Miracle-dz/UniFAR-FTUs huggingface dataset:
Viral Etiology of Acute Respiratory Tract Infections in Children Presenting to Hospital: Role of Polymerase Chain Reaction and Demonstration of Multiple Infections

Background: Viral lower respiratory tract infections are a leading cause of hospitalization for young children. Methods: We used polymerase chain reaction (PCR) and conventional methods of cell culture and antigen detection to establish the viral etiology of acute respiratory tract infections in 75 hospitalized children. Results: One or more viral pathogens were detected in 65 (87%) children, with respiratory syncytial virus being the most commonly identified virus (36 children). Other viruses identified included influenza virus types A and B, parainfluenzavirus type 3, adenovirus, enterovirus, rhinovirus, coronavirus and human metapneumovirus. PCR increased the diagnostic yield significantly compared with antigen detection and culture, with 39 (21%) diagnoses identified by this method. Multiple infections were identified in 20 (27%) children. Conclusions: PCR-based methodologies offer increased sensitivity for the detection of most respiratory viruses in young children. The inclusion of PCR into diagnostic testing strategies is needed to broaden our understanding of the natural ecology of respiratory viruses and the significance of multiple infections.
Predictive Analysis of Vehicular Lane Changes: An Integrated LSTM Approach

In the rapidly advancing domain of vehicular traffic management and autonomous driving, accurate lane change predictions are paramount for ensuring safety and optimizing traffic flow. This study introduces a comprehensive two-stage prediction model that harnesses the capabilities of long short-term memory (LSTM) for anticipating vehicular lane changes. Initially, we employed a variety of models, such as regression methods, SVMs, and a multilayer perceptron, to categorize lane change behaviors. The dataset was then segmented based on vehicle trajectories and lane change patterns. In the subsequent phase, we utilized the superior classification outcomes from LinearSVC to curate our training data. We developed two dedicated LSTM networks tailored to specific datasets: the lane-keeping LSTM (LK-LSTM) and the lane-changing LSTM (LC-LSTM). By integrating insights from both models, we achieved a comprehensive prediction of vehicular lane changes. Our results indicate that the unified prediction model markedly enhances prediction precision. Accurate lane change predictions offer valuable contributions to advanced driver-assistance systems (ADAS), with the potential to minimize traffic mishaps and enhance traffic fluidity. As we transition to a more autonomous automotive era, refining these predictions becomes essential in seamlessly merging human and automated driving experiences.
Multiagent based Distributed Control for Operation Cost Minimization of Droop Controlled AC Microgrid Using Incremental Cost Consensus

Citation for published version (APA): Li, C. , Firoozabadi, M. S. , Quintero, J. C. V. , & Guerrero, J. M. (2015). Multiagent based Distributed Control for Operation Cost Minimization of Droop Controlled AC Microgrid Using Incremental Cost Consensus. In Proceedings of the 2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCEEurope) IEEE Press. https://doi.org/10.1109/EPE.2015. 7311784
Aalborg Universitet Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC

In this paper, a multiagent based distributed control algorithm has been proposed to achieve state of charge (SoC) balance of distributed energy storage (DES) units in an AC microgrid. The proposal uses frequency scheduling instead of adaptive droop gain. Each DES unit is taken as an agent and they schedule their own frequency reference given of the real power droop controller according to the SoC values of the other DES units. Further, to obtain the average SoC value of DES, dynamic average consensus algorithm is adapted by each agent. A smallsignal model of the system is developed in order to verify the stability of the control system and control parameters design. Simulation results demonstrate the effectiveness of the control strategy and also show the robustness against communication topology changes. Keywords—multiagent; distributed control; State-of-charge balance; distributed energy storage; AC microgrids; frequency scheduling; dynamic average consensus
Time Evolution of the Eastern Part of the Ongoing Tokai Slow Event

