bluuebunny/crossref_metadata_2025_split huggingface dataset:
The dynamic relationships among growth in the logistics industry, energy consumption, and carbon emission: recent evidence from China
Authors: Wang Xiaole , Dong Feng 
Published: September 2022

AbstractIn the post-pandemic era, there is a need to achieve the dynamic and coordinated development of growth in the logistics industry, energy consumption, and carbon dioxide (CO2) emissions in China’s four major economic regions to ensure the high-quality development of green logistics in China. Using the data indicators of growth in the logistics industry, energy consumption, CO2 emissions, and fixed asset investment in 30 Chinese provinces from 2004 to 2018, a panel vector autoregressive model was established for the four major economic development regions of central, east, west, and northeast China. The model coefficients were estimated using the systematic generalized matrix estimation method (System-GMM), which was evaluated by a Granger causality test. The model coefficients were estimated using the System-GMM method, and the dynamic relationships between growth in the logistics industry, energy consumption, and CO2 emissions was obtained through a Granger causality test, impulse response analysis, and variance decomposition. The results showed that the growth of the logistics industry in the four major economic regions had a positive impact on energy consumption and CO2 emissions, with the degree of contribution being smaller in the east and central regions, and larger in the west and northeast regions. Fixed asset investment had a negative impact on energy consumption and CO2 emissions, with the degree of contribution being largest in the northeast, larger in the east than in the central region, and smallest in the west. Finally, according to the conclusion and analysis of the results, from the aspects of government guidance and policy support, low-carbon logistics technology innovation, and infrastructure investment, we propose the need to pay attention to the role of government guidance, accelerate the pace of energy adjustments using the structure of the logistics industry, and increase the investment in renewable energy infrastructure, while focusing on strengthening the cooperation between regions and exploring new models of low-carbon logistics development between regions. This will ensure that the country achieves its goal of reaching peak carbon by 2030 and carbon neutrality by 2060.
Some homotypical closed varieties of semigroups
Authors: Nabi M. , Ahanger S. A. , Bano S. , Shah A. H. 
Published: September 2022

AbstractWe show that for each$$n\ge 2\in {\mathbb {N}}$$n≥2∈N, the varieties$${\mathbb {V}}_{n}=[x_1x_2x_3=x_1^nx_{i_1}x_{i_2}x_{i_3}]$$Vn=[x1x2x3=x1nxi1xi2xi3]whereiis any non-trivial permutation of$$\{1,2,3\}$${1,2,3}are closed. Further, we show that for each$$n\in {\mathbb {N}}$$n∈N, the varieties$${\mathcal {V}}_{n}=[x_1x_2x_3=x_1^nx_{i_1}x_{i_2}x_{i_3}]$$Vn=[x1x2x3=x1nxi1xi2xi3]whereiis any non-trivial permutation of$$\{1,2,3\}$${1,2,3}other than the permutation (231) are closed.
Prediction of high-speed train delay propagation based on causal text information
Authors: Liu Qianyi , Wang Shengjie , Li Zhongcan , Li Li , Zhang Jun , Wen Chao 
Published: September 2022

AbstractThe delay-causing text data contain valuable information such as the specific reasons for the delay, location and time of the disturbance, which can provide an efficient support for the prediction of train delays and improve the guidance of train control efficiency. Based on the train operation data and delay-causing data of the Wuhan–Guangzhou high-speed railway, the relevant algorithms in the natural language processing field are used to process the delay-causing text data. It also integrates the train operating-environment information and delay-causing text information so as to develop a cause-based train delay propagation prediction model. The Word2vec model is first used to vectorize the delay-causing text description after word segmentation. The mean model or the term frequency-inverse document frequency-weighted model is then used to generate the delay-causing sentence vector based on the original word vector. Afterward, the train operating-environment features and delay-causing sentence vector are input into the extreme gradient boosting (XGBoost) regression algorithm to develop a delay propagation prediction model. In this work, 4 text feature processing methods and 8 regression algorithms are considered. The results demonstrate that the XGBoost regression algorithm has the highest prediction accuracy using the test features processed by the continuous bag of words and the mean models. Compared with the prediction model that only considers the train-operating-environment features, the results show that the prediction accuracy of the model is significantly improved with multiple regression algorithms after integrating the delay-causing feature.
A novel dynamic reference point model for preference-based evolutionary multiobjective optimization
Authors: Lin Xin , Luo Wenjian , Gu Naijie , Zhang Qingfu 
Published: September 2022

