Miracle-dz/UniFAR-FTUs huggingface dataset:
Circuit solutions to compensate for device degradation in analog design in scaled technologies

Kate Gleason College of Engineering Rochester Institute of Technology Degree Doctor of Philosophy Program Microsystems Engineering Name of Candidate Mark Pude Title Circuit Solutions to Compensate for Device Degradation in Analog Design in Scaled Technologies The continued aggressive scaling of semiconductor devices has had detrimental effects on the performance of those devices as used in analog circuitry. Specifically, the maximum intrinsic gain (MIG) of the devices continues to degrade as the device channel lengths are reduced below 100 nm and beyond. MIG is shown to degrade from 21.6 dB in a 180 nm technology to 12.2 dB in a 65 nm technology despite the application of traditional design techniques including device size scaling and bias voltage increases. This reduction in MIG along with other process scaling effects significantly complicates the design of linear amplifiers in these technologies. This work proposes the use of positive feedback to compensate for MIG degradation in linear amplifier design in scaled technologies. Criteria for stable and process tolerant design are derived and examined in the context of amplifier models of varying degrees of complexity. This analysis defines an all-encompassing positive feedback design methodology for use in linear amplifier design of low-gain high-frequency amplifier design. Additionally, the effects of positive feedback are compared and contrasted to the effects of the commonly studied negative feedback design methodology. Finally, the methodology is applied to a differential amplifier stage in TSMC’s 65 nm process using standard threshold voltage, thin oxide CMOS devices. These amplifiers were fabricated and tested to validate the positive feedback design methodology. Simulation shows that 98.4% of positive feedback amplifiers have improved gain over the baseline differential amplifier with an average improvement in gain of 10.3 dB. Silicon measurements of the amplifier gain show improvements of 17.1 dB on average. Similar to the application of negative feedback, gain improvement is achieved at the cost of frequency response. The gain-bandwidth product of the amplifier is reduced by an average of 18.4 GHz from 44.6 GHz. The circuitry required to implement this technique represent a meager 6% increase in silicon area from 460 μm2 to 488 μm2. Abstract Approval: Committee Chair _____________________________________ Program Director _____________________________________ Dean KGCOE _____________________________________Approval: Committee Chair _____________________________________ Program Director _____________________________________ Dean KGCOE _____________________________________
Flight experience with flight control redundancy management

Flight experience with both current and advanced redundancy management schemes was gained in recent flight research programs using the F-8 digital fly by wire aircraft. The flight performance of fault detection, isolation, and reconfiguration (FDIR) methods for sensors, computers, and actuators is reviewed. Results of induced failures as well as of actual random failures are discussed. Deficiencies in modeling and implementation techniques are also discussed. The paper also presents comparison off multisensor tracking in smooth air, in turbulence, during large maneuvers, and during maneuvers typical of those of large commercial transport aircraft. The results of flight tests of an advanced analytic redundancy management algorithm are compared with the performance of a contemporary algorithm in terms of time to detection, false alarms, and missed alarms. The performance of computer redundancy management in both iron bird and flight tests is also presented.
Rotator Cuff Deficiency of the Shoulder

1. Biomechanics: Pathophysiology and Injury Repair of the Rotator Cuff Tear -- An 2. Etiology, Prevalence, Natural History, and Non-Operative Treatment of the Massive Irreparable Rotator Cuff -- Mighell 3. Classification of Rotator Cuff Arthropathy -- Seebauer 4. Arthroscopic Management of Massive Rotator Cuff Tears -- Esch/Lewicky 5. Muscle Transfers for the Treatment of the Irreparable Rotator Cuff Tear -- Karas/Decker 6. The Spectrum of Disease -- Levy 7. Hemiarthroplasty for Cuff Tear Arthroplasty -- Visotsky/Basamania/Bohsali/Wirth/Rockwood 8. Rationale and Biomechanics of the "Reversed" Shoulder Prosthesis: The American Experience -- Frankle 9. Rationale and Biomechanics of the "Reversed" Shoulder Prosthesis: The French Experience -- Boileau/Chuinard 10. The Lyon, France Experience with RC Deficient Shoulder -- Walch/Wall 11. The Mayo Clinic Experience in Treating the RC Deficient Shoulder -- Sperling/Cofield 12. The Columbia University Experience in Treating the Rotator Cuff Deficient Shoulder -- Bell/Edwards/Bigliani 13. The Florida Orthopaedic Institute Experience in Treating the RC Deficient Shoulder -- Frankle 14. Tissue Engineering for the Rotator Cuff Deficient Shoulder -- Dines/Grande/Dines
Ameliorating cancer cachexia by inhibiting cancer cell release of Hsp70 and Hsp90 with omeprazole

