Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of risk factors for acute attacks complicated by respiratory failure in children with asthma

Objective To describe the proportion and clinical characteristics of hospitalized children with acute asthma attacks complicated by respiratory failure and to analyze the risk factors. Methods This retrospective study analyzed hospital admissions of children and adolescents with acute asthma attacks between January 2016 and December 2021. Inclusion criteria were used to identify eligible cases, and demographic information and disease characteristics were collected. Patients were categorized into respiratory failure group and the other group based on the result of artery blood gas analysis. Multivariate logistic regression was utilized to investigate the risk factors associated with respiratory failure resulting from acute asthma attacks. The data were analyzed using SPSS 22.0, and significance was considered at P < 0.05. Results Our research involved 225 participants, with 18.7% diagnosed with respiratory failure. The respiratory failure group was found to be younger and have higher percentage of male, while birth weight, nationality, and type of residence did not differ between the two groups. In the respiratory failure group, a significant difference was observed in emergency hospitalization, ICU treatment, severe to critical attack, dyspnea and allergy history. The two groups did not differ in admission season, first asthma diagnosis, respiratory infection and comorbidity. The respiratory failure group exhibited a higher proportion of atopy-only asthma and a lower proportion of T2-high asthma. The eosinophil count, and eosinophil percentage were lower in the respiratory failure group, while neutrophil count was higher. Having a history of allergies (OR = 2.46, 95% CI: 1.08–5.59) and neutrophil count (OR = 1.10, 95% CI: 1.00–1.21) were the risk factors for respiratory failure in children with asthma. There also existed that the risk of respiratory failure increases with decreasing age of the children (OR = 0.85, 95% CI: 0.73–0.99). Conclusion Notably, risk factors for respiratory failure in hospitalized asthma children include age, having a history of allergies, and neutrophil count. The identification of the above factors and the implementation of timely intervention can optimize the treatment of asthma in children.
Management of Hyperphagia and Obesity in Prader–Willi Syndrome

Prader-Willi syndrome (PWS) is a neurodevelopmental disorder caused by the absence of paternally expressed imprinted genes on chromosome 15q11–13. Individuals with PWS typically experience feeding difficulties and a lack of appetite in infancy, followed by weight gain, uncontrolled appetite, and a lack of satiety. Hyperphagia in PWS is exacerbated by impaired satiety, low energy expenditure, and intellectual difficulties, including obsessive-compulsive disorder and/or autistic behaviors. Without rigorous external management of their eating behaviors
Cyclic changes of the uterus and cervix in young and middle-aged women during the menstrual cycle: an initial 3T MR functional imaging study based on T2 mapping and diffusion tensor imaging (DTI) sequences

Poster: "ECR 2014 / C-0498 / Cyclic changes of the uterus and cervix in young and middle-aged women during the menstrual cycle: an initial 3T MR functional imaging study based on T2 mapping and diffusion tensor imaging (DTI) sequences" by: "Y. He, N. Ding, H. D. Xue, Z. Jin, H. Sun, J. Cao; Beijing/CN"
Review of Concentrated Solar Power Technology Applications in Photocatalytic Water Purification and Energy Conversion: Overview, Challenges and Future Directions

Photocatalysis, a promising semiconductor-based technology activated by free and eternal solar energy, has great potential for addressing environmental remediation and energy conversion challenges. Concentrated solar power (CSP) technologies, namely parabolic trough reflectors, solar power towers, parabolic dish reflectors and linear Fresnel reflectors, exhibited excellent feasibility for boosting solar-driven photocatalytic processes. Based on the structural characteristics of CSP technologies, the CSP-based photocatalytic reactors could be divided into concentrated types and non/low-concentrated types. This academic review comprehensively investigated the integration of CSP technology in photocatalysis, emphasizing the feasibility of sunlight as an ideal energy source. Additionally, considering the optimal light irradiance and reaction temperature demands for achieving efficient photocatalytic processes, the significance of introducing CSP into solar light-driven photocatalytic reactions was highlighted. Moreover, the current challenges that exist in CSP-based photoreactors were identified, and potential solutions were proposed accordingly. This work hopes to provide some references for the future study of CSP-based photocatalytic reactors under the theme of sustainable development.
Nitrous Oxide Emissions and Carbon Sequestration in Turfgrass: Effects of Irrigation and Nitrogen Fertilization (Year 1)

