Miracle-dz/UniFAR-FTUs huggingface dataset:
Personal control antidotes to the strain consequences of generational conflict as a stressor

Purpose – This paper aims to investigate the interactive effects of generational conflict and personal control (i.e. self‐regulation and political skill) on strain‐related outcomes (i.e. job tension, and job tension and job dissatisfaction). Design/methodology/approach – This two‐study investigation employed a survey methodology to assess the efficacy of the predictive relationships. Study 1 consisted of 390 full‐time employees in a broad range of occupations, while 199 state agency employees participated in study 2.Findings – Generational conflict was significantly positively related to job tension (i.e. in both studies) and job dissatisfaction (i.e. in study 2). Further, for individuals higher in self‐regulation (i.e. study 1) and political skill (i.e. study 2), these effects were attenuated. That is higher self‐regulation reduced job tension in study 1, and political skill was related to decreases in job tension and job dissatisfaction across all levels of generational conflict in study 2.Research limit.
Mixed-ADC Massive MIMO Detectors: Performance Analysis and Design Optimization

The hardware cost and power consumption of a massive multiple-input multiple-output (MIMO) system can be remarkably reduced by using a very low-resolution analog-to-digital converter (ADC) unit in each antenna. However, such a pure low-resolution ADC architecture complicates parameter estimation problems. These issues can be resolved and the potential of a pure low-resolution ADC architecture can be achieved by applying a mixed ADC architecture, whose antennas are equipped with low-precision ADCs, while few antennas are composed of high-precision ADCs. In this paper, a unified framework is presented to develop a family of detectors on a massive MIMO uplink system through probabilistic Bayesian inference. Our basic setup comprises an optimal detector, which is developed to provide a minimum mean-squared-error estimate on data symbols. Considering that highly nonlinear steps are involved in quantization, we also investigate the potential for complexity reduction on an optimal detector by postulating a common pseudo-quantization noise model. We provide asymptotic performance expressions, including mean squared error and bit error rate for optimal and suboptimal MIMO detectors. These expressions can be evaluated rapidly and efficiently. Thus, they can be used for system design optimization.
A computational domain decomposition approach for solving coupled flow-structure-thermal interaction problems.

Solving complex coupled processes involving fluid-structure-ther- mal interactions is a challenging problem in computational sciences and engi- neering. Currently there exist numerous public-domain and commercial codes available in the area of Computational Fluid Dynamics (CFD), Computational Structural Dynamics (CSD) and Computational Thermodynamics (CTD). Dif- ferent groups specializing in modelling individual process such as CSD, CFD, CTD often come together to solve a complex coupled application. Direct nu- merical simulation of the non-linear equations for even the most simplified fluid-structure-thermal interaction (FSTI) model depends on the convergence of iterative solvers which in turn rely heavily on the properties of the coupled system. The purpose of this paper is to introduce a flexible multilevel algo- rithm with finite elements that can be used to study a coupled FSTI. The method relies on decomposing the complex global domain, into several local sub-domains, solving smaller problems over these sub-domains and then gluing back the local solution in an ecient and accurate fashion to yield the global solution. Our numerical results suggest that the proposed solution methodol- ogy is robust and reliable.
Intermedia Synchronization Protocol for Continuous Media Using MPEG-4 in Mobile Distributed Systems

The preservation of temporal dependencies among a group of processes that exchange continuous media at runtime is a key issue for emerging mobile distributed systems (MDS), such as monitoring of biosignals and interactive multiuser games. Although several works are oriented to satisfy temporal dependencies, most of them are not suitable for MDSs. In general, an MDS is characterized by the absence of global references (e.g. shared memory and wall clock), host mobility, limited processing and storage capabilities in mobile hosts, and limited bandwidth on wireless communication channels. This paper proposes an asymmetric synchronization protocol to be used at runtime in an MDS without using a common reference. One main aspect of our synchronization protocol is that it translates temporal constraints to causal dependencies of the continuous media data as seen by the mobile hosts. We simulate the protocol by considering a cellular network environment and by using MPEG-4 encoders. The simulation results show that our protocol is effective in reducing the synchronization error. In addition, the protocol is efficient in terms of processing and storage costs at the mobile devices, as well as in the overhead attached per message across the wired and wireless channels.
Anticipatory Admission Control and Resource Allocation for Media Streaming in Mobile Networks

