Miracle-dz/UniFAR-FTUs huggingface dataset:
Translation, Cross-Cultural Adaptation, and Validation of The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Into Japanese

Background: Patient-centred healthcare is important, and patient experiences are considered a central pillar of quality in healthcare. The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS®) is an instrument used to quantitatively evaluate patient perspectives. This study's objective was to conduct the translation and adaptation of the HCAHPS® into Japanese and to determine the validity and reliability of the translated version.Methods: We translated the original English HCAPHS® into Japanese based on standardized guidelines. The content validity was assessed by an expert panel of eight members and 12 discharged patients. The discharged patients assessed the face validity. We assessed the average of all raters’ evaluations at the item level (I-CVI and I-FVI) and the scale level (S-CVI and S-FVI). We evaluated each item and the entire questionnaire, with cut-off points of 0.78 for the I-CVI and I-FVI and 0.9 for the S-CVI and S-FVI.Results: Regarding the content validity, the S-CVI was 0.99, and the I-CVIs for the individual items ranged from 0.95 to 1.0. Regarding the face validity, the I-FVIs of all items except for Q26 were 0.78 or higher. The S-FVIs were 0.96 for clarity and 0.98 for comprehension. The expert panel reviewed the translated Japanese version of the HCAHPS and modified it based on the patient raters' feedback.Conclusions: The translated HCAHPS® content is well adapted to the local context. Until now, there has been no standard instrument to measure the perspectives of hospitalized patients in Japan. The translated HCAHPS® is expected to have utility for measuring the quality of health indicators.Trial registration:No applicable.
Neural tracking control of surface vehicles with lumped uncertainties

In this article, an adaptive radial basis function neural network scheme for trajectory tracking control of surface vehicles is proposed. Under complex uncertainties, the proposed controller is designed by combining radial basis function neural network and finite-time control algorithm. Using the novel controller, the stability of accurate trajectory tracking can be ensured and the robustness of control system can be improved. Theoretical proof is proposed by Lyapunov function that the radial basis function neural network controller can make surface vehicle to accurately track desire trajectory steadily. Simulation studies conducted on a prototype CyberShip II demonstrate remarkable performance of proposed control scheme.
Air Pollution and Tourism: Evidence from G20 Countries

Theoretically, it is well argued that environmental factors affect the growth of the tourism industry; however, from an empirical perspective, some gaps still exist in the literature. We empirically examine the effect of carbon dioxide (CO2) and particulate matter (PM2.5) emissions on tourist arrivals in a panel of G20 countries. Using annual data from 1995 to 2014 and a series of panel data models, our results suggest that the growth of both CO2 and PM2.5 emissions adversely affects international tourist arrivals. The results also show that the observed effect of CO2 emissions is more pronounced in developed economies, while the effect of PM2.5 emissions is stronger for developing economies. Given these findings, our study provides and discusses a number of policy and practical implications.
Numerical Analysis of Difficulties of Growing Large-Size Bulk β-Ga2O3 Single Crystals with the Czochralski Method

The difficulties in growing large-size bulk β-Ga2O3 single crystals with the Czochralski method were numerically analyzed. The flow and temperature fields for crystals that were four and six inches in diameter were studied. When the crystal diameter is large and the crucible space becomes small, the flow field near the crystal edge becomes poorly controlled, which results in an unreasonable temperature field, which makes the interface velocity very sensitive to the phase boundary shape. The effect of seed rotation with increasing crystal diameter was also studied. With the increase in crystal diameter, the effect of seed rotation causes more uneven temperature distribution. The difficulty of growing large-size bulk β-Ga2O3 single crystals with the Czochralski method is caused by spiral growth. By using dynamic mesh technology to update the crystal growth interface, the calculation results show that the solid–liquid interface of the four-inch crystal is slightly convex and the center is slightly concave. With the increase of crystal growth time, the symmetry of cylindrical crystal will be broken, which will lead to spiral growth. The numerical results of the six-inch crystal show that the whole solid–liquid interface is concave and unstable, which is not conducive to crystal growth.
Electrical conductivity of poly(methyl methacrylate) nanocomposites containing interconnected carbon nanohybrid network based on Pickering emulsion strategy

