bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient involvement in decision-making: a cross-sectional study in a Malaysian primary care clinic
Authors: Ambigapathy Ranjini , Chia Yook Chin , Ng Chirk Jenn 
Published: January 2016

ObjectiveShared decision-making has been advocated as a useful model for patient management. In developing Asian countries such as Malaysia, there is a common belief that patients prefer a passive role in clinical consultation. As such, the objective of this study was to determine Malaysian patients’ role preference in decision-making and the associated factors.DesignA cross-sectional study.SettingStudy was conducted at an urban primary care clinic in Malaysia in 2012.ParticipantsPatients aged >21 years were chosen using systematic random sampling.MethodsConsenting patients answered a self-administered questionnaire, which included demographic data and their preferred and actual role before and after consultation. Doctors were asked to determine patients’ role preference. The Control Preference Scale was used to assess patients’ role preference.Primary outcomePrevalence of patients’ preferred role in decision-making.Secondary outcomes(1) Actual role played by the patient in decision-making. (2) Sociodemographic factors associated with patients’ preferred role in decision-making. (3) Doctors’ perception of patients’ involvement in decision-making.ResultsThe response rate was 95.1% (470/494). Shared decision-making was preferred by 51.9% of patients, followed by passive (26.3%) and active (21.8%) roles in decision-making. Higher household income was significantly associated with autonomous role preference (p=0.018). Doctors’ perception did not concur with patients’ preferred role. Among patients whom doctors perceived to prefer a passive role, 73.5% preferred an autonomous role (p=0.900, κ=0.006).ConclusionsThe majority of patients attending the primary care clinic preferred and played an autonomous role in decision-making. Doctors underestimated patients’ preference to play an autonomous role.
Harnessing information from injury narratives in the ‘big data’ era: understanding and applying machine learning for injury surveillance
Authors: Vallmuur Kirsten , Marucci-Wellman Helen R , Taylor Jennifer A , Lehto Mark , Corns Helen L , Smith Gordon S 
Published: January 2016

ObjectiveVast amounts of injury narratives are collected daily and are available electronically in real time and have great potential for use in injury surveillance and evaluation. Machine learning algorithms have been developed to assist in identifying cases and classifying mechanisms leading to injury in a much timelier manner than is possible when relying on manual coding of narratives. The aim of this paper is to describe the background, growth, value, challenges and future directions of machine learning as applied to injury surveillance.MethodsThis paper reviews key aspects of machine learning using injury narratives, providing a case study to demonstrate an application to an established human-machine learning approach.ResultsThe range of applications and utility of narrative text has increased greatly with advancements in computing techniques over time. Practical and feasible methods exist for semiautomatic classification of injury narratives which are accurate, efficient and meaningful. The human-machine learning approach described in the case study achieved high sensitivity and PPV and reduced the need for human coding to less than a third of cases in one large occupational injury database.ConclusionsThe last 20 years have seen a dramatic change in the potential for technological advancements in injury surveillance. Machine learning of ‘big injury narrative data’ opens up many possibilities for expanded sources of data which can provide more comprehensive, ongoing and timely surveillance to inform future injury prevention policy and practice.
Cost-effective speculative scheduling in high performance processors
Authors: Perais Arthur , Seznec André , Michaud Pierre , Sembrant Andreas , Hagersten Erik 
Published: January 2016

