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成人Ⅱ型瓜氨酸血症（CTLN2）在临床上相对少见，如果对本病缺乏足够的认识，很容易造成误诊和漏诊。本文将报道一例反复误诊为精神疾病长达4年的CTLN2基因确诊病例，系统回顾其临床特点及诊疗进展。.

High-precision powder bed fusion (PBF), together with highly complex geometries necessitate a much more scalable representation of the geometry and an efficient computational pipeline. This paper presents a new digital design and manufacturing paradigm to solve the scalability and efficiency challenges by using the concept of STL-free workflow. It seamlessly integrates implicit solid modelling for design and direct slicing for manufacturing without any intermediate steps related to STL meshes. The presented paradigm has been validated by two case studies involving complex geometries filled with multiscale triply periodic minimal surfaces (TPMS), which are fabricated by PBF with laser beam size 25 µm.

Lattice structures have been widely used in various applications of additive manufacturing due to its superior physical properties. If modeled by triangular meshes, a lattice structure with huge number of struts would consume massive memory. This hinders the use of lattice structures in large-scale applications (e.g., to design the interior structure of a solid with spatially graded material properties). To solve this issue, we propose a memory-efficient method for the modeling and slicing of adaptive lattice structures. A lattice structure is represented by a weighted graph where the edge weights store the struts' radii. When slicing the structure, its solid model is locally evaluated through convolution surfaces and in a streaming manner. As such, only limited memory is needed to generate the toolpaths of fabrication. Also, the use of convolution surfaces leads to natural blending at intersections of struts, which can avoid the stress concentration at these regions. We also present a computational framework for optimizing supporting structures and adapting lattice structures with prescribed density distributions. The presented methods have been validated by a series of case studies with large number (up to 100M) of struts to demonstrate its applicability to large-scale lattice structures.

This paper presents an efficient learning-based method to solve the inverse kinematic (IK) problem on soft robots with highly non-linear deformation. The major challenge of efficiently computing IK for such robots is due to the lack of analytical formulation for either forward or inverse kinematics. To address this challenge, we employ neural networks to learn both the mapping function of forward kinematics and also the Jacobian of this function. As a result, Jacobian-based iteration can be applied to solve the IK problem. A sim-to-real training transfer strategy is conducted to make this approach more practical. We first generate a large number of samples in a simulation environment for learning both the kinematic and the Jacobian networks of a soft robot design. Thereafter, a sim-to-real layer of differentiable neurons is employed to map the results of simulation to the physical hardware, where this sim-to-real layer can be learned from a very limited number of training samples generated on the hardware. The effectiveness of our approach has been verified on pneumatic-driven soft robots for path following and interactive positioning.

Neutron scintillator films composed of a Eu2+-doped CaF2-AlF3−6LiF (Eu:CALF) polycrystalline ceramic powder and a poly(vinylidene fluoride) (PVDF) polymer matrix have been fabricated for neutron position-sensitive detectors (n-PSDs). Scintillation light yield and neutron detection efficiency have been measured as a function of film thickness (L) in the range of L=0.08-1.0 mm. The light yields of the films are 17,000-19,000 photons per thermal neutron. Based on a photon diffusion model in disordered media, the mean-free path of scintillation photons is 1.25±0.35 mm. Light emission cone size, the Full-width-at-half-maximum (FWHM) of spatial distribution of emitted light, is expected to increase with the film thickness. There is a large difference in the longest lifetime component (~800 ns) between neutron and gamma events at $L$ ≦0.39 mm, but this difference diminishes for films thicker than 0.39 mm, making neutron-gamma-discrimination (NGD) harder for these thicker films. The NGD ratio, or neutron-gamma-efficiency ratio, has been estimated using primitive digital-signal processing and machine-learning algorithms for a 1.0-mm-thick film. It reaches (2–3) x 105 using Principle Component Analysis (PCA) and 2-feature based pulse-shape discrimination methods, but they give a low thermal-neutron detection efficiency (~10%). A conventional Nonnegative Matrix Factorization (NMF) and a Graph-regularized NMF (GNMF) algorithms generate NGD ratios of 1 x 107 and 8 x108, and thermal-neutron detection efficiencies of 15 and 37%, respectively. Potential applications of our microcomposite scintillation films include neutron scattering for materials research, and neutron imaging and spectroscopy for nondestructive testing and security.