ABSTRACT The formation of three-dimensional (3D) interconnected carbon network throughout insulative polymer matrix is advantageous to elaborating electrically conductive nanocomposites. Herein, oil-in-water (O/W) Pickering emulsion stabilized by carbon nanohybrids assembled with reduced graphene oxide (RGO) and carbon nanotubes (CNTs) was utilized as a template to achieve core-shell structured poly(methyl methacrylate) (PMMA) microsphere. The effect of synthesis time on the amphiphilicity of carbon nanohybrid stabilizer is studied. Investigations on the as-prepared Pickering emulsion and the electrical conductivity of the derived carbon nanohybrid composites were directed with respect to the concentration and formulation of carbon nanohybrid stabilizer, respectively. Considering a balance between electrical and mechanical properties, 0.74 wt% of carbon nanohybrid stabilizer was used to form O/W Pickering emulsion, which was responsible for the electrical conductivity of 4 × 10−8 S m−1 for the resulting RGO/CNTs/PMMA nanocomposites. The processing-structure-property relationship of carbon nanocomposites based on O/W Pickering emulsion strategy is further demonstrated in scanning electron microscopy (SEM) observation and thermo-mechanical analysis. The processing and functional synergies between GO and CNTs are identified to efficiently construct interconnected electrically conductive pathway in polymer matrix.
Chapter 3:Antisense Morpholino Oligomers and Their Peptide Conjugates

Morpholinos or phosphorodiamidate morpholino oligomers (PMOs) are antisense compounds. Their efficacy, sequence specificity, stability and low toxicity have been demonstrated in many publications (pubs.gene-tools.com). In the first part of this chapter we discuss the chemistry and mechanism of actio.
Fertilizer Application Levels in Potato Crops and the Diagnosis and Recommendation Integrated System (DRIS)

The rates of nitrogen, phosphorus, and potassium fertilizers used in the cultivation of potatoes are often considered excessive, as they can cause imbalance among the essential elements present in the soil. Using leaf nutrient analysis, this study aimed to evaluate the productivity of potato tubers subjected to different rates of nitrogen (N), phosphorus (P), and potassium (K) to establish the diagnosis and recommendation integrated system indices. Three experiments were conducted, one for each nutrient (N, P, and K), with Agata and Atlantic cultivars in Unaí (Minas Gerais state) and the Agata cultivar in Mucugê (Bahia state). The nutrient rates were 0, 30, 70, 120, and 280 kg ha−1 of N; 0, 150, 300, 600, and 900 kg ha−1 of P2O5; and 0, 70, 110, 220, and 450 kg ha−1 of K2O. Agata and Atlantic had adequate nutritional balance under K application. Agata had a more adequate nutritional balance under P application in Mucugê, whereas K fertilization was more decisive for the nutritional balance in Unaí. The differences in the results can be explained by the different soil textures and nutrients in the soil between the regions. The results show the need to consider the soil conditions and the nutrient uptake/translocation capacity of cultivars before establishing rates to increase production revenue and avoid the waste of fertilizers.
The Late Jurassic Sauropod Dinosaur ‘Morosaurus’ Agilis Marsh, 1889 Reexamined and Reinterpreted as a Dicraeosaurid

ABSTRACT The holotypic materials of the sauropod ‘Morosaurus' agilis—a partial skull, proatlases, and first three cervical vertebrae—have been a taxonomic and phylogenetic mystery since their initial description by O. C. Marsh in 1889 and redescription by C. W. Gilmore in 1907. Although most species of Morosaurus were subsumed into Camarasaurus in 1919, ‘M. ' agilis was left in the defunct genus without a proper taxonomic assignment. Similarities have been noted between ‘M. ' agilis and other Morrison Formation sauropod taxa, including Camarasaurus, Haplocanthosaurus, Diplodocus, and Brachiosauridae, but it had yet to be included in a phylogenetic analysis. Here we present new data following additional preparation and study that suggest ‘M. ' agilis is a basally diverging member of Dicraeosauridae, along with the recently described sauropod Kaatedocus. Based upon its recovery as a distinct taxon, we propose that ‘M. ’ agilis receive the new generic name Smitanosaurus, yielding the new combination Smitanosaurus agilis.
The Politic of Health Communication Model to Improve Government Hospital Service

The report aims to investigate poor health services among patients, doctors, medical personnel, non-transparent health information, and unequal health access for the community due to social, political, and economic status. The research used qualitative descriptive methods. The result explained that serious efforts are required to improve health services to the public in hospitals, good relations between doctors, media personnel, and patients. Health communication must be applied to develop good relationships between hospitals, doctors, and patients. Aceh government requires to make a political policy that guarantees the quality of health services equitably and equally. The community has the right to have access to health easily, equitably, and transparently. Keywords: politic-health communication, model, hospital-government eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bsby e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI3. 2563
Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images

