Bioactive MXene Promoting Angiogenesis and Skeletal Muscle Regeneration through Regulating M2 Polarization and Oxidation Stress.

Complete repair of skeletal muscles caused by severe mechanical damage and muscle-related diseases remains a challenge. 2D Ti3 C2 Tx (MXene) possesses special photoelectromagnetic properties and has attracted considerable attention in materials science and engineering. However, the bioactive properties and potential mechanism of MXene in tissue engineering, especially in skeletal muscle regeneration, are unclear. Herein, the antioxidation and anti-inflammation activities of MXene and its effects on myogenic differentiation and regeneration of skeletal muscle in vivo are investigated. In vitro studies have shown that MXene has excellent antioxidation and anti-inflammatory properties, and promotes myogenic differentiation and angiogenesis. MXene can remove excess reactive oxygen species in macrophage cells to alleviate oxidative stress and induce the transformation of M1 macrophages into M2 macrophages to reduce excessive inflammation, which can significantly promote the proliferation and differentiation of myoblasts, as well as the proliferation, migration, and tube formation of endothelial cells. Animal experiments with rat tibial anterior muscle defects show that MXene can promote angiogenesis, muscle fiber formation, and skeletal muscle regeneration by regulating the cell microenvironment through anti-inflammatory and antioxidant pathways. The findings suggest that MXene can be used as a multifunctional bioactive material to enhance tissue regeneration through robust antioxidation, anti-inflammation, and angiogenesis activities.

Automatic identification of harmful algae based on multiple convolutional neural networks and transfer learning.

The monitoring of harmful phytoplankton is very important for the maintenance of the aquatic ecological environment. Traditional algae monitoring methods require professionals with substantial experience in algae species, which are time-consuming, expensive, and limited in practice. The automatic classification of algae cell images and the identification of harmful phytoplankton images were realized by the combination of multiple convolutional neural networks (CNNs) and deep learning techniques based on transfer learning in this work. Eleven common harmful and 31 harmless phytoplankton genera were collected as input samples; the five CNNs classification models of AlexNet, VGG16, GoogLeNet, ResNet50, and MobileNetV2 were fine-tuned to automatically classify phytoplankton images; and the average accuracy was improved 11.9% when compared to models without fine-tuning. In order to monitor harmful phytoplankton which can cause red tides or produce toxins severely polluting drinking water, a new identification method of harmful phytoplankton which combines the recognition results of five CNN models was proposed, and the recall rate reached 98.0%. The experimental results validate that the recognition performance of harmful phytoplankton could be significantly improved by transfer learning, and the proposed identification method is effective in the preliminary screening of harmful phytoplankton and greatly reduces the workload of professional personnel.

Epidemiological analysis of rubella and genetic characteristics of 1E-L2 subtype strains in Liaoning Province in 2019 / 中国生物制品学杂志

@#Objective To understand the epidemiological characteristics of rubella in Liaoning Province in 2019,and analyze the epidemiological characteristics of rubella virus genotypes and gene subtypes at molecular level.Methods By collecting the incidence data of rubella in Liaoning Province in 2019 from the national notifiable infectious diseases reporting system,the epidemiological characteristics of rubella were analyzed.At the same time,the measles/rubella laboratory network of Liaoning Province was used to collect throat swab samples from suspected rubella outbreaks and sporadic cases.After three generations of blind transmission of positive samples,rubella virus isolates were obtained.Viral nucleic acid was extracted,amplified and the 739 bp nucleotide fragment sequence of E1 gene of positive rubella virus isolates was determined.The phylogenetic tree was constructed with the genotype reference strain sequences recommended by WHO and the published gene subtype reference strain sequences.The genotypes and subtypes were compared and the amino acid variation sites were analyzed.Results The reported incidence of rubella in Liaoning Province in 2019 was 0.927/100 000,which showed an obvious trend of recovery after a significant decrease in the incidence of rubella from 2017 to 2018,and the age of rubella patients was mainly 15 to 19 years old.A total of 55 rubella virus strains were isolated from 7 cities in Liaoning Province in 2019.Sequence phylogenetic analysis showed that all rubella isolates belonged to 1E-L2 gene subtype,which was also the dominant gene subtype of rubella epidemic in China.The nucleotide and amino acid homology among the strains were 99.051%～99.864% and 98.780%～100% respectively.Compared with the BRD-Ⅱ vaccine strain,the rubella isolates mainly showed A333T mutation and showed highly conserved amino acid sequence.Conclusion The 2019 rubella isolates in Liaoning Province were all 1E-L2 gene subtypes,which led to the resurgence of rubella epidemic.Therefore,molecular epidemiological surveillance of rubella virus should be further strengthened to provide a basis for the formulation and elimination of rubella prevention and control measures in Liaoning Province.

