Miracle-dz/UniFAR-FTUs huggingface dataset:
Shape Recognition For Ships: World War I Naval Camouflage Under The Magnifying Glass

Much of the experiments that led to the development of World War I ship camouflage were conducted on an intuitive basis or based upon pseudo-scientific work. As a result of this rather empirical approach, possible effects of the naval camouflage schemes that were developed against the background of submarine warfare on the Atlantic still remain unclear. So-called dazzle paint schemes were conceived to break up target contours and disclose the ship’s number, direction, speed and distance—thus complicating targeting through primitive stereoscopic range finders and periscopes used at the time. Digital image analysis provides helpful tools to assess the effects of dazzle painting techniques. By applying dazzle map textures to digital three dimensional models, different paint schemes can be examined and evaluated under variable atmospheric conditions. Shape recognition algorithms are implemented in an attempt to draw some conclusions about different dazzle designs. This paper provides a brief overview of the origins and methodology of dazzle camouflage. It proposes an experimental framework for ship classification purpose, thus exploring the possibilities of quantitative analysis of rendered computer images to evaluate possible effects of dazzle painting. The test results indicate some possible effects of the World War I paint schemes.
Continuous beam scanning performance of dipole array antenna coupled to meander two-wire parallel transmission line

A mechanical beam scanning dipole array antenna coupled to a meander two-wire parallel transmission line is proposed. A meander transmission line is introduced to the proposed antenna in order to suppress its grating lobe without using lumped element inductors. Numerical simulation demonstrates that the proposed antenna is capable of continuous beam scanning ranging from 2°(@o = 0) to 42°(@o = 180°) without grating lobe due to the meander transmission line.
Study protocol for the Shifting Weight using Intermittent Fasting in night shift workers (SWIFt) study: a three-arm randomised controlled trial comparing three weight loss strategies in night shift workers with obesity

Introduction Shift workers are at an increased risk of developing obesity and type 2 diabetes. Eating and sleeping out of synchronisation with endogenous circadian rhythms causes weight gain, hyperglycaemia and insulin resistance. Interventions that promote weight loss and reduce the metabolic consequences of eating at night are needed for night shift workers. The aim of this study is to examine the effects of three weight loss strategies on weight loss and insulin resistance (HOMA-IR) in night shift workers. Methods and analysis A multisite 18-month, three-arm randomised controlled trial comparing three weight loss strategies; continuous energy restriction; and two intermittent fasting strategies whereby participants will fast for 2 days per week (5:2); either during the day (5:2D) or during the night shift (5:2N). Participants will be randomised to a weight loss strategy for 24 weeks (weight loss phase) and followed up 12 months later (maintenance phase). The primary outcomes are weight loss and a change in HOMA-IR. Secondary outcomes include changes in glucose, insulin, blood lipids, body composition, waist circumference, physical activity and quality of life. Assessments will be conducted at baseline, 24 weeks (primary endpoint) and 18 months (12-month follow-up). The intervention will be delivered by research dietitians via a combination of face-to-face and telehealth consultations. Mixed-effect models will be used to identify changes in dependent outcomes (weight and HOMA-IR) with predictor variables of outcomes of group, time and group–time interaction, following an intention-to-treat approach. Ethics and dissemination The study protocol was approved by Monash Health Human Research Ethics Committee (RES 19-0000-462A) and registered with Monash University Human Research Ethics Committee. Ethical approval has also been obtained from the University of South Australia (HREC ID: 202379) and Ambulance Victoria Research Committee (R19-037). Results from this trial will be disseminated via conference presentations, peer-reviewed journals and student theses. Trial registration number Australian New Zealand Clinical Trials Registry (ACTRN-12619001035112).
Methylparaben as a preservative in the development of a multi-dose HPV-2 vaccine