The deep learning method, especially convolution neural networks (CNNs), has recently made ground-breaking advances on object detection in very-high-resolution (VHR) optical remote sensing images. However, as CNN is originally designed for the classification of natural images, these methods are not very suitable for object detection of remote sensing images. First, current CNN-based approaches have difficulty to deal with objects that have large rotation variation, which is widely existed in optical remote sensing images. Second, the detectors based on CNN only have limited receptive fields and, thus, can hardly utilize the global contextual information that is essential for accurate detection of small targets. To address these two issues, this article proposes a novel deep learning-based object detection framework, including a geometric transform module (GTM) and a global contextual feature fusion module (GCFM). Especially, the GTM combines rotation and flip transformation to deal with the multiangle characteristics of objects. The GCFM uses a spatial attention mechanism to adaptively involve global contextual information in feature maps to improve the recognition and location accuracy of targets. We introduce the two modules into the YOLOv3 framework to achieve end-to-end detection with high performance and efficiency. Comprehensive evaluations on three publicly available object detection data sets demonstrate the excellent performance of the proposed methods.
61. Using Machine Learning for Prediction of Poor Clinical Outcomes in Adult Patients Hospitalized with COVID-19

Background: As the ongoing COVID-19 pandemic develops, there is a need for prediction rules to guide clinical decisions Previous reports have identified risk factors using statistical inference model The primary goal of these models is to characterize the relationship between variables and outcomes, not to make predictions In contrast, the primary purpose of machine learning is obtaining a model that can make repeatable predictions The objective of this study is to develop decision rules tailored to our patient population to predict ICU admissions and death in patients with COVID-19 Methods: We used a de-identified dataset of hospitalized adults with COVID- 19 admitted to our community hospital between March 2020 and June 2020 We used a Random Forest algorithm to build the prediction models for ICU admissions and death Random Forest is one of the most powerful machine learning algorithms;it leverages the power of multiple decision trees, randomly created, for making decisions Results: 313 patients were included;237 patients were used to train each model, 26 were used for testing, and 50 for validation A total of 16 variables, selected according to their availability in the Emergency Department, were fit into the models For the survival model, the combination of age >57 years, the presence of altered mental status, procalcitonin ≥3 0 ng/mL, a respiratory rate >22, and a blood urea nitrogen >32 mg/dL resulted in a decision rule with an accuracy of 98 7% in the training model, 73 1% in the testing model, and 70% in the validation model (Table 1, Figure 1) For the ICU admission model, the combination of age 591 IU/L, and a lactic acid >1 5 mmol/L resulted in a decision rule with an accuracy of 99 6% in the training model, 80 8% in the testing model, and 82% in the validation model (Table 2, Figure 2) Conclusion: We created decision rules using machine learning to predict ICU admission or death in patients with COVID-19 Although there are variables previously described with statistical inference, these decision rules are customized to our patient population;furthermore, we can continue to train the models fitting more data with new patients to create even more accurate prediction rules (Table Presented)
MUNICIPAL SOLID WASTE: REVERSE LOGISTICS PERFORMANCE DETERMINES OPPORTUNITY COST OF BULK TIPPING

The opportunity cost concept refers to quantifying the opportunities lost upon choosing one investment option over a more economical alternative. The present study applies the concept to the process of choosing the best investment option for managing municipal solid waste. In a case study in Brazil, the options on the table are bulk collection and tipping versus reverse logistics with selective collection and sale of recovered components. The use of relative monetary values renders the results general and applicable in other scenarios. The bulk tipping option represents the reference cost of 100. The research postulates a linear relation between the opportunity cost of bulk tipping (y) and the efficiency of reverse logistics operations (x). Zero efficiency means bulk collection and tipping of all waste. Full efficiency means capture of all recyclable items, which in the case study amount to 80% of waste. Various intermediate points confirm the relationship that takes the form y=0.968x. The result shows that opportunity cost is dynamic in as much as changes of technologies and administrative procedures move it along that line. It also illustrates to municipal administrations the immediate economic effect of implementation and stepwise improvement of reverse logistics.
Gender Differences in Zinc and Copper Excretion in Response to Co-Exposure to Low Environmental Concentrations of Cadmium and Lead

