Optimal Parameter Extraction Scheme of Current Sources and Bias Dependent Elements for HBT by searching the whole unknown Parameter Space

New analytical expressions for the dynamic resistance,transconductance,base-collector internal capacitance,and base-emitter internal capacitance are derived.And a new scheme,to extract the current source parameters,thermal parameter,and small signal parameters at multiple bias points on the normal active region,is developed.The proposed parameter extraction method is robust and very fast.Based on these equations, we propose a new scheme to find out the optimal solution by searching for a full-unknown parameter space.The search space corresponds to 1.17x10 8 points on the error surface, and it takes 12.6 hours to get an optimal model parameters using a 2GHz-desktop PC.This scheme is helpful for the modeling of HBT excluding the local minimum problem in the gradient optimization method and the inaccuracies in the direct extraction method

An air-stable N-heterocyclic carbene iminoxyl borate radical zwitterion

A remarkably stable radical zwitterion derived from N-heterocyclic carbene nitric oxide and B(C6F5)(3) is reported. The presented radical was generated by steric and electronic protection of the nitric oxide moiety using B(C6F5)(3), which secured its stability toward air and moisture. An analogous yet less stable radical derived from C(C6H5)(3)(+) is also synthesized and characterized.111Ysciescopu

HEAM : Hashed Embedding Acceleration using Processing-In-Memory

In today's data centers, personalized recommendation systems face challenges such as the need for large memory capacity and high bandwidth, especially when performing embedding operations. Previous approaches have relied on DIMM-based near-memory processing techniques or introduced 3D-stacked DRAM to address memory-bound issues and expand memory bandwidth. However, these solutions fall short when dealing with the expanding size of personalized recommendation systems. Recommendation models have grown to sizes exceeding tens of terabytes, making them challenging to run efficiently on traditional single-node inference servers. Although various algorithmic methods have been proposed to reduce embedding table capacity, they often result in increased memory access or inefficient utilization of memory resources. This paper introduces HEAM, a heterogeneous memory architecture that integrates 3D-stacked DRAM with DIMM to accelerate recommendation systems in which compositional embedding is utilized-a technique aimed at reducing the size of embedding tables. The architecture is organized into a three-tier memory hierarchy consisting of conventional DIMM, 3D-stacked DRAM with a base die-level Processing-In-Memory (PIM), and a bank group-level PIM incorporating lookup tables. This setup is specifically designed to accommodate the unique aspects of compositional embedding, such as temporal locality and embedding table capacity. This design effectively reduces bank access, improves access efficiency, and enhances overall throughput, resulting in a 6.3 times speedup and 58.9% energy savings compared to the baseline.Comment: 10 pages, 12 figure

The experiences of depressed pregnant women participating in a cognitive behavioral therapy program via video communication: an exploratory qualitative study

Purpose This study explored the experiences of pregnant women with depressed mood participating in a group cognitive behavioral therapy (CBT) program using video communication, based on Beck’s cognitive theory. Methods The participants were six pregnant women out of 13 women who had participated in an 8-session group CBT program using video communication for women with depressed mood (Edinburgh Postnatal Depression score of ≥9). Data were collected from February 20 through March 25, 2021. In-depth individual interviews were conducted through a video conferencing platform at 1 month post-baseline. Thematic analysis was done. Results Three themes, 10 subthemes, and 38 concepts were derived from experiences of participating in the 4-week group CBT program (twice a week). The first theme, entitled “continuing realization” had subthemes of “a negative and instable self,” “a selfish judgment that excludes others,” and “a strong belief in self-control.” The second theme, entitled “attempt to change for restoration” had subthemes of “shift to rational thinking,” “freedom from suppressed beliefs,” “tolerance of other people,” and “courage for self-expression.” The third theme, entitled “departure for a positive life,” had subthemes of “emotional healing,” “faith in oneself,” and “reestablishing the criteria for happiness.” Conclusion Pregnant women with depressed mood expressed that continuing realizations and attempts to change supported their transition toward a positive direction of healing. Thus, they were able to change their distorted thinking into rational thinking through CBT using video communication. These findings support the use of group CBT using video communication with pregnant women who have depressed mood

Development of an approximate construction duration prediction model during the project planning phase for general office buildings

