Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing Preterm and Term Newborns Serum Adiponectin and Leptin Concentrations and their Correlations with Anthropometric Parameters

Abstract Introduction: Serum adipocytokines concentration, their mutual relationship and correlations with anthropometric data could be indicators of fetal and neonatal growth maturity level in term and preterm infants. Objectives: Study was designed to assess the correlation of the anthropometric parameters with leptin and adiponectin levels in healthy preterm and term newborns. Design and Methods: A cohort of 110 neonates of both sexes, born pre term (PT) (n=36) or at term (AT) (n=74), additionally classified as AT-AGA (n=36), AT-SGA (n=18), AT-LGA (n=20) and PT-AGA (n=24), PT-SGA (n=12), according to the Lubchenco curves Mother Body Mass Index-MBMI, Birth Weight-BW, Birth Length-BL, Body Weight/Body Length ratio-BW/BL, Body Mass Index-BMI, Ponderal Index-PI, was recorded after birth. Results: Sex has no influence on mean serum leptin and adiponectin level. However, differences between AT and PT groups were highly (p<0.01) significant (2.20 ± 1.02; 30.77 ± 22.64 and 1.24 ± 0.35; 9.44 ± 4.82 ng/mL, respectively). Significant difference was found in adiponectin levels between ATAGA and AT-LGA compared to AT-SGA subgroup (32.8 ± 25.41 and 43.40 ± 16.98 vs 12.67 ± 2.45 ng/ mL, respectively, (p<0.01; p<0.01). There was a significant difference between leptin levels (1.93 ± 0.70; 1.71 ± 0.53 vs 3.12 ± 1.27 ng/mL) in AT-AGA and AT-SGA compared to AT-LGA newborns, respectively, (p<0.01; p<0.01). No significant differences were found in leptin and adiponectin levels neather between PT subgroups (1.30 ± 0.38 ng/mL) nor between PT group and AT-SGA (1.71 ± 0.53 ng/mL) subgroup. Leptin and adiponectin levels were positively correlated with all anthropometric parameters: BW, BL, BW/BL, BMI, and PI (p<0.05). Conclusion: These results indicate that the stage of body growth maturity is positively correlated to adipocytokines involved in fetal growth regulation.
An evaluation of the relationship between mood and binge eating in the natural environment using ecological momentary assessment.

OBJECTIVE Although many current theories of disordered eating focus on affective mechanisms, relatively little is known about the covariation of mood and eating in peoples' natural environments. This study examined the relationship between mood and binge eating behavior in the natural environment. METHOD Twenty-seven college students with subclinical binge eating behavior self-monitored their mood on a handheld computer seven times daily for 2 weeks. RESULTS On binge days, participants reported having significantly worse mood than on nonbinge days. When the trajectory of mood around the time of a binge was examined, no significant differences between prebinge and postbinge time were found when the entire binge day was examined. No mood differences were found between just prior to the binge (30-60 min prior to binge) compared with just after the binge (also within 30-60 min). A postbinge report indicated that reported mood immediately after a binge was worse than mood just prior to the binge. DISCUSSION This study provides evidence that the affective experience of binge eating, when assessed in the natural environment, is negative. Furthermore, there was no evidence that binge eating was a response to an immediate or transient negative mood state or that binge eating provided relief from negative mood.
Toward a robotic attendant adaptively behaving according to human state

This research aims to develop a robot which can adaptively attend a specific person according to the person's behavior. Transition of the person's state is modeled with finite state machine (FSM), and the robot recognizes events for the state transitions and selects an appropriate attending action for each state. We implemented attending actions for the person's walking and the sitting actions. When a person is walking, the robot takes a following action. When the person is sitting, the robot moves to a waiting position determined by considering the comfort of the person and the others. We carried out attending experiments using a real robot to show the effectiveness of the proposed approach.
Toward understanding the rhetoric of small source code changes