Cancer cachexia, characterized by muscle and fat tissue wasting, is a major determinant of cancer‐related mortality without established treatment. Recent animal data revealed that cancer cells induce muscle wasting by releasing Hsp70 and Hsp90 as surface proteins on extracellular vesicles (EVs). Here, we test a therapeutic strategy for ameliorating cancer cachexia by inhibiting the release of Hsp70 and Hsp90 using proton pump inhibitor omeprazole.
Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence

Introduction Atrial fibrillation (AF) is a major cardiovascular health problem: it is common, chronic and incurs substantial healthcare expenditure because of stroke. Oral anticoagulation reduces the risk of thromboembolic stroke in those at higher risk; but for a number of patients, stroke is the first manifestation of undetected AF. There is a rationale for the early diagnosis of AF, before the first complication occurs, but population-based screening is not recommended. Previous prediction models have been limited by their data sources and methodologies. An accurate model that uses existing routinely collected data is needed to inform clinicians of patient-level risk of AF, inform national screening policy and highlight predictors that may be amenable to primary prevention. Methods and analysis We will investigate the application of a range of deep learning techniques, including an adapted convolutional neural network, recurrent neural network and Transformer, on routinely collected primary care data to create a personalised model predicting the risk of new-onset AF over a range of time periods. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation, and the CPRD-AURUM dataset will be used for external geographical validation. Both comprise a sizeable representative population and are linked at patient-level to secondary care databases. The performance of the deep learning models will be compared against classic machine learning and traditional statistical predictive modelling methods. We will only use risk factors accessible in primary care and endow the model with the ability to update risk prediction as it is presented with new data, to make the model more useful in clinical practice. Ethics and dissemination Permissions for CPRD-GOLD and CPRD-AURUM datasets were obtained from CPRD (ref no: 19_076). The CPRD ethical approval committee approved the study. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences. Trial registration details A systematic review to incorporate within the overall project was registered on PROSPERO (registration number CRD42021245093). The study was registered on ClinicalTrials.gov (NCT04657900).
Genetic variation patterns of β-thalassemia in Western Andalusia (Spain) reveal a structure of specific mutations within the Iberian Peninsula

Abstract Background Analyses of the genomic variation in the western Mediterranean population are being used to reveal its evolutionary history and to understand the molecular basis of particular diseases. Aim To observe the β-thalassemia mutational spectrum in western Andalusia, Spain, in the context of the Mediterranean. In addition, associations between disease and neutral gene variants within the β-globin gene (HBB) were also evaluated. Subjects and methods This study included 63 unrelated individuals diagnosed with β-thalassemia. In addition, 97 unrelated, healthy subjects of the same territory were also analysed as proxies of the normal genetic background. Allele associations and population genetic structure analyses were performed using different methodologies. Results Data have revealed a rather restricted spectrum of β-thalassemia mutations in the analysed sample. Although the detected variants fit well with the Mediterranean pattern, certain singularities support a structure of some specific β-thalassemia alleles. The IVSI-1 (G > A) shows a strong regionalisation. The spatial correlogram revealed a typically narrow wave structure, presumably linked to genetic isolation and genetic drift. Conclusions The long history of endemic malaria in the study territory, the rather high consanguinity rates among its autochthonous population, and other demographic features have been used here to understand the western Andalusian β-thalassemia molecular portrait.
Little Between-Region and Between-Country Variance When People Form Impressions of Others

