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1

Fujita, Kentaro, Yuanyu Zhang, Masahiro Sasabe, and Shoji Kasahara. "Mining Pool Selection under Block WithHolding Attack." Applied Sciences 11, no. 4 (2021): 1617. http://dx.doi.org/10.3390/app11041617.

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In current Proof-of-Work (PoW) blockchain systems, miners usually form mining pools to compete with other pools/miners in the mining competition. Forming pools can give miners steady revenues but will introduce two critical issues. One is mining pool selection, where miners select the pools to join in order to maximize their revenues. The other is a Block WithHolding (BWH) attack, where pools can inject part of their hash/mining power into other pools to obtain additional revenues without contributing to the mining process of the attacked pools. Reasoning that the BWH attack will have signific
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2

Liu, Xiao, Zhao Huang, Quan Wang, Yin Chen, and Yuan Cao. "A Repeated Game-Based Distributed Denial of Service Attacks Mitigation Method for Mining Pools." Electronics 13, no. 2 (2024): 398. http://dx.doi.org/10.3390/electronics13020398.

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A Distributed Denial of Service (DDoS) attack is a prevalent issue in the blockchain network layer, causing significant revenue loss for honest mining pools. This paper introduces a novel method, the Repeated Game-based DDoS attack mitigation (RGD), to address this problem. Unlike traditional methods such as game theory and machine learning-based detection, the RGD method can effectively reflect the changes in mining revenue and strategies under different network-strength environments. In particular, we abstract the problem of DDoS mining pool revenue loss into a game revenue model and propose
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3

Zhang, Yang, Yourong Chen, Kelei Miao, Tiaojuan Ren, Changchun Yang, and Meng Han. "A Novel Data-Driven Evaluation Framework for Fork after Withholding Attack in Blockchain Systems." Sensors 22, no. 23 (2022): 9125. http://dx.doi.org/10.3390/s22239125.

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In the blockchain system, mining pools are popular for miners to work collectively and obtain more revenue. Nowadays, there are consensus attacks that threaten the efficiency and security of mining pools. As a new type of consensus attack, the Fork After Withholding (FAW) attack can cause huge economic losses to mining pools. Currently, there are a few evaluation tools for FAW attacks, but it is still difficult to evaluate the FAW attack protection capability of target mining pools. To address the above problem, this paper proposes a novel evaluation framework for FAW attack protection of the
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4

Kusin, Faradiella Mohd, Mohd Syakirin Md Zahar, Siti Nurjaliah Muhammad, Zafira Md Zin, and Sharifah Mohd Sharif. "Assessing the potential use of abandoned mining pools as an alternative resource of raw water supply." Water Supply 16, no. 2 (2015): 410–17. http://dx.doi.org/10.2166/ws.2015.150.

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The water crisis in the state of Selangor has prompted the state water authority to use water from abandoned mining pools as an alternative resource of raw water supply. In this study, the potential use of the mining pool water has been assessed to evaluate its safe use for potable water consumption, which is the source of raw water to be supplied to water treatment plants. Assessments were made between sampling sites that include abandoned mining pools, active sand mining pools, and the receiving streams (two tributaries and the main river, Selangor River) within Bestari Jaya catchment, Selan
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5

Ren, Min, Hongfeng Guo, and Zhihao Wang. "Mitigation of block withholding attack based on zero-determinant strategy." PeerJ Computer Science 8 (July 21, 2022): e997. http://dx.doi.org/10.7717/peerj-cs.997.

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This article focuses on the mining dilemma of block withholding attack between the mining pools in the bitcoin system. In order to obtain the higher revenue, the rational mining pool usually chooses an infiltration attack, that is, the pool will falls into the mining dilemma of the PoW consensus algorithm. Thus the article proposes to apply zero-determinant strategies for optimizing the behavior selection of the mining pool under PoW consensus mechanism to increase the total revenues of the system, so as to solve the mining dilemma. After theoretically studying the set and extortionate strateg
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6

Liu, Xiao, Zhao Huang, Quan Wang, and Bo Wan. "An Evolutionary Game Theory-Based Method to Mitigate Block Withholding Attack in Blockchain System." Electronics 12, no. 13 (2023): 2808. http://dx.doi.org/10.3390/electronics12132808.