Understanding the impact of software changes has been a challenge since software systems were first developed. With the increasing size and complexity of systems, this problem has become more difficult. There are many ways to identify the impact of changes on the system from the plethora of software artifacts produced during development, maintenance, and evolution. We present the analysis of the software development process using change and defect history data. Specifically, we address the problem of small changes by focusing on the properties of the changes rather than the properties of the code itself. Our study reveals that 1) there is less than 4 percent probability that a one-line change introduces a fault in the code, 2) nearly 10 percent of all changes made during the maintenance of the software under consideration were one-line changes, 3) nearly 50 percent of the changes were small changes, 4) nearly 40 percent of changes to fix faults resulted in further faults, 5) the phenomena of change differs for additions, deletions, and modifications as well as for the number of lines affected, and 6) deletions of up to 10 lines did not cause faults.
Deep adaptive networks for image classification

This paper proposes a novel classifier called Deep Adaptive Networks (DAN) with deep architecture for image classification. First, we construct a deep and directed belief nets using a set of Restricted Boltzmann Machines (RBM) via greedy and layer-wise unsupervised learning. Then, we refine the parameter space of the deep architecture to adapt the classification demand using global gradient-descent based supervised learning. An exponential loss function is utilized to maximize the separability. Experiments on two real-world image datasets show that the proposed classifier outperforms the representative classification techniques and the existing deep learning methods.
Simulation of random processes and rate-distortion theory

We study the randomness necessary for the simulation of a random process with given distributions, on terms of the finite-precision resolvability of the process. Finite-precision resolvability is defined as the minimal random-bit rate required by the simulator as a function of the accuracy with which the distributions are replicated. The accuracy is quantified by means of various measures: variational distance, divergence, Orstein (1973), Prohorov (1956) and related measures of distance between the distributions of random process. In the case of Ornstein, Prohorov and other distances of the Kantorovich-Vasershtein type, we show that the finite-precision resolvability is equal to the rate-distortion function with a fidelity criterion derived from the accuracy measure. This connection leads to new results on nonstationary rate-distortion theory. In the case of variational distance, the resolvability of stationary ergodic processes is shown to equal entropy rate regardless of the allowed accuracy. In the case of normalized divergence, explicit expressions for finite-precision resolvability are obtained in many cases of interest; and connections with data compression with minimum probability of block error are shown.
Three dimensions of scheduling

Three Dimensions of Scheduling by Frank Bellosa The research presented in this dissertation has concentrated on the gathering and usage of memory access patterns in the area of user-level as well as kernel-level scheduling, yet covering both time-sharing and real-time aspects. Beside the questions when a task has to be executed and which CPU should be used, the freedom of scheduling is enlarged to a third dimension, the speed of execution. To alleviate the cache effects perceivable after a context switch, Follow-On Scheduling extracts information gathered by the virtual memory subsystem to identify threads which share many pages. These related threads are scheduled so that they follow upon each other when being executed.The benefit of using memory access patterns on the coarse level of page access lies in the reduction of the number of cache misses a thread experiences after the switch if a related thread has run on the same CPU before. The trade-off between scheduling overhead and performance gain due to better locality of reference favors strategies using memory access patterns on the level of cache access in architectures with non-uniform memory access. A promising strategy using cache-miss information is based on a Markov model to estimate the cost to establish a thread’s footprint in the cache after restarting it. This strategy offers the best process reordering and makes a fine-grained architecture-independent programming style possible. A novel approach, calledProcess Cruise Control, effectively isolates real-time threads from the timing and memory-access characteristics of other threads running on different processing units in a multiprocessor environment. Process Cruise Control avoids the malicious effects of memory preemption by a complete memorybandwidth reservation scheme based on information derived from memory-access counters in the hardware. The execution speed of soft real-time applications is maintained while other applications with high memory demands are throttled in their speed of execution.
The v-Src SH3 Domain Facilitates a Cell Adhesion-independent Association with Focal Adhesion Kinase*

