Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on In-line Insensitive High Explosive Train Based on Multipoint Overpressure Initiation

The feasibility of in-line insensitive high explosive train based on multipoint overpressure initiation is studied in this paper. The output capacity of the multi-point EFI is verified by the initiation margin test. The multi-point EFI can reliably detonate the insensitive booster TATB. Be directed against the multi-point EFI, the slow cook-off test and Liquid fuel fire test were carried out and the response level was not greater than combustion. A liquid fuel fire test was carried out aimed at a small-scale bomb composed by multi-point EFI and insensitive booster TATB. The response grade of small-scale bomb in the liquid fuel fire test is combustion. The results of series of tests show that a in-line insensitive high explosive train can be formed by using the multi-point EFI and insensitive booster.
Synthesis of butyl cinnamate using enzymatic membrane reactor in a free solvent system

Cinnamic acid is a phenolic compound that has the potential to act as a natural antioxidant. Cinnamic acid esterification can be performed by adding alcohol as an alkyl group donor. This esterification is carried out to increase the antioxidant capacity of cinnamic acid. Esterification of cinnamic acid with butanol as the alkyl group donor was the best condition to modify cinnamic acid. In this study, the synthesis of butyl cinnamate using a enzymatic membrane reactor (EMR) is carried out continuously with Lipozyme TL IM as the catalyst. This study aimed to determine the optimal conditions for the synthesis of butyl cinnamate using various concentrations of cinnamic acid, biocatalyst, residence time, and the presence of molecular sieves. The synthesis of butyl cinnamate at 40°C was optimum when molecular sieves were present with 0.01 M cinnamic acid concentration, 1% (w/v) biocatalyst, and 12 h of residence time.
The occurrence of doxycycline residue in raw dairy milk from Malang and Padang Panjang, Indonesia

Antibiotic residue in milk has a negative impact on human health. The objective of this study was to determine the presence of doxycycline residues in fresh dairy milk and to evaluate its dietary intake to Indonesian population through milk consumption. Ninety milk samples were collected from the District of Malang (East Java Province) and sixty-six milk samples from Padang Panjang City (West Sumatera Province). All samples were analyzed for doxycycline residue using high-performance liquid chromatography (HPLC). The estimated daily intake (EDI) was determined by multiplying the mean concentration of antibiotics and the average daily milk consumption dividing it by the weight of population target. The occurrence of doxycycline residue obtained in raw milk samples was 36.67% for samples from Malang and 12.12% for samples from Padang Panjang. The range and average concentration for doxycycline residue in milk samples were 44.8-557.2 ng/g and 203.0 ng/g for samples from Malang and 14.2-64.5 ng/g and 30.1 ng/g for samples from Padang Panjang, respectively. Samples from Malang shows the highest EDI values of doxycycline both for adult, and children population and demonstrated the toxicological risk of consumption doxycycline together with the present other types or groups of antibiotics residue in milk or other types of foods. The results obtained show that, to prevent the negative effects of antibiotic residues on human health, the presence of antibiotic residues in raw dairy milk still needs to be monitored regularly.
Improvement of high-power thyristor trigger circuit with switching-mode power supply for differential-mode noise reduction

This paper focuses on the differential-mode (DM) noise of high-power thyristor (HPT) trigger circuit with switching-mode power supply (SMPS) in capacitive pulsed power supply (CPPS). Parasitic parameter models of components are discussed and analyzed. Based on the parasitic parameter models of components, a DM noise prediction model of HPT trigger circuit with SMPS is developed. The generation mechanism and propagation paths of the DM noise in HPT trigger circuit with SMPS are investigated. To reduce the DM noise, a capacitive SMPS technique is adopted in the HPT trigger circuit with SMPS. Simulation results validate the theoretical analysis.
Numerical Simulation of High Power Microwave Coupling to Typical Individual Inertial Device