Slow event in Tokai area, central Japan, is ongoing and probably caused by the slow-slip between the subducting Philippine Sea slab and the subducted Eurasian plate (Ozawa et al., 2002). We summarized the time evolution of the slow event in the eastern part of this highly dynamic region through continuous Global Positioning System (GPS) measurements. Our analysis of the observations indicates that the dynamic activities appear to be episodic. The rate of displacement was fast and the area was wide in 2001, then became slow and narrow in 2002, and then became fast and wide again since 2003 on.
Vertically Related Markets: Export Rivalry Between DC and LDC Firms*

We present a model of export rivalry in vertically related markets where a DC firm produces a high-quality good as well as a key input utilized by an LDC firm to produce a low-quality export good. The DC firm acts as a Stackelberg leader by setting the price of the input and the quantity of its export good. We show that the DC firm's decision on vertical supply depends on the cost, demand, and quality parameters of both producers, and that the LDC government should tax either its final good exports or its key input imports. Copyright 1994 by Blackwell Publishing Ltd.
LAND USE AND LAND COVER CHANGE AND FOREST FRAGMENTATION IN PHIBSOO WILDLIFE SANCTUARY, BHUTAN

Land use and land cover (LULC) change is driven by the anthropogenic forces and it is essential to monitor the LULC change dynamics to maintain the forest ecosystem. This research assessed the LULC of Phibsoo Wildlife Sanctuary which is one of the protected areas in Bhutan. The study was analysed using the Landsat imageries for five years from 2017 to 2021 using maximum likelihood classification. This research has also analyzed forest fragmentation using Fragstats which is one of the landscape metric tools. The key findings revealed that there is loss of dense forest at alarming rate but there is increase in agricultural land which is being triggered by the pandemic to ensure the food security in rural Bhutan. It has also found out that the degraded forest and barren land have been increased respectively up to 1.73 to 2.16 percent. In the landscape metrics it has depicted that the total area under forest, dense forest and moderately dense forest have been decreased whereas, the area under open forest and shrubs have been increased signifying that there is a loss of habitat for the wildlife. This research recommends Ministry of Agriculture and Forestry and Department of Parks and Services to find out the alternative interventions to control the forest fragmentation and change of LULC in wildlife sanctuary.
ZREC: Robust Recovery of Mean and Percentile Opinion Scores

Observer screening and subject opinion score recovery is essential for collecting a reliable QoE database. This paper proposes a new method, ZREC*, which uses Z-scores to estimate subject bias, inconsistency, and content ambiguity. Additionally, we propose Mean Opinion Score (MOS) recovery and Percentile Opinion Score (POS) recovery scheme based on the three estimated parameters. ZREC does not fully reject subjects, rather adjust their coefficients in the MOS/POS recovery, allowing for more efficient use of data collection. The estimated parameters of ZREC are highly correlated with more complex solver-based methods and standards. In addition, ZREC recovers MOS with smaller confidence intervals than the state of the art. Experimental results also demonstrate that using recovered pth POS as ground truth during training improves the performance of Satisfied User Ratio (SUR) prediction.
Ewes fed high-concentrate diets containing flint corn and increasing levels of exogenous amylolytic enzyme: effects on nutrient intake and digestibility

The aim was to evaluate if the inclusion of exogenous amylolytic enzyme affect the nutrient intake and digestibility in ewes fed high-concentrate diets containing flint corn. Five Santa Inês × Dorper crossbred ewes (54.04 ± 4.5 kg and aged 8 months) were used in a 5 x 5 Latin square design. All animals were housed in individual metabolic cages for 60 days. The treatments consisted of a control diet (without amylolytic enzyme) and four inclusion levels of an amylolytic enzyme (3,000, 6,000, 9,000, and 12,000 α-amylase dextrinizing units [DU] kg-1 dry matter [DM]). The enzyme was mixed into the feed at the time of supply to the animals. Data were analyzed by ANOVA, and orthogonal polynomial contrasts were used. Nutrient intake was not influenced by amylolytic enzyme inclusion. The digestibility of DM, organic matter, neutral detergent fiber, total carbohydrates, non-fibrous carbohydrates, and gross energy showed a quadratic increase with enzyme inclusion (P<0.05), with maximum values at levels of 7,600, 7,500, 6,300, 7,500, 7,400, and 7,800 DU kg-1 DM, respectively. Total digestible nutrients of diets also showed a quadratic increase, with a maximum value of 894 g kg-1 at a level of α-amylase activity of 7,786 DU kg-1 DM. The inclusion of the exogenous amylolytic enzyme from 6,300 to 7,800 DU kg-1 DM doesn’t alter nutrient intake and improves the digestibility in ewes fed high-concentrate diets.
Ocean Exploration Presentation for the Revelle Lecture , National November 1 , 2001 Academy of Sciences