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Consensus algorithms are the essential components of blockchain systems. They guarantee the blockchain’s fault tolerance and security. The Proof of Work (PoW) consensus algorithm is one of the most widely used consensus algorithms in blockchain systems, using computational puzzles to enable mining pools to compete for block rewards. However, this excessive competition for computational power will bring security threats to blockchain systems. A block withholding (BWH) attack is one of the most critical security threats blockchain systems face. A BWH attack obtains the reward of illegal block ex
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7

Alkalay-Houlihan, Colleen, and Nisarg Shah. "The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1724–31. http://dx.doi.org/10.1609/aaai.v33i01.33011724.

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Bitcoin, a cryptocurrency built on the blockchain data structure, has generated significant academic and commercial interest. Contrary to prior expectations, recent research has shown that participants of the protocol (the so-called “miners”) are not always incentivized to follow the protocol. We study the game induced by one such attack – the pool block withholding attack – in which mining pools (groups of miners) attack other mining pools. We focus on the case of two pools attacking each other, with potentially other mining power in the system.We show that this game always admits a pure Nash
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8

Huang, Yuming, Jing Tang, Qianhao Cong, Richard T. B. Ma, Lei Chen, and Yeow Meng Chee. "The Last Survivor of PoS Pools: Staker's Dilemma." Proceedings of the ACM on Measurement and Analysis of Computing Systems 9, no. 1 (2025): 1–29. https://doi.org/10.1145/3711704.

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In blockchains using the Proof-of-Work (PoW) consensus mechanism, a mining pool is a joint group of miners who combine their computational resources and share the generated revenue. Similarly, when the Proof-of-Stake (PoS) consensus mechanism is adopted, the staking pool imitates the design of the mining pool by aggregating the stakes. However, in PoW blockchains, the pooling approach has been criticized to be vulnerable to the block withholding (BWH) attack. BWH attackers may steal the dividends from victims by pretending to work but making invalid contributions to the victim pools. It is wel
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9

Çulha, Davut. "Maximizing proof-of-work decentralization." Ingenieria Solidaria 20, no. 1 (2023): 1–16. http://dx.doi.org/10.16925/2357-6014.2024.01.04.

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Introduction: Blockchain technology is one of the emerging technologies that implements the concept of decentralization. The first application of this technology was with Bitcoin, which is a decentralized application. However, the decentralization of Bitcoin has become problematic due to the formation of mining pools. In this work, decentralization is intended to be maximized. Problem: Decentralization is the main concept of blockchain technologies. However, decentralization suffers mainly from mining pools in the Bitcoin network. Objective: In this work, the proposed solution to maximize upon
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10

Toroghi Haghighat, Alireza, and Mehdi Shajari. "Block withholding game among bitcoin mining pools." Future Generation Computer Systems 97 (August 2019): 482–91. http://dx.doi.org/10.1016/j.future.2019.03.002.

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11

Gowan, Samuel W., and Steven M. Trader. "Mine failure associated with a pressurized brine horizon; Retsof salt mine, western New York." Environmental and Engineering Geoscience 6, no. 1 (2000): 57–70. http://dx.doi.org/10.2113/gseegeosci.6.1.57.

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Abstract The eventual loss of the Retsof Salt Mine from flooding was initiated on March 12, 1994 with a magnitude 3.6 earthquake, the collapse of a small-pillar panel, an initial inrush of brine and gas to the mine and a sustained inflow of fresh water. An examination of closure data for two mine panels involved in the inflow suggested an anomalous buildup of fluid pressure above the panels in the period leading up to their collapse. The initial brine and gas inflow immediately following the collapse coincided with the apparent relief of the excess pressure. The potential existence of a pre-co
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12

Wang, Jing, and Zihao Wang. "EFAW: a new mining attack model combining FAW attacks with the Eclipse attack." Journal of Surveillance, Security and Safety 4, no. 4 (2023): 180–95. http://dx.doi.org/10.20517/jsss.2023.34.

