Miracle-dz/UniFAR-FTUs huggingface dataset:
Decreased expression of phosphorylated JNK in breast infiltrating ductal carcinoma is associated with a better overall survival

Phosphorylation/activation of c‐jun NH2‐terminal kinase (JNK) has an ambivalent role, pro‐proliferation or antiproliferation, in human cancers, which is determined by different cell types and by its crosstalk with other kinases. So far, the role of phosphorylated JNK (p‐JNK) in breast cancer is mostly undefined. In this study, we analyzed the expression of p‐JNK, as well as p‐ERK1/2 and p‐38, in the pair of cancer and noncancer breast tissues, by using immunoblotting techniques. These results were further correlated with the clinicopathological characteristics and overall survival. Decreased p‐JNK1/2 expression in cancer tissues was observed in 48.5% of breast infiltrating ductal carcinoma (IDC) cases and was correlated significantly with the increased tumor grade and the decreased age at diagnosis (p = 0.030 and 0.029). Interestingly, the Kaplan–Meier survival curve showed that the decreased p‐JNK1/2 expression was associated with a better overall survival of IDC (p = 0.004). The expression of p‐JNK1/2 was positively correlated with p‐p38 (p = 0.002), but not p‐ERK1/2. Furthermore, co‐expressed p‐JNK1/2 and p‐p38 was associated with a poor overall survival of IDC (p = 0.007). In conclusion, our results indicate that the aberrant p‐JNK1/2 expression and the co‐expressed p‐JNK1/2 and p‐p38 in breast tissues may play a role in the carcinogenesis of breast IDC. © 2005 Wiley‐Liss, Inc.
X-ray: Automating Root-Cause Diagnosis of Performance Anomalies in Production Software

Troubleshooting the performance of production software is challenging. Most existing tools, such as profiling, tracing, and logging systems, reveal what events occurred during performance anomalies. However, users of such toolsmust infer why these events occurred; e.g., that their execution was due to a root cause such as a specific input request or configuration setting. Such inference often requires source code and detailed application knowledge that is beyond system administrators and end users. This paper introduces performance summarization, a technique for automatically diagnosing the root causes of performance problems. Performance summarization instruments binaries as applications execute. It first attributes performance costs to each basic block. It then uses dynamic information flow tracking to estimate the likelihood that a block was executed due to each potential root cause. Finally, it summarizes the overall cost of each potential root cause by summing the per-block cost multiplied by the cause-specific likelihood over all basic blocks. Performance summarization can also be performed differentially to explain performance differences between two similar activities. X-ray is a tool that implements performance summarization. Our results show that X-ray accurately diagnoses 17 performance issues in Apache, lighttpd, Postfix, and PostgreSQL, while adding 2.3% average runtime overhead.
Youth Time Outside

Abstract Significant public attention has been given to the perceived lack of youth time spent outside. Diverse approaches make it difficult to develop consensus around youth time-use patterns and guide efforts to get kids outside. The purpose of this study was to compare results of a 7-day time diary used to document adolescent outdoor time with results from other time-use methodologies. Seventh graders (N=43) were selected to complete week-long time-use diaries and recall surveys. Time diary estimates were compared to an online survey, a simulated two-day time diary, and a simulated experience sampling. Results suggested that differences existed between time outside recorded in time diaries and recall survey. Using two days of diary data or experience sampling was more comparable.
Maxima of moving sums in a Poisson random field

In this paper we examine the extremal tail probabilities of moving sums in a marked Poisson random field. These sums are computed by adding up the weighted occurrences of events lying within a scanning set of fixed shape and size. We also provide an alternative representation of the constants of the asymptotic formulae in terms of the occupation measure of the conditional local random field at zero, and extend these representations to the constants of asymptotic tail probabilities of Gaussian random fields.
An 86% Efficiency 12 µW Self-Sustaining PV Energy Harvesting System With Hysteresis Regulation and Time-Domain MPPT for IOT Smart Nodes

