Miracle-dz/UniFAR-FTUs huggingface dataset:
Feedback control of the metaphase-anaphase transition in sea urchin zygotes: role of maloriented chromosomes

To help ensure the fidelity of chromosome transmission during mitosis, sea urchin zygotes have feedback control mechanisms for the metaphase- anaphase transition that monitor the assembly of spindle microtubules and the complete absence of proper chromosome attachment to the spindle. The way in which these feedback controls work has not been known. In this study we directly test the proposal that these controls operate by maloriented chromosomes producing a diffusible inhibitor of the metaphase-anaphase transition. We show that zygotes having 50% of their chromosomes (approximately 20) unattached or monoriented initiate anaphase at the same time as the controls, a time that is well within the maximum period these zygotes will spend in mitosis. In vivo observations of the unattached maternal chromosomes indicate that they are functionally within the sphere of influence of the molecular events that cause chromosome disjunction in the spindle. Although the unattached chromosomes disjoin (anaphase onset without chromosome movement) several minutes after spindle anaphase onset, their disjunction is correlated with the time of spindle anaphase onset, not the time their nucleus breaks down. This suggests that the molecular events that trigger chromosome disjunction originate in the central spindle and propagate outward. Our results show that the mechanisms for the feedback control of the metaphase-anaphase transition in sea urchin zygotes do not involve a diffusible inhibitor produced by maloriented chromosomes. Even though the feedback controls for the metaphase- anaphase transition may detect the complete absence of properly attached chromosomes, they are insensitive to unattached or mono- oriented chromosomes as long as some chromosomes are properly attached to the spindle.
Modeling Guidelines for Integration into Clinical Workflow

The success of clinical decision-support systems requires that they are seamlessly integrated into clinical workflow. In the SAGE project, which aims to create the technological infra-structure for implementing computable clinical practice guide-lines in enterprise settings, we created a deployment-driven methodology for developing guideline knowledge bases. It involves (1) identification of usage scenarios of guideline-based care in clinical workflow, (2) distillation and disambiguation of guideline knowledge relevant to these usage scenarios, (3) formalization of data elements and vocabulary used in the guideline, and (4) encoding of usage scenarios and guideline knowledge using an executable guideline model. This methodology makes explicit the points in the care process where guideline-based decision aids are appropriate and the roles of clinicians for whom the guideline-based assistance is intended. We have evaluated the methodology by simulating the deployment of an immunization guideline in a real clinical information system and by reconstructing the workflow context of a deployed decision-support system for guideline-based care. We discuss the implication of deployment-driven guideline encoding for sharability of executable guidelines.
The Analysis and Design Strategy in the Deployment of Wireless Communications for Innovative Campus Networks

This paper describes the fundamental concept of analysis and design strategy for an effective deployment of wireless communications for innovative universities or colleges campus that insistently deploys the wireless networks. The extensive use of wireless technologies in university campus has made various respective computer applications such as electronic transactions and electronic learning (e-learning) environments become more energetic. Usually, for the innovative campus network, when deploying wireless communications, most IT Managers/Engineers begin the project by jumping into technical matters, such as deciding upon which approach, technique or standard to use, which vendor to select, and how to overcome the various limitations. These are important elements of implementing wireless communications for innovative campus; however prior to getting too far with the project, the respective IT Managers/Engineers must give vigilant attention to analysis and design strategy in order to wind up with an effective deployment.
An Approximation Algorithm for the Bandwidth Problem on Dense Graphs

The bandwidth problem is the problem of numbering the vertices of a given graph G such that the maximum difference between two numbers of adjacent vertices is minimal. The problem is known to be NP-complete and there are only few algorithms for rather special cases of the problem [HaMaMo91] [Kra87] [Sax80] [Smi95]. In this paper we present a randomized 3-approximation algorithm for the bandwidth problem restricted to dense graphs and a randomized 2-approximation algorithm for the same problem on directed dense graphs.
AnySense : a Video Communication Architecture for Urban Sensing Applications

Real-time video capture and communication is expected to be an important function in many urban sensor networks composed of camera-equipped mobile phones. In this paper, we present AnySense, a network architecture that supports video communication between 3G phones and Internet hosts in urban sensing applications. AnySense implements transcoding of video streams between the Internet and circuit-switched 3G cellular networks, and is transparent to 3G service providers. A prototype of AnySense has been built and a video clip of system demos is available at http://www.anyserver. org/.
Plasmon bands in multilayer graphene

High-energy collective electronic excitations (plasmons) in freestanding multilayer graphene are studied by momentum-resolved electron energy-loss spectroscopy (EELS). For normal incidence, only the high-energy plasmon band is excited and we measure a blueshift of the π -plasmon dispersion with increasing thickness. The observed transition between two-dimensional and three-dimensional behavior is explained using a layeredelectron-gas (LEG) model. We propose a method to measure all individual plasmon bands by tilting the sample with respect to the electron beam. As a proof of concept, EELS experiments for three-layer graphene are compared with predictions from the LEG model.
A concurrent comparison of inertia sensor-based walking speed estimation methods