Integrins facilitate cell attachment to the extracellular matrix, and these interactions generate cell survival, proliferation, and motility signals. Integrin signals are relayed in part by focal adhesion kinase (FAK) activation and the formation of a transient signaling complex initiated by Src homology 2 (SH2)-dependent binding of Src family protein-tyrosine kinases to the FAK Tyr-397 autophosphorylation site. Here we show that in viral Src (v-Src)-transformed NIH3T3 fibroblasts, an adhesion-independent FAK-Src signaling complex occurs. Co-expression studies in human 293T cells showed that v-Src could associate with and phosphorylate a Phe-397 FAK mutant at Tyr-925 promoting Grb2 binding to FAK in suspended cells. In vitro, glutathioneS-transferase fusion proteins of the v-Src SH3 but not c-Src SH3 domain bound to FAK in lysates of NIH3T3 fibroblasts. The v-Src SH3-binding sites were mapped to known proline-X-X-proline (PXXP) SH3-binding motifs in the FAK N- (residues 371–377) and C-terminal domains (residues 712–718 and 871–882) by in vitropull-down assays, and these sites are composed of a PXXPXXΦ (where Φ is a hydrophobic residue) v-Src SH3 binding consensus. Sequence comparisons show that residues in the RT loop region of the c-Src and v-Src SH3 domains differ. Substitution of c-Src RT loop residues (Arg-97 and Thr-98) for those found in the v-Src SH3 domain (Trp-97 and Ile-98) enhanced the binding of distinct NIH3T3 cellular proteins to a glutathione S-transferase fusion protein of the c-Src (Trp-97 + Ile-98) SH3 domain. FAK was identified as a c-Src (Trp-97 + Ile-98) SH3 domain target in fibroblasts, and co-expression studies in 293T cells showed that full-length c-Src (Trp-97 + Ile-98) could associate in vivo with Phe-397 FAK in an SH2-independent manner. These studies establish a functional role for the v-Src SH3 domain in stabilizing an adhesion-independent signaling complex with FAK.
KlebSeq: A Diagnostic Tool for Healthcare Surveillance and Antimicrobial Resistance Monitoring of Klebsiella pneumoniae

Healthcare-acquired infections (HAIs) kill tens of thousands of people each year and add significantly to healthcare costs. Multidrug resistant and epidemic strains are a large proportion of HAI agents, and multidrug resistant strains of Klebsiella pneumoniae, a leading HAI agent, have become an urgent public health crisis. In the healthcare environment, patient colonization of K. pneumoniae precedes infection, and transmission via colonization leads to outbreaks. Periodic patient screening for K. pneumoniae colonization has cost-effective and life-saving potential. In this study, we describe the design and validation of KlebSeq, a highly informative screening tool that detects Klebsiella species and identifies clinically important strains and characteristics using highly multiplexed amplicon sequencing without a live culturing step. We demonstrate the utility of this tool on several complex specimen types including urine, wound swabs and tissue, several types of respiratory, and fecal, showing K. pneumoniae species and clonal group identification and antimicrobial resistance and virulence profiling, including capsule typing. Use of this amplicon sequencing tool can be used to screen patients for K. pneumoniae carriage to assess risk of infection and outbreak potential, and the expansion of this tool can be used for several other HAI agents or applications.
Fault detection based on SVDD and cluster algorithm

As abnormal samples are difficult to obtain in the field of fault detection, a fault detection model based on support vector data description (SVDD) algorithm and Cluster algorithm is presented in this paper. It is the improvement of traditional SVDD algorithm. Firstly, K-MEANS classification method is used to cluster the normal bearing vibration signal samples. Then SVDD algorithm is applied to describe the clustered data distribution. It can make up the defect that the training samples are not concentrated so the traditional SVDD contains non-self space samples causing the poor description. ROC criterion is used to compare with the other commonly used fault detection method. The experiment results verify the correctness and effectiveness of the algorithm and the method is especially for fault detection application.
Generating Cross-References for Multimedia Explanation

