Significance of fostering the mental health of patients with diabetes through critical time intervention

BACKGROUND Critical time intervention(CTI)is an evidence-based model of practice that is time-limited and aims to provide support for most susceptible individuals during a transition period.AIM To examine the significance of fostering the mental health of diabetes patients through CTI using the scoping review methodology.METHODS As part of the scoping review process,we followed the guidelines established by the Joanna Briggs Institute.The search databases were Google Scholar,PubMed,Scopus,PsycINFO,Reference Citation Analysis(https://www.referencecitation-analysis.com/),and Cochrane Library.From these databases,77 articles were retrieved with the aid of carefully selected search terms.However,19 studies were selected after two reviewers appraised the full texts to ensure that they are all eligible for inclusion,while 54 papers were excluded.RESULTS This study revealed that diabetic patients who had experienced homelessness were at higher risk of being diagnosed with mental illness and that social support services are impactful in the management of the comorbidity of diabetes and mental health problems.In addition,this review reveals that CTI is impactful in enhancing the mental health of homeless patients during the transitional period from the hospital through social support services.CONCLUSION CTI is a promising intervention for alleviating mental health symptoms in homeless patients.Empirical studies are needed across the globe,involving both hospitalized and community-based patients,to determine how clinically effectively CTI is in managing the mental health of diabetics.

Critical Time and Temper Embrittlement Isotherms

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Critical dwell time of switched linear systems

In this paper, we consider the relation between the switching dwell time and the stabilization of switched linear control systems. First of all, a concept of critical dwell time is given for switched linear systems without control inputs, and the critical dwell time is taken as an arbitrary given positive constant for a switched linear control systems with controllable switching models. Secondly, when a switched linear system has many stabilizable switching models, the problem of stabilization of the overall system is considered. An on-line feedback control is designed such that the overall system is asymptotically stabilizable under switching laws which depend only on those of uncontrollable subsystems of the switching models. Finally, when a switched system is partially controllable （While some switching models are probably unstabilizable）, an on-line feedback control and a cyclic switching strategy are designed such that the overall system is asymptotically stabilizable if all switching models of this uncontrollable subsystems are asymptotically stable. In addition, algorithms for designing switching laws and controls are presented.

Theoretical and experimental studies on critical time delay of multi-DOF real-time hybrid simulation

This paper aims to investigate the critical stability of a multi-degree-of-freedom(multi-DOF)real-time hybrid simulation(RTHS).First,the critical time-delay analysis models are developed using the continuous-and discrete-time root locus(RL)techniques,respectively.A bilinear transform is introduced into the first-order Padéapproximation while conducting the discrete RL analysis.Based on this technique,the time delay can be explicitly used as the gain factor and thus the instability mechanism of the multi-DOF RTHS system can be analyzed.Subsequently,the critical time delays calculated by the continuous-and discrete-time RL techniques,respectively,are compared for a 2-DOF RTHS system.It is shown that assuming the RTHS system to be a continuous-time system will result in overestimating the critical time delay.Finally,theoretically calculated critical delays are demonstrated and validated by numerical simulation and a set of RTHS experiments.Parametric analysis provides a glimpse of the effects of time step,frequency and damping ratio in a performing partitioning scheme.The constructed analysis model proves to be useful for evaluating the critical time delay to predict stability and performance,therefore facilitating successful RTHS.

Characteristic Duties of Critical Care Nurses in Japan: A Time-Study Comparison with Neurology Ward Nurses

