bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Dark Side of Investor Conferences: Evidence of Managerial Opportunism
Authors: Bushee Brian J. , Taylor Daniel J. , Zhu Christina 
Published: October 2022

ABSTRACT
Although the shareholder benefits of investor conferences are well-documented, evidence on whether these conferences facilitate managerial opportunism is scarce. We examine whether managers opportunistically exploit heightened attention around the conference to “hype” the stock. We find that (1) managers increase the quantity of voluntary disclosure leading up to the conference, (2) these disclosures are more positive in tone and increase prices to a greater extent than post-conference disclosures, and (3) these disclosures are more pronounced when insiders sell their shares immediately prior to the conference. In circumstances where pre-conference disclosures coincide with pre-conference insider net selling, we find evidence of a significant return reversal––large positive returns before the conference and large negative returns after the conference––and that the firm is more likely to be named in a securities class action lawsuit. Collectively, our findings are consistent with some managers hyping the stock prior to the conference.
Effects of Material Thickness and Pretreatment on the Interfacial Gap of Translucent Zirconia Restorations with Self-adhesive Resin Cement
Authors: Han S-H , Shimada Y , Sadr A , Tagami J , Tabata T , Nakagawa H , Yang S-E 
Published: October 2022

SUMMARY

Purpose
The first objective was to determine if the dual-curing of self-adhesive resin cement (SAC) with reduced light penetrating through zirconia had an effect on interfacial gap of zirconia restorations. The second purpose was to examine whether pretreatment methods for universal adhesive affected interfacial gap. The last aim was to compare the microhardness of SAC polymerized under different zirconia thicknesses.

Methods and Materials
This study evaluated self-adhesive resin cement (RelyX U200, 3M ESPE) after different pretreatment with universal adhesive (Single Bond Universal, 3M ESPE) under different polymerization conditions. CAD/CAM inlay cavities were prepared on extracted third molars. Translucent zirconia restorations were milled using Katana UTML (Kuraray). The teeth were divided into three groups: Groups I, II, and III in which the restoration thicknesses were 1, 2, and 3 mm. Each Group had three subgroups according to different pretreatment methods. For subgroup-1, no pretreatment was done on the prepared cavity. For subgroup-2, universal adhesive was applied and light-cured before cement placement (precure method). For subgroup-3, universal adhesive was applied; however, light-curing was done after cement placement (cocure method). After thermo-cycling, the interfacial gap at the restoration-tooth interface was investigated using swept-source optical coherence tomography imaging. Finally, microhardness was measured for SAC under different zirconia thicknesses. For statistical analysis, the interfacial gap was analyzed using two-way analysis of variance (ANOVA) to test the effect of cavity depth and pretreatment. In terms of each cavity depth and pretreatment, the interfacial gap was compared using one-way ANOVA and Scheffe’s test. One-way ANOVA was also performed for comparison of the Vickers hardness results.

Results
Different thicknesses of the restoration resulted in differences in interfacial gaps except between the precure method of Groups I and II (p&lt;0.05). The effect of universal adhesive pretreatment was different depending on the restoration thickness with exceptions in Groups I and III (p&lt;0.05). Vickers hardness number decreased as the low radiant exposure of light was applied (p&lt;0.05).

Conclusion
Interfacial gap of zirconia restorations can differ depending on the material thickness, pretreatment, and activation mode. Reduced light intensity penetrating through zirconia may lead to higher interfacial gap percentage and lower microhardness of the self-adhesive resin cement. Application of a universal adhesive showed similar or reduced interfacial gaps in the cement space.
I atomvåpnenes skygge: Amerikansk atomstrategi og Norge
Authors: Andersen Adelina Trolle 
Published: October 2022

