Where does the irrigated water in the Tarim Basin go? A hydrological analysis of water budgets and atmospheric transport

Irrigated agriculture plays a crucial role in the local economic and social development of the Tarim Basin, but its sustainability is threatened by water scarcity due to the arid environment. In this study, we investigate the impact of irrigation on the atmospheric hydrological cycle in the region using the Weather Research and Forecast (WRF) model. We conduct simulations for a three-month period under two scenarios: present-day and future warming. Our results show that, in the present-day scenario, 90.5% of irrigated water is transported via atmospheric hydrological processes, with precipitation and water vapor transport being the dominant components. However, in the future warming scenario, more atmospheric water (45.2%) will leave the area due to weakened wind regimes, resulting in significant water loss. Furthermore, our analysis using the HYbrid Single Particle Lagrangian Integrated Trajectory model (HYSPLIT) indicates that irrigation contributes to extreme rainfall events, and the southwestern Tarim Basin is a primary destination for irrigated water. Our findings highlight the urgency of addressing the sustainability of irrigated agriculture and local water resources in the face of impending global warming

Multiparty Private Set Intersection Cardinality and Its Applications

We describe a new paradigm for multi-party private set intersection cardinality (\psica) that allows $n$ parties to compute the intersection size of their datasets without revealing any additional information. We explore a variety of instantiations of this paradigm. Our protocols avoid computationally expensive public-key operations and are secure in the presence of a semi-honest adversary. We demonstrate the practicality of our \psica\ with an implementation. For $n=16$ parties with data-sets of $2^{20}$ items each, our server-aided variant takes 71 seconds. Interestingly, in the server-less setting, the same task takes only 7 seconds. To the best of our knowledge, this is the first `special purpose\u27 implementation of a multi-party \psica\ from symmetric-key techniques (i.e., an implementation that does not rely on a generic underlying MPC). We study two interesting applications -- heatmap computation and associated rule learning (ARL) -- that can be computed securely using a dot-product as a building block. We analyse the performance of securely computing heatmap and ARL using our protocol and compare that to the state-of-the-art

Toward A Practical Multi-party Private Set Union

This paper studies a multi-party private set union (mPSU), a fundamental cryptographic problem that allows multiple parties to compute the union of their respective datasets without revealing any additional information. We propose an efficient mPSU protocol which is secure in the presence of any number of colluding semi-honest participants. Our protocol avoids computationally expensive homomorphic operations or generic multi-party computation, thus providing an efficient solution for mPSU. The crux of our protocol lies in the utilization of new cryptographic tools, namely, Membership Oblivious Transfer (mOT) and Conditional Oblivious Pseudorandom Function (cOPRF). We believe that the mOT and cOPRF may be of independent interest. We implement our mPSU protocol and evaluate their performance. Our protocol shows an improvement of up to $55\times$ and $776.18\times$ bandwidth cost compared to the existing state-of-the-art protocols

Privacy-Preserving Digital Vaccine Passport

The global lockdown imposed during the Covid-19 pandemic has resulted in significant social and economic challenges. In an effort to reopen economies and simultaneously control the spread of the disease, the implementation of contact tracing and digital vaccine passport technologies has been introduced. While contact tracing methods have been extensively studied and scrutinized for security concerns through numerous publications, vaccine passports have not received the same level of attention in terms of defining the problems they address, establishing security requirements, or developing efficient systems. Many of the existing methods employed currently suffer from privacy issues. This work introduces PPass, an advanced digital vaccine passport system that prioritizes user privacy. We begin by outlining the essential security requirements for an ideal vaccine passport system. To address these requirements, we present two efficient constructions that enable PPass to function effectively across various environments while upholding user privacy. By estimating its performance, we demonstrate the practical feasibility of PPass. Our findings suggest that PPass can efficiently verify a passenger’s vaccine passport in just 7 milliseconds, with a modest bandwidth requirement of 480KB

