Miracle-dz/UniFAR-FTUs huggingface dataset:
Variance-constrained capacity of the molecular timing channel with synchronization error

Molecular communication is set to play an important role in the design of complex biological and chemical systems. An important class of molecular communication systems is based on the timing channel, where information is encoded in the delay of the transmitted molecule - a synchronous approach. At present, a widely used modeling assumption is the perfect synchronization between the transmitter and the receiver. Unfortunately, this assumption is unlikely to hold in most practical molecular systems. To remedy this, we introduce a clock into the model - leading to the molecular timing channel with synchronization error. To quantify the behavior of this new system, we derive upper and lower bounds on the variance-constrained capacity, which we view as the step between the mean-delay and the peak-delay constrained capacity. By numerically evaluating our bounds, we obtain a key practical insight: the drift velocity of the clock links does not need to be significantly larger than the drift velocity of the information link, in order to achieve the variance-constrained capacity with perfect synchronization.
Adaptive H∞ trajectory control of nonholonomic mobile robot with compensation of input uncertainty

This paper considers the design of an adaptive trajectory tracking control strategy of nonholonomic wheeled mobile robots which is based on H∞ control method. Kinematics control laws of mobile robots is well known, therefore, developing the dynamics control is focused. It is shown that the resulting dynamics control strategy can compensate not only the physical parameters of mobile robot, but also the input torque uncertainty and the input torque disturbance based on adaptive H∞ method. Numerical simulations are given to show the effectiveness of the proposed method.
Hypothalamic and other connections with dorsal CA2 area of the mouse hippocampus

The CA2 area is an important, although relatively unexplored, component of the hippocampus. We used various tracers to provide a comprehensive analysis of CA2 connections in C57BL/6J mice. Using various adeno‐associated viruses that express fluorescent proteins, we found a vasopressinergic projection from the paraventricular nuclei of the hypothalamus (PVN) to the CA2 as well as a projection from pyramidal neurons of the CA2 to the supramammillary nuclei. These projections were confirmed by retrograde tracing. As expected, we observed CA2 afferent projections from neurons in ipsilateral entorhinal cortical layer II as well as from bilateral dorsal CA2 and CA3 using retrograde tracers. Additionally, we saw CA2 neuronal input from bilateral medial septal nuclei, vertical and horizontal limbs of the nucleus of diagonal band of Broca, supramammillary nuclei (SUM), and median raphe nucleus. Dorsal CA2 injections of adeno‐associated virus expressing green fluorescent protein revealed axonal projections primarily to dorsal CA1, CA2, and CA3 bilaterally. No projection was detected to the entorhinal cortex from the dorsal CA2. These results are consistent with recent observations that the dorsal CA2 forms disynaptic connections with the entorhinal cortex to influence dynamic memory processing. Mouse dorsal CA2 neurons send bilateral projections to the medial and lateral septal nuclei, vertical and horizontal limbs of the diagonal band of Broca, and SUM. Novel connections from the PVN and to the SUM suggest important regulatory roles for CA2 in mediating social and emotional input for memory processing. J. Comp. Neurol. 521:1844–1866, 2013. © 2012 Wiley Periodicals, Inc.
Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems

The increasing customization of products, which leads to greater variances and smaller lot sizes, requires highly flexible manufacturing systems. These systems are subject to dynamic influences and demand increasing effort for the generation of feasible production schedules and process control. This paper presents an approach for dealing with these challenges. First, production scheduling is executed by coupling an optimization heuristic with a simulation model. Second, real-time system state data, to be provided by forthcoming cyber-physical systems, is fed back, so that the simulation model is continuously updated and the optimization heuristic can either adjust an existing schedule or generate a new one. The potential of the approach was tested by means of a use case embracing a semiconductor manufacturing facility, in which the simulation results were employed to support the selection of better dispatching rules, improving flexible manufacturing systems performance regarding the average production cycle time.
Adaptive item-based learning environments based on the item response theory: possibilities and challenges

The popularity of intelligent tutoring systems (ITSs) is increasing rapidly. In order to make learning environments more efficient, researchers have been exploring the possibility of an automatic adaptation of the learning environment to the learner or the context. One of the possible adaptation techniques is adaptive item sequencing by matching the difficulty of the items to the learner's knowledge level. This is already accomplished to a certain extent in adaptive testing environments, where the test is tailored to the person's ability level by means of the item response theory (IRT). Even though IRT has been a prevalent computerized adaptive test (CAT) approach for decades and applying IRT in item-based ITSs could lead to similar advantages as in CAT (e.g. higher motivation and more efficient learning), research on the application of IRT in such learning environments is highly restricted or absent. The purpose of this paper was to explore the feasibility of applying IRT in adaptive item-based ITSs. Therefore, we discussed the two main challenges associated with IRT application in such learning environments: the challenge of the data set and the challenge of the algorithm. We concluded that applying IRT seems to be a viable solution for adaptive item selection in item-based ITSs provided that some modifications are implemented. Further research should shed more light on the adequacy of the proposed solutions.
Parents with recurrent depression: heterogeneity in course, severity and symptoms as risks for offspring depression