Denne artikkelen undersøker hvordan nylig inntrufne endringer i amerikansk atomvåpenstrategi kan påvirke krisestabiliteten mellom USA og Russland og hvilke implikasjoner det kan ha for Norge. Enkelt oppsummert fremstår moderniseringsprogrammene til atomvåpnene, introduksjonen av nye våpen og den deklaratoriske politikken egnet til å undergrave krisestabiliteten fordi det gir USA økte counterforce-kapasiteter. Dette har implikasjoner for norsk alliansepolitikk: Endringene i amerikansk atomvåpenstrategi kan senke terskelen for etablering av bastionforsvaret og øke russisk usikkerhet om norsk tilrettelegging for amerikansk politikk. Med utgangspunkt i tradisjonell teori om krisestabilitet, fremstår flere av de identifiserte endringene i USAs atomvåpenstrategi som destabiliserende. Den tyder på at amerikanske myndigheter ikke aksepterer ideen om den «kjernefysiske revolusjonen». Til tross for dette, skal bekymringen for atomkrig ikke overdrives. Militære analyser må omsettes til politikk. Selv om sannsynligheten for et vellykket førsteslag øker, er det vanskelig å forestille seg politikere som vil risikere atomkrig. Det betyr at avskrekking er mer robust enn hva rene militæranalyser tilsier.
Abstract in EnglishIn the Shadow of Nuclear Weapons: American Nuclear Policy and NorwayThe aim of this article is to provide insight into how recent changes in U.S. nuclear weapon strategy might affect crisis stability between the U.S. and Russia and what implications they might have for Norway. In brief, the nuclear modernization programs, introduction of new systems and changes in declaratory policy may undermine crisis stability because they enhance U.S. “counterforce” capabilities. This has implications for Norwegian alliance policy: changes in U.S. nuclear strategy might lower the threshold for Russia to establish the bastion concept and increase Russia’s uncertainty about the scope of Norwegian facilitation of U.S. policy. Utilizing traditional theories of crisis stability on recent policy changes indicates that the current stability is tenuous. It seems as if subsequent U.S. administrations do not accept the idea of a “nuclear revolution”. Despite this, concerns about a nuclear war should not be exaggerated. Military analyses must be translated into political action. Even if the chance of a successful first strike increases, it is difficult to imagine politicians willing to risk a nuclear war. This indicates that deterrence is more robust than what pure military analyses suggest.
Hubungan Riwayat Gaya Hidup Sehat Dengan Tingkat Kesembuhan Pasien Karantina Mandiri Covid-19
Authors: Yoswandik Yoswandik , Hidayat Rodhi R , Ibrahim Ibrahim , Sinaga Evi , Sinaga Siska 
Published: October 2022

Tujuan dari penelitian ini ialah untuk melakukan verfikasi beberapa teori dan penelitian pendahulu terkait pengaruh gaya hidup sehat terhadap tingkat kesembuhan pasien karantina mandiri COVID-19 di kota Jayapura. Jenis penelitian yang akan kami jalankan adalah penelitian kualitatif, dengan desain penelitian ex post facto. Pusposive sampling kami mengarah pada para penyintas COVID-19 Cluster Kota Jayapra. Kami menggunakan instrumen Healthy Lifestyle Scale for University Students yang diusulkan memiliki validitas 0,841 dan reliabilitas konstruk 0,892. eknik analisa data yang kami gunakan dalam penelitian ini adalah statistik deskripsti. Kepedulian terhadap kesehatan bernilai tinggi karena saat terinveksi kebutuhan gaya hidup sehat meningkat. Dukungan Sosial bernilai tinggi karena saat terinveksi kebutuhan untuk dilayani orang lain sebenarnya meningkat, tetapi dialihkan menjadi kepedulian sosial. Menikmati Hidup bernilai tinggi karena saat terinveksi memiliki harapan hidup yang tinggi, sehingga mendorong diri untuk menggunakan gaya hidup sehat. Kebiasaan beraktivitas fisik, Kebiasaan menjalankan hal rutin ,Kebiasaan asupan nutrisi, Kebiasaan yang membahayakan kesehatan, Dijalankan kepada lebih banyak sampel, masih dinilai rendah dan kesadaran baru meningkat seiiring terinveksi virus.
Desarrollo de las competencias de lectoescritura en estudiantes universitarios a través del uso de herramientas de la web 2.0
Authors: Estrada Arango Marcela Patricia , Afanador Ortiz Omar Alejandro 
Published: October 2022

