Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Teamwork Mechanism and Teamwork Efficiency from the Perspective of Fairness Preference

Traditional teamwork theories are widely applied in relevant researches and practices, but they are based on the hypothesis that human beings are selfish. However, emerging behavioral economics has well proved that human beings have fairness preference. New theories based on that are coming into being gradually, and possess significant implications for a wide scope of researches. By applying the fairness preference theory, this thesis researches the teamwork theory and the efficiency of teamwork with agents of fairness preference under the condition of budget constraints. This thesis also analyzes the influence mechanism of fairness preference on teamwork. Analysis shows that under the condition of budget constraints, agent's fairness preferences can not lead team cooperation to the Pareto optimal level of efficiency. But when the agent has the appropriate fairness preferences, the agent's moral hazard problem can be allayed, thereby enabling Pareto efficiency improvement in teamwork. Otherwise, the agent's moral hazard problem will be worse. This research not only shows how the agent's preferences affect teamwork and its efficiency, but also covers the researches done with the traditional teamwork theory in this field and thus improves its generality. Conclusions from this research would provide theoretical guidance and enlightenment for the rational use of agents' fairness preference to improve the efficiency of team production.
Medical image segmentation using multi resolution histogram

An efficient algorithm for Multi resolution medical image segmentation is presented. The main objective of medical image segmentation is to extract the anatomic structures and its characteristics with respect to some input features. There exists various methodologies for medical image segmentation but struggles with missing features due to the noise presence in the medical images. We propose a new technique to increase the resolution of the medical images to identify the features and edges of the medical images. We use multi-class Histogram based segmentation method to preserve the edges and increase the resolution of the medical images. With the proposed technique the memory and time consumption is hugely reduced, which is an important factor in the medical field and produces good results.
"Tips and tricks" in secondary bladder neck sclerosis’ bipolar plasma vaporization approach

Introduction: Secondary bladder neck sclerosis (BNS) represents a common late complication of prostate surgery, however so far insufficiently assessed in the available literature. More over, the previously attempted and analyzed therapeutic modalities failed to achieve acknowledgement as standard treatment for this particular pathology. Methods: The bipolar plasma vaporization (BPV) was introduced as a viable mean of removing the obstructing scar formation in a gradual fashion. Several "tips and tricks" were described as particularly useful in optimizing the plasma corona vaporization effect. The proper BPV technique is simple and safe while closely relying on certain surgical steps, the simultaneous vaporization and coagulation processes and a superior endoscopic vision. Recent technological advances created the premises for further improvements. Results: The plasma-button vaporization is characterized by a satisfactory surgical speed, remote intraoperative bleeding risks, high-quality endoscopic visibility as well as the achievement of a complete sclerotic tissue removal. Within a short learning curve, a superior final aspect of the prostatic fossa and bladder neck is obtained at the end of surgery. The continuous plasma vaporization mode provides additional technical advantages. The previously described drawbacks of transurethral incision or resection seem to have been overcome by the practical features of the plasma vaporization process. Conclusions: The BPV technique outlines a promising modality of efficiently ablating the obstructing fibrous tissue in secondary BNS patients. The simplicity and safety of the bipolar vaporization approach, together with the thorough obstructing scar removal in a radical fashion, create the premises for a favorable long term BPV clinical outcome.
Stochastic timing error rate estimation under process and temporal variations

Reducing design and operational margin is a key factor that makes fabricated chips competitive in terms of speed and power consumption. On the other hand, a smaller margin involves a higher risk that a timing error occurs in field. This paper proposes a stochastic framework that estimates timing error rate under static process variations and dynamic environmental variations for circuits with and without run-time adaptive speed control. The proposed framework extends the state assignment of the continuous-time Markov process used in the previous work so as to take into account within-die random variation, and speeds up the database construction for the transition rate matrix by combining logic simulation and statistical static timing analysis. This paper also demonstrates that the proposed framework can cope with transistor-by-transistor stochastic aging processes. Experimental results show that the within-die random variation deviates the MTTF with σ of 52%. The CPU time for the transition rate matrix computation is reduced to 1/30.
Comparison Between Standard and Pulsed Coherent Light Polymerization