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Aim The Proof-of-Work consensus mechanism is the core mechanism of the blockchain, but the existing Fork After Withholding (FAW) attack can earn more rewards by launching attacks on the mining pools under the Proof-of-Work consensus mechanism. This paper proposes a new attack model based on the FAW attack, which further increases the attacker’s reward to explore the impact of the attack method on the blockchain network and the losses caused by the attack, which is helpful for maintaining the blockchain. Methods This paper proposes a new mining attack model called the "Eclipse Fork After Withho
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13

Qin, Rui, Yong Yuan, and Fei-Yue Wang. "Optimal Block Withholding Strategies for Blockchain Mining Pools." IEEE Transactions on Computational Social Systems 7, no. 3 (2020): 709–17. http://dx.doi.org/10.1109/tcss.2020.2991097.

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14

Dong, Xuewen, and Sheng Gao. "GenSelfHolding: Fusing Selfish Mining and Block Withholding Attacks on Bitcoin Revisited." Journal of Networking and Network Applications 2, no. 1 (2022): 23–35. http://dx.doi.org/10.33969/j-nana.2022.020102.

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Due to the monetary value of Bitcoin, the most influential digital cryptocurrency in the world, Bitcoin has naturally become a valuable target of attacks, resulting in the emergence of many attack strategies on it. Among those attack strategies, selfish mining and block withholding attacks are two typical ones and attackers can obtain higher revenues under certain conditions than with an honest mining strategy. However, the combination of them will be a new type and more serious attack, which has not been analyzed in depth. In this paper, we propose GenSelfHolding, a general combined attack mo
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15

Qin, Rui, Yong Yuan, and Fei-Yue Wang. "Research on the Selection Strategies of Blockchain Mining Pools." IEEE Transactions on Computational Social Systems 5, no. 3 (2018): 748–57. http://dx.doi.org/10.1109/tcss.2018.2861423.

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16

Chávez, Juan José García, and Carlo Kleber da Silva Rodrigues. "A Simple Algorithm for Automatic Hopping among Pools in the Bitcoin Mining Network." SIJ Transactions on Computer Networks & Communication Engineering 03, no. 01 (2015): 07–12. http://dx.doi.org/10.9756/sijcnce/v3i1/03020040101.

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17

Gueth, Mareike, Gerhard Wiegleb, and Walter Durka. "Colonisation of secondary habitats in mining sites by Labidura riparia (Dermaptera: Labiduridae) from multiple natural source populations." Journal of Insect Conservation 25, no. 2 (2021): 349–59. http://dx.doi.org/10.1007/s10841-021-00305-y.

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AbstractBackgroundOpen cast lignite mines, sand pits and military training areas represent human-made, secondary habitats for specialized xerothermophilous and psammophilous species. Rare species, including the earwigLabidurariparia,are found in high population densities in such sites. However, it is unknown from which sources colonisation took place and how genetic variation compares to that of ancient populations on natural sites.MethodsUsing nine microsatellite markers, we analysed genetic variation and population structure ofL. ripariain 21 populations in NE Germany both from secondary hab
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18

Sukoco, Sukoco, Gunawan Gunawan, and Muhamat Muhamat. "Struktur Komunitas Fitoplankton di Kolam Bekas Pertambangan Batubara Desa Kampung Baru Kecamatan Cempaka." BIOSCIENTIAE 17, no. 2 (2021): 37. http://dx.doi.org/10.20527/b.v17i2.3451.

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This study aims to determine the structure of phytoplankton communities in the pool are former coal mining Desa Kampung Baru Kecamatan Cempaka which include abundance, diversity, uniformity and dominance. Phytoplankton samples taken in two pools with a purposive sampling method with a three-point shooting at each pond. Sampling was performed three times. Phylum of phytoplankton were identified in both pools as much as 2 phylum (Chloropyta and Chrysopita) with 17 genera. Average abundance of phytoplankton in the first pool of 7174 ind / liter and 6873 ind / liter in the second pool. The average
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19

Puppe, Daniel, Axel Höhn, Danuta Kaczorek, Manfred Wanner, Marc Wehrhan, and Michael Sommer. "How big is the influence of biogenic silicon pools on short-term changes in water-soluble silicon in soils? Implications from a study of a 10-year-old soil–plant system." Biogeosciences 14, no. 22 (2017): 5239–52. http://dx.doi.org/10.5194/bg-14-5239-2017.