ABSTRACT The human papillomavirus (HPV) vaccine is the simplest, most economical, convenient, and effective method of preventing cervical cancer. However, the current HPV vaccine is supplied as a single-dose vial with a relatively high cost per dose, which hinders its supply to low- and middle-income countries (LMICs), where the demand for HPV vaccine is highest. Therefore, it is necessary to develop a multi-dose HPV vaccine to promote large-scale affordable vaccination in LMICs. Moreover, the addition of preservatives is required to reduce the risk of microbial contamination in multi-dose vaccines within a single vial. In this study, we investigated the effects of six preservatives on HPV 16L1 and 18L1 virus-like particles in solution, as well as the aluminum adsorption status, under normal and high-temperature conditions. Multiple methods were employed, including dynamic light scattering, differential scanning calorimetry, an in vitro relative potency assay, and an in vivo potency assay in mice. Based on the above results, four types of selected preservatives were further studied, and an antimicrobial effectiveness test was performed on the HPV-2 vaccine, which was employed as a model HPV vaccine. Finally, three preservatives were selected based on their performance to evaluate the long-term stability of the HPV-2 vaccine. The results indicated that 0.12% methylparaben is the most suitable preservative for the multi-dose HPV-2 vaccine, guaranteeing the shelf life for at least three years and meeting “B” standards for antimicrobial effectiveness. The formula developed in this study can contribute toward combating cervical cancer in LMICs.
A film bulk acoustic resonator-based high-performance pressure sensor integrated with temperature control system

This paper presented a high-performance pressure sensor based on a film bulk acoustic resonator (FBAR). The support film of the FBAR chip was made of silicon nitride and the part under the resonator area was etched to enhance the sensitivity and improve the linearity of the pressure sensor. A micro resistor temperature sensor and a micro resistor heater were integrated in the chip to monitor and control the operating temperature. The sensor chip was fabricated, and packaged in an oscillator circuit for differential pressure detection. When the detected pressure ranged from −100 hPa to 600 hPa, the sensitivity of the improved FBAR pressure sensor was −0.967 kHz hPa−1, namely −0.69 ppm hPa−1, which was 19% higher than that of existing sensors with a complete support film. The nonlinearity of the improved sensor was less than ±0.35%, while that of the existing sensor was ±5%. To eliminate measurement errors from humidity, the temperature control system integrated in the sensor chip controlled the temperature of the resonator up to 75 °C, with accuracy of ±0.015 °C and power of 20 mW.
Exploring the Relationship Between Trust-Building Strategies and Public Engagement on Social Media During the COVID-19 Outbreak

ABSTRACT Communication is critical in a new health emergency because it motivates the public to take preventive actions. Prior research has shown that strategies including source credibility, information transparency and uncertainty reduction actions could enhance trust in health communication on social media. Yet research on how the government in China used these trust-building strategies to engage the public during the outbreak of COVID-19 is limited. Therefore, our exploratory study developed an integrated framework for conducting quantitative content analysis to examine how the most popular government-owned newspaper in China, People’s Daily, utilized a major social media platform, to engage the public. Our findings showed that accessibility to external links, provision of emotional support, and information on skills and resources were associated with increased public engagement with government COVID-19 posts. Insights gained can enable public health organizations and governments to focus on specific strategies to enhance public engagement.
Development of a Comprehensive Software System for Cargo Transportation by Unmanned Helicopters

Helicopters are extensively used for cargo transportation. It is difficult to design and implement an unmanned system to fulfill such a task. In this work, we present a comprehensive software architecture to tackle the cargo transportation problem between moving platforms. The presented software system is capable of handling all the required tasks, consisting of automatic taking off, moving platforms tracking, cargo identifying, grabbing, delivering and unloading, home returning and automatic landing. The integrated system was tested in the 2nd AVIC Cup – International UAV Innovation Grand Prix Competition, held in Beijing in September 2013, and won the first place in the final round. The actual results captured during the competition verify the robustness and capabilities of the proposed software architecture.
Quantum information processing and metrology with trapped ions