Background: The importance of the acute phase in hospitals has been increasing. While administering high-level critical care, the working styles of critical care nurses, the types of clinical care they provide, and the way in which they prioritize tasks, remain unclear. Aim of this study was to elucidate the characteristic duties of critical care nurses through a comparison with neurological ward nurses. Methods: We recorded the duties of critical care nurses and neurology ward nurses (10 each) using a time-study design. Duties were measured separately by action, classified using a classification table, and differences between the two groups were compared. Results: No differences in the number of actions were observed between the two groups. The top five items that required the most time for critical care nurses were, “Movement”, “Administration and oxygen management”, “Handover process/Doctor’s rounds”, “Preparation for entry and exit management of patients”, and “Bed bathing (for bedbound patients)”. Of the 195 items, significant differences between the groups were noted for 34 items, while the duties of critical care nurses were best characterized by bed bathing (for bedbound patients), changing position, confirmation of infusion tubes, handover process/doctor’s rounds, and preparation for entry and exit management of patients. Conclusion: A characteristic of critical care nurses is that they must remain near patients and perform tasks while moving only a short distance. Moreover, the promotion of tasks while communicating with physicians is presumed to play a role in the promotion of team medicine. Furthermore, much time was spent caring for patients in bed, and a lot of time was devoted to the preparation and finalizing of treatments and care, suggesting the possibility that more time can be spent on caring for patients through a revision of duties.

P-V Criticality of a Modified BTZ Black Hole in 2 + 1 Dimensional Intrinsic Time Quantum Gravity

Intrinsic time quantum geometrodynamics is a formulation of quantum gravity naturally adapted to 3 + 1 dimensions. In this paper we construct its analogous 2 + 1 formulation, taking note of the mathematical structures which are preserved. We apply the resulting construction to convert the BTZ black hole metric to ITQG framework. We then modify the BTZ black hole in order to investigate the existence of the P-V criticality in ITQG theory.

Evidence of Invariance of Time Scale at Critical Point in Ising Meanfield Equilibrium Equation of State

我们解决 Ising 铁磁物质的状态的平衡 meanfield 方程(从 BraggWilliams 获得了理论) 由 NewtonRaphson 方法。重复的数字要求了得到一个会聚的答案(在指定精确性以内) 在任何特别温度，平衡， magnetisation 被观察尽最大努力分叉温度接近批评价值的法律时尚。这作为批评慢下来被识别。代表也被估计。代表的这值与从分析答案获得了那相比。除这以外，数字结果也与展出同意的令人满意的度的一些试验性的结果相比。它从这研究被观察在批评的点的时间规模的不变性的信息在 Ising 铁磁物质的状态的 meanfield 平衡方程是在场的。

Short—Time Critical Behavior Affected by Weakly Long—Range Interactions

The theoretic renormalization group approach is applied to the study of short-time critical behavior of the Ginzburg-Landau model with weakly long-range interactions pσsps-p. The system initially at a high temperature is firstly quenched to the critical temperature Tc and then released to an evolution with a model A dynamics. A double expansion in ∈ = 2σ-d and α = 1 -σ/2 with α of order ∈ is employed, where d is the spatial dimension. The asymptotic scaling laws and the initial slip exponents θ' and θ for the order parameter and the response function respectively are calculated to the second order in ∈ for σ close to 2.

Cyber Resilience through Real-Time Threat Analysis in Information Security

This paper examines how cybersecurity is developing and how it relates to more conventional information security. Although information security and cyber security are sometimes used synonymously, this study contends that they are not the same. The concept of cyber security is explored, which goes beyond protecting information resources to include a wider variety of assets, including people [1]. Protecting information assets is the main goal of traditional information security, with consideration to the human element and how people fit into the security process. On the other hand, cyber security adds a new level of complexity, as people might unintentionally contribute to or become targets of cyberattacks. This aspect presents moral questions since it is becoming more widely accepted that society has a duty to protect weaker members of society, including children [1]. The study emphasizes how important cyber security is on a larger scale, with many countries creating plans and laws to counteract cyberattacks. Nevertheless, a lot of these sources frequently neglect to define the differences or the relationship between information security and cyber security [1]. The paper focus on differentiating between cybersecurity and information security on a larger scale. The study also highlights other areas of cybersecurity which includes defending people, social norms, and vital infrastructure from threats that arise from online in addition to information and technology protection. It contends that ethical issues and the human factor are becoming more and more important in protecting assets in the digital age, and that cyber security is a paradigm shift in this regard [1].

