Kinds Of Factors Research Articles

Investigation of laser active reconnaissance system performance based on its parameters

Laser active reconnaissance technology is one of the important technologies in the field of optoelectronic countermeasures. However, the Laser active reconnaissance effect is affected by various kinds of factors. According to the process of laser active reconnaissance, the laser active reconnaissance model is established. Furthermore, the echo power and the relationship between the power and various factors are simulated and analyzed. The results show that the echo power is subject to laser divergence angle, atmospheric visibility, angle of incidence and other factors. Among them, the divergence angle has the greatest influence on echo power, followed by the laser incident angle. The slight increase of laser divergence angle and laser incident angle will cause the echo power to drop sharply. However, the slight increase of receiving aperture of cat eye optical window will lead to the echo power increase rapidly. Therefore, in order to obtain the maximum laser echo power in specific application environment, it is necessary to select appropriate parameters for laser active reconnaissance system.

Bacteriological and geochemical features of the groundwater resources: Kettara abandoned mine (Morocco)

Waste water of the Kettara village, as well as the abandoned tailings, constitute a potential environmental issue with direct consequences on air, soil, water resources qualities and, on human health. In this paper, experimental investigations examine the environmental impact which is induced by the wastewater, mine tailings and the lithological factors of rocks. This multidisciplinary research allows to i) understand the transfer of the Metallic Trace Elements (selenium, arsenic, nickel and zinc) and sulfate ions in the fractured shales media, ii) to assess the water potability by using the microbiological analysis. The microbiological results reveal the domestic impact by the presence of several kinds of bacteria in the groundwater resources: E. coli, Fecal coliforms, Total coliforms, Enterococci, Mesophilic Aerobic Flora, Sulphite-reducing bacteria and Salmonella.Selenium, arsenic and the bacteriological contamination of the groundwater could be explained by five kinds of factors: i) the geological formations and the nature of the hydrogeological system (unconfined layer), ii) the groundwater flow, the hydraulic relation between the hydrogeological wells and, the fractures network in the shale aquifer. The piezometric map allows to highlight the groundwater flow from the North-East to North-West and to the South-West, the drainage axis towards the P21 well and the presence of the dividing axis in the contaminated zone by the arsenic, iii) the absence of the unhealthy habitats with permeable traditional septic tanks in the village; iv) the transfer of the spreading animal excrements from the soil to groundwater and, v) the migration of the wastewater towards downstream of the groundwater flow. The presence of the reed beds could explain the reduction of bacteria in the hydrogeological wells of the study area.

Perceived Institutional Restraint Is Associated With Psychological Distress in Forensic Psychiatric Inpatients.

Background: Patients in forensic mental health care experience internal and external coercion; the latter comprises different levels of institutional restraint. These restrictions of individual freedom are mainly justified by the safety interests of third parties and are not necessarily in the patients’ best interests. The effects of such a setting on mentally disordered offenders’ psychological state and treatment course are not fully understood. Assessing both patients’ perception of restraint and psychopathological symptoms would allow us to better understand how restraint and psychopathology interact and how they might influence treatment. Methods: In 184 forensic psychiatric inpatients, we assessed perception of institutional restraint with an adapted version of the Measuring the Quality of Prison Life (aMQPL) questionnaire and current psychological state with the Brief Symptom Checklist (BSCL) and Beck Hopelessness Scale (BHS). Results: Perceived institutional restraint (as expressed in the aMPQL subscales Transparency of procedures and decisions, Fairness, and Respect) was associated with a higher general level of psychological symptoms. Furthermore, patients who perceived a lack of institutional transparency and respect were more likely to have higher scores for hostility, depression, and suicidal ideation. We also found age and sex differences, with higher levels of psychological symptoms in younger and female patients. The diagnosis and duration of detention did not relate to perceived restraint. Discussion: Our results indicate that certain aspects of institutional restraint in long-term forensic inpatient settings correlate with certain psychological symptoms. The observed association might be explained by different kinds of factors: institutional (custodial focus), individual (self-efficacy, diagnosis, and personality), and situational (duration of detention). Although not all of these explanatory factors were addressed by the present study design, forensic mental health professionals should be aware of the relationship between perceived institutional restriction and psychopathology because it might influence treatment course and outcome.