This study performed a concurrent comparison of two walking speed estimation methods using shank- and foot-mounted inertial measurement units (IMUs). Based on the cyclic gait pattern of the stance leg during walking, data was segmented into a series of individual stride cycles. The angular velocity and linear accelerations of the shank and foot over each of these cycles were then integrated to determine the walking speed. The evaluation was performed on 10 healthy subjects during treadmill walking where known treadmill speeds were compared with the estimated walking speeds under normal and toe-out walking conditions. Results from the shank-mounted IMU sensor yielded more accurate walking speed estimates, with a maximum root mean square estimation error (RMSE) of 0.09 m/s in normal walking and 0.10 m/s in toe-out conditions; while the foot-mounted IMU sensors yielded a maximum RMSE of 0.14 m/s in normal walking and 0.26 m/s in toe-out conditions. Shank-mounted IMU sensors may prove to be of great benefit in accurately estimating walking speeds in patients whose gait is characterized by abnormal foot motions.
The giant armadillo (Priodontes maximus) in the Argentine Chaco

Fil: Quiroga, Veronica Andrea. Centro de Investigaciones del Bosque Atlantico; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Nordeste. Instituto de Biologia Subtropical. Instituto de Biologia Subtropical - Nodo Puerto Iguazu | Universidad Nacional de Misiones. Instituto de Biologia Subtropical. Instituto de Biologia Subtropical - Nodo Puerto Iguazu; Argentina
Coexistence, habitat associations and puparia description of three dipteran species of the Family Carnidae

F.V. and E.M. received financial support from the Spanish Ministry of Economy and Competitiveness (grant no. CGL2014-55969-P) and the European Regional Development Fund. J.V. was funded by the Spanish Ministry of Economy, Industry and Competitiveness by means of a predoctoral grant (grant no. BES-2015-075951).
A PLS approach to identifying predictive ARX models

MPC (Model Predictive Control) based on linear models is an extensively used methodology in the industrial field as a control solution for MIMO processes. The identification of ARX models for multivariable systems from input-output data often requires the use of LVMs (Latent Variable Methods) such as PCR (Principal Components Regression) or PLS (Partial Least Squares) due to the so called “curse of dimensionality”. LVMs however, do not take into consideration the prediction horizon in which the model will be used in MPC. PLS-PH (Partial Least Squares Prediction Horizon) is presented in this paper as a modification to PLS aiming to provide a model which performs better within a given prediction horizon. The advantage of using PLS-PH is shown in a simulation example.
Water quality–pipe deposit relationships in Midwestern lead pipes

The conventional wisdom of lead‐scale solubility has been built over the years by geochemical solubility models, experimental studies, and field sampling using multiple protocols. Rarely have the mineral phases from scales formed in real‐world drinking water lead service lines (LSLs) been compared with theoretical predictions. In this study, model predictions are compared with LSL scales from 22 drinking water distribution systems. The results show that only 9 of the 22 systems had LSL scales that followed model predictions. The remaining systems had unpredictable scales, some with unknown lead release characteristics, demonstrating that predicting scale formation and lead release solely by models cannot be relied on in all cases to protect human health. Therefore, for many systems with LSLs, pilot studies with existing LSL scales will be necessary to evaluate and optimize corrosion control, and correspondingly, appropriate residential water sampling will be needed to demonstrate consistent and optimal system corrosion control.
MIMOME channel secrecy capacity

Although conventional cryptographic security mechanisms are essential to the overall problem of security, the openness of wireless medium poses both threats and opportunities for securing transmission. Information theoretic security is attracting researchers for its robust nature. In this paper, a Gaussian multiple input multiple output multiple eavesdropper (MIMOME) channel is considered where a transmitter is communicating to a receiver in the presence of an eavesdropper. The transmitter is equipped with multiple antennas, while the receiver and the eavesdropper also contains multiple antennas. We present a technique for determining the secrecy capacity of the MIMO channel under Gaussian noise. To do so, we transform the channel into multiple single input multiple output (SIMO) Gaussian wiretap channel and then use scalar approach using standard techniques of communications theory. Then we consider the effect of fading and found out the limiting values of the secrecy capacity.
Do Staff Nurse Perceptions of Nurse Leadership Behaviors Influence Staff Nurse Job Satisfaction? The Case of a Hospital Applying for Magnet® Designation