AbstractIn the field of preference-based evolutionary multiobjective optimization, optimization algorithms are required to search for the Pareto optimal solutions preferred by the decision maker (DM). The reference point is a type of techniques that effectively describe the preferences of DM. So far, the reference point is either static or interactive with the evolutionary process. However, the existing reference point techniques do not cover all application scenarios. A novel case, i.e., the reference point changes over time due to the environment change, has not been considered. This paper focuses on the multiobjective optimization problems with dynamic preferences of the DM. First, we propose a change model of the reference point to simulate the change of the preference by the DM over time. Then, a dynamic preference-based multiobjective evolutionary algorithm framework with a clonal selection algorithm (ĝa-NSCSA) and a genetic algorithm (ĝa-NSGA-II) is designed to solve such kind of optimization problems. In addition, in terms of practical applications, the experiments on the portfolio optimization problems with the dynamic reference point model are tested. Experimental results on the benchmark problems and the practical applications show that ĝa-NSCSA exhibits better performance among the compared optimization algorithms.
A Public–Private Insurance Model for Disaster Risk Management: An Application to Italy
Authors: Perazzini Selene , Gnecco Giorgio , Pammolli Fabio 
Published: September 2022

AbstractThis paper proposes a public–private insurance model for earthquakes and floods in Italy in which the insurer and the government co-operate in risk financing. Our model departs from the existing literature by describing an insurance scheme intended to relieve the financial burden that natural events place on governments, while at the same time assisting individuals and protecting the insurance business. Hence, the business aims at maximizing social welfare rather than profits. Given the limited amount of data available on natural risks, expected losses per individual are estimated through risk-modeling. In order to evaluate the insurer’s loss profile, spatial correlation among insured assets is included. Our findings suggest that, when not supported by the government, private insurance might either financially over-expose the insurer or set premiums so high that individuals would fail to purchase policies. This evidence is stronger for earthquake risks, but it is considerable for floods too. We found that jointly managing the two perils alleviates the burden on public capitals by lowering the amount of capitals required and by keeping the probability of additional capital injections into the insurance reserves relatively low.
Humidity Sensing of Stretchable and Transparent Hydrogel Films for Wireless Respiration Monitoring
Authors: Liang Yuning , Ding Qiongling , Wang Hao , Wu Zixuan , Li Jianye , Li Zhenyi , Tao Kai , Gui Xuchun , Wu Jin 
Published: September 2022

AbstractRespiratory monitoring plays a pivotal role in health assessment and provides an important application prospect for flexible humidity sensors. However, traditional humidity sensors suffer from a trade-off between deformability, sensitivity, and transparency, and thus the development of high-performance, stretchable, and low-cost humidity sensors is urgently needed as wearable electronics. Here, ultrasensitive, highly deformable, and transparent humidity sensors are fabricated based on cost-effective polyacrylamide-based double network hydrogels. Concomitantly, a general method for preparing hydrogel films with controllable thickness is proposed to boost the sensitivity of hydrogel-based sensors due to the extensively increased specific surface area, which can be applied to different polymer networks and facilitate the development of flexible integrated electronics. In addition, sustainable tapioca rich in hydrophilic polar groups is introduced for the first time as a second cross-linked network, exhibiting excellent water adsorption capacity. Through the synergistic optimization of structure and composition, the obtained hydrogel film exhibits an ultrahigh sensitivity of 13,462.1%/%RH, which is unprecedented. Moreover, the hydrogel film-based sensor exhibits excellent repeatability and the ability to work normally under stretching with even enhanced sensitivity. As a proof of concept, we integrate the stretchable sensor with a specially designed wireless circuit and mask to fabricate a wireless respiratory interruption detection system with Bluetooth transmission, enabling real-time monitoring of human health status. This work provides a general strategy to construct high-performance, stretchable, and miniaturized hydrogel-based sensors as next-generation wearable devices for real-time monitoring of various physiological signals.
Log-concavity in powers of infinite series close to $$(1 - z)^{-1}$$
Authors: Zhang Shengtong 
Published: September 2022