Influence on crack profiles of multi-layered Al/CFRP hybrid composites by using FE simulation

This study aims to investigate a finite element analysis on Al/CFRP Hybrid composites with a flaw in-between bonding surfaces. 2D model was considered to simplify the 4-layered structures with a circular flaw. The determination of debonding condition on multi-layered hybrid composites is subtle because the crack paths are unpredictable. In this model, the crack profiles depend on the applied stress, materials, bonding strengths and initial shapes of the flaw. The main idea is to find the key reason of failure on this material by means of fracture mechanics approach. The crack opening profiles are interesting to determine what kinds of factors are more influential for the structure. Williams expansion was used to analyze the profiles by the simulation results. We finally take into account the results to discuss the main fracture mechanism with the influential factors.

Research on Developers’ Green Procurement Behavior Based on the Theory of Planned Behavior

In recent years, environmental problems in the construction industry have become increasingly prominent and need to be improved. The production and use of building materials remain one of the main causes of various eco-environmental problems in the construction industry. Compared with traditional building materials, green building materials are environmentally friendly and safer to the human body. Therefore, the promotion of green building materials in the construction industry can handle the eco-environmental problems of the industry to a great extent, and promote the green and low-carbon development of the industry. As the main buyer of building materials products, developers shoulder the responsibility of promoting the development of green building materials. The research on the green purchasing behavior of developers is conductive to winning a good reputation for developers and promoting the sustainable development of the construction industry. However, few scholars have focused on the in-depth research on the impact of developers’ green procurement behavior. Based on the theory of planned behavior, this study analyzes the problem of the developers’ green procurement using the structural equation model in the way of the questionnaire. The results showed that subjective norms and perceived behavior control factors exerted a significant influence on developers’ green procurement (GP) behavior attitude. The subjective norm, perceived behavior control, and other factors indirectly affected developers’ GP behavior through behavior intention. The influence mechanism of perceptual behavior control on developers’ GP behavior is more complicated, and the degree of influence is the greatest among the three kinds of factors. According to the research results, this paper puts forward some suggestions to promote developers to actively implement GP behavior. The results help to promote the GP behavior of developers and promote the planning development of green buildings. In addition, on the basis of a quantitative theoretical model, this paper finds out the key factors that influence the behavior of GP from the point of view of developers, enriches the theory and method of GP research, as well as complements the related literature of GP research. Future research will explore GP behavior from the perspective of other stakeholders and from the developers’ internal level.

Nuclear Power Plant Maintenance Optimisation: Models, Methods & Strategies

Maintenance activities are very important for the complex and high-risk installations, especially for Nuclear Power Plant. Good maintenance will be able to minimise loss of production, reducing the cost of the electricity generation, and/or reducing the risk. However, there are many issues to make a good maintenance program, such as regarding limitation of reliability data, the complexity of the system, (in)dependency failure mechanism, unpredictable spare parts supply chain, accessibility for maintenance and repair, environmental limitation, human resources, management, regulation, etc. Many studies have been done by researchers and engineers from various sectors to optimising maintenance activities. We have studied several kinds of available literatures, especially that can be used for the nuclear industry. By using proposed maintenance framework, we would like to describe Nuclear Power Plant maintenance optimisation studies that have been done systematically. We also did a critical review and gap identification between scholar studies and real applications and then classified them to provide more easy understanding information that can be used as an information for the future development. Based on our study, there is a wide gap between academic study and implementation. Although many models, methods, and strategies have been proposed, most of the NPPs in the world are using traditional approach by following time-based and breakdown maintenance strategies. There are such kinds of factors, such as because of the regulatory framework barrier, weak relationships between stakeholders and regarding data availability. Future studies to explore those problems are needed.

Efficient regular expression matching on LZ77 compressed strings using negative factors

The state-of-the-art approaches for regular expression matching on LZ78 compressed strings do not perform efficiently. Moreover, LZ78 compression has some shortcomings, such as higher compression ratio and slower decompression speed than LZ77 (a variant of LZ78). In this paper, we study regular expression matching on LZ77 compressed strings. To address this problem, we propose an efficient algorithm, namely, RELZ, utilizing the positive factors, i.e., the prefix and the suffix, and negative factors (Negative factors are substrings that cannot appear in an answer.) of the regular expression to prune the candidates. For the sake of quickly locating these two kinds of factors on the compressed string without decompression, we design a variant of suffix trie index, called SSLZ. We construct bitmaps for factors of regular expression to detect candidates. Moreover, due to the high space cost of SSLZ, we propose a variant index that partially maintain suffixes of the phrases with high frequency and develop an efficient regular expression algorithm based on the novel index, namely, RELZ+. In addition, two optimization strategies employing block filtering and LZ filtering are proposed to prune false negative candidates. At last, we conduct a comprehensive performance evaluation depending on four real data sets to validate our ideas and the proposed algorithms. The experimental results show that our RELZ and RELZ+ algorithms significantly outperform the existing algorithms.