The exponential growth of media streaming traffic will have a strong impact on the bandwidth consumption of the future wireless infrastructure. One key challenge is to deliver services taking into account the stringent requirements of mobile video streaming, e.g., the users' expected Quality-of-Service. Admission control and resource allocation can strongly benefit from the use of anticipatory information such as the prediction of future user's demand and expected channel gain. In this paper, we use this information to formulate an optimal admission control scheme that maximizes the number of accepted users into the system with the constraint that not only the current but also the expected demand of all users must be satisfied. Together with the optimal set of accepted users, the optimal resource scheduling is derived. In order to have a solution that can be computed in a reasonable time, we propose a low complexity heuristic. Numerical results show the performance of the proposed scheme with respect to the state of the art.
Caspase 3 activation is essential for neuroprotection in preconditioning

Sublethal insults can induce tolerance to subsequent stressors in neurons. As cell death activators such as ROS generation and decreased ATP can initiate tolerance, we tested whether other cellular elements normally associated with neuronal injury could add to this process. In an in vivo model of ischemic tolerance, we were surprised to observe widespread caspase 3 cleavage, without cell death, in preconditioned tissue. To dissect the preconditioning pathways activating caspases, and the mechanisms by which these proteases are held in check, we developed an in vitro model of excitotoxic tolerance. In this model, antioxidants and caspase inhibitors blocked ischemia-induced protection against N-methyl-d-aspartate toxicity. Moreover, agents that blocked preconditioning also attenuated induction of HSP 70; transient overexpression of a constitutive form of this protein prevented HSP 70 up-regulation and blocked tolerance. We outline a neuroprotective pathway where events normally associated with apoptotic cell death are critical for cell survival.
Stability analysis of the immersed boundary method for a two-dimensional membrane with bending rigidity

In this paper, we analyze the stability of the Immersed Boundary Method applied to a membrane-fluid system with a plasma membrane immersed in an incompressible viscous fluid. We show that for small deformations, the planar rest state is stable for a membrane with bending rigidity. The smoothed version, using a standard regularization technique for the singular force, is also shown to be stable. Furthermore, we show that the coupled fluid-membrane system is stiff and smoothing helps to reduce the stiffness. Compared to the system of elastic fibers immersed in an incompressible fluid, membrane with bending rigidity consist of a wider range of decay rates. Therefore numerical instability could occur more easily for an explicit method when the time step size is not sufficiently small, even though the continuous problem is stable.
Impairment of Coronary Arteriolar Endothelium-Dependent Dilation after Multi-Walled Carbon Nanotube Inhalation: A Time-Course Study

Engineered nanomaterials have been developed for widespread applications due to many highly unique and desirable characteristics. The purpose of this study was to assess pulmonary inflammation and subepicardial arteriolar reactivity in response to multi-walled carbon nanotube (MWCNT) inhalation and evaluate the time course of vascular alterations. Rats were exposed to MWCNT aerosols producing pulmonary deposition. Pulmonary inflammation via bronchoalveolar lavage and MWCNT translocation from the lungs to systemic organs was evident 24 h post-inhalation. Coronary arterioles were evaluated 24–168 h post-exposure to determine microvascular response to changes in transmural pressure, endothelium-dependent and -independent reactivity. Myogenic responsiveness, vascular smooth muscle reactivity to nitric oxide, and α-adrenergic responses all remained intact. However, a severe impact on endothelium-dependent dilation was observed within 24 h after MWCNT inhalation, a condition which improved, but did not fully return to control after 168 h. In conclusion, results indicate that MWCNT inhalation not only leads to pulmonary inflammation and cytotoxicity at low lung burdens, but also a low level of particle translocation to systemic organs. MWCNT inhalation also leads to impairments of endothelium-dependent dilation in the coronary microcirculation within 24 h, a condition which does not fully dissipate within 168 h. The innovations within the field of nanotechnology, while exciting and novel, can only reach their full potential if toxicity is first properly assessed.
Tensions for Language Minority Children: Celebrations in a Kindergarten Classroom.