This paper presents a fully-integrated μW-level photovoltaic (PV) self-sustaining energy harvesting system proposed for smart nodes of Internet of Things (IOT) networks. A hysteresis regulation is designed to provide a constant 3.3 V output voltage for a host of applications, including powering sensors, signal processors, and wireless transmitters. Due to the stringent power budget in IOT scenarios, the power consumption of the harvesting system is optimized by multiple system and circuit level techniques. Firstly, the hill-climbing MPPT mechanism reuses and processes the information of the hysteresis controller in the time-domain and is free of power hungry analog circuits. Secondly, the typical power-performance tradeoff of the hysteresis controller is solved by a self-triggered one-shot mechanism. Thus, the output regulation achieves high-performance and yet low-power operations. Thirdly, to execute the impedance tuning of MPPT, the capacitor value modulation (CVM) scheme is proposed instead of the conventional frequency modulation scheme, avoiding quiescent power consumption. Utilizing a commercial PV cell of 2.5 cm 2 , the proposed system provides 0-21 μW output power to the IOT smart nodes. Measured results showed that the PV harvesting system achieved both ultra-low power operation capability at 12 μW and a peak self-sustaining efficiency of 86%.
When Sex and Romance Conflict: The Effect of Sexual Imagery in Advertising on Preference for Romantically Linked Products and Services

Sex is ubiquitous in advertising, yet little research has explored the effect of exposure to sexual imagery on preferences. Although sex and romance tend to go together in real-world relationships, the authors find that exposure to sex-based ads decreases preference for romantically linked products and services in men. Furthermore, the authors find that the effect is one directional, such that exposure to romantic imagery in ads does not decrease men's preference for sex-related products. Finally, the authors find that exposure to sex-based ads does not lead to a decreased preference for romantically linked products in women. The authors explain this pattern of results through the relatively opportunistic nature of the sex drive in men. They close with a discussion about implications for theories of fundamental motives and for the effect of sex-based advertisements on dating and relationships.
Heuristics for Semirandom Graph Problems

We consider semirandom graph models for finding large independent sets, colorings, and bisections in graphs. These models generate problem instances by blending random and adversarial decisions. To generate semirandom independent set problems, an independent set S of ? n vertices is randomly chosen. Each edge connecting S with S is chosen with probability p, and an adversary is then allowed to add new edges arbitrarily, provided that S remains an independent set. The smaller p is, the greater the control the adversary has over the semirandom graph. We give a heuristic that with high probability recovers an independent set of size ? n whenever p> (1+? )lnn/? n, for any constant ? >0. We show that when p<(1? )lnn /? n, an independent set of size |S| cannot be recovered, unless NP? BPP. We use our result for maximum independent sets to obtain greatly improved heuristics for the model of k-colorable semirandom graphs introduced by Blum and Spencer. For constant k, our results are optimal up to constant factors in the edge probabilities. In the semirandom model for graph bisection, a random bisection (S, S) of the vertices is chosen. Each edge (u, v)? S×S is independently chosen with probability q and each edge (u, v)? S×S is independently chosen with probability pq. The adversary may then arbitrarily remove edges in S×S and add edges not in S×S. Extending the work of Boppana, we give a heuristic that recovers this bisection with high probability when p? q? cplogn/n, for c a sufficiently large constant.
A variable scale approach for neighbor search in point cloud data

An algorithm for selecting nearest neighbors at a variable scale rather than a fixed search radius in point cloud neighbor search is proposed in this paper. We employ the concepts in differential geometry and divide the point cloud into different clusters according to their surface types. Not only the distance metric but also the clusters' surface type is taken into condition when we search the neighbors of a certain point. This results in a variable scale in nearest neighbor search which can preserve good enough details even using a big scale as well as reduce side effects of noise data caused by using a small scale. The proposed algorithm is tested with the data of Stanford Bunny by simulation. Its effectiveness is confirmed by the experiments.
Spectroscopic detection of quasars in the 2dF Galaxy Redshift Survey

