157 research outputs found
Weibull Racing Survival Analysis for Competing Events and a Study of Loan Payoff and Default
We propose Bayesian nonparametric Weibull delegate racing (WDR) to explicitly
model surviving under competing events and to interpret how the covariates
accelerate or decelerate the event times. WDR explains non-monotonic covariate
effects by racing a potentially infinite number of sub-events, relaxing the
ubiquitous proportional-hazards assumption which may be too restrictive. WDR
can handle different types of censoring and missing event times or types. For
inference, we develop a Gibbs-sampler-based MCMC algorithm along with a maximum
a posteriori estimation for big data applications. We use synthetic data
analysis to demonstrate the flexibility and parsimonious nonlinearity of WDR.
We also use a data set of time to loan payoff and default from Prosper.com to
showcase the interpretability.Comment: 40 pages, 7 figures, 14 table
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models
The emergence of large language models (LLMs) has revolutionized natural
language processing tasks. However, existing instruction-tuning datasets suffer
from occupational bias: the majority of data relates to only a few occupations,
which hampers the instruction-tuned LLMs to generate helpful responses to
professional queries from practitioners in specific fields. To mitigate this
issue and promote occupation-inclusive LLMs, we create an instruction-tuning
dataset named \emph{OccuQuest}, which contains 110,000+ prompt-completion pairs
and 30,000+ dialogues covering over 1,000 occupations in 26 occupational
categories. We systematically request ChatGPT, organizing queries
hierarchically based on Occupation, Responsibility, Topic, and Question, to
ensure a comprehensive coverage of occupational specialty inquiries. By
comparing with three commonly used datasets (Dolly, ShareGPT, and WizardLM), we
observe that OccuQuest exhibits a more balanced distribution across
occupations. Furthermore, we assemble three test sets for comprehensive
evaluation, an occu-test set covering 25 occupational categories, an estate set
focusing on real estate, and an occu-quora set containing real-world questions
from Quora. We then fine-tune LLaMA on OccuQuest to obtain OccuLLaMA, which
significantly outperforms state-of-the-art LLaMA variants (Vicuna, Tulu, and
WizardLM) on professional questions in GPT-4 and human evaluations. Notably, on
the occu-quora set, OccuLLaMA reaches a high win rate of 86.4\% against
WizardLM
First realization of macroscopic Fourier ptychography for hundred-meter distance sub-diffraction imaging
Fourier ptychography (FP) imaging, drawing on the idea of synthetic aperture,
has been demonstrated as a potential approach for remote
sub-diffraction-limited imaging. Nevertheless, the farthest imaging distance is
still limited around 10 m even though there has been a significant improvement
in macroscopic FP. The most severely issue in increasing the imaging distance
is FoV limitation caused by far-field condition for diffraction. Here, we
propose to modify the Fourier far-field condition for rough reflective objects,
aiming to overcome the small FoV limitation by using a divergent beam to
illuminate objects. A joint optimization of pupil function and target image is
utilized to attain the aberration-free image while estimating the pupil
function simultaneously. Benefiting from the optimized reconstruction algorithm
which effectively expands the camera's effective aperture, we experimentally
implement several FP systems suited for imaging distance of 12 m, 90 m, and 170
m with the maximum synthetic aperture of 200 mm. The maximum imaging distance
and synthetic aperture are thus improved by more than one order of magnitude of
the state-of-the-art works with a fourfold improvement in the resolution. Our
findings demonstrate significant potential for advancing the field of
macroscopic FP, propelling it into a new stage of development
Allele-specific induction of IL-1beta expression by C/EBPbeta and PU.1 contributes to increased tuberculosis susceptibility
Mycobacterium tuberculosis infection is associated with a spectrum of clinical outcomes, from long-term latent infection to different manifestations of progressive disease. Pro-inflammatory pathways, such as those controlled by IL-1beta, have the contrasting potential both to prevent disease by restricting bacterial replication, and to promote disease by inflicting tissue damage. Thus, the ultimate contribution of individual inflammatory pathways to the outcome of M. tuberculosis infection remains ambiguous. In this study, we identified a naturally-occurring polymorphism in the human IL1B promoter region, which alters the association of the C/EBPbeta and PU.1 transcription factors and controls Mtb-induced IL-1beta production. The high-IL-1beta expressing genotype was associated with the development of active tuberculosis, the severity of pulmonary disease and poor treatment outcome in TB patients. Higher IL-1beta expression did not suppress the activity of IFN-gamma-producing T cells, but instead correlated with neutrophil accumulation in the lung. These observations support a specific role for IL-1beta and granulocytic inflammation as a driver of TB disease progression in humans, and suggest novel strategies for the prevention and treatment of tuberculosis