Depression is a significant global problem and is among the leading causes of disability worldwide. Depression in children and adolescents is associated with wide-ranging impairments and often marks the beginning of a lifelong, chronic illness. Early treatment and prevention of depression is therefore a major public health concern. Parental depression is one of the most consistently identified risk factors for depression in young people. Although depression is a highly heterogeneous disorder, most studies examining cross-generational depression risk have simply dichotomised parents into ‘depressed’ and ‘non-depressed’ groups and clinical characteristics beyond diagnostic status are rarely presented. In this thesis I examine how differences in clinical features of parental depression including variations in depression course, severity, timing and symptom manifestation differentially relate to offspring depression risk. Data were drawn from the Early Prediction of Adolescent Depression study. A three-wave longitudinal study of the offspring of 337 parents with a history of recurrent unipolar depression. Within this high risk group of offspring, specific clinical features of parental depression were identified that may serve as useful markers of current and/or future offspring depression risk. These included a recent episode of clinical depression, an episode involving severe impairment or hospitalisation and symptoms of appetite or weight loss. In addition, findings from this thesis highlight that there is considerable variability in the course of parent depression over time and suggest that any persistent symptoms of depression in parents, even those at low levels, may be clinically important in indexing offspring risk for depression symptoms. vi Findings highlight the importance of considering clinical characteristics of depression in parents beyond diagnostic status when examining cross-generational depression risk. The identification of subgroups of offspring who are at greatest risk can help ensure that clinical services and preventative interventions are targeted to those with greatest need.
Prolonged Visual Experience in Adulthood Modulates Holistic Face Perception

Background Using the well-known composite illusion as a marker of the holistic perception of faces, we tested how prolonged visual experience with a specific population of faces (4- to 6-year-old children) modulates the face perception system in adulthood. Methodology/Principal Findings We report a face composite effect that is larger for adult than children faces in a group of adults without experience with children faces (“children-face novices”), while it is of equal magnitude for adults and children faces in a population of preschool teachers (“children-face experts”). When considering preschool teachers only, we observed a significant correlation between the number of years of experience with children faces and the differential face composite effect between children and adults faces. Participants with at least 10 years of qualitative experience with children faces had a larger composite face effect for children than adult faces. Conclusions/Significance Overall, these observations indicate that even in adulthood face processes can be reshaped qualitatively, presumably to facilitate efficient processing of the differential morphological features of the frequently encountered population of faces.
Combustion Organic Aerosol as Cloud Condensation Nuclei in Ship Tracks

Polycyclic aromatic hydrocarbons (PAHs) have been sampled in marine stratiform clouds to identify the contribution of anthropogenic combustion emissions in activation of aerosol to cloud droplets. The Monterey Area Ship Track experiment provided an opportunity to acquire data on the role of organic compounds in ambient clouds and in ship tracks identified in satellite images. Identification of PAHs in cloud droplet residual samples indicates that several PAHs are present in cloud condensation nuclei in anthropogenically influenced air and do result in activated droplets in cloud. These results establish the presence of combustion products, such as PAHs, in submicrometer aerosols in anthropogenically influenced marine air, with enhanced concentrations in air polluted by ship effluent. The presence of PAHs in droplet residuals in anthropogenically influenced air masses indicates that some fraction of those combustion products is present in the cloud condensation nuclei that activate in cloud. Although a sufficient mass of droplet residuals was not collected to establish a similar role for organics from measurements in satellite-identified ship tracks, the available evidence from the fraction of organics present in the interstitial aerosol is consistent with part of the organic fraction partitioning to the droplet population. In addition, the probability that a compound will be found in cloud droplets rather than in the unactivated aerosol and the compound’s water solubility are compared. The PAHs studied are only weakly soluble in water, but most of the sparse data collected support more soluble compounds having a higher probability of activation.
[The protective effect of N-acetylcysteine magnesium against liver cirrhosis with portal hypertension in rat].