Introduction What fuels scientific discovery? The experts on this subject, the philosophers of science, have recently tended to promote the value of hypothesis-driven research, in which questions suggest experiments that lead to tests of the proposed theory. Hypothesis testing is indeed a cornerstone of the scientific method. It is what we teach our students. It is how we write our proposals and how we logically present the arguments in our scientific papers. But as I think back on some of the more interesting scientific papers that I have written, I admit that this classic application of the scientific method was mostly a farce. The hypothesis that I set out to test (as per the funded National Science Foundation proposal) was not the question I ended up answering. The paper that I ultimately wrote made it sound as though I had known all along where the project was leading, whereas in fact it was only after the data were collected that I finally was able to, in effect, "read the story that the data had to tell. " The National Science Foundation (NSF) implicitly seems to understand that this experience is commonplace; in evaluating your prior accomplishments, they never ask whether you found the answer to the question you had been funded to address. All that counts is that your results are original and important. What this experience suggests to me is that there is still so much we do not know about the oceans that often we do not even know the proper questions to ask or an unambiguous way to test what hypotheses we do have. For that reason, I am a fan of ocean exploration.
MicroRNAs as Biomarkers and Therapeutic Targets for Acute Kidney Injury

Acute kidney injury (AKI) is a clinical syndrome where a rapid decrease in kidney function and/or urine output is observed, which may result in the imbalance of water, electrolytes and acid base. It is associated with poor prognosis and prolonged hospitalization. Therefore, an early diagnosis and treatment to avoid the severe AKI stage are important. While several biomarkers, such as urinary L-FABP and NGAL, can be clinically useful, there is still no gold standard for the early detection of AKI and there are limited therapeutic options against AKI. miRNAs are non-coding and single-stranded RNAs that silence their target genes in the post-transcriptional process and are involved in a wide range of biological processes. Recent accumulated evidence has revealed that miRNAs may be potential biomarkers and therapeutic targets for AKI. In this review article, we summarize the current knowledge about miRNAs as promising biomarkers and potential therapeutic targets for AKI, as well as the challenges in their clinical use.
Through-the-Multilayered Wall Imaging Using Passive Synthetic Aperture Radar

Most of the existing through-the-wall imaging (TWI) methods using synthetic aperture radar (SAR) tend to apply an active system. In this paper, a novel, passive SAR (PSAR), termed TWI-PSAR, is proposed, to focus the image of multi targets behind a single-/multilayered wall. TWI-PSAR would work in a bistatic configuration using wideband sources of opportunity and a single moving platform or a stationary linear array receiver. Incident angle and frequency are considered the parameters that influence TWI image directly. A stepped frequency transmitter with single incident angle is applied to investigate the incident angle effect. It could show the capability of small angle to suppress wall effects. Zero incident angle PSAR (Z-PSAR) is exploited in TWI for enhanced target identification and feature extraction as well as wall effect mitigation. In scenarios where background measurement might not be available or wall parameters are unknown for compensation, Z-PSAR could be adopted. Compared to other conventional imaging methods such as SAR and time reversal, numerical results show the superiority of the proposed TWI system in urgent situations with unknown wall parameters, employing free-space Green’s function. Moreover, to demonstrate the effectiveness of the proposed PSAR method in a real situation, sources of opportunity that are relatively wideband and aligned in several directions, such as analog TV, Digital Video Broadcasting—Terrestrial, GSM, and WiMAX, are used to image targets behind the wall. Also, Monte Carlo method is used to show the effectiveness of TWI-PSAR in different frequency and incident angle scenarios.
Systemic inflammation before and after antiretroviral therapy initiation as a predictor of immune response among