The 100 000 spectra from the 2 degree Field Galaxy Redshift Survey (2dFGRS) in the 100k Public Data Release represent the largest single compilation of galaxy spectra available. By virtue of its sheer size and the properties of the photometric catalogue that defines the sample, the 2dFGRS is expected to contain a number of potentially interesting objects other than galaxies. A search of the spectra in the 100k Data Release results in a census of 55 candidate high-redshift (z greater than or equal to0.3) quasars. One additional 2dFGRS spectrum of a low-redshift galaxy shows an apparent anomalous broad emission feature perhaps indicating the presence of a gravitationally lensed quasar. These objects have been identified primarily using two automated routines that we have developed specifically for this task, one of which uses a matched filter and the other a wavelet transform. A number of the quasar images possess complicated morphologies, suggesting the presence of either diffuse foreground objects along the line of sight or very nearby point sources. The quasar catalogue will form a target list for future absorption and lensing studies, as well as providing an assessment of the loss of quasars with non-stellar images from the companion 2dF QSO Redshift Survey.
Maternal Expectations For Mastery of Developmental Tasks In Japan And The United States

Abstract Maternal expectations about development help organize parental behavior by providing internal referents against which a child's growth and behavior are evaluated, thus identifying occasions for intervention by the adult. Fifty-eight mothers from Japan and 67 mothers from the United States were interviewed about the ages at which they expected their four-year-old children to acquire a number of specific developmental skills. There were no differences between the two groups of mothers in mean age of mastery expectation across all 38 items but Japanese mothers expected early mastery on skills that indicated emotional maturity, self-control, and social courtesy. Mothers in the U.S. expected mastery at an earlier age on items indicating verbal assertiveness and social skills with peers. Maternal expectations were found to correlate with children's performance on tests of school aptitude when the children were six years of age.
Are football referees really biased and inconsistent? Evidence from the English Premier League

This paper presents a statistical analysis of patterns in the incidence of disciplinary sanction (yellow and red cards) taken against players in the English Premier League over the period 1996-2003, using bivariate negative binomial and bivariate Poisson regressions. Several questions concerning sources of inconsistency and bias in refereeing standards are examined. Evidence is found to support a time consistency hypothesis, that the average incidence of disciplinary sanction is predominantly stable over time. However, a refereeing consistency hypothesis, that the incidence of disciplinary sanction does not vary between referees, is rejected. The tendency for away teams to incur more disciplinary points than home teams cannot be attributed to the home advantage effect on match results, and appears to be due to a refereeing bias favouring the home team.
Predictors of Maternal Fetal Attachment among Pregnant Women

Introduction: Maternal-fetal attachment (MFA) is defined as the affectionate relationship that pregnant women develop for their unborn child. This complex, multi-dimensional relationship is thought to be fundamentally predicts mother and the baby's health status after birth. Thus, it is important to pay more attention into the predictive factors that promoting MFA in childbearing women. Aim of the study: to find out the predictors of maternal fetal attachment among pregnant women Materials & Method: Research design: A descriptive research design was utilized in this study. Setting: This study was conducted at the outpatient clinic of antenatal unit at El-Shatby Maternity Hospital. Subjects: convenience sample of 350 pregnant women attending the previously mentioned setting were recruited in the study. Tools: five tools were used to collect the necessary data: tool (I): Pregnant Women Basic Data Structured Interview Schedule, tool (II): Anxiety Inventory, tool (III): Social Support Structured Interview Schedule and tool (IV): Verbal Maternal-Fetal Attachment (VMFA) structured interview schedule and tool (V): The Pictorial Representation of Attachment Measure (PRAM). Results: More than threequarters (81.4%) of the study subjects had high attachment level compared to only 13.4 % were moderately attached. a statistically significant positive correlation was noticed between subjects’ level of overall maternal-fetal attachment and their level of perceived social support (P =0.001) Conclusion: Maternal-fetal attachment level was associated with some predictive factors. Namely, maternal age, gravidity, planned /desired pregnancies, identification of the fetal sex, time of the initial antenatal visit, number of antenatal visits and presence of social support Key terms: maternal fetal attachment, anxiety, social support
Racial Disparagement Humor Appreciation and Social Power Value Motivation

