Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Value of Laboratory Biomarkers for the Diagnosis and Early Identification of Culture-Positive Sepsis in Neonates

Background Neonatal sepsis (NS) is an important cause of mortality and morbidity in newborn infants. However, early diagnosis of proven sepsis (culture-positive sepsis) is difficult. We aimed to define the best combination of biomarkers to diagnose the onset of neonatal sepsis, distinguish culture-positive neonatal sepsis and predict the time of confirmation of neonatal sepsis. Methods This retrospective cohort study was conducted from January 2016 to December 2020. Clinical characteristics and laboratory results were collected from the electronic medical records. Hematology profiles and biochemical indices were obtained upon hospital admission. Multivariate logistic regression analysis was used to evaluate the risk factors and construct a nomogram. The performance of the nomogram was evaluated by receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Multivariable linear regression was used to identify the association between admission-to-diagnosis interval (ADI) and correlated variables. Results Overall, 148 infants with neonatal sepsis (67 culture positive sepsis and 81 culture negative sepsis) and 150 controls were included. C-reactive protein (CRP) (p<0.001), platelets (PLT) (p=0.011), urea nitrogen (BUN) (p=0.001) and conjugated bilirubin (BC) (p=0.007) were independent risk factors for neonatal sepsis. The diagnostic nomogram based on CRP, PLT, BUN and BC showed excellent diagnostic accuracy for neonatal sepsis (AUC=0.928). The nomogram based on red blood cell distribution width (RDW) and mean platelet volume (MPV) was efficient in distinguishing proven neonatal sepsis from clinical sepsis, with an AUC of 0.700 in the training group and 0.689 in the validation group. Decision curve analysis (DCA) showed that the nomogram had good clinical utility. Multivariable analysis revealed gestational age, CRP, and MPV were significantly associated with admission-to-diagnosis interval in culture-positive sepsis (p < 0.001). Conclusion Different combinations biomarkers were performant to diagnose the onset of neonatal sepsis, distinguish culture-positive neonatal sepsis, predict the time of confirmation, and aid in individual therapy.
The characteristics of nutrients variation in the Daya Bay

Investigation data in-situ and simulation data in laboratory are used, combining with Chinese Ecological Research Network (CERN) investigation data of 8 cruises from 1997 to 1998 in the Daya Bay, to assess eutrophica- tion status by nutrient quality index (NQI) method in the Daya Bay. Most of water areas of the Daya Bay are olig otrophication, except the cultural water area is mesotrophication. The growth of phytoplankton is governed now by phosphorus instead of by nitrogen in the past. The nutrients content and their chemical forms in the interstitial water, the overlying water and the bottom water are analyzed. The diffusive fluxes of nutrient across sediment - sea water interface have been calculated, and the.average fluxes of ammonium, nitrite, nitrate, phosphate and silicate are 302. 0, - 0. 06, - 1. 82, 2. 53, 47. 96μmol(m2. d), respectively. The desorption - absorption of nutrients in surface sediments is simulated and the absorption isotherm of phosphate on sediments is studied under the natural sea water system. The relationship of nutrients and red tides in the Daya Bay are discussed.
Caterpillar Responses to Gustatory Stimuli in Potato Tuber Moths: Electrophysiological and Behavioral Insights

This research investigates how fourth-instar larvae of the potato tuber moth, Phthorimaea operculella, respond to plant secondary metabolites (sucrose, glucose, nicotine, and tannic acid) both in terms of gustatory electrophysiology and feeding behavior. The objective is to establish a theoretical foundation for employing plant-derived compounds in potato tuber moth control. We employed single-sensillum recording techniques and dual-choice leaf disk assays to assess the gustatory electrophysiological responses and feeding preferences of these larvae towards the mentioned compounds. Sensory neurons responsive to sucrose, glucose, nicotine, and tannic acid were identified in the larvae’s medial and lateral sensilla styloconica. Neuronal activity was influenced by stimulus type and concentration. Notably, the two types of sensilla styloconica displayed distinct response patterns for sucrose and glucose while they had similar firing patterns towards nicotine and tannic acid. Sucrose and glucose significantly promoted larval feeding, while nicotine and tannic acid had significant inhibitory effects. These findings demonstrate that the medial and lateral sensilla styloconica house sensory neurons sensitive to both feeding stimulants and inhibitors, albeit with differing response profiles and sensitivities. This study suggests that sucrose and glucose are promising candidates for feeding stimulants, while nicotine and tannic acid show potential as effective feeding inhibitors of P. operculella larvae.
Trisomies Reorganize Human 3D Genome