Human vaccine is the most effective tool to prevent infectious diseases. At present, there are dozens of vaccines that can prevent dozens of infectious diseases. Vaccines for human use include vaccines that do not contain living micro-organisms (inactivated vaccines, toxoid vaccines, component vaccines), and vaccines that contain living micro-organisms (live attenuated vaccines and vector vaccines). The research and development of human vaccine includes clinical trial, process development and test method research, and the production process of human vaccine is very important for the preparation of high-quality and reliable vaccine. In this paper, the development of human vaccines, the production process and the characteristics of various human vaccines are reviewed.人用疫苗是人类预防传染性疾病最有效的工具。目前已经有数十种人用疫苗可以预防数十种传染病。人用疫苗包括不含活微生物体的疫苗（灭活疫苗、类毒素疫苗、组分疫苗）、含活微生物体的疫苗（减毒活疫苗和载体疫苗）。人用疫苗的研发包括临床研究、工艺开发和检定方法研究，其中人用疫苗生产工艺对于制备优质、可靠的疫苗至关重要。本文就人用疫苗发展概况、人用疫苗生产工艺及各类人用疫苗的特点进行综述。.

To develop a quantum-dot-based multiplexed imaging system for the simultaneous monitoring of Hsf- 1/Hsp70 after heat shock, and to evaluate the effects of combined thermotherapy and leucine deprivation therapy on Hsf-1 inactivation. SCC-25 cells were leucine starved for 0, 1, 2, 3 or 4 days following which the cells underwent heat shock at 42°C for 30 min. At 6 h after heat shock, Hsf-1 activation and translocation to the nucleus was observed in cells that were leucine starved for 0, 1 and 2 days, and the synthesis of Hsp70 and Hsf-1 reached their maximum values and had a tendency to gather in the nucleus. However, in cells that were leucine starved for 3 and 4 days, Hsf-1 activity and Hsp70 synthesis level was dramatically decreased. Dietary restriction of leucine for at least three days could result in the inactivation of Hsf-1, leading to a reduction in Hsp70 synthesis. The combination of thermotherapy and short-term leucine deprivation therapy may become effective approach for the treatment of oral tumors.

OBJECTIVE: To explore the effect of multi-disciplinary team (MDT) in general hospitals on severe trauma patients. METHODS: This study reviewed the treatment of patients with severe trauma in trauma center of Peking University People's Hospital from March 2017 to April 2019. The baseline information: the patients' gender, age, injury mechanism, etc.; the start indicators: the Glasgow coma scale (GCS), trauma index (TI), injury severity score (ISS); the start related indicators: time for activation, time for MDT to arrive, time for CT scan, time for damage control surgery; patient treatment and prognosis: ICU (intensive care unit) length of stay, number of cured and discharged patients, number of dead cases, number of patients transferred to rehabilitation hospital, were all analyzed. It discussed the composition of MDT, the initiation scheme, the indicators of initiation of MDT for severe trauma, and analyzed the correlation between the application of MDT and the prognosis of patients. RESULTS: From March 2017 to April 2019, 112 trauma patients were treated by MDT in Peking University People's Hospital. There were 69 males and 43 females. The minimum age was 15 years, the maximum age was 89 years, most of them were 36-55 years old. The main injury mechanism was traffic accident injury. The GCS, TI, ISS were 13.0±2.9, 13.0±2.8, and 21.5±11.9, respectively. It took 3.7±0.8 minutes to start the call, 6.1±0.9 minutes for MDT personnel to arrive at the emergency rescue area, 23.8±3.0 minutes for fast CT and 92.6±15.4 minutes for injury control operation. All the hospitalized patients were treated effectively. ICU (Intensive care unit) hospitalization time was 12.6±6.7 days. 55 discharged patients were cured, 5 died (1 died of hemorrhagic shock, 4 died of severe brain injury) and 52 transferred to rehabilitation hospital. CONCLUSION: The treatment of severe trauma patients by MDT in trauma center of general hospitals can greatly improve the ability and level of treatment of severe trauma patients, make up for the lack of treatment of severe trauma especially multiple trauma patients in large general hospitals, and improve the treatment effect of severe trauma patients. It provides a reference model for large general hospitals to treat patients with severe trauma and multiple trauma and for the construction of trauma centers.