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Abstract. The significance of biogenic silicon (BSi) pools as a key factor for the control of Si fluxes from terrestrial to aquatic ecosystems has been recognized for decades. However, while most research has been focused on phytogenic Si pools, knowledge of other BSi pools is still limited. We hypothesized that different BSi pools influence short-term changes in the water-soluble Si fraction in soils to different extents. To test our hypothesis we took plant (Calamagrostis epigejos, Phragmites australis) and soil samples in an artificial catchment in a post-mining landscape in the state of Br
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20

Raza, Zeeshan, Irfan ul Haq, Muhammad Muneeb, and Omair Shafiq. "Energy Efficient Multiprocessing Solo Mining Algorithms for Public Blockchain Systems." Scientific Programming 2021 (October 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/9996132.

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Blockchain as a decentralized distributed ledger is revolutionizing the world with a secure design data storage mechanism. In the case of Bitcoin, mining involves a process of packing transactions in a block by calculating a random number termed as a nonce. The nonce calculation is done by special nodes called miners, and all the miners follow the Proof of Work (PoW) mining mechanism to perform the mining task. The transaction verification time in PoW-based blockchain systems, i.e., Bitcoin, is much slower than other digital transaction systems such as PayPal. It needs to be quicker if a syste
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21

Donovan, Joseph J., and Eric F. Perry. "Mine Flooding History of a Regional Below-Drainage Coalfield Dominated by Barrier Leakage (1970–2014)." Geofluids 2019 (March 11, 2019): 1–16. http://dx.doi.org/10.1155/2019/5703108.

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A 44-year record of water level fluctuations in a series of adjacent closed underground mines documents the history of closure and mine flooding in the Fairmont Coalfield, one of the oldest coal mining districts in the Pittsburgh coal basin, West Virginia, USA. As closures proceeded and mines began to flood, US environmental regulations were first enacted mandating mine water control and treatment, rendering uncontrolled surface discharges unacceptable. The purpose of this study is to present this flooding history and to identify critical events that determined how mine pools evolved in this c
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22

Sun, Linhua, Xianghong Liu, and Chen Cheng. "Quality of water from subsidence area: a case study in the Luling coal mine, northern Anhui Province, China." Water Practice and Technology 10, no. 4 (2015): 777–86. http://dx.doi.org/10.2166/wpt.2015.096.

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Quality of water in the subsidence area related to coal mining is important for water usage in the coal mining areas. In this study, forty-two samples from the subsidence pools in the Luling coal mine, northern Anhui Province, China have been collected and measured for their major ion concentrations, and the data have been applied for quality evaluating of drinking and irrigation purposes. The results suggest that the water samples from different pools have different concentrations of major ions and all of them can be classified to be Na-HCO3 type. According to the results of water quality ind
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23

Qadir, Danial, Hilmi Mukhtar, and Kok Keong Lau. "MONITORING AND PHYSICO-CHEMICAL ASSESSMENT OF EX-MINING POOLS IN PERAK, MALAYSIA." Malaysian Journal of Science 36, no. 1 (2017): 32–46. http://dx.doi.org/10.22452/mjs.vol36no1.4.

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24

Schlötterer, Christian, Raymond Tobler, Robert Kofler, and Viola Nolte. "Sequencing pools of individuals — mining genome-wide polymorphism data without big funding." Nature Reviews Genetics 15, no. 11 (2014): 749–63. http://dx.doi.org/10.1038/nrg3803.

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25

Sitanayah, Lanny, Apriandy Angdresey, and Vandri Josua Abram Sampul. "Monitoring and Predicting Water Quality in Swimming Pools." EPI International Journal of Engineering 3, no. 2 (2021): 119–25. http://dx.doi.org/10.25042/epi-ije.082020.05.

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Water quality in public swimming pools affects human health. While changing the water too soon is wasteful, postponing changing the dirty water is not hygiene. In this paper, we propose an Internet of Things-based wireless system to monitor and predict water quality in public swimming pools. Our system utilizes an Arduino Uno, an ESP8266 ESP-01 WiFi module, a DS18B20 temperature sensor, a pH sensor, and a turbidity sensor. We predict the water quality using a data mining prediction model, namely the decision tree Iterative Dichotomiser 3 algorithm. We show by experiment that our sensor node an
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26

Beran, Luboš. "Společenstva vodních měkkýšů NPP Řežabinec se zaměřením na vzácné a ohrožené druhy [Aquatic mollusc communities of the Řežabinec National Natural Monument with a focus on rare and endangered species]." Malacologica Bohemoslovaca 24 (April 30, 2025): 8–16. https://doi.org/10.5817/mab2025-24-8.

