid hormones and prolactin on the mammary gland structure, milk protein synthesis, and on programmed cell death. Slow-release plastic pellets containing individual hormones were implanted into a single mammary gland at lactation. At the same time the pups were removed and the consequences of the release of hormones were investigated histologically and biochemically. We found a local inhibition of involution in the vicinity of deoxycorticosterone- and progesterone-release pellets while prolactin-release pellets were ineffective. Dexamethasone, a very stable and potent glucocorticoid hormone analogue, inhibited involution and programmed cell death in all the mammary glands. It led to an accumulation of milk in the glands and was accompanied by an induction of protein kinase A, AP-1 DNA binding activity and elevated c-fos, junB, and junD mRNA levels. Several potential target genes of AP-1 such as stromelysin-1, c-jun, and SGP-2 that are induced during normal involution were strongly inhibited in dexamethasone-treated animals. Our results suggest that the cross-talk between steroid hormone receptors and AP-1 previously described in cells in culture leads to an impairment of AP-1 activity and to an inhibition of involution in the mammary gland implying that programmed cell death in the postlactational mammary gland depends on functional AP-1.
Confidence guided enhancing brain tumor segmentation in multi-parametric MRI

Enhancing brain tumor segmentation for accurate tumor volume measurement is a challenging task due to the large variation of tumor appearance and shape, which makes it difficult to incorporate prior knowledge commonly used by other medical image segmentation tasks. In this paper, a novel idea of confidence surface is proposed to guide the segmentation of enhancing brain tumor using information across multi-parametric magnetic resonance imaging (MRI). Texture information along with the typical intensity information from pre-contrast T1 weighted (T1 pre), post-contrast T1 weighted (T1 post), T2 weighted (T2), and fluid attenuated inversion recovery (FLAIR) MRI images are used to train a discriminative classifier at pixel level. The classifier is used to generate a confidence surface, which gives a likelihood of each pixel being a tumor or non-tumor. The obtained confidence surface is then incorporated into two classical methods for segmentation guidance. The proposed approach was evaluated on 19 groups of MRI images with tumor and promising results have been demonstrated.
A Critical Reappraisal of the Bleeding Time*

Since its initial invention by the French worker Milian in 1901, the bleeding time has been put forward as a clinically useful test in three contexts: diagnosis (particularly of platelet disorders), prediction of clinically important bleeding, and assessment of the adequacy of various forms of therapy. Attempting a complete review of the published experience with this test, we assessed 862 articles. Original bleeding time data appeared in 664 of these articles, from which we tabulated 1083 distinct studies in humans. ROC analysis, which characterizes the sensitivity and specificity of the test, was applied in every instance in which published data were adequate (34 studies). ROCs from 27 studies of the bleeding time in association with aspirin ingestion reveal high variability in the ability of the bleeding time to detect aspirin intake, and provide evidence against claims that recently devised bleeding time methods have improved discriminatory ability based on improved reproducibility. Two ROCs from surgical studies, in which the bleeding time was used to try to predict abnormal bleeding, were statistically indistinguishable from that of a completely noninformative test. In ROCs from five studies of abnormal bleeding in uremia, the test performed approximately the same as the platelet count or hematocrit (taken singly); in one of these studies, prothrombin consumption was determined and was a better predictor of bleeding than bleeding time, hematocrit, or platelet count. In the settings of renal biopsy (one study) and massive transfusion (one study), data allowed estimation of predictive value: in no instance was there evidence that the bleeding time significantly altered a priori estimates (based on prevalence) of the risk of bleeding. Linear regression analysis was applied to data from 23 studies relating platelet count to bleeding time, to assess published claims that the bleeding time and platelet count follow a predictively useful linear relationship. In 22 of 23 instances, the inverse relationship between bleeding time and platelet count was associated with broad statistical scatter, making it impossible to predict precisely one variable given the other. The pathophysiology of an abnormal bleeding time remains poorly understood. The bleeding time is affected by a large number of diseases, drugs, physiologic factors, test conditions, and therapeutic actions, not all of them platelet-related. The test is likely to remain widely used for the diagnosis of inherited disorders of platelet function, such as von Willebrand's syndrome, despite the lack of clear criteria for its use in this context. (ABSTRACT TRUNCATED AT 400 WORDS)
DNA Damage in Nasal and Brain Tissues of Canines Exposed to Air Pollutants Is Associated with Evidence of Chronic Brain Inflammation and Neurodegeneration