HPM (high-power microwave) weapons become the major threat to individual equipment which is developing to be unmanned and intelligent. A typical inertial device of individual equipment is taken as the research object to find out its coupling paths based on the analysis of function and structural characteristics, and the effects of HPM coupling to the typical inertial device are simulated by the numerical simulation software CST. The results shows that power and signal cables of MEMS (Micro-Electro-Mechanical System) accelerometer are the main coupling paths of HPM; The power cable has size coupling effect which is strongest when the sum of the cable length and twice the distance to the “ground” is equal to odd times of quarter wavelength, and weakest when the cable length is equal to even times of quarter wavelength; The signal cable has wavelength coupling effect that is positively correlated with cable length which is less than wavelength, and not affected by cable length which is greater than wavelength; The screen in signal cable not only greatly reduces the peak value of coupling voltage, but also effectively reduces the influence of cable length on the coupling effect. The research results provide support for the protection of individual inertial devices, and also provide a reference for the design of HPM weapons.
Application of Optimum Interpolation to the Analysis of Precipitation in Complex Terrain

Abstract Optimum interpolation is a procedure that allows the combination of observations with preliminary trial fields of the same quantities in order to produce an updated field in which the error variance is minimized. In this paper, an operational method is described to analyze observed precipitation amounts based on optimum interpolation. Since the area dealt with is topographically complex, this factor has been included in the operational method. The trial fields are provided by a three-dimensional numerical weather prediction model. This paper presents an estimation of the covariances of observational and trial field errors. Two mathematical assumptions are made: 1) trial field errors and observational errors are not correlated with each other; 2) observational errors and the deviations of the trial field values from the observations are uncorrelated. The first assumption is customarily made in any application of optimum interpolation. The second assumption is specific to this paper. These two stat.
Real-time Signal Processing of UWB Fuze Based On 1D-CNN Model

The main source of the burst-height error of UWB fuze is the random error related to the fuze signal processing method. Therefore, the use of reliable algorithms to reduce the error as much as possible to avoid bursting early and misfire is very important to improve the burst-height precision of fuze. In this paper, taking the output of the fuze sampling and integrating circuit as the research object, a real-time signal processing method based on the 1D-CNN model is proposed. Simulation results show that the target recognition rate of the 1D-CNN algorithm is as high as 100%, with no bursting early or misfires, and the mean absolute time error is as low as 0.0202s. The burst-height error is effectively reduced.
The Acoustic Correlates of [±ATR] Vowels: An Analysis by Reference Levels of Anyi Vowels

This paper pursues two goals simultaneously. First, it seeks to describe the [±ATR] vowels of Anyi Morofu acoustically by investigating six correlates: F0, F1, F2, F3, intensity, and duration. Anyi has a nine-vowel system that is divided evenly among four [+ATR] and four [-ATR] vowels. The vowel /a/ is ambidextrous in that it straddles both groups. The second goal is to demonstrate that reference levels can be used reliably to determine which one(s)of the six acoustic correlates is/are the most acoustically robust. The data that serves as the basis for this analysis comes from 10 participants who produced nine carrier sentences in which a monosyllabic verb of /hV/ structure occurred. Each sentence was repeated three times. The participants produced a total of 270 vowels (10 x 9 x 3). All in all, 1,602 acoustic tokens (270 x 6) are examined in this paper.
Tailorable Energetic Behavior of Al/Ti/CuO Composites

Aluminum (Al)/Copper oxide (CuO) are mostly common thermites in energetic materials. However, the ignition and combustion of Al/CuO are constrained by the oxide shell coating on the Al core. Titanium (Ti) nanoparticles have been incorporated into Al/CuO system to tune their energetic behavior. The reactivity and combustion heat of Al/Ti/CuO ternary composites have been measured via combustion cell and calorimetry, respectively. The pressurization rate of Al/30% Ti/CuO (the molar percent of Ti in the fuel is 30%) and Al/70% Ti/CuO is 1 and 1.5 times greater than Al/CuO. Consequently, Ti nanoparticles are promising candidate for enhancinging the reactivity of Al/CuO thermites. The results also suggest that Ti nanoparticles could be employed as useful additive in Al-based thermites to tune their combustion behavior.
Study of Sparse Terahertz Synthetic Aperture Imaging Algorithm