In this study, annual nitrous oxide (N2O) emissions were greatest in urea and least in untreated (no N) among treatments. Differences were negligible due to irrigation treatment. Irrigation levels may be decreased further in the final year to induce slight stress on the low irrigation treatment. All fertilizer treatments maintained acceptable quality, however the controlled-release fertilizer resulted in more consistent visual quality ratings compared to urea and untreated. Urea fertilizer had higher peak fluxes after fertilization and overall annual emissions than polymer-coated N-fertilizer. Thus, controlled released N fertilizers, such as polymer-coated urea, in turfgrass systems could potentially help mitigate N2O emissions.
Evaluation of the Success of Simulation of the Unmanned Aerial Vehicle Precision Landing Provided by a Newly Designed System for Precision Landing in a Mountainous Area

Unmanned aerial vehicle technology is the most advanced and helpful in almost every area of interest in human work. These devices become autonomous and can fulfil a variety of tasks, from simple imaging and obtaining data to search and rescue operations. The most challenging environment for search and rescue operations is the mountainous area. This article is devoted to the theoretical description and simulation tests of a prototype method of landing the light and the medium-weight UAVs used as supplementary devices for SAR (search and rescue) and HEMS (helicopter emergency medical service) in hard-to-reach mountainous terrains. The autonomous flight of a UAV in mountainous terrain has many specifics, and it is usually performed according to predetermined map points (pins) uploaded directly into the control software of the UAV. It is necessary to characterise each point flown on the chosen flight route line in advance and therefore to know its exact geographical coordinates (longitude, latitude and height of the point above the terrain), and the control system of UAV must react to the change in the weather and other conditions in real time. Usually, it is difficult to make this forecast with sufficient time in advance, mainly when UAVs are used as supplementary devices for the needs of HEMS or MRS (mountain rescue service). The most challenging phase is the final approach and landing of the UAV, especially if a loss of GNSS (global navigation satellite system) signal occurs, like in the determined area of the Little Cold Valley in the Slovak High Tatras—which is infamous for the widespread loss of GNSS signals or communication/controlling connection between the UAV and the pilot-operator at the operational station. To solve the loss of guidance, a new method for guiding and controlling the UAV in its final approach and landing in a determined area is tested. An alternative landing navigation system for UAVs in a specific mountainous environment—the authors’ designed frequency Doppler landing system (FDLS)—is briefly described but thoroughly tested with the help of artificial intelligence. An estimation of dynamic stability is used based on the time recording of the current position of the UAV, with the help of a frequency-modulated or amplitude-modulated signal based on the author’s prototype of a precision landing system designed for mountainous terrain. This solution could overcome the problems of GNSS signal loss. The presented research primarily evaluates the success of the simulation flights for the supplementary UAV. The success of navigating the UAV to land in the mountainous environment at an exact landing point using the navigation signals from the FDLS was evaluated at more than 95%.
Soil particulate organic matter contribution of hairy vetch ecotypes as winter annual legume cover crops

While this work is mostly dedicated to farmers and growers looking for soil management solutions during harsh winter seasons, it also presents information to researchers and analysts working on soil organic matter measurements. Soil particulate organic matter is a potential fertility index to measure and evaluate the contribution of hairy vetch ecotypes as winter cover crop in comparison to winter rye.
BBVA AI Factory at FinCausal 2023: a RoBERTa Fine-tuned Model for Causal Detection

The extraction of causal information is an important task during the automatic processing of documents in the finance domain. In this work, we present a system to identify cause and effect text spans in financial documents to solve the Spanish subtask of the FinCausa1-2023 Shared Task (Financial Document Causality Detection). Our system relies on a pretrained transformer-based language model – RoBERTa large – trained with data from the Spanish National Library (Biblioteca Nacional de España, BNE). After the fine-tuning of our solution, we achieved F1 and Exact Match scores of 0.91 and 0.56, respectively.
Characterization of A Compact Flexible Phase-Difference 4×4 Butler Matrix Realized on Ultra-Thin Substrate