To analyze the sequences of the cytochrome C oxidase subunit I (The sequences of theTransversion mutation was the predominant type of mutation in the

This paper presents an 8 mJ 355 nm 1 kHz burst-mode picosecond laser system, where the energy of each subpulse in the burst mode is 2 mJ. Under optimal operational conditions, a noncritical phase-matched LiB3O5 (LBO) crystal and a type-II angle- and phase-matched LBO crystal are used as the second- and third-harmonic generation crystals, respectively. The largest conversion efficiency from 1064 nm to 355 nm was 38%, and the highest output power at 355 nm was 8 W; further, the beam quality was measured as M x 2 = 2.46 and M y 2 = 2.84 .

Scintillation properties of Eu 2 + -doped CaF2-AlF3-6LiF (Eu:CALF) polycrystalline ceramic thermal-neutron scintillators as a function of AlF3 concentration have been studied. The emission band peaked at a wavelength of 425–431 nm is due to the presence of Eu:CaF2 micro-crystallites. The highest light output from these samples is approximately 20,000 photons per thermal neutron, which is 3 times that of a GS20 6Li-glass scintillator. The pulse-decay lifetime and light output vs. AlF3 concentration may be understood using a radiation trapping model and the formation of a Li3AlF6 phase. At lower AlF3 concentration, Al3+ ions in Eu:CaF2 passivate the hole-trapping defects and enhance the light output; whereas at higher AlF3 concentration, Al3+ ions lead to the formation of electron trapping centers in Eu:CaF2 and the Li3AlF6 phase is formed, which reduces the light output. A neutron–gamma-discrimination (NGD) ratio of 9 × 1 0 8 was obtained from Principal Component Analysis (PCA) of digital waveforms, while Fisher Linear Discriminant Analysis (FLDA) can completely separate the thermal neutrons from 60Co gamma rays within the limit of gamma event statistics used in this work. Our results suggest that Eu:CALF scintillators can potentially replace the GS20 scintillator used for thermal and cold neutron detection systems.

Material Extrusion (MEX) systems with dual-material capability can unlock interesting applications where flexible and rigid materials are combined. When chemically incompatible materials are concerned the adhesion between the two might be insufficient. Therefore researchers typically rely on dovetail type interlocking geometries in order to affix two bodies mechanically. However, dovetail type interlocking introduces extrusion discontinuities and relies on the material’s resistance to deformation, which is difficult to model. We propose a simple and effective 3D lattice consisting of interlaced horizontal beams in vertically alternating directions which interlock topologically: the interlaced topologically interlocking lattice (ITIL). It ensures continuous extrusion and ensures an interlock even for highly flexible materials. We develop analytical models for optimizing the ultimate tensile strength of the ITIL lattice in two different orientations relative to the interface: straight and diagonal. The analytical models are applied to polypropylene (PP) and polylactic acid (PLA) and verified by finite elements method (FEM) simulations and physical tensile experiments. In the diagonal orientation ITIL can obtain 82% of the theoretical upper bound of 8 . 6 MPa . ITIL seems to perform comparably to dovetail interlocking designs, while it lends itself to application to non-vertical interfaces. Optimizing the lattice for non-vertical interfaces, however, remains future work.

We present a field-based method of toolpath generation for 3D printing continuous fibre reinforced thermoplastic composites. Our method employs the strong anisotropic material property of continuous fibres by generating toolpaths along the directions of tensile stresses in the critical regions. Moreover, the density of toolpath distribution is controlled in an adaptive way proportionally to the values of stresses. Specifically, a vector field is generated from the stress tensors under given loads and processed to have better compatibility between neighboring vectors. An optimal scalar field is computed later by making its gradients approximate the vector field. After that, isocurves of the scalar field are extracted to generate the toolpaths for continuous fibre reinforcement, which are also integrated with the boundary conformal toolpaths in user selected regions. The performance of our method has been verified on a variety of models in different loading conditions. Experimental tests are conducted on specimens by 3D printing continuous carbon fibres (CCF) in a polylactic acid (PLA) matrix. Compared to reinforcement by load-independent toolpaths, the specimens fabricated by our method show up to 71.4% improvement on the mechanical strength in physical tests when using the same (or even slightly smaller) amount of continuous fibres.