Humor that puts down others is prevalent in many cultures. The study investigated a theory proposed by Freud (1960) which claims that disparagement humor is actually a guised expression of power-seeking impulses. Using the Schwartz Values Survey (1992)—which identified “Social Power” as one of fifty-six motivational goals—and a multiple senses of humor scale, it was confirmed that social power value motivation correlated with appreciation for racial disparagement humor. Further, African Americans disliked racial disparagement humor more than non-African Americans; social power value motivation correlated significantly with dark/arousal humor, however this relationship disappeared when looking at the non-Black subsample; the relationship between social power value motivation and racial disparagement humor disappeared when examining only the African American participants. The results suggest that majority ethnicity groups may enjoy racial disparagement humor as an expression of social power motivation, while minority groups may gain social power through “taboo” humor (i.e., dark/arousal).
Orientations to Academic Workloads at Department Level

Universities confront many challenges in their efforts to manage staff activity with the aid of workload assessment and allocation systems. This article sets out fresh perspectives from an exploratory study designed to uncover patterns of subjective views about various aspects of workloads. Using Q methodology, academic staff in a single department provided composite pictures of the intensity of their views on workload policies and systems, and about their experiences of workloads. Factor analysis, interpreted with the aid of interviews, reveals three orientations based on traditional independent scholarship, collectivism, and stress and overwork. Together, the three orientations in one department show evidence of a generational shift, with leadership implications. Looking ahead, workload allocation systems may need to give weight to personal choice and to consider ways to credit shared work in ways that fit the contemporary university environment.
An IoT based remote HRV monitoring system for hypertensive patients

Heart Rate Variability (HRV) is a measure of variation in the time interval between consecutive heart beats. HRV analysis is highly sensitive for risks linked with Cardiovascular disease, Diabetic Mellitus, disease states associated with Autonomic Dysrhythmia such as Hypertension and a large array of chronic degenerative medical condition. Sensitivity of HRV towards various medical condition accounts for its increased usage by doctors as a diagnostic, prognostic tool and to evaluate the effectiveness of the treatment offered. Often borderline hypertensive patients with and without history of a cardiac event are subjected to stroke as well as cardiac mortality at high risk. Monitoring of HRV parameters for such cases of high risk will prove useful in providing adequate medical care at needed times. In this paper, the authors propose a low-cost and easy to use Remote HRV Monitoring System based on the Internet of Things (IoT) technology for borderline Hypertensive patients. In the proposed system, HRV parameters are derived using Wireless Zigbee based pulse sensor. Arduino transmits patient data to server using MQTT protocol. The application server collects HRV data and plots graphs. In case of an emergency situation, the care taker and doctor are intimated through Short Message Service (SMS) for providing adequate medical help. While there are currently no HRV analysis systems that alerts at times of high risk for hypertensive patients along with the aid of a remote doctor, the proposed system aims at achieving the same. The proposed system combines the dual benefits of Zigbee and WiFi technology. By doing so, it successfully fulfils all the ideal traits of a remote health monitoring system in terms of low-cost, long range, security, promptness and easy-to-use that serves in saving lives.
A Hybrid Double-Threshold Based Cooperative Spectrum Sensing over Fading Channels

