Design Challenges of Intra- and Inter- Chiplet Interconnection

In a chiplet-based many-core system, intra- and inter- chiplet interconnection is key to system performance and power consumption. There are a few challenges in intra- and inter- chiplet interconnection network: 1) Fast and accurate simulation is necessary to analyze the performance metrics. 2) Efficient network architecture for inter- and intra- chiplet is necessary, including topology, PHY design and deadlock free routing algorithms, etc. 3) Deep learning based AI systems are demanding more computation power, which calls for the need of efficient and low power chiplet-based systems. This paper proposes network designs to address these challenges and provides future research directions

Impacts of climate change and fruit tree expansion on key hydrological components at different spatial scales

Assessing how fruit tree expansion and climate variability affect hydrological components (e.g., water yield, surface runoff, underground runoff, soil water, evapotranspiration, and infiltration) at different spatial scales is crucial for the management and protection of watersheds, ecosystems, and engineering design. The Jiujushui watershed (259.32 km2), which experienced drastic forest changes over the past decades, was selected to explore the response mechanisms of hydrological components to fruit tree expansion and climate variability at different spatial scales (whole basin and subbasin scale). Specifically, we set up two change scenarios (average temperature increase of 0.5°C and fruit tree area expansion of 18.97%) in the SWAT model by analyzing historical data (1961∼2011). Results showed that climate change reduced water yield, surface runoff, and underground runoff by 6.75, 0.37, and 5.91 mm, respectively. By contrast, the expansion of fruit trees increased surface runoff and water yield by 2.81 and 4.10 mm, respectively, but decreased underground runoff by 1 mm. Interestingly, the sub-basins showed different intensities and directions of response under climate change and fruit tree expansion scenarios. However, the downstream response was overall more robust than the upstream response. These results suggest that there may be significant differences in the hydrological effects of climate change and fruit tree expansion at different spatial scales, thus any land disturbance measures should be carefully considered

CRISPR-Cas9-Based Functional Interrogation of Unconventional Translatome Reveals Human Cancer Dependency on Cryptic Non-Canonical Open Reading Frames

Emerging evidence suggests that cryptic translation beyond the annotated translatome produces proteins with developmental or physiological functions. However, functions of cryptic non-canonical open reading frames (ORFs) in cancer remain largely unknown. To fill this gap and systematically identify colorectal cancer (CRC) dependency on non-canonical ORFs, we apply an integrative multiomic strategy, combining ribosome profiling and a CRISPR-Cas9 knockout screen with large-scale analysis of molecular and clinical data. Many such ORFs are upregulated in CRC compared to normal tissues and are associated with clinically relevant molecular subtypes. We confirm the in vivo tumor-promoting function of the microprotein SMIMP, encoded by a primate-specific, long noncoding RNA, the expression of which is associated with poor prognosis in CRC, is low in normal tissues and is specifically elevated in CRC and several other cancer types. Mechanistically, SMIMP interacts with the ATPase-forming domains of SMC1A, the core subunit of the cohesin complex, and facilitates SMC1A binding to cis-regulatory elements to promote epigenetic repression of the tumor-suppressive cell cycle regulators encoded by CDKN1A and CDKN2B. Thus, our study reveals a cryptic microprotein as an important component of cohesin-mediated gene regulation and suggests that the \u27dark\u27 proteome, encoded by cryptic non-canonical ORFs, may contain potential therapeutic or diagnostic targets

CAD tools and methodologies for reliable 3D IC design, analysis, and optimization