Acute, subchronic, or chronic exposures to particulate matter (PM) and pollutant gases affect people in urban areas and those exposed to fires, disasters, and wars. Respiratory tract inflammation, production of mediators of inflammation capable of reaching the brain, systemic circulation of PM, and disruption of the nasal respiratory and olfactory barriers are likely in these populations. DNA damage is crucial in aging and in age-associated diseases such as Alzheimer's disease. We evaluated apurinic/apyrimidinic (AP) sites in nasal and brain genomic DNA, and explored by immunohistochemistry the expression of nuclear factor NFκB p65, inducible nitric oxide synthase (iNOS), cyclo-oxygenase 2 (COX2), metallothionein I and II, apolipoprotein E, amyloid precursor protein (APP), and beta-amyloid1-42 in healthy dogs naturally exposed to urban pollution in Mexico City. Nickel (Ni) and vanadium (V) were measured by inductively coupled plasma mass spectrometry (ICP-MS). Forty mongrel dogs, ages 7 days—10 years were studied (14 controls from Tlaxcala and 26 exposed to urban pollution in South West Metropolitan Mexico City (SWMMC)). Nasal respiratory and olfactory epithelium were found to be early pollutant targets. Olfactory bulb and hippocampal AP sites were significantly higher in exposed than in control age matched animals. Ni and V were present in a gradient from olfactory mucosa > olfactory bulb > frontal cortex. Exposed dogs had (a) nuclear neuronal NFκB p65, (b) endothelial, glial and neuronal iNOS, (c) endothelial and glial COX2, (d) ApoE in neuronal, glial and vascular cells, and (e) APP and β amyloid1-42 in neurons, diffuse plaques (the earliest at age 11 months), and in subarachnoid blood vessels. Increased AP sites and the inflammatory and stress protein brain responses were early and significant in dogs exposed to urban pollution. Oil combustion PM-associated metals Ni and V were detected in the brain. There was an acceleration of Alzheimer's-type pathology in dogs chronically exposed to air pollutants. Respiratory tract inflammation and deteriorating olfactory and respiratory barriers may play a role in the observed neuropathology. These data suggest that Alzheimer's disease may be the sequela of air pollutant exposures and the resulting systemic inflammation.
Osteomyelitis in military personnel wounded in Iraq and Afghanistan.

BACKGROUND Orthopedic injuries occurring in Operations Iraqi Freedom and Enduring Freedom (OIF/OEF) are complicated by infections with multidrug resistant bacteria. We describe demographics and microbiology of OIF/OEF casualties with primary and recurrent osteomyelitis. METHODS A retrospective cohort study was performed of OIF/OEF casualties admitted to our facility from February 1, 2003 to August 31, 2006. Electronic records were queried for demographic information, bacteria recovered, antibiotic therapies and duration, site of osteomyelitis, orthopedic devices, and outcomes. RESULTS There were 110 patients with 139 hospitalizations for osteomyelitis; 94 involved lower extremities, 43 involved upper extremities, and 2 involved the axial skeleton. One hundred three admissions were initial episodes whereas 36 admissions were recurrences. The median age was 27 years; 95% were men. Duration of follow-up ranged from 2 weeks to 36 months. Those patients with orthopedic devices had recurrent infections more frequently (26 vs. 5%, p < 0.01). Bacteria, antibiotics, or infection site were not predictive of recurrence. Acinetobacter spp. (70 vs. 5%, p < 0.01), Klebsiella pneumoniae (18 vs. 5%, p = 0.04), and Pseudomonas aeruginosa (24 vs. 5%, p < 0.01) were more likely to be recovered during original episodes than during recurrences. Gram-positive organisms were more likely during recurrences; Staphylococcus aureus (13 vs. 53%, p < 0.01); methicillin susceptible S. aureus (5 vs. 22%, p < 0.01), methicillin resistant S. aureus (8 vs. 31%, p < 0.01). CONCLUSIONS The microbiology of osteomyelitis in veterans of OIF/OEF differs substantially depending upon whether the infection is new or recurrent. Gram-negative pathogens predominate early, being replaced with staphylococci after treatment, despite nearly universal use of gram- positive therapy.
Comparative Analysis of Migration-Based Rejuvenation Schedules on Cloud Availability