To maximize performance, out-of-order execution processors sometimes issue instructions without having the guarantee that operands will be available in time; e.g. loads are typically assumed to hit in the L1 cache and dependent instructions are issued accordingly. This form of speculation -- that we refer to as speculative scheduling -- has been used for two decades in real processors, but has received little attention from the research community.
In particular, as pipeline depth grows, and the distance between the Issue and the Execute stages increases, it becomes critical to issue instructions dependent on variable-latency instructions as soon as possible rather than wait for the actual cycle at which the result becomes available. Unfortunately, due to the uncertain nature of speculative scheduling, the scheduler may wrongly issue an instruction that will not have its source(s) available on the bypass network when it reaches the Execute stage. In that event, the instruction is canceled and replayed, potentially impairing performance and increasing energy consumption.
In this work, we do not present a new replay mechanism. Rather, we focus on ways to reduce the number of replays that are agnostic of the replay scheme. First, we propose an easily implementable, low-cost solution to reduce the number of replays caused by L1 bank conflicts. Schedule shifting always assumes that, given a dual-load issue capacity, the second load issued in a given cycle will be delayed because of a bank conflict. Its dependents are thus always issued with the corresponding delay. Second, we also improve on existing L1 hit/miss prediction schemes by taking into account instruction criticality. That is, for some criterion of criticality and for loads whose hit/miss behavior is hard to predict, we show that it is more cost-effective to stall dependents if the load is not predicted critical.
In total, in our experiments assuming a 4-cycle issue-to-execute delay, we found that the majority of instruction replays caused by L1 data cache banks conflicts -- 78.0% -- and L1 hit mispredictions -- 96.5% -- can be avoided, thus leading to a 3.4% performance gain and a 13.4% decrease in the number of issued instructions, over a baseline pipeline with speculative scheduling.
VIP
Authors: Nachiappan Nachiappan Chidambaram , Zhang Haibo , Ryoo Jihyun , Soundararajan Niranjan , Sivasubramaniam Anand , Kandemir Mahmut T. , Iyer Ravi , Das Chita R. 
Published: January 2016

Energy-efficient user-interactive and display-oriented applications on handhelds rely heavily on multiple accelerators (termed IP cores) to meet their periodic frame processing needs. Further, these platforms are starting to host multiple applications concurrently on the multiple CPU cores. Unfortunately, today's hardware exposes an interface that forces the host software (Android drivers) to treat each IP core as an isolated device. Consequently, the host CPU has to get involved in the (i) processing of each frame, (ii) scheduling them to ensure timely progress through the IP cores to meet their QoS needs, and (iii) explicitly having to move data from one IP core to the next, with main memory serving as the common staging area.
We show in this paper through measurements on a Nexus 7 platform that the frequent invocation of the CPU for processing these frames and the involvement of main memory as a data flow conduit, are serious limitations. Instead, we propose a novel IP virtualization framework (VIP), involving three key ideas that allow several IPs to be chained together and made to appear to the software as a single device. First, chaining of IPs avoids data transfer through the memory system, enhancing the throughput of flows through the IPs. Second, by using a burst-mode, the CPU can initiate the processing of several frames through the virtual IP chain, without getting involved (and interrupted) for each frame, thereby allowing better energy saving and utilization opportunities. Removing the CPU from this loop, requires alternate orchestration of frame flows to ensure QoS guarantees for each frame of each application. Our third enhancement in VIP creates several virtual paths, one for each flow, through these IP chains with the hardware scheduling the frames to enforce QoS guarantees despite any contention for resources along the way. Our experimental evaluations demonstrate the effectiveness of VIP on energy consumption and QoS for multiple applications.
Data reorganization in memory using 3D-stacked DRAM
Authors: Akin Berkin , Franchetti Franz , Hoe James C. 
Published: January 2016

In this paper we focus on common data reorganization operations such as shuffle, pack/unpack, swap, transpose, and layout transformations. Although these operations simply relocate the data in the memory, they are costly on conventional systems mainly due to inefficient access patterns, limited data reuse and roundtrip data traversal throughout the memory hierarchy. This paper presents a two pronged approach for efficient data reorganization, which combines (i) a proposed DRAM-aware reshape accelerator integrated within 3D-stacked DRAM, and (ii) a mathematical framework that is used to represent and optimize the reorganization operations.
We evaluate our proposed system through two major use cases. First, we demonstrate the reshape accelerator in performing a physical address remapping via data layout transform to utilize the internal parallelism/locality of the 3D-stacked DRAM structure more efficiently for general purpose workloads. Then, we focus on offloading and accelerating commonly used data reorganization routines selected from the Intel Math Kernel Library package. We evaluate the energy and performance benefits of our approach by comparing it against existing optimized implementations on state-of-the-art GPUs and CPUs. For the various test cases, in-memory data reorganization provides orders of magnitude performance and energy efficiency improvements via low overhead hardware.
Flexible auto-refresh
Authors: Bhati Ishwar , Chishti Zeshan , Lu Shih-Lien , Jacob Bruce 
Published: January 2016