As one of more-than-Moore technologies, 3D ICs enable next-generation systems with much higher device density without needs for technology scaling. However, designing reliable 3D IC systems with high performance and low power consumption is a challenging task. It is difficult to deliver power to all chips with a reduced footprint. And new parasitic elements in 3D ICs require accurate parasitic extraction and detailed design analysis in the full-chip level. The objective of this research is to quantify power and signal integrity issues in 3D ICs, and develop CAD tools and methodologies to enable reliable 3D IC designs, as well as enhance physical design quality. This includes accurate parasitic extraction, timing, power analysis, and signal-power-thermal integrity analysis and optimization for both face-to-back and face-to-face bonded 3D ICs. To achieve this goal, CAD tools and methodologies for 3D IC design, analysis and optimization flows are implemented from multiple aspects of physical designs. In this work, first, a holistic CAD platform is proposed to address the need for accurate modeling and analyzing IR drop issues in a 3D DRAM system with several optimization methods from design, packaging and architectural policy perspective. Also, accurate extraction methods are proposed for TSV-to-TSV coupling parasitic extraction by using multi-TSV model and pattern-matching algorithm. Then, several noise-protection methods are proposed to alleviate signal coupling in 3D ICs. Further, a holistic and an in-context methodology are proposed for extraction of inter-die coupling parasitics in F2F 3D ICs with accuracy and complexity tradeoff comparisons. Last, multiple impacts from physical design and technology scaling are studied with our tool flow demonstrated on extraction of the next generation heterogeneous F2F 3D ICs.Ph.D

Exploration of the health needs of patients with poorly controlled type 2 diabetes using a user-centred co-production approach in the area of mHealth: an exploratory sequential mixed-method protocol

Introduction Research on the needs and preferences of patients with poorly controlled type 2 diabetes mellitus (T2DM) with mobile health (mHealth) service is limited. With the principles of co-production, this study aims to address this research gap by exploring the health needs of Chinese patients with poorly controlled T2DM.Methods and analysis This study uses a three-phase, exploratory sequential mixed-method design. Phase 1 aims to assess the health needs of patients with poorly controlled T2DM by conducting semi-structured interviews with patients, doctors and nurses. Participants will be recruited by purposive sampling with maximum variation. Content analysis will be employed. Phase 2 will form item generation and develop the mHealth need scale. The scale will be subject to pilot testing and psychometric evaluation, including content validity, construct validity, discriminant validity, internal validity and test–retest reliability. Phase 3 will explore the priority of health needs perceived by patients with poorly controlled T2DM through a cross-sectional study. The measurement tools include an mHealth needs scale, the Summary of Diabetes Self-care Activities Questionnaire, the Diabetes Empowerment Scale-Short Form, the Diabetes Health Literacy Scale and the eHealth Literacy Scale. Multiple regression techniques with a hierarchical block design will be used for the model building to identify the factors contributing to the heterogeneity of the perceived mHealth needs. The findings of phase 1 and phase 3 will be integrated using data correlation, comparison and consolidation.Ethics and dissemination The Ethics Committee of the School of Nursing, Sun Yat-sen University, has approved this study (No. 2021ZSLYEC). The results of this study will be disseminated through conference presentations and peer-reviewed publications

Impact of reimbursement rates on the length of stay in tertiary public hospitals: a retrospective cohort study in Shenzhen, China

Objective To examine the association between reimbursement rates and the length of stay (LOS).Design A retrospective cohort study.Setting The study was conducted in Shenzhen, China by using health administrative database from 1 January 2015 to 31 December 2017.Participants 6583 patients with acute myocardial infarction (AMI), 12 395 patients with pneumonia and 10 485 patients who received percutaneous coronary intervention (PCI) surgery.Measures The reimbursement rate was defined as one minus the ratio of out-of-pocket to the total expenditure, multiplied by 100%. The outcome of interest was the LOS. Multilevel negative binomial regression models were constructed to control for patient-level and hospital-level characteristics, and the marginal effect was reported when non-linear terms were available.Results Each additional unit of the reimbursement rate was associated with an average of an additional increase of 0.019 (95% CI, 0.015 to 0.023), 0.011 (95% CI, 0.009 to 0.014) and 0.013 (95% CI, 0.010 to 0.016) in the LOS for inpatients with AMI, pneumonia and PCI surgery, respectively. Adding the interaction term between the reimbursement rate and in-hospital survival, the average marginal effects for the deceased inpatients with AMI and PCI surgery were 0.044 (95% CI, 0.031 to 0.058) and 0.034 (95% CI, 0.017 to 0.051), respectively. However, there was no evidence that higher reimbursement rates prolonged the LOS of the patients who died of pneumonia (95% CI, −0.013 to 0.016).Conclusions The findings indicate that the higher the reimbursement rate, the longer the LOS; and implementing dynamic supervision and improving the service capabilities of primary healthcare providers may be an important strategy for reducing moral hazard in low-income and middle-income countries including China