Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental investigation of ethylene-fueled ramjet rotating detonation engine with an annular combustor

A ramjet-mode rotating detonation engine fueled by ethylene is designed to demonstrate the feasibility of rotating detonation organization in annular combustor under high-speed incoming flow condition. The incoming flow with the design total temperature of 860 K and Mach number of 2 at the isolator inlet is provided by an air-heater, and the total mass flow is about 1.0 kg/s. The results show that the ramjet rotating detonation engine can operate in detonation mode when the equivalence ratio (ER) is no less than 0.54. By high-frequency pressure analysis and optical observation, two propagation modes of detonation wave are observed: rotating detonation in the ER range of 0.54-0.71 and longitudinally pulsating detonation in the ER range of 0.82-0.97. In rotating detonation mode, the wave velocity increases as ER increases, and the detonation velocities are about 60% of the CJ value. In longitudinally pulsating detonation mode, the propagation frequencies of the detonation wave are in the range of 1010 Hz-1017 Hz, which is much lower than that in rotating detonation mode, and the upstream propagation velocity of the detonation wave is estimated as 964 m/s. In addition, the maximum static pressure in the combustor increases with the ER from 0.54 to 0.97, and reaches 0.24 MPa when ER is 0.97. When ER is no more than 0.58, the isolator can effectively suppress the back pressure in the combustor, while ER is no less than 0.71, the back pressure in the combustor affects the flow at the isolator inlet, which implies that the isolator design needs to be optimized.
Physicochemical analysis as food safety in pasteurized milk in CV. Cita Nasional

Milk is an animal-source food that has a high nutritional with contains 2.8% protein, 3.0% fat, vitamin A, B, C, D, and others. CV. Cita Nasional is one of the dairy processing industries that produces pasteurized milk products. The purpose of this study was to analyze food safety by conducting physicochemical testing of pasteurized milk products with the types HTST (High-Temperature Short Time) or LTLT (Low-Temperature Long Time). The research method used was physicochemical testing on the finished product of pasteurized milk including pH, Fat, Total Solid, Brix and Organoleptic. Physicochemical testing was done by comparing the finished product data in CV. Cita Nasional with the Indonesian National Standard (SNI) data. The Mann-Whitney Test was used for the data analysis. The results showed a significant value for the variables of temperature 0.565; pH 0.104; Fat 0.001; Total Solid 0.000 and brix 0.000. Based on the data analysis results, the overall significance value was <0.05, which means that the Mann-Whitney Test showed a positive effect on the physicochemical quality and that the physicochemical test of pasteurized milk products meets the requirements of SNI.
Lightweight-YOLOv5s for the camouflaged personnel detection in the woodland

Unmanned aerial vehicles(UAVs) technology and target detection technology are increasingly integrated. However, the target detection networks are cumbersome and complex, and it is hard to directly deploy these networks on the UAVs. To address this problem, a Lightweight-YOLOv5s which can be applied to the UAVs is proposed to detect the camouflaged personnel in the woodland. Depthwise separable convolutions are added to the YOLOv5s for reducing the parameters and computational effort. Then a new channel pruning method based on Batch Normalization(BN) layer scaling factor with adaptive sparsity training is proposed for network compression, which can balance the compression ratio and accuracy of the detection. The pruned network is then fine-tuned to detect the camouflaged personnel. In addition, a special dataset is built for the camouflaged personnel detection in the woodland. The quantitative results on this dataset prove that the proposed Lightweight-YOLOv5s greatly improve the YOLOv5s. Parameters from 7.06M to 1.86M, floating point operations from 16.4G to 9.9G and inference time from 8.16ms to 7.06ms. Besides, mAP of the Lightweight-YOLOv5s is 0.83, which shows the excellent detection performance of the proposed method.
Numerical simulation research on fragments formation of cylindrical cased charge based on SPH method

In order to obtain the fracture and fragmentation of a cased charge under blast loading, the JWL equation of state of HMX-based PBX was fitted based on a cylinder test firstly, then the smooth particle hydrodynamics (SPH) method was used to perform a simulation of cased charge under interior blast loading, in the meantime, an blast test of cased charge was conducted. The results show that the parameters of JWL equation of state and the simulation method were reasonably. The simulated fragments velocities and calculated results from empirical formula agreed well with each other, the maximum error did not exceed 9.5%. Under the direct loading of the detonation wave, the fragments velocities increased to more than 1000m/s immediately within 5us, and then the fragments were continuously accelerated by detonation products and shock wave until the fragments reached the maximum velocities in the later 250us. Eventually, the shape of expansion contour of the casing tended to be ellipsoid. The method and results can provide references for the power design of the fragment warhead, as well as the protection design against the fragments.
Preparation and laser response of graphene oxide complexes for typical polynitramine energetic materials