The development of a compact flexible phase difference (F-PD) 4×4 Butler matrix is presented. To achieve a compact size, the circuit is realized on an ultra-thin and very high relative permittivity substrate material. Therefore, a 0.127 mm thick RT/Duroid RO6010 dielectric substrate is selected for circuit prototyping and then measured for experimental characterization. The dimensions of prototype take 39.9 mm × 42.5 mm. Measurement result demonstrates that for the input excitation at port P3, the reflection coefficient value is less than –10 dB within a 280 MHz bandwidth from the frequency of 1.92 GHz to 2.2 GHz. Along the bandwidth, the average transmission coefficient value is –7.5 dB with the amplitude imbalance of ±3.4 dB, while the average output phase difference is –119.5° with the phase imbalance of ±20°.
InkFusion3D: 3D Printing Flexible Sensors with Silicone Rubber and Conductive Ink Materials

With the continuous advancement in current sensor design research, most design schemes still rely on rigid or semi-flexible materials for sensor usage. These interactive devices are increasingly unable to meet the demands of users for adaptability, durability, and biocompatibility, limiting their use in dynamic environments. This paper introduces a novel flexible sensor, InkFusion3D, which is fabricated using a combination of low-cost conductive ink and silicone rubber through 3D printing technology. Due to the significant advantages of InkFusion3D material, such as low cost, durability, good biocompatibility, and wide applicability, it can be customized for various applications to address challenges. The paper elaborates on the manufacturing method of InkFusion3D and its sensing principle upon force application. It also proposes applications in medical and gaming scenarios, such as joysticks, buttons, tangible interaction models, and smart filler materials.
Retrieval of Total Phosphorus Concentration in the Surface Waters of Poyang Lake Based on Remote Sensing and Analysis of Its Spatial-Temporal Characteristics

Total phosphorus(TP) is one of the most important indicators for water quality in a lake, and obtaining its spatial and temporal distribution from remote sensing data is necessary for understanding, managing and protecting lake ecosystems. By surface water sampling and analysis on the Poyang Lake and entrance of five rivers from April to December, 2009, adopting the direct and indirect inversion algorithms for remote sensing data, which can better algorithmically inverse TP content combining MODIS data for Poyang Lake, its spatialtemporal change characteristics are analyzed. The results are as follows: 1) The analysis of the experimental data shows that the concentration of TP and total suspended sediment have good correlation, indirect inversion algorithm can get better inversion results; 2) TP is one of the main pollution indicators in Poyang Lake, TP content shows a upward trend in the wet season, the level season and the dry season; 3) spatial variation of the TP content of Poyang Lake is apparent in the three seasons, TP content in central lake is relatively low compared with the entire lake, TP content is the highest in the main navigation areas and entrance of the five rivers for the whole lake area, maintaining a high level state throughout the year.
Does acupuncture treatment modulate inflammatory cytokines in rodent models of depression? A systematic review and meta-analysis