Ante las deficiencias presentadas por los jóvenes estudiantes recién ingresados a la educación superior en el desarrollo de competencias genéricas y transversales como la lectura y la escritura, las cuales han sido evidenciadas a nivel mundial, nacional y local a través de la realización de pruebas internacionales como las Pruebas PISA, así como la incorporación de nuevas formas de leer que involucran el uso de las nuevas tecnologías de la información y la comunicación, TIC; los profesores de hoy deben incluir en sus metodologías de clase, el uso de estas tecnologías para el desarrollo y la evaluación de las competencias comunicativas de sus estudiantes. Es por esto que la presente investigación busca evaluar estas nuevas estrategias didácticas aplicadas en el aula de clase para el desarrollo de las habilidades de lectura y escritura mediante la utilización de herramientas web 2.0. Asimismo, los resultados de este estudio ayudarán a crear una mayor consciencia entre los profesores sobre la necesidad de incorporar el uso de las TIC entres sus estrategias pedagógicas como resultado de un cambio en los viejos paradigmas de la educación tradicional, en los que el estudiante es el protagonista principal de su proceso de aprendizaje. Para ello, se realizará una exhaustiva revisión bibliográfica de investigaciones que evidencian como el uso de las herramientas de la Web 2.0 permiten el desarrollo de las competencias de lectoescritura de los niños y jóvenes.
Study on inefficient land use determination method for cities and towns from a city examination perspective
Authors: Jiao Hong , Huang Jiali 
Published: October 2022

Abstract
With the rapid advancement of urbanisation process, the total development of urban construction land is restricted, and the inefficient, extensive and sprawling traditional urbanisation mode is hard to sustain, bringing current incremental planning-based city development mode to gradually convert to stock planning. Under the background of stock planning, the inefficient urban land becomes the first choice for potential excavation and land vitalisation. Besides, under the background of new urbanisation construction, judging inefficient urban land and comprehensively boosting the redevelopment of those lands is the optimal path to promote land saving and intensive use. This paper starts from city examination, extracts the indexes from city examination for judging inefficient urban land use, and analyses urban construction land by land block. Then, the YAAHP software is used to determine the weights of indexes, and actual case is taken into the weights of various factors for analysis, so as to obtain the land use efficiency score of each land block and the entire city. The land block getting a low score will be renovated and transformed, which is an approach for improving land use efficiency and land intensiveness with the lowest cost; in the process of establishing an inefficient urban land use index system, the indexes of city examination are also supplemented and perfected, providing an optimal solution for future identification and determination of inefficient urban land use.
A Sentiment Analysis Method Based on Bidirectional Long Short-Term Memory Networks
Authors: Zhang Haifei , Xu Jian , Lei Liting , Jianlin Qiu , Alshalabi Riyad 
Published: October 2022

Abstract
Although the traditional recurrent neural network (RNN) model can cover the time information of the whole sentence theoretically, the gradient is dominated by the short-term gradient, and the long-term gradient is very small, which makes it difficult for the model to learn the long-distance information, and thus the effect of RNN on long text sentence recognition is poor. The long short-term memory network (LSTM) introduces the gate mechanism, especially the forgetting gate, which improves the disappearance of the gradient of RNN. Therefore, LSTM can store long text information and remove or increase the ability of information interaction by adding gate structure, which has natural advantages for long text processing. Based on the word vector matrix of GloVe model, on the open-source comment sentiment140 data set, we use the TensorFlow framework to construct the LSTM neural network and divide the data into the training set and test set based on the ratio of 4:1, design and implement the sentiment analysis published by Twitter users based on LSTM model, and then propose the bidirectional LSTM (Bi-LSTM) sentiment analysis method. The experimental results show that the accuracy of bidirectional LSTM is higher than that of unidirectional LSTM in sentiment analysis.
Research on the construction of early warning model of customer churn on e-commerce platform
Authors: Fu Wei 
Published: October 2022