Electrostatic spraying of membrane electrode for proton exchange membrane fuel cell
Abstract(#br)In order to improve the performance of proton exchange membrane fuel cell (PEMFC), the optimization of electrostatic spraying of membrane electrode was conducted. The influence of the spraying voltage on morphology, elemental composition of catalyst layer, and performance of the PEMFC were investigated. The results show that increasing spraying voltage could reduce agglomeration of the carbon-supported platinum particles, leading to more uniform pore distribution. High voltage did not accelerate oxidation of platinum catalyst. A high electrochemical active surface area of 26.18 m 2 /g pt was obtained when the platinum-carbon catalyst layer was deposited in cone jet mode. With further increasing spraying voltage, the total ohmic resistance and catalytic activity were changed slightly, whereas the charge transfer resistance was increased. Using the optimized electrostatic spraying parameters (injection rate = 100 μL min −1 , spraying voltage = 8.5 kV, and working distance = 12 mm), a peak power density of 1.408 W cm −2 was obtained with an output voltage of 0.451 V
Porphyrin dimers with a bridging chiral amide-bonded benzo-moiety
The facile synthesis and characterization of four porphyrin dimers which introduced stereomeric centers with chiral amide-bonded para- and meta-disubstituted benzo-moiety is reported. Trends in the electronic structures and optical and redox properties are analyzed through a comparison with theoretical calculations to explore the effect of positional isomerism of the bridging benzene rings
Clinical efficacy of ulinastatin in the treatment of unliquefied pyogenic liver abscess complicated by septic shock: A randomized controlled trial
Abstract Introduction This study determined the therapeutic effect of ulinastatin (UTI) on unliquefied pyogenic liver abscesses complicated by septic shock (UPLA‐SS). Methods This was a randomized controlled trial involving patients with UPLA‐SS who underwent treatment at our hospital between March 2018 and March 2022. The patients were randomly divided into control (n = 51) and study groups (n = 48). Both groups received routine treatment, but the study group received UTI (200,000 units q8h for >3 days). Differences in liver function, inflammatory indices, and effectiveness between the two groups were recorded. Results Following treatment, the white blood cell count, and lactate, C‐reactive protein, procalcitonin, tumor necrosis factor‐α, and interleukin‐6 levels were significantly decreased in all patients compared to the admission values (p .05). Conclusion UTI combined with conventional treatment significantly controlled the infection symptoms, improved organ function, and shortened the treatment time in patients with UPLA‐SS
The Design of IP Core for LCD Controller Based on SOPC
In this paper, it introduces the design and implementation of custom IP core for liquid crystal display (LCD) controller based on system on a programmable chip (SOPC) technology and Verilog hardware description language (HDL). The IP core can be put up as a general-purpose peripheral module to the Avalon Bus, communicating with the NIOS II through registers, and the underlying sequential logic for communicating with the external LCD liquid crystal module is automatically completed by the module. The driver does not need to care about the details of the underlying timing, it only needs to implement the read and write operations of the LCD data through register access, thus achieve the purpose of controlling the display content of the LCD. In addition to reducing the complexity of driver development, the design can also take full advantage of the parallel operation of hardware logic to improve the execution efficiency of the entire system and the throughput of processing tasks, especially in some occasions where high-speed image real-time processing is required. Simulations and experiments show that the IP core for LCD controller has good stability, versatility and compatibility
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