Cryptocurrency is playing an increasingly important role in reshaping the financial system due to its growing popular appeal and mechant acceptance. While many people are making investments Cryptocurrency, dynamical features, uncertainty, predictability of still mostly unknown, which dramatically risk investments. It a matter try understand factors that infiuence value formation. In this study, we use advanced artificial intelligence frameworks fully connected Artificial Neural Network (ANN)...

Coal mine solid waste backfill is a coal mining method employed to safeguard subterranean and surface geological formations, as well water resources, against impairment. It stands pivotal technical approach for realizing ecologically sustainable endeavors, aiming address China’s predicament of ’three down’ pressure, gangue emissions, land resource scarcity. This manuscript delves into an in-depth exploration the evolution research status pertaining technology, encompassing materials, rock...

This study examined the causal relationship among transactional leadership and transformational as well dimensions of trust organizational commitment, confirmed cognitive affective play mediators between commitment from Taiwan’s hotel employees’ perceptive. Results showed that had positive influences on trust. Transactional negative effect Cognitive continuance commitment. Affective normative played a full mediator partial

This paper investigates the path planning problem of coal mine solid-filling and pushing mechanism proposes a hybrid improved adaptive genetic particle swarm algorithm (AGAPSO). To enhance efficiency accuracy planning, combines optimization (PSO) (GA), introducing sharing local search capability algorithm. The for scenario is optimized by dynamically adjusting parameters to accommodate different environments. Subsequently, proposed algorithm’s effectiveness in filling equipment...

Our goal is to solve the complexity of laying down wiring for traditional monitoring systems mine water, while taking into account poor timeliness sampling and continuous monitoring, based on processing reuse water. In this article, we focus theory multi-sensor networks estimate water quality, quantity equipment, Internet Things (hereafter denoted "IoT") communication systems. We designed a IoT system wireless developed an experimental platform This has advantages simple strong...

Aiming at the problem of inefficiency coal mine water reuse, a multi-level scheduling method for reuse based on an improved whale optimization algorithm is proposed. Firstly, objects time and cost are used to establish optimal model water. Secondly, in order overcome defect that (WOA) prone local convergence, opposition-based learning strategy introduced speed up convergence speed, Levy flight enhance ability jump out optimization, nonlinear factor balance global search ability, adaptive...

Formaldehyde (FA) is an irritating, highly reactive aldehyde that widely regarded as asthmagen. In addition to its use in industrial applications and being a product of combustion reaction endogenous metabolism, FDA-regulated products may contain FA or release fumes present toxicity risks for both patients healthcare workers. Exposure airborne associated with nasal neoplastic lesions animals humans. It classified Group 1 carcinogen by International Agency Research on Cancer (IARC) based the...

This article addresses the issues of unreasonable water scheduling and high costs in coal mine shafts, proposing a hierarchical optimization strategy. Taking quality quantity certain mining area Inner Mongolia as research object, it designs objective function with highest reuse efficiency lowest cost resources, establishes constraint conditions for each water-using unit. In response to problem that traditional genetic algorithms are prone local optima, an adaptive autobiographical operator...

Nanopore sequencing is one of the most promising technologies Third-Generation Sequencing (TGS). Since 2014, Oxford (ONT) has developed a series devices based on nanopore to produce very long reads, which an expectable impact genomics. However, reads expose fairly high error rate owing difficulty determining DNA bases from complex electrical signals. Although number basecalling tools have been for over past years, there still challenge correct sequences after procedure by now. In this study,...

This paper presents a new color-based approach for automated segmentation and classification of tumor tissues from microscopic images. The method comprises three stages: (1) color normalization to reduce the quality variation tissue image within samples individual subjects or different subjects; (2) automatic sampling eliminate tedious time-consuming steps; (3) principal component analysis (PCA) characterize features in accordance with standard set training data. We evaluate algorithm by...

High temperature and hypoxia greatly threaten marine life aquaculture. Scallops, a diverse ecologically important group of high economic value, mostly thrive in fluctuating environments, are vulnerable to environmental stress. In the present study, molecular response mechanism scallops combination stressors was investigated via transcriptome analysis gill tissues three scallop species, Yesso ( Patinopecten yessoensis ), Zhikong Chlamys farreri ) bay Argopecten irradians that were exposed...

// Linlin Yang 1, 2, * , Qiaoying Lv 3, Wei Chen 1 Jian Sun Yu Wu Yiying Wang 4 Xiong 2 Xiaojun 3 and Zhenbo Zhang The Reproductive Medicine Center of Department Obstetrics Gynecology, Shanghai General Hospital, Jiao Tong University, 200080, China First People's Baoshan Branch, 201900, Gynecology Hospital Fudan 200011, Henan Province Zhengzhou 450000, These authors have contributed equally to this work Correspondence to: Zhang, email: zhangzhenbozzb@aliyun.com Keywords: embryonic culture...

The waste mine water is produced in the process of coal mining, which main cause flood and environmental pollution. Therefore, economic treatment efficient reuse one research directions mining area at present. It an urgent problem to use intelligent algorithm realize optimal allocation water. In order solve this problem, paper first designs a mathematical model according system, includes rate, cost different stages operational efficiency whole system. Then, hybrid optimization algorithm,...

Semitransparent organic solar cells (STOSCs) exhibit great potential for electricity-generating windows, self-powered greenhouses, and vehicle-integrated building-integrated photovoltaics, with their tunable absorption spectrum rapidly improved power conversion efficiencies (PCEs). PCE average visible transmittance (AVT) are two key parameters to be moderated STOSCs. In this work, we report efficient STOSCs that can maintain over 85% efficiency of the opaque OSCs at an AVT 22.5%, enabled by...

Stock market is one of the most important components financial system. It directs money from investors to support activity and development associated company. Therefore, understanding modeling stock price dynamics become critically important, in terms system stability, investment strategy, risk control. To better model temporal price, we propose a combined machine learning framework with information theory Artificial Neural Network (ANN). This method creatively uses entropy inform non-linear...

Abstract Sequencing strategies have continually advanced, with high-throughput sequencing (HTS) technologies emerging as pivotal tools in plant phylogenomics. As a standard form of target capture sequencing, hybridization enrichment (Hyb-seq) is innovative and flexible, then HTS strategy widely adopted The universal Angiosperms353 probe sets (Angiosperms353) are instrumental Hyb-seq been witnessed increased application recent years. This review integrates numerous publications empirical...

Automated segmentation of nerve cell in microscopic image is an important task neural researches. We proposed a multi-scale watershed-based approach to cope with this analysis problem. There are three stages the algorithm: (1) watershed scheme used estimate initial location nuclei; (2) we can identity nuclei according properties and results different scale; (3) Once possible identified as true one, fuzzy rule based Active Contour Model (ACM) applied find optimal outer contour. Our segment...