Abstract
The construction of early warning model of customer churn in e-commerce platform can help e-commerce enterprises in China to strengthen the risk prevention of customer churn, improve efficiency of customer management and resolve the crisis of customer churn. Therefore, this paper analyses the definition basis and evaluation method of customer churn, and clarifies the function and content of early warning customer churn. By using the K-means clustering analysis of sample data, the early warning level of customer churn risk is categorized. By taking the established index system data as the input layer data of neural network, the early warning model of customer churn risk of e-commerce platform based on neural network is constructed. The test results show that the accuracy of the model is 100%, which can provide reference for the early warning research of customer churn risk in the e-commerce industry of China.
Research on threat assessment problems of island air defence system based on the leader-follower model
Authors: Wang Y. , Cheng Y. , Shan X. , Mou J. J. , Zhou L. , Salama Mohamed 
Published: October 2022

Abstract
To study the command and control system in an island air defence system under the background of systemic conflict, this paper proposes a new modelling method based on the opinion dynamics leader-follower model to simulate the target threat assessment process in the command and control activities. Through example simulation, it is obtained that in a centralised command and control system, a command post (CP)-led model can provide the most accurate threat assessment results, but it consumes a longer time. While in a distributed command and control system, a model without a leader can provide a target threat value accurately and quickly. The consistency of simulation results and actual situation indicates that, at present, under a high degree of battlefield information sharing, it is necessary to down-pass the authority of the CP to improve operational efficiency. In summary, the proposed model can comprehensively reflect the process that the island air defence system assesses the threat of an attacking target, and it gives a new idea for investigating the command and control procedure and system of the island air defence system.
Studying a matching method combining distance proximity and buffer constraints
Authors: Wang Fengping 
Published: October 2022

AbstractIn order to achieve fast matching of global navigation satellite system (GNSS) track data and vector road network data, a rough-to-fine matching method combining distance proximity and buffer constraints is studied. The GNSS track data is preprocessed: A rasterisation method is used to eliminate the low-quality track data and obtain the binary graph; then, the road centrelines are obtained by a skeleton extraction method; the thinning data is converted into line segments or closed lines starting from nodes by the boundary tracking method, which is stored in the vector form. Finally, the boundary tracking method is used to convert the thinning data into closed lines and store them in the vector form. A two-layer rough-to-fine matching strategy is applied: First, the changing state of the road arc is determined according to the rough matching strategy of road segment distance. Next, according to the buffer constraint criterion, a rectangular or circular buffer is selected to achieve precise matching of road network data. The results show that the proposed method has good matching effect, which is especially suitable for working with more GNSS track data.
Asymptotic stability problem of predator–prey system with linear diffusion
Authors: Li Yanqiu , Gao Hailong , Sun Chang , Sedki Ali 
Published: October 2022

Abstract
As the primary killer of health, the class of infectious diseases is the greatest threat to humanity. At present, international methods of studying the large-scale spatial transmission of sudden infectious diseases from the perspective of dynamics can be divided into two categories. On the one hand, top international biomedical and medical teams discuss the restraining effects of some prevention and control strategies on infectious diseases, such as smallpox, malaria, hand, foot and mouth disease and pandemic influenza, from the perspective of pragmatism. On the other hand, researchers in theoretical physics and network science tend to use compound population network models to explore the internal dynamic mechanism of spatial transmission of infectious diseases. This paper establishes a Lotka–Volterra dispersal predator–prey system in a patchy environment. It shows the existence of model boundary equilibria and asymptotic stability under an appropriate condition. This paper adopts the method of global Lyapunov function and the results of graph theory. We also consider a predator–prey dynamical model in a patchy environment, where the prey and predator individuals in each compartment can travel among n patches.
Continuing Education Network Data Center Model Based on Fractional Differential Mathematical Equations
Authors: Wu Lei 
Published: October 2022

Abstract
Continuing education platforms are faced with problems such as the aging of online learning platforms and backward technology. The data center network is an essential infrastructure supporting the big data and cloud computing platform continuing education network. It is widely used for data-intensive and massively parallel computing tasks. The paper proposes a continuing education network data center management model based on this research background. At the same time, this paper proposes a real-time encryption method for distributed data in a multi-layer differential continuing education network based on fractional differential mathematical equations. The experimental study found that the fractional differential mathematical equations method can effectively control the stability of data transmission of continuing education receipt networks. This algorithm improves the efficiency of network data operation and controls the cost of encryption. The research results of this paper provide technical support for network education.
Economic Research on Multiple Linear Regression in Fruit Market inspection and Management
Authors: Zhang Fan 
Published: October 2022