Effects of habitat differences on the scatter-hoarding behaviour of rodents (Mammalia, Rodentia) in temperate forests

To discover the differences in hoarding strategies of rodents for different seeds in different habitats, we labelled and released three different types of seeds, including Pinus koraiensis, Corylus mandshurica, and Quercus mongolica, in temperate forests of northeastern China and investigated the fate of seeds in four different habitats that included a broad-leaved forest, mixed-forest edge, mixed forest, and artificial larch forest. Our research showed that the hoarding strategy of rodents was found to vary substantially in different habitats. The survival curves of seeds from different habitats showed the same trend, but the rates of consumption in different habitats varied. More than 50% of the seeds in the four habitats were consumed by the tenth day. It took 20 days to consume more than 70% of the seeds. The rate of consumption of P. koraiensis seeds reached 96.70%; 99.09% of the C. mandshurica seeds were consumed, and 93.07% of the Q. mongolica seeds were consumed. The seeds were consumed most quickly in the artificial larch forest. In general, most of the early seeds were quickly devoured. After day 20, the consumption gradually decreased. Rodents found the seeds in the artificial larch forest in a shorter average time than those in the other types of forests. The average earliest discovery time was 1.4 ± 0.9 d (1–3 d). The average earliest discovery time in all the other three habitats exceeded 7 d. The median removal times (MRT) was distributed around the seeds at 14.24 ± 10.53 d (1–60 d). There were significant differences in the MRT among different habitats. It was shortest in the artificial larch forest at 7.67 ± 6.80 d (1–28 d). In contrast, the MRT in the broad-leaved forest was the longest at 17.52 ± 12.91 d (4–60 d). There were significant differences in the MRT between the artificial larch forest and the other habitats. There was less predation of the three types of seeds at the mixed-forest edge, and the most seeds were dispersed. The rates of predation of the P. koraiensis, C. mandshurica, and Q. mongolica seeds were 28.33%, 15.83%, and 44.0%, and 59.17%, 84.17%, and 48.0% of the seeds were dispersed, respectively. The average dispersal distances of all the seeds were less than 6 m, and the longest distance recorded was 18.66 m. The dispersal distances and burial depths differed significantly among the four types of habitats. The distance of seed dispersal was primarily distributed in 1–6 m

Methanol extract of Inonotus obliquus improves type 2 diabetes mellitus through modifying intestinal flora

Type 2 diabetes mellitus (T2DM) poses a significant risk to human health. Previous research demonstrated that Inonotus obliquus possesses good hypolipidemic, anti-inflammatory, and anti-tumor properties. In this research, we aim to investigate the potential treatment outcomes of Inonotus obliquus for T2DM and discuss its favourable influences on the intestinal flora. The chemical composition of Inonotus obliquus methanol extracts (IO) was analyzed by ultra-high-performance liquid chromatography-Q extractive-mass spectrometry. IO significantly improved the blood glucose level, blood lipid level, and inflammatory factor level in T2DM mice, and effectively alleviated the morphological changes of colon, liver and renal. Acetic acid, propionic acid, and butyric acid levels in the feces of the IO group were restored. 16S rRNA gene sequencing revealed that the intestinal flora composition of mice in the IO group was significantly modulated. Inonotus obliquus showed significant hypoglycemic and hypolipidemic effects with evident anti-inflammatory activity and improved the morphological structure of various organs and cells. Inonotus obliquus increased the levels of short-chain fatty acids in the environment by increasing the population of certain bacteria that produce acid, such as Alistipes and Akkermansia, which are beneficial to improve intestinal flora disorders and maintain intestinal flora homeostasis. Meanwhile, Inonotus obliquus further alleviated T2DM symptoms in db/db mice by down-regulating the high number of microorganisms that are dangerous, such as Proteobacteria and Rikenellaceae_RC9_gut_group and up-regulating the abundance of beneficial bacteria such as Odoribacter and Rikenella. Therefore, this study provides a new perspective for the treatment of T2DM by demonstrating that drug and food homologous active substances could relieve inflammation via regulating intestinal flora