AbstractIn this paper, we use the analytic method of Odlyzko and Richmond to study the log-concavity of power series. If $$f(z) = \sum _n a_nz^n$$

f

(
z
)

=

∑
n

a
n

z
n

is an infinite series with $$a_n \ge 1$$

a
n

≥
1

and $$a_0 + \cdots + a_n = O(n + 1)$$

a
0

+
⋯
+

a
n

=
O

(
n
+
1
)

for all n, we prove that a super-polynomially long initial segment of $$f^k(z)$$

f
k

(
z
)

is log-concave. Furthermore, if there exists constants $$C > 1$$

C
>
1

and $$\alpha < 1$$

α
<
1

such that $$a_0 + \cdots + a_n = C(n + 1) - R_n$$

a
0

+
⋯
+

a
n

=
C

(
n
+
1
)

-

R
n

where $$0 \le R_n \le O((n + 1)^{\alpha })$$

0
≤

R
n

≤
O

(

(
n
+
1
)

α

)

, we show that an exponentially long initial segment of $$f^k(z)$$

f
k

(
z
)

is log-concave. This resolves a conjecture proposed by Letong Hong and the author, which implies another conjecture of Heim and Neuhauser that the Nekrasov-Okounkov polynomials $$Q_n(z)$$

Q
n

(
z
)

are unimodal for sufficiently large n.
On a hybrid continuum-kinetic model for complex fluids
Authors: Chertock A. , Degond P. , Dimarco G. , Lukáčová-Medvid’ová M. , Ruhi A. 
Published: September 2022

AbstractIn the present work, we first introduce a general framework for modelling complex multiscale fluids and then focus on the derivation and analysis of a new hybrid continuum-kinetic model. In particular, we combine conservation of mass and momentum for an isentropic macroscopic model with a kinetic representation of the microscopic behavior. After introducing a small scale of interest, we compute the complex stress tensor by means of the Irving-Kirkwood formula. The latter requires an expansion of the kinetic distribution around an equilibrium state and a successive homogenization over the fast in time and small in space scale dynamics. For a new hybrid continuum-kinetic model the results of linear stability analysis indicate a conditional stability in the relevant low speed regimes and linear instability for high speed regimes for higher modes. Extensive numerical experiments confirm that the proposed multiscale model can reflect new phenomena of complex fluids not being present in standard Newtonian fluids. Consequently, the proposed general technique can be successfully used to derive new interesting systems combining the macro and micro structure of a given physical problem.
A retrospective on research visits of Paul Butzer’s Aachen research group to Eastern Europe and Tenerife
Authors: Butzer Paul L. , Stens Rudolf L. 
Published: September 2022

AbstractOur article “A retrospective on research visits of Paul Butzer’s Aachen research group to North America and Western Europe” [1] concerned the research visits, contacts and conference participations of members of the Chair “Lehrstuhl A für Mathematik” at Aachen to North America and Western Europe. This paper focuses on such research visits of the Aachen Chair and its group to Eastern Europe as well as to Tenerife. The Epilogue treats our top students, different research interests, and conferences on the occasion of PLB’s birthday anniversaries.
Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chains
Authors: Mizuno Shinya , Ohba Haruka 
Published: September 2022