The conflict between polynitramine energetic materials’ high energy density and its safety has been a challenge in its safe and efficient application. GO has been demonstrated to be promising materials for the regulation of energetic materials’ performance with various advanced preparation methods. However, the thermal-based performance of GO-based polynitramine energetic composites haven’t been deeply investigated. In this work, the GO@RDX and GO@CL-20 composites were obtained with the simple solvent evaporation method. GO-based polynitramine energetic composites’ structure was identified with SEM, PXRD, IR, and XPS, its thermal based performance was investigated with DSC, activation energy, and laser initiation system. This work could provide basis for the design of novel energetic composites with excellent comprehensive performance.
Distributed micro-energy harvesting for next generation of IoT in various scenarios

Recently, internet of things (IoT) attracts increasing attention and it tends to be applied in every aspect of life, due to the development of computer technology, sensor technology and micro/nano technology. Although IoT plays an important role in modern society to achieve smart life, it has to overcome the restriction of non-durable power source and to construct wireless sensor networks. Micro-energy harvesting technology from the environment is a powerful and promising approach to solve the energy supporting problem for wider applications of IoT. This article gives an overview of the recent developments of self-sustained IoT from the perspectives of energy harvesting technology and related technologies. The various energy harvesting techniques and the applications of IoT in different scenario are collected and presented. The energy schemes to prolong and optimize the energy in the WSN for IoT are discussed. Furthermore, perspectives and outlooks of self-powered IoT based on the micro-energy harvesting technology are presented.
The extraction effect of the skin of dragon fruit (Hylocereus polyrhizus) to its phenolic compounds and its antioxidants: A review

Dragon fruit contains various nutrients and functional values both in the flesh and skin. The skin of dragon fruit contains 30-35% water. It has lots of phenolic compounds and antioxidants, of which the higher amount of antioxidants are in the skin. These compounds are very easily damaged due to the extraction process especially if done incorrectly. This article is written to be a guide in selecting the extraction process in order to preserve the compounds. Based on the review, it is found the modern UAE (Ultrasound Assisted Extraction) process provides better quality than the other various conventional and modern extraction processes. UAE is an extraction process that does not use a heating process in its extraction which can damage the phenolic compounds and antioxidants. The results of the analysis of phenolic compounds using the UAE system have found betacyanin 17.64 mg, phenolic compounds 65.16 mg, flavonoid compounds 195 mg and antioxidants 620 mol. Thus, the recommended treatment to do is to use UAE extraction.
Measurement and analysis of an optimized Jiles–Atherton model considering the influence of temperature applied in magnetic shielding devices

Magnetic shielding devices work at different temperatures due to the influence of gas chamber and environmental temperature in the application of ultra-highly sensitive spin exchange relaxation free (SERF) magnetometers. To accurately evaluate the residual magnetic field (MF) of a magnetic shielding device at different temperatures, it is necessary to build a magnetization model considering temperature. However, the modeling of permalloy’s magnetization properties and the measurement of residual MF in magnetic shielding devices at different temperatures have not been considered. In this paper, an optimized Jiles–Atherton (JA) model of permalloy considering temperature is constructed, in which parameters are extracted using a particle swarm optimization algorithm. To further verify the effectiveness of the model in the magnetic shielding device, it is applied to the residual MF simulation of magnetic shielding devices and verified by measurement. The optimized JA model considering temperature improves the calculation accuracy of magnetic shielding devices, which is of great significance for the application of ultra-highly sensitive SERF magnetometers.
Ship Classification Based on Density Features in SAR Images

Ship classification in SAR images has attracted much attention by researchers. In this paper, a SAR target classification method for three commercial ships (container ships, bulk carriers and oil tanker) is proposed by analyzing their scattering features. Firstly, the ship slice is preprocessed to obtain the binary image, from which the density features can be extracted, which describing the ship scattering point distribution. Finally, the support vector machine (SVM) classifier is applied to classify these three types of commercial ships. The experimental results show that the classification accuracy of structure feature and strength feature is low, while the proposed density feature can reach 80% for three types of ships. The combination of structure features and strength features with density features can improve the classification accuracy. Combining the three features has the best classification performance.
Exploring the Individual Pulse Behavior of Pulsar J1701−3726 with Parkes

We have carried out a detailed study of polarimetric individual pulse emission from the pulsar J1701−3726 (B1658−37), observed at 1369 MHz using the Parkes 64 m radio telescope. The single-pulse sequences reveal the presence of the three major emission phenomena of pulse nulling, mode changing, and subpulse drifting. Trimodal distribution of the pulse energy is present, implying one population of nulls and two others of emission in the phase window. The mean flux density of the normal mode is almost two times that of the abnormal mode. Our data show that, for PSR J1701−3726, 64% of the time was spent in the normal mode and 12% was in the abnormal mode. The single pulses show the presence of two distinct periodic modulations using a fluctuation spectral analysis. About 24% of the nulls are found to create alternating bunches of nulls and bursts in a quasiperiodic manner with a longer periodicity of 48 ± 4 rotational periods. Additionally, the pulsar presents a steady even–odd modulated feature with a stationary longitude within the pulse window. The ramifications for constraining the viewing geometry and understanding the radio emission mechanisms are discussed.
Medical students’ perspectives on racism in medicine and healthcare in Germany: Identified problems and learning needs for medical education