PaLM 2 Technical Report

We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is a Transformer-based model trained using a mixture of objectives. Through extensive evaluations on English and multilingual language, and reasoning tasks, we demonstrate that PaLM 2 has significantly improved quality on downstream tasks across different model sizes, while simultaneously exhibiting faster and more efficient inference compared to PaLM. This improved efficiency enables broader deployment while also allowing the model to respond faster, for a more natural pace of interaction. PaLM 2 demonstrates robust reasoning capabilities exemplified by large improvements over PaLM on BIG-Bench and other reasoning tasks. PaLM 2 exhibits stable performance on a suite of responsible AI evaluations, and enables inference-time control over toxicity without additional overhead or impact on other capabilities. Overall, PaLM 2 achieves state-of-the-art performance across a diverse set of tasks and capabilities. When discussing the PaLM 2 family, it is important to distinguish between pre-trained models (of various sizes), fine-tuned variants of these models, and the user-facing products that use these models. In particular, user-facing products typically include additional pre- and post-processing steps. Additionally, the underlying models may evolve over time. Therefore, one should not expect the performance of user-facing products to exactly match the results reported in this report

Application of Ground-based 3D Laser Scanning Technology in Engineering Surveying

In this paper, the technological process of fixed ground-based 3D laser scanning technology in practical production of engineering survey is introduced, and application methods of the technology in topographic map surveying and mapping, earthwork calculation, road surveying, 3D modeling and other aspects are systematically discussed. Meanwhile, the paper summarizes the advantages and disadvantages of this technology compared with traditional surveying and mapping methods, discusses the application direction and prospect of ground-based 3D laser scanning technology in the future11, and provide a reference for the application of this technology in urban engineering surveying

Where does the irrigated water in the Tarim Basin go? A hydrological analysis of water budgets and atmospheric transport

Irrigated agriculture plays a crucial role in the local economic and social development of the Tarim Basin (TB), but its sustainability is threatened by water scarcity due to the arid environment. In this study, we investigate the impact of irrigation on the atmospheric hydrological cycle in the region using the weather research and forecast model. We conduct simulations for a three month period under two scenarios: present-day and future warming. Our results show that, in the present-day scenario, 90.5% of irrigated water is transported via atmospheric hydrological processes, with precipitation and water vapor transport being the dominant components. However, in the future warming scenario, more atmospheric water (45.2%) will leave the area due to weakened wind regimes, resulting in significant water loss. Furthermore, our analysis using the HYbrid Single Particle Lagrangian Integrated Trajectory model indicates that irrigation contributes to extreme rainfall events, and the southwestern TB is a primary destination for irrigated water. Our findings highlight the urgency of addressing the sustainability of irrigated agriculture and local water resources in the face of impending global warming

Investigation on the temperature variation of novec-1230 and halon 1301 in a discharge system

The flow inside the aviation engine fire extinguishing system is complicated due to its transient, two-phase and compressible nature. Temperature is one of the important variables of the flow, because it reflects the thermal respect of the physics. However, detailed analysis on the temperature variation during the discharge process is in absence. In this article, factors influencing temperature were analyzed, based on experimental experiments using halon1301 and novec1230. The temperature variation is found to be mainly influenced by the following factors: (1) the pressure gradient in pipe and gas fraction of the flow, (2) the relative magnitude of pressure work rate and convection, (3) pressure undershoot. The negative pressure gradient in the pipe, combined with the raising of gas fraction, leads to a sharp temperature drop of about 50 °C/s in the pipe. This process stops when the magnitude of pressure work is diminished, then heat convection from the pipe wall starts to dominate. Pressure undershoot is observed only in experiments using halon1301. The temperature drops of 6.1–9.8 °C in 0.01 s during the pipe pressure undershoot, and drops 12–14.2 °C in 1 s during bottle pressure undershoot