Researchers suggest that children of minority groups are so confused by the customs of the dominant culture represented in schools that their English literacy learning suffers. An ethnographic study examined the literacy learning of two language minority children in a suburban kindergarten program. Using unstructured interviews, the focal informants of the study were the two children (a female Southeast Asian and a male Indian), the kindergarten teacher, and the teacher of English as a second language (ESL). Other sources and methods of collecting information consisted of a year of participant observations in the school and at home, field trips, parent conferences, and documents such as written home-school communication, student work, report cards, testing information, and classroom materials. The minority children's understanding of holidays and celebrations were studied to assess whether understanding affected English literacy, as illustrated by the tensions during 12 classroom holidays and celebrations, ranging from Christmas to Columbus Day to kindergarten graduation. Findings revealed that the children misunderstood most holidays and celebrations and that the school staff misunderstood the children's confusions. The lack of communication between school and families exacerbated the difficulties for the children. Results suggested that: (1) this program and comparable programs include the study of similarities and differences between people; (2) multicultural literature be integrated into the program; (3) appreciation of diverse holidays and celebrations be incorporated across the curriculum; and (4) home-school communication be strengthened. (BAC) Reproductions supplied by EDRS are the best that can be made from the original. document. *********************************************************************** *********************************************************************** U.S. DEPARTMENT OF EDUCATION ODIlice of Educational Research and Impicvernent EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Thu document has been reproduced as ewe/Kt from the person or organization originating It. Minor changes have been made to =prowl reproduction quality Points of view or opinions stated in this document do not necessarily represent official 0E1-11 position or policy Tensions for Language Minority Children: Celebrations in a Kindergarten Classroom By Patricia R. Schmidt Le Moyne College Syracuse , NY 13214 PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY
Performance monitoring for robustness in automatic recognition of speechi

A new method to deal with an unexpected harmful variability (noise) in speech during the operation of the system is reviewed. The fundamental idea is to derive in the training phase statistics of the system output for the data on which the system was trained and adaptively modify the system so that statistics derived during the operation are similar. Multiple processing streams are formed by extracting different spectral and temporal modulation components from the speech signal. Information in each stream is used to estimate posterior probabilities of speech sounds (posteriogram) in each stream, and these estimates are fused to derive the final posteriogram. The autocorrelation matrix of a modified final posteriogram is adopted as the measure that summarizes the system performance. Initial setup of the fusion module is found by cross-correlating the probability estimates with phoneme labels on training data. During an operation, the matrix derived on the training data serves as the desirable target and the fusion module is modified to optimize the system performance. Results on phoneme recognition from noisy speech indicate the effectiveness of the method.
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features

We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-clustered. Co-clustering is performed in a way that maximises discrimination of object images from non-object images, thus emphasizing discriminative features. This provides a way of obtaining perceptual joint-clusters of object images and features. We tackle the problem by simultaneously boosting multiple strong classifiers which compete for images by their expertise. Each boosting classifier is an aggregation of weak-learners, i.e. simple visual features. The obtained classifiers are useful for object detection tasks which exhibit multi-modalities, e.g. multi-category and multi-view object detection tasks. Experiments on a set of pedestrian images and a face data set demonstrate that the method yields intuitive image clusters with associated features and is much superior to conventional boosting classifiers in object detection tasks.
Preparation, structure, dynamics, and energetics of amorphous silicon: A molecular-dynamics study.

The preparation of amorphous silicon by molecular-dynamics simulationsemploying the Stillinger-Weber Si potential, via direct slow cooling from themelt, is described. It is shown that previous failures to obtain amorphous Siusing these interaction potentials are of kinetic origin, i.e., related to thequench rate employed. The amorphous silicon sample which we prepared exhibitsstructural and dynamical properties in good agreement with availableexperimental data for the static structure factor and phonon density of states.Detailed analyses of the structure, including distributions of bond anddihedral angles and ring statistics, and energetics, including thedetermination of effective temperatures for /ital n/-fold-coordinated atoms(/ital n/=3--5) and estimates of the formation energy of coordinationdefects (i.e., /ital n//ne/4) are presented. The lack of medium-range order,measured via correlation between dihedral angles associated with adjacentbonds, is discussed.
Born to Win ? How Foundational Network Structure Affects the Success of Open Source Development Projects

User-driven innovation initiatives enabled by virtual social networks are gaining importance in modern business contexts. For example, the open source software development movement employs an online network whose members collaborate to develop software. In this usernetwork–driven innovation context, the product development process consists of two stages: (1) transition from an idea to initiating product development activity and (2) maturation of the projects to become marketable. The network structure that surrounds a project at inception (i.e., birth or founding) should play a significant role in determining which projects become active (stage 1) and influencing the time to market for those active projects (stage 2). The authors test their hypotheses with data from 817 new open source projects from SourceForge.net, the largest forum for open source projects. Projects whose founders are embedded in the network and whose positions enable them to arbitrate connections among projects are more likely to become active and experience shorter times to market. The findings have significant implications for understanding and managing the product development process in a networked environment.
Factors Attracting and Keeping Nurses in Home Care