Self-reconfigurable modular robots (SRMRs) are a special type of robots that can change their shapes and functions according to different tasks and environments. Such a robot is usually constructed using connected modules, each of which can encapsulate a simple function independently and also communicate with each other. Complex tasks can be completed by those connected modules collaboratively. In recent years, SRMRs have attracted considerable attention from both the academia and industry because of their versatility and flexibility. The path planning problem for the transformation of an SRMR is an important but not a well-solved problem, which can be considered as finding an optimal path in the configuration space where every point represents a feasible configuration of the SRMR. To provide a systematic overview of this research, we review the existing approaches considering five different aspects of SRMRs, including the type of motion on a single module, hardware for different motions, connectivity between modules, representation of a configuration space, and path planning algorithms. Aiming at motivating more research into SRMRs, the problems in existing approaches are analyzed and challenges in future work are summarized at the end of this paper.

Here the transcriptome and differential gene expression in the adult brain and gonads of the Chinese sea perch Lateolabrax maculatus were reported. A total of 78 256 909 clean reads were generated from the adult brain, ovary and testis by using the Illumina HiSeq2000 platform and assembled into 274 909 contigs. A total of 31 683 unigenes were annotated based on sequence similarity and 20 702 unigenes were found to exhibit 8237 gene ontology terms and 3888 signal pathways. Transcripts of 26 623 unigenes were present in all of the tissues, whereas pairwise comparisons revealed that 671/367, 496/315 and 1668/580 unigenes were up–down regulated by at least two-fold between the brain and ovary, ovary and testis and brain and testis, respectively. Homology search led to the identification of reproduction-associated genes of the brain-gonad axis, including those involved in sex differentiation and maintenance. The data provided an integrated and comprehensive transcriptome resource for L. maculatus, which could be used for further research on hypothalamus-pituitary-gonad axis gene function, reproduction regulation and sex-biased gene expression.

3 He gas based neutron Linear-Position-Sensitive Detectors (LPSDs) have been used for many neutron scattering instruments. Traditional Pulse-height Analysis (PHA) for Neutron-Gamma Discrimination (NGD) resulted in the neutron-gamma efficiency ratio (NGD ratio) on the order of 10 5 –10 6 . The NGD ratios of 3 He detectors need to be improved for even better scientific results from neutron scattering. Digital Signal Processing (DSP) analyses of waveforms were proposed for obtaining better NGD ratios, based on features extracted from rise-time, pulse amplitude, charge integration, a simplified Wiener filter, and the cross-correlation between individual and template waveforms of neutron and gamma events. Fisher Linear Discriminant Analysis (FLDA) and three Multivariate Analyses (MVAs) of the features were performed. The NGD ratios are improved by about 10 2 –10 3 times compared with the traditional PHA method. Our results indicate the NGD capabilities of 3 He tube detectors can be significantly improved with subspace-learning based methods, which may result in a reduced data-collection time and better data quality for further data reduction.

The situation of prevention of non-neonatal tetanus in China is severe. Strengthening the active immunization with tetanus toxoid vaccine (TTCV) is the key to prevent the non-neonatal tetanus. Through the detection of tetanus antibody (TAB), the immune status of individual can be determined, so as to implement the active immunization of TTCV correctly. The research on TAB detection technology is stagnant in aboard, but still in a development process in China since there is a realistic demand for TAB detection. This review collects relatively limited data of TAB detection technology in China, and summarizes the techniques such as mice toxin neutralization test (MTNT), indirect hemagglutination assay (IHA), double agar gel immune diffusion test (Rubin method), enzyme-linked immunosorbent assay (ELISA) and colloidal gold (CG), in order to provide a comprehensive basis for domestic TAB detection. The TAB detection technology in China has not yet achieved international recognition due to the lack of comparative study of domestic and international institutions and reference reagents. The special domestic situation of tetanus prevention makes the research of TAB detection technology have a certain practical significance, and rapid detection reagents such as ELISA and CG method have a certain application value in China.我国非新生儿破伤风防控形势严峻，强化含破伤风类毒素疫苗（TTCV）的主动免疫是非新生儿破伤风防控的关键。通过破伤风抗体（TAB）检测可以明确个体的TTCV免疫状态，从而正确实施TTCV主动免疫。国外对TAB检测技术的研究呈现停滞状态，而国内有现实的TAB检测需求，破伤风抗体检测技术仍然处于动态发展过程中。本文收集国内也相对有限的TAB检测技术资料，对国内应用和发展的小鼠毒素中和试验（MTNT）、间接血凝法（IHA）、凝胶双向扩散试验或Rubin法、酶联免疫吸附试验（ELISA）、胶体金（CG）法等TAB检测技术进行总结，以期为国内TAB检测提供较全面的依据。由于缺乏国内TAB检测和国际机构、参考试剂的对比研究，我国的TAB检测技术尚未实现国际化认可。我国特殊的破伤风防控形势使得TAB检测技术研究在国内有一定的现实意义，ELISA、CG法等快速检测试剂具备一定的应用价值。.

