Miracle-dz/UniFAR-FTUs huggingface dataset:
Management in Continuous Renal Replacement Therapy Nursing of Critically Ill Patients

Objective. To evaluate the ecacy of risk management in the nursing of critically ill patients on continuous renal replacement therapy (CRRT). Methods. In this retrospective study, 80 critically ill patients on continuous renal replacement therapy in our hospital from February 2020 to February 2021 were recruited. ey were randomly assigned to receive either the risk management treatment (risk management group) or the conventional management treatment (conventional management group) via the random number table method. Outcome measurements included the occurrence of adverse events, complications, psychological status, quality of life, treatment compliance, duration of CRRT, and nursing satisfaction. Results. Risk management treatment was associated with lower incidence of adverse events compared to conventional management treatment (P value < 0.05). e risk management group also resulted in a lower incidence of complications compared to the conventional management group (P value < 0.05). Patients who received risk management treatments demonstrated a signicantly lower anxiety/depression level and a higherWorld Health Organization Quality of Life Brief Version (WHOQOL-BREF) (P value < 0.05). e risk management group resulted in more cases with high compliance and fewer cases with moderate and poor compliance (P< 0.05). Risk management was associated with more cases with a CRRTduration less than 36 hours and 36–48 hours and fewer cases with a duration longer than 48 h (X 2.999, P value < 0.05). Patients who were given a risk management treatment had a higher nursing satisfaction compared to conventional management treatment (X 4.501, P value < 0.05). Conclusion. Risk management treatment in caring of critically ill patients on CRRT shows better ecacy than conventional management treatments.
Construction of Economic Data Management System Based on BP Neural Network

In order to further understand the economic data management system and technology, in-depth research was conducted in the state of people's nervous system feeling. The method of building open platform algorithm to optimize and modify weight rule 2BP grid construction was used to study. According to the basic principle, the BP neural network which is more suitable for economic data management system was constructed. At the same time, to construct economic database resources, neural network system was mainly to simplify and abstract or simulate the human brain nervous system, which is not completely the same, but can also map the basic characteristics of many functions of the human brain. Through the analysis of the economic data of the neural network, the neural network is widely used in the economic data management, which not only improves the management level of enterprises, but also improves the benefits and profits of enterprises. Besides, it has application effect in predicting economic early warning risk analysis cost control strategy management enterprise credit evaluation and enterprise competitiveness evaluation.
Survival in Patients with Cirrhosis According to Etiology. Retrospective Cohort

Introduction: Cirrhosis is the final stage of chronically progressive liver disea ses of various etiologies. It is a common disease, with a variable prevalence in each country. Its peak incidence occurs between 40 and 50 years of age, pre dominantly in men. Aims: To compare a cohort of patients diagnosed with cirr hosis, evaluate their complications and survival according to etiology, describe clinical and laboratory aspects, and determine the role of a fatty liver. Materials and methods: A retrospective cohort study was carried out with patients who held a specialized hepatology consultation in the center of liver and digestive di seases (CEHYD) in Bogotá, Colombia, between January 2010 and June 2019. Results: We reviewed a total of 1,200 medical records (56.8 % women). There were no statistically significant differences in median survival between groups by etiology, sex, presence or absence of complications, or Child. We noted that the older the age at the diagnosis of cirrhosis, the higher the risk of death; HR 1.04 (95 % CI 1.02-1.075). For each month that follow-up increases, the risk of death decreases by 90 %; HR 0.1 (95 % CI 0.03-0.29). For each month that the follow-up of complications increases, the risk of death is reduced by 2 %; HR 0.98 (95 % CI 0.97-0.99). Conclusions: Survival by etiology was similar in the different groups. Nonalcoholic steatohepatitis (NASH) was the leading cause of cirrhosis in this cohort. Efforts should focus on its diagnosis and management in the early stages.
Discriminative bias for classiﬁcation with robust probabilistic models

Probabilistic Sentential Decision Diagrams (PSDD) are a type of probabilistic circuit that can be learned incrementally from data by iteratively optimizing the log-likelihood of the induced distribution. As generative models, PSDDs remain robust against missing features but are often out-performed by discriminatively trained models in classiﬁcation tasks. We consider the recently published D-L EARN PSDD learner, which explicitly encodes the discriminative relation between class and feature variables to improve classiﬁcation performance, while still reaping the robustness bene-ﬁts of generative learning. In this work we further generalize the original contribution’s theorems to consider multi-value classiﬁcation scenarios, and we discuss the implementation techniques suitable for those scenarios.
Monetary aggregates and business cycle in the Argentine economy. A small open economy model with endogenous money multiplier and currency substitution

