Special Points Research Articles

Cyber-infrastructure and epidemic precautionary policy: evidence from China.

The application of technology supported by cyber infrastructure has emerged as a critical factor influencing city management. This study aims to investigate whether the development of cyber infrastructure can enhance cities' confidence in responding to potential epidemic threats in the context of COVID-19. China serves as a good example for both COVID-19 management and smart city construction. We take advantage of a special time point, the 2022 Chinese New Year, to observe cities' precautionary epidemic policies. We utilize choice models and data from 188 Chinese cities to examine the impact of internet coverage on the degree of policy relaxation. We found that cities with higher internet coverage tend to adopt looser policies. In the benchmark regression, for every 1 percentage point increase in internet coverage, the likelihood of implementing loose measures increases by 0.9 percentage points. This result remains robust across different classifications of policies. We also addressed potential endogeneity issues by using the instrumental variables method. Our study indicates that effective management of epidemics in the modern era requires not only the utilization of traditional medical resources but also the incorporation of new city features, such as information technology infrastructure.

Special transition and extraordinary phase on the surface of a two-dimensional quantum Heisenberg antiferromagnet

Continuous phase transitions exhibit richer critical phenomena on the surface than in the bulk, because distinct surface universality classes can be realized at the same bulk critical point by tuning the surface interactions. The exploration of surface critical behavior provides a window looking into higher-dimensional boundary conformal field theories. In this work, we study the surface critical behavior of a two-dimensional (2D) quantum critical Heisenberg model by tuning the surface coupling strength, and discover a direct special transition on the surface from the ordinary phase into an extraordinary phase. The extraordinary phase has a long-range antiferromagnetic order on the surface, in sharp contrast to the logarithmic decaying spin correlations in the 3D classical O(3) model. The special transition point has a new set of critical exponents, y_{s}=0.86(4)ys=0.86(4) and \eta_{\parallel}=-0.33(1)η∥=−0.33(1), which are distinct from the special transition of the classical O(3) model and indicate a new surface universality class of the 3D O(3) Wilson-Fisher theory.

A novel combinational response mechanism for dynamic multi-objective optimization

Many real-world multi-objective optimization problems are dynamic. These problems require an optimization algorithm to quickly track optimal solutions after changing the environment. In most dynamic multi-objective optimization algorithms, response mechanisms are used to generate the initial population after the environment changes. In the present study, a novel Combinational Response Mechanism (CRM) is proposed, which consists of three parts. After detecting the environmental change, in the first part, RM-rand, a subpopulation of random solutions is generated using DE/rand/1 operator and Cauchy mutation. The second part, RM-Tr&SP, predicts a subpopulation of solutions using transfer learning (TL) and special points. The third part, RM-M, uses the best solutions of the previous environment with a propagation method based on crowding distance to generate the third subpopulation. A combination of the solutions of these three subpopulations is considered the initial population of the new environment. The proposed response mechanism can converge the set of solutions while maintaining their diversity. Thus, generating solutions with good convergence and diversity makes the initial population more adaptable to the new environment. The examinations were done on 24 common test functions. The experimental results indicate that the performance of the proposed response mechanism in dynamic multi-objective optimization is competitive with five advanced evolutionary algorithms.

An Application of Size-bias Method

In this paper, we derive an upper bound on the Kolmogorov distance between the distribution of a sum of indicator random variables and a standard normal distribution by using the size-bias method. Also, we give lower and upper bounds for distribution function of sum of indicator random variables in two special points.