OBJECTIVE To study the effects of acetylcysteine magnesium on the vasoactive substances and hepatic fibrosis indexes in liver cirrhosis and portal hypertension of rats. METHODS The rat liver cirrhosis model was made with 12 microg/kg dimethylnitrosamines. Then acetylcysteine magnesium was injected respectively with 25, 50, and 100 mg x kg(-1) dose daily into abdominal cavity. After 8 weeks treatment, pathological section, TGF-beta1, NO, TNOS and iNOS of hepatic tissue were detected to assess the effect of acetylcysteine magnesium against cirrhosis portal hypertension. RESULTS After the DMNA modeling was completed, the HE and Sweet reticulocyte staining of liver pathological section showed that cirrhosis of the liver was in the III-IV phase, the infiltration of lymphocytes and formation of pseudolobuli in liver were alleviated in three acetylcysteine magnesium treatment groups (low, medium, and high dose), and the degree of liver fiber sclerosis in three groups was significantly lower than control group. Compared with control group, TGF-beta1, NO, TNOS and iNOS were significantly reduced in all treatment groups (P < 0.05). CONCLUSION Acetylcysteine magnesium is probably a distinctive antioxidant which can remove various free radical in body and modulate ligand-dependent signal transduction and the growth of cell. It also have protection in the liver cirrhosis and portal hypertension of rats induced by dimethylnitrosamine.
A novel role for Pax6 in the segmental organization of the hindbrain

Complex patterns and networks of genes coordinate rhombomeric identities, hindbrain segmentation and neuronal differentiation and are responsible for later brainstem functions. Pax6 is a highly conserved transcription factor crucial for neuronal development, yet little is known regarding its early roles during hindbrain segmentation. We show that Pax6 expression is highly dynamic in rhombomeres, suggesting an early function in the hindbrain. Utilization of multiple gain- and loss-of-function approaches in chick and mice revealed that loss of Pax6 disrupts the sharp expression borders of Krox20, Kreisler, Hoxa2, Hoxb1 and EphA and leads to their expansion into adjacent territories, whereas excess Pax6 reduces these expression domains. A mutual negative cross-talk between Pax6 and Krox20 allows these genes to be co-expressed in the hindbrain through regulation of the Krox20-repressor gene Nab1 by Pax6. Rhombomere boundaries are also distorted upon Pax6 manipulations, suggesting a mechanism by which Pax6 acts to set hindbrain segmentation. Finally, FGF signaling acts upstream of the Pax6-Krox20 network to regulate Pax6 segmental expression. This study unravels a novel role for Pax6 in the segmental organization of the early hindbrain and provides new evidence for its significance in regional organization along the central nervous system.
The Architecture of Cooperation: How Code Architecture Mitigates Free Riding in the Open Source Development Model

This paper argues that the architecture of a codebase is a critical factor that lies at the heart of the open source development process. To support this argument, we define two observable properties of an architecture: (1) its modularity and (2) its option values. Developers can make informed judgments about modularity and option value from early code releases. Their judgments in turn will influence their decisions to work and to contribute their code back to the community. We go on to suggest that the core of the open source development process can be thought of as two linked games played within a codebase architecture. The first game involves the implicit exchange of effort directed at the modules and option values of a codebase; the second is a Prisoners’ Dilemma game triggered by the irreducible costs of communicating. The implicit exchange of effort among developers is made possible by the the non-rivalrous nature of the codebase and by the modularity and option values of the codebase’s architecture. This exchange creates value for all participants, both workers and free-riders. In contrast, the Prisoners’ Dilemma is a problem that must be surmounted if the exchanges are to take place. It can be addressed through a combination of reducing the costs of communication, providing rewards, and encouraging repeated interactions. Finally, the initial design and “opening up” of a codebase can be seen as a rational move by an architect who is seeking to test the environment in hopes of initiating exchanges of effort with other developers.
On Computing Belief Change Operations using Quantified Boolean Formulas

In this paper, we show how an approach to belief revision and belief contraction can be axiomatized by means of quantified Boolean formulas. Specifically, we consider the approach of belief change scenarios, a general framework that has been introduced for expressing different forms of belief change. The essential idea is that for a belief change scenario (K, R, C), the set of formulas K, representing the knowledge base, is modified so that the sets of formulas R and C are respectively true in, and consistent with the result. By restricting the form of a belief change scenario, one obtains specific belief change operators including belief revision, contraction, update, and merging. For both the general approach and for specific operators, we give a quantified Boolean formula such that satisfying truth assignments to the free variables correspond to belief change extensions in the original approach. Hence, we reduce the problem of determining the results of a belief change operation to that of satisfiability. This approach has several benefits. First, it furnishes an axiomatic specification of belief change with respect to belief change scenarios. This then leads to further insight into the belief change framework. Second, this axiomatization allows us to identify strict complexity bounds for the considered reasoning tasks. Third, we have implemented these different forms of belief change by means of existing solvers for quantified Boolean formulas. As well, it appears that this approach may be straightforwardly applied to other specific approaches to belief change.
The influence of similarity on visual working memory representations

