Development of a Nomogram for Predicting the Occurrence of Symptomatic Intracranial Haemorrhage after Thrombectomy: A Single-Center Retrospective Observational Study

Background Symptomatic intracranial haemorrhage (SICH) is a severe and deadly complication in patients with large vessel occlusion (LVO) who receive endovascular treatment (EVT). Recent studies have indicated that many risk factors, including pretreatment scores and the operation process, may be associated with the occurrence of SICH after thrombectomy. This study aims to identify independent risk factors and establish a novel nomogram-based model for patients with anterior LVO to predict the occurrence of SICH after direct thrombectomy or bridge therapy (thrombectomy based on intravenous thrombolysis). Methods Patients with acute ischaemic stroke after EVT to recanalize the blocked artery in anterior circulation were consecutively recruited from November 2017 to March 2019. Baseline information was collected from each patient. These data were subsequently analysed by R Project for Statistical Computing. Results A total of 127 patients with complete data were classified into the training set, among whom 37 patients (29.1%) fulfilled the criteria for SICH. The results of the multivariate analyses showed that NIHSS (P=0.024), ASPECT (P<0.001) and ASITN (P=0.017) scores were independently associated with the occurrence of SICH after thrombectomy. Ultimately, three independent pretreatment predictors were included in the NIHSS/ASPECT/ASITN (NAA) prediction model, and the receiver operating characteristic analysis results showed an area under the curve (AUC) of 0.845 (95% CI=0.763–0.928). The calibration plots showed that the actual observations were consistent with the measured and predicted results of the nomogram. Conclusions In this study, a novel model based on NAA for predicting the occurrence of SICH after thrombectomy in patients with anterior LVO was established and validated internally. The results suggest that this model can help improve perioperative evaluations and individualized treatment strategies.

Challenges of hospital ethics committees: a phenomenological study

Medical ethics committees play an important role in examining and resolving ethical problems in hospitals by developing ethical guidelines and making ethical decisions. This study aimed at investigating the challenges that these committees typically face. This qualitative phenomenological study was conducted in 2020. Data was collected through semi-structured interviews with purposive sampling and participation of 19 ethics committees’ members in Tehran hospitals. Then, data were analyzed by the content analysis method using MAXQDA-10 software. Challenges of hospital ethics committees were classified into three main themes including external factors, intra-organizational factors, and ethics committee structure, in addition to six sub-themes including inadequate supervision, lack of instructions, organizational culture, human resources, nature of the committee, and ineffectiveness of committees’ decisions. Since many challenges are faced by ethics committees, plans should be developed and implemented to fulfill the following purposes: (i) strengthen the position of these committees in hospitals, (ii) continuous supervision over the formation and holding of the committees, (iii) their operation process, (iv) their decision-making process, and (v) process of sharing committees’ decisions with all hospital stakeholders and staff.

The Mathematical Models of the Operation Process for Critical Production Facilities Using Advanced Technologies

The paper presents data on the problems of monitoring and diagnosing the technical conditions of critical production facilities, such as torpedo ladle cars, steel ladles. The accidents with critical production facilities, such as torpedo ladle cars, lead to losses and different types of damages in the metallurgical industry. The paper substantiates the need for a mathematical study of the operation process of the noted critical production facilities. A Markovian graph has been built that describes the states of torpedo ladle cars during their operation. A mathematical model is presented that allows determining the optimal frequency of diagnostics of torpedo ladle cars, which, in contrast to the existing approaches, take into account the procedures for preventive diagnostics of torpedo ladle cars, without taking them out of service. Dependence of the utilization coefficient on the period of diagnostics of PM350t torpedo ladle cars was developed. The results (of determining the optimal period of diagnostics for PM350t torpedo ladle cars) are demonstrated. The system for automated monitoring and diagnosing the technical conditions of torpedo ladle cars, without taking them out of service, has been developed and described.

