Persistence Index Research Articles

SPIRIT: Scalable and Persistent In-Memory Indices for Real-Time Search

Today, real-time search over big microblogging data requires low indexing and query latency. Online services, therefore, prefer to host inverted indices in memory. Unfortunately, as datasets grow, indices grow proportionally, and with limited DRAM scaling, the main memory faces high pressure. Also, indices must be persisted on disks as building them is computationally intensive. Consequently, it becomes necessary to frequently move on-heap index segments to storage, slowing down indexing. Reading storage-resident index segments requires filesystem calls and disk accesses during query evaluation, leading to high and unpredictable tail latency. This work exploits hybrid DRAM and scalable non-volatile memory (NVM) to offer dynamically growing and instantly searchable (i.e., real-time) persistent indices in on-heap memory. We implement SPIRIT, a real-time text inversion engine over hybrid memory. SPIRIT exploits the byte-addressability of hybrid memory to enable direct access to the index on a pre-allocated heap, eliminating expensive block storage accesses and filesystem calls during live operation. It uses an in-memory segment descriptor table to offer: ① instant segment availability to query evaluators upon fresh ingestion, ② low-overhead segment movement across memory tiers transparent to query evaluators, and ③ decoupled segment movement into NVM from their visibility to query evaluators, enabling different policies for mitigating NVM latency. SPIRIT accelerates compaction with zero-copy merging. It supports volatile, graceful shutdown, and crash-consistent indexing modes. The latter two modes offer instant recovery using persistent pointers. SPIRIT with hybrid memory and strong crash consistency guarantees exhibits many orders of magnitude better tail response times and query throughout than the state-of-the-art Lucene search engine. Compared against a highly optimized non-real-time evaluation of Lucene with liberal DRAM size, on average, across six query workloads, SPIRIT still delivers 2.5 × better (real-time) query throughput. Our work applies to other services that will benefit from direct on-heap access to large persistent indices.

PENGARUH PRUDENCE, PERSISTENSI LABA, STRUKTUR MODAL DAN KEBIJAKAN DEVIDEN TERHADAP KUALITAS LABA

This research aims to provide empirical evidence regarding the influence of Prudence, Earnings Persistence, Capital Structure and Dividend Policy on Earnings Quality. The Quality of Earnings variable is measured by the Quality of Earnings Ratio, Prudence is measured by the KNSV Index, Earnings Persistence is measured by the Profit Persistence Index, Capital Structure is measured by DAR & Dividend Policy is measured by DPR. This type of research is quantitative research with a population of LQ45 companies registered on the IDX for 2018-2022. The sample in this study used a purposive sampling method, obtaining 17 companies. The data analysis technique uses multiple linear regression analysis methods using the Eviews 10 software program. The research results show that Prudence, Profit Persistence, Capital Structure and Dividend Policy simultaneously have a significant effect on Earnings Quality. Prudence partially has no effect on Earnings Quality. Partial Profit Persistence has no effect on Earnings Quality. Capital Structure partially has a significant positive effect on Earnings Quality. Dividend Policy partially has no effect on Earnings Quality.

Long-term real-world data of ustekinumab in ulcerative colitis: the Stockholm Ustekinumab Study (STOCUSTE).

Ustekinumab (UST) is an anti-interleukin-12/23 antibody used in the treatment of inflammatory bowel disease. This study includes patients treated at four hospitals in Stockholm to provide long-term real-world data. Retrospective study including patients diagnosed with ulcerative colitis and treated with UST between the years 2019 and 2021. Patients were followed until withdrawal of treatment, or until a predefined end of study, 31 July 2021. Disease activity was assessed with Physician Global Assessment (PGA); Ulcerative Colitis Endoscopic Index of Severity (UCEIS), laboratory parameters, and drug persistence. The primary outcome was steroid-free remission (PGA = 0) and response (decrease PGA ≥ 1 from baseline) at 3 and 12 months, respectively. A total of 96 patients, 44 women and 52 men were included. The patients had either extensive colitis (69%), left-sided colitis (29%), or proctitis (3%). All but two patients were anti-TNF-experienced; 94 (98%) had failed ≥1, 59 (61%) ≥ 2, and 34 (35%) had failed ≥ 3 anti-TNF drugs. In addition, 28 (29%) had failed vedolizumab. At inclusion, 92/96 patients (96%) had active disease and four patients were in remission. Among patients who were treated with UST, 9/71 (13%) were in steroid-free remission at 3 months, and 26/33 (78%) were at 12 months. Withdrawal rates at 3 and 12 months, were 12 and 26%, respectively, mainly due to persisting disease activity (20%). In this group of patients with difficult-to-treat ulcerative colitis, UST was shown to be effective in the majority, with high drug persistence at 12 months in combination with a favorable safety profile.