For the terahertz synthetic aperture near-field imaging problem, this paper proposes a SAR imaging method based on sparse reconstruction, which solves the problems of slow scanning speed, a large amount of data, and complicated calculations in the terahertz synthetic aperture imaging process. The targets in space are sparsely sampled and reconstructed using a compressed sensing reconstruction method. Simulation results show that high-quality target reconstruction can be achieved at low sampling conditions.
Siamese Network with multi-scale fusion attention for Visual Tracking

The existing trackers based on the Siamese network have poor tracking robustness in the face of complex situations such as target occlusion, rapid target movement and scale changes. To address this problem, we propose a new tracking framework based on the Siamese network with multi-scale fusion attention. The algorithm proposed in this paper increases the receptive field of the last two layers of the backbone network, strengthens the ability to capture target information, and outputs the last three layers of the backbone for feature fusion. We add an improved visual attention model, and the multi-scale channel attention model is used for the first time in this work, so as to strengthen the long-range dependence of feature information and the learning of channel attention, so that the network can select better salient features of the target. In this paper, to avoid to generate complex hyper-parameters for the target candidate frame and speeds up the training speed of the network, we introduce an anchor-free classification and regression network model. The experimental evaluation conducted on the OTB100 and VOT2016 datasets shows that the algorithm in this paper has good robustness in the face of challenges such as target occlusion, rapid target movement and scale changes, and effectively improves the accuracy of our algorithm.
Properties and Defence Applications of Carbon Nanotubes

Properties and defence applications of carbon nanotubes are discussed in the paper. Carbon nanotubes are important emerging materials, showing diverse unique and interesting properties, such as optical, electronic, magnetic and mechanical properties, at the same time high chemical reactivity as well, due to their quantum confinement effects, more important, these properties are tunable in some extend. Lots of applications such as strength-enhanced structure materials, radar-absorbing structure, armor, body armor, wearable thermoelectric devices, smart textiles, water purification, warfare agent sensors and flat panel display, and so on, can be found using carbon nanotubes.
Influence of compressive uniaxial strain on the piezoelectric response of wurtzite crystals

We present a computational study of the crystal structure and electric polarization of strained wurtzite III–V nitrides and II–VI oxides, performed in the context of density functional theory and the Berry phase method. The main goal is to investigate the degree to which the lattice parameters, piezoelectric polarization, and piezoelectric constant can be affected by compressive uniaxial strain along the hexagonal c-axis. We show that imposing such strain enhances the piezoelectric response, with both polarization and piezoelectric coefficient increasing from their equilibrium values. The internal parameter of the wurtzite structure also increases with uniaxial strain and eventually becomes equal to 0.5, resulting in a phase transition into the layered hexagonal structure. Furthermore, we discuss the physical origin behind the enhanced piezoelectricity, showing that the enhancement is caused by a strong increase in the response of the internal parameter to strain.
Circulating serum preptin levels in women with polycystic ovary syndrome: A systematic review and meta-analysis