A Mathematical Model of Clinical Diagnosis and Treatment on the Method of Fuzzy Duster Analysis

In the process of this paper, all the factors related to cervical scoliosis can be grouped into 6 kinds of factors (5 levels), and all the possibilities of the cervical scoliosis can be divided into five classes. A fuzzy logic study was performed on 318 patients who had undergone cervical scoliosis with our hospital from August 2013 to August 2018. And the clinical diagnosis and treatment on the method of fuzzy duster are analyzed with the mathematical model be established. Then, we study a new differentiated diagnosis method of cervical torticollis (scoliosis) by an Asian wild horse with fuzzy mathematics, and successfully treated after cervical nerve plexus block.

F.A.I.L., First Attempt In Learning: Mit és hogyan tanulhatunk a sikertelen vállalkozásfejlesztési mentorálási folyamatokból?

THE AIM OF THE PAPER The goal of the current study is to introduce typical failures in entrepreneurial mentoring processes in order to be able draw up a theoretical framework for successful mentoring relationship. Benchmarking could be useful in building up a model, but one could learn not only from good, but also from bad practices. METHODOLOGY The study is based on literature review and nine, semi-structured in-depth interviews – as a part of a mix-methodology research in topic of entrepreneurial mentoring process and its influencing factors – with a focus on unsuccessful mentoring relationships. Data were analysed by NVivo content analysing software. MOST IMPORTANT RESULTS According to results five intervention or developmental area could be identified as key influencers of a successful mentoring relationship: external effects (1), mentor-based factors (2), or mentee-based influencers (3), factors connecting frames (4) or iatrogenic, in-use effects (5). RECOMMENDATIONS The research highlighted, that effective and successful mentoring processes could be lead not only with the application of good practices, but also in a bad practice avoiding mode, where both the mentor and the mentee knows, what kind of factors could negatively influence the process and could lead an unexpected, before goal completion ending.

Perception of Political Leadership in Local Governments in Latvia

Theme of the paper is political leadership in local governments in Latvia. The work uses secondary data analysis and case studies. The aim of the study is to find out what kind of role does the chairperson of the municipality have as a political leader and what kinds of factors are influencing him/her. The results revealed that formally the chairperson of the municipality has no decisive influence on the municipality and that both types of factors (internal and external) interact with each other limiting the political leader’s (chairperson’s of a municipality) freedom of action.

The Professional Practice of Beginning Teachers in Primary Education in Mexico. A Case of Study in Monterrey, Nuevo Leon, Mexico

Within the framework of experiences of teaching reflection on professional practice, the research arose from the need to know what is the professional practice of beginning teachers in primary education and what kind of factors and problems are incidental to its exercise. The general objective is to explore and describe the characteristics of the professional practice of the beginning teachers, identifying the allelic dimensional factors that intervene in them, as well as the problems they face in the classroom. The theoretical framework of the study places the responsibilities of the beginning teacher in the teaching task; the qualitative methodology of descriptive type allowed the analysis of information through interviews, observations and focus groups to a sample of 15 beginning primary school teachers from the city of Monterrey, Nuevo Leon, Mexico. The categories of Dorfsman (2012) were the foundation of the investigative construct. It is concluded and confirmed that the transition of the training process towards the real practice of the professional practice of the beginning teachers in primary education means that their acting in the classroom is in some cases limited and in other cases benefited by problems and factors of professional and personal type, as well as their initiative and creativity in their teaching work.

A conceptual framework to understand student volunteerism

This paper develops a conceptual framework to understand the value of an increasing number of university study programmes that send students to the global south to learn through volunteering. We ask what determines the benefit that these activities bring to the host community. To understand this, we conceptualise these activities as student volunteerism and propose a framework to understand the value of these activities based on a previously developed framework for volunteer tourism. We examine a single case study of a minor programme in a Dutch university, exploring how course design and student selection affect student behaviour as an antecedent step to creating student benefits. We identify six kinds of factors that appear to promote ‘deeper’ (better) contributions and argue that these six factors require further analysis to better realise university contributions to societal development in Global South contexts.