Is it possible to predict persistent acute kidney injury in critically ill patients with COVID-19 infection?

Critically ill patients with coronavirus disease 2019 (COVID-19) often face a heightened risk of morbidity and mortality, particularly due to complications such as acute kidney injury (AKI). While the persistent acute kidney injury risk index (PARI) has shown promise in predicting the risk of persistent AKI (pAKI) in non-COVID patients, its effectiveness in critically ill COVID-19 patients remains to be explored. We aimed to evaluate the predictive power of the PARI in identifying pAKI and its prognostic significance in terms of clinical outcomes. This was a single-center retrospective study of patients with COVID-19 admitted at our 36-bed tertiary intensive care unit between April and December 2020. There were 152 patients who fulfilled our inclusion criteria. Fifty seven (37.5%) had developed AKI and 16 (10.25%) had developed pAKI. Vasopressor, mechanical ventilation and renal replacement therapy (RRT) requirement, sequential organ failure assessment (SOFA), and PARI were significantly higher in patients who developed pAKI than those who did not. The PARI were significantly higher in patients with short-term mortality compared to survivors. The area under the receiver operating characteristic (ROC) curve (AUC) of the PARI score for predicting pAKI was 0.66 (95% CI: 0.53-0.79), whereas short-term mortality was 0.733 (95% CI, 0.65-0.81). The PARI score was evaluated as simple, useful, and reliable in predicting pAKI in severe cases with COVID-19; and therefore, pAKI and its related RRT complications can be prevented with protective interventions. Further comprehensive studies are warranted to deepen our understanding of this relationship.

Prenatal exposure to persistent organic pollutants and body mass index trajectories from birth to age 12

Prenatal exposure to persistent organic pollutants and body mass index trajectories from birth to age 12

Spatiotemporal patterns in persistent precipitation extremes of the Chinese mainland (1961–2022) and association with the dynamic factors

Previous studies on extreme precipitation events have primarily focused on the intensity of such events during fixed periods, without considering the entirety of extreme precipitation events and conducting a comprehensive examination of the intensity and frequency of more disastrous persistent extreme precipitation (PEP) events. In this paper, persistent extreme precipitation indices (PEPIs) related to intensity, frequency, duration, and contribution rates were constructed, utilizing a gridded daily precipitation dataset and atmospheric circulation indices data from China for the period 1961–2022 to analyze the spatial distribution, spatiotemporal trends, and seasonal patterns and variations of PEPIs across different regions of China and the potential impact of the dynamic factors on the spatiotemporal variations of PEPIs. The results are crucial for effectively predicting future changes and informing planning for adaptation strategies: From 1961 to 2022, (1) China's PEP pattern displays distinct regional variations. PEP has been prevalent in Western Arid (Semi-Arid) Zone (WAS) and Qinghai-Tibet Plateau (QT) regions, with higher occurrence frequency, duration, and contribution rates to total extreme precipitation (44.91% and 42.01%) and overall precipitation (26.35% and 29.08%). Conversely, the humid eastern regions exhibit greater event intensity. (2) Intensity-related PEPIs show a significant increase, while the frequency and contribution rate-related PEPIs tend to decrease, indicating less frequent but more concentrated PEP events. (3) Seasonal distribution of PEP events shows a primary concentration in QT, North China (N), the Eastern arid zone (EA), and Northeast China (NE) from June to September and they occur more frequently during spring and summer in Central (C) and South China (S) regions. Summer variations predominantly account for annual PEP variability and trends. (4) WPSHII, SCSSHII, WPWPSII, APVII, NHPVII, NINO3 predominantly affect the WAS, QT, NE, C, and S regions, with WPSHII having the broadest impact, notably on the QT, C, S, and NE regions. In the WAS region during autumn, the interaction of NAO and WPSHII explains 72% of the intensity of PEP events.

