Efficient and Robust Neuromorphic Computing Design

In recent years, brain inspired neuromorphic computing system (NCS) has been intensively studied in both circuit level and architecture level. NCS has demonstrated remarkable advantages for its high-energy efficiency, extremely compact space occupation and parallel data processing. However, due to the limited hardware resources, severe IR-Drop and process variation problems for synapse crossbar, and limited synapse device resolution, it’s still a great challenge for hardware NCS design to catch up with the fast development of software deep neural networks (DNNs). This dissertation explores model compression and acceleration methods for deep neural networks to save both memory and computation resources for the hardware implementation of DNNs. Firstly, DNNs’ weights quantization work is presented to use three orthogonal methods to learn synapses with one-level precision, namely, distribution-aware quantization, quantization regularization and bias tuning, to make image classification accuracy comparable to the state-ofthe-art. And then a two-step framework named group scissor, including rank clipping and group connection deletion methods, is presented to address the problems on large synapse crossbar consuming and high routing congestion between crossbars. Results show that after applying weights quantization methods, accuracy drop can be well controlled within negligible level for MNIST and CIFAR-10 dataset, compared to an ideal system without quantization. And for the group scissor framework method, crossbar area and routing area could be reduced to 8% (at most) of original size, indicating that the hardware implementation area has been saved a lot. Furthermore, the system scalability has been improved significantly

Meeting the 24-Hour Movement Guidelines and Outcomes in Adolescents with ADHD: A Cross-Sectional Observational Study

According to the 24-Hour Movement Guidelines, meeting daily recommendations for physical activity, sleep, and screen time is important for obtaining optimal health benefits. This cross-sectional observational study aimed to examine (a) the prevalence of meeting the movement guidelines; and (b) the associations between meeting the guidelines and selected outcomes in adolescents with attention-deficit/hyperactivity disorder (ADHD). Data from the 2018–2019 National Survey for Children’s Health dataset was used. Participants were adolescents (10–17 years) with ADHD and without other chronic conditions. Outcomes were flourishing, school engagement, and body weight status. Exposures of interest were adherence to the movement guidelines. The frequency of the participants’ adherence to the guidelines was estimated, and regression analyses were conducted to examine the associations between adherence to the guidelines and outcomes, adjusting for potential confounders. Complete observations were available for 634 adolescents with ADHD. Overall, 46.8% of the participants met at least one movement guideline, but only 6.5% met all three. The number of guidelines met had a significant and positive association with flourishing and school engagement (β = 0.21/0.17, ptrend \u3c 0.001). Compared with meeting all three guidelines, significant associations with lower flourishing levels were found in participants who met none, sleep only, and sedentary time only (β = −0.38–−0.13, p \u3c 0.05). Similar findings were identified in the school engagement outcome. Adherence to the guidelines was, however, not significantly associated with the odds of being overweight or obese. Collectively, the findings suggest the movement guidelines may be appropriate for extending to adolescents with ADHD and there is a need to increase adherence to the guidelines in this group

Pengaruh Saat Defoliasi Batang Atas Terhadap Pertumbuhan Dan Keberhasilan Grafting Durian (Durio Zibethinus Murr.)

Perbanyakan tanaman secara vegetatif dengan teknik sambung pucuk (grafting) adalah salah satu cara untuk mempertahankan sifat unggul tanaman durian. Rendahnya persentase keberhasilan sambung pucuk merupakan permasalahan yang sering dihadapi oleh petani. Defoliasi pada batang atas adalah salah satu cara yang dapat dilakukan untuk meningkatkan keberhasilan dan laju tumbuh tanaman hasil sambungan. Penelitian ini bertujuan untuk mendapatkan saat defoliasi batang atas yang tepat untuk meningkatkan pertumbuhan dan keberhasilan grafting durian. Penelitian ini dilaksanakan di Kebun Pembibitan Asosiasi Pembibitan Hortikultura Kecamatan Wonosalam, Kabupaten Jombang, Provinsi Jawa Timur Balai Penelitian Tanaman Aneka Kacang dan Umbi, Jalan Raya Kendalpayak, Kabupaten Malang, Jawa Timur dan Laboratorium Fisiologi Tumbuhan, Kultur Jaringan dan Mikroteknik Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Brawijaya, Malang. Penelitian dilakukan pada bulan Februari hingga Juni 2015. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK) dengan faktor tunggal yaitu perbedaan saat defoliasi batang atas yang terdiri dari 5 taraf perlakuan dan diulang 3 kali, sehingga diperoleh 15 satuan percobaan. Perlakuan tersebut terdiri dari defoliasi batang atas pada hari penyambungan (0 HSS), defoliasi batang atas 3 hari sebelum sambung (3 HSS), defoliasi batang atas 6 hari sebelum sambung (6 HSS), defoliasi batang atas 9 hari sebelum sambung (9 HSS) dan defoliasi batang atas 12 hari sebelum sambung (12 HSS). Hasil penelitian menunjukkan bahwa saat defoliasi batang atas 12 HSS cenderung meningkatkan pertumbuhan tanaman durian hasil grafting. Akan tetapi, masing-masing perlakuan yang diberikan tidak meningkatkan persentase keberhasilan grafting durian

Effective recognition of facial micro-expressions with video motion magnification