Improved Voltage Drop Compensation Method for Hybrid Fuel Cell Battery System

In this paper, a voltage drop compensation method for hybrid hydrogen fuel cell battery system, with a hydrogen recirculation powering a forklift, is studied. During recirculating hydrogen fuel to recycle hydrogen that has not reacted enough at the system, impurities can be mixed with the hydrogen fuel. This leads to low hydrogen concentration and a drop in the output voltage of the fuel cell system. In excessive voltage drop, the fuel cell system can be shutdown. This paper proposes a voltage drop compensation method using an electrical control algorithm to prevent system shutdown by reducing voltage drop. Technically, voltage drop is typically caused by three kinds of factors: (1) The amount of pure hydrogen supply; (2) the temperature of fuel cell stacks; and (3) the current density to catalysts of the fuel cell. The proposed compensation method detects voltage drop caused by those factors, and generates compensation signals for a controller of a DC–DC converter connecting to the output of the fuel cell stack; thus, the voltage drop is reduced by decreasing output current. At the time, insufficient output current to a load is supplied from the batteries. In this paper, voltage drop caused by the abovementioned three factors is analyzed, and the operating principle of the proposed compensation method is specified. To verify this operation and the feasibility of the proposed method, experiments are conducted by applying it to a 10 kW hybrid fuel cell battery system for a forklift.

Quantifying how constraints limit the diversity of viable routes to adaptation.

Convergent adaptation occurs at the genome scale when independently evolving lineages use the same genes to respond to similar selection pressures. These patterns of genetic repeatability provide insights into the factors that facilitate or constrain the diversity of genetic responses that contribute to adaptive evolution. A first step in studying such factors is to quantify the observed amount of repeatability relative to expectations under a null hypothesis. Here, we formulate a novel index to quantify the constraints driving the observed amount of repeated adaptation in pairwise contrasts based on the hypergeometric distribution, and then generalize this for simultaneous analysis of multiple lineages. This index is explicitly based on the probability of observing a given amount of repeatability by chance under a given null hypothesis and is readily compared among different species and types of trait. We also formulate an index to quantify the effective proportion of genes in the genome that have the potential to contribute to adaptation. As an example of how these indices can be used to draw inferences, we assess the amount of repeatability observed in existing datasets on adaptation to stress in yeast and climate in conifers. This approach provides a method to test a wide range of hypotheses about how different kinds of factors can facilitate or constrain the diversity of genetic responses observed during adaptive evolution.

Statistical properties of market collective responses

We empirically analyze the price and liquidity responses to trade signs, traded volumes and signed traded volumes. Utilizing the singular value decomposition, we explore the interconnections of price responses and of liquidity responses across the whole market. The statistical characteristics of their singular vectors are well described by the $t$ location-scale distribution. Furthermore, we discuss the relation between prices and liquidity with respect to their overlapping factors. The factors of price and liquidity changes are non-random when these factors are related to the traded volumes. This means that the traded volumes play a critical role in the price change induced by the liquidity change. In contrast, the two kinds of factors are weakly overlapping when they are related to the trade signs and signed traded volumes. Hence, an imbalance of liquidity is related to the price change.

FOR PROGNOSIS OF INNOVATIVE DEVELOPMENT OF ENTERPRISES

The article highlights the main methodology about the elaborating prognosis resulting from actually of prognosis on the development of scientific –technical and innovative sphere. About their principles; if shows models of prognosis of innovative development, peculiarities of tasks that should be solved while choosing and fulfilling instruments, also specifies of original information and kinds of factors. The article has studied versions of macro economical development of prognosis, main stages of compiling prognosis and structural models. The work has examined and presented conclusions about main directions to support a state in innovative business, about completing the mechanism in innovative funding.

Framing and Bias: A Literature Review of Recent Findings

Framing bias is an individual decision-making misconception caused by the fact that a person interprets the surrounding world according to a decision frame chosen by her or his subjective opinion. This article aims to review various kinds of factors that cause and affect framing or lead to debiasing, i.e. a decrease in the resulting framing bias. The objective of the study is carried out using a literature review that analyzes recent empirical studies. As a result, numerous factors are identified that according to the studies have an impact on framing. It transpires that four broader groups of these factors can be established – decision situation setup (amount of information, additional presentation of options), experience (knowledge, engagement), effort (attention, complexity, the amount of information to process) and demographics (gender, nationality).