Trajectory Synthesis and Optimization Design of an Unmanned Five-Bar Vegetable Factory Packing Machine Based on NSGA-II and Grey Relation Analysis

To address the problems of the complex structure and single packing trajectory of a packing machine, a hybrid-driven, five-bar packing machine for same-point pickup and different points of release in unmanned plant factories was designed, and a GRA-C method based on grey correlation analysis and CRITIC weighting for the quadratic optimization of Pareto solutions was proposed. According to the agronomic requirements, the original track of the packing machine was designed. The trajectory synthesis of the packing mechanism was completed based on the NSGA-Ⅱ multi-objective optimization algorithm. To reduce the overall size of the five-bar mechanism and to ensure its good motion performance, an optimization model for trajectory synthesis was established, and the optimal solution was obtained via the quadratic optimization of the Pareto front solution. To further improve the motion performance of the mechanism, the angular displacement curve at the secondary trajectory points was fitted. Through a comparative analysis with the solutions of three special points in the Pareto front solution set, it was found that the standard deviation of the angular velocity and the standard deviation of the angular acceleration after the quadratic optimization were 26.07% and 24.42% lower than the average values of the other three groups of solutions, respectively. The final optimization results were used to design the vegetable packaging machine, and the trajectory was found to be in good agreement with the expected trajectory, with a root mean square error of only 0.74.

Containment, affirmation and structural deficiency – revisiting an issue in psychoanalytic method

ABSTRACT The aim of Freudian analysis was to recover repressed memories, phantasies and wishes and make them conscious. This was the basic principle of analytic cure, and the means was interpretation. During the last 5–6 decades, analytic method has been supplemented by types of interventions addressing the relationship between therapist and patient. New kinds of intervention aim at adapting to the patient’s developmental level and capacity to profit from interpretations. These interventions seek to establish (new) meaning, not to uncover hidden meaning. A special point concerns a combined type, where an interpretation is wrapped in an affirmative form. The authors discuss this development and focus on the concepts of containment (Bion) and affirmation (Killingmo). They are developed from different models, but in spite of this, their aims seem to be similar; to remove doubts about the experience of reality and establish new meaning, thus preparing the way for interpretation of unconscious material. Two clinical vignettes illustrate some of the challenges facing the analyst in dealing with these dynamics.

An arithmetic valuative criterion for proper maps of tame algebraic stacks

The valuative criterion for proper maps of schemes has many applications in arithmetic, e.g. specializing Qp\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathbb {Q}_{p}$$\\end{document}-points to Fp\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathbb {F}_{p}$$\\end{document}-points. For algebraic stacks, the usual valuative criterion for proper maps is ill-suited for these kind of arguments, since it only gives a specialization point defined over an extension of the residue field, e.g. a Qp\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathbb {Q}_{p}$$\\end{document}-point will specialize to an Fpn\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathbb {F}_{p^{n}}$$\\end{document}-point for some n. We give a new valuative criterion for proper maps of tame stacks which solves this problem and is well-suited for arithmetic applications. As a consequence, we prove that the Lang–Nishimura theorem holds for tame stacks.

INVARIANT FORMS OF GEODESIC, POTENTIAL, AND DISSIPATIVE SYSTEMS ON TANGENT BUNDLE OF FINITE-DIMENSIONAL MANIFOLD

As is well-known [1–3], finding a sufficient number of tensor invariants (not only the first integrals) allows you to accurately integrate a system of differential equations. For example, the presence of an invariant differential form of the phase volume makes it possible to reduce the number of required first integrals. For conservative systems, this fact is natural, but for systems with attractive or repulsive limit sets, not only some first integrals, but also the coefficients of the available invariant differential forms should, generally speaking, include functions with essentially special points (see also [4–6]). In this paper, complete sets of invariant differential forms for homogeneous systems on tangent bundles to smooth finite-dimensional manifolds are presented for the class of dynamical systems under consideration.

A Bayesian analysis of the time through the order penalty in baseball

Abstract As a baseball game progresses, batters appear to perform better the more times they face a particular pitcher. The apparent drop-off in pitcher performance from one time through the order to the next, known as the Time Through the Order Penalty (TTOP), is often attributed to within-game batter learning. Although the TTOP has largely been accepted within baseball and influences many managers’ in-game decision making, we argue that existing approaches of estimating the size of the TTOP cannot disentangle continuous evolution in pitcher performance over the course of the game from discontinuities between successive times through the order. Using a Bayesian multinomial regression model, we find that, after adjusting for confounders like batter and pitcher quality, handedness, and home field advantage, there is little evidence of strong discontinuity in pitcher performance between times through the order. Our analysis suggests that the start of the third time through the order should not be viewed as a special cutoff point in deciding whether to pull a starting pitcher.