Multi-directional 3D printing has the capability of decreasing or eliminating the need for support structures. Recent work proposed a beam-guided search algorithm to find an optimized sequence of plane-clipping, which gives volume decomposition of a given 3D model. Different printing directions are employed in different regions to fabricate a model with tremendously less support (or even no support in many cases).To obtain optimized decomposition, a large beam width needs to be used in the search algorithm, leading to a very time-consuming computation. In this paper, we propose a learning framework that can accelerate the beam-guided search by using a smaller number of the original beam width to obtain results with similar quality. Specifically, we use the results of beam-guided search with large beam width to train a scoring function for candidate clipping planes based on six newly proposed feature metrics. With the help of these feature metrics, both the current and the sequence-dependent information are captured by the neural network to score candidates of clipping. As a result, we can achieve around 3x computational speed. We test and demonstrate our accelerated decomposition on a large dataset of models for 3D printing., Comment: 8 pages, accepted by IEEE Robotics and Automation Letters 2020

We present a method for effectively planning the motion trajectory of robots in manufacturing tasks, the tool paths of which are usually complex and have a large number of discrete time constraints as waypoints. Kinematic redundancy also exists in these robotic systems. The jerk of motion is optimized in our trajectory planning method at the meanwhile of fabrication process to improve the quality of fabrication. Our method is based on a sampling strategy and consists of two major parts. After determining an initial path by graph search, a greedy algorithm is adopted to optimize a path by locally applying adaptive filers in the regions with large jerks. The filtered result is obtained by numerical optimization. In order to achieve efficient computation, an adaptive sampling method is developed for learning a collision-indication function that is represented as a support-vector machine. Applications in robot-Assisted 3-D printing are given in this article to demonstrate the functionality of our approach. Note to Practitioners-In robot-Assisted manufacturing applications, robotic arms are employed to realize the motion of workpieces (or machining tools) specified as a sequence of waypoints with the positions of tool tip and the tool orientations constrained. The required degree of freedom (DOF) is often less than the robotic hardware system (e.g., a robotic arm has six-DOF). Specifically, rotations of the workpiece around the axis of a tool can be arbitrary (see Fig. 1 for an example). By using this redundancy, i.e., there are many possible poses of a robotic arm to realize a given waypoint, the trajectory of robots can be optimized to consider the performance of motion in velocity, acceleration, and jerk in the joint space. In addition, when fabricating complex models, each tool path can have a large amount of waypoints. It is crucial for a motion planning algorithm to compute a smooth and collision-free trajectory of robot to improve the fabrication quality. The time taken by the planning algorithm should not significantly lengthen the total manufacturing time; ideally, it would remain hidden as computing motions for a layer can be done while the previous layer is printing. The method presented in this article provides an efficient framework to tackle this problem. The framework has been well tested on our robot-Assisted additive manufacturing system to demonstrate its effectiveness and can be generally applied to other robot-Assisted manufacturing systems.

Ovarian cancer is the most common fatal gynecologic malignancy in females all over the world. Recently, long noncoding RNAs (lncRNAs) have been reported to exert pivotal functions in tumorigenesis. In this research, lncRNA SNHG14 was studied to identify its role in the metastasis of ovarian cancer.SNHG14 expression was detected by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) in ovarian cancer specimens. Functional assays including wound healing assay, transwell assay, and Matrigel assay were performed to detect the effect of SNHG14 on the migration and invasion of ovarian cancer cells. In addition, the underlying mechanism was further explored through qRT-PCR and Western blot assay.SNHG14 level was dramatically higher in ovarian cancer specimens. Moreover, cell migration and invasion were significantly attenuated via the inhibition of SNHG14, while enhanced via the SNHG14 overexpression. Besides, the expression of DGCR8 mRNA and protein was markedly downregulated after the knockdown of SNHG14, while upregulated after SNHG14 overexpression. Furthermore, the expression level of DGCR8 was increased in cancer tissues and positively related to the expression of SNHG14 in ovarian cancer tissues.In summary, SNHG14 could enhance cell migration and invasion via upregulating DGCR8 in ovarian cancer.