Trisomy is the presence of one extra copy of an entire chromosome or its part in a cell nucleus. In humans, autosomal trisomies are associated with severe developmental abnormalities leading to embryonic lethality, miscarriage or pronounced deviations of various organs and systems at birth. Trisomies are characterized by alterations in gene expression level, not exclusively on the trisomic chromosome, but throughout the genome. Here, we applied the high-throughput chromosome conformation capture technique (Hi-C) to study chromatin 3D structure in human chorion cells carrying either additional chromosome 13 (Patau syndrome) or chromosome 16 and in cultured fibroblasts with extra chromosome 18 (Edwards syndrome). The presence of extra chromosomes results in systematic changes of contact frequencies between small and large chromosomes. Analyzing the behavior of individual chromosomes, we found that a limited number of chromosomes change their contact patterns stochastically in trisomic cells and that it could be associated with lamina-associated domains (LAD) and gene content. For trisomy 13 and 18, but not for trisomy 16, the proportion of compacted loci on a chromosome is correlated with LAD content. We also found that regions of the genome that become more compact in trisomic cells are enriched in housekeeping genes, indicating a possible decrease in chromatin accessibility and transcription level of these genes. These results provide a framework for understanding the mechanisms of pan-genome transcription dysregulation in trisomies in the context of chromatin spatial organization.
Teleseisms as Estimators of Experimental Long‐Period Site Amplification: Application to the Po Plain (Italy) for the 2011 Mw 9.0 Tohoku‐Oki (Japan) Earthquake

Abstract This study focuses on the evaluation of teleseisms as estimators of long‐period seismic site amplification in correspondence to large alluvial basins. Using the recordings of the 11 March 2011 M w 9.0 Tohoku‐Oki, Japan, earthquake, the site response at low frequency of the Po Plain, Italy, was investigated. The interdistances among the analyzed sites, compared to the travel paths of the Tohoku‐Oki waveforms with respect to the target area, allowed us to investigate the reliability of the standard spectral ratio (SSR) technique applied to teleseismic recordings. The results are presented as directional SSRs calculated considering 2 min of P , S , and Rayleigh ( LR ) waves, filtered from 0.025 to 1.0 Hz. Considering the horizontal components, at frequency from 0.04 to 0.3 Hz, the Po Plain stations show amplification factors up to 20 and 16, detected for the S and LR phases, respectively. In some cases, the amplified ground motion appeared to be affected by polarization phenomena, in particular in the north–south direction. Moving from the center to the edge of the basin, the LR ‐wave amplification remarkably decreases, in particular for frequencies between 0.1 and 0.3 Hz; this was not observed for the S wave. Amplification factors >10 were also detected for the vertical component, with increasing resonance periods moving from P to LR waves. Comparing SSRs with the single‐station horizontal‐to‐vertical spectral ratios, the latter case shows that the vertical amplifications lead to the partial masking of the actual response of a site, in particular for frequencies >0.15 Hz. Finally, the relative P ‐wave amplitudes were also investigated. The results of the spectral analysis and the correlation between the relative P ‐wave amplitudes and the geometry of the bedrock suggest that the proposed approach is appropriate for the investigation of long‐period seismic site response in similar settings.
Asphalt concrete dynamic modulus prediction: Bayesian neural network approach

ABSTRACT This paper presents a probabilistic model for predicting the dynamic modulus |E*| of asphalt concrete (AC). A Bayesian Neural Network (BNN) trained on a substantial dataset collected from various states was employed. This approach accounts for the inherent stochasticity in the data generation process (i.e. aleatoric uncertainty) and addresses epistemic or model uncertainty as well. The model successfully predicted dynamic moduli for unseen testing datasets. In practice, predicted moduli could be as accurate and effective as measured values, considering the model uncertainty and |E*| test variability. However, an elevated epistemic uncertainty at extremely low and high |E*| ranges would be expected due to relatively low data points. To enhance interpretability, Shapley Additive Explanations (SHAP) analysis was utilised, demonstrating adherence to physical laws. The primary factors influencing predicted moduli, as identified by the analysis, are temperature, frequency, voids in mineral aggregates, reclaimed asphalt pavement content, and binder low-performance grade. The BNN model was deployed in a web application, making it accessible for application.
THE INFLUENCE OF MOTIVATION AND COMPENSATION ON THE PERFORMANCE OF CLEANING WORKER WITH JOB SATISFACTION AS A MEDIATION VARIABLE (CASE STUDY IN PIDIE DISTRICT ENVIRONMENTAL SERVICE)