Evaluation of the Operation Process of Medical Equipment to Enhance Ergonomic Reliability Based on FRAM–Moran’s I and CREAM

To improve the ergonomic reliability of medical equipment design during the operation process, a method for evaluating the operating procedure of a medical equipment interface according to functional resonance analysis method (FRAM)-Moran’s I and cognitive reliability and error analysis method (CREAM) is proposed in this study. The novelty of this research is to analyze the ergonomic reliability of medical equipment in a more systematic manner and to minimize the impact of human subjectivity and individual differences on the evaluation results of the operation process. To solve the calculation problem of functional resonance in FRAM and to make the evaluation results more objective, Moran’s I was introduced to quantify the deviation degree caused by the individual differences of the subjects. By giving weights based on Moran’s I, the influence of individual differences and subjectivity on the evaluation results can be minimized, to a certain extent. Considering the importance of a special environment, which is not fully considered by the conventional CREAM, the weighting values based on Moran’s I, Delphi survey, and technique for order preference by similarity to an ideal solution (TOPSIS) were adopted to assign weights to common performance conditions (CPCs) in CREAM. The optimal design scheme was selected more objectively than in the conventional method. The validity and practicability of this operation process evaluation method was verified by a statistical method based on ergonomic reliability experiments.

Analysis of an Optimal Model for Liquidity Management of Financial Assets Using an Intelligent Scheduling Approach

This paper adopts the intelligent scheduling method to conduct an in-depth study and analysis on the optimization of financial asset liquidity management model, elaborates and analyzes the liquidity risk management theory of commercial banks, and reviews the progress of liquidity risk management research in domestic and foreign academia as the theoretical basis of this paper. After that, we analyze the liquidity risk management of Anhui Tianchang Rural Commercial Bank from both qualitative and quantitative levels and further review and analyze the problems and causes. Finally, the full research is summarized and reviewed, theoretical and practical insights are discussed and analyzed, and future liquidity risk management research priorities and directions are elaborated. Based on the analysis results, the problems of the bank in liquidity risk management are described one by one, and further deep-seated cause discovery is carried out to summarize the problems of liquidity risk management which exist in the bank’s operation process due to the lack of liquidity risk management, unbalanced asset, and liability allocation, as well as weak emergency management capability, insufficient day-to-day liquidity monitoring, and lack of professional talents. For the problems and causes of the study, effective suggestions on how to strengthen the bank’s liquidity risk management in multiple aspects are proposed. It is hoped that, by improving the bank’s liquidity risk management and reducing the chance of liquidity risk occurrence, the bank’s sustainable development can be enhanced, and it is also hoped that it can provide some reference for the liquidity risk management of similar rural small- and medium-sized financial institutions.

Modeling of the criterion for predicting the loss of stability of discrete systems

The paper proposes a method for determining the estimated parameter of the stability state of discrete systems exposed to external influences. As a rule, the loss of stability of the first and second kind leads to a problematic operation process throughout the life cycle, or even the destruction of the system. Hence the requirements of a certain rigidity to the designed and operated systems in order to ensure their geometric immutability. At the same time, in practice, there are no naturally deformable systems from external influences. The paper sets and solves the problem of determining the stability parameter, with the help of which, even before the stage of loss of stability, it is possible to predict the future state of a discrete system, i.e. to predict whether it (the system) has sufficient internal properties to return to a stable position at any exit from the preliminary state of equilibrium due to the influence of external forces.

Experimental realization of quantum controlled teleportation of arbitrary two-qubit state via a five-qubit entangled state

Quantum controlled teleportation is the transmission of the quantum state under the supervision of a third party. This paper presents a theoretical and experimental combination of an arbitrary two-qubit quantum controlled teleportation scheme. In the scheme, the sender Alice only needs to perform two Bell state measurements, and the receiver Bob can perform the appropriate unitary operation to reconstruct arbitrary two-qubit states under the control of the supervisor Charlie. We verified the operation process of the scheme on the IBM Quantum Experience platform and further checked the accuracy of the transmitted quantum state by performing quantum state tomography. Meanwhile, good fidelity is obtained by calculating the theoretical density matrix and the experimental density matrix. We also introduced a sequence of photonic states to analyze the possible intercept-replace-resend, intercept-measure-resend, and entanglement-measure-resend attacks on this scheme. The results proved that our scheme is highly secure.