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The Řežabinec National Natural Monument is located near Ražice in South Bohemia (Czech Republic). It consists of a pond created on the site of wetlands in the former bed of the Otava River, as well as pools and wetlands formed by the flooding of pits after mining. During surveys in 2014 and 2024, a total of 24 species of aquatic molluscs (17 gastropods and 7 bivalves) were found. The most important find was the pea mussel Euglesa pseudosphaerium. Its large populations were found here during both surveys in the wetlands around the pond and in the pools and wetlands east of it. This species is r
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27

Beran, Luboš. "Společenstva vodních měkkýšů NPP Řežabinec se zaměřením na vzácné a ohrožené druhy [Aquatic mollusc communities of the Řežabinec National Natural Monument with a focus on rare and endangered species]." Malacologica Bohemoslovaca 24 (April 30, 2025): 8–16. https://doi.org/10.5817/MaB2025-24-8.

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The Řežabinec National Natural Monument is located near Ražice in South Bohemia (Czech Republic). It consists of a pond created on the site of wetlands in the former bed of the Otava River, as well as pools and wetlands formed by the flooding of pits after mining. During surveys in 2014 and 2024, a total of 24 species of aquatic molluscs (17 gastropods and 7 bivalves) were found. The most important find was the pea mussel Euglesa pseudosphaerium. Its large populations were found here during both surveys in the wetlands around the pond and in the pools and wetlands east of it. This species is r
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28

Wu, Shuangke, Yanjiao Chen, Minghui Li, Xiangyang Luo, Zhe Liu, and Lan Liu. "Survive and Thrive: A Stochastic Game for DDoS Attacks in Bitcoin Mining Pools." IEEE/ACM Transactions on Networking 28, no. 2 (2020): 874–87. http://dx.doi.org/10.1109/tnet.2020.2973410.

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29

Möser, Malte, Kyle Soska, Ethan Heilman, et al. "An Empirical Analysis of Traceability in the Monero Blockchain." Proceedings on Privacy Enhancing Technologies 2018, no. 3 (2018): 143–63. http://dx.doi.org/10.1515/popets-2018-0025.

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Abstract Monero is a privacy-centric cryptocurrency that allows users to obscure their transactions by including chaff coins, called “mixins,” along with the actual coins they spend. In this paper, we empirically evaluate two weaknesses in Monero’s mixin sampling strategy. First, about 62% of transaction inputs with one or more mixins are vulnerable to “chain-reaction” analysis - that is, the real input can be deduced by elimination. Second, Monero mixins are sampled in such a way that they can be easily distinguished from the real coins by their age distribution; in short, the real input is u
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30

Sun, Linhua, Xianghong Liu, and Ning Min. "Identifying the potential sources of trace metals in water from subsidence area based on positive matrix factorization." Water Practice and Technology 11, no. 2 (2016): 279–87. http://dx.doi.org/10.2166/wpt.2016.030.

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Water in the subsidence area is a good choice for solving the water shortage in the coal mining area of China. In this study, positive matrix factorization model has been applied for the concentrations of seven kinds of trace metals (Pb, V, Cr, Mn, Co, Ni and Cu) in water from the subsidence area in the Luling coal mine, northern Anhui Province, China for identifying and quantifying their potential sources. Statistical analyses (including coefficients of variation and P-value of Anderson–Darling test) of metal concentrations indicate that multi factors (geological weathering/dissolution, filli
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31

Mazanetz, Michael P., Catherine B. T. Reisser, Robert J. Marmon, and Inaki Morao. "Drug Discovery Applications for KNIME: An Open Source Data Mining Platform." Current Topics in Medicinal Chemistry 12, no. 18 (2013): 1965–79. http://dx.doi.org/10.2174/1568026611212180004.