To what extent are perceivers’ first impressions of other individuals dictated by cultural background rather than personal idiosyncrasies? To address this question, we analyzed a globally diverse data set containing 11,481 adult participants’ ratings of 120 targets across 45 countries (2,597,624 total ratings). Across ratings of 13 traits, we found that perceivers’ idiosyncratic differences accounted for approximately 29% of variance and impressions on their own and approximately 16% in conjunction with target characteristics. However, country- and region-level differences, here a proxy for culture, accounted for 3.2% on average (i.e., both alone and in conjunction with target characteristics). We replicated this pattern of effects in a preregistered analysis on an entirely novel data set containing 7,007 participants’ ratings of 100 targets across 41 countries (24,886 total ratings). Together, these results suggest that perceivers’ impressions of other people are largely dictated by their individual characteristics and local environment rather than their cultural background.
A qualitative study of drinking and driving: report of findings

The Department for Transport commissioned qualitative research to provide in-depth understanding of the experiences, behaviour and attitudes of people who mix drinking and driving. The findings were to inform Department for Transport policy on drinking and driving, drink-drive campaigns, and quantitative surveys of drink driving. Fifty respondents were interviewed in-depth in June 2009, in six areas of England, which varied in terms of region and urban/rural location. Respondents included 20 drivers stopped over the limit within the previous three months, as well as 30 people who had driven after drinking at least once in the preceding six weeks - 18 who thought they were probably over the limit and 12 who thought they were probably under. The sample was skewed in favour of men and younger drivers under 30, but women and older drivers were well represented. A review of the relevant research was undertaken in parallel and the results are contained in a separate report (Hopkin et al., 2010).
Identifying the Profile of Helicobacter pylori–Negative Gastric Cancers: A Case-Only Analysis within the Stomach Cancer Pooling (StoP) Project

Background: The prevalence of Helicobacter pylori–negative gastric cancer (HpNGC) can be as low as 1%, when infection is assessed using more sensitive tests or considering the presence of gastric atrophy. HpNGC may share a high-risk profile contributing to the occurrence of cancer in the absence of infection. We estimated the proportion of HpNGC, using different criteria to define infection status, and compared HpNGC and positive cases regarding gastric cancer risk factors. Methods: Cases from 12 studies from the Stomach cancer Pooling (StoP) Project providing data on H. pylori infection status determined by serologic test were included. HpNGC was reclassified as positive (eight studies) when cases presented CagA markers (four studies), gastric atrophy (six studies), or advanced stage at diagnosis (three studies), and were compared with positive cases. A two-stage approach (random-effects models) was used to pool study-specific prevalence and adjusted odds ratios (OR). Results: Among non-cardia cases, the pooled prevalence of HpNGC was 22.4% (n = 166/853) and decreased to 7.0% (n = 55) when considering CagA status; estimates for all criteria were 21.8% (n = 276/1,325) and 6.6% (n = 97), respectively. HpNGC had a family history of gastric cancer more often [OR = 2.18; 95% confidence interval (CI), 1.03–4.61] and were current smokers (OR = 2.16; 95% CI, 0.52–9.02). Conclusion: This study found a low prevalence of HpNGC, who are more likely to have a family history of gastric cancer in first-degree relatives. Impact: Our results support that H. pylori infection is present in most non-cardia gastric cancers, and suggest that HpNGC may have distinct patterns of exposure to other risk factors.
Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study