Serological analysis of varicella-zoster virus IgG antibody in healthy people aged 1～30 years in Liaoning Province / 中国生物制品学杂志

@#Abstract：Objective To carry out serological analysis of varicella⁃zoster virus（VZV）IgG antibody level in healthy people aged 1 ~ 30 years in Liaoning Province. Methods In October 2020，3～5 mL venous blood samples were collected from 617 healthy people aged 1～30 years selected from six counties and districts in Shenyang，Fuxin and Dandong of Liaoning Province by stratified random sampling method，of which serum samples were collected and determined for VZV IgG antibody level by ELISA. The positive rate of serum antibody and geometric mean concentration（GMC）of antibody were calculated and compared. Results Among 617 serum samples，302 samples were positive for VZV IgG antibody，the positive rate was 48. 947%，and the GMC was 112. 772 mIU／mL. The positive rate of VZV IgG antibody was 29. 670%～75. 789% and the GMC was 45. 508～366. 559 mIU／mL in healthy people of various ages. Both of the antibody positive rate（χ2 = 67. 104， P < 0. 001）and GMC（F = 20. 685，P < 0. 001）showed significant differences. The positive rates of VZV IgG antibody in male and female were 44. 817% and 53. 633% respectively，which showed significant difference（χ2 = 4. 779，P = 0. 029）， while the GMCs were 96. 983 and 133. 829 mIU／mL respectively（t = -1. 958，P = 0. 051）with no significant difference. The positive rates of VZV IgG antibody of healthy people in Shenyang，Fuxin and Dandong of Liaoning Province were 55. 224%，40. 201% and 51. 152% respectively with significant differences（χ2 = 9. 683，P = 0. 008），of which the positive rate of FuxinwassignificantlylowerthanthoseofShenyangandDandong（χ2 =9. 046and5. 013，P =0. 003and0. 025，respectively）； While the GMCs were 133. 523，85. 953 and 123. 713 mIU／mL respectively with no significant difference（F = 0. 514， P = 0. 598）. Among 617 serum samples，54 sampleswere suspicious，which remained within the criticalrange afterre⁃examina⁃ tion，while the gap between positive rate and the total percentage of positive and suspicious results gradually decreased with the increase of age，indicating that the immunity to varicella gradually increased with the increase of age. Conclusion The VZV⁃IgG antibody level of healthy people aged 1～30 years in Liaoning Province increased gradually with age，while the overall level was low. To control the spread of varicella virus，it is recommended to increase varicella vaccine coverage in vulnerable areas and susceptible population to build VZV immune barrier.

Epidemiological analysis and prediction of varicella in Liaoning, 2006-2021 / 中国热带医学