BACKGROUND: Nurse managers leadership behaviors influence the job satisfaction of staff nurses. Transformational leadership is 1 of the 5 components associated with the Magnet Recognition Program®. OBJECTIVE: The aim of this study was to examine the relationship between staff nurse perception of nurse manager leadership behavior and staff nurse job satisfaction in a hospital on the Magnet® journey and the influence of nurse manager leadership style on staff nurse job satisfaction. METHODS: A descriptive, correlational design using a self-report survey with convenience sampling was used for this quantitative research study. Staff nurses completed the Multifactor Leadership Questionnaire 5X Short Form, the Abridged Job Descriptive Index survey, and a demographic questionnaire. Pearson correlations and regression analyses were completed to explore the relationship and influence of nurse manager leadership style on staff nurse job satisfaction. RESULTS: Transformational and transactional leadership styles of nurse managers were positively related to staff nurse overall job satisfaction and satisfaction with opportunity for promotion. Passive-avoidant leadership style of nurse managers was negatively related to staff nurse satisfaction with work, promotion, supervision, and coworker. Satisfaction with nurse manager leadership was a positive influence on overall nurse job satisfaction when separately controlling for the influence of each leadership style. CONCLUSION: Transformational and transactional leadership styles should be taught and encouraged among nurse managers to positively influence the job satisfaction of staff nurses.
UV-Fixed-Thick-Blotch Preparation Improves Sensitivity of Auramine Staining

ABSTRACT We describe here a very simple modification of the auramine staining procedure based on preparation of a UV-fixed thick blotch which allowed us to reach an overall sensitivity of 0.82 (592 acid-fast bacillus [AFB]-positive specimens/722 initial respiratory specimens with positive mycobacterial culture) and sensitivities of 0.93 (526 AFB-positive specimens/564 culture-positive specimens) for Mycobacterium tuberculosis complex and 0.42 (66 AFB-positive specimens/158 culture-positive specimens) for nontuberculous mycobacteria.
Neurophysiological indicators of emotional processing in youth psychopathy.

BACKGROUND Research with psychopathic samples using the technique of evoked potentials is rather limited and almost exclusively concerned with the study of the P300 component; no studies have been found (to date) that assess shorter wave latencies. This research focuses on the emotional and attentional processes in young people with psychopathic characteristics, using the evoked potential technique in short-wave latency (N100). METHOD The experimental group consisted of 22 subjects; all of them met the psychopathic criteria of the Antisocial Process Screening Device (APSD) and the Psychopathy Checklist: Youth Version (PCL: YV). The control sample consisted of 25 subjects, all of them scoring less than 15 points in APSD. RESULTS In the experimental group, the mechanisms responsible for processing the pleasant stimulation responded earlier and with more intensity (on the N100); premium positivity bias on negativity. CONCLUSIONS This emotional deficit found in the literature on psychopathy in adults is also found in young people.
Clinical Relevance of Biomarkers of Oxidative Stress

Abstract Significance: Oxidative stress is considered to be an important component of various diseases. A vast number of methods have been developed and used in virtually all diseases to measure the extent and nature of oxidative stress, ranging from oxidation of DNA to proteins, lipids, and free amino acids. Recent Advances: An increased understanding of the biology behind diseases and redox biology has led to more specific and sensitive tools to measure oxidative stress markers, which are very diverse and sometimes very low in abundance. Critical Issues: The literature is very heterogeneous. It is often difficult to draw general conclusions on the significance of oxidative stress biomarkers, as only in a limited proportion of diseases have a range of different biomarkers been used, and different biomarkers have been used to study different diseases. In addition, biomarkers are often measured using nonspecific methods, while specific methodologies are often too sophisticated or laborious for routine clinical use. Future Directions: Several markers of oxidative stress still represent a viable biomarker opportunity for clinical use. However, positive findings with currently used biomarkers still need to be validated in larger sample sizes and compared with current clinical standards to establish them as clinical diagnostics. It is important to realize that oxidative stress is a nuanced phenomenon that is difficult to characterize, and one biomarker is not necessarily better than others. The vast diversity in oxidative stress between diseases and conditions has to be taken into account when selecting the most appropriate biomarker. Antioxid. Redox Signal. 23, 1144–1170.
Investigation of Impedance Spectroscopy for Detection of Ovarian Cancer

Electronic biosensors utilizing micron-scale interdigitate electrodes (IDEs) in an SD card format have been developed with the objective of fast, sensitive detection of ovarian cancer biomarkers CA-125, CEA, and He4. The signal generated by the biosensors is a result of electrochemical impedance spectroscopy (EIS), a technique which probes changes that occur in the biosensorʼs electrical properties when the biosensor has detected one of the target biomarkers. A label-free biosensor has been developed to detect CA-125 in spiked buffer at concentrations between 10 and 80units/mL. A similar label-free biosensor was developed to detect CEA at concentrations between 10μg/mL and 10mg/mL. A biosensor employing a protein-enzyme conjugated label was developed to detect He4 at concentrations ranging from 1.56 to 100ng/mL in spiked buffer. All concentration ranges of CA-125, CEA, and He4 detected by the biosensors include the serum concentration currently used for clinical diagnosis of ovarian cancer. Efforts to improve the signals generated by the biosensors included altering the dimensions and composition of the IDEs used in the initial biosensors through software-created models. Modeled alterations included the size of the electrodes, the shape of the electrodes, and the incorporation of nanomaterials into the IDEs. An ideal geometry for the IDEs was developed through the models and IDEs with those dimensions were fabricated and tested against the IDEs used in the biosensors initially with the model-developed geometry improving the signal generated by the biosensor. Another attempt to
SOIL-WATER CHARACTERISTIC CURVE MODELS FOR CLAYS