AbstractVarious measures have been devised to reduce crowdedness and alleviate the transmission of COVID-19. In this study, we propose a method for reducing intra-facility crowdedness based on the usage of Wi-Fi networks. We analyze Wi-Fi logs generated continually in vast quantities in the ever-expanding wireless network environment to calculate the transition probabilities between the nodes and the mean stay time at each node. Subsequently, we model this data as a continuous-time Markov chain to determine the variance of the stationary distribution, which is used as a metric of intra-facility crowdedness. Therefore, we solved the optimization problem by using stay rate as a parameter and developed a numerical solution to minimize the intra-facility crowdedness. The optimization results demonstrate that the intra-facility crowding is reduced by approximately 30%. This solution can practically reduce intra-facility crowdedness as it adjusts people’s stay times without making any changes to their movements. We categorized Wi-Fi users into a set of classes using the k-means method and documented the behavioral characteristics of each class to help implement class-specific measures to reduce intra-facility crowdedness, thus enabling facility managers to implement effective countermeasures against crowdedness based on the circumstances. We present a detailed description of our computing environment and workflow used for the basic analysis of vast quantities of Wi-Fi logs. We believe this research will be useful for analysts and facility operators because we have used general-purpose data for analysis.
On the ruin probability of a generalized Cramér–Lundberg model driven by mixed Poisson processes
Authors: Tomita Masashi , Takaoka Koichiro , Ishizaka Motokazu 
Published: September 2022

AbstractWe propose a generalized Cramér–Lundberg model of the risk theory of non-life insurance and study its ruin probability. Our model is an extension of that of Dubey (1977) to the case of multiple insureds, where the counting process is a mixed Poisson process and the continuously varying premium rate is determined by a Bayesian rule on the number of claims. We use two proofs to show that, for each fixed value of the safety loading, the ruin probability is the same as that of the classical Cramér–Lundberg model and does not depend on either the distribution of the mixing variable of the driving mixed Poisson process or the number of claim contracts.
The Latinized Dragon: China and Latin America in the Twenty-First Century
Authors: Yang Hengyi , Arana Araya Ignacio 
Published: September 2022

This essay reviews the following works:China y América Latina en una nueva fase: Desafíos en el siglo XXI. Edited by Pamela Aróstica and Walter Sánchez. Santiago de Chile: Editorial Universitaria, 2019. Pp. 270. ISBN: 9789561126268.China–Latin America Relations in the 21st Century: The Dual Complexities of Opportunities and Challenges. Edited by Raúl Bernal-Meza and Li Xing. Cham, Switzerland: Palgrave Macmillan, 2020. Pp. 289. $79.64 hardcover. ISBN: 9783030356132.Sino–Latin American Economic and Trade Relations. Edited by Chai Yu and Yue Yunxia. Singapore: Springer, 2019. Pp. 193. $64.50 hardcover. ISBN: 9789811334047.China, the United States, and the Future of Latin America. Edited by David B. H. Denoon. New York: New York University Press, 2017. Pp. 432. $39.00 paperback. ISBN: 9781479821648.Globalizing Patient Capital: The Political Economy of Chinese Finance in the Americas. By Stephen B. Kaplan. New York: Cambridge University Press, 2021. Pp. 390. $84.99 hardcover. ISBN: 9781107182318.Dependency in the Twenty-First Century? The Political Economy of China-Latin America Relations. By Barbara Stallings. Cambridge: Cambridge University Press, 2020. Pp. 75. $20.00 paperback. ISBN: 9781108793032.Dragonomics: How Latin America Is Maximizing (or Missing Out on) China’s International Development Strategy. By Carol Wise. New Haven, CT: Yale University Press, 2020. Pp. 328. $36.57 hardcover. ISBN: 9780300224092.
NOVATION AND ADVANCE CONSENT
Authors: Lau Kwan Ho 
Published: September 2022