Customized voluntary waiting period before first insemination in primiparous dairy cows: Effect on milk production, fertility, and health

A customized voluntary waiting period (VWP) before first insemination was tested in 18 commercial dairy herds in Sweden to assess milk production, fertility, and health in primiparous cows expected to be suited for extended VWP. Cow selection for extended VWP was based on 3 criteria in early lactation: (1) the 10% of cows with highest genomic persistency index, (2) cows with a difficult calving or disease during the first month of lactation, and (3) cows with higher yield during d 4 to 33 after calving than the herd average for primiparous cows. Cows meeting at least one of these criteria were randomly assigned to either treatment with an extended VWP of at least 175 d (ExtExt; n = 174, calving interval [CInt] = 16.3 mo) or treatment with a conventional VWP of a maximum of 100 d; (ExtConv; n = 173, CInt = 12.4 mo). Cows not meeting any of the criteria were assigned to the conventional VWP treatment (ConvConv; n = 183, CInt = 12.0 mo). We found no differences in milk yield per day in the CInt between treatments, although 305-d and whole-lactation (WL) milk yields were higher for ExtExt cows (10,371 and 13,803 kg) than ExtConv cows (9,812 and 10,257 kg). Milk yield at the last test milking before dry-off was lower in ExtExt compared with ExtConv cows (24.9 vs. 28.3 kg), but the results showed no difference in dry period length between the treatments. Regarding reproductive performance, the ExtExt cows had a higher first service conception rate (FSCR; 60% vs. 45%) and lower number of inseminations per conception (NINS; 1.67 vs. 2.19), compared with the ExtConv cows. As expected, ConvConv cows had the lowest milk yield (305-d, WL, and per day) in the CInt; however, FSCR and NINS did not differ between ConvConv cows and cows in the other 2 VWP treatments. Disease incidence was higher for cows in the ExtConv compared with the ConvConv treatment, but there was no difference between ExtExt and the 2 other VWP treatments. Further, no difference in the proportion of cows with good udder health or culling rate was detected between any of the treatments, though due to low prevalence, the study lacked power to draw major conclusions on these results. Thus, prolonging VWP for suitable primiparous cows can produce benefits such as improved fertility in the form of higher FSCR and lower NINS, as well as lower dry-off yield, without compromising milk yield or prolonging dry period length.

Early, Intensive and Persistent Lipid-Lowering Therapy for Secondary Prevention of Acute Coronary Syndrome.

Early and intensive low-density lipoprotein (LDL-C)-lowering therapy plays important roles in secondary prevention of acute coronary syndrome (ACS), but the treatment period for further clinical benefit remains undefined. This single-center, retrospective study explored LDL-C trajectory after ACS and its associations with subsequent cardiovascular events (CVE). In 831 patients with ACS, we evaluated LDL-C reduction during the first 2 months post-ACS as an index of early intervention and the area over the curve for LDL-C using 70 mg/dl as the threshold in the next 6 months (AOC-70) as a persistent intensity index. Patients were followed for a median of 3.0 (1.1-5.2) years for CVE, defined as the composite of cardiovascular death, non-fatal myocardial infarction, angina pectoris requiring revascularization, cerebral infarction, and coronary bypass grafting. LDL-C decreased from baseline to 2 months post-ACS (107±38 mg/dl to 78±25 mg/dl, p＜0.001) through high-intensity statin prescription (91.8%), while achieving rates of LDL-C ＜70 mg/dl at 2 months remained only 40.2% with no significant changes thereafter. During the follow-up period, CVE occurred in 200 patients. LDL-C reduction during the first 2 months and AOC-70 in the next 6 months were both associated with subsequent CVE risk (sub-HR [hazard ratio] [95% confidence interval]: 1.48 [1.16-1.89] and 1.22 [1.05-1.44]). Furthermore, early intervention followed by persistently intensive LDL-C-lowering therapy resulted in further CVE risk reduction. The present study observed that achieving early and intensive LDL-C reduction within the first two months after ACS and maintaining it for the next six months suppressed subsequent CVE risk, suggesting the importance of early, intensive, and persistent LDL-C-lowering therapy in the secondary prevention of ACS.