This paper investigates double-threshold-based energy detector for cooperative spectrum sensing mechanisms in cognitive wireless radio networks. We first propose a hybrid double-threshold-based energy detector (HDTED) to improve the sensing performance at secondary users (SUs) by exploiting both the local binary/energy decisions and global binary decisions feedback from the fusion center (FC). Significantly, we derive closed-form expressions and bounds for the probabilities of missed detection and false alarm considering a practical scenario where all channel links suffer from Rayleigh fading and background noise. The derived expressions not only show the improved performance achieved with the HDTED scheme but also enable us to analyze the impacts of the number of the SUs and the fading channels on the cooperative spectrum sensing performance. Furthermore, based on the derived bounds, we propose an optimal SU selection algorithm for forwarding the local decisions to the FC, which helps reduce the number of forwarding bits for a lower-complexity signaling. Finally, numerical results are provided to demonstrate the validity of the analytical findings.
Time Petri Nets with Action Duration: A True Concurrency Real-Time Model

The design of real-time systems needs a high-level specification model supporting at the same time timing constraints and actions duration. The authors introduce in this paper an extension of Petri Nets called Time Petri Nets with Action Duration DTPN where time is associated with transitions. In DTPN, the firing of transitions is bound to a time interval and transitions represent actions which have explicit durations. The authors give an operational semantics for DTPN in terms of Durational Action Timed Automata DATA. DTPN considers both timing constraints and durations under a true-concurrency semantics with an aim of better expressing concurrent and parallel behaviours of real-time systems.
Researching Embodiment by Way of ‘Body Techniques’

In this chapter I reflect upon the importance of Marcel Mauss’ concept of ‘body techniques’ for facilitating an empirical analysis of embodiment. I begin by arguing that sociology is not guilty of mind/body dualism, in the philosophical sense, but tends rather to take the embodiment of actions and practices for granted and thus to overlook it, much as Leder suggests happens more generally in everyday, lay experience. It is the purpose, knowledge-base and normativity of actions and practices that has tended to be thematized in sociology, I observe. The importance of Mauss’ concept, I continue, is that it thematizes embodiment, simultaneously drawing attention to the socio-cultural variability of particular ways of acting, without losing sight of purpose, knowledge or normativity. Indeed it draws all of these aspects of action together. Having made these points in an abstract manner, the chapter attempts to show how this innovation can and has shaped empirical work in social science. An empirical focus upon body techniques, I suggest, facilitates an empirical engagement with the embodiment of the social world.
Machine learning for complex EMI prediction, optimization and localization

The electromagnetic interference (EMI) problem of extra-high speed electronic devices and systems is becoming more complex with an increase of operating frequency. The conventional analysis and design methods could not cope with the current EMI problems. Advanced analysis and design methods are desired. Deep neural network (DNN) and Bayesian optimization algorithm (BOA) based on machine learning are utilized in prediction of EMI radiation, optimization of design parameters and localization of EMI sources. The feasibility of DNN and BOA is investigated and validated. The steps of using DNN and BOA are proposed in the paper.
The Type VI Secretion System: A Dynamic System for Bacterial Communication?

Numerous studies in Gram-negative bacteria have focused on the Type VI Secretion Systems (T6SSs), Quorum Sensing (QS), and social behavior, such as in biofilms. These interconnected mechanisms are important for bacterial survival; T6SSs allow bacteria to battle other cells, QS is devoted to the perception of bacterial cell density, and biofilm formation is essentially controlled by QS. Here, we review data concerning T6SS dynamics and T6SS–QS cross-talk that suggest the existence of inter-bacterial communication via T6SSs.
Improved protein structural class prediction using genetic algorithm and artificial immune system

Predicting the structure of a protein from primary sequence is one of the challenging problems in Molecular biology. In this context, protein structural class information provides a key idea of their structure and also other features related to the biological function. In this paper we present a new optimization approach based on Genetic algorithm (GA) and artificial immune system (AIS) for predicting the protein structural class. It uses the maximum component coefficient principle in association with the amino acid composition feature vector to efficiently classify the protein structures. The effectiveness is evaluated by comparing the results with that obtained from other existing methods using a standard database. Especially for all α and α + β class protein, the rate of accurate prediction by the proposed methods is much higher than their counterparts.