Background Assessing patient-reported outcomes (PROs) through interviews or conversations during clinical encounters provides insightful information about survivorship. Objective This study aims to test the validity of natural language processing (NLP) and machine learning (ML) algorithms in identifying different attributes of pain interference and fatigue symptoms experienced by child and adolescent survivors of cancer versus the judgment by PRO content experts as the gold standard to validate NLP/ML algorithms. Methods This cross-sectional study focused on child and adolescent survivors of cancer, aged 8 to 17 years, and caregivers, from whom 391 meaning units in the pain interference domain and 423 in the fatigue domain were generated for analyses. Data were collected from the After Completion of Therapy Clinic at St. Jude Children’s Research Hospital. Experienced pain interference and fatigue symptoms were reported through in-depth interviews. After verbatim transcription, analyzable sentences (ie, meaning units) were semantically labeled by 2 content experts for each attribute (physical, cognitive, social, or unclassified). Two NLP/ML methods were used to extract and validate the semantic features: bidirectional encoder representations from transformers (BERT) and Word2vec plus one of the ML methods, the support vector machine or extreme gradient boosting. Receiver operating characteristic and precision-recall curves were used to evaluate the accuracy and validity of the NLP/ML methods. Results Compared with Word2vec/support vector machine and Word2vec/extreme gradient boosting, BERT demonstrated higher accuracy in both symptom domains, with 0.931 (95% CI 0.905-0.957) and 0.916 (95% CI 0.887-0.941) for problems with cognitive and social attributes on pain interference, respectively, and 0.929 (95% CI 0.903-0.953) and 0.917 (95% CI 0.891-0.943) for problems with cognitive and social attributes on fatigue, respectively. In addition, BERT yielded superior areas under the receiver operating characteristic curve for cognitive attributes on pain interference and fatigue domains (0.923, 95% CI 0.879-0.997; 0.948, 95% CI 0.922-0.979) and superior areas under the precision-recall curve for cognitive attributes on pain interference and fatigue domains (0.818, 95% CI 0.735-0.917; 0.855, 95% CI 0.791-0.930). Conclusions The BERT method performed better than the other methods. As an alternative to using standard PRO surveys, collecting unstructured PROs via interviews or conversations during clinical encounters and applying NLP/ML methods can facilitate PRO assessment in child and adolescent cancer survivors.
Emerging agents for metastatic pancreatic cancer: spotlight on early phase clinical trials

ABSTRACT Introduction Despite the recent development of new chemotherapeutic regimens and combination strategies, metastatic pancreatic cancer (mPC) still shows only a modest response to conventional cytotoxic agents. However, several novel therapeutic agents targeting the unique features of mPC are showing promise in clinical trials. Area covered This article reviews the current state of development of new agents targeting various systems and molecular pathways. We searched PubMed and clinicaltrials.gov in September 2021 with a special focus on ongoing early phase clinical trials to identify the promising therapeutic strategies for mPC. Expert opinion Extensive tumor heterogeneity, complex tumor microenvironment, genetic alterations of the oncogenic signaling pathways, metabolic dysregulation, and a low immunogenicity are hurdles for current treatment approaches. Ongoing research efforts strive to overcome these hurdles and are showing some promising early results.
Multidisciplinary Presurgical Education: Clinical Impact on Children With Orofacial Clefts Undergoing Maxillary Distraction via Rigid External Distraction

Objective Treatment of severe maxillary hypoplasia is commonly addressed via distraction osteogenesis with a rigid external device (RED). While effective, this method can be socially stigmatizing in an already vulnerable patient population. To prepare children and their caregivers for life with a RED and decrease peri-operative anxiety, we instituted a multidisciplinary pre-surgical education session (MPES). This educational team involves our cleft care coordinator, child life specialist, orthodontist and plastic surgeon 2 weeks prior to surgery. We reviewed the impact of this intervention by examining clinical outcomes before and after its implementation. Design From February 2017 to February 2020, a retrospective chart review was performed to include patients with orofacial clefts and maxillary hypoplasia who underwent maxillary distraction osteogenesis with RED at our center before (28 patients) and after (29 patients) the implementation of MPES. Results MPES was associated with a significantly shorter length of stay compared to controls who did not receive MPES (3.6 vs 3.1 days, p < 0.03) and significantly decreased usage of inpatient narcotic pain medication compared to controls (16.8 morphine equivalents vs 31.8 morphine equivalents, p < 0.02). Our intervention also demonstrated a trend towards decrease in minor complications but did not achieve statistical significance p = 0.32). Conclusions Multidisciplinary presurgical education is a beneficial adjunct in the care of patients with orofacial clefts and maxillary hypoplasia undergoing maxillary advancement with a RED.
Urinary p75ECD levels in patients with amyotrophic lateral sclerosis: a meta-analysis