@#Abstract: Objective　By collecting and sorting the information of varicella cases reported in Liaoning Province from 2006 to 2021, the epidemiological characteristics were analyzed, and the monthly incidence data were predicted, so as to explore the prevention and control strategy of varicella disease in Liaoning Province. Methods　By collecting the characteristic information of varicella cases in Liaoning Province, epidemiological analysis was carried out on the regional, population, and temporal characteristics of varicella incidence. The monthly incidence data of varicella were fitted with Eviews software, seasonal ARIMA model was used for modeling, and models were selected according to SC and AIC. After modeling, the model was used to predict the incidence data in 2022. Results　The incidence rate of varicella in Liaoning Province has increased in recent years. The onset time was "bimodal distribution", with the main peak occurring from November to January of the next year and the secondary peak occurring from May to June. Since 2019, the onset age has shifted backward. From the original 0-<10 age group with the highest incidence rate, it shifted to the 10-<20 age group with the highest incidence rate. From 2006 to 2021, the incidence of varicella mainly concentrated in people aged 0 to <40 years old, and the incidence rate of the population over 40 years old showed a cliff-like decline. The incidence of chickenpox was higher in the central region of Liaoning Province, such as Shenyang, Dalian, Anshan and Panjin, and relatively low in Huludao, Jinzhou, Fuxin and Liaoyang. The distribution of the population was mainly students, followed by kindergartens and scattered children. ARIMA model of monthly incidence data was established by software as ARIMA (1, 0, 1) (1, 1, 1)12. Conclusions　The incidence rate of varicella in Liaoning Province has been rising in recent years. The incidence is obviously seasonal, and the age group of the affected population has moved backward. It is predicted that the incidence will continue to increase in 2022. The prevention and control of varicella should still be the current key work. In order to reduce the population incidence rate, two-dose vaccination strategies should be vigorously promoted the implementation of the, and the inclusion of varicella vaccine in the immunization program should be achieved as soon as possible.

Bioactive anti-inflammatory antibacterial metformin-contained hydrogel dressing accelerating wound healing.

Highly efficient wound healing and skin regeneration remain a challenge. Long-term inflammation and bacterial infection can inhibit the healing process and lead to the scar formation. Here, we report a hydrogel (FEM) formed by self-assembly of ε-poly-l-lysine-F127-ε-poly-l-lysine (EPL-F127-EPL) and metformin for wound repair. Especially, the role of metformin-based antibacterial hydrogel in wound healing and repair was investigated for the first time. FEM has inherent multifunctional properties, including controlled metformin release, anti-inflammatory and antibacterial activity, temperature responsiveness, injectable and self-healing capabilities. The in vivo results showed that FEM dressings accelerated the wound healing by stimulating the angiogenesis process of the wound tissue and anti-inflammation. This study shows that the multifunctional metformin-contained hydrogel scaffolds could enhance the wound repair through the anti-inflammation and accelerated angiogenesis, which could also expand the biomedical applications of metformin-based biomaterials.

Impacts of Regional Speed Control Strategy Based on Macroscopic Fundamental Diagram on Energy Consumption and Traffic Emissions: A Case Study of Beijing.

Numerous studies shown that particulate matter in the ambient environment has a significant impact on the health of the respiratory system. To understand the interrelationships between urban built environment, transportation operations and health, this study proposes an innovative approach that uses real-world GPS datasets to calculate energy consumption and emissions from transportation. The experiment used the traffic operation state in the Fourth Ring Road of Beijing as the research object and tested the impact of using the Regional speed optimization (RSO) strategy based on Macroscopic Fundamental Diagram (MFD) on energy consumption and emissions during peak hours. The impact of traffic emission on the health of roadside pedestrians is also considered. Changes in PM2.5 concentrations around four different built-up areas were calculated and compared. The computational experiments indicate that the PM2.5 pollutants exhausted by the traffic on the Ring Road during peak hours can reach up to 250 µg/m3, while the traffic emission on general roads near residential areas is only 50 µg/m3. Adopting Regional speed optimization can reduce the energy consumption of the road network by up to 18.8%. For roadside runners, the PM2.5 inhalation caused by night running in commercial and recreational areas is about 1.3-2.6 times that of night running in residential areas. Compared with morning or night running, the risk of respiratory disease caused by PM2.5 inhalation was about 10.3% higher than commuter running behavior. The research results provide a useful reference for energy conservation and emission reduction control strategies for different road types in cities and help existing cities to establish a traveler health evaluation system caused by traffic operation.

Transcriptomic Responses of Salmonella enterica Serovars Enteritidis in Sodium Hypochlorite.