DRAM cells require periodic refreshing to preserve data. In JEDEC DDRx devices, a refresh operation is performed via an auto-refresh command, which refreshes multiple rows in multiple banks simultaneously. The internal implementation of auto-refresh is completely opaque outside the DRAM --- all the memory controller can do is to instruct the DRAM to refresh itself --- the DRAM handles all else, in particular determining which rows in which banks are to be refreshed. This is in conflict with a large body of research on reducing the refresh overhead, in which the memory controller needs fine-grained control over which regions of the memory are refreshed. For example, prior works exploit the fact that a subset of DRAM rows can be refreshed at a slower rate than other rows due to access rate or retention period variations. However, such row-granularity approaches cannot use the standard auto-refresh command, which refreshes an entire batch of rows at once and does not permit skipping of rows. Consequently, prior schemes are forced to use explicit sequences of activate (ACT) and precharge (PRE) operations to mimic row-level refreshing. The drawback is that, compared to using JEDEC's auto-refresh mechanism, using explicit ACT and PRE commands is inefficient, both in terms of performance and power.
In this paper, we show that even when skipping a high percentage of refresh operations, existing row-granurality refresh techniques are mostly ineffective due to the inherent efficiency disparity between ACT/PRE and the JEDEC auto-refresh mechanism. We propose a modification to the DRAM that extends its existing control-register access protocol to include the DRAM's internal refresh counter. We also introduce a new "dummy refresh" command that skips refresh operations and simply increments the internal counter. We show that these modifications allow a memory controller to reduce as many refreshes as in prior work, while achieving significant energy and performance advantages by using auto-refresh most of the time.
Mitochondrial DNA Repair through OGG1 Activity Attenuates Breast Cancer Progression and Metastasis
Authors: Yuzefovych Larysa V. , Kahn Andrea G. , Schuler Michele A. , Eide Lars , Arora Ritu , Wilson Glenn L. , Tan Ming , Rachek Lyudmila I. 
Published: January 2016

Abstract
Production of mitochondrial reactive oxygen species and integrity of mitochondrial DNA (mtDNA) are crucial in breast cancer progression and metastasis. Therefore, we evaluated the role of mtDNA damage in breast cancer by genetically modulating the DNA repair enzyme 8-oxoguanine DNA glycosylase (OGG1) in the PyMT transgenic mouse model of mammary tumorigenesis. We generated mice lacking OGG1 (KO), mice overexpressing human OGG1 subunit 1α in mitochondria (Tg), and mice simultaneously lacking OGG1 and overexpressing human OGG1 subunit 1α in mitochondria (KO/Tg). We found that Tg and KO/Tg mice developed significantly smaller tumors than KO and wild-type (WT) mice after 16 weeks. Histologic analysis revealed a roughly 2-fold decrease in the incidence of lung metastases in Tg mice (33.3%) compared to WT mice (62.5%). Furthermore, lungs from Tg mice exhibited nearly a 15-fold decrease in the average number of metastatic foci compared with WT mice (P ≤ 0.05). Primary tumors isolated from Tg mice also demonstrated reduced total and mitochondrial oxidative stress, diminished mtDNA damage, and increased mitochondrial function. Targeting hOGG1 to the mitochondria protected cells from mtDNA damage, resulting in downregulation of HIF1α and attenuated phosphorylation of Akt. Collectively, we demonstrate proof of concept that mtDNA damage results in breast cancer progression and metastasis in vivo. Moreover, our findings offer new therapeutic strategies for modulating the levels of mtDNA repair enzymes to delay or stall metastatic progression. Cancer Res; 76(1); 30–34. ©2015 AACR.
Tumor Heterogeneity—A ‘Contemporary Concept’ Founded on Historical Insights and Predictions
Authors: Welch Danny R. 
Published: January 2016