An ever growing amount o f photo-curable materials is being used in different fields o f dentistry. Standard photopolymerization devices produce about 60% o f monomer conversion in composite resin fillings. In order to improve the quality o f polymerization, a series o f experiments was made using pulsed laser, because conti­ nuous coherent light leads to a higher polymerization shrinkage caused by a temperature rise in the material. Three different experi­ ments were carried out with different shades o f composite resins Helioprogress and Heliomolar (Vivadent, Liechtenstein). In the first experiment, the wavelength was changed from 465 to 495 nm in steps o f 5 nm with 30s exposition time. In the second one, the wavelength was constant (470 nm) and the illumination time was changeable (10, 20, 30 and 40s). The cured part o f the sample, si­ tuated in a specially prepared aluminum mould, was measured with Vernier micrometer. The best results were achieved at 470 nm regardless o f the amount o f filler and pigment. The results were compared with a commercial device (Heliomat). It is expected that pulsed laser polymerization will improve the degree of monomer conversion, decrease a temperature rise in the composite and in that way avoid wall-to-wall contraction.
Non‐scale Models of Economic Growth

Growth models that incorporate nonrivalry and/or externalities imply that the size of an economy may influence its long-run growth rate. Such implied scale effects run counter to empirical evidence. This paper develops a general growth model to examine conditions under which balanced growth is void of scale effects. The model is general enough to replicate well known exogenous, as well as endogenous, (non-) scale models. The authors derive a series of propositions that show that these conditions for nonscale balanced growth can be grouped into three categories that pertain to (1) functional forms, (2) the production structure, and (3) returns to scale.
labile iron and functional consequences Action of chelators in iron-loaded cardiac cells : accessibility to intracellular

Labile iron in hemosiderotic plasma and tissue are sources of iron toxicity. We compared the iron chelators deferoxamine, deferiprone and deferasirox as scavengers of labile iron in plasma and cardiomyocytes at therapeutic concentrations. This comprised: chelation of labile plasma iron (LPI) in samples from thalassemia patients; extraction of total cellular iron; accessing labile iron accumulated in organelles and preventing formation of reactive-oxidant species and restoring impaired cardiac contractility. Neonatal rat cardiomyocytes were used for: a. monitoring chelator extraction of LCI (Labile Cell Iron) as Fe; b. assessing in situ cell iron chelation by epifluorescence microscope imaging using novel fluorescent sensors for iron and ROS selectively targeted to organelles and c. monitoring contractility by time-lapse microscopy. At plasma concentrations attained therapeutically, all three chelators eliminated LPI but the orally active chelators rapidly gained access to the LCI pools of cardiomyocytes, bound labile iron, attenuated ROS formation, extracted accumulated iron and restored contractility impaired by iron overload. The effect of deferoxamine at therapeutically relevant concentrations was primarily by elimination of LPI. The rapid accessibility of the oral chelators deferasirox and deferiprone to intracellular labile iron compartments renders them potentially efficacious for protection from and possibly reversal of cardiac damage induced by iron-overload.
Towards a Process Model of Media Usage in Global Virtual Teams

In the networked world of today, global virtual teams (GVT) are becoming a common form of work structure. The geographic dispersion in GVT has led to members' high reliance on electronic communication media for collaboration and task performance. With advancements in ICT, the range of media to choose from has increased considerably. This complicates the process of selection and usage of media to serve different communication needs in GVT. Therefore we are motivated to investigate how GVT members perform the process of media selection and usage. This is achieved through an in-depth case study of three GVT. We conducted template coding of the teams' communications logs and lessons learnt papers, followed by cognitive mapping to derive the GVT media usage process model. The model can provide a basis for further empirical validation and deriving practical implications for GVT management.
The Effects of Intrapersonal Anger and Its Regulation in Economic Bargaining