This study aims to examine the motivation and compensation influence on the performance of cleaning workers with job satisfaction as a mediating variable. The population is all cleaning workers at the Pidie District Environmental Service (DLH Pidie), totaling 211 people. Determination of the sample is done using a census where the entire population becomes the research respondent. Data was collected by distributing questionnaires to respondents. The model was tested using SEM-AMOS and the Sobel test. The results of research at DLH Pidie cleaning workers prove that motivation, compensation, satisfaction, and employee performance are going well. In direct influences, it can also be seen that satisfaction is significantly influenced by motivation and compensation, and the performance of DLH Pidie cleaning workers is also significantly influenced by motivation, compensation, and satisfaction. In indirect influences, satisfaction partially mediated the motivation and compensation influence on cleaning workers' performance. This result can certainly be interpreted that the performance model of DLH Pidie cleaning workers is a function of increasing the motivation, compensation, and satisfaction of these cleaning workers.
HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks

The rapid development of deep learning has propelled many real-world artificial intelligence applications. Many of these applications integrate multiple neural networks (multi-NN) to cater to various functionalities. There are two challenges of multi-NN acceleration: (1) competition for shared resources becomes a bottleneck, and (2) heterogeneous workloads exhibit remarkably different computing-memory characteristics and various synchronization requirements. Therefore, resource isolation and fine-grained resource allocation for each task are two fundamental requirements for multi-NN computing systems. Although a number of multi-NN acceleration technologies have been explored, few can completely fulfill both of these requirements, especially for mobile scenarios. This paper reports a Hierarchical Asynchronous Parallel Model (HASP) to enhance multi-NN performance to meet both requirements. HASP can be implemented on a multicore processor that adopts Multiple Instruction Multiple Data (MIMD) or Single Instruction Multiple Thread (SIMT) architectures, with minor adaptive modification needed. Further, a prototype chip is developed to validate the hardware effectiveness of this design. A corresponding mapping strategy is also developed, allowing the proposed architecture to simultaneously promote resource utilization and throughput. With the same workload, the prototype chip demonstrates 3.62<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math><alternatives><mml:math><mml:mo mathvariant="bold">×</mml:mo></mml:math><inline-graphic xlink:href="zhao-ieq1-3329937.gif"/></alternatives></inline-formula>, and 3.51<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math><alternatives><mml:math><mml:mo mathvariant="bold">×</mml:mo></mml:math><inline-graphic xlink:href="zhao-ieq2-3329937.gif"/></alternatives></inline-formula> higher throughput over Planaria and 8.68<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math><alternatives><mml:math><mml:mo mathvariant="bold">×</mml:mo></mml:math><inline-graphic xlink:href="zhao-ieq3-3329937.gif"/></alternatives></inline-formula>, 2.61<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math><alternatives><mml:math><mml:mo mathvariant="bold">×</mml:mo></mml:math><inline-graphic xlink:href="zhao-ieq4-3329937.gif"/></alternatives></inline-formula> over Jetson AGX Orin for MobileNet-V1 and ResNet50, respectively.
Information Quality of Business Intelligence Systems: A Maturity-based Assessment

Background: The primary role of a Business Intelligence (BI) system is to provide information to decision-makers within an organization. Moreover, it is crucial to acknowledge that the quality of this information is of greatest significance. Several studies have extensively discussed the importance of information quality in information systems, including BI. However, there is relatively little discussion on the factors influencing 'Information quality”. Objective: This study aimed to address this literature gap by investigating the determinants of BI maturity that impacted information quality. Methods: A maturity model comprising three dimensions was introduced, namely Data quality, BI infrastructure, and Data-driven culture. Data were collected from 84 companies and were analyzed using the SEM-PLS approach. Results: The analysis showed that maturity had a highly positive influence on Information Quality, validating the relevance of the three proposed determinant factors. Conclusion: This study suggested and strongly supported the importance and relevance of Data quality, BI infrastructure, and Data-driven culture as key dimensions of BI maturity. The robust statistical relationship between maturity and information quality showed the effectiveness of approaching the systems from a maturity perspective. This investigation paved the way for exploring additional dimensions that impact Information quality. Keywords: BI infrastructure, BI maturity, Data-driven culture, Data quality, Information quality.
Brain computer interfaces in computer science and engineering areas: a systematic study

Brain-computer interfaces (BCI) are a channel that implements direct communication between the brain and some external unit. Developments of BCIs can provide new application opportunities in a large number of fields of use. In the development of BCI devices, the development of technology and digital technology represented a big change, as it provided the necessary computing power to implement and run the continuously developing signal processing algorithms that ensure processing and evaluation. The aim of this paper is to provide an overview of BCI research results which were published in the engineering field. In the present study, articles that had a greater impact, where the annual average number of citations is greater than 30, in the BCI field were reviewed and processed in a systematic way, in order to make individual research more comparable. The systematic processing was focused on the aims of application, used device/ dataset, applied data process and achieved best accuracy. This systematic study summarizes the most effective methods used in the BCI processing and highlights the future trends. The results showed an accuracy of 85% thanks to increasingly reliable, accurate and cost-effective signal detection and processing devices, as well as algorithms.
Financial Literacy, Risk Perceptions, and Consumptive Behavior on Interest in Using Online Loans