Abstract Objective: p75 neurotrophin receptor (p75NTR) is associated with the pathogenesis of amyotrophic lateral sclerosis (ALS). However, its role is not fully understood. The aim of this study was to evaluate the association between ALS and the extracellular domain of p75NTR(p75ECD) in urine. Methods: We conducted a comprehensive literature search using keywords in the PubMed, Embase, Science, and the Cochrane Library, and identified five case control studies, with the latest date of search being 18 April 2021. Results: The results showed that urinary p75ECD levels were significantly higher in patients with ALS compared to non-neurological control (weighted mean difference (WMD) = 4.18, 95% CI [2.525, 6.990], p < 0.001), and other neurological diseases (WMD = 6.005, 95% CI [1.596, 10.414], p = 0.008). Increased urinary p75ECD levels were inversely associated with ALSFRS-R in ALS patients (r = −0.32, 95% CI [−0.43, −0.21], p < 0.001). Conclusions: Given the associations between p75ECD and ALS found in this meta-analysis, urinary p75ECD levels have potential to be used as a diagnostic biomarker and a progression indicator in the future.
N7 logic via patterning using templated DSA: implementation aspects

In recent years, major advancements have been made in the directed self-assembly (DSA) of block copolymers (BCP). Insertion of DSA for IC fabrication is seriously considered for the 7 nm node. At this node the DSA technology could alleviate costs for multiple patterning and limit the number of masks that would be required per layer. At imec, multiple approaches for inserting DSA into the 7 nm node are considered. One of the most straightforward approaches for implementation would be for via patterning through templated DSA; a grapho-epitaxy flow using cylindrical phase BCP material resulting in contact hole multiplication within a litho-defined pre-pattern. To be implemented for 7 nm node via patterning, not only the appropriate process flow needs to be available, but also DSA-aware mask decomposition is required. In this paper, several aspects of the imec approach for implementing templated DSA will be discussed, including experimental demonstration of density effect mitigation, DSA hole pattern transfer and double DSA patterning, creation of a compact DSA model. Using an actual 7 nm node logic layout, we derive DSA-friendly design rules in a logical way from a lithographer’s view point. A concrete assessment is provided on how DSA-friendly design could potentially reduce the number of Via masks for a place-and-routed N7 logic pattern.
SSR Marker-Based Genetic Resource Assessment of the Rainbow Clam Moerella iridescens Along the Coasts of China: Implications for Strategy of Conservation Management

This study aims to determine the genetic structure of rainbow clam Moerella iridescens in different sea areas of China. Seventeen pairs of microsatellite primers (SSR) were used to amplify the SSRs of rainbow clam in Lianyungang of Haizhou Bay, Chongming of Shanghai, Ningde of Fujian, Daishan of Zhoushan, and Cixi and Wenzhou of Zhejiang. A total of 1,146 alleles were detected in 310 individuals from the 17 SSR loci. The average observed heterozygosity of six populations was 0.4381−0.6139, the average expected heterozygosity was 0.5897−0.7325, and the average Shannon diversity index was 1.2655−1.7998. The clams exhibited rich genetic diversity, and the FST of the genetic differentiation index of the six populations was 0.0470, indicating low genetic differentiation among the populations. The results indicated that rainbow clams along the coasts of China exhibited high diversity and low population differentiation.
Experience Reuse in Production Maintenance : Practices and Challenges

The reuse of experiences gained in maintenance activities is important issue in maintenance management. Efficient experience reuse would improve next interventions, reduce the mistakes and potentially contribute to time and cost savings. However, few studies focus on how maintenance workforce reuses past experiences in the problem- solving phases of the maintenance work. The purpose of this study is therefore to examine the experience reuse process in production maintenance in order to identify reuse practices and its challenges. Based on a case study, this paper presents the observed work practices and its challenges for collecting and reusing experiences in production maintenance. Further, potential improvement suggestions are proposed to overcome these challenges.