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Technological advances in high-throughput screening methods, combinatorial chemistry and the design of virtual libraries have evolved in the pursuit of challenging drug targets. Over the last two decades a vast amount of data has been generated within these fields and as a consequence data mining methods have been developed to extract key pieces of information from these large data pools. Much of this data is now available in the public domain. This has been helpful in the arena of drug discovery for both academic groups and for small to medium sized enterprises which previously would not have
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32

Gist, Conra D., Margarita Bianco, and Marvin Lynn. "Examining Grow Your Own Programs Across the Teacher Development Continuum: Mining Research on Teachers of Color and Nontraditional Educator Pipelines." Journal of Teacher Education 70, no. 1 (2018): 13–25. http://dx.doi.org/10.1177/0022487118787504.

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Grow Your Own (GYO) programs are cited in recent policy briefs as viable pathways for increasing the racial/ethnic diversity of teachers, yet recent scholarship on GYO programs is minimal. To address this issue, this article investigates what we know, and do not know, about GYO programs, by examining a range of data sources on different types of GYO program teacher pools (e.g., middle/high school, paraprofessional, community activists/parents mentors) and making sense of findings over a continuum of teacher development (e.g., recruitment, preparation, induction, and retention). Based on a rese
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33

Kiswanto, Heru Susanto, and Sudarno. "Characterization Of Coal Acid Water In Void Pools Of Coal Mining In South Kalimantan." E3S Web of Conferences 73 (2018): 05030. http://dx.doi.org/10.1051/e3sconf/20187305030.

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This study aims to determine the characteristics of acidic water derived from void coal mine by taking samples from voids located in South Kalimantan. Method used in this research was field work and laboratory work. The result of measurement of acid characterization of coal mine acid was analyzed to have the highest pH value of 4.01, the highest temperature was 33.9 oC, the highest Color was 3.01 NTU, the highest COD was 56.50 ppm, the highest BOD was 20,34 ppm , The highest DHL of 1 us, the highest TSS of 652.67 ppm, the highest Fe of 9.46 ppm, the highest Mn of 1.72 ppm and the Cd content is
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34

Hanna, Rifaat G. M. "Levels of heavy metals in some Red Sea fish before hot brine pools mining." Marine Pollution Bulletin 20, no. 12 (1989): 631–35. http://dx.doi.org/10.1016/0025-326x(89)90403-7.

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35

Idris Yusuf Ayab, Zubairu Yakubu Gada, and Sanusi Bello Shamaki. "Assessment of the impacts of mining activities on vegetation cover and restoration efforts using Geographic Information System (GIS) in the Gwadabawa sand mining site, Sokoto State, Nigeria." International Journal of Science and Research Archive 13, no. 2 (2024): 3923–34. https://doi.org/10.30574/ijsra.2024.13.2.2567.

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Globally, mining is recognized as an inherently economically important process, regrettably, it promotes landscape destruction through deforestation, erosion, pollution, and disruption of soil properties. Addressing these impacts is critical to ensuring environmental health and resilience. This study assesses the impacts of mining activities on vegetation cover and restoration efforts in the Gwadabawa mining sites, Sokoto State, Nigeria. A field survey was conducted to assess the vegetation, the extent of degradation due to mining operations, and the restoration efforts in the area. Landsat im
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36

Blekanov, Ivan S., Nikita Tarasov, and Svetlana S. Bodrunova. "Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages." Future Internet 14, no. 3 (2022): 69. http://dx.doi.org/10.3390/fi14030069.

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Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today’s abstractive summarization research is limited to testing the models on various types of data, which brings only marginal improvements and does not lead to massive practical employment of the method. In particular, abstractive summarization is not used for social media research, where it would be very useful for opinion and topic mining due to the complications that social media data create for other methods of textual a
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37

Han, Jiazheng, Zhenqi Hu, Zhen Mao, et al. "How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate." Remote Sensing 14, no. 9 (2022): 2014. http://dx.doi.org/10.3390/rs14092014.