The use of trapped atomic ions in the field of quan- tum information processing is briefly reviewed. We summarize the basic mechanisms required for logic gates and the use of the gates in demonstrating simple algorithms. We discuss the potential of trapped ions to reach fault-tolerant error levels in a large-scale system, and highlight some of the problems that will be faced in achieving this goal. Possible near-term appli- cations in applied and basic science, such as in metrology and quantum simulation, are briefly discussed.
Key considerations for the use of ketamine and esketamine for the treatment of depression: focusing on administration, safety, and tolerability

ABSTRACT Introduction Racemic ketamine, a derivative of phencyclidine, has been used as a dissociative anesthetic since 1970. In 2000, the first randomized controlled trial showed a rapid relief of depressive symptoms. Since then, intravenous ketamine and intranasal S-ketamine have been validated for the treatment of depression and suicidal ideation following dose-response and double-blind placebo-controlled clinical trials. In clinical practice, after dose titration and with repeated treatments, patients may experience approximately 2–3 weeks of symptomatic relief from depression. Areas covered Areas covered in this narrative review include mechanism of action, dosing, safety, and tolerability. Some attention is paid to the possibility of R-ketamine as a future antidepressant. Expert opinion We recommend further investigation into treatment dosing and frequency strategies as well as approaches that prolong the therapeutic effects. The current fixed dosing of esketamine for obese individuals may be insufficient. Additional investigation into co-administration with somatic and neuromodulation treatments needs investigation. Finally, continuing to monitor research subjects and patients long-term for the emergence of adverse effects on cognition or other organ systems is critical.
Modeling Road Roughness with Conditional Random Fields

A vehicles fatigue damage is a highly relevant figure in the complete vehicle design process. Long term observations and statistical experiments help to determine the influence of differnt parts of the vehicle, the driver and the surrounding environment. This work is focussing on modeling one of the most important influence factors of the environment: road roughness. The quality of the road is highly dependant on several surrounding factors which can be used to create mathematical models. Such models can be used for the extrapolation of information and an estimation of the environment for statistical studies. The target quantity we focus on in this work ist the discrete International Roughness Index or discrete IRI. The class of models we use and evaluate is a discriminative classification model called Conditional Random Field. We develop a suitable model specification and show new variants of stochastic optimizations to train the model efficiently. The model is also applied to simulated and real world data to show the strengths of our approach.
Role of circRNA circ_0000080 in myocardial hypoxia injury

ABSTRACT This study aimed to investigate the potential role of circRNA circ_0000080 in myocardial hypoxia injury and the underlying mechanisms. Patients with myocardial hypoxia injury who were admitted to Xi’an No. 1 Hospital, China, were included in this study. The expression levels of circ_0000080, miR-367-5p, and COX2 were analyzed by real-time quantitative PCR (RT-qPCR); cell viability was measured by cell counting kit-8 (CCK-8) assay; and apoptosis was detected by flow cytometry. In addition, the release of cytokines was determined by Enzyme-linked immunosorbent assay (ELISA), and the binding sites between miR-367-5p and circ_0000080/COX2 were predicted by bioinformatics analysis and confirmed by dual-luciferase reporter and RNA pull-down assays. circ_0000080 was upregulated in patients with MI and in H9c2 cells treated with H2O2 and hypoxia/reoxygenation (H/R). Silencing circ_0000080 reduced the H/R-mediated apoptosis of cardiomyocytes and secretion of pro-inflammatory cytokines. Moreover, circ_0000080 functioned as an miR-367-5p sponge to regulate the expression of COX2. Downregulated miR-367-5p or overexpressed COX2 degraded cellular functions of cardiomyocytes. circ_0000080 knockdown alleviated myocardial hypoxia injury through the miR-367-5p/COX2 axis. Graphical abstract
Prevalence of Trachoma from 66 Impact Surveys in 52 Woredas of Southern Nations, Nationalities and Peoples’ and Sidama Regions of Ethiopia, 2017–2019

