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During the stage of high-quality development, the orderly promotion of citizenization of the floating population is crucial to ensure the high-quality population development and sustainable socio-economic growth of our country. In this study, dynamic monitoring survey data of China's floating population in 2017 were referenced to categorize the settlement intentions of this population group into three types (viz., short term, long term, and permanent) according to their expected residence duration. Subsequently, the mobility and residential characteristics of this population were analyzed by using a multinomial logistic regression model to examine differences in their demographic and family characteristics, mobility patterns, economic status, and social integration. The findings are as follows: (1) Dongguan and Huizhou, located on the east bank of the Pearl River and primarily driven by manufacturing industries, have a significant proportion of populations with short-term settlement intentions. By contrast, cities with lower living costs or more comprehensive services are more likely to attract long-term residents. (2) The inter-provincial floating population tends to flow into Shenzhen, with individuals migrating a short distance being more predominant. Long-distance inter-provincial migrants have a stronger intention to settle permanently. Within the province, the floating population tends to flow into Guangzhou, displaying a certain degree of geographical proximity in city choices and a tendency to stay long term or permanently. (3) Groups characterized by female sex, older age, higher educational level, marital status, longer inflow time, non-work-related inflow reasons, and higher income level tend to take up long-term or permanent residence at their destination. Conversely, lower levels of these characteristics are associated with shorter stays. Higher degrees of social integration can promote permanent settlement intentions among inter-provincial migrants compared with the effect on their intra-provincial counterparts. (4) Each factor has different effects on groups with the same settlement intention within and outside the province, as reflected in the varying impacts of educational level, marital status, income level, and migration reasons on inter- and intra-provincial floating populations. This study breaks through the traditional binary division model of settlement intentions, enhancing our understanding of floating populations through the "short-term residence–long-term residence–permanent settlement" categorization method. The Pearl River Delta region, one of the areas with the largest concentration of the floating population and the highest degree of economic development in China, serves as a critical case study. Understanding the flow and residence patterns of this population in this region will help government departments implement relevant policies and safeguarding measures tailored to different settlement intentions, thereby improving urban operational efficiency.

High-Entropy Oxides (HEOs) are emerging as promising anode materials for lithium-ion batteries (LIBs) due to their stable crystal structure and high theoretical capacity. However, the limited understanding of their intrinsic crystal structure and lithium storage mechanism has hindered their further development and application. In this study, (Y0.2La0.2Ce0.2Nd0.2Ca0.2)2Sn2O7 (M2Sn2O7) nanoparticles are successfully synthesized using a hydrothermal method and then applied as an advanced anode material for LIBs. The oxygen vacancies induced by high-entropy chemistry result in the M2Sn2O7 HEO exhibiting excellent cycle stability, achieving high reversible capacities of 574.2 and 430.4 mA h g−1 after 100 cycles at 0.1 A g−1 for half and full-cell lithium-ion batteries, respectively. This research highlights the potential of HEOs with stable structures and excellent performance as promising candidates for LIB anode materials. [ABSTRACT FROM AUTHOR]

Copyright of Professional Geographer is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This study aims to assess the pitting resistance of austenitic stainless steel welded joints fusion zone (FZ) with high density of inclusions before and after surface treatment, including potentiostatic pulse technique (PPT) and pickling. Design/methodology/approach: The potentiodynamic polarization tests and critical pitting temperature tests were carried out for estimating pitting resistance. The PPT and pickling were performed as surface treatment. Scanning electron microscope (SEM) and energy dispersive spectrometer were used for characterize the microstructure and elemental distribution. Electron back-scattered diffraction (EBSD) was used to assess the portion of phases and morphology of grains. Findings: The weld metal exhibits a higher degree of alloying compared to the base metal, and it contains d-phase and sulfur-containing inclusions. Sulfur-containing inclusions serve as initiation sites for pitting, and they diminish the pitting resistance of weld metal. Both PPT and pickling can remove sulfur-containing inclusions, but PPT causes localized dissolution of the weld metal matrix around the inclusions, while pickling does not. Because of the high density of inclusions, certain pits initiated by PPT are significantly deeper, which makes the formation of stable pitting easier. Because of the high density of inclusions, certain pits initiated by the PPT are deeper. This characteristic facilitates the progression of these initial defects into fully developed, stable pits. Originality/value: Analysis of pitting initiation in shielded metal arc welding FZ with PPT and ex situ SEM tracking observation. Explanation of why the PPT surface treatment is not able to enhance the pitting resistance of stainless steel with a high inclusion density. [ABSTRACT FROM AUTHOR]

Extended warranty services have become increasingly important for both manufacturers and retailers, offering avenues for new profit sources and growth opportunities. Focusing on the multiple effects of product quality, this study develops a two-period supply chain decision model to analyze the effects of product quality, pricing, and inventory management in the context of extended warranty services. Using a Stackelberg dynamic game model, this study examines the interaction between a manufacturer and a dominant retailer who provides extended warranties. The results indicate significant differences in optimal decisions between centralized and decentralized supply chains, especially concerning pricing and inventory control. Introducing a "quality cost-sharing" contract enhances product quality and improves coordination, leading to increased profits for both the manufacturer and the retailer. Numerical simulations confirm that the cost-sharing contract effectively balances product quality improvements with supply chain profitability. [ABSTRACT FROM AUTHOR]