An overview of the drivers of performance in nonbreeding Nearctic–Neotropical migratory songbirds

ABSTRACT Developing conservation and recovery strategies for Nearctic–Neotropical migratory songbirds requires key research because population-limiting factors remain unknown for many species. In particular, the stationary nonbreeding period (sometimes referred to as overwintering) encompasses 6–8 months of the full annual cycle. We conducted a systematic review to assess what is known about the factors that influence individual-level performance (i.e., fitness proxies or indicators of self-maintenance) of Nearctic–Neotropical migratory songbirds during the stationary nonbreeding period. We focused on the metrics of apparent survival, persistence, and body condition (mass-related) indices. We found that 51 of 125 migratory Passeriformes species’ performance has been studied in 57 studies during the nonbreeding period. However, most species appear in only one study; thus, knowledge is skewed toward 3 species appearing in ≥ 10 studies. Body condition indices were the most studied group of metrics and apparent survival was the least studied. Habitat type, food availability, and precipitation were studied much more than other drivers, such as disease and predation. The most studied driver of nonbreeding performance was habitat type. Evidence was found among these studies that suggest that natural habitat types, wetter habitats or precipitation, and high availability of food may positively influence body condition, apparent survival, and persistence. Significant knowledge gaps remain that, if filled, could inform conservation strategies, especially for 59.2% of Passeriformes that are Nearctic–Neotropical migratory species and for areas of the nonbreeding range.

Ecological weed management and square planting influenced the weed management, and crop productivity in direct-seeded rice

Herbicide use may pose a risk of environmental pollution or evolution of resistant weeds. As a result, an experiment was carried out to assess the influence of different non-chemical weed management tactics (one hoeing (HH) at 12 DAS followed by (fb) one hand weeding at 30 DAS, one HH at 12 DAS fb Sesbania co-culture and its mulching, one HH at 12 DAS fb rice straw mulching @ 4t ha−1, one HH at 12 DAS fb rice straw mulching @ 6 t ha−1) on weed control, crop growth and yield, and economic returns in direct-seeded rice (DSR). Experiment was conducted during kharif season in a split-plot design and replicated thrice. Zero-till seed drill-sown crop (PN) had the lowest weed density at 25 days after sowing (DAS), while square planting geometry (PS) had the lowest weed density at 60 DAS. PS also resulted in a lower weed management index (WMI), agronomic management index (AMI), and integrated weed management index (IWMI), as well as higher growth attributes, grain yield (4.19 t ha–1), and net return (620.98 US$ ha–1). The cultivar Arize 6444 significantly reduced weed density and recorded higher growth attributes, yield, and economic return. In the case of weed management treatments, one HH at 12 DAS fbSesbania co-culture and its mulching had the lowest weed density, Shannon-weinner index and eveness at 25 DAS. However, one hoeing at 12 DAS fb one hand weeding at 30 DAS (HH + WH) achieved the highest grain yield (4.85 t ha–1) and net returns (851.03 US$ ha–1) as well as the lowest weed density at 60 DAS. PS × HH + WH treatment combination had the lowest weed persistent index (WPI), WMI, AMI, and IWMI, and the highest growth attributes, production efficiency, and economic return.

SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems

While it is now routine to search for data on a personal computer or discover data online, there is no such equivalent method for discovering data on large parallel and distributed file systems commonly deployed on HPC systems. In contrast to web search, which has to deal with a larger number of relatively small files, in HPC applications there is a need to also support efficient indexing of large files. We propose SCIPIS, an indexing and search framework, that can exploit the properties of modern high-end computing systems, with many-core architectures, multiple NUMA nodes and multiple NVMe storage devices. SCIPIS supports building and searching TFIDF persistent indexes, and can deliver orders of magnitude better performance than state-of-the-art approaches. We achieve scalability and performance of indexing by decomposing the indexing process into separate components that can be optimized independently, by building disk-friendly data structures in-memory that can be persisted in long sequential writes, and by avoiding communication between indexing threads that collaboratively build an index over a collection of large files. We evaluated SCIPIS with three types of datasets (logs, scientific data, and metadata), on systems with configurations up to 192-cores, 768 GiB of RAM, 8 NUMA nodes, and up to 16 NVMe drives, and achieved up to 29x better indexing while maintaining similar search latency when compared to Apache Lucene.