Salmonella enterica serovars Enteritidis (S. Enteritidis) can survive extreme food processing environments including bactericidal sodium hypochlorite (NaClO) treatments generally recognized as safe. In order to reveal the molecular regulatory mechanisms underlying the phenotypes, the overall regulation of genes at the transcription level in S. Enteritidis after NaClO stimulation were investigated by RNA-sequencing. We identified 1399 differentially expressed genes (DEG) of S. Enteritidis strain CVCC 1806 following treatment in liquid culture with 100 mg/L NaClO for 20 min (915 upregulated and 484 downregulated). NaClO stress affects the transcription of genes related to a range of important biomolecular processes such as membrane damage, membrane transport function, energy metabolism, oxidative stress, DNA repair, and other important processes in Salmonella enterica. First, NaClO affects the structural stability of cell membranes, which induces the expression of a range of outer and inner membrane proteins. This may lead to changes in cell membrane permeability, accelerating the frequency of DNA conversion and contributing to the production of drug-resistant bacteria. In addition, the expression of exocytosis pump genes (emrB, yceE, ydhE, and ydhC) was able to expel NaClO from the cell, thereby increasing bacterial tolerance to NaClO. Secondly, downregulation of genes related to the Kdp-ATPase transporter system (kdpABC) and the amino acid transporter system (aroP, brnQ and livF) may to some extent reduce active transport by bacterial cells, thereby reducing their own metabolism and the entry of disinfectants. Downregulation of genes related to the tricarboxylic acid (TCA) cycle may drive bacterial cells into a viable but non-culturable (VBNC) state, resisting NaClO attack by reducing energy metabolism. In addition, significant upregulation of genes related to oxidative stress could mitigate damage caused by disinfectants by eliminating alkyl hydroperoxides, while upregulation of genes related to DNA repair could repair damage to bacterial cells caused by oxidative stress. Therefore, this study indicated that S. Enteritidis has genomic mechanisms to adapt to NaClO stress.

Evaluation of SARS-COV-2 transmission and infection in airliner cabins.

Commercial airliners have played an important role in spreading the SARS-CoV-2 virus worldwide. This study used computational fluid dynamics (CFD) to simulate the transmission of SARS-CoV-2 on a flight from London to Hanoi and another from Singapore to Hangzhou. The dispersion of droplets of different sizes generated by coughing, talking, and breathing activities in a cabin by an infected person was simulated by means of the Lagrangian method. The SARS-CoV-2 virus contained in expiratory droplets traveled with the cabin air distribution and was inhaled by other passengers. Infection was determined by counting the number of viral copies inhaled by each passenger. According to the results, our method correctly predicted 84% of the infected/uninfected cases on the first flight. The results also show that wearing masks and reducing conversation frequency between passengers could help to reduce the risk of exposure on the second flight.

A Neural Recording and Stimulation Chip with Artifact Suppression for Biomedical Devices.

This paper presents chip implementation of the integrated neural recording and stimulation system with stimulation-induced artifact suppression. The implemented chip consists of low-power neural recording circuits, stimulation circuits, and action potential detection circuits. These circuits constitute a closed-loop simultaneous neural recording and stimulation system for biomedical devices, and a proposed artifact suppression technique is used in the system. Moreover, this paper also presents the measurement and experiment results of the implemented 4-to-4 channel neural recording and stimulation chip with 0.18 µm CMOS technology. The function and efficacy of simultaneous neural recording and stimulation is validated in both in vivo and animal experiments.

Insights from label free-based proteomic analysis into inhibitory effects ε-Poly-lysine against Vibrio parahaemolyticus.

Vibrio parahaemolyticus is one of the most common pathogenic bacteria that pose a threat to human health. The purpose of this study was to investigate antibacterial mechanisms of ε-poly-lysine (ε-PL) against V. parahaemolyticus using a lable free-based proteomic analysis. The differentially expressed proteins (DEPs) were subjected to bioinformatics analysis. The results indicated that a total of 196 DEPs, including 118 up-regulated and 78 down-regulated, were identified in the ε-PL-treated cells compared with control group. Upon Go functional enrichment, 13, 9, and 8 specific Go terms in biological processes, molecular functions and cellular components were identified, respectively. KEGG pathways analysis indicated that the DEPs were mainly involved in bacterial chemotaxis, RNA transport and two-component system, which were significantly enriched (P < 0.05). In PPI analysis, Che R and Che V, both involved in bacterial chemotaxis and RNA transport pathways, are closely related to other DEPs. Therefore, the down-regulation of Che R and Che V in ε-PL-treated cells resulted in the reduction or even loss of bacterial adaptability, and they were the critical action sites of ε-PL to inactivate V. parahaemolyticus.