Anger is a common cause of strained negotiations. This research investigated the effects of experiencing anger (Experiment 1) and regulating anger (Experiment 2) on ultimatum bargaining. Experiment 1 showed that relative to a control condition, angered participants proposed less fair offers and rejected more offers when bargaining with the person who angered them. Experiment 2 replicated Experiment 1, and additionally showed that regulating anger via reappraisal and distraction both reduced anger. However, only reappraisal effectively reduced anger for the duration of the negotiation. Participants who reappraised proposed fairer offers than those in the distraction condition, but did not differ in offers accepted. This research may have implications for what emotion regulation strategy should be employed in economic bargaining. However, future research is required to determine the most effective timing and components of reappraisal for promoting beneficial outcomes in bargaining contexts.
Exploring Developmental Differences in Students’ Sensemaking During the Transition to Graduate School

Historically, research examining graduate student socialization has attended to the structure of the socialization process, rather than how individuals interpret it. This qualitative study explored how 21 student affairs master’s degree candidates made sense of surprises that emerged during their initial socialization experiences. The findings suggest that participants encountered similar difficulties as they began graduate study; however, their responses to these challenges were influenced by their developmental capacity for self-authorship. Specifically, their approaches to the sensemaking process and their use of sensemaking resources (e.g., identity, social context) differed across their meaning making capacities.
RATE BASED TRANSPORT PROTOCOL USING DELAY INFORMATION for REDUCING ENERGY CONSUMPTION of NODES in MANET

The MANET requires rate based transport protocol for node-to-node data transfer to be effective. The wellknown transport protocol processes the packets in sender, receiver and intermediate nodes and thus the energy consumption by the intermediate nodes are imperative. In this paper, a mechanism is proposed, which makes ATP as en-to-end protocol. The transmission and queuing delay is calculated and weight is assigned suitably to understand the effect of the delay in the network. The effect of recent delay is considered and more weight is assigned to the delay value and the same is stamped in the header of the packet. The header is processed in the most of the layers of sender and receiver nodes only. The intermediate node process the header only in minimized layers and thus the energy of the nodes are saved. The percentage of power consumption time is considered as evaluation parameter and NS2 simulator is considered as tool. The performance of the proposed approach is encouraging compared a recently proposed similar approach.
Conjugation of Cholesterol to HIV-1 Fusion Inhibitor C34 Increases Peptide-Membrane Interactions Potentiating Its Action

Recently, the covalent binding of a cholesterol moiety to a classical HIV-1 fusion inhibitor peptide, C34, was shown to potentiate its antiviral activity. Our purpose was to evaluate the interaction of cholesterol-conjugated and native C34 with membrane model systems and human blood cells to understand the effects of this derivatization. Lipid vesicles and monolayers with defined compositions were used as model membranes. C34-cholesterol partitions more to fluid phase membranes that mimic biological membranes. Importantly, there is a preference of the conjugate for liquid ordered membranes, rich in cholesterol and/or sphingomyelin, as observed both from partition and surface pressure studies. In human erythrocytes and peripheral blood mononuclear cells (PBMC), C34-cholesterol significantly decreases the membrane dipole potential. In PBMC, the conjugate was 14- and 115-fold more membranotropic than T-1249 and enfuvirtide, respectively. C34 or cholesterol alone did not show significant membrane activity. The enhanced interaction of C34-cholesterol with biological membranes correlates with its higher antiviral potency. Higher partitions for lipid-raft like compositions direct the drug to the receptor-rich domains where membrane fusion is likely to occur. This intermediary membrane binding step may facilitate the drug delivery to gp41 in its pre-fusion state.
Impact of Hurricane Irene on Vibrio vulnificus and Vibrio parahaemolyticus concentrations in surface water, sediment, and cultured oysters in the Chesapeake Bay, MD, USA