Persistent neural calibration for discharges modelling in drought-stressed catchments

Cross-sector coordination between all water uses and the environmental flows is an essential target for achieving sustainable management in any hydrographic region. In this framework, a novel neural approach was developed and implemented, by the software ANNPI 1.0, to characterise and infer of the discharges regime in a specific basin using only a few attributes as independent variables. The calibration procedure is controlled by the Persistence Index (PI), which is function of a determined estimation lead-time, to facilitate the dynamic character of these simulations. A model validation was carried out in the Lower Guadiana Transboundary Basin, in the Southwest Iberian Peninsula, characterised by moderate and severe drought cyclical events. The best neural approaches included as input variable, between others, the Standardized Precipitation Index at a twelve-month scale SPI(12) that is indicator of hydrological drought, obtaining results statistically very good with determination coefficients higher to 0.77, Nash-Sutcliffe Efficiency coefficients higher to 0.75, Kling-Gupta Efficiency coefficients higher to 0.87 and Persistence Indexes higher to 0.60 in three of the four reservoirs analysed. These accuracy measures showed the ability of the software ANNPI 1.0 to reduce the naïve effect in the forecasting of streamflows time series and could therefore facilitate the development of decision-support systems to make reliable reservoir water balance simulations which will allow to assess future water availability to ensure the main ecosystem services.

Effect of Different Integrative Weed Management Tactics on Paddy (Oryza sativa L.) during kharif in terai Region of West Bengal

Background: Now a days chemical control measures alone develops resistance in different weed species. Integrative weed management techniques are more effective and sustainable than chemical management. Based on these facts, a field experiment was conducted during kharif, 2019 and 2020 at Uttar Banga Krishi Viswavidyalaya to investigate the impact of integrative weed management treatments on growth attributes, yield attributes, yield, weed indices and economics of paddy. Methods: The experiment was laid out in randomized block design with four replications. In each replication, five integrated weed management treatments were done namely, pretilachlor + paddy weeder (P1), pyrazosulfuron followed by metsulfuron methyl + chlorimuron ethyl (P2), bispyribac sodium + paddy weeder (P3), completely no weed (P4) and No treatment (P5). Result: Among the chemical and integrative weed control options, bispyribac sodium + paddy weeder i.e., treatment P3 showed significantly better results than others in case of all the growth attributes and yield attributes except 1000-grain weight. Significantly higher grain yield than all other treatments were recorded in treatment P4 i.e., complete weed free (6.68 t ha-1) followed by treatment P3 i.e., bispyribac sodium + paddy weeder (6.54 t ha-1). Among all the treatments, weed indices like weed control index (80.17, 72.30 and 82.51% at 30, 45 and 60 DAT, respectively) and weed control efficiency (76.48, 79.01 and 80.79% at 30, 45 and 60 DAT, respectively) showed highest results on all the dates whereas weed persistence index at 90 DAT (0.91) and weed index (2.10%) were calculated lowest in treatment P3 i.e., bispyribac sodium + paddy weeder after treatment P4 i.e., completely no weed treatment. This study also indicated rice treated with P4 i.e., weed free showed highest gross return (₹116700 ha-1) and rice treated with P3 i.e., bispyribac sodium at 15 DAT + paddy weeder at 30 DAT showed highest net return (₹59269 ha-1) and benefit:cost (2.07).

WIPE: A Write-Optimized Learned Index for Persistent Memory

Learned Index, which utilizes effective machine learning models to accelerate locating sorted data positions, has gained increasing attention in many big data scenarios. Using efficient learned models, the learned indexes build large nodes and flat structures, thereby greatly improving the performance. However, most of the state-of-the-art learned indexes are designed for DRAM, and there is hence an urgent need to enable high-performance learned indexes for emerging Non-Volatile Memory (NVM). In this article, we first evaluate and analyze the performance of the existing learned indexes on NVM. We discover that these learned indexes encounter severe write amplification and write performance degradation due to the requirements of maintaining large sorted/semi-sorted data nodes. To tackle the problems, we propose a novel three-tiered architecture of write-optimized persistent learned index, which is named WIPE , by adopting unsorted fine-granularity data nodes to achieve high write performance on NVM. Thereinto, we devise a new root node construction algorithm to accelerate searching numerous small data nodes. The algorithm ensures stable flat structure and high read performance in large-size datasets by introducing an intermediate layer (i.e., index nodes) and achieving accurate prediction of index node positions from the root node. Our extensive experiments on Intel DCPMM show that WIPE can improve write throughput and read throughput by up to 3.9× and 7×, respectively, compared to the state-of-the-art learned indexes. Also, WIPE can recover from a system crash in ∼ 18 ms. WIPE is free as an open-source software package. 1