Despite the life-prolonging effects of Highly Active AntiretroviralTherapy (HAART), persons with HIV are prone to higher rates of non-AIDS related morbidity (such as heart, kidney, and liver disease) than the general This is likely due to chronic immune activation and inflammation that persists in H|V-positive persons despite suppressron. remains undetermined, however, is whether a link exists between chronic inflammation/immune activation and immune rec,overy on HAART. hypothesis of the present study is that higher levels of systemic subclinical inflammation and immune activation linked with suboptimal immune recovery on HAART.
The influence of tropical seasonality on breeding phenology, growth, survival and movement of a large reptile ( Varanus komodoensis )

Terrestrial animals in global wet-dry tropical ecosystems experience year-round high temperatures but concentrated summer rainfall. This highly seasonal precipitation is expected to have major evolutionary and ecological consequences for animals. We considered how strong seasonal patterns of rainfall might influence the environment and biological attributes of the world’s largest predatory lizard, the Komodo dragon ( Varanus komodoensis ). We predicted that annual variation in rainfall or temperature may influence the seasonal phenology of vegetation, and in turn, the phenology of Komodo dragon reproduction and hatchling emergence. Similarly, seasonal environmental differences may affect Komodo dragon rates of somatic growth, body condition, survival and daily movement. Our results indicated evidence of strong seasonal variation in mean monthly rainfall and leaf area index for open deciduous forest and closed dense forest. These environmental variables were significantly correlated with female Komodo dragon nesting activity and hatchling emergence. Neither Komodo dragon somatic growth rate nor body condition exhibited seasonal differences. There was, however, increased daily movement rates of Komodo dragons during the dry season. This suggests dry season associated life-history activities or thermoregulatory efficiency might explain increased daily movement. Ultimately, the Komodo dragon showed differential sensitivities in its biology to seasonal environmental variation.
Almonertinib plus chemotherapy versus almonertinib alone in second-line treatment of advanced non-small cell lung cancer with mutated epidermal growth factor receptor: a retrospective study

Objective This study mainly observes the efficacy and safety of almonertinib plus chemotherapy compared with almonertinib alone in the second-line treatment of advanced non-small cell lung cancer (NSCLC) with mutated epidermal growth factor receptor (EGFR). Methods In this study, clinical data of 68 patients with advanced NSCLC who were treated in Jiangsu Provincial People’s Hospital and Nanjing Chest Hospital between April 2020 and December 2022 were collected. Among them, the study group (n=30) received second-line almonertinib combined with platinum-based chemotherapy, while the control group (n=38) received almonertinib alone. The near-term and long-term effects and adverse events of the two groups were compared respectively. Results The median follow-up time until 31 December 2022 was 16.3 months (95% CI: 11.32-21.34). Results of chi-square analysis showed no statistically significant difference in objective response rate (ORR) and disease control rate (DCR) between the study group and the control group (56.73% vs. 55.3%, P>0.05; 100% vs. 86.8%, P>0.05). Log-rank test comparing the two groups revealed that the median progression-free survival (mPFS) of the study group was significantly longer than that of the control group by 3.1 months (12.7 vs. 9.6 months, P=0.01). Multivariate COX proportional risk model showed a statistically significant effect of treatment method and PS score on PFS (HR=0.43, P=0.023; HR=3.82, P=0.001). In terms of safety, most of the adverse events (AEs) were mild, with no grade 4-5 in the two groups, and the overall tolerance of patients was good. Conclusion For advanced NSCLC patients with EGFR mutations, second-line treatment with almonertinib plus chemotherapy significantly improved PFS compared with almonertinib alone without a significant increase in adverse events, providing efficacy and safety.
Fault Assessment of Circuit Breakers Based on Wide-Area Generalization Information and Improved ACGAN

