Study on the Impact of Massive Refracturing on the Fracture Network in Tight Oil Reservoir Horizontal Wells

Class III tight oil reservoirs have low porosity and permeability,which are often responsible for low production rates and limited recovery.Extensive repeated fracturing is a well-known technique to fix some of these issues.With such methods,existing fractures are refractured,and/or new fractures are created to facilitate communication with natural fractures.This study explored how different refracturing methods affect horizontal well fracture networks,with a special focus on morphology and related fluid flow changes.In particular,the study relied on the unconventional fracture model(UFM).The evolution of fracture morphology and flow field after the initial fracturing were analyzed accordingly.The simulation results indicated that increased formation energy and reduced reservoir stress differences can promote fracture expansion.It was shown that the length of the fracture network,the width of the fracture network,and the complexity of the fracture can be improved,the oil drainage area can be increased,the distance of oil and gas seepage can be reduced,and the production of a single well can be significantly increased.

Study on Adoption of 750 kV Voltage Class in Northwest China Power Network

This paper introduces the selection and scheme demonstration of higher voltage class in Northwest ChinaPower Network, and conclusions made by main research institutes and experts’ comments.[

Empirical Study on Growth of Evil Forces in Land Requisition and Relocation in City G of Hubei Province Based on Social Network Analysis

Using social network analysis method,this paper made an empirical study on growth of evil forces in land requisition and relocation in City G of Hubei Province. It obtained following results:(i) lawless developers and inefficient public security organs form interested parties of evil forces. Besides,the inward closeness centrality of evil forces is high,manifesting that evil forces independently possess decentralized power of network and have unscrupulous behavior in land requisition and relocation to a certain extent.(ii) Activities of evil forces have complicated spatial correlation and their geographical distribution is uneven,taking on irregular characteristics. In the field of land requisition and relocation,some evil forces are expandi Xng and spreading,while other forces are relatively weak. In conclusion,growth of evil forces comes from premeditation and collaboration of lawless developers,lack of functions and weak attack of public security organs; growth of evil forces has periodic changes,when in power,they will take opportunity to expand,while losing power,they will hide or even disappear.

Study on Security Technologies for Wireles Network Integration

The network integration provides users with a new network with long connection time and a high data rate when needed, but it also brings the defects of all the networks that integrate together into the integrated network. This will cause all kinds of existing and some new security problems in the operation of the integrated network. A complete protection based on recovery is proposed in the paper. It uses the public-key algorithm to authorize and private-key algorithm to encrypt the communicating data. This solution can provide the system with reliable security, and avoid Denial of Service (DoS) of the user. This solution has been proposed lately, and we should further identify the correct action of all the layers and figure out how to react when a legal node is framed by multiple malicious nodes.

A Study on the Inclusion of α-Cyclodextrin with Mono-and 1,4-Disubstituted Benzenes by Neural Networks

The association constant (Ka) values were calculated by the function-strengthen ing neural networks (FNN) for the inclusion complexation of α-CD with mono- and 1,4-disubstituted benzenes. The lnKa predicted by FNN from Rm, π and σ constants of substituents are in great agreement with the experimental data.

The default mode network is affected in the early stage of simian immunodeficiency virus infection:a longitudinal study

Acquired immune deficiency syndrome infection can lead to cognitive dysfunction represented by changes in the default mode network.Most recent studies have been cross-sectional and thus have not revealed dynamic changes in the default mode network following acquired immune deficiency syndrome infection and antiretroviral therapy.Specifically,when brain imaging data at only one time point are analyzed,determining the duration at which the default mode network is the most effective following antiretroviral therapy after the occurrence of acquired immune deficiency syndrome.However,because infection times and other factors are often uncertain,longitudinal studies cannot be conducted directly in the clinic.Therefore,in this study,we performed a longitudinal study on the dynamic changes in the default mode network over time in a rhesus monkey model of simian immunodeficiency virus infection.We found marked changes in default mode network connectivity in 11 pairs of regions of interest at baseline and 10 days and 4 weeks after virus inoculation.Significant interactions between treatment and time were observed in the default mode network connectivity of regions of interest pairs area 31/V6.R and area 8/frontal eye field(FEF).L,area 8/FEF.L and caudal temporal parietal occipital area(TPOC).R,and area 31/V6.R and TPOC.L.ART administered 4 weeks after infection not only interrupted the progress of simian immunodeficiency virus infection but also preserved brain function to a large extent.These findings suggest that the default mode network is affected in the early stage of simian immunodeficiency virus infection and that it may serve as a potential biomarker for early changes in brain function and an objective indicator for making early clinical intervention decisions.