The procyclical nature of monetary aggregates has been one of the main topics of debate in monetary economics. Most of literature adopts some strategy that involves nominal rigidities or market imperfections in order to explain the causal role that monetary factors play in determining real economic activity. In this thesis I provide a novel explanation to the positive relationship between monetary and real variables in a context of full flexible prices and competitive markets. By adding currency substitution into a standard small open economy RBC model with endogenous money multiplier, the model manages to replicate the positive relationship between monetary aggregates and output in the Argentine economy under different exchange rate regimes. The model also explains the switch in the correlation between the money multiplier and output when exchange rate regime changes. Under a fixed exchange rate regime, the reverse causality mechanism works, and the positive correlation between monetary aggregates and output is driven by the money multiplier. When exchange rate is full flexible, the money multiplier reacts negatively to the productivity shock, and the positive correlation is explained by the currency substitution effect.
Improvement of suturing skills after training. Presentation of a simulation and evaluation model.

: Introduction. Acquiring surgical skills through simulation is a growing need nowadays. Every day more, patient safety is valued, and therefore it is unacceptable that surgeons without previous training attend patients. Our objective is to develop a low-cost simulation system, and a score, which allows evaluating the acquisition of knowledge. Methods. 6 first-year ophthalmology residents were chosen to perform two recorded sessions, where they performed different suture techniques. Between Conclusion. We developed a low-cost, portable training system with acquisition of skills in a group of residents. We have also developed an evaluation scale that allows to objectively assess progression.
Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran

Design and performance of polygeneration energy systems are highly influenced by several variables, including the climate zone, which can affect the load profile as well as the availability of renewable energy sources. To investigate the effects, in this study, the design of a polygeneration system for identical residential buildings that are located in three different climate zones in Iran has been investigated. To perform the study, a model has previously developed by the author is used. The performance of the polygeneration system in terms of energy, economy and environment were compared to each other. The results show significant energetic and environmental benefits of the implementation of polygeneration systems in Iran, especially in the building that is located in a hot climate, with a high cooling demand and a low heating demand. Optimal polygeneration system for an identical building has achieved a 27% carbon dioxide emission reduction in the cold climate, while this value is around 41% in the hot climate. However, when considering the price of electricity and gas in the current energy market in Iran, none of the systems are feasible and financial support mechanisms or other incentives are required to promote the application of decentralized polygeneration energy systems.
Deconstructing bottleneck shiftiness: the impact of bottleneck position on order release control in pure flow shops

Abstract Bottleneck shiftiness is an important managerial problem that negatively affects shop floor manageability. It has therefore received much research attention. Yet research has focused on how protective capacity can be used to influence bottleneck shiftiness rather than on assessing its operational impact. The latter is complex to evaluate since changing the degree of bottleneck shiftiness influences utilization, which makes the results of different experimental settings non-comparable. To overcome this problem, we take a different approach. Bottleneck shiftiness is decomposed by investigating its underlying phenomenon: the impact of the bottleneck position. Using simulation, we demonstrate that tighter control can be exercised, and better performance achieved, the further upstream the bottleneck is positioned. It is consequently important to be aware of the direction of the bottleneck shift. If the bottleneck shifts upstream, performance is likely to improve rather than deteriorate as is implicitly assumed in the literature.
Single-photon SPAD imagers in biophotonics: Review and Outlook

Single-photon avalanche diode (SPAD) arrays are solid-state detectors offering imaging capabilities at the level of individual photons, with unparalleled photon counting and time-resolved performance. This fascinating technology has progressed at very high pace in the past 15~years, since its inception in standard CMOS technology in 2003. A host of architectures has been explored, ranging from simpler implementations, based solely on off-chip data processing, to progressively ``smarter" sensors including on-chip, or even pixel-level, timestamping and processing capabilities. As the technology matured, a range of biophotonics applications has been explored, including (endoscopic) FLIM, (multi-beam multiphoton) FLIM-FRET, SPIM-FCS, super-resolution microscopy, time-resolved Raman, NIROT, and PET. We will review some representative sensors and their corresponding applications, including the most relevant challenges faced by chip designers and end-users. Finally, we will provide an outlook on the future of this fascinating technology.
Geometry of the D1-D5-P system