Estimating Critical Clearing Time of Grid Faults Using DA of State-Reduction Model of Power Systems

This paper proposes a critical clearing time (CCT) estimation method by the domain of attraction (DA) of a state-reduction model of power systems using sum of squares (SOS) programming. By exploiting the property of the Jacobian matrix and the structure of the boundary of the DA, it is found the DA of the state-reduction model and that of the full model of a power system are topological isomorphism. There are one-to-one correspondence relationships between the number of equilibrium points, the type of equilibrium points, and solutions of the two system models. Based on these findings, an expanding interior algorithm is proposed with SOS programming to estimate the DA of the state-reduction model. State trajectories of the full model can be transformed to those of the state-reduction model by orthogonal or equiradius projection. In this way, CCT of a grid fault is estimated with the DA of the state-reduction model. The calculational burden of SOS programming in the DA estimation using the state-reduction model is rather small compared with using the full model. Simulation results show the proposed expanding interior algorithm is able to provide a tight estimation of DA of power systems with higher accuracy and lower time costs.

Minimum critical thickness of dike for ore-bearing fluid injection:A new approach applied to the Shihu gold deposit,Hebei Province,North China

According to the metallogenic theory by transmagmatic fluid （TMF）, one magmatic intrusion is a channel of ore-bearing fluids, but not their source. Therefore, it is possible to use TMF＇s ability for injection into and for escaping t^om the magmatic intrusion to evaluate its ore-forming potential. As the ore-bearing fluids cannot effectively inject into the magmatic intrusion when the magma fully crystal- lized, the cooling time and rates viscosity varied can be used to estimate the minimum critical thickness of the intrusion. One dimensional heat transfer model is used to determine the cooling time for three representative dikes of different composition （granite porphyry, quartz diorite and diabase） in the Shihu gold deposit. It also estimated the rates viscosity varied in these time interval. We took the thickness of dike at the intersection of the cooling time -- thickness curve and the rates viscosity varied versus thick- ness curve as the minimum critical thickness. For the ore-bearing fluids effectively injecting into the magma, the minimum critical thicknesses for the three representative dikes are 33.45 m for granite porphyry, 8.22 m for quartz diorite and 1.02 m for diabase, indicating that ore-bearing dikes must be thicker than each value. These results are consistent with the occurrence of ore bodies, and thus they could be applied in practice. Based on the statistical relationship between the length and the width of dikes, these critical thicknesses are used to compute critical areas： 0.0003--0.0016 km2 for diabase, 0.014--0.068 km2 for quartz diorite and 0.011-0.034 km2 for granite porphyry. This implies that ore- bearing minor intrusions have varied areas corresponding to their composition. The numerical simulation has provided the theoretical threshold of exposed thickness and area of the ore-bearing intrusion. These values can be used to determine the ore-forming potentials of dikes.

The Character of Shear-wave Splitting in Marble in the Critical State of Rupture

This paper mainly observed and analyzed the character of shear-wave splitting in rock specimens while they were in the critical state of rupture. The rock specimens for study are made of Laizhou marble from Shandong, China. A series of records were obtained from two rock specimens when they were in the critical state of rupture. The result shows that, in the critical state just before rock rupture, there may be the phenomenon of rise and fall in the time delay of shear-wave splitting, even though the load was kept constant. That is to say, the time delay of shear-wave splitting may have a falling process before rock rupture.