Analysis of Teaching Materials for Arabic Textbooks for Islamic Junior High School Based on CEFR Standards

Today Arabic is no longer the language of the Islamic holy book but has become an international language, the ministry of religion revised the curriculum by adding a special point, namely Arabic learning is directed at communicative. The research method used is content analysis with a qualitative approach. The data collection technique is documentation, while the aim is to determine the suitability of MTs textbooks with CEFR standard measuring instruments. From the results of the analysis it was found that the content of the MTs Arabic textbook material was generally at the level of A1-A2 on the CEFR standard, this level was in accordance with the needs of MTs students, but in terms of presentation it was still not appropriate because the portion of the material was still dominated by understanding the text. it is necessary to readjust the preparation of material that focuses more on the Arabic language needs of students and more contextual and provides a larger portion of language skills practice activities.

Özellikli Çocuk Gruplarıyla Doğa Etkinlikleri

Spending more time outdoors improves children's social and cognitive development, physical activity, and vision. Regular moderate-intensity physical activity is linked to many health benefits, including a reduced risk of high blood pressure, obesity, heart disease, stroke, cancer, and depression. Besides physical health indicators, physical activity has also been associated with higher academic and cognitive performance, and higher self-esteem. Since children's outdoor activities are primarily in public areas, there is a need for improvement studies to make these areas suitable for all children, including special child groups, and to supervise them. There are some special preparations and points to be considered during the activity when nature activities are desired to be held with child groups with chronic diseases such as epilepsy, diabetes, asthma, autism, or with atopic structure. With this review, we wanted to share some of the information needed to ensure that nature activities start and end happily with both special and healthy child groups.

Mathcal{N} = 2 CFT3’s from mathcal{N} = 4 gauged supergravity

We use holography and four-dimensional mathcal{N} = 4 gauged supergravity to collect evidence for a large class of interconnected three-dimensional mathcal{N} = 2 conformal field theories. On the gravity side, we construct a one-parameter family of ISO(3) × ISO(3) gaugings of half-maximal supergravity containing a rich structure of mathcal{N} = 2 AdS4 solutions at fixed radius. By looking at excitations around these AdS4 solutions, the spectrum of low lying operators in the dual mathcal{N} = 2 CFT3’s is computed and further arranged into \U0001d52c\U0001d530(2|4) supermultiplets. Upon suitable removal of gauge redundancies, we identify the Zamolodchikov metric on the conformal manifold dual to the AdS4 moduli space, and recover previous results in the S-fold literature. Two special points of mathcal{N} = 4 supersymmetry enhancement occur. While one describes an S-fold CFT3 dual to a non-geometric type IIB twisted compactification, the string-theoretic realisation of the other, if any, is still lacking.

Origami-inspired isolators with quasi-zero stiffness for coupled axial-torsional vibration

Vibration isolators with quasi-zero stiffness (QZS) property is an ideal solution for suppressing undesirable vibrations in engineering systems. Previous QZS isolators were mainly designed based on single-degree-of-freedom QZS structures without the capability for multi-directional vibration isolation. In this work, a Kresling-origami-inspired isolator (KOI) with QZS property in axial, torsional and coupled vibration is proposed. The KOI consists of two symmetric Kresling origami elements (KOEs), while a KOE is assembled by a base and an axial spring in parallel. Based on the static analysis, the bi-stability of bases is designed to provide negative stiffness. The QZS property of KOE is achieved by utilizing the special point Case-Q, which provides a novel strategy to design such an isolator. Such QZS property is only available for the KOE under axial or torsional excitation, while the KOI is further extended for isolating coupled excitations. The dynamic responses of KOI are calculated by solving its governing equations. Comparison between the theory results and those simulated in ADAMS shows good agreement. The transmissibility of the proposed isolator under axial and torsional vibration excitations is demonstrated to be able to achieve efficient vibration isolation performance, even full frequency range of vibration isolation for relatively weak excitations due to its nonlinearity. The developed theoretical framework and findings will provide a new way to design effective QZS isolators for multi-directional vibrations.