Accurate prediction of the construction duration is imperative to the reliable cash flow analysis during the project planning phase when feasibility analysis is carried out. However, lack of information and frequent changes that occur as a result of a negotiation process between the owner and the designer in defining the project scope make it difficult to compute real-time construction duration. Domestic and foreign models for calculating the construction durations cannot be readily applied to computation of construction duration for general office buildings in Korea specifically during the project planning phase as there is a limit in its applicability due to numerous restrictions. Moreover, there are no preceding studies suggesting different computational approaches to predict the entire construction duration for office buildings with the approximate construction duration concept during planning phase. Therefore, based on the collected performance data, this study proposes a multiple linear regression model that facilitates reliable prediction of approximate construction duration for office buildings in the project planning phase. The model will allow the owner and other stakeholders to predict the real-time construction duration using the basic information on office buildings and to assess the construction durations incorporating frequent changes during the project planning phase

Brief psychological intervention for distress tolerance in an adult secondary care community mental health service:an evaluation

Distress intolerance has been suggested to be a maintaining factor in several mental health conditions. Distress tolerance skills training has been found to be beneficial in emotionally unstable personality disorder (EUPD) and post-traumatic stress disorder (PTSD). Short-term targeted interventions are increasingly being implemented in response to demand. This study investigates the efficacy of a distress tolerance brief psychological intervention (DT BPI) delivered by non-psychologists within an adult secondary care mental health service. Questionnaire data (pre and post) are reported from 43 participants who completed the intervention. Results suggest that the intervention was associated with significant improvements in distress tolerance, mood, anxiety and wellbeing. This indicates that a DT BPI can be effective when delivered by non-psychologists to real-world adult secondary care clients. The findings offer promising evidence that DT BPI could be a beneficial, cost-effective intervention and warrants further large-scale investigation. Key learning aims To enhance practitioners' awareness of distress intolerance as a potential maintaining factor and therefore treatment target. To outline a transdiagnostic distress tolerance brief psychological intervention. To illustrate the potential of this distress tolerance brief psychological intervention to produce positive reliable change with real-world clients when delivered by non-psychologists

An explanatory randomised controlled trial of a nurse-led, consultation-based intervention to support patients with adherence to taking glucose lowering medication for type 2 diabetes.

BACKGROUND: Failure to take medication reduces the effectiveness of treatment leading to increased morbidity and mortality. We evaluated the efficacy of a consultation-based intervention to support objectively-assessed adherence to oral glucose lowering medication (OGLM) compared to usual care among people with type 2 diabetes. METHODS: This was a parallel group randomised trial in adult patients with type 2 diabetes and HbA1c ≥ 7.5% (58 mmol/mol), prescribed at least one OGLM. Participants were allocated to a clinic nurse delivered, innovative consultation-based intervention to strengthen patient motivation to take OGLM regularly and support medicine taking through action-plans, or to usual care. The primary outcome was the percentage of days on which the prescribed dose of medication was taken, measured objectively over 12 weeks with an electronic medication-monitoring device (TrackCap, Aardex, Switzerland). The primary analysis was intention-to-treat. RESULTS: 211 patients were randomised between July 1, 2006 and November 30, 2008 in 13 British general practices (primary care clinics). Primary outcome data were available for 194 participants (91.9%). Mean (sd) percentage of adherent days was 77.4% (26.3) in the intervention group and 69.0% (30.8) in standard care (mean difference between groups 8.4%, 95% confidence interval 0.2% to 16.7%, p = 0.044). There was no significant adverse impact on functional status or treatment satisfaction. CONCLUSIONS: This well-specified, theory based intervention delivered in a single session of 30 min in primary care increased objectively measured medication adherence, with no adverse effect on treatment satisfaction. These findings justify a definitive trial of this approach to improving medication adherence over a longer period of time, with clinical and cost-effectiveness outcomes to inform clinical practice.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

5G 3GPP-like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments

For the development of new 5G systems to operate in bands up to 100 GHz, there is a need for accurate radio propagation models at these bands that currently are not addressed by existing channel models developed for bands below 6 GHz. This document presents a preliminary overview of 5G channel models for bands up to 100 GHz. These have been derived based on extensive measurement and ray tracing results across a multitude of frequencies from 6 GHz to 100 GHz, and this document describes an initial 3D channel model which includes: 1) typical deployment scenarios for urban microcells (UMi) and urban macrocells (UMa), and 2) a baseline model for incorporating path loss, shadow fading, line of sight probability, penetration and blockage models for the typical scenarios. Various processing methodologies such as clustering and antenna decoupling algorithms are also presented.Comment: To be published in 2016 IEEE 83rd Vehicular Technology Conference Spring (VTC 2016-Spring), Nanjing, China, May 201