Rational Design and Controlled Synthesis of V-Doped Ni3 S2 /Nix Py Heterostructured Nanosheets for the Hydrogen Evolution Reaction.

Rational construction of high-efficiency and low-cost catalysts is one of the most promising ways to produce hydrogen but remains a huge challenge. Herein, interface engineering and heteroatom doping were used to synthesize V-doped sulfide/phosphide heterostructures on nickel foam (V-Ni3 S2 /Nix Py /NF) by phosphating treatment at low temperature. The incorporation of V can adjust the electronic structure of Ni3 S2 , expose more active sites, and protect the 3D structure of Ni foam from damage. Meanwhile, the heterogeneous interface formed between Ni3 S2 and Nix Py can provide abundant active sites and accelerate electron transfer. As a result, the V-Ni3 S2 /Nix Py /NF nanosheet catalyst exhibits outstanding activity in the hydrogen evolution reaction (HER) with an extremely low overpotential of 90 mV at a current density of 10 mA cm-2 and stable durability in alkaline solution, which exceeds those most of the previously reported Ni-based materials. This work shows that rational design by interfacial engineering and metal-atom incorporation has a significant influence for efficient hydrogen evolution.

(Ni,Co)Se@Ni(OH)2 heterojunction nanosheets as an efficient electrocatalyst for the hydrogen evolution reaction.

A heterogeneous structure formed by coupling two or more phases can reinforce the activity of active sites and expedite electron transfer, which is conducive to boosting its electrocatalytic activity. Herein, we designed nickel foam supported (NiCo2)Se@Ni(OH)2 (NCS@NH) heterojunction nanosheets by a two-step method. First of all, the NiCo2S4@Ni(OH)2 (NiCo2S4@NH) nanosheets coated on nickel foam were acquired via a hydrothermal method. In the selenization treatment that followed, NiCo2S4@NH was converted into NCS@NH heterogeneous nanosheets in which the selenide nanoparticles decorated on the surface of the Ni(OH)2 nanosheets formed heterojunction interfaces, and the heterogeneous structure could accelerate electron transfer, thus improving the catalytic activity. The Ni(OH)2 nanosheets can adequately contact the electrolyte and promote the decomposition of water. Meanwhile, the thickness of the Ni(OH)2 nanosheets gradually decreases with the increase of Co doping (1.5-2.5 mmol), consequently affecting the HER properties. Notably, when the amount of Co salt added is 2 mmol, NCS@NH exhibited superior HER properties (with a voltage of 253 mV at 100 mA cm-2) and excellent stability for 24 h.

Ni2 P Interlayer and Mn Doping Synergistically Expedite the Hydrogen Evolution Reaction Kinetics of Co2 P.

Transition metal phosphide is regarded as one of the most promising candidates to replace noble-metal hydrogen evolution reaction (HER) electrocatalysts. Nevertheless, the controllable design and synthesis of transition metal phosphide electrocatalysts with efficient and stable electrochemical performance are still very challenging. Herein, a novel hierarchical HER electrocatalyst consisting of three-dimensional (3D) coral-like Mn-doped Co2 P@an intermediate layer of Ni2 P generated in situ by phosphorization on Ni foam (MnCoP/NiP/NF) is reported. Notably, both the incorporation of Mn and introduction of the Ni2 P interlayer promote Co atoms to carry more electrons, which is beneficial to reduce the force of the Co-H bond and optimize the adsorption energy of hydrogen intermediate (|ΔGH* |), thereby making MnCoP/NiP/NF exhibit outstanding HER performance with onset overpotential and Tafel slope as low as 31.2 mV and 61 mV dec-1 , respectively, in 1 m KOH electrolyte.

A Framework for an Indoor Safety Management System Based on Digital Twin.

With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions.

New use for spent coffee ground as an adsorbent for tetracycline removal in water.