ABSTRACT Purpose Trachoma is endemic in Southern Nations, Nationalities and Peoples’ (SNNP) and Sidama regions of Ethiopia. We aimed to measure the prevalence of trachomatous inflammation—follicular (TF) among children aged 1 – 9 years and the prevalence of trachomatous trichiasis (TT) unknown to the health system among people aged ≥15 years following interventions for trachoma in 52 woredas of SNNP and Sidama regions. Methods From 2017 – 2019, 66 two-stage cluster sampling cross-sectional population-based surveys were carried out in 52 woredas (third-level administrative divisions) using a standardized World Health Organization-recommended survey methodology. This included one impact survey in 40 woredas, two consecutive impact surveys in 10 woredas and three consecutive impact surveys in two woredas. Water, sanitation and Hygiene (WASH) access was assessed using a modified version of the United Nations Children’s Fund/WHO Joint Monitoring Programme questionnaire. Results By the end of this survey series, 15 (23%) of the woredas had met the active trachoma elimination threshold (TF prevalence <5%) and 12 (18%) had met the TT threshold (TT ≤ 0.2%). Regarding WASH coverage, 20% of households had access to an improved drinking water source within a 30-min journey and 3% had an improved latrine. There was strong evidence that TF was less common in 4 – 6-year-olds and 7 – 9-year-olds than 1 – 3-year-olds. Conclusion Based on the findings, further antibiotic mass drug administration is required in 37 woredas and active TT case finding is needed in 40 woredas. In these surveys, access to WASH facilities was very low; WASH improvements are required.
MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction

Computational prediction of the RBP bound sites using features learned from existing annotation knowledge is an effective method because high-throughput experiments are complex, expensive and time-consuming. Many methods have been proposed to predict RNA-protein binding sites. However, the partial information of RNA sequence is not fully used. In this study, we propose multiple convolutional neural networks (MCNN) method, which predicts RNA-protein binding sites by integrating multiple convolutional neural networks constructed by RNA sequence information extracted from windows with different lengths. First, MCNN trains multiple CNNs base on RNA sequences extracted by different window lengths. Second, MCNN can extract more binding patterns of RBPs by combining these trained multiple CNNs previously. Third, MCNN only uses RNA base sequence information for RNA-protein binding sites prediction, which extracts sequence binding features and predicts the result with same architecture. This avoids the information loss of feature extraction step. Our proposed MCNN demonstrates a competitive performance comparing with other methods on a large-scale dataset derived from CLIP-seq, which is an effective method for RNA-protein binding sites prediction. The source code of our proposed MCNN method can be found in https://github.com/biomg/MCNN.
Single-substance trazodone exposures reported to US poison centers from 2000 to 2019

Abstract Background Individual case reports describe trazodone overdose resulting in QTc prolongation and cardiac arrhythmias. The clinical effects and outcomes associated with trazodone exposures on a large-scale basis are less well known. Objective The primary objective was to characterize the severity of single substance trazodone exposures and identify any relationships that may exist between dose of trazodone and severity of exposure. The secondary objective was to describe these exposures from a demographic and clinical symptom standpoint. Methods A retrospective review of single-substance trazodone exposures reported to the National Poison Data System (NPDS) from 1 January 2000 to 31 December 2019 was performed. The primary objective was to characterize the severity of trazodone exposures and relationships between ingested dose and level of care required or medical outcome. Results A total of 118,773 cases were included in the analysis of demographics and level of care required. A majority (59.5%) of cases did not require medical admission. Of the 81,698 cases with known medical outcomes, the most common clinical effects included mild-moderate CNS depression (49.7%), QTc prolongation (12.2% of cases in 2019), vomiting (9.0%), hypotension (7.0%), and tachycardia (7.0%). The median ingested dose associated with treatment, and release from the emergency department was 600 mg compared to 1500 mg in those admitted to the intensive care unit (ICU). Regarding medical outcome, median ingested dose ranged from 600 mg in those experiencing no effect to 1500 mg in those experiencing major effects. Cardiac-related clinical effects and the need for cardiac-specific interventions were overall infrequent. A dose–response relationship was identified for level of care and medical outcome. Conclusions Many trazodone exposures can be characterized as low severity due to the infrequent need for healthcare facility admission and large proportion of cases that experienced no effects or only minor effects.
Usability of Microsoft Teams and Stream in Nursing Education