Facial expression recognition has been intensively studied for decades, notably by the psychology community and more recently the pattern recognition community. What is more challenging, and the subject of more recent research, is the problem of recognizing subtle emotions exhibited by so-called micro-expressions. Recognizing a micro-expression is substantially more challenging than conventional expression recognition because these micro-expressions are only temporally exhibited in a fraction of a second and involve minute spatial changes. Until now, work in this field is at a nascent stage, with only a few existing micro-expression databases and methods. In this article, we propose a new micro-expression recognition approach based on the Eulerian motion magnification technique, which could reveal the hidden information and accentuate the subtle changes in micro-expression motion. Validation of our proposal was done on the recently proposed CASME II dataset in comparison with baseline and state-of-the-art methods. We achieve a good recognition accuracy of up to 75.30% by using leave-one-out cross validation evaluation protocol. Extensive experiments on various factors at play further demonstrate the effectiveness of our proposed approach

HGF-Induced PKCζ Activation Increases Functional CXCR4 Expression in Human Breast Cancer Cells

The chemokine receptor CXCR4 and its ligand CXCL12 have been shown to mediate the metastasis of many malignant tumors including breast carcinoma. Interaction between hepatocyte growth factor (HGF) and the Met receptor tyrosine kinase mediates development and progression of cancers. HGF is able to induce CXCR4 expression and contributes to tumor cell invasiveness in breast carcinoma. However, the mechanism of the CXCR4 expression modulated by c-Met-HGF axis to enhance the metastatic behavior of breast cancer cells is still unclear. In this study, we found that HGF induced functional CXCR4 receptor expression in breast cancer cells. The effect of HGF was specifically mediated by PKCζ activity. After transfection with PKCζ-siRNA, the phosphorylation of PKCζ and CXCR4 was abrogated in breast cancer cells. Interference with the activation of Rac1, a downstream target of HGF, prevented the HGF-induced increase in PKCζ activity and CXCR4 levels. The HGF-induced, LY294002-sensitive translocation of PKCζ from cytosol to plasma membrane indicated that HGF was capable of activating PKCζ, probably via phosphoinositide (PI) 3-kinases. HGF treatment also increased MT1-MMP secretion. Inhibition of PKCζ, Rac-1 and phosphatidylinositol 3-kinase may attenuate MT1-MMP expression in cells exposed to HGF. Functional manifestation of the effects of HGF revealed an increased ability for migration, chemotaxis and metastasis in MDA-MB-436 cells in vitro and in vivo. Our findings thus provided evidence that the process of HGF-induced functional CXCR4 expression may involve PI 3-kinase and atypical PKCζ. Moreover, HGF may promote the invasiveness and metastasis of breast tumor xenografts in BALB/c-nu mice via the PKCζ-mediated pathway, while suppression of PKCζ by RNA interference may abrogate cancer cell spreading

Genetics and Pathogenesis of Diffuse Large B-Cell Lymphoma.

BACKGROUND: Diffuse large B-cell lymphomas (DLBCLs) are phenotypically and genetically heterogeneous. Gene-expression profiling has identified subgroups of DLBCL (activated B-cell-like [ABC], germinal-center B-cell-like [GCB], and unclassified) according to cell of origin that are associated with a differential response to chemotherapy and targeted agents. We sought to extend these findings by identifying genetic subtypes of DLBCL based on shared genomic abnormalities and to uncover therapeutic vulnerabilities based on tumor genetics. METHODS: We studied 574 DLBCL biopsy samples using exome and transcriptome sequencing, array-based DNA copy-number analysis, and targeted amplicon resequencing of 372 genes to identify genes with recurrent aberrations. We developed and implemented an algorithm to discover genetic subtypes based on the co-occurrence of genetic alterations. RESULTS: We identified four prominent genetic subtypes in DLBCL, termed MCD (based on the co-occurrence of MYD88L265P and CD79B mutations), BN2 (based on BCL6 fusions and NOTCH2 mutations), N1 (based on NOTCH1 mutations), and EZB (based on EZH2 mutations and BCL2 translocations). Genetic aberrations in multiple genes distinguished each genetic subtype from other DLBCLs. These subtypes differed phenotypically, as judged by differences in gene-expression signatures and responses to immunochemotherapy, with favorable survival in the BN2 and EZB subtypes and inferior outcomes in the MCD and N1 subtypes. Analysis of genetic pathways suggested that MCD and BN2 DLBCLs rely on "chronic active" B-cell receptor signaling that is amenable to therapeutic inhibition. CONCLUSIONS: We uncovered genetic subtypes of DLBCL with distinct genotypic, epigenetic, and clinical characteristics, providing a potential nosology for precision-medicine strategies in DLBCL. (Funded by the Intramural Research Program of the National Institutes of Health and others.).This research was supported by the Intramural Research Program of the NIH, Center for Cancer Research, National Cancer Institute and by a National Cancer Institute Strategic Partnering to Evaluate Cancer Signatures (SPECS II) grant (5U01CA157581-05). R.S. was supported by the Dr Mildred Scheel Stiftung für Krebsforschung (Deutsche Krebshilfe). D.J.H. was a Kay Kendall Leukaemia Fund Intermediate research fellow. M.K. was supported by the National Institutes of Health Oxford-Cambridge Scholars Program and the Washington University in St. Louis Medical Scientist Training Progra