Software aging refers to performance degradation faced on long-running execution software. The software infrastructure supporting Cloud Computing systems may suffer from aging effects. Such a phenomenon was already reported for virtual infrastructure managers and virtual machine monitors. In this sense, software rejuvenation is a technique of proactive fault tolerance to deal with effects of software aging. This paper proposes a comprehensive availability model for two different types of rejuvenation scheduling based on live migration mechanism, one with a test before migration, and other without. We evaluate five different scenarios, with distinct time intervals for triggering the rejuvenation. The main goal is to explain the benefits gained from the use of this type of rejuvenation technique, as well as understand the differences between the two approaches analyzed. The results show that the utilization of a schedule with a checking mechanism before rejuvenation can bring a significant improvement on system availability.
Simple Prediction Model of Axillary Lymph Node Positivity After Analyzing Molecular and Clinical Factors in Early Breast Cancer

Abstract The aim of this study was to evaluate the association between pretreatment molecular and clinical factors and axillary lymph node metastases in early breast cancer. A total of 367 consecutive breast cancer patients with cT1–2NxM0 who underwent breast conserving surgery and axillary lymph node dissection followed by whole breast irradiation were enrolled. We evaluated the pathologic tumor and node status, tumor differentiation, calcification, and lymphovascular invasion, the status of estrogen receptor (ER), progesterone receptor (PR), epidermal growth factor receptor 1 (EGFR1), and human epidermal growth factor receptor 2 (HER2), the expression of E-cadherin, P53, and Ki-67 index. Totally, 108 (29.4%) of the 367 patients had positive axillary lymph nodes. An increased tumor size (P = 0.024), the presence of lymphovascular invasion (P < 0.001), and Ki-67 index of >20% (P = 0.038) were significantly associated with axillary lymph node metastases on the multivariate analysis. In our study, 86.2% of the patients with all the unfavorable factors had an involvement of axillary nodal metastases, and only 12.2% of the patients with all the favorable predictors had positive axillary nodes. The predictive power was significant on the receiver operating curve (P < 0.001). We found that several factors, such as tumor size, lymphovascular invasion, and the Ki-67 index, are independent factors that predict positive ALNM on multivariate analysis for the patients with cT1–2 breast cancer. Clinicians simply could predict the probability of ALNM after verifying the molecular and clinical factors in early breast cancer.
Draft Genome Sequences of Escherichia coli Isolates from Wounded Military Personnel

ABSTRACT Members of the Escherichia coli bacterial family have been grouped as ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) pathogens because of their extensive drug resistance phenotypes and increasing threat to human health. The genomes of six extended-spectrum β-lactamase (ESBL)-producing E. coli strains isolated from wounded military personnel were sequenced and annotated.
Buffered Crossbar Fabrics Based on Networks on Chip

Buffered crossbar (CICQ) switches have shown a high potential in scaling Internet routers capacity. However, they require expensive on-chip buffers whose cost grows quadratically with the port count. Additionally, similar to traditional crossbars, point-to-point switching mandates the use of long wires to connect inputs to outputs, resulting in non-negligible delays. In this paper,we propose a CICQ switching architecture where the bufferedcrossbar fabric is designed using a Network on Chip (NoC). Instead of a dedicated buffer for every pair of input-outputports, we use on-chip routers, one for each crosspoint. Our design offers several advantages when compared to traditional CICQs: 1) speedup, because the fabric can operate faster due to the small size of the NoC routers, their distributed arbitration and the short wires connecting them. This is in contrast to single-hopcrossbars that use long wires and centralized arbitration. 2) Load balancing, because flows from different input-output port pairs share the same router buffers, contrary to the internal buffers of traditional CICQs that are dedicated to a single input-output pair. 3) Path diversity, allowing traffic from an input port to follow different paths to its destination output port. This resultsin further load balancing, especially for non-uniform traffic, and provides better fault tolerance in the presence of interconnect failures. We analyzed the performance of our architecture by simulation and presented its performance under wide traffic conditions and switch sizes. We prototyped, in CMOS technology, a 32×32 NoC-based crossbar switch. The implementation results suggest that we can clock the switch at a frequency of 413 MHZ, reaching an aggregate throughput in excess of 10^10 ATM cellsper second.
Temporal pattern of blood volume change in cerebral infarction: evaluation with dynamic contrast-enhanced T2*-weighted MR imaging.