To determine if a storm event (i.e., high winds, large volumes of precipitation) could alter concentrations of Vibrio vulnificus and V. parahaemolyticus in aquacultured oysters (Crassostrea virginica) and associated surface water and sediment, this study followed a sampling timeline before and after Hurricane Irene impacted the Chesapeake Bay estuary in late August 2011. Aquacultured oysters were sampled from two levels in the water column: surface (0.3 m) and near-bottom (just above the sediment). Concentrations of each Vibrio spp. and associated virulence genes were measured in oysters with a combination of real-time PCR and most probable number (MPN) enrichment methods, and in sediment and surface water with real-time PCR. While concentration shifts of each Vibrio species were apparent post-storm, statistical tests indicated no significant change in concentration for either Vibrio species by location (surface or near bottom oysters) or date sampled (oyster tissue, surface water, and sediment concentrations). V. vulnificus in oyster tissue was correlated with total suspended solids (r = 0.41, P = 0.04), and V. vulnificus in sediment was correlated with secchi depth (r = -0.93, P <0.01), salinity (r = -0.46, P = 0.02), tidal height (r = -0.45, P = 0.03), and surface water V. vulnificus (r = 0.98, P <0.01). V. parahaemolyticus in oyster tissue did not correlate with environmental measurements, but V. parahaemolyticus in sediment and surface water correlated with several measurements including secchi depth [r = -0.48, P = 0.02 (sediment); r = -0.97, P <0.01 (surface water)] and tidal height [r = -0.96, P <0.01 (sediment), r = -0.59, P <0.01 (surface water)]. The concentrations of Vibrio spp. were higher in oysters relative to other studies (average V. vulnificus 4 × 105 MPN g-1, V. parahaemolyticus 1 × 105 MPN g-1), and virulence-associated genes were detected in most oyster samples. This study provides a first estimate of storm-related Vibrio density changes in oyster tissues, sediment, and surface water at an aquaculture facility in the Chesapeake Bay.
Hamburger Beitr Age Zur Angewandten Mathematik a Simply Constrained Optimization Reformulation of Kkt Systems Arising from Variational Inequalities Hamburger Beitr Age Zur Angewandten Mathematik Reihe a Preprints Reihe B Berichte Reihe C Mathematische Modelle Und Simulation Reihe D Elektrische Netzw

The Karush-Kuhn-Tucker (KKT) conditions can be regarded as optimality conditions for both variational inequalities and constrained optimization problems. In order to overcome some drawbacks of recently proposed reformulations of KKT systems, we propose to cast KKT systems as a minimization problem with nonnegativity constraints on some of the variables. We prove that, under fairly mild assumptions, every stationary point of this constrained minimization problem is a solution of the KKT conditions. Based on this reformulation, a new algorithm for the solution of the KKT conditions is suggested and shown to have some strong global and local convergence properties.
Affect recognition based on physiological changes during the watching of music videos

Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies and increasing interest in personalized content delivery. Physiological signals such as the electroencephalogram (EEG) and peripheral physiological signals have been less considered for emotion recognition in comparison to other modalities such as facial expression and speech, although they have a potential interest as alternative or supplementary channels. This article presents our work on: (1) constructing a dataset containing EEG and peripheral physiological signals acquired during presentation of music video clips, which is made publicly available, and (2) conducting binary classification of induced positive/negative valence, high/low arousal, and like/dislike by using the aforementioned signals. The procedure for the dataset acquisition, including stimuli selection, signal acquisition, self-assessment, and signal processing is described in detail. Especially, we propose a novel asymmetry index based on relative wavelet entropy for measuring the asymmetry in the energy distribution of EEG signals, which is used for EEG feature extraction. Then, the classification systems based on EEG and peripheral physiological signals are presented. Single-trial and single-run classification results indicate that, on average, the performance of the EEG-based classification outperforms that of the peripheral physiological signals. However, the peripheral physiological signals can be considered as a good alternative to EEG signals in the case of assessing a user's preference for a given music video clip (like/dislike) since they have a comparable performance to EEG signals while being more easily measured.
Dwell-Time Based Cell Association with Carrier Aggregation for Heterogeneous Cellular Networks

