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Background: Cytidine deaminase (CDA) polymorphisms may affect the response to gemcitabine/cisplatin chemotherapy in patients with non-small cell lung cancer (NSCLC). This study is designed to investigate the associations of CDA-79A>C and 208G>A polymorphisms and gemcitabine/cisplatin chemotherapy effectiveness in Xinjiang Uyghur and Han patients. Methods: This prospective cohort study enrolled consecutive patients with stage IIIb/IV NSCLC administered gemcitabine/cisplatin chemotherapy at the First Affiliated Hospital, Medical College of Shihezi University and the First People’s Hospital, Kashgar Region. CDA-A79C and CDA-G208A polymorphisms were detected by direct sequencing. Progression-free survival was analyzed by the Kaplan-Meier method. Associations of A79C and G208A polymorphisms with treatment effectiveness and progression-free survival were analyzed using logistic regression and multivariate Cox regression analyses. Subgroup analyses based on ethnicity were performed. Results: The study enrolled 120 patients. A79C and G208A polymorphisms followed the Hardy-Weinberg equilibrium. The frequencies of the AA, AC, and CC genotypes and the A and C alleles of A79C were 52.2%, 29.9%, 17.9%, 67.2%, and 32.8%, respectively, in Han patients and 75.4%, 18.9%, 5.7%, 84.9%, and 5.1%, respectively, in Uyghur patients. Uyghur patients had lower frequencies of A79C-AC/CC genotypes, A79C-C allele, G208A-GA genotype, and G208A-A allele ( PConclusion: For Uyghur and Han ethnic groups, A79C and G208A polymorphisms can be used as a promising biomarker for the chemotherapy efficacy and prognosis of NSCLC.

This paper introduces architecture with high throughput, low on-chip memory, and efficient data access for Improved Dense Trajectories (iDT) as video representations for realtime action recognition. The iDT feature can capture longterm motion cues better than any existing deep feature, which makes it crucial in state-of-the-art action recognition systems. There are three major features in our architecture design, including a low bandwidth frame-wise feature extraction, low on-chip memory architecture for point tracking, and two-stage trajectory pruning architecture for low bandwidth. Using TSMC 40nm technology, our chip area is 3.1 mm2, and the size of on-chip memory is 40.8 kB. The chip can support videos in resolution of 320×240 with a throughput of 203 fps under 215 MHz, which is a 81.2 times speedup compared with CPU. Under the same operating frequency, it can also provide feature extraction for six windows of size 320 × 240 in higher resolution videos with a throughput of 34 fps.

In this paper, we propose a compact hardware architecture which can support HOG, HOF, MBHx and MBHy feature extraction in real-time. To achieve low-cost hardware, we first design a hardware-oriented algorithm. In addition to simplification of complicated numeric computation, we also modify the computation of the gradient at boundary to reduce on-chip buffers. The architecture is highly parallel in order to fully reuse input data and to achieve high throughput. Other features of our architecture include a four-bank memory composed of four SRAMs, a 2-cycle weighted binning, and a 2-port memory for histogram collection. The final specification can support HOG, HOF, MBHx, and MBHy feature extraction with a throughput of 65 fps in full-HD videos operating at 215 MHz, consuming only 57.6 kB on-chip memory and a gate count of 411k.

In this paper, we propose an accelerated local feature extraction in a reuse scheme for action recognition. Most local features of the previous frame could be reused due to the high correlation between successive frames. Feature extraction is only needed to be applied partially in the current frame. The full-frame features of the current frame are combined by features extracted at different times. Experimental results show that the proposed reuse scheme can achieve comparable performance to full-frame feature extraction while computational effort is reduced significantly.

Objective The aim of this study was to evaluate the factors related to outcome regarding in–intensive care unit (ICU) cardiac arrest (IICA) in a university hospital. Patients and Methods Adult nontraumatic ICU patients who sustained IICA were prospectively enrolled. Several patient and event-related variables, as well as outcomes, were recorded and summarized based on the revised Utstein-style template. Results A total of 202 episodes of IICA happened during the study period. Return of spontaneous circulation (ROSC) was achieved in 127 patients (62.9%), whereas the overall survival-to-discharge rate was 15.3% (31 patients). In univariate analysis, a shorter duration of resuscitation and pulseless ventricular tachycardia/ventricular fibrillation (VT/VF) as initial arrest rhythm represented better outcomes. Independent predictors of survival to hospital discharge were VT/VF as the initial rhythm (odds ratio [OR], 3.81; 95% confidence interval [CI], 1.50-9.67; P = .005), lower Acute Physiology and Chronic Health Evaluation II score (OR 0.92, 95% CI 0.87-0.98, P = .008), and shorter resuscitation durations (OR 0.91, 95% CI 0.87-0.96, P Conclusion Shorter resuscitation duration and initial VT/VF are predictors for both ROSC and hospital survival, whereas lower Acute Physiology and Chronic Health Evaluation II scores predict the latter.