OBJECTIVE The purposes of this study were to evaluate the temporal pattern of blood volume change in cerebral infarction and to provide a guideline in the interpretation of blood volume data, which are known to vary according to the stage of infarction. SUBJECTS AND METHODS Thirty-three patients with large middle cerebral infarctions were examined one to three times (one time in 20 patients, two times in eight patients, and three times in five patients) after the onset of stroke by dynamic contrast-enhanced T2*-weighted MR imaging and MR angiography. A total of 54 infarctions (29 in an acute stage [up to 7 days], 15 in a subacute stage [8-21 days], and 10 in a chronic stage [22-35 days]) were included. After blood volume maps were created, blood volume ratios (blood volume of the infarcted region divided by blood volume of corresponding contralateral region) were compared at different stages. Likewise, findings on MR angiography were compared at different stages. RESULTS Mean blood volume ratios in each stage of infarction were 0.46 in the acute stage, 1.48 in the subacute stage, and 0.73 in the chronic stage (p < .001). Recanalization of occluded arteries occurred in 21% of infarctions in the acute stage and 80% in the subacute stage. Infarctions with recanalization had higher blood volume ratios than did those without recanalization (p < .001). A biphasic pattern of blood volume ratios was found in 13 patients who underwent at least two MR examinations: increased blood volume in the subacute stage and decreased blood volume in the chronic stage, regardless of recanalization (p < .01). CONCLUSION Blood volume that initially decreases in cerebral infarction increases in the subacute stage, reflecting reperfusion hyperemia. Blood volume decreases again in the chronic stage. The time interval between onset of stroke and MR examination must be considered for correct interpretation of blood volume data in cerebral infarction at various stages.
A MACHINE LEARNING APPROACH TO BUILDING RECOGNITION IN AERIAL PHOTOGRAPHS

Object recognition and extraction have been of considerable research interest in digital photogrammetry for many years. As a result, many conventional tasks have been successfully automated but, despite some advances, the automatic extraction of buildings remains an open research question. Machine learning techniques have received little attention from the photogrammetric community in their search for methods of object extraction. While these techniques cannot provide all the answers, they do offer some potential benefits in the early stages of visual processing. This paper presents the results of an investigation into the use of machine learning in the form of a support vector machine. The images are characterized using wavelet analysis to provide multi-resolution data for the machine learning phase.
Meta-functional Languages for Hardware Design and Verification

General purpose functional languages have been widely used as host languages for the embedding of domain specific languages, especially for hardware description languages. The embedding approach provides various abstraction techniques, enabling the description of generators for whole families of circuits, in particular parameterised regular circuits. The two-stage language setting that is achieved by means of embedding, provides a means to reason about the generated circuits as data objects within the host language. Nonetheless, these circuit objects lack information about their generators, and about the manner in which these where generated. In this paper, we explore the use of a meta-programming language to extend the embedding approach thus enabling us to access the underlying circuit generators, and not just the circuits themselves. We show the applicability of this approach by using circuit generator analysis techniques to extract information from a hardware compiler to enable verification, through the use of model-checking, of compiler invariants. The main contribution of this paper is to show how automatic verification of whole families of circuits can be used in an embedded language setting to verify hardware compiler invariants.
A Model and Algorithm for Computing Minimum-Size Test Patterns

This paper addresses the problem of test pattern generation for single stuck-at faults in combinational circuits, under the additional constraint that the number of specified primary input assignments is minimized. This problem has different applications in testing, including the identification of don’t care conditions to be used in the synthesis of Built-In SelfTest (BIST) logic. The proposed solution is based on an integer linear programming (ILP) formulation which builds on an existing Propositional Satisfiability (SAT) model for test pattern generation. This ILP formulation is linear on the size of the original SAT model for test generation, which is linear on the size of the circuit. Nevertheless, the resulting ILP instances represent complex optimization problems, that require dedicated ILP algorithms. Preliminary results on benchmark circuits validate the practical applicability of the test pattern minimization model and associated ILP algorithm.