Cold stress affects the seed germination and early growth of winter rapeseed, leading to yield losses. We employed transmission electron microscopy, physiological analyses, metabolome profiling, and transcriptome sequencing to understand the effect of cold stress (0 °C, LW) on the cotyledons of cold-tolerant (GX74) and -sensitive (XY15) rapeseeds. The mesophyll cells in cold-treated XY15 were severely damaged compared to slightly damaged cells in GX74. The fructose, glucose, malondialdehyde, and proline contents increased after cold stress in both genotypes; however, GX74 had significantly higher content than XY15. The pyruvic acid content increased after cold stress in GX74, but decreased in XY15. Metabolome analysis detected 590 compounds, of which 32 and 74 were differentially accumulated in GX74 (CK vs. cold stress) and XY15 (CK vs. cold stressed). Arachidonic acid and magnoflorine were the most up-accumulated metabolites in GX74 subjected to cold stress compared to CK. There were 461 and 1481 differentially expressed genes (DEGs) specific to XY15 and GX74 rapeseeds, respectively. Generally, the commonly expressed genes had higher expressions in GX74 compared to XY15 in CK and cold stress conditions. The expression changes in DEGs related to photosynthesis-antenna proteins, chlorophyll biosynthesis, and sugar biosynthesis-related pathways were consistent with the fructose and glucose levels in cotyledons. Compared to XY15, GX74 showed upregulation of a higher number of genes/transcripts related to arachidonic acid, pyruvic acid, arginine and proline biosynthesis, cell wall changes, reactive oxygen species scavenging, cold-responsive pathways, and phytohormone-related pathways. Taken together, our results provide a detailed overview of the cold stress responses in rapeseed cotyledons. [ABSTRACT FROM AUTHOR]

Copyright of South Architecture / Nanfang Jianzhu is the property of South Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sustainability of the earth depends on renewable energy. Forecasting the output of renewable energy has a big impact on how we operate and manage our power networks. To guarantee grid dependability and permanence and to lower the danger and expense of the energy market and systems, accurate forecasting of renewable energy output is essential. Researchers have been drawn to this topic by deep learning's recent success in a variety of applications, and its bright future is shown in the variety of proposed approaches and the rising number of publications. This paper reviews deep learning-based solar and wind energy forecasting research that has been published over the past five years, covering in-depth topics such as the data and datasets used in the reviewed works, data pre-processing techniques, deterministic and probabilistic techniques, and evaluation and comparison methods. To facilitate methodological comparisons, the key traits of all the reviewed publications are compiled in tabular form. The field's existing difficulties and potential areas for future research are described. According to trends, recurrent neural network models, including those with long short-term memories and gated recurrent units, are second most frequently utilized in this sector behind hybrid forecasting models, with convolutional neural networks coming in third. We also observe an increase in interest in probabilistic and multistep forecasting techniques. Using the important learnings from this thorough study, we also create a comprehensive taxonomy of the research, which will, in our opinion, be essential for comprehending the cutting-edge and promoting innovation in this area. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Acute kidney injury (AKI) is a severe health problem associated with high morbidity and mortality rates. It currently lacks specific therapeutic strategies. This review focuses on the mechanisms underlying the actions of exosomes derived from different cell sources, including red blood cells, macrophages, monocytes, mesenchymal stem cells, and renal tubular cells, in AKI. We also investigate the effects of various exosome contents (such as miRNA, lncRNA, circRNA, mRNA, and proteins) in promoting renal tubular cell regeneration and angiogenesis, regulating autophagy, suppressing inflammatory responses and oxidative stress, and preventing fibrosis to facilitate AKI repair. Moreover, we highlight the interactions between macrophages and renal tubular cells through exosomes, which contribute to the progression of AKI. Additionally, exosomes and their contents show promise as potential biomarkers for diagnosing AKI. The engineering of exosomes has improved their clinical potential by enhancing isolation and enrichment, target delivery to injured renal tissues, and incorporating small molecular modifications for clinical use. However, further research is needed to better understand the specific mechanisms underlying exosome actions, their delivery pathways to renal tubular cells, and the application of multi-omics research in studying AKI. [ABSTRACT FROM AUTHOR]