A Framework for Analyzing Fraud Risk Warning and Interference Effects by Fusing Multivariate Heterogeneous Data: A Bayesian Belief Network.

In the construction of a telecom-fraud risk warning and intervention-effect prediction model, how to apply multivariate heterogeneous data to the front-end prevention and management of telecommunication network fraud has become one of the focuses of this research. The Bayesian network-based fraud risk warning and intervention model was designed by taking into account existing data accumulation, the related literature, and expert knowledge. The initial structure of the model was improved by utilizing City S as an application example, and a telecom-fraud analysis and warning framework was proposed by incorporating telecom-fraud mapping. After the evaluation in this paper, the model shows that age has a maximum sensitivity of 13.5% to telecom-fraud losses; anti-fraud propaganda can reduce the probability of losses above 300,000 yuan by 2%; and the overall telecom-fraud losses show that more occur in the summer and less occur in the autumn, and that the Double 11 period and other special time points are prominent. The model in this paper has good application value in the real-world field, and the analysis of the early warning framework can provide decision support for the police and the community to identify the groups, locations, and spatial and temporal environments prone to fraud, to combat propaganda and provide a timely warning to stop losses.

Canard phenomena for a slow-fast predator-prey system with group defense of the prey

In this study, we consider that the predator reproduces much slower than the prey and propose a slow-fast predator-prey system with the group defense of the prey, which is described by the Ivlev-type functional response. We analyze the canard phenomena (relaxation oscillation and canard cycles) of our proposed model by applying the singular perturbation theory. Firstly, we apply the blow-up techniques and visualize the behavior near the special fold point, which allows us to prove the existence of the unique attractive limit cycle and imply the appearance of the canard phenomenon when crossing the fold point, and the numerical simulations verify the theoretical results. Then we further use the singular perturbation theory to investigate the existence and cyclicity of the canard cycle without head and the existence of the canard cycle with head. Our main results of the complex canard phenomenon reveal the fact that some certain species in the ecosystem suddenly burst back many years after being about extinct.

Introduction: Citational Politics in Medical Anthropology.

Introduction: Citational Politics in Medical Anthropology.

Assessment of the influence of sensor noise on the accuracy of the microsatellite orientation determination system and methods of its reduction

The effect of sensor noise on the accuracy of determining the orientation of a micro-satellite by the TRIAD method with the signals of magnetometers and the Sun sensor is considered. It was shown that at special points of the orbit, where the measured induction vector of the Earth's magnetic field and the Sun's vector are collinear, noises lead to significant errors in determining the orientation of the satellite. To determine special points, it is necessary to control the angle between the induction vectors and the Sun's vector according to the given formula. To reduce errors at special points, it is advisable to apply filtering (smoothing) of the signal or to switch to another method of orientation determination, for example, an inertial one using a platformless orientation system. It is also possible to "freeze" angle in the area of a special point for a few seconds. This makes it possible to significantly reduce the errors of both the determined orientation angles and angular velocities, which are calculated analytically.

Tuning the Radius Ratio to Enhance Thermoelectric Properties in the Zintl Compounds AM2Sb2 (A = Ba, Sr; M = Zn, Cd)