When explanations include multiple media, such as text and illustrations, a reference to an object can be made through a combination of media. We call part of a presentation that references material elsewhere a cross-reference. We are concerned here with how textual expressions can refer to parts of accompanying illustrations. The illustration to which a cross-reference refers should also satisfy the specific goal of identifying an object for the user. Thus, producing an effective cross-reference not only involves text generation, but may also entail modifying or replacing an existing illustration and in some cases, generating an illustration where previously none was needed. In this paper, we describe the different types of cross-references that COMET (COordinated Multimedia Explanation Testbed) generates and show the roles that both its text and graphics generators play in this process.
Towards collaborative task and team maintenance

There is significant interest in modeling teamwork in agents. In recent years, it has become widely accepted that it is possible to separate teamwork from taskwork, providing support for domain-independent teamwork at an architectural level, using teamwork models. However, existing teamwork models (both in theory and practice) focus almost exclusively on achievement goals, and ignore maintenance goals, where the value of a proposition is to be maintained over time. Such maintenance goals exist both in taskwork (i.e., agents take actions to maintain a condition while a task is executing), as well as in teamwork (i.e., agents take actions to maintain the team). This paper presents mechanisms for collaborative maintenance in both taskwork and teamwork, allowing for flexible selection of the maintenance protocol. The mechanism is integrated and evaluated in two teamwork architectures for situated agent teams: DIESEL, an implemented teamwork and taskwork architecture, built on top of Soar, and BITE, an architecture for physical behavior-based robots. We provide details of these implementations, and the results from experiments demonstrating the benefits of support for collaborative maintenance processes, in several dynamic rich domains. We show that the use of collaborative maintenance leads to significant improvement in task performance in all domains.
StackMap: Low-Latency Networking with the OS Stack and Dedicated NICs

StackMap leverages the best aspects of kernel-bypass networking into a new low-latency Linux network service based on the full-featured TCP kernel implementation, by dedicating network interfaces to applications and offering an extended version of the netmap API as a zero-copy, low-overhead data path while retaining the socket API for the control path. For small-message, transactional workloads, StackMap outperforms baseline Linux by 4 to 80% in latency and 4 to 391% in throughput. It also achieves comparable performance with Seastar, a highly-optimized user-level TCP/IP stack for DPDK.
ErbB1-4-dependent EGF/neuregulin signals and their cross talk in the central nervous system: pathological implications in schizophrenia and Parkinson's disease

Ligands for ErbB1-4 receptor tyrosine kinases, such as epidermal growth factor (EGF) and neuregulins, regulate brain development and function. Thus, abnormalities in their signaling are implicated in the etiology or pathology of schizophrenia and Parkinson's disease. Among the ErbB receptors, ErbB1, and ErbB4 are expressed in dopamine and GABA neurons, while ErbB1, 2, and/or 3 are mainly present in oligodendrocytes, astrocytes, and their precursors. Thus, deficits in ErbB signaling might contribute to the neurological and psychiatric diseases stemming from these cell types. By incorporating the latest cancer molecular biology as well as our recent progress, we discuss signal cross talk between the ErbB1-4 subunits and their neurobiological functions in each cell type. The potential contribution of virus-derived cytokines (virokines) that mimic EGF and neuregulin-1 in brain diseases are also discussed.
Misleading postevent information and working memory capacity: an individual differences approach to eyewitness memory

The present study examines how individual differences in working memory capacity relate to the effect of misleading postevent information on memory for the original event. Participants were shown a film of a crime event and were then asked to unscramble a narrative that included misinformation regarding some of the film's details. Additionally, the working memory capacity of the participants was measured using the operation-word span task. Finally, in a free recall test, participants recalled fewer correct details in the misinformation condition compared to the control condition. This effect was negatively correlated with working memory capacity. Copyright © 2002 John Wiley & Sons, Ltd.
Multiuser and Multirelay Cognitive Radio Networks Under Spectrum-Sharing Constraints