Multiple gastrointestinal stromal tumors (GISTs) combined with cutaneous multiple neurofibromas are clinically rare. This paper presents a case of multiple gastrointestinal stromal tumors in the jejunumof a 68-year-oldmother, alongwith her daughter who also had coexisting cutaneous multiple neurofibromas. The mother had been experiencing repeated melena for over 2 years and had previously been diagnosed with multiple small intestinal masses at other hospitals. Additionally, her 42-year-old daughter was admitted to our department due to recurrent abdominal pain caused by cholecystolithiasis. The mother and daughter both exhibited multiple nodular masses of varying sizes on their skin, including the truncus, limbs, and face, which were diagnosed as neurofibromas. The mother underwent a partial excision of the jejunum and a lateral jejunojejunal anastomosis side-to-side, as well as excision of skin lesions in our department. The final diagnosis of wild-type GISTs associated with neurofibromatosis type 1 (NF1) was confirmed through postoperative pathology, immunohistochemistry, and genetic testing results. During preoperative gastrointestinal endoscopy and intraoperative laparoscopic exploration of the gastrointestinal tract, no obvious tumors were found in her daughter. A combination of patient observations and a review of relevant literature in the field suggests that when patients present with gastrointestinal symptoms and multiple irregular painless swellings in the skin, it is important to consider the possibility of an association with NF1 and GIST. Additionally, obtaining a detailed family history can save time and improve the diagnosis of patients with both NF1 and GIST. We recommend that even if there are no gastrointestinal manifestations of GISTs in the offspring of newly mutated NF1 patients, regular review of gastroenteroscopy, imaging examination, and long-term follow-up after middle age are still crucial for the early diagnosis and treatment of NF1-related GISTs. [ABSTRACT FROM AUTHOR]

The relationship between secularity or modernity and religious belief choices is a hot topic of academic concern. However, there has been scarce attention from the academic community regarding the religious belief choices and driving factors of China's Generation Z, who have grown up in a secular or modern society. In this paper, we use the Centrality of Religiosity Scale (CRS) and a modified Cost and Rewards Scale to measure this group's tendency towards "religious centrality", and investigate the inherent driving factors using logistic regression. The results show that the religiousness of China's Generation Z is higher than the overall level of religious beliefs in China. Their choice of religious beliefs is the result of a rational consideration and balance of "religious rewards", but most of them are not driven by the consideration of "afterlife rewards" as the supernatural core factor of religion. Instead, they are driven by the actual benefits brought by the choice of religious beliefs and the factors that affect these benefits, such as religious socialization. This conclusion validates the opinions of Stark and Finke, as well as Hartmut Rosa, and breaks the status quo of single research model and method in previous relevant studies. [ABSTRACT FROM AUTHOR]

By using CiteSpace software to create a knowledge map of authors, institutions and keywords, the literature on the spatio-temporal behavior of Chinese residents based on big data in the architectural planning discipline published in the China Academic Network Publishing Database (CNKI) was analyzed and discussed. It is found that there was a lack of communication and cooperation among research institutions and scholars; the research hotspots involved four main areas, including "application in tourism research", "application in traffic travel research", "application in work-housing relationship research", and "application in personal family life research". [ABSTRACT FROM AUTHOR]

Copyright of Tropical Geography is the property of Tropical Geography Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The energy consumption of massive multiple-input multiple-output (MIMO) systems increases with the number of antennas. Optimizing the energy efficiency (EE) of massive MIMO systems is one of the ways to achieve green communication. This paper proposes an EE optimization method that genetic algorithm-based antenna selection and power allocation (GA-AS+PA) for the downlink of a multicell massive MIMO system under the restriction of the users' sum-rate. First, we use the genetic algorithm to determine the active transmitting antenna of each base station (BS). Then, the transmission power for each user is allocated using the convex optimization method. Finally, the EE of system is optimized under the achieved optimum BS's transmit power and the number of active antennas. From the simulation results, the GA-AS+PA method can improve the EE of the system while meeting user sum-rate requirements, which achieves better performance compared with random antenna selection+equal power allocation method (RAS+EPA), random antenna selection+power allocation method (RAS+PA), the antenna selection method based on genetic algorithm+equal power allocation method (GA-AS+EPA), and equal power allocation (EPA) these four methods. The EE of the proposed GA-AS+PA method is improved by 33.3% compared to the EPA method. [ABSTRACT FROM AUTHOR]

Cropland area has long been used as a key indicator of food security. However, grain yield is not solely controlled by the area of the cropland. Therefore, we proposed a new indicator to assess food security. Results show that from 1992 to 2004, the global cropland area increased by 840 200 km2 (99.4%), but the grain yield increased only by 310 million t (29.1%); and from 2004 to 2015, the cropland area decreased by 39 000 km2 (4.64%), but the grain yield increased by 370 million t (70.84%). This result showed that grain yield was not linearly correlated with cropland area, and delimiting the threshold of cropland protection may not guarantee food security. Combined with further correlation analysis, we found that the increase in the global grain yield was more closely related to the harvested area (R2 = 0.94), which indicated that the harvested area is a more scientific and accurate indicator than cropland area in terms of guaranteeing food security. Therefore, if governments want to ensure the food security, they should choose a new and more accurate indicator: harvested area rather than cropland area. [ABSTRACT FROM AUTHOR]

This article involves an adaptive robust barrier‐based control of a three‐dimensional riser system subject to system uncertainties and output constraints. A barrier‐based Lyapunov function and a dynamical online update technique are merged to develop new adaptive robust control schemes for dampening the vibration, compensating for parametric uncertainties, and dealing with the constraints in the system. A rigorous Lyapunov analysis is exploited to guarantee the uniformly bounded stability in the controlled system. Finally, the efficacy of the designed approach is validated via simulation results. [ABSTRACT FROM AUTHOR]