Study on QoS and Communications Capacity in Heterogeneous Network Convergence

To provide any subscriber from anywhere at anytime with services that have both secured Quality of Service(QoS) and simultaneous expansion of network coverage and communications capacity is a key problem that has to be considered and solved in heterogeneous network convergence.Key technologies for a secured QoS and communications capacity analysis under heterogeneous environment are important subjects for research.Key technologies for a secured QoS are mainly on radio resource management algorithms covering Call Admission Control(CAC) algorithm,vertical handover algorithm,heterogeneous resource allocation algorithm and network selection algorithm.The applications of a novel multi-hop in heterogeneous convergence system serve the purposes of network coverage expansion,transmission power reduction,system communication capacity and throughput increase.

A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology

Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children.

Internet and Telecom Network Technologies Study

The existing Internet technologies and the original Internet design concept cannot meet the requirement of development, due to the fast development of the Internet, great changes of the Internet user groups and the tremendous transformation of the Internet external environment. The Internet is at a development crossroad; and its direction of development has attracted great attention from the world. On the other hand, the telecom industry is in a rather passive position as the result of the great impact the Internet technology has posted on it. The telecom industry has failed in defining its own developing direction and technology breakthrough; therefore, it is also at a crossroad. The development of both the Internet and the telecom networks will lead to the development of Next Generation Network (NGN) technologies. Industrial attention and research should be focused on the key NGN technologies, solutions to problems in the development of these technologies, and their commercialization in a short term.

Artificial Neural Networks in Risk Management: A Bibliometric Study

This study presents a bibliometric analysis of Artificial Neural Networks in Risk Management.The study considered articles from the I.S.I.Web of Knowledge and Scopus databases,Identification of publishers,countries,periodicals and the keywords most frequently cited.We used the CiteSpace® software to analyze this material,which provides a set of features to support bibliometrics,including the reference maps.This study provides data collection on Artificial Neural Networks applied to risk management.The number of works identified in this study is significant,and in the last ten years,the number of citations has increased.We did not identify the increase in paper count within the same period.

Network Connection and Energy Radiation through Grassroots Master Teacher Studios--A Case Study Based on Distributed Perspective

Distributed leadership is a collective leadership mode in which multiple members of the organization dynamically share leadership roles according to changes in capability and environment,so as to achieve leadership sharing and leadership energy radiation.Facing the distributed leadership practice of Master Teacher Studio that really occur in education management can make our understanding and description of its original ecological and endogenous construction process more objectively,meticulously and deeply.Through the generation and expansion of the case studio with the characteristics of"grassroots",the empowerment and differentiation of leaders,the stimulation and radiation of members leadership,the generation process of"grassroots"Master Teacher Studio from the initial construction of"uniline"mode to"network"distribution connection,and the radiation process of Master Teacher Studio members'energy from"uninuclear transmission"to"multinuclear connection".Thus,it will realize the organic integration of Western distributed leadership theory and localized grassroots master teachers'studio practice.

Experimental Study of Primary School Students’Independent Reading Based on the Network Teaching Platform

The development of information technology, especially the rise of online teaching platforms, has changed the way people read and the methods they use. Under this influence, primary school students’ independent reading has also been changed. However, due to limited self-control and understanding, primary school students face certain difficulties when using online teaching platforms for independent reading. Advantages and disadvantages of distance learning based on the network teaching platform were summarized in this paper. A one-year experiment study was carried out on our school fifth-grade students in independent reading using WeChat campus platform considering their current situation and existing problems of independent reading. In experiment study an independent reading mode was introduced. The results show that this reading mode can significantly improve students’ independent reading ability.