Abstract
Heterogeneity is commonplace in all cancer types and at several levels—intrinsic (genetic), epigenetic, positional, and at the population level. The different subpopulations with a tumor mass communicate with each other and influence the behavior of other tumor cells both locally and at a distance. These properties have profound implications regarding the understanding of tumor behavior and how therapies are (or should be) administered. This brief commentary highlights the insightful review of Gloria Heppner and how it has influenced cancer research even three decades after it was published. Cancer Res; 76(1); 4–6. ©2016 AACR.
See related article by Heppner, Cancer Res 1984;44:2259-65.
Coadministration of Trametinib and Palbociclib Radiosensitizes KRAS-Mutant Non–Small Cell Lung Cancers In Vitro and In Vivo
Authors: Tao Zhen , Le Blanc Justin M. , Wang Chenguang , Zhan Tingting , Zhuang Hongqing , Wang Ping , Yuan Zhiyong , Lu Bo 
Published: January 2016

Abstract
Purpose: To investigate the potential roles that p16 (CDKN2A) and RB activation have in sensitization to MEK inhibitor in resistant KRAS-mutant non–small cell lung cancer cells (NSCLC) in vitro and in vivo.
Experimental Design: Cell viability was measured with MTS assays. Effects of administration of radiation and combination drug treatments were evaluated by clonogenic assay, flow cytometry, and Western blots. DNA repair was assessed using immunofluorescent analysis. Finally, lung cancer xenografts were used to examine in vivo effects of drug treatment and radiation therapy.
Results: In this study, we showed that sensitivity to MEK inhibitor correlated to the RB/p16/CDK4 pathway and knockdown of RB induced resistance in cell lines sensitive to MEK inhibitor. Also, overexpression of p16 and inhibition of CDK4 had the ability to sensitize normally resistant cell lines. Our data indicated that the MEK inhibitor (trametinib, GSK112012) cooperated with the CDK4/6 inhibitor (palbociclib, PD0332991) to strongly reduce cell viability of KRAS-mutant NSCLCs that were resistant to the MEK inhibitor in vitro and in vivo. In addition, we report for the first time that resistance of KRAS-mutant NSCLCs to MEK inhibitor is, at least partly, due to p16 mutation status, and we described a drug combination that efficiently reactivates the RB tumor suppressor pathway to trigger radiosensitizing effects, apoptosis, and cell-cycle arrest.
Conclusions: Our findings suggest that MEK inhibitor in combination with CDK4/6 inhibitor has significant anti-KRAS–mutant NSCLC activity and radiosensitizing effect in preclinical models, potentially providing a novel therapeutic strategy for patients with advanced KRAS-mutant NSCLCs. Clin Cancer Res; 22(1); 122–33. ©2016 AACR.
Intraseasonal Variability of the Zonal-Mean Extratropical Tropopause: The Role of Changes in Polar Vortex Strength and Upper-Troposphere Wave Breaking
Authors: Barroso Jesús Á. , Zurita-Gotor Pablo 
Published: January 2016

Abstract
A principal component analysis of the Northern Hemisphere extratropical zonal-mean tropopause variability at intraseasonal time scales is presented in this work. Wavy deformations of the tropopause dominate this variability and explain significantly more variance than changes in the extratropical-mean tropopause height. The first mode is well correlated with the zonal index. Analysis of the dynamical evolution of the modes shows that tropopause deformations are caused by anomalous wave breaking at the tropopause level occurring in a preexisting anomalous stratospheric polar vortex. Specifically, an intense (weak) polar vortex is associated with a rising (sinking) of the polar tropopause, while anomalous wave breaking in the midlatitudes produces a dipolar tropopause change that is consistent with the anomalous meridional eddy flux of quasigeostrophic potential vorticity. These two forcings operate on different time scales and can be separated when the data are filtered at high or low frequency. Baroclinic equilibration seems to play a small role in the extratropical internal tropopause variability and the impact of tropospheric and stratospheric dynamics is quantitatively similar. A similar analysis for the Southern Hemisphere extratropics displays the same qualitative behavior.
Anomalous Price Behaviour around Open Market Stock Repurchase Announcements in India
Authors: Chatterjee Chanchal , Dutta Paromita 
Published: January 2016