Objective: Against the backdrop of considerable lack of research, this study provides the first exploration of medical students’ perspectives on racism in medicine and healthcare in Germany. The aim is to identify problems and learning needs for medical education. We address the following research questions: – How do medical students perceive racism in medicine and healthcare in Germany? – How do they address, understand, and discuss different aspects of racism in this context? – What are their expectations regarding the role of medical education? Methods: Semi-structured online focus group discussions were conducted with 32 medical students from 13 different medical schools in Germany. The discussions were transcribed and analyzed using qualitative content analysis. Results: Based on the analysis of the focus groups, four main hypotheses could be formulated: 1. Medical students perceive racism in medicine and healthcare in Germany as a ubiquitous phenomenon. 2. They have problems to identify racist behaviour and structures due to conceptual knowledge gaps. 3. They are insecure how to deal with racism on a situational level. 4. They hold medical education accountable to tackle racism in medicine and healthcare on various levels. Conclusion: Our study raises specific learning needs for addressing racism in medicine and healthcare in Germany. Research from the US-context might inspire innovative approaches for German medical education but needs to take national specificities into account. Further research is needed to prepare the implementation of antiracist training in German medical education.
“Where my responsibility lies”: Reflecting on medicine during the Holocaust to support personal and professional identity formation in health professions education

Objectives: Physicians and the medical/scientific establishment during Nazism and the Holocaust committed egregious ethical violations including complicity with genocide. Critical reflection on this history serves as a powerful platform for scaffolding morally resilient professional identity formation (PIF) with striking relevance for contemporary health professions education and practice. Study aim was to explore the impact of an Auschwitz Memorial study trip within the context of a medicine during Nazism and the Holocaust curriculum on students’ personal and PIF. Methods: The authors analyzed 44 medical and psychology students’ reflective writings from a 2019 Auschwitz Memorial study trip using immersion-crystallization qualitative thematic analysis. Results: Six distinct themes and 22 subthemes were identified and mapped to a reflective learning process model: 1. “What am I bringing? ” 2. “What am I experiencing through the curriculum? ” 3. “What am I initially becoming aware of as a first response? ” 4. /5. “How and what am I processing? ” 6. “What am I taking with me? ” Particularly compelling subthemes of power of the place, emotional experience, reflection on myself as a moral person, and contemporary relevance referred to impactful course elements. Conclusions: This curriculum catalyzed a critically reflective learning/meaning-making process supporting personal and PIF including critical consciousness, ethical awareness, and professional values. Formative curriculum elements include narrative, supporting emotional aspects of learning, and guided reflection on moral implications. The authors propose Medicine during Nazism and the Holocaust curriculum as a fundamental health professions education component cultivating attitudes, values, and behaviors for empathic, moral leadership within inevitable healthcare challenges.
Long non-coding RNAs CCAT1 and CCAT2 in colorectal liver metastases are tumor-suppressive via MYC interaction and might predict patient outcomes

Background Liver metastases severely reduce the long term survival of colorectal cancer patients. Long non-coding RNAs (lncRNAs) CCAT1 and CCAT2 have previously been found to be associated with impaired patient outcomes in primary colorectal cancer. We aimed to elucidate the role of CCAT1 and CCAT2 in colorectal liver metastases. Methods Total RNA was isolated from 97 human tissue samples of colorectal liver metastases and adjacent normal liver tissue. Gene expression analysis was performed by RT-qPCR and Multiplex ELISA and correlated with patient characteristics and survival. Gene expression, cancer cell migration, invasion, and proliferation were studied after siRNA-mediated knockdown of CCAT1, CCAT2, and MYC in metastatic colorectal cancer cell lines Colo205 and HROC277Met2. Results Elevated expression levels of lncRNAs CCAT1 and CCAT2, and their common target MYC in colorectal liver metastases were associated with prolonged progression-free survival after liver resection. High expression of CCAT1 was likewise associated with prolonged overall survival. Knockdown of CCAT1, CCAT2, and MYC resulted in increased migratory and invasive potential in metastatic colorectal cancer cell lines. Gene expression analysis revealed alterations in constituents of Wnt signaling following knockdown. Conclusion Our findings demonstrate tumor-suppressive functions of lncRNAs CCAT1 and CCAT2 in colorectal liver metastases. They suppress Wnt signaling directly and indirectly through target gene MYC and might prevent further metastatic spread from colorectal liver metastases.
Blending Restorative Practices With Multitiered Support Systems in High Schools Before and During the COVID Pandemic: Successes, Challenges, and Adaptations