In this paper, the outage behavior of dual-hop multiuser multirelay cognitive radio networks under spectrum-sharing constraints is investigated. In the proposed cognitive radio network, the secondary network is composed of one secondary-user (SU) source that communicates with one out of L destinations through a direct link and also via the help of one out of N relays by using an efficient relay-destination selection scheme. Additionally, a selection combining (SC) scheme to select the best link (direct or dual-hop link) from the SU source is employed at the selected SU destination. Adopting an underlay approach, the SU communication is performed accounting for an interference constraint, where the overall transmit power is governed by the interference at the primary-user (PU) receiver, as well as by the maximum transmission power available at the respective nodes. Closed-form expressions for the outage probability are derived, from which an asymptotic analysis reveals that the diversity order of the considered system is not affected by the interference and is equal to N + L for both decode-and-forward (DF) and amplify-and-forward (AF) relaying protocols. The analytical results are corroborated by Monte Carlo simulations, and insightful discussions are provided.
Two-mode navigation method for low-cost inertial measurement unit-based indoor pedestrian navigation

The traditional inertial navigation system-based indoor pedestrian navigation method is not suitable to all the conditions, since its data fusion model is designed only for a single condition. In order to achieve better performance, a two-mode navigation method for indoor pedestrian navigation is proposed in this work, which includes the stance mode and the swing mode. When the person’s foot is in a stance phase, the stance mode is used to correct the velocity error and yaw error. When the person’s foot is in a swing phase, the swing mode works and only the yaw error is able to be corrected. For verification, a real indoor test has been done to assess the performance of the proposed two-mode method. The position root-mean-square error (RMSE) value is 1.9265 m during a 176-m traverse, and the RMSE of yaw is 0.20734 rad. These results demonstrate that our method is effective to reduce the error compared with the conventional schemes.
Baculovirus p 33 Binds Human p 53 and Enhances p 53-Mediated Apoptosis

In vertebrates, p53 participates in numerous biological processes including cell cycle regulation, apoptosis, differentiation, and oncogenic transformation. When insect SF-21 cells were infected with a recombinant of the baculovirus Autographa californica nuclear polyhedrosis virus (AcMNPV) overexpressing human p53, p53 formed a stable complex with the product of the AcMNPV orf92, a novel protein p33. The interaction between p53 and p33 was further confirmed by immunoprecipitation studies. When individually expressed in SF-21 cells, human p53 localized mainly in the nucleus whereas baculovirus p33 displayed diffuse cytoplasmic staining and punctuate nuclear staining. However, coexpression of p33 with p53 resulted in exclusive nuclear localization of p33. In both SF-21 and TN-368 cells, p53 expression induced typical features of apoptosis including nuclear condensation and fragmentation, oligonucleosomal ladder formation, cell surface blebbing, and apoptotic body formation. Coexpression of p53 with a baculovirus inhibitor of apoptosis, p35, OpIAP, or CpIAP, blocked apoptosis, whereas coexpression with p33 enhanced p53-mediated apoptosis approximately twofold. Expression of p53 in SF-21 cells stably expressing OpIAP inhibited cell growth in the presence or absence of p33. Thus, human p53 can influence both insect cell growth and death and baculovirus p33 can modulate the death-inducing effects of p53.
Acquisition and embodiment of motion elements in closed mimesis loop

It is needed for humanoid to acquire not only just a trajectory but also aim of the behavior and symbolic information during behavior development. We (2001) have proposed the mimesis system as a framework of synchronous learning model for behavior acquisition and symbol emergence. However, the motion elements which are fundamental representation of behavior have stood on the unsuitable assumption that they are given without taking the robot embodiment and dynamics into consideration. In this paper, the design theory of motion elements with consideration of the embodiment are shown, and novel methods of realization of the mimesis for real humanoids is proposed.