This thesis is devoted to study of the D1-D5-P system. It is known that this system provides a microscopic model of a five dimensional black hole carrying three charges and two independent angular momenta. We first consider a subset of states of this system with zero momentum. The known exact geometries for these states are used to give an explicit AdS3/CFT2 map for the two charge system. We construct dual geometries for true bound states of D1-D5 system in the presence of a non-zero B-field and give a supergravity description of the process of tachyon condensation. We construct a number of solutions describing three charge states, both perturbative and exact. All the solutions have the property that they are singularity and horizon free. The structure of black hole microstates in general is expected to satisfy the same properties. This leads to a concrete proposal for resolving the information paradox.
Calculating Beam Breakup in Superconducting Linear Accelerators

As the intensity of a particle beam passing through a linear accelerator is raised, interactions between particles play an increasingly prominent role in determining the overall dynamics of the beam. These many body effects, known collectively as beam breakup, tend to degrade the quality of the transported beam, and hence they must be calculated to accurately predict the evolution of the beam as it traverses the accelerator. Several codes which compute various collective effects have been developed and used to simulate the dynamics of beams passing through superconducting accelerator structures. All the codes use the same basic algorithm: the beam is tracked through elements giving the focusing forces on the particles, and at the appropriate locations in the linac, localized forces are impressed on the particles which model the electromagnetic interactions. Here, a difficulty is that the usual ''Coulomb'' interaction between particles is changed by the electromagnetic environment of the accelerator. By such calculations it has been shown that recirculating linear accelerators such as the one being built at the Continuous Electron Beam Accelerator Facility (CEBAF) should remain stable against multipass beam breakup instability as long as the average current does not exceed about 20 mA, that the beam qualitymore » at CEBAF will be degraded when the single bunch charge approaches 10{sup 9} electrons, and that the beam quality of superconducting linacs that are optimized for high current transport begins to decrease at around 10{sup 10} electrons per bunch. The latter result is of interest to individuals who would use superconducting linacs as beam sources for free electron lasers or for superconducting colliders for high energy physics research. « less
Aligning retail reverse logistics practice with circular economy values: an exploratory framework

Abstract Although there is a growing body of literature concerning Circular Economy (CE), there is little, in terms of frameworks in the literature, which focuses on embedding CE values in consumer Retail Reverse Logistics (RRL) operations. The aim of this paper is to present a conceptual framework that supports the adoption of CE values within RRL operations. The framework is designed to assist both practitioners and academics in better understanding the key management aspects involved. The methodology adopts a mixed methods approach combining a desk-based research with rich empirical data from interviews with senior management practitioners and academics in the fields of CE and RRL. From this research, it was found that embedding CE values within RRL necessitates the adoption of a multi-faceted approach. The adoption of the framework will have an impact on practitioners by assisting them in moving towards a more restorative and less impactful approach to their RRL practices. The work is considered innovative and novel as this is the first time the empirical results that suggest a multi-dimensional approach embedding CE values in RRL operations are presented.
Single electron manipulation in silicon nanowires for quantum technologies

A redenition of the Ampere based on the quantum metrology triangle is required to improve the accuracy of the unit. The Si single electron pump is considered a promising candidate for the single electron source in the quantum metrology triangle due to its compatibility with the state-of-art CMOS manufacturing platform. However, the fabrication processes have not been fully established, and the performance impact factors and reliability of Si single electron pumps have not been fully addressed. In this project, I successfully fabricated Si electron pumps with atomically at surfaces, using the advanced facilities in Southampton Nanofabrication Centre. I observed current plateaus with the width of 18 meV and uncertainty of 0.828% when the single electron pump is operated at 125 MHz in the National Physical Laboratory, showing the possibilities for the applications of current calibration. The reliability issues were investigated by measuring Si quantum dot devices and the single electron pumps fabricated. The impact of charge traps in quantum devices were addressed by investigating the random telegraph noise in the devices. I demonstrated that the charge traps can impact the device reliability by resonant tunnelling, which will help scientists to understand further about the reliability impact factors of silicon quantum devices.
Comparison of Muscle Activities between Two Unilateral Weight Bearing Exercises in Patellofemoral Pain Syndrome