Post-traumatic tetanus is the main type of non-neonatal tetanus. To reduce the incidence and mortality rateof tetanus and guide the primary medical institutions to prevent and control tetanus after trauma, the National Immunization Planning Technical Working Group of the Chinese Center for Disease Control and Prevention has compiled this document in the reference with Position Paper by World Health Organization, and the latest research progress both at home and abroad. The guidelines focus on the basic procedures for the prevention and treatment of post-traumatic tetanus, the application of tetanus vaccines and immune preparation, and pre-exposure immunization in high-risk populations of trauma.外伤后破伤风是非新生儿破伤风的主要类型。为指导基层医疗机构做好外伤后破伤风的预防控制工作，尤其是外伤后的预防处置，降低破伤风发病率及病死率，中国疾病预防控制中心国家免疫规划技术工作组参考《2017年世界卫生组织破伤风立场文件》，以及国内外最新研究进展，制定了本指南。本指南主要介绍了外伤后破伤风预防处置的基本流程，破伤风疫苗和被动免疫制剂的使用方法及潜在外伤高危人群的暴露前免疫。.

Tetanus consists of neonatal tetanus and non-neonatal tetanus. Although neonatal tetanus in China has been eliminated since 2012, non-neonatal tetanus remains a serious public health problem. Non-neonatal tetanus is a potential fatal disease, and the mortality rate of severe cases is almost 100% in the absence of medical intervention. Even with vigorous treatment, the mortality rate is still 30~50% globally. In order to standardize the diagnosis and treatment of non-neonatal tetanus in China, this specification is hereby formulated. This standard includes etiology, epidemiology, pathogenesis, clinical manifestations, laboratory tests, diagnosis, differential diagnosis, classification, grading and treatment of non-neonatal tetanus.破伤风分为新生儿破伤风和非新生儿破伤风。我国已于2012年消除了新生儿破伤风，但非新生儿破伤风仍是一个严重的公共卫生问题。非新生儿破伤风重症患者在无医疗干预的情况下，病死率接近100%，即使经过积极的综合治疗，全球范围病死率仍为30%~50%，是一种极为严重的潜在致命性疾病。为规范我国非新生儿破伤风诊疗行为，提高医疗质量，保障医疗安全，特制定本规范。本规范包括了非新生儿破伤风的病原学、流行病学、发病机制、临床表现及实验室检查、诊断、鉴别诊断、分级、治疗等方面内容。.

Neonatal tetanus has been basically eliminated in China, but the incidence of non-neonatal tetanus is still high. Tetanus after trauma is the main type of non-neonatal tetanus. The correct application of tetanus toxoid containing vaccine (TTCV) has been neglected in the prevention of tetanus after trauma in China. On May 9, 2019, National Advisory Committee of Experts on Immunization Planning (NIAC) reviewed and approved the first guidelines for the use of TTCV and passive immune preparation after trauma, which clarified the basic process of treatment of tetanus after trauma, as well as the pointer to the use of TTCV and passive immune preparation after trauma. The main measure to prevent tetanus after trauma is to use TTCV for active immunization, and to use passive immune preparation for those without TTCV immune history. Through the construction of the top-down control and prevention system of tetanus, the change of the concept of tetanus immunoprophylaxis of medical staff is promoted. Active immunization is the main measure, but passive immunization is an added measure for the prevention of tetanus after trauma, which is of great significance to reverse the mistake of prevention of tetanus in China.我国已基本消除新生儿破伤风，但是非新生儿破伤风发病率仍然较高。外伤后破伤风是非新生儿破伤风的主要类型。我国在外伤后破伤风预防中忽视了含破伤风类毒素疫苗（TTCV）的正确应用。国家免疫规划专家咨询委员会于2019年5月9日审议通过我国首部《外伤后破伤风疫苗和被动免疫制剂使用指南》，明确了外伤后破伤风预防处置的基本流程，以及外伤后破伤风疫苗和被动免疫制剂的使用指针。外伤后破伤风预防的主要措施是使用TTCV进行主动免疫，并针对无TTCV免疫史者辅以被动免疫制剂。通过由上而下的破伤风防控体系建设，促进医疗机构工作人员破伤风免疫预防观念的转变。贯彻主动免疫为主、被动免疫为辅的免疫预防策略，对扭转我国破伤风防控误区具有重要意义。.