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Carbon sequestration in terrestrial ecosystems plays an essential role in coping with global climate change and achieving regional carbon neutrality. In mining areas with high groundwater levels in eastern China, underground coal mining has caused severe damage to surface ecology. It is of practical significance to evaluate and predict the positive and negative effects of coal mining and land reclamation on carbon pools. This study set up three scenarios for the development of the Yanzhou coalfield (YZC) in 2030, including: (1) no mining activities (NMA); (2) no reclamation after mining (NRM);
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38

Stylianou, Konstantinos, and Nic Carter. "The Size of the Crypto Economy: Calculating Market Shares of Cryptoassets, Exchanges and Mining Pools." Journal of Competition Law & Economics 16, no. 4 (2020): 511–51. http://dx.doi.org/10.1093/joclec/nhaa016.

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Abstract Cryptoassets and related actors such as crypto exchanges and mining pools are now fully integrated into mainstream economic activity. A necessary corollary is that they have attracted heightened regulatory and investor scrutiny. Although some rules and obligations apply uniformly across all economic actors in a given sector, many others, such as antitrust laws and some financial regulations as well as investor decisions are informed by actors’ relative economic size—meaning that those with larger market shares can become more attractive regulatory or investing targets. It is therefore
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39

YAO, En-qin, and He-rong GUI. "Characteristics of the main polluting trace elements in the water environment of mining subsidence pools." Journal of China University of Mining and Technology 18, no. 3 (2008): 362–67. http://dx.doi.org/10.1016/s1006-1266(08)60076-0.

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40

Levasseur, Patrick A., Julian Aherne, Nathan Basiliko, et al. "Soil carbon pools and fluxes following the regreening of a mining and smelting degraded landscape." Science of The Total Environment 904 (December 2023): 166734. http://dx.doi.org/10.1016/j.scitotenv.2023.166734.

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41

Wu, Xiaolong, Chong Feng, Qiyuan Li, and Jianping Zhu. "Keyword Pool Generation for Web Text Collecting: A Framework Integrating Sample and Semantic Information." Mathematics 12, no. 3 (2024): 405. http://dx.doi.org/10.3390/math12030405.

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Keyword pools are used as search queries to collect web texts, largely determining the size and coverage of the samples and provide a data base for subsequent text mining. However, how to generate a refined keyword pool with high similarity and some expandability is a challenge. Currently, keyword pools for search queries aimed at collecting web texts either lack an objective generation method and evaluation system, or have a low utilization rate of sample semantic information. Therefore, this paper proposed a keyword generation framework that integrates sample and semantic information to cons
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42

Chen, Yourong, Hao Chen, Meng Han, Banteng Liu, Qiuxia Chen, and Tiaojuan Ren. "A Novel Computing Power Allocation Algorithm for Blockchain System in Multiple Mining Pools Under Withholding Attack." IEEE Access 8 (2020): 155630–44. http://dx.doi.org/10.1109/access.2020.3017716.

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43

Yusof, A. M., M. N. Mahat, N. Omar, and A. K. H. Wood. "Water quality studies in an aquatic environment of disused tin-mining pools and in drinking water." Ecological Engineering 16, no. 3 (2001): 405–14. http://dx.doi.org/10.1016/s0925-8574(00)00124-5.

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44

Williams, Michael, Mucahit Kochan, and David Green. "Impact of Chinese Capital Outflows on Bitcoin vs. Yuan Relationships: A Multi-Period Analysis." Journal of Finance Issues 20, no. 2 (2022): 53–69. http://dx.doi.org/10.58886/jfi.v20i2.3432.

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We examine the relationships among Bitcoin (BTC), the Chinese Yuan (CNY), and Chinese capital outflows between 2014-2021. We find that BTC returns strongly comove with CNY returns after 2018Q1, while no significant BTC/CNY relationship exists before 2018Q1. Further, the strength of the BTC/CNY relationship increases throughout 2018 to the present date. Yet, this relationship strength cannot be explained by periods of ascending BTC prices, changes in crypto mining location, nor changes in the use of BTC "mining pools". Instead, we find that the strength of the BTC/CNY relationship is strongly a
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45

Tošić, Aleksandar, Niki Hrovatin, and Jernej Vičič. "Dataset of Linkability Networks of Ethereum Accounts Involved in NFT Trading of Top 15 NFT Collections." Data 8, no. 7 (2023): 116. http://dx.doi.org/10.3390/data8070116.