This study aims to determine the influence of financial literacy, risk perception, and consumptive behavior on interest in using online loans in college students of the Faculty of Economics and Business, Dr. Soetomo University, Surabaya. This research is quantitative. The data sources used are primary and secondary data. Data collection techniques by distributing questionnaires and collecting literature as research reference material. Sampling using purposive sampling method and obtained samples of 50 college students. The data analysis method used in this study is a classical assumption test and multiple linear regression analysis using IBM SPSS Statistic data processing program version 25. The results showed that financial literacy negatively affects interest in using online loans, risk perception negatively affects interest in using online loans, consumptive behavior positively affects interest in using online loans, and financial literacy, risk perception, and wasteful behavior simultaneously affect interest in using online loans.
Climate‐Driven Fluctuations in Anthropogenic CO2 Uptake by the East Sea in the North Pacific Ocean

Ocean ventilation is a key mechanism for transporting anthropogenic CO2 (CANTH) from the ocean surface toward its interior. We investigated the link between ocean ventilation and CANTH increase in the East Sea using data from surveys conducted in 1992, 1999, 2007, and 2019. Between 1992 and 1999, the East Sea Intermediate Water (300−1,500 m) accumulated CANTH at a rate of 0.3 ± 0.1 mol C m−2 yr−1. However, in the subsequent period (1999−2007) this rate decreased to <0.1 ± 0.1 mol C m−2 yr−1. There was a resurgence in the CANTH increase rate between 2007 and 2019, reaching 0.4 ± 0.1 mol C m−2 yr−1. The East Sea Intermediate Water ventilation changes, inferred from the changes in water column O2 level and the Arctic Oscillation‐driven winter surface temperature in the deep water formation region, were responsible for the periodic decline and recovery in CANTH increase.
Local sharpness and shear wave speed jump across the 660‐km discontinuity

We examine vertical component short-period teleseismic seismograms from earthquakes in the Izu-Bonin subduction zone recorded by networks in the western United States for phases associated with conversions from mantle discontinuities. The dominant phase in the stacked P coda is the result of near source S-to-P conversions from a subhorizontal discontinuity at a depth ranging from 650 km to 745 km. We previously used 88 timings of this phase, called S660P to determine the topography of the 660-km discontinuity. Employing the 17 best recorded S660P phases, we modeled the S660P amplitude accounting for attenuation and correcting for three-dimensional discontinuity topography. Just to the east of the Izu-Bonin subduction zone, the 660-km discontinuity is sharp (<10 km) and the 5-wave velocity contrast across the discontinuity is 0.60±0.11 km s−1. This value is 60% larger than the preliminary reference Earth model (PREM) value (70% larger than in the iasp91 and ak135 models) and, unlike estimates from reflected SH waves, is independent of the estimated density contrast at 660 km. The large 5-wave velocity contrast inferred here is consistent with recent mineral physics experiments and extrapolations if the mantle at 660 km depth and a few hundred kilometers east of the slab is at near normal mantle temperatures and contains between 3% and 5% cation aluminum, as expected in a pyrolitic mantle.
CEO power, regulatory pressures, and carbon emissions: An emerging market perspective

Abstract This study examines whether powerful CEOs and the strength of the regulatory pressures influence firms’ decisions to disclose their carbon emissions. Powerful CEOs are examined in three dimensions, i.e. CEO ownership power, CEO structural power, and CEO expert power. Focusing on firms listed on Bursa Malaysia and employing logistic regression models with clustered standard errors, the results show a negative association between CEO ownership power, measured in terms of ownership interest, and firms’ decisions to disclose carbon emissions. These results align with the findings of prior studies and provide support for agency theory, suggesting that entrenchment effects occur when CEOs own large ownership interest in the firms, thus adversely impacting carbon disclosure decisions. The results also show a positive association between the strength of the regulatory pressures and carbon disclosure decisions, supporting the institutional theory prediction that firms respond to external pressures by adjusting their organizational structure. These inferences are robust to additional sensitivity analyses, including the Heckman’s (1979) selection bias correction, alternative specifications of the ownership interests, and validation of the regulatory pressures. The results demonstrate that an indirect pressure exerted by Bursa Malaysia through the adoption of mandatory sustainability reporting has a positive impact on carbon disclosure. To further enhance carbon emissions reporting, it is timely for regulators to consider implementing direct measures, such as mandatory GHG reporting, to address associated challenges.