Abstract In heterogeneous networks (HetNet), it is an important issue to determine a suitable access network for call request to support seamless service and stable connectivity. For moving user equipment (UE), when and how to select a appropriate cell is more challenging. Since relatively long handover (HO) interruption time occurs due to the frequent HO, they experience significantly degraded data rate. Therefore, we propose dwell-time based multi-traffic cell selection method with carrier aggregation (CA) to reduce the effect of HO interruption time. Dwell time means the time UE stays in a cell. Using the dwell-time considered cell selection method, we expect increase average UE throughput by declining the interruption time. Simulation results show that our proposed scheme improve the UE experienced data rate.
Effects of brain-derived neurotrophic factor and neurotrophin-3 on the neuronal differentiation of rat adipose-derived stem cells

Tissue engineering is a promising method that may be used to treat spinal cord injury (SCI). The underlying repair mechanism of tissue engineering involves the stable secretion of neurotrophins from seed cells, which eventually differentiate into neurons; therefore, the selection of appropriate seed cells, which stably secrete neurotrophins that easily differentiate into neurons requires investigation. Adipose-derived stem cells (ADSCs), which are adult SCs, are advantageous due to convenience sampling and easy expansion; therefore, ADSCs are currently the most popular type of seed cell. Brain-derived neurotrophic factor (BDNF) and neurotrophin-3 (NT-3) possess superior properties, when compared with other neurotrophic factors, in the maintenance of neuronal survival and promotion of SC differentiation into neurons. The present study used two lentiviruses, which specifically express BDNF and NT-3 [Lenti-BDNF-green fluorescent protein (GFP), Lenti-NT-3-red fluorescent protein (RFP)], to transfect third-generation ADSCs. Three types of seed cell were obtained: i) Seed cells overexpressing BDNF (ADSC/Lenti-BDNF-GFP); ii) seed cells overexpressing NT-3 (ADSC/Lenti-NT-3-RFP); and iii) seed cells overexpressing BDNF and NT-3 (ADSC/Lenti-BDNF-GFP and NT-3-RFP). The transfected cells were then induced to differentiate into neurons and were divided into a further four groups: i) The BDNF and NT-3 co-overexpression group; ii) the BDNF overexpression group; iii) the NT-3 overexpression group; and iv) the control group, which consisted of untransfected ADSCs. The results of the present study demonstrate that BDNF and NT-3 expression was higher 10 days after induction, as detected by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blotting. Neuron-specific enolase is a neuronal marker, the expression of which was highest in the BDNF and NT-3 co-overexpression group, followed by the BDNF overexpression group and then by the NT-3 overexpression group. The lowest expression levels of NSE were detected in the control group, as determined by RT-qPCR, western blotting and immunofluorescent staining. These results indicate that BDNF and NT-3 exert a synergistic effect, which may promote the neuronal differentiation of ADSCs. The present study provides a solid theoretical foundation for future experiments regarding the use of tissue engineering technology for the treatment of SCI.
Hybrid systems of local basis functions

Since there is no individual approach that can be universally applied to effectively solve the hard problems of artificial intelligence and data analysis, hybrid systems are necessary to better tackle specific tasks by exploiting the advantages of different methodologies in a single framework. Based on known results of combining neural networks and rule-based systems, this work presents a hybrid system with the purpose of simplifying rule sets obtained from rule induction algorithms on classification problems without increasing the accuracy error. This is motivated by assuming that simplicity can lead to more understandable models and rule induction algorithms often provide an excessive number of rules necessary to classify future examples within a given accuracy error, even after pruning. Experimental evidence suggests effective gains on a benchmark of sixteen data sets. Experiments were also performed to detect the effect of different components of the proposed approach in achieving the results and so helping to explain why this hybrid system works.