Executive Summary This article examines the impact of open market share repurchase announcements on stock returns in the Bombay Stock Exchange (BSE). The main objective is to examine whether share repurchase announcements under the open market route have any significant impact on the returns of the stocks traded in the BSE. The article covers the period from 2009 to 2013. For sample selection, two criteria were used: first, the firm should have been listed in the BSE for at least 28 trading days before the repurchase announcement date, and second, the firm should have all relevant data required by this study. A total of 95 repurchase announcements fulfilled these criteria. The analysis period extended from –28 to +28 trading days relative to the repurchase announcement date ( t = 0). The findings of the study will help us to understand how the market responds to share repurchase announcements in India and whether a firm actually benefits by repurchasing its own shares from the market. This study uses a standard event methodology based on an ordinary least squares market model with the aim of finding out whether repurchase announcements generate any abnormal return around the repurchase announcement date. While applying the market model for estimating the abnormal returns, the regression is estimated based on the stock return of the firm and market return of the previous 120 trading days. So, here the estimation window takes into account 120 observations. Using this, the expected returns are generated and then the abnormal returns are derived for the event window, 28 days prior to the event date and 28 days after the event date. The findings of the study indicate that share repurchase announcements do not necessarily generate abnormal stock returns in the Indian equity market unlike developed economies like the US, Canada, and Australia. The whole sample is further divided into various subsamples on the basis of firm size and size of repurchase. The subsample analyses reveal that smaller firms do not necessarily experience higher abnormal stock returns following repurchase announcements than that of the larger firms. The findings weakly support the view that larger repurchase size generates greater abnormal stock returns than the smaller ones.
Corporate Board Structure in the United States and India: A Comparative View
Authors: Mehrotra Shweta 
Published: January 2016

This study contributes to the existing body of knowledge concerning corporate governance practices by examining the corporate board and governance structures of American and Indian listed companies in a comparative study. Two hundred companies have been considered out of which 100 companies are listed on NYSE (New York Stock Exchange) and 100 companies are listed on BSE (Bombay Stock Exchange). T-test has been used for comparison between sample means from the two data sets (United States and India). To measure the year-wise variation in the mean values of variables, one-way ANOVA (analysis of variance) has been applied. Results of the study demonstrates that boards of US listed companies are relatively larger with majority of independent directors on board, prominence of combined board leadership structure and relatively more gender diverse as compared to Indian boards. The paper can be quite useful to academics and policy makers in terms of understanding developed and developing country corporate governance structures.
Pyometra in the queen
Authors: Hollinshead Fiona , Krekeler Natali 
Published: January 2016

Practical relevance: Pyometra is a commonly occurring uterine disease in cats that often leads to loss of breeding potential and, in some cases, can be life threatening. An increased incidence of cystic endometrial hyperplasia (CEH) and pyometra is seen with age. Most queens present with uterine lesions after 5–7 years of age (average 7.6 years, range 1–20 years). Clinical signs most commonly occur within 4 weeks of the onset of oestrus in queens that are either mated, spontaneously ovulate or are induced to ovulate (mechanical stimulation or hormone induction). The disease is most often observed in dioestrus. Clinical challenges: Queens with pyometra often go undiagnosed as there may be few or only very mild clinical signs and laboratory changes. For example, the classic sign of mucopurulent bloody vulvar discharge often goes unnoticed. Abdominal ultrasound is the best tool for diagnosis of pyometra and for monitoring response to therapy. Patient group: Classically, middle-aged/older nulliparous intact queens present with pyometra. However, so-called ‘stump pyometra’ can occur if ovarian tissue is left behind during ovariectomy or ovariohysterectomy (ovarian remnant syndrome). Queens treated with exogenous steroid hormones such as high doses of megestrol acetate or medroxyprogesterone acetate for oestrus prevention can also develop CEH and pyometra. Evidence base: There has been little published to date on CEH, endometritis and pyometra in the queen and most of the currently available information has been extrapolated from studies carried out in the bitch. The queen and the bitch have very different reproductive physiology; thus, further research and investigation into the precise aetiopathogenesis of these disease processes of the uterus in the queen is warranted. Audience: This review is aimed at clinicians working in small animal practice, especially those in countries where surgical sterilisation is not practised as commonly as in the United States, Canada or Australasia, and who will therefore see a greater proportion of intact queens.