The nursing shortage relates not only to recruiting nurses into the profession but also retaining nurses in practice. Although several studies have examined nurse retention in general, few have addressed retention as a home care issue. This descriptive study identifies factors that attracted nurses to home care and factors that contributed to job satisfaction and dissatisfaction in the state of Connecticut. These findings provide insights to home care agencies on issues that should be addressed to reduce turnover and improve retention in home care.
Large-Scale Biochemical Profiling of the Candida albicans Biofilm Matrix: New Compositional, Structural, and Functional Insights

ABSTRACT Among pathogenic fungi, Candida albicans is most frequently associated with biofilm formation, a lifestyle that is entirely different from the planktonic state. One of the distinguishing features of these biofilms is the presence of extracellular material, commonly referred to as the “biofilm matrix. ” The fungal biofilm matrix embeds sessile cells within these communities and plays important structural and physiological functions, including antifungal drug resistance with important clinical repercussions. This matrix is mostly self-produced by the fungal cells themselves and is composed of different types of biopolymers. In C. albicans, the main components of the biofilm matrix are carbohydrates, proteins, lipids, and DNA, but many of them remain unidentified and/or poorly characterized. In their recent article, Zarnowski et al. [mBio 5(4):e01333-14, 2014, doi:10.1128/mBio.01333-14] used a variety of biochemical and state-of-the-art “omic” approaches (glycomics, proteomics, and lipidomics) to identify and characterize unique biopolymers present in the C. albicans biofilm matrix. Besides generating a true “encyclopedic” catalog of individual moieties from each of the different macromolecular categories, results also provide important insights into structural and functional aspects of the fungal biofilm matrix, particularly the interaction between different components and the contribution of multiple matrix constituents to biofilm antifungal drug resistance.
Thermal-electrochemical Modeling and Parameter Sensitivity Analysis of Lithium-ion Battery

In this paper, a thermal-electrochemical model of Li-ion battery was developed based on P2D model, and a set of parameters which related to PHM characteristics were proposed along with the parameter sensitivity analysis. Sensitivity value matrixes were also presented to describe the sensitivity of model output when parameters take different values on different operating conditions. Then, parameters were clustered into four clusters using fuzzy clustering method according to their “Best Condition for Identification”, on which the parameter has the greatest sensitivity and most easily to be identified. Finally, design criteria and application suggestions of the “Best Practicable Conditions” were also discussed.
Causal relay networks and new cut-set bounds

In this paper, we study causal discrete memoryless relay networks with multiple sources and destinations. Unlike the classical relay networks where the transmit signal of a relay node depends only on its past received symbols, our network model consists of two types of relays, i.e., relays with one sample delay (classical relays) and relays without delay (causal relays) whose transmit signal depends not only on the past received symbols but also on the current received symbol. For this network, we derive two new cut-set bounds, one when the causal relays have their own messages and the other when not. Our new cut-set bounds recover the classical cut-set bound when there is no causal relay. Using two examples, i.e., causal vector Gaussian two-way relay channel and causal vector Gaussian relay channel, we show that the new cut-set bounds can be achieved by a simple amplify-and-forward type relaying. Our result for the causal relay channel strengthens the previously known capacity result for the same channel by El Gamal, Hassanpour, and Mammen.
‘The crisis in psychoanalysis’: What crisis are we talking about?

In this paper the author argues that the so‐called crisis in psychoanalysis, often blamed on various external factors, is in fact an internal crisis brought about by intrinsic incongruities between the explicit intention of its educational model, which aspires to educate and train in a professional and scientific discipline, and its organisational structure, locally and internationally inextricable. Its isolated basic units of ecumenical control—its traditional ‘societies/institutes of psychoanalysis’—implicitly and explicitly co‐impose the monastic transmission of a preponderantly doctrinaire education and clinical practice. The dysfunctional elongation of our historical organisational syncretism continues to force us, one century later, to amalgamate in and superimpose on an endogamous supraordaining system (i.e. our International Psychoanalytic Association) prerogatives and functions so contradictory that they are ordinarily considered irreconcilable, such as: education and scientific research (tasks of universities); societal and political (tasks of an ordinary society of professionals and technicians); and ‘as if’ certification and accreditation (tasks of external, local, interinstitutional collegiate bodies and independent, multirepresentative, national coalitions and consortia, as well as of local governmental legislation). The pervasive collective regressive phenomena derived from this homogamous and secluding organisational and educational syncretism has had a retardatory impact along all the hierarchy of our institutional activities. The future of psychoanalysis as a science and a clinical discipline must be nothing other than one of evolution and transformation. The survival of its legendary psychoanalytic institutes and societies, as well as its local and international organisation, with its inherited but now untenable syncretism, is that which is being questioned (that is, psychoanalysis as a ‘movement’ and a ‘cause’).