Background Despite the increasing global prevalence of depression, existing treatment methods have limitations. Acupuncture has been recognized for its potential to alleviate various diseases by regulating inflammatory cytokines. However, a comprehensive systematic analysis of the effects of acupuncture on depression through inflammatory cytokines is currently lacking. This review aims to evaluate the impact of acupuncture on inflammatory cytokines in animal models of depression. Methods A comprehensive search was conducted in PubMed, EMBASE, MEDLINE, and the Research Information Service System to identify studies that met predefined inclusion and exclusion criteria. The quality of each included study was assessed using a 10-item checklist adapted from the Cochrane Collaboration methods and animal data review. Meta-analysis was performed using STATA 17.0 software for literature that met the inclusion criteria. Results The meta-analysis included a total of 21 studies involving 376 rodents. The overall quality of the included reports was rated as moderate or higher. The results demonstrated that acupuncture had a significant effect on the reduction of pro-inflammatory cytokines, including: IL-1β [SMD = 3.36, 95% CI (2.73, 4.00), I2 = 73.3%, p < 0.05], IL-6 [SMD = 3.05, 95% CI (2.45, 3.64), I2 = 68%, p < 0.05], and TNF-α [SMD = 3.30, 95% CI (2.53, 4.06), I2 = 74.5%, p < 0.05]. Conversely, acupuncture was associated with an increased expression of anti-inflammatory cytokines, notably: IL-4 [SMD = −1.64, 95% CI (−2.46, −0.82), I2 = 4.1%, p = 0.307] and IL-10 [SMD = −1.45, 95% CI (−2.24, −0.66), I2 = 0, p = 0.678]. These results suggest that acupuncture modulates cytokine levels in depressed rodents, including reducing the expression of pro-inflammatory cytokines and increasing the expression of anti-inflammatory cytokines, thereby regulating the immune-related antidepressant pathway. Conclusion While this study is limited by the number of included studies, the results suggest that acupuncture may be a viable option for the treatment of depression, and this effect is achieved through the regulation of various inflammatory cytokines. Systematic review registration This research endeavor was duly registered with PROSPERO (ID: CRD42023420919, https://www.crd.york.ac.uk/PROSPERO/display_record.php? RecordID=420919).
THE INFLUENCE OF INTELLECTUAL CAPITAL ON THE COMPANY FINANCIAL PERFORMANCE

This research aims to determine the relationship between company intellectual capital and company performance. The company's intellectual capital is measured by three indicators, namely value added human capital (VAHU), structural capital value added (STVA), and value added physical capital (VACA). Meanwhile, company performance is measured by Return on Assets (ROA). The object of this research is the Basic Industry and Chemical Sector companies. The data used in this study is secondary data obtained from IDX for the 2017-2021 period. The research method was carried out using descriptive analysis and multiple linear regression analysis. The total research population was 65 companies. Sampling was carried out using a purposive sampling method so that only company data that met the criteria was processed. The results of this research show that STVA and VACA have a positive and significant effect on company performance, while VAHU has an insignificant negative effect.
An intelligent rule-oriented framework for extracting key factors for grants scholarships in higher education

Education is a fundamental sector in all countries, where in some countries students com-pete to get an educational grant due to its high cost. The incorporation of artificial intelli-gence in education holds great promise for the advancement of educational systems and pro-cesses. Educational data mining involves the analysis of data generated within educational environments to extract valuable insights into student performance and other factors that enhance teaching and learning. This paper aims to analyze the factors influencing students' performance and consequently, assist granting organizations in selecting suitable students in the Arab region (Jordan as a use case). The problem was addressed using a rule-based tech-nique to facilitate the utilization and implementation of a decision support system. To this end, three classical rule induction algorithms, namely PART, JRip, and RIDOR, were em-ployed. The data utilized in this study was collected from undergraduate students at the University of Jordan from 2010 to 2020. The constructed models were evaluated based on metrics such as accuracy, recall, precision, and f1-score. The findings indicate that the JRip algorithm outperformed PART and RIDOR in most of the datasets based on f1-score metric. The interpreted decision rules of the best models reveal that both features; the average study years and high school averages play vital roles in deciding which students should receive scholarships. The paper concludes with several suggested implications to support and en-hance the decision-making process of granting agencies in the realm of higher education.
Characterization and bioactivity of β- ecdysterone from cell cultures of Trianthema decandra L.