Application of unsaturated soil mechanics is gaining importance in the geotechnical engineering practice. Numerous laboratory and field scale studies have been carried out for analysing the unsaturated soil behaviour. Analysis of flow, strength, and volume change behaviour of unsaturated soils require the knowledge of soil water characteristics curve, which is the relation between soil matric suction and volumetric water content. The parameters of SWCC such as AEV, residual water content, and suction corresponding to residual water content are useful in the analysis of unsaturated soils. A number of SWCC models have been developed that can determine a smooth and continuous curve from the experimental data for modeling flow and strength of unsaturated soils. This paper will present a comparative study of some widely used SWCC models viz., Burdine model (1953) model, Gardner (1956) model, Brutsaert (1966) model, Mualem (1976) model, van Genuchten (1980) model, and Fredlung and Xing (1994) model for fitting several experimental data. The data is obtained from the literature. Critical analyses on the applicability of these models for different soils are presented.
A Novel Grey RBF Neural Network Modeling Method and Its Application

In this paper, a novel type of neural networks called grey radial basis function network (GRBFN), is proposed. The reasons why grey theory is introduced into the RBF neural network are based on two facts. First, the modeling performance will be affected by the randomness inherent in the data when neural network approach is used to the model. That is, poor performance results from large randomness and vice versa. Then, grey accumulated generating operation (AGO), a basis of the grey theory, is reported possessing randomness reduction property. Because of facts, the GRBFN model is presented and expected to have better modeling precision of random drift in dynamically tuned gyroscopes (DTGs). The novel grey RBF network is applied to drift modeling of DTGs. The numerical results of real drift data from a certain type DTG verify the effectiveness of the proposed GRBFN model powerfully. The RBF neural network modeling approach is also investigated to provide a comparison with the GRBFN model. Under identical training condition, the GRBFNpsilas training speed has been enhanced greatly.
A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees

This paper presents a noncontact capacitive sensing system (C-Sens) for locomotion mode recognition of transtibial amputees. C-Sens detects changes in physical distance between the residual limb and the prosthesis. The sensing front ends are built into the prosthetic socket without contacting the skin. This novel signal source improves the usability of locomotion mode recognition systems based on electromyography (EMG) signals and systems based on capacitance signals obtained from skin contact. To evaluate the performance of C-Sens, we carried out experiments among six transtibial amputees with varying levels of amputation when they engaged in six common locomotive activities. The capacitance signals were consistent and stereotypical for different locomotion modes. Importantly, we were able to obtain sufficiently informative signals even for amputees with severe muscle atrophy (i.e., amputees lacking of quality EMG from shank muscles for mode classification). With phase-dependent quadratic classifier and selected feature set, the proposed system was capable of making continuous judgments about locomotion modes with an average accuracy of 96.3% and 94.8% for swing phase and stance phase, respectively (Experiment 1). Furthermore, the system was able to achieve satisfactory recognition performance after the subjects redonned the socket (Experiment 2). We also validated that C-Sens was robust to load bearing changes when amputees carried 5-kg weights during activities (Experiment 3). These results suggest that noncontact capacitive sensing is capable of circumventing practical problems of EMG systems without sacrificing performance and it is, thus, promising for automatic recognition of human motion intent for controlling powered prostheses.
Vers une plate-forme MapReduce tolérant les fautes byzantines

Les pannes arbitraires sont inherentes aux calculs massivement paralleles tels que ceux vises par le modele MapReduce ; or les implementations courantes du MapReduce ne fournissent pas d’outils permettant de tolerer les fautes byzantines. Il est donc impossible de certifier l’exactitude des resultats obtenus au terme des traitements longs et couteux. Nous presentons dans cet article une architecture permettant de repliquer les tâches dans le modele MapReduce afin de garantir l’integrite des traitements et d’isoler les tâches defaillantes. Dans une premiere etude de performances nous avons evalue certains mecanismes lies a la replication. Une seconde etude, effectuee avec un prototype implementant l’ensemble de l’architecture, a permis de valider certains choix en montrant qu’il est possible de minimiser le surcout de la tolerance aux fautes byzantines.