Safety profile and adherence to treatment with ocrelizumab in multiple sclerosis – long-term observations

Among the available disease modifying drugs used in the treatment of multiple sclerosis, there is an increasing relevance of high-efficacy therapies recommended for early use to control the disease activity effectively. In the course of treatment, efficacy as well as safety measures of high-efficacy therapies have to be regularly evaluated. Ocrelizumab, an anti-CD20+ antibody, is the only high-efficacy therapy approved for the treatment of both relapsing-remitting and primary progressive type of multiple sclerosis. Consequently, the drug can be used in a wide population of multiple sclerosis patients. Recently, the cumulative data have been acquired from 10-year follow-up of ocrelizumab use in clinical trials and real-world evidence in as many as 300,000 patients with multiple sclerosis. Based on these data, the general safety profile of the drug has been reviewed (considering the risk of major adverse events, including infusion-related reactions, infections and malignancies), along with specific aspects associated with vaccines and pregnancy/post-partum period. Moreover, the indices of adherence and persistence in long-term treatment with ocrelizumab have been analysed, together with their potential contributing factors. The above data indicate that treatment with ocrelizumab has a beneficial safety profile and is well-tolerated by patients with multiple sclerosis, which supports the choice of ocrelizumab as a therapeutic option. Ongoing clinical and observational trials and registries will provide further data on the safety of the drug, which would allow an update of recommendation in this field.

Coronary artery disease in atrial fibrillation ablation: impact on arrhythmic outcomes.

Catheter ablation (CA) is an established treatment for atrial fibrillation (AF). A computed tomography (CT) may be performed before ablation to evaluate the anatomy of pulmonary veins. The aim of this study is to investigate the prevalence of patients with coronary artery disease (CAD) detected by cardiac CT scan pre-ablation and to evaluate the impact of CAD and revascularization on outcomes after AF ablation. All consecutive patients with AF diagnosis, hospitalized at Universitair Ziekenhuis Brussel, Belgium, between 2015 and 2019, were prospectively screened for enrolment in the study. Inclusion criteria were (i) AF diagnosis, (ii) first procedure of AF ablation with cryoballoon CA, and (iii) contrast CT scan performed pre-ablation. A total of 576 consecutive patients were prospectively included and analysed in this study. At CT scan, 122 patients (21.2%) were diagnosed with CAD, of whom 41 patients (7.1%) with critical CAD. At survival analysis, critical CAD at CT scan was a predictor of atrial tachyarrhythmia (AT) recurrence during the follow-up, only in Cox univariate analysis [hazard ratio (HR) = 1.79] but was not an independent predictor in Cox multivariate analysis. At Cox multivariate analysis, independent predictors of AT recurrence were as follows: persistent AF (HR = 2.93) and left atrium volume index (HR = 1.04). In patients undergoing CT scan before AF ablation, critical CAD was diagnosed in 7.1% of patients. Coronary artery disease and revascularization were not independent predictors of recurrence; thus, in this patient population, AF ablation should not be denied and can be performed together with CAD treatment.

Evaluation of precipitation extremes over the Tibetan plateau using the NASA global daily downscaled datasets NEX-GDDP-CMIP6

The utility of statistically downscaled data is in its provision of detailed, high-resolution insights, surpassing global models, which is essential for precise assessments of climate impact. This study delves into the changes in extreme precipitation across the Tibetan Plateau (TP) and its five subregions, thereby deepening our understanding of climate impacts in the region. Employing NASA Earth Exchange Global Daily Downscaled Climate Projections (NEX-GDDP-CMIP6), which are bias-corrected and statistically downscaled, in conjunction with three gauge-based datasets (CN05.1, CMFD, GMFD) spanning from 1979 to 2014, this study conducts an extensive analysis using eight extreme precipitation indices in the TP. The findings reveal significant spatial disparities in extreme precipitation, with the southern subregion experiencing a significant increase while the two northern subregions show statistically insignificant changes. NEX-GDDP-CMIP6 performs best in the eastern subregion but fails to capture extreme precipitation characteristics in the southern and western subregions. Averaging over the whole period of 1979–2014 (climatology), the NEX-GDDP-CMIP6 dataset performs better on the intensity and persistence indices than on the absolute and relative threshold indices. NEX-GDDP-CMIP6's performance on climate trends is significantly below that of climatology. The NEX-GDDP-CMIP6 dataset has limitations over the TP because of its reliance on the underperforming GMFD reference data. This study provides a comprehensive understanding of the variability of extreme precipitation and disparities among different subregions of the TP, laying a robust scientific groundwork for climate impact studies and future projection in this region.