Disruption of the homeostasis of zinc (Zn) and copper (Cu) has been associated with nephrotoxicity of cadmium (Cd). Herein, we report the results of a cross sectional analysis of urinary excretion of Zn, Cu, Cd and lead (Pb) in 392 Thais (mean age 33.6) living in an area of low-level environmental exposure to Cd and Pb, reflected by the respective median Cd and Pb excretion rates of 0.44 and 1.75 μg/g creatinine. Evidence for dysregulation of Zn and Cu homeostasis has emerged together with gender differentiated responses. In men, excretion rates for Zn and Cu were increased concomitantly, and their urinary Zn-to-Cu ratios were maintained. In women, only Cu excretion rose, causing a reduction in urinary Zn-to-Cu ratios. Only in women, urinary Zn-to-Cu ratios were associated with worse kidney function, assessed by estimated glomerular filtration rate (eGFR) (β = −7.76, p = 0.015). Only in men, a positive association was seen between eGFR and body iron stores, reflected by serum ferritin (β = 5.32, p = 0.030). Thus, co-exposure to Cd and Pb may disrupt the homeostasis of Zn and Cu more severely in women than men, while urinary Zn-to-Cu ratios and body iron stores can serve as predictors of an adverse effect of co-exposure to Cd and Pb.
An Investigation of the Benefits and Challenges of Graduation Internship Perceived by Students of English Language Studies

Graduation internship has been proved to play a vital role in students’ personal and professional development. It can also be considered a preparatory step for students to gain practical knowledge and supervised experience. However, what students encounter and how students value the internship are still debatable. This study explores how students of English Language Studies at Hoa Sen University, Vietnam, perceive the benefits and challenges of their graduation internship through a mixed-method study on 92 undergraduate students via survey questionnaires and in-depth interviews. The study employed descriptive data analysis and multiple regression to analyze quantitative data and grounded theory techniques for qualitative information. The findings show that students value graduation internship as an opportunity to enhance their personal skills and employability. The study also finds out that the difficulties students face when performing given professional tasks are insufficient personal skills and lack of professional knowledge. Additionally, results from multiple regression analysis reveal that understanding job values and confirming career aspirations have a positive correlation with perceived internship necessity while building future career plans and expanding working relationships have negative directions. The research findings can be of value for the higher educational institutions in adjusting or redesigning their programs to meet the demand of the workforce?
Dealing with Student Trauma: Exploring School Leadership Experiences and Impact

ABSTRACT This research investigated the experiences, training, and support needs of school leaders regarding students who have experienced trauma. There is a paucity of research exploring the perspectives and experiences of school leaders regarding student trauma. Leadership staff in Australian primary and secondary schools participated in interviews regarding student trauma. School leaders reported inadequate training, school policies, and resources in relation to how to respond to student trauma. An evidence-based, holistic guiding program incorporating appropriate training and support mechanisms at both the governance and school level is needed to support school leaders to assist students who have experienced trauma.
Robustly stabilizing proportional integral controller for uncertain system under computational delay

In a feedback control loop, when there exists a delay in processing the control signal (often called computational delay), it is difficult to stabilize the system, particularly when the system exhibits uncertainty. To solve this problem, we proposed a new robust proportional integral control strategy for a class of uncertain systems exhibiting parametric uncertainty. A two-stage scheme is proposed in which the first stage identifies the worst plant that has the highest chance of facing instability; and in the second stage, based on the worst plant, the tuning parameters of the proportional integral controller are determined using the stability boundary locus approach under the desired closed-loop specifications of gain and phase margins. The efficiency of the proposed scheme is verified for servo and regulatory control problems.
Effect of some environmental factors on the acute toxicity of deltamethrin to common carp: a laboratory study under aerobic condition

The toxicity of xenobiotic in aquatic ecosystems is influenced by many factors such as ambient temperature, water hardness, pond soil type, etc. In the present study, it was observed that air temperature, water hardness and soil sediment have profound influence on the toxicity of deltamethrin to common carp fry (ay. length 3.5 ± 0.5 cm, ay. weight 0.58 ± 0.25 g); 96h LC(sub)50 values for common carp at 38.07 ± 2.20°C maximum and 27.86 ± 1.22°C minimum air temperature in soft and very hard water were 0.102 and 0.495 µg lˉ¹, respectively. This value had increased significantly to 2.37 and 3.02 µg at 30.55 ± 1.21°C maximum and 26.04 ± 0.61°C minimum air temperature, respectively. When sediment was included, 96h LC(sub)50 at 38.07°C maximum temperature in very hard water was 1.808 µg 1ˉ¹ and this had increased to 8.073 µg 1ˉ¹ when tested at 30.55°C maximum temperature. Due to the 7.5°C increase in maximum and 1.7°C in minimum temperature, toxicity increased significantly. Lower toxicity in very hard water in comparison to soft water may be due to the lower solubility of deltarnethrin and high level of calcium. Adsorption reaction of deltamethrin with clay, humus, FeOOH, MnOOH and particulate organic carbon, and complexation reaction with dissolved organic carbon were responsible for the lowered toxicity in the experiment with sediment. Exposure time had no significant effect on acute toxicity of deltamethrin.