In verbal memory, similarity between items in memory often leads to interference and impaired memory performance. The present study sought to determine whether analogous interference effects would be observed in visual working memory by varying the similarity of the to-be-remembered objects in a colour change detection task. Instead of leading to interference and impaired performance, increased similarity among the items being held in memory led to improved performance. Moreover, when two similar colours were presented along with one dissimilar colour, memory performance was better for the similar colours than for the dissimilar colour. Similarity produced better performance even when the objects were presented sequentially and even when memory for the first item in the sequence was tested. These findings show that similarity does not lead to interference between representations in visual working memory. Instead, similarity may lead to improved task performance, possibly due to increased stability or precision of the memory representations during maintenance.
Effect of ketoconazole on methylprednisolone pharmacokinetics and receptor/gene-mediated pharmacodynamics.

The disposition of methylprednisolone (MPL) and its metabolite, methylprednisone, and the receptor/gene-mediated pharmacodynamics of methylprednisolone were examined in control and ketoconazole-treated rats. Oral doses of ketoconazole (50 mg/kg/day) for 3 days increased plasma MPL clearance by 50% (NS) with no change in volumes of distribution. The mean residence time decreased from 0.60 +/- 0.15 (control) to 0.43 +/- 0.10 hr with ketoconazole (P less than .05) after 5 mg/kg of MPL (free alcohol). The methylprednisone to MPL area under the curve ratio decreased from 0.19 +/- 0.04 in control to 0.14 +/- 0.03 in ketoconazole-treated rats (P less than .05) due to altered interconversion between these steroids. An improved pharmacokinetic/dynamic receptor/gene-mediated model characterized the steroid receptor binding and induction of tyrosine aminotransferase activity after i.v. MPL sodium succinate (10 mg/kg). In contrast to previous in vitro studies, ketoconazole at maximally tolerated doses failed to antagonize the steroid receptor-mediated activity of MPL. Although ketoconazole at high concentrations competitively inhibited the in vitro binding of steroid to hepatic receptors, no in vivo inhibition was detected after large p.o. ketoconazole doses. Efficiency of tyrosine aminotransferase induction was slightly enhanced in ketoconazole animals. Pharmacokinetic/dynamic factors accounting for the lack of antiglucocorticoid activity primarily include the low ketoconazole receptor binding affinity.
Avian Incubation Patterns Reflect Temporal Changes in Developing Clutches

Incubation conditions for eggs influence offspring quality and reproductive success. One way in which parents regulate brooding conditions is by balancing the thermal requirements of embryos with time spent away from the nest for self-maintenance. Age related changes in embryo thermal tolerance would thus be expected to shape parental incubation behavior. We use data from unmanipulated Black-capped Chickadee (Poecile atricapillus) nests to examine the temporal dynamics of incubation, testing the prediction that increased heat flux from eggs as embryos age influences female incubation behavior and/or physiology to minimize temperature fluctuations. We found that the rate of heat loss from eggs increased with embryo age. Females responded to increased egg cooling rates by altering incubation rhythms (more frequent, shorter on- and off- bouts), but not brood patch temperature. Consequently, as embryos aged, females were able to increase mean egg temperature and decrease variation in temperature. Our findings highlight the need to view full incubation as more than a static rhythm; rather, it is a temporally dynamic and finely adjustable parental behavior. Furthermore, from a methodological perspective, intra- and inter-specific comparisons of incubation rhythms and average egg temperatures should control for the stage of incubation.
Job Disamenities, Job Satisfaction, Quit Intentions, and Actual Separations: Putting the Pieces Together

We analyze the potential role of adverse working conditions at the workplace in the determination of employees’ quit behavior. Our data contain both detailed information on perceived job disamenities, job satisfaction, and quit intentions from a cross-section survey and information on employees’ actual job switches from longitudinal register data that can be linked to the survey. Reduced-form models show that employees facing adverse working conditions tend to have greater intentions to switch jobs and search for new matches more frequently. Multivariate probit models point out that job dissatisfaction that arises in adverse working conditions is related to job search and this in turn is related to actual job switches.