Abstract Background Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder with complex pathogenesis and metabolic complications, such as insulin resistance. Among the new markers, preptin seems to play a significant role in metabolic disorders. Objective This meta-analysis was conducted to determine the relationship between circulating preptin levels and PCOS. Materials and Methods A systematic review and meta-analysis was performed to identify relevant articles in electronic databases such as PubMed, Web of Science, Scopus, Cochrane, EMBASE, and the Google Scholar search engine, using a predefined search strategy. A random-effects model was used to combine standard mean difference (SMD) and 95% CI to compare results between groups. Meta-regression and subgroup analysis were also performed to reveal the sources of heterogeneity. Results The meta-analysis encompassed a total of 8 studies and 582 participants. The results indicate a statistically significant association between PCOS and serum preptin levels, with a pooled standardized mean difference (SMD = 1.35; 95% CI]: 0.63-2.08; p < 0.001). Further analysis suggested a significant difference in serum preptin levels between women with PCOS and higher homeostatic model assessment for insulin resistance ratio (SMD = 2.40; 95% CI: 1.17-3.63; p < 0.001) within the subgroup. Conclusion Our meta-analysis shows that increased serum preptin levels are associated with PCOS, suggesting that preptin may be related to the pathogenesis of PCOS and may be recognized as a novel diagnostic biomarker for PCOS. However, further studies are needed to confirm our results.
Perspectives of Pediatric Nephrologists, Intensivists and Nurses Regarding AKI Management and Expected Outcomes

Background: Acute kidney injury (AKI) in critically ill children is associated with increased risk for short- and long-term adverse outcomes. Currently, there is no systematic follow-up for children who develop AKI in intensive care unit (ICU). Objective: This study aimed to assess variation regarding management, perceived importance, and follow-up of AKI in the ICU setting within and between healthcare professional (HCP) groups. Design: Anonymous, cross-sectional, web-based surveys were administered nationally to Canadian pediatric nephrologists, pediatric intensive care unit (PICU) physicians, and PICU nurses, via professional listservs. Setting: All Canadian pediatric nephrologists, PICU physicians, and nurses treating children in the ICU were eligible for the survey. Patients: N/A. Measurements: Surveys included multiple choice and Likert scale questions on current practice related to AKI management and long-term follow-up, including institutional and personal practice approaches, and perceived importance of AKI severity with different outcomes. Methods: Descriptive statistics were performed. Categorical responses were compared using Chi-square or Fisher’s exact tests; Likert scale results were compared using Mann-Whitney and Kruskal-Wallis tests. Results: Surveys were completed by 34/64 (53%) pediatric nephrologists, 46/113 (41%) PICU physicians, and 82 PICU nurses (response rate unknown). Over 65% of providers reported hemodialysis to be prescribed by nephrology; a mix of nephrology, ICU, or a shared nephrology-ICU model was reported responsible for peritoneal dialysis and continuous renal replacement therapy (CRRT). Severe hyperkalemia was the most important renal replacement therapy (RRT) indication for both nephrologists and PICU physicians (Likert scale from 0 [not important] to 10 [most important]; median = 10, 10, respectively). Nephrologists reported a lower threshold of AKI for increased mortality risk; 38% believed stage 2 AKI was the minimum compared to 17% of PICU physicians and 14% of nurses. Nephrologists were more likely than PICU physicians and nurses to recommend long-term follow-up for patients who develop any AKI during ICU stay (Likert scale from 0 [none] to 10 [all patients]; mean=6.0, 3.8, 3.7, respectively) (P < .05). Limitations: Responses from all eligible HCPs in the country could not obtained. There may be differences in opinions between HCPs that completed the survey compared to those that did not. Additionally, the cross-sectional design of our study may not adequately reflect changes in guidelines and knowledge since survey completion, although no specific guidelines have been released in Canada since survey dissemination. Conclusions: Canadian HCP groups have variable perspectives on pediatric AKI management and follow-up. Understanding practice patterns and perspectives will help optimize pediatric AKI follow-up guideline implementation.
The importance of trusting conditions for organizations’ readiness to implement mHealth to support healthy lifestyle behaviors: An interview study within Swedish child and school healthcare