This manuscript presents a technology acceptance and usability evaluation of an online software platform utilized for educating nursing students. Online nursing education is a complex and multifaceted process requiring nurse educators to be competent in technical informatics. Increasingly, nurse educators are asked to transform the traditional face-to-face classroom to include remote or hybrid experiences with little or no formal training. The pandemic may have created an atmosphere of stress and confusion while forcing a transition to an online learning environment. Recent trends in nursing education call for the increased use of technology that enhances the learning experience and mimic clinical practice. As the pandemic's restrictions are removed, nursing education will continue to require technological innovations. Variables measured during the study were usability (System Usability Scale), perceived usefulness, and perceived ease of use. The results of the study suggest participants perceived Microsoft Teams and Stream as useful and easy to use. In this situation, the use of technology positively supported the teaching-learning process.
A data-driven study on the sample size of cellular handoff probe system

The popularity of big data from cell phone communication records makes cellular handoff probe system become an optimal choice for the collection of traffic speeds, especially for the large-scale freeway network. As a probe-based technique, the issues related to sample size are vital for the accuracy of cellular handoff probe system. Based on the current findings from simulation and field test, this study made an extensive discussion about the sample size problems using the field data. The subsequent investigation began with the correlation analysis between the sample size and the potentially influencing factors (the length of handoff link and traffic volume). Furthermore, a Weibull distribution model was set up to fit sample size for different handoff links. And then, the impact of sample size on the accuracy of cellular handoff probe system was following. Finally, based on the above explorations, several concluding remarks were presented as a reference for determining appropriate sample size to achieve high precision.
Stretch shortening cycle fatigue: interactions among joint stiness, reflex, and muscle mechanical performance in the drop jump

The purpose of the present study was to in- vestigate the effect of strenuous stretch-shortening cycle exercise on the relationship between reflex and stiffness regulation during the drop jump. Ten healthy male subjects performed submaximal stretch-shortening cycle exercise on a special sledge apparatus. Exhaustion occurred on average within 3 min. A drop jump test from a 50-cm height was performed immediately before and after the sledge exercise, as well as 2 h, 2 days and 4 days later. The fatigue exercise showed relatively high blood lactate concentrations 12.5 (SD 2.6)mmol.l-: and a 2-day delayed increase of serum cretaine kinase concentration. In drop jumps, the short latency M1 component of the vastus lateralis muscle electromyo- gram (EMG) response showed a continuous decline throughout the entire follow-up period after fatigue (NS), whereas the medium latency EMG component increased 2 days after the postfatigue sessions (P < 0.05). Immediately after the fatigue exercise a pos- itive correlation (P < 0.05) was found between the cha- nges in the short latency EMG response and in the amount of knee joint stiffness during the early post- landing phase of the drop jump. This suggests that the M1 response was closely related to the stiffness changes during the initial braking phase of the drop jump. Increase of creatine kinase concentration on the 2nd day correlated negatively with the changes in the drop jump performance (P < 0.05). Since the short latency EMG component has almost recovered on the 2nd day, impairment of the mechanical function of the muscle might have taken place. In conclusion, exhausting stretch-shortening cycle exercise induced local muscle
The lessons of privatisation

tag=1 data=The lessons of privatisation, tag=2 data=Merriden, Trevor tag=3 data=Business Review Weekly, tag=4 data=21 tag=5 data=7 tag=6 data=March 1, 1999 tag=7 data=48-49. tag=8 data=PRIVATE ENTERPRISE tag=9 data=SCOTTISHPOWER%CONSERVATIVE PARTY%EUROPE%SWISSCOM%LEADER%MANAGERS tag=10 data='There are seven secrets of success to be learned from Europe's two decades of change. ' tag=32 data=THATCHER, MARGARET%BLAIR, TONY%BERNABE, FRANCO