Spent coffee grounds (SCG-1 and SCG-2) were used to study the adsorption of tetracycline (TC) antibiotics and the effects of adsorption time, initial pH, amount of adsorbent and ionic strength were detected. The TC adsorption isotherm on SCG-1 was compared with SCG-2. The results showed that the removal efficiencies of TC (50 mg/L) of SCG-1 and SCG-2 were 83.1% and 97.2%, respectively, shake for 2 h. The probability of adsorption is high and balances in about 20 min. The estimate of parameters got for TC from the Langmuir isotherm saturated adsorption quantity and adsorption balance constant were 64.89 mg/g, 0.0557 L/mg, respectively for SCG-1 and 123.46 mg/g, 0.4735 L/mg, respectively for SCG-2. The adsorption mechanism might be a π-π interaction that occurs in the interface by hydrogen bonding and the between the TC molecular and the SCGs. At last, we found that SCG has a high adsorption size for TC.

Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar.

In the paper, the estimation of joint direction-of-departure (DOD) and direction-of-arrival (DOA) for strictly noncircular targets in multiple-input multiple-output (MIMO) radar with unknown mutual coupling is considered, and a tensor-based angle estimation method is proposed. In the proposed method, making use of the banded symmetric Toeplitz structure of the mutual coupling matrix, the influence of the unknown mutual coupling is removed in the tensor domain. Then, a special enhancement tensor is formulated to capture both the noncircularity and inherent multidimensional structure of strictly noncircular signals. After that, the higher-order singular value decomposition (HOSVD) technology is applied for estimating the tensor-based signal subspace. Finally, the direction-of-departure (DOD) and direction-of-arrival (DOA) estimation is obtained by utilizing the rotational invariance technique. Due to the use of both noncircularity and multidimensional structure of the detected signal, the algorithm in this paper has better angle estimation performance than other subspace-based algorithms. The experiment results verify that the method proposed has better angle estimation performance.

Utilizations of agricultural waste as adsorbent for the removal of contaminants: A review.

In recent years, various industrial activities have caused serious pollution to the environment. Due to the low operating costs and high flexibility, adsorption is considered as one of the most effective technologies for pollutant management. Agricultural waste has loose and porous structures, and contains functional groups such as the carboxyl group and hydroxyl group, so it can be invoked as biological adsorption material. Agricultural waste gets the advantages of a wide range of sources, low cost, and renewable. It has a good prospect for the comprehensive utilization of resources when used for environmental pollution control. This article summarized the current research status of agricultural waste in adsorbing pollutants, which pointed out the influencing factors of adsorption, expounded the adsorption mechanism of biological adsorption and introduced the related parameters of adsorption, proposed the application of adsorbents in engineering including adsorption in liquid and gas phases, at the same time it gave the future development prospect of agricultural waste as adsorbent.

Knockdown of ARL4C inhibits osteogenic differentiation of human adipose-derived stem cells through disruption of the Wnt signaling pathway.

ADP-ribosylation factor-like 4C (ARL4C) has been shown to play an important role in cholesterol secretion, microtubule dynamics, and cell morphological changes. However, its role in osteogenesis has not been explored. In this study, we found that ARL4C is downregulated during the osteogenic differentiation of human adipose derived stem cells (hASCs). Knockdown of ARL4C suppresses osteogenesis of hASCs in vitro and in vivo. We demonstrate that ARL4C knockdown likely attenuates osteogenesis of hASCs through inhibition of the Wnt signaling pathway. These results provide new insights into the mechanisms of osteogenic differentiation and provide a potential molecular target for bone tissue engineering.

Buildup of a highly twisted magnetic flux rope during a solar eruption.

The magnetic flux rope is among the most fundamental magnetic configurations in plasma. Although its presence after solar eruptions has been verified by spacecraft measurements near Earth, its formation on the Sun remains elusive, yet is critical to understanding a broad spectrum of phenomena. Here we study the dynamic formation of a magnetic flux rope during a classic two-ribbon flare. Its feet are identified unambiguously with conjugate coronal dimmings completely enclosed by irregular bright rings, which originate and expand outward from the far ends of flare ribbons. The expansion is associated with the rapid ribbon separation during the flare main phase. Counting magnetic flux through the feet and the ribbon-swept area reveals that the rope's core is more twisted than its average of four turns. It propagates to the Earth as a typical magnetic cloud possessing a similar twist profile obtained by the Grad-Shafranov reconstruction of its three dimensional structure.