Modified B-ultrasound method for measurement of antral section only to assess gastric function and guide enteral nutrition in critically ill patients

AIM To establish a modified B-ultrasound method of measuring the antral section only to assess gastric motility in healthy people,and evaluate its application in guiding enteral nutrition(EN) in critically ill patients. METHODS First,30 healthy volunteers were selected. The modified B-ultrasound method and the traditional B-ultrasound method were applied to assess gastric function. The correlation of indices of gastric function between the two groups was analyzed statistically. In addition,64 critically ill patients were selected,and the modified B-ultrasound method and the gastric juice withdrawal method were applied to guide the implementation of EN. Daily caloric value,the time required to achieve complete EN,ICU stay,hospitalization time,and serum prealbumin and albumin levels were recorded and compared between the two groups. Kaplan-Meier survival curve was used to compare the complications of EN between the two groups. RESULTS In healthy subjects,there was a good correlation among gastric emptying time,antral contraction frequency andantral motility index between the two groups(r = 0.57,0.61 and 0.54,respectively). The study on critically ill patients also revealed that a better effect of EN was achieved in the modified B-ultrasound method group,in which patients had shorter ICU stay and hospitalization time and higher levels of serum prealbumin and albumin. The Kaplan-Meier survival analysis revealed that the improved B-ultrasound method was associated with significantly fewer EN complications(P = 0.031).CONCLUSION The modified B-ultrasound method can provide a good real-time assessment of gastric function and has a better effect than the traditional method in guiding EN in critically ill patients.

Confidentiality-aware message scheduling for security-critical wireless networks

Without considering security, existing message scheduling mechanisms may expose critical messages to malicious threats like confidentiality attacks. Incorporating confidentiality improvement into message scheduling, this paper investigates the problem of scheduling aperiodc messages with time-critical and security-critical requirements. A risk-based security profit model is built to quantify the security quality of messages; and a dynamic programming based approximation algorithm is proposed to schedule aperiodic messages with guaranteed security performance. Experimental results illustrate the efficiency and effectiveness of the proposed algorithm.

Application of the asynchronous advantage actor–critic machine learning algorithm to real-time accelerator tuning

This paper describes a real-time beam tuning method with an improved asynchronous advantage actor–critic(A3C)algorithm for accelerator systems.The operating parameters of devices are usually inconsistent with the predictions of physical designs because of errors in mechanical matching and installation.Therefore,parameter optimization methods such as pointwise scanning,evolutionary algorithms(EAs),and robust conjugate direction search are widely used in beam tuning to compensate for this inconsistency.However,it is difficult for them to deal with a large number of discrete local optima.The A3C algorithm,which has been applied in the automated control field,provides an approach for improving multi-dimensional optimization.The A3C algorithm is introduced and improved for the real-time beam tuning code for accelerators.Experiments in which optimization is achieved by using pointwise scanning,the genetic algorithm(one kind of EAs),and the A3C-algorithm are conducted and compared to optimize the currents of four steering magnets and two solenoids in the low-energy beam transport section(LEBT)of the Xi’an Proton Application Facility.Optimal currents are determined when the highest transmission of a radio frequency quadrupole(RFQ)accelerator downstream of the LEBT is achieved.The optimal work points of the tuned accelerator were obtained with currents of 0 A,0 A,0 A,and 0.1 A,for the four steering magnets,and 107 A and 96 A for the two solenoids.Furthermore,the highest transmission of the RFQ was 91.2%.Meanwhile,the lower time required for the optimization with the A3C algorithm was successfully verified.Optimization with the A3C algorithm consumed 42%and 78%less time than pointwise scanning with random initialization and pre-trained initialization of weights,respectively.

Non-harmonic resonance of viscoelastic structures subjected to time-dependent exponentially decreasing transverse distributed loads

In this paper,the non-harmonic resonance of Bernoulli viscoelastic beams,Kirchhoff viscoelastic plates,Timoshenko viscoelastic beams,and Mindlin viscoelastic plates subjected to time-dependent exponentially decreasing transverse distributed load is investigated for the first time.The constitutive equations are expressed utilizing Boltzmann integral law with a constant bulk modulus.The displacement vector is approximated by employing the separation of variables method.The Laplace transformation is used to transfer equations from the time domain to the Laplace domain and vice versa.The novel point of the proposed method is to express,prove and calculate the critical time in which the displacement will be several times the displacement at time zero.In addition,this new method calculates the maximum deflection at the critical time,explicitly and exactly,without any need to follow the time-displacement curve with a low computational cost.Additionally,the proposed method introduces the critical range of time so that the responses are greater than the responses at time zero.