Outcome predictors in the management of intramedullary classic ependymoma: An integrative survival analysis.

This is a retrospective study.The aim of this study was to illustrate the survival outcomes of patients with classic ependymoma (CE) and identify potential prognostic factors.CE is the most common category of spinal ependymomas, but few published studies have discussed predictors of the survival outcome.A Boolean search of the PubMed, Embase, and OVID databases was conducted by 2 investigators independently. The objects were intramedullary grade II ependymoma according to 2007 WHO classification. Univariate Kaplan–Meier analysis and Log-Rank tests were performed to identify variables associated with progression-free survival (PFS) or overall survival (OS). Multivariate Cox regression was performed to assess hazard ratios (HRs) with 95% confidence intervals (95% CIs). Statistical analysis was performed by SPSS version 23.0 (IBM Corp.) with statistical significance defined as P < .05.A total of 35 studies were identified, including 169 cases of CE. The mean follow-up time across cases was 64.2 ± 51.5 months. Univariate analysis showed that patients who had undergone total resection (TR) had better PFS and OS than those with subtotal resection (STR) and biopsy (P = .002, P = .004, respectively). Within either univariate or multivariate analysis (P = .000, P = .07, respectively), histological type was an independent prognostic factor for PFS of CE [papillary type: HR 0.002, 95% CI (0.000–0.073), P = .001, tanycytic type: HR 0.010, 95% CI (0.000–0.218), P = .003].It was the first integrative analysis of CE to elucidate the correlation between kinds of factors and prognostic outcomes. Definite histological type and safely TR were foundation of CE's management.Level of Evidence: 4

Dynamic balance model the organizationaleconomic mechanism vertically-integrated structure in the defense industry

The relevance of this research lies not fully in impeccable situation [1, 2] in one of the most important issues of the reorganization of the military-industrial complex of Russia – the creation of vertically integrated structures (VIS). A vertically integrated structure (as defined in [2]) is regarded as the object of control [3]. The article describes the application of dynamic balance model to describe the interaction of enterprises within a vertically integrated structure (VIS). The applicability of the model to describe the production of VIS in the framework of production cooperation. The proposed classification of enterprises OPK on the criterion of the degree of localization of production process the final product of a vertically integrated structure. The stages of the full life cycle of the product. Marked with no alternative the inclusion in the VIS of scientific and research organizations of the corresponding profile to ensure that vertically-integrated structure of technological processes of each stage of the full life cycle. Is the use of a dynamic balance model for the formation of vertically integrated structures in the defense industry. Because decisionmaking in the economic field inevitably accompanied by the attendant effects in other fields – social, political, etc. [4], environmental factors [5], which is an economic system, vertically-integrated structure, it is necessary to consider all the factors. Dynamic balance model allows to consider (describe) all kinds of factors with a given level of detail [6]. The model allows to predict with a high degree of reliability [7, 8] the production capabilities of the industries of the military industrial complex, to take into account scientific and technical progress.

Molecular signature pathway of gene protein interaction in human mitochondrial DNA (mtDNA) metabolism linked disease

Abstract Mitochondrial DNA (mtDNA) contains approximately 37 numbers genes which encoded functional proteins that are essential for cellular energy production and regulation of biochemical process within human. Therefore, any kind of mtDNA abnormalities can initiate an energy calamity, ensuing in crucial mitochondrial diseases. It also depends on nuclear genes because its protein products properly help in mtDNA replication and maintenances of dNTP pools within cytosol and mitochondrial matrix part. Mitochondrial DNA dNTP synthesis comes from two broad categories: primarily mitochondrial salvage and cytosolic de novo pathways with the direct help towards some kind of factors and a variety of enzymes. However, defective mtDNA maintenance can lead to severe disease in humans which may have poor curative therapeutic accessible approaches. Existing research supports that a vast number of drugs and inhibitor components have played significant roles in regulating the mtDNA as well as dNTP pool alteration. The review will primarily focus on the protein regulatory pathways of mitochondrial deoxyribonucleotide (mtDNA) metabolism i.e. mtDNA synthesis, maintenances and its degradation with the connection of several mtDNA metabolism linked diseases.