Mobility management in multi-tier LiFi networks

Mobility management is an important part of the analysis and design of ultra-dense LiFi networks. This paper presents a two-tier LiFi network and analyses the cross-tier handover rate between the primary and secondary cells. For different conditions of semiangle at half illuminance of the primary and secondary cells, we propose three different coverage models for the secondary cells. Using stochastic geometry, closed-form expressions are derived for the cross-tier handover rate, ping-pong rate and sojourn time in terms of the received optical signal intensity, time-to-trigger and user mobility. The analytical models are validated with simulation results

Energy and spectral efficiency of multi-tier LiFi networks

In this paper, multi-tier LiFi networks are studied in terms of energy efficiency (EE) and spectral efficiency (SE), which are crucial metrics for LiFi system design. We derived a closed-form expression of the user association probability for different tiers using stochastic geometry based Poisson Voronoi Tessellation (PVT) LiFi network. The performance metrics of the network, EE and SE, are analyzed in terms of different parameters such as transmit power and Lambertian index. Performance evaluations and numerical results show that multi-tier LiFi networks have an optimum transmit power in which EE is maximized. Besides, increasing the transmit power does not increase SE after passing a threshold point. The resulting trade-off between EE and SE is presented

The Function Biomedical Informatics Research Network Data Repository

The Function Biomedical Informatics Research Network (FBIRN) developed methods and tools for conducting multi-scanner functional magnetic resonance imaging (fMRI) studies. Method and tool development were based on two major goals: 1) to assess the major sources of variation in fMRI studies conducted across scanners, including instrumentation, acquisition protocols, challenge tasks, and analysis methods, and 2) to provide a distributed network infrastructure and an associated federated database to host and query large, multi-site, fMRI and clinical datasets. In the process of achieving these goals the FBIRN test bed generated several multi-scanner brain imaging data sets to be shared with the wider scientific community via the BIRN Data Repository (BDR). The FBIRN Phase 1 dataset consists of a traveling subject study of 5 healthy subjects, each scanned on 10 different 1.5 to 4 Tesla scanners. The FBIRN Phase 2 and Phase 3 datasets consist of subjects with schizophrenia or schizoaffective disorder along with healthy comparison subjects scanned at multiple sites. In this paper, we provide concise descriptions of FBIRN’s multi-scanner brain imaging data sets and details about the BIRN Data Repository instance of the Human Imaging Database (HID) used to publicly share the data

A hypothermia case with early onset schizophrenia treated with clozapine

The usage of antipsychotics in children and adolescents increase in the general of the world and it was reported that 90% of these antipsychotics were atypical antipsychotic by researchers. Clozapine is considered to be the prototype of the atypical antipsychotics, as it was the first to be recognized as having less extrapyramidal side effects, not causing tardive dyskinesia, and not elevating prolactin. Clozapine is not a first choice antipsychotic but it can be used when other antipsychotics cannot be effective. Atypical antipsychotics, also clozapine, alter ability of body to regulate response to changes in temperature and humidity, patients may become hypothermic or hyperthermic; more likely in temperature changes due to inhibition of the hypothalamic control area. Transient temperature alteration can occur with clozapine in up to 50% of patients, usually within the first three weeks of treatment. In this article we present a 17 years old male adolescent with early onset schizophrenia. Although three different atypical antipsychotics were used and there was no treatment response in that case. After clozapine was administered, transient thermoregulation alteration was seen at the beginning of the treatment

Effectiveness and adverse effects of methylphenidate treatment in children diagnosed with disruptive mood dysregulation disorder and attention-deficit hyperactivity disorder: a preliminary report

Objective: Comorbidity with attention deficit hyperactivity disorder (ADHD) and disruptive mood dysregulation disorders (DMDD) is very common in children and adolescents In this study, we aimed to present a retrospective study of methylphenidate (MPH) treatment in 12 cases who were diagnosed with DMDD and ADHD. Method: All patients were followed-up in our outpatient clinic and the effectiveness and side effects of MPH were explored. Mood Symptom Questionnaire (MSQ-7) and Clinical Global Impression-Severity (CGI-S) were used for assessing the mood symptoms and their severity. Results: The differences between initiation time and the end-point time in CGI-S and MSQ-7 scores were statistically significant. Conclusion: In this present study, the usage of MPH was found to lead to an increase in irritability in children with ADHD and DMDD evidently