Reinforcement⁃Learning⁃Based Appointed⁃Time Prescribed Performance Attitude Control for Rigid Spacecraft

This paper addresses a geometric control algorithm for the attitude tracking problem of the rigid spacecraft modeled on SO(3).Considering the topological and geometric properties of SO(3),we introduced a smooth positive attitude error function to convert the attitude tracking issue on SO(3)into the stabilization counterpart on its Lie algebra.The error transformation technique was further utilized to ensure the assigned transient and steady state performance of the attitude tracking error with the aid of a well⁃designed assigned⁃time performance function.Then,using the actor⁃critic(AC)neural architecture,an adaptive reinforcement learning approximator was constructed,in which the actor neural network(NN)was utilized to approximate the unknown nonlinearity online.A critic function was introduced to tune the next phase of the actor neural network operation for performance improvement via supervising the system performance.A rigorous stability analysis was presented to show that the assigned system performance can be achieved.Finally,the effectiveness and feasibility of the constructed control strategy was verified by the numerical simulation.

Robinson's Indirect Ways to Support Critical Period Hypothesis

On the Critical Period Hypothesis,Robinson indirectly supported it in his paper Individual Differences,Cognitive Abili ties,Aptitude Complexes and Learning Conditions in Second Language Acquisition.This paper digs out that time-boundedness and different lengths of time are important issues in his frame work,closely related with the critical period of time for language acquisi tion.In conclusion,Robinson’s framework is convincing,with the premise of admitting the existence of the critical period hy pothesis.

运用价值流分析实现急诊救治零跑动的实践与探讨

目的通过价值流分析来识别急诊诊疗过程中医患双方人力资源的隐性浪费,并利用信息等管理手段来提高急救时间的利用率。方法分析急诊抢救区非绿通患者、家属及医疗工作者的诊疗,确定时间浪费的爆发点,构建以急救区域为中心的信息、物流系统,并对比优化前后的结果。结果优化后患者用药时间、CT时间、检验时间、流程时间均较优化前缩短,时间有效率高于优化前,差异均具有统计学意义(p<0.05);医护人员流程PT、LT均较优化前缩短,时间有效率高于优化前,差异均具有统计学意义(p<0.05);家属跑动次数从6次降为0次;医护接触次数较优化前下降,患者满意度较优化前升高,差异均具有统计学意义(p<0.05)。结论利用价值流分析并构建的以急救区域为中心的信息、物流系统,减少医患双方劳动力的隐性浪费,提高急救时间的利用率。

哈特穆特·罗萨与马克思诊断“社会加速”的路径差异

人类历史进入近现代以来,以商品生产为根本特征的扩大再生产成为生产的主要形式,带来了社会加速这一崭新的历史景观,它在推动人类文明进步的同时也导致了一系列社会矛盾和挑战。新一代法兰克福学派批判理论家哈特穆特·罗萨以“时间结构”作为其社会研究的方法路径,明确把晚期现代社会诊断为“加速社会”,指出社会加速体现为“技术、社会变化和生活节奏”的加速,并由此带来了“空间异化”、“物界异化”、“行动异化”、“时间异化”和“自我异化与社会异化”等新的异化危机,进而试图通过重建主体与世界之间关系的“共鸣”道路来摆脱异化的困境。这一探讨尽管启发了我们对于人的生存、技术治理和社会建设等重大课题的进一步思考,但无论是其诊断路径还是解决方案,都存在着抽象性和理想化的理论局限。事实上,马克思运用历史唯物主义对资本主义社会的加速现象进行了科学分析,指出社会加速及其困境根本上源自“价值增殖”这一资本逻辑的推动,因此只有消灭资本主义私有制才能真正克服社会加速带来的异化困境。深入考察哈特穆特·罗萨与马克思诊断“社会加速”的两种理论路径,对于我们化解加速社会存在的一系列矛盾具有重要的理论意义和实践价值。