Abstract IA005: Persistent poverty and cancer disparities

Abstract This session will highlight the challenges that persistent poverty poses for achieving health equity. In working with the US Department of Agriculture’s Economic Research Service, the NCI defines persistent poverty areas, wherein 20% or more of the population at the census tract level is below the federal poverty line based on the 1990, and 2000 decennial censuses and 2007-11 and 2015-2019 American Community Survey 5-year estimates. Most of our research and interventions are not focused in these areas and thus do not consider these contextual factors associated with persistent poverty in addressing cancer disparities. The three speakers will highlight the challenges and opportunities to promote research and training with communities in focusing their research on persistent poverty areas. The speakers and titles of the talks are: NCI’s persistent poverty research agenda Amy Kennedy, National Cancer Institute, Gaithersburg, Maryland HCV screening in border areas of persistent poverty Bertha E. Flores, UT Health Science Center at San Antonio, San Antonio, Texas Relationship between measures of social determinants of health at the census tract level and cancer incidence and survival: An analysis of persistent poverty, socioeconomic index, and measures of rurality Kathy Cronin, National Institutes of Health, Bethesda, Maryland Citation Format: Shobha Srinivasan. Persistent poverty and cancer disparities [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr IA005.

BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System

Emerging NUMA/CXL-based tiered memory systems with heterogeneous memory devices such as DRAM and NVMM deliver ultrafast speed, large capacity, and data persistence all at once, offering great promise to high-performance in-memory key-value stores. To fully unleash the performance potential of such memory systems, this paper presents BonsaiKV, a key-value store that makes the best use of different components in a tiered memory system. The core of BonsaiKV is a tri-layer hierarchical storage architecture that separates data indexing, persistence, and scalability from each other and realizes each of them within a specialized software-hardware layer. We design BonsaiKV with a set of novel techniques, including collaborative tiered indexing, NVMM congestion control mechanisms, fine-grained data striping, and NUMA-aware data management, to leverage hardware strengths and tackle device deficiencies. We compare BonsaiKV with state-of-the-art NVMM-optimized key-value stores and persistent index structures using a variety of YCSB workloads. Evaluation results demonstrate that BonsaiKV outperforms others by up to 7.69×, 19.59×, and 12.86× in read-, write- and scan-intensive scenarios, respectively.

Primary Total Laryngectomy for Endolaryngeal cT3-4M0 Squamous Cell Carcinoma: A STROBE Analysis.

To document 10-year oncologic outcome of primary total laryngectomy (TL) for patients with cT3-4M0 endolaryngeal squamous cell carcinoma (SCC). Observational inception cohort of 531 patients with isolated untreated endolaryngeal cT3-4M0 SCC review over 40 years using STROBE guideline. 94% of patients were followed until death or for a minimum of 10 years. Academic tertiary referral care center. All patients underwent primary TL. Prior tracheotomy, induction chemotherapy, thyroid gland resection, level II-IV neck dissection, level VI dissection, and postoperative radiation therapy were associated in 6%, 40%, 43%, 89%, 47%, and 74% of cases, respectively: The main objective was to determine the 10-year actuarial local control estimate. Accessory objectives comprised screening for clinical variables increasing the risk of local recurrence, and analysis of long-term oncologic consequences of local recurrence. The 10-year actuarial local control estimate was 89.7%. Local recurrence was salvaged in 11% of cases, resulting in 92% overall local control. On multivariate analysis, none of the study variables correlated with local recurrence. Local recurrence resulted in significantly reduced nodal control, distant metastasis control, and survival. Postoperative complications, persistent index SCC, intercurrent disease, and metachronous second primary cancer accounted for respectively 3%, 37%, 33%, and 28% of the 334 deaths noted during the 10 years following TL. The present study underscored the long-term oncologic efficacy of primary TL, the dangers of local recurrence, the key role of local control for survival, and the importance of a long-term oncologic watch policy. 3 Laryngoscope, 134:2288-2294, 2024.