In the present study, cell cultures from the nodal explants of Trianthema decandra L. were established on Murashige and Skoog’s (MS) medium supplemented with different concentrations (0.5, 1, 1.5, and 2 mg/L) of indole 3-acetic acid (IAA), 2,4-dichlorophenoxyacetic acid (2,4-D) and kinetin (Kn). Induction of callus was promising in MS medium supplemented with 1.5 mg/L 2,4-D after 25 days of inoculation. Their total phenolics and flavonoids levels were estimated and compared with those of in vivo . Antimicrobial (agar well diffusion method) and antioxidant (DPPH and FRAP methods) activities were studied. Further, six-weeks-old callus grown on MS medium with 2,4-D (1.5 mg/L) were harvested, dried and extracted using absolute methanol. Methanolic extracts of callus showed maximum inhibition against B. subtilis , P. aeruginosa, and A. flavus (IZ 14.33±0.32 mm, 15.66±0.32 mm and 13.33±0.65 mm, respectively) as compared to in vivo plant extract. Similarly, in the case of DPPH activity, methanolic extract of the callus demonstrated more antioxidant potential than in vivo. At 0.8 mg/mL concentration of callus extract showed inhibition of 85.02% as compared to 83.38% of plants grown in vivo . Likewise, in the case of the FRAP method, there is no significant difference in antioxidant potential (303±3.37 ascorbic acid equivalent/ mg in callus; AAE/mg) as compared to in vivo plant (310±10.01 AAE/mg). A new compound β - ecdysterone (20-hydroxyecdysone), was isolated and identified from the callus of this plant, which was also tested for its antimicrobial and antioxidant activity. Isolated pure compound β - ecdysterone were tested against selected strains of bacteria and fungi and prove effective E. aerogenes and K. pneumoniae with Minimum inhibitory concentration of 250 µg/mL concentration (IZ 11.00±0.00 mm and 12.00±0.00). compound does not impressive for antifungal profile.
Tailoring gamification to individual learners: A study on personalization variables for skill enhancement

This study conducts a quantitative inquiry into how components of gamification and customization are being used in Saudi Arabia's educational system. In our investigation, we zero in on how these factors could contribute to skill development. This investigation uses a thorough and rigorous quantitative research approach to probe students' preferences for gamification components and their thoughts on customization. The findings highlight the amazing congruence between people's preference for gamification components like points and badges and the need for adaptation and feedback in optimizing the effectiveness of the educational process. Through careful component analysis, the current investigation successfully separates two distinct constructs: one highlights the importance of flexibility and responsiveness, while the other emphasizes the significance of pace and cultural appropriateness. The results of this research have important policy and practice implications for Saudi Arabia, where educational reforms are now underway. The goal of these changes is to boost academic performance by introducing student-specific, interactive gaming into the classroom.
Study of pH and Thermodynamic Parameters via Circular Dichroism Spectroscopy of a Recombinant Human Lactoferrin

The production of human recombinant proteins to be used for therapeutic or nutritional purposes must focus on obtaining a molecule that is as close as possible to the native human protein. This biotechnological tool has been documented in various studies published in recent decades, with lactoferrin being one of those that has generated the most interest, being a promising option for recombinant technology. However, stability studies including thermodynamic parameters have not been reported for recombinant lactoferrin (Lf). The objective of this work was to obtain the human recombinant protein using the yeast Komagataella phaffii to study structural changes modifying pH and temperature using circular dichroism spectroscopy (CD). Thermodynamic parameters such as ΔH, ΔS and Tm were calculated and compared with commercial human lactoferrin. We propose the potential use of CD and thermodynamic parameters as a criterion in the production of recombinant proteins to be used in the production of specialized recombinant proteins.
Synergy or Antagonism? The Impact of Corporate Political and Social Strategies on Firm's Innovation Performance

Seeking a better understanding of how nonmarket strategies impact a firm's innovation performance, this article integrates institutional and multistakeholder perspectives to examine the independent and joint effects of corporate political activity (CPA) and corporate social responsibility (CSR) on a firm's innovation performance. Utilizing 3938 firm-year observations of China's A-shared listed private firms from 2014 to 2018, we find support for the predictions that both CPA and CSR strategies can positively affect firm's innovation performance. Additionally, we develop competing hypotheses for the interactive effect of CPA and CSR on firm innovation from a synergistic versus antagonistic view, and the findings are consistent with the antagonistic view. This article not only extends nonmarket strategy and innovation literature by providing insights into the independent and joint influence of CPA and CSR on firm's innovation performance but also highlights the necessity to consider the heterogeneity of nonmarket stakeholders when integrating different nonmarket strategies.