Five novel Zintl phase solid solutions in the Ba1–xSrxZn2–yCdySb2 (0 ≤ x ≤ 0.13(1); 0 ≤ y ≤ 0.32(2)) system were successfully synthesized by the molten Pb metal-flux method, and the powder X-ray diffraction and single-crystal X-ray diffraction analyses proved that all five title compounds adopted the BaCu2S2-type phase having the orthorhombic Pnma space group (Z = 4, Pearson code oP20) with five crystallographically independent atomic sites. The previously studied BaCu2S2-type antimonides demonstrated a limited tolerance for doping in contrast to the CaAl2Si2-type antimonides. To understand the relatively narrower phase width and limited dopability of the title BaCu2S2-type phase than the CaAl2Si2-type phase in the overall Ba1–xSrxZn2–yCdySb2 system, the radius ratio of cations and anionic elements r+/r– for two structure types were thoroughly investigated. For the first time, the r+/r– ratio was identified as a critical factor for the phase selectivity: (1) r+/r– > 1 favored the BaCu2S2-type phase, and (2) r+/r– < 1 favored the CaAl2Si2-type phase. We also revealed the structural transformation mechanism from the more widely observed CaAl2Si2-type phase to the title BaCu2S2-type phase as the relatively larger cationic elements were introduced to the system. A series of DFT calculations using the three hypothetical models indicated that a resonance peak near EF in the density of states curves was descended from the relatively flat band structure at several special symmetry points rationalizing the enhanced Seebeck coefficients of Ba0.94(1)Sr0.06Zn1.86(3)Cd0.14Sb2 and Ba0.96(1)Sr0.04Zn1.68(2)Cd0.32Sb2. Electron localization function analysis rationalized the correlation between the polarity change of anionic Zn/Cd–Sb bonds and the charge carrier mobility on the anionic frameworks. Temperature-dependent thermoelectric properties were studied for the four title compounds, and the results proved that the Sr and Cd doping in the title Ba1–xSrxZn2–yCdySb2 system successfully enhanced the ZT values through the increased Seebeck coefficients and the reduced total thermal conductivities.

Recycling in Building Materials: Analysis of the Possibilities and Results of Using Recycled Glass Sand in Autoclaved Materials

The construction industry is particularly responsible for the appearance of the earth and the environment and for its partial degradation related to climate warming through the production of cement, brick burning, and the processing of substrates for the production of building materials (lime, gypsum, polystyrene, processed materials, etc.). An important aspect of the 21st century has been the overproduction and excessive use of natural resources, including sand. The purpose of this article is to analyze the possibility of using glass sand as a substitute for quartz sand in the production of materials resulting from hydrothermal treatment (so-called silicate bricks). The article is a review of the research conducted since 2016 on laboratory tests on the modification of silicate mass with glass sand from recycled bottle glass, the properties of the mass modified in this way (hydration temperature, consistency, and humidity of the mixture), its physical and mechanical properties, and its structural and potential durability, which is related to, e.g., the direction and degree of crystallization of the C-S-H phase. Tests of compressive strength, density, water absorption, oxide composition (XRF), structure (XRD), microstructure (SEM), and porosity (CT analysis using computer tomography) were carried out. A special point of the research was the use of geochemical modeling code in the form of the GEMS-PSI program in the process of analyzing the modification of silicate mass by glass sand, which is beneficial in limiting ineffective modifications, thus saving time, money, and energy. Studies have shown that the use of glass cullet has a positive effect on the consistency of the modified raw material mass, on the density (1.6–1.75 kg/dm3), and on the compressive strength (15.729–20.3 MPa), while the crystallization of the C-S-H phase occurs in the direction of natrolite and gyrolite, less frequently towards the M-S-H or brucite phase.

Time Series Symbolization Method for the Data Mining K-Means Algorithm

Time series is a data type frequently encountered in data analysis. With the current depth and breadth of the data and the improvement in computer processing capabilities, the dimensionality and the complexity of time series are getting higher and higher. Time series symbolization is to cluster and assign complex and lengthy time series in the form of symbols to achieve the purpose of reducing the dimensionality of the sequence or making the sequence easier to process. Considering the excellent performance of the K-means algorithm in data mining and processing, as well as in the allocation algorithm for clustering, we plan to develop a simple method for the symbolization of time series for the K-means algorithm and hope that this method can realize the high-dimensional time series dimensionality reduction, processing of the special points in time series, and so on. Based on this, this article proposes an improved sans algorithm based on the K-means algorithm and discusses the representation method and the data processing of time series symbolization. Experimental results show that this method can effectively reduce the dimensionality of high-dimensional time series. After dimensionality reduction, the information retention rate contained in the elevation of the sequence can reach more than 90%, which is very effective for the detection of outliers in low-dimensional sequences.