AbstractProfessor Goode once observed that “Novation need not be left to ad hoc agreement; it is open to the parties to provide for it in advance and in particular to establish a contractual mechanism by which novation takes place automatically on the occurrence of a designated act or event”. This deceptively straightforward proposition is examined in the present article. It explores the legal footing for, and the risks in adopting a pristine version of, the proposition, and considers possible safeguards that may be incorporated within the process of scrutiny, if in any case there arises concern over the effectiveness of a novation that is undertaken pursuant to consent given in advance.
A new species of the genus Paurodontella Husain & Khan, 1968 (Nematoda: Hexatylina, Sphaerularioidea) with its molecular phylogenetic study
Authors: Esmaeili Mehrab , Heydari Ramin 
Published: September 2022

Abstract
A new species of the genus Paurodontella, Paurodontella minora n. sp., collected from Alborz Province, Iran, is described and illustrated based on morphological and molecular characters. The new species is characterized by its body length of 393 (350–438) μm and 380 (n = 1) μm in female and male, respectively, 6–7 incisures in lateral field, lip region annulated and continuous with body contour, and total stylet 6.1 (5.5–7.0) μm long. Basal pharyngeal bulb with small posterior extension projecting reaching to the intestine. Excretory pore situated at the level of basal pharyngeal bulb region, no post-uterine sac, conical tail, narrowing to a rounded tip, and rare male with slender tylenchoid spicules and adanal bursa. The new species comes close in morphology and morphometrics to four known species of the genus, namely Paurodontella asymmetrica, Paurodontella balochistanica, Paurodontella densa and Paurodontella niger. In molecular phylogenetic analyses using D2–D3 expansion segments of the large subunit rDNA gene sequence, P. minora n. sp. formed a major clade with species of the genera in the family Sphaerulariidae (Paurodontella, Paurodontoides, Veleshkinema and Sphaerularia) and a sister relation with the members in the families Neotylenchidae and Anguinidae with the same clade support values in Bayesian inference.
Stages of sight translation: Evidence from eye movements
Authors: Lijewska Agnieszka , Chmiel Agnieszka , Inhoff Albrecht W. 
Published: September 2022

AbstractThe aim of the study was to investigate the coordination of source text comprehension and translation in a sight translation task. The study also sought to determine whether translation strategies influence sight translation performance. Two groups of conference interpreters—professionals and trainees—sight translated English sentences into Polish while their eye movements and performance were monitored. Translation demands were manipulated by the use of either high- or low-frequency critical words in the sentences. Translation experience had no effect on first-pass viewing durations, but experts used shorter re-view durations than trainees (especially in the low-frequency condition). Professionals translated more accurately and with less pausing than trainees. Translation in the high-frequency condition was more accurate and had shorter pauses than in the low-frequency condition. Critical word translation accuracy increased with the translation onset latency (TOL) for individual sentences, and pause durations were relatively short when TOLs were either relatively short or long. Together, these findings indicate that, in sight translation, the initial phase of normal reading for comprehension is followed by phases in which reading and translation co-occur, and that translation strategy and translation performance are linked.
Local philanthropy and the transformation of culture in Oaxaca, Mexico
Authors: Reisman Leah Margareta Gazzo 
Published: September 2022

AbstractScholars suggest that philanthropic activity in Latin America is limited. However, this suggestion overlooks the potential for philanthropists focused on specific localities to significantly influence the places in which they work. In this article, I explore the case of cultural philanthropy in Oaxaca, Mexico to advance our understanding of philanthropy in Latin America by highlighting the work of operating foundations funding locally with little state regulation. In Oaxaca, a small number of philanthropists have transformed the cultural sector by building and managing a proliferation of cultural institutions. They have imbued these institutions with a unique vision for Oaxacan culture, derived from a combination of four philanthropic goals – public access, knowledge production, Western aesthetic value, and efficiency, which have arisen via social and professional networks between philanthropists. Oaxaca’s philanthropists have advanced their vision for Oaxacan culture by critiquing and compelling action by the state’s government, thus solidifying their impact on Oaxaca. This case study shows the importance of a local lens in describing philanthropy in Latin America, highlights the importance of social and professional networks in shaping local philanthropic work, and illuminates the mechanisms by which philanthropists working locally can expand their impact on cultural heritage by compelling state action.