Structural and functional connectivity of the whole brain and subnetworks in individuals with mild traumatic brain injury:predictors of patient prognosis

Patients with mild traumatic brain injury have a diverse clinical presentation,and the underlying pathophysiology remains poorly understood.Magnetic resonance imaging is a non-invasive technique that has been widely utilized to investigate neuro biological markers after mild traumatic brain injury.This approach has emerged as a promising tool for investigating the pathogenesis of mild traumatic brain injury.G raph theory is a quantitative method of analyzing complex networks that has been widely used to study changes in brain structure and function.However,most previous mild traumatic brain injury studies using graph theory have focused on specific populations,with limited exploration of simultaneous abnormalities in structural and functional connectivity.Given that mild traumatic brain injury is the most common type of traumatic brain injury encounte red in clinical practice,further investigation of the patient characteristics and evolution of structural and functional connectivity is critical.In the present study,we explored whether abnormal structural and functional connectivity in the acute phase could serve as indicators of longitudinal changes in imaging data and cognitive function in patients with mild traumatic brain injury.In this longitudinal study,we enrolled 46 patients with mild traumatic brain injury who were assessed within 2 wee ks of injury,as well as 36 healthy controls.Resting-state functional magnetic resonance imaging and diffusion-weighted imaging data were acquired for graph theoretical network analysis.In the acute phase,patients with mild traumatic brain injury demonstrated reduced structural connectivity in the dorsal attention network.More than 3 months of followup data revealed signs of recovery in structural and functional connectivity,as well as cognitive function,in 22 out of the 46 patients.Furthermore,better cognitive function was associated with more efficient networks.Finally,our data indicated that small-worldness in the acute stage could serve as a predictor of longitudinal changes in connectivity in patients with mild traumatic brain injury.These findings highlight the importance of integrating structural and functional connectivity in unde rstanding the occurrence and evolution of mild traumatic brain injury.Additionally,exploratory analysis based on subnetworks could serve a predictive function in the prognosis of patients with mild traumatic brain injury.

Discontinuity development patterns and the challenges for 3D discrete fracture network modeling on complicated exposed rock surfaces

Natural slopes usually display complicated exposed rock surfaces that are characterized by complex and substantial terrain undulation and ubiquitous undesirable phenomena such as vegetation cover and rockfalls.This study presents a systematic outcrop research of fracture pattern variations in a complicated rock slope,and the qualitative and quantitative study of the complex phenomena impact on threedimensional(3D)discrete fracture network(DFN)modeling.As the studies of the outcrop fracture pattern have been so far focused on local variations,thus,we put forward a statistical analysis of global variations.The entire outcrop is partitioned into several subzones,and the subzone-scale variability of fracture geometric properties is analyzed(including the orientation,the density,and the trace length).The results reveal significant variations in fracture characteristics(such as the concentrative degree,the average orientation,the density,and the trace length)among different subzones.Moreover,the density of fracture sets,which is approximately parallel to the slope surface,exhibits a notably higher value compared to other fracture sets across all subzones.To improve the accuracy of the DFN modeling,the effects of three common phenomena resulting from vegetation and rockfalls are qualitatively analyzed and the corresponding quantitative data processing solutions are proposed.Subsequently,the 3D fracture geometric parameters are determined for different areas of the high-steep rock slope in terms of the subzone dimensions.The results show significant variations in the same set of 3D fracture parameters across different regions with density differing by up to tenfold and mean trace length exhibiting differences of 3e4 times.The study results present precise geological structural information,improve modeling accuracy,and provide practical solutions for addressing complex outcrop issues.

Decoding rural connections:A comparative insight into social network analysis in rural communities of China and beyond

Social Network Theory and methods have emerged as pivotal tools for dissecting intricate interdisciplinary issues in rural communities.This study aims to systematically delineate the application characteristics and trends of Social Network Analysis(SNA)in rural community research.Using a twofold approach,we integrate a traditional literature review and CiteSpace bibliometric analysis to assess the application status and evolutionary trends of SNA methods in this context.The key findings include the following:①Chinese research trends:scholars predominantly concentrate on the“three rural”issues(related to agriculture,rural areas,and small-scale farmers)and social support mechanisms for vulnerable rural populations.With policy shifts,rural revitalization,tourism,governance,social trust,and multi-dimensional poverty are poised to emerge as hot topics for the future.For further refinement,we suggest that the application of SNA in rural community research could benefit from content expansion,long-term studies,and innovative modelling techniques.②Research by international scholars has been primarily directed toward the physical and mental health of rural residents,as well as socioeconomic issues.Despite these studies covering a range of typical cases across various nations,a conspicuous lack of thorough,systematic,and prolonged efforts focused on rural community development in specific regions remains.Additionally,health issues affecting rural residents are expected to sustain long-standing and focused international academic attention.This study contributes to a more nuanced understanding of the current applications and potential future directions of SNA in rural community studies,both in China and internationally.