We present outcomes from a study testing the effect of professional development (PD) focused on integrating restorative practices (RP) into multitiered student support systems on how high school staff, students, and parents perceive their school's discipline practices. A total of 16 high schools enrolled in the 2-year study during which COVID-related school closures and a switch to distance learning occurred. Eight schools assigned to the intervention condition received the PD and coaching during the first year and periodic booster trainings delivered remotely during the second year. Eight schools assigned to the control condition received the PD and coaching remotely during the second year. While results did not reach statistical significance, they were in the desired direction and suggested changes in staff perceptions favoring restorative discipline practices. Quantitative findings were supported by coaches’ fieldnotes which described facilitators and barriers to implementing RP during in-person as well as remote instruction. We offer recommendations for providing support to high school personnel and students as they move toward a nonpunitive approach to discipline that favors community-building over rule compliance in real and virtual learning environments.
The lived experience of people with disabilities during the COVID-19 pandemic on Twitter: Content analysis

Objective People with disabilities (PWDs) are at greater risk of COVID-19 infection, complications, and death, and experience more difficulty accessing care. We analyzed Twitter tweets to identify important topics and investigate health policies’ effects on PWDs. Methods Twitter's application programming interface was used to access its public COVID-19 stream. English-language tweets from January 2020 to January 2022 containing a combination of keywords related to COVID-19, disability, discrimination, and inequity were collected and refined to exclude duplicates, replies, and retweets. The remaining tweets were analyzed for user demographics, content, and long-term availability. Results The collection yielded 94,814 tweets from 43,296 accounts. During the observation period, 1068 (2.5%) accounts were suspended and 1088 (2.5%) accounts were deleted. Account suspension and deletion among verified users tweeting about COVID-19 and disability were 0.13% and 0.3%, respectively. Emotions were similar among active, suspended, and deleted users, with general negative and positive emotions most common followed by sadness, trust, anticipation, and anger. The overall average sentiment for the tweets was negative. Ten of the 12 topics identified (96.8%) related to pandemic effects on PWDs; “politics that rejects and leaves the disabled, elderly, and children behind” (48.3%) and “efforts to support PWDs in the COVID crisis” (31.8%) were most common. The sample of tweets by organizations (43.9%) was higher for this topic than for other COVID-19-related topics the authors have investigated. Conclusions The primary discussion addressed how pandemic politics and policies disadvantage PWDs, older adults, and children, and secondarily expressed support for these populations. The increased level of Twitter use by organizations suggests a higher level of organization and advocacy within the disability community than in other groups. Twitter may facilitate recognition of increased harm to or discrimination against specific populations such as people living with disability during national health events.
Mapping the youth soccer: A bibliometrix analysis using R-tool

In recent years, there has been an increase in the scientific production of youth soccer. However, a panoramic map of research on this subject does not exist. The aim of this study was to identify global research trends in youth soccer over time, among the main levels of analysis: sources, authors, documents, and keywords. The bibliometric software Biblioshiny was used to analyze 2606 articles in Web of Science (WoS) published between 2012 and 2021. The main conclusion is that US and UK scholars dominate the research; the topics of research are changing with the real needs, and research on the topic of performance has been of interest to scholars; talent identification and development, performance, injury prevention, and concussion are the studies of interest to scholars in this area. This finding, which offers a global picture of youth soccer research over time, can help future research in this or similar domains.
COVID-19 Infection Outcomes and Physical Activity Intensity in a Sample of College Students

Given the ongoing COVID-19 pandemic, it is important to identify lifestyle factors associated with infection outcomes. Physical activity is a lifestyle factor which measurably decreased during the pandemic. Purpose: To examine the relationship between physical activity and COVID-19 infection outcomes. Method: College students owning an iPhone with the Health app calculated their average daily steps for the 6-month period immediately before the pandemic and 2 years later. At the second time point, students provided levels of mild, moderate, and vigorous physical activity, hours/week of weightlifting, whether they had ever tested positive for COVID-19, and if so, the infection outcome. Results: Objectively measured pre-pandemic steps were significantly and positively correlated with steps 2 years later (P ≤ .001) as well as weightlifting, and mild and vigorous physical activity (P ≤ .033) suggesting that present physical activity participation may be returning to pre-pandemic levels. There were no differences between those who tested positive for COVID-19 and those who did not for any physical activity variable (P ≥ .275). However, among those infected, outcomes were negatively associated with weightlifting (P = .026) and vigorous physical activity (P = .055) suggesting that greater participation in these activities was associated with less severe outcomes.