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In this paper, we present subgraphs of Ethereum wallets involved in NFT trades of the top 15 ERC721 NFT collections. To obtain the subgraphs, we have extracted the Ethereum transaction graph from a live Ethereum node and filtered out exchanges, mining pools, and smart contracts. For each of the selected collections, we identified the set of accounts involved in NFT trading, which we used to perform a breadth-first search in the Ethereum transaction graph to obtain a subgraph. These subgraphs can offer insight into the linkability of accounts participating in NFT trading on the Ethereum blockch
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46

Wang, Dingyi, and Haishun Du. "Multi-level Salient Feature Mining Network for Person Re-identification." Journal of Physics: Conference Series 2640, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2640/1/012001.

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Abstract Person re-identification (Re-ID) algorithms can retrieve the same pedestrian’s images from an image gallery captured by multiple cameras when given a pedestrian image. Due to changes in pedestrian postures, illuminations, and perspectives, it remains a significant challenge to improve the accuracy of person re-identification. Although the attention mechanism can alleviate some of these issues, it causes attention-based methods to pay excessive attention to features in the most salient areas of images while ignoring discriminant features outside the most salient areas, resulting in the
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47

Komulaynen, Sergey, and Tatiana Chekryzheva. "Response of Algal Communities to Anthropogenic Changes in Mineralization." Botanica Lithuanica 19, no. 1 (2013): 57–66. http://dx.doi.org/10.2478/botlit-2013-0010.

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Abstract A relatively new type of impact of human activities on lake-river system has resulted from mining operations in the Kostomuksha iron deposit, Karelia, NW Russia. Lake Kostumus was isolated by a dam and has since acted as a waste accumulator for ore-dressing production. The total mineral content of the water has reached 400 mg l-1. Comparative analysis of the structural organization and functioning of phytoperiphyton and phytoplankton in the Kenti lake-river system and subject to anthropogenic load resulting from urbanization is presented. The algal communities influenced by mineralize
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48

Oza, Tejas, Pooja Patel, and Vrinda S. Thaker. "A Comparative Genomic Analysis of Georgenia sps. for Mining of LysR Transcriptional Regulator Sequences." International Journal of Bioinformatics and Intelligent Computing 3, no. 1 (2024): 1–12. http://dx.doi.org/10.61797/ijbic.v3i1.285.

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Georgenia is a genus belonging to the actinomycetes group. The genera comprise only 33 poorly characterized species with reference genomes of 10 distinct species. However, none of the species is well characterized for their genome characteristics. Our laboratory isolate from tomato plant leaf was identified and sequenced for identification and found to be Georgenia sp. Later genomic analysis revealed many functional genes having characteristic functions to be analysed. The source of isolation raised the possibility of having functional genes to enhance senescence or having plant pathogenic act
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49

Schwarz-Schilling, Caspar, Sheng-Nan Li, and Claudio J. Tessone. "Stochastic Modelling of Selfish Mining in Proof-of-Work Protocols." Journal of Cybersecurity and Privacy 2, no. 2 (2022): 292–310. http://dx.doi.org/10.3390/jcp2020016.

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In blockchain-based systems whose consensus mechanisms resort to Proof-of-Work (PoW), it is expected that a miner’s share of total block revenue is proportional to their share of hashing power with respect to the rest of the network. The protocol relies on the immediate broadcast of blocks by miners, to earn precedence in peers’ local blockchains. However, a deviation from this strategy named selfish mining (SM), may lead miners to earn more than their “fair share”. In this paper, we introduce an agent-based model to simulate the dynamics of SM behaviour by a single miner as well as mining poo
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50

Khanal, Jharana. "Alluvial mining and its impact on deterioration of physical health of Malekhu Khola, Central Nepal." Bulletin of the Department of Geology 18 (January 23, 2017): 59–66. http://dx.doi.org/10.3126/bdg.v18i0.16457.

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The Malekhu Khola is accessible and potential for the construction materials in today’s developing phase. The study mainly concerns with mining of construction aggregate and effect of indiscriminate mining from river and its basin area which may impose many harmful effects on environment. The objective of the study is to identify the condition of river using morphological and physical parameters, and to investigate the factors which are directly responsible for the environmental degradation. Such study of rivers in present context is essential as it provides insights of strength of the river.
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