Systems psychopharmacology:A network approach to developing novel therapies

The multifactorial origin of most chronic disorders of the brain, including schizophrenia, has been well accepted. Consequently, pharmacotherapy would require multitargeted strategies. This contrasts to the majority of drug therapies used until now, addressing more or less specifically only one target molecule. Nevertheless, quite some searches for multiple molecular targets specific for mental disorders have been undertaken. For example, genome-wide association studies have been conducted to discover new target genes of disease. Unfortunately, these attempts have not fulfilled the great hopes they have started with. Polypharmacology and network pharmacology approaches of drug treatment endeavor to abandon the one-drug one-target thinking. To this end, most approaches set out to investigate network topologies searching for modules, endowed with "important" nodes, such as "hubs" or "bottlenecks", encompassing features of disease networks, and being useful as tentative targets of drug therapies. This kind of research appears to be very promising. However, blocking or inhibiting "important" targets may easily result in destruction of network integrity. Therefore, it is suggested here to study functions of nodes with lower centrality for more subtle impact on network behavior. Targeting multiple nodes with low impact on network integrity by drugs with multiple activities("dirty drugs") or by several drugs, simultaneously, avoids to disrupt network integrity and may reset deviant dynamics of disease. Natural products typically display multi target functions and therefore could help to identify useful biological targets. Hence, future efforts should consider to combine drug-target networks with target-disease networks using mathematical(graph theoretical) tools, which could help to develop new therapeutic strategies in long-term psychiatric disorders.

Establishment of the GPS Monitoring Network in North China, the Relation of Horizontal Crustal Movement to Stress Field and Seismicity

In the paper, the establishment, measurement, data-processing program and monitoring accuracy of the GPS seismic monitoring network in North China, especially in the Capital-Circle area, have been presented briefly. The relation of horizontal crustal deformation to tectonic movement, stress-field variation and seismicity has been analyzed in detail. The results indicate that the accuracy of GPS measurement has reached the order of 10-9 and the annual rate of horizontal crustal deformation in North China is about 4 ~5 mm. Horizontal crustal movement is a direct indication of the regional stress field. Therefore, by monitoring the time-sequence variation of horizontal crustal motion, it would be possible to investigate the change in the stress field, to analyze the tendency of seismicity and to determine the seismogenic zones.

A New Coordinated Transition-metal Linked Network Compound Constructed by Octamolybdate Chain

A novel transition-metal ion coordination-linked network compound {Na4[Co- (H2O)2(NH2NH2)2Mo8O27]?16H2O}n 1 was synthesized by the reduction reaction of Na2MoO4? 2H2O, NH2NH2?2HCl and Co(OAc)2?4H2O in aqueous solution at ambient temperature and structurally characterized. Crystal data for 1: triclinic system, space group P1, a = 9.5544(2), b = 9.8640(2), c = 11.6338(3) ?, α = 103.3790(10), β = 100.5600(10), γ = 96.2750(10)o, V = 1035.32(4) ?3, Z = 1, Dc = 2.789 g/cm3 and R = 0.0453. The X-ray crystal structure analysis shows that 1 is constructed by octamolybdate anions linked via corner-sharing interactions and hetero-metal links into the polymeric anionic sheet [Co(H2O)2(NH2NH2)2Mo8O27]n 4n-, and further allied by [Na4(H2O)12]n 4n+ sodium chains into a 3D framework with z-shaped channels. The mag- netic study of compound 1 indicates that weak antiferromagnetic coupling interaction occurs be- tween the cobalt centers.

Getting the Balance Right in Intercultural Groups: A Dynamic Social Network Perspective

Problem: A common assumption is that students prefer to select their friends for group-work. The prime goal of this study was to understand the impact of two group selection methods on how students from diverse cultural backgrounds build learning and work relations. Method: Social Network Analysis in a pre-post test manner in a quasi-experimental design of 81 vs. 70 third-year students. Solution: In this study, we “disrupted” this group selection process after Day 1 by balancing students from different parts of the social network together. In one condition the students were “balanced” into groups by staff to encourage structural hole formation, and in the other condition students were allowed to self-select their group members to encourage network closure. Results: Students in the self-selected condition primarily selected their friends from a similar cultural background. In both conditions the learning networks after 11 weeks were primarily predicted by the group allocation and initial friendships. However, students in the balanced condition developed more cross-cultural learning links. These results indicate that teachers can actively intervene in the cross-cultural dynamics in- and outside the classroom.