Switching mechanical faults pose a significant risk, characterized by an evolution from mild to severe states. Accurate identification of these faults can greatly improve the operational reliability of conventional circuit breakers (CCBs). In light of this, a fault degree assessment method is proposed based on the wide-area information fusion and improved deep learning models. First, the switching fault-related vibration signal segments are segmented to reduce the interference of invalid components caused by the multisource nature of the vibration signals. Meanwhile, the wide-area information of fault signal segments is fused to synthesize color image samples to enrich the fault characterization information and minimize the limitations of single domain analysis. Second, targeting at the dataset class imbalance, the size of samples is expanded using the Wasserstein auxiliary classifier generative adversarial network with gradient penalty (WACGAN-GP) to balance the dataset. It aims to effectively generate sample data highly similar to the real samples and improve the robustness of fault degree assessment. In addition, the MDA-ResNeXt model is constructed by incorporating the multitask learning (MTL) model into the improved residual network (ResNet) and dual attention network (DANet) to enhance the fault degree assessment by mutual learning of fault classification and degree assessment tasks. The fault degree assessment example analysis shows that this method exhibits higher classification accuracy and operational efficiency compared to other methods.
Immigration Can Alleviate the Ageing Problem

This article explains how immigration can alleviate the burden that ageing poses for the welfare states of most western economies. It uses the results of a macroeconomic model to outline the impact of ageing and immigration on economic growth. It concludes that immigration can indeed make a positive contribution as long as the immigrants are able to find work. Moreover, as immigrants become better educated, they make a higher contribution to economic growth.
The Relationship Between Sensory Processing Pattern and Social Participation in 6-12-year-old Children With Autism: A Cross-sectional Study

Background and Objectives: Autism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders in children and causes defects in social functions, behaviors, and limited and repetitive interests.One of the symptoms of ASD is a disturbance in sensory function, which can disturb the social participation of affected people. Therefore, the present study was done to determine the relationship between the sensory processing pattern and social participation in children with autism aged 6 to 12 years. Methods: This applied research was carried out in 2022 using a cross-sectional descriptive and analytical method. The research population included 6-12-year-old children with ASD in Tehran. A total of 54 children participated in this study, of whom 49 cases were included in the study after meeting the inclusion criteria. Data collection tools included the Gilliam autism rating scale-3, the children participation assessment scale-parent version (CPAS-P), and sensory profile-2. Finally, the data were analyzed by descriptive and analytical statistics using SPSS software, version 26. Results: The overall score of autism in the studied children was 76.22±33.82. Among the variables of sensory processing, the highest mean score was related to low registration (51.17±18.55) and the lowest was related to sensation seeking (40.16±93.92). No significant relationship was observed between most variables of sensory processing patterns and social participation in CPAS-P. However, there was an inverse and significant statistical relationship between social participation and sensory-seeking pattern. Conclusion: The results showed that sensory seeking is related to social participation in children with autism. There is an inverse and significant statistical relationship between social participation and sensory search pattern and no relation with the others. Therefore, more severe sensory problems in these children are associated with more prominent social problems.
Organosilicon Compounds in Hot-Melt Adhesive Technologies

Hot-melt adhesives (HMAs) are thermoplastic materials that can bond various substrates by solidifying rapidly upon cooling from the molten state, and their modification with organosilicon compounds can result in crosslinking behavior, characteristic of gels. Organosilicon compounds are hybrid molecules that have both inorganic and organic components and can enhance the properties and performance of HMAs. The gel aspect of HMA with and without organosilicon modifiers can be considered in organosilicon-modified systems, the modifiers are often either sol–gel condensation products or their mechanism of action on the adherent surface can be considered of sol–gel type. The purpose of this manuscript is to present the current state of the art on the formulation, characterization, and application of HMAs and optimize their performance with organosilicon compounds for application in various industries such as automotive, construction, and photovoltaics. This review covers articles published within the period of 2018–2022. The article is divided into sections, in which information about hot-melt adhesives is described at the beginning. The following part of the presented review focuses on the composition of hot-melt adhesives, which takes into account the use of organosilicon compounds. The last part of this review outlines the future trends in hot-melt adhesives.