Alternative neutron detectors are actively being researched to replace 3He gas detectors for neutron scattering and homeland security. Neutron scintillators for this purpose must have high light output, short decay time, low sensitivity to gamma-rays, and possibly be non-hygroscopic. Gd-containing oxide scintillators are excellent at detecting gamma-rays, but their thermal-neutron detectability has not been proven yet, because of similar pulse-shapes and pulse-heights generated under thermal neutrons and gamma irradiation. Here we show that a non-negative matrix factorization (NMF) algorithm for digital signal processing greatly improves neutron-gamma discrimination ratio (the ratio of neutron and gamma detection efficiencies) of a Gd-containing scintillator, Ce:Gd 3 Al 2 Ga 3 O 12 (GAGG). In the case of Ce:GAGG as a gamma detector, better discrimination against ambient background events was observed compared to results from a traditional pulse-height method. It was also found that the secondary integration area (S 2 ) of a waveform in the time window of 0-50 ns is an energy measure of gamma-rays. Therefore, Gd-containing scintillators are potentially applicable in not only neutron detection but also in gamma detection with higher signal-to-noise ratio.

In this review, we introduce various magnetic biosensors that have been developed. We first explain the advantages of magnetic biosensing and their general operating principles as well as the biolabeling technique for magnetic nanoparticles. Next, we focus on magnetoresistive biosensing technologies because magnetoresistive biosensors will be an essential development direction due to the demand for miniaturization and portable lab-on-a-chip devices. The magnetoresistive effects employed in biosensing include anisotropic magnetoresistance, giant magnetoresistance and tunneling magnetoresistance. In addition to magnetoresistive sensors, the advantages and disadvantages of some nonmagnetoresistive magnetic biosensors are discussed and compared. Finally, we introduce research on integrating magnetic biosensors into the microfluidic laboratory-on-a-chip systems and comment on future development trends.

For grasping (unknown) objects, soft pneumatic actuators are primarily designed to bend towards a specific direction. Due to the flexibility of material and structure, soft actuators are also prone to out-of-plane deformations including twisting and sidewards bending, especially if the loading is asymmetric. In this paper, we demonstrate the negative effects of out-of-plane deformation on grasping. A structural design is proposed to reduce this type of deformation and thus improve grasping stability. Comparisons are first performed on soft pneumatic actuators with the same bending stiffness but different resistances to out-of-plane deformation, which is realized by changing the cross-section of the inextensible layer. To reduce out-of-plane deformation, a stiffening structure inspired by spatial flexures is integrated into the soft actuator. The integrated design is 3D printed using a single material. Physical experiments have been conducted to verify the improved grasping stability.

Purpose In the newly released ASTM standard specification for additive manufacturing file (AMF) format – version 1.1 – Hermite curve-based interpolation is used to refine input triangles to generate denser mesh with smoother geometry. This paper aims to study the problems of constructing smooth geometry based on Hermite interpolation on curves and proposes a solution to overcome these problems. Design/methodology/approach A formulation using triangular Bézier patch is proposed to generate smooth geometry from input polygonal models. Different configurations on the boundary curves in the formulation are analyzed to further enrich this formulation. Findings The study shows that the formulation given in the AMF format (version 1.1) can lead to the problems of inconsistent normals and undefined end-tangents. Research limitations/implications The scheme has requirements on the input normals of a model, only C0 interpolation can be generated on those cases with less-proper input. Originality/value To overcome the problems of smooth geometry generation in the AMF format, the authors propose an enriched scheme for computing smooth geometry by using triangular Bézier patch. For the configurations with less-proper input, the authors adopt the Boolean sum and the Nielson’s point-opposite edge interpolation for triangular Coons patch to generate the smooth geometry as a C0 interpolant.