Objective To explore perceptions among nurses, managers, and policymakers regarding organizational readiness to implement mHealth for the promotion of healthy lifestyle behaviors in child and school healthcare. Methods Individual semi-structured interviews with nurses (n = 10), managers (n = 10), and policymakers (n = 8) within child and school healthcare in Sweden. Inductive content analysis was used for data analysis. Results Data showed that various trust-building aspects in health care organizations may contribute to readiness to implement mHealth. Several aspects were perceived to contribute trusting conditions: (a) how health-related data could be stored and managed; (b) how mHealth aligned with current organizational ways of working; (c) how implementation of mHealth was governed; and (d) camaraderie within a healthcare team to facilitate use of mHealth in practice. Poor capability to manage health-related data, as well as lack of governance of mHealth implementation were described as dealbreakers for readiness to implement mHealth in healthcare organizations. Conclusions Healthcare professionals and policymakers perceived that trusting conditions for mHealth implementation within organizations were central for readiness. Specifically, governance of mHealth implementation and the ability to manage health-data produced by mHealth were perceived critical for readiness.
Customer satisfaction evaluation for drugs: A research based on online reviews and PROMETHEE-Ⅱ method

Online reviews of consumers after purchasing drugs online reflect the factors affecting their satisfaction. How to understand customer satisfaction through online reviews and tapping their needs to improve satisfaction has become an urgent issue facing pharmaceutical e-commerce companies. Based on the online reviews of Alibaba Health Pharmacy, six representative OTC online medicines were selected for this study, including the following categories: tonics, anti-cold drugs, rheumatism and orthopaedic drugs, skin drugs, gastrointestinal drugs, vitamins, and calcium. By training and testing the LDA topic model, five potential topics are extracted as factors affecting customer satisfaction, including drug efficacy, drug cost performance, online customer service, logistics and transportation, and packaging. In this paper, Sentiment Analysis is used to process the review text to quantify the sentiment tendency of the review, and determine the evaluation scale value. Then, the random dominance among various drug factors is determined based on the Stochastic Dominance Rules. Finally, the PROMETHEE–Ⅱ method is used to determine the ranking value of the importance of each factor. The results suggest that the factors in different types of OTC drugs rank differently, which is also rationalized in this paper. This study provides a significant reference for improving customer satisfaction with pharmaceutical e-commerce.
Money can’t buy happiness: A randomized controlled trial of a digital mental health app with versus without financial incentives

Mental health disorders are prevalent among college students and increasing in frequency and severity. However, there is a significant gap between those who need treatment and those who engage in treatment. Given the documented efficacy of financial incentives for promoting health behavior change and engagement in treatment, financial incentives may help, along with nonfinancial behavioral incentives such as motivational messaging, gamification, and loss aversion techniques. We compared brief (28-day) use of two versions of a behavioral economics-inspired digital mental health app, NeuroFlow: (1) the full app including financial incentives and nonfinancial behavioral incentives (treatment group) and (2) a version of the app with nonfinancial behavioral incentives only (control group). In our intent-to-treat analyses, in order to examine the primary outcome of app engagement, a one-way analysis of variance (ANOVA) (treatment vs. control) was conducted, and to examine the secondary outcomes (depression, anxiety, emotion dysregulation, and wellbeing), a two-way repeated measures ANOVAs (treatment vs. control × baseline vs. post-trial) were conducted. We found that there were no differences between treatment groups on app engagement or the change in the mental health/wellness outcome measures. There was a main effect of timepoint on symptoms of anxiety and emotion dysregulation, such that there were significantly lower self-reported symptoms at post-trial relative to baseline. Our results suggest that financial incentives in digital mental health apps over and above nonfinancial behavioral incentives do not have an impact on app engagement or mental health/wellness outcomes.
Treatment of talus osteochondral defects with arthroscopy debridement and bone marrow concentrate: a 6-month follow-up case report study

Abstract Talus osteochondral defects are a common cause of ankle pain and disability, and require prompt and effective treatment to prevent further damage and improve function. While surgical interventions, such as arthroscopy debridement and bone marrow concentrate therapy, have been used separately to treat these injuries, their combination may offer synergistic benefits. A 28-year-old male patient presented with a history of ankle pain and difficulty with weight-bearing activities. Post-operatively, the patient reported significant improvement in pain and function.