Patients with patellofemoral pain syndrome (PFPS) usually demonstrate gluteus medius (GMed), vastus medialis oblique (VMO), and vastus lateralis (VL) muscle weakness. An investigation of the different types of exercise needed for this population to stimulate proper muscle is required. This study aimed to compare muscle activities of GMed, VMO, and VL during eccentric and concentric phases between forward step up and wall single leg squat exercises in patients with PFPS. Ten females with PFPS participated in the study. Muscle activities of GMed, VMO, and VL were recorded by electromyography (EMG) during the forward step up, and wall single leg squat exercises. Paired t -test was used for analysis of muscle activities between types of exercises. Muscle activities of GMed, VMO, and VL during eccentric and concentric phases were significantly lower in the forward step up than the wall single leg squat. Both forward step up and wall single leg squat exercises were effective in order to activate works of GMed, VMO, and VL muscles in patients with PFPS.
Application Study of Self - balanced Testing Method on Big Diameter Rock - socketed Piles

Through the technological test of self-balanced testing method on big diameter rock-socketed piles of broadcasting centre building of Tai’an, this paper studies and analyzes the links of the balance position selection, the load cell production and installation, displacement sensor selection and installation, loading steps, stability conditions and determination of the bearing capacity in the process of self-balanced testing. And this paper summarizes key technology and engineering experience of self-balanced testing method of big diameter rock-socketed piles and, meanwhile, it also analyzes the difficult technical problems needed to be resolved urgently at present. Conclusion of the study has important significance to the popularization and application of self-balanced testing method and the similar projects.
Extending DTGolog to deal with POMDPs

For sophisticated robots, it may be best to accept and reason with noisy sensor data, instead of assuming complete observation and then dealing with the effects of making the assumption. We shall model uncertainties with a formalism called the partially observable Markov decision process (POMDP). The planner developed in this paper will be implemented in Golog; a theoretically and practically ‘proven’ agent programming language. There exists a working implementation of our POMDPplanner.
Generation with semantic proof nets

Categorial grammars and Lambek calculus found a nice embedding in Linear Logic, and a lot of work have presented proof nets uses for linguistic purposes, with a special look at proof nets for Lambek calculus. But they have mainly explored the syntactic capabilities of proof nets, describing parsing processes. We present here our vision of the generation process based on semantic proof nets. The main features of this proposal consist in the use of proof nets for lambek calculus but also for semantic recipes of lexical entries, so that no lambda-term unification occur with their limitations (undecidability from second order). Based on a graph calculus, the solutions of this process can be expressed as a matrix computation.
A Bootstrap Multigrid Eigensolver

This paper introduces bootstrap multigrid methods for solving eigenvalue problems arising from the discretization of partial differential equations. Inspired by the full bootstrap algebraic multigrid (BAMG) setup algorithm that includes an AMG eigensolver, it is illustrated how the algorithm can be simplified for the case of a discretized partial differential equation (PDE), thereby developing a bootstrap geometric multigrid (BMG) approach. We illustrate numerically the efficacy of the BMG method for: (1) recovering eigenvalues having large multiplicity, (2) computing interior eigenvalues, and (3) approximating shifted indefinite eigenvalue problems. Numerical experiments are presented to illustrate the basic components and ideas behind the success of the overall bootstrap multigrid approach. For completeness, we present a simplified error analysis of a two-grid bootstrap algorithm for the Laplace-Beltrami eigenvalue problem.
Theory of two-photon absorption with broadband squeezed vacuum

: We present an analytical quantum theoretic model for non-resonant molecular two-photon absorption (TPA) of broadband, spectrally multi-mode squeezed vacuum, including low-gain (isolated entangled photon pairs or EPP) and high-gain (bright squeezed vacuum or BSV) regimes. The results are relevant to the potential use of entangled-light TPA as a spectroscopic and imaging method. We treat the scenario that the exciting light is spatially single-mode and is non-resonant with all intermediate molecular states. In the case of high gain, we find that in the case that the linewidth of the final molecular state is much narrower than the bandwidth of the exciting light, bright squeezed vacuum is found to be equally (but no more) effective in driving TPA as is a quasi-monochromatic coherent-state (classical) pulse of the same temporal shape, duration and mean photon number. Therefore, in this case the sought-for advantage of observing TPA at extremely low optical flux is not provided by broadband bright squeezed vacuum. In the opposite case that the final-state linewidth is much broader than the bandwidth of the BSV exciting light, we show that the TPA rate is proportional to the second-order intensity autocorrelation function at zero time delay , as expected. We derive and evaluate formulas describing the transition between these two limiting cases, that is, including the regime where the molecular linewidth and optical bandwidth are comparable, as is often the case in experimental studies. We also show that for to reach the idealized form , with being the mean number of photons per temporal mode, it is required to compensate the dispersion inherent in the nonlinear-optical crystal used to generate the BSV.