Abstract
Based on the hypothesis test of multiple regression models, this paper discusses three different implementation methods of permutation tests and analyzes their manifestations and application effects in regularization models. The two implementation methods are used for the first time to discover the Markov edge of the regularization model, which expands the application range of the replacement test method. The fruit market uses an e-commerce platform to connect farmers, leading enterprises, financial institutions, and logistics companies. Using information technology as a means, it uses the network to implement online transactions, online financing, online pledges, and online management to achieve information. New flow of finance, capital flow and logistics. Based on the theory of information asymmetry, system theory, and synergy theory, it is found that there is a linkage effect between the online supply of fresh agricultural products and the risk system. Various interest systems have affected the risks of online supply of fresh agricultural products by affecting the risks of financing companies, e-commerce platform risks, financial institution risks and other risks. The quantitative ridge regression model can well solve the shortcomings that MRLM-P cannot be applied to collinear data sets; on low-dimensional data sets, there is a classic regularization model of Markov edge discovery performance similar to MRLM-P; permutation The two newly-implemented implementation methods are slightly inferior to the previous implementation methods; Markov edge theory can effectively perform “dimensional reduction” operation on the spectral information matrix, and both correction models can well reflect the spectral information of the detection object. Dependence. information on platform financing companies, and assume regulatory responsibilities in the transaction process. Financial institutions should also carefully select cooperative e-commerce platforms and determine the appropriate financing rate based on the results of risk prediction, so as to effectively reduce the risk of online supply is of great significance.
On (r; t; s)-nuclear polynomials
Authors: Bougoutaia Amar , Belacel Amar , Hamdi Halima 
Published: October 2022

Abstract
In this work we extend the concept of (r; t; s)-nuclear operators presented by Lapresté in (Studia math., T. LVII. 1976, 47 – 83) to n-homogeneous polynomials. Factorization and inclusion properties are described. Under some conditions, we also characterize the topological dual of the studied space.
Limit points for descent spectrum of operator matrices
Authors: Boua H. , Karmouni M. , Tajmouati A. 
Published: October 2022

Abstract
In this paper, we investigate the limit points set of descent spectrum of upper triangular operator matrices

M

C

=

(

A

C

0

B

)

{M_C} = \left( {\matrix{A \hfill & C \hfill \cr 0 \hfill & B \hfill \cr } } \right)

. We prove that acc(σdes
(MC
)) ∪ Waccσdes

= acc(σdes
(A)) ∪ acc(σdes
(B)) where Waccσdes
is the union of certain holes in acc(σdes
(MC
)), which happen to be subsets of acc(σasc
(B)) ∩ acc(σdes
(A)). Furthermore, several sufficient conditions for acc(σdes
(MC
)) = acc(σdes
(A)) ∪ acc(σdes
(B)) holds for every C ∈ ℬ(Y, X) are given.
Magnesia Composites Formation as a Result of Furniture Production Wood Waste Processing
Authors: Miryuk Olga 
Published: October 2022

Abstract
The article outlines the problem of accumulation of short-fibered waste generated during chipboard sawing. Intense impact on the material determines a high level of technological availability of wood waste. The research objective is to create magnesia composite materials for various purposes based on chipboard processing waste. Moulding sands containing caustic magnesite, fly ash, aluminosilicate ash microsphere, wood waste and magnesium chloride solution have been studied. Change in the ratio of moulding sands’ components provided production of finely dispersed composite material, and granules of cylindrical and spherical shapes. Composite materials of coarse-pored structure have been developed on the basis of magnesia granules and hybrid magnesia-ash binder. Combination of layers of finely dispersed and coarse-pored materials has been proposed to form composites of variotropic structure with density 780–840 kg/m3 and strength 9.7–11.9 MPa. Combined structures’ stability is achieved due to the high adhesive ability of magnesia binders and genetic commonality of various layers.