25,982 research outputs found

    Search for heavy Majorana or Dirac neutrinos and right-handed WW gauge bosons in final states with charged leptons and jets in pppp collisions at s=13\sqrt{s}=13 TeV with the ATLAS detector

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    A search for heavy right-handed Majorana or Dirac neutrinos NRN_{\mathrm{R}} and heavy right-handed gauge bosons WRW_{\mathrm{R}} is performed in events with energetic electrons or muons, with the same or opposite electric charge, and energetic jets. The search is carried out separately for topologies of clearly separated final-state products (``resolved'' channel) and topologies with boosted final states with hadronic products partially overlapping and reconstructed as a large-radius jet (``boosted'' channel). The events are selected from pppp collision data at the LHC with an integrated luminosity of 139 fb1^{-1} collected by the ATLAS detector at s\sqrt{s} = 13 TeV. No significant deviations from the Standard Model predictions are observed. The results are interpreted within the theoretical framework of a left-right symmetric model, and lower limits are set on masses in the heavy right-handed WRW_{\mathrm{R}} boson and NRN_{\mathrm{R}} plane. The excluded region extends to about m(WR)=6.4m(W_{\mathrm{R}}) = 6.4 TeV for both Majorana and Dirac NRN_{\mathrm{R}} neutrinos at m(NR)<1m(N_{\mathrm{R}})<1 TeV. NRN_{\mathrm{R}} with masses of less than 3.5 (3.6) TeV are excluded in the electron (muon) channel at m(WR)=4.8m(W_{\mathrm{R}})=4.8 TeV for the Majorana neutrinos, and limits of m(NR)m(N_{\mathrm{R}}) up to 3.6 TeV for m(WR)=5.2m(W_{\mathrm{R}}) = 5.2 (5.05.0) TeV in the electron (muon) channel are set for the Dirac neutrinos.Comment: 48 pages in total, author list starting page 31, 9 figures, 5 tables, submitted to EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/EXOT-2019-39

    Total Quality Management as a Philosophy to Improve the Performance of the Academic Organization

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    Purpose: The purpose of this study is to examine the role of total quality management as a philosophy for improvement in the academic organization, as it represents a necessary trend in developing the activities of many organizations in the light of globalization and the challenges that these organizations face, in order to bring about fundamental developments, and the use of that philosophy as an effective means towards customer satisfaction and meeting his requirements.   Theoretical framework: Total quality management is regarded as one of the contemporary concepts that concentrates on a set of administrative principles; if it has been applied in organization, it will succeed in achieving quality.   Design/Methodology/Approach: To achieve the objectives of the study, a questionnaire of 60-item has been used. The sample comprised 65 academic staff members from various parts of the organization. According to the purpose of the study, two main hypotheses were formulated. A set of statistical method  of spss vr.24.  has been used.     Findings: It is concluded that supporting and adopting the total quality will be fruitful as a successful business philosophy for the continuity by creating appropriate requirements and conditions.   Research/Practical/Social Implications: Establishing the desire towards change by following the best by individuals and adopting stimulus programs that reinforce their ability to realize cognitive new ness.   Originality/Value:  The value of the study is that the organization's interest in the social aspect and its adoption confirms the organization's adaptation to the requirements of society

    The Role of Distinct Core Capabilities in Achieving Organizational Brilliance / An Exploratory Study of the Opinions of a Sample of Managers Working in the Iraqi General Company for Cement / Kufa Cement Factory

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    Purpose: The purpose of this study is to achieve several goals by defining the correlation and influence of distinct core capabilities (through its dimensions (organizational resources, human resources, capabilities)) in achieving organizational brilliance (through its dimensions of (brilliance in leadership, brilliance in service and innovation, brilliance in knowledge).   Theoretical framework: The research dealt with the theoretical aspect of the concepts related to the variable of distinct fundamental capabilities and organizational brilliance as they are modern and contemporary concepts and have an administrative nature on business organizations that seek excellence and leadership in their field of business, where the Kufa Cement Factory was chosen as an applied field to show the extent of applying the essential capabilities that have positive effects in Achieving organizational brilliance in the laboratory.   Design/methodology/approach: The questionnaire was used as a tool for collecting the necessary data and information, through an intentional sample of (124) represented by senior administrations, heads of departments, directors of divisions and units in the Kufa cement factory, and the descriptive analytical method was used mainly in Presentation, analysis and interpretation of research information.    Findings: The findings: Thebased on a set of statistical methods such as confirmatory factor analysis and structural equation modeling method to measure the effect relationship, arithmetic mean, standard deviation, coefficient of variation, modified analysis and Pearson correlation through statistical programs (SPSS V.24; Amos V.23).   Research, Practical &amp; Social implications: The Among the most prominent findings of the research is the interest of the Kufa Cement Factory management in adopting distinct core capabilities and rationalizing their use in terms of attention to organizational resources, improving the internal work environment, and directing employees to cooperate and follow helpful behaviors and work in a team spirit in order to ensure the improvement of manufacturing, achieving the necessary goals and strengthening the basic capabilities of the plant from It would improve the level of organizational brilliance in the future study.   Originality/value: The value of the study stems from its handling of an important sector, which is the industrial sector, as this sector is considered the most important and effective in the process of economic development

    Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access

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    In the massive machine-type communication (mMTC) scenario, a large number of devices with sporadic traffic need to access the network on limited radio resources. While grant-free random access has emerged as a promising mechanism for massive access, its potential has not been fully unleashed. In particular, the common sparsity pattern in the received pilot and data signal has been ignored in most existing studies, and auxiliary information of channel decoding has not been utilized for user activity detection. This paper endeavors to develop advanced receivers in a holistic manner for joint activity detection, channel estimation, and data decoding. In particular, a turbo receiver based on the bilinear generalized approximate message passing (BiG-AMP) algorithm is developed. In this receiver, all the received symbols will be utilized to jointly estimate the channel state, user activity, and soft data symbols, which effectively exploits the common sparsity pattern. Meanwhile, the extrinsic information from the channel decoder will assist the joint channel estimation and data detection. To reduce the complexity, a low-cost side information-aided receiver is also proposed, where the channel decoder provides side information to update the estimates on whether a user is active or not. Simulation results show that the turbo receiver is able to reduce the activity detection, channel estimation, and data decoding errors effectively, while the side information-aided receiver notably outperforms the conventional method with a relatively low complexity

    Delegation of Authority to the Performance of the Medical Staff and Its Relationship to Improving the Quality of Health Care in Palestine

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    The study aimed to identify the delegation of authority for the performance of the medical staff and its relationship to improving the quality of health care in Al-Shifa Medical Complex in the southern Palestinian governorates. Administrators, and technicians) with a total of 2150 employees, and the questionnaire was distributed to a stratified random sample of 330 employees, and 302 questionnaires were retrieved, with a rate of 91.5%. One of the most important results of the study was the existence of a statistically significant relationship between delegation of authority and the quality of health care. One of the most important recommendations of the study was to strengthen the direction of senior management towards excellence in patient service, because the patient represents a fundamental focus in health services

    Differential responses in some quinoa genotypes of a consortium of beneficial endophytic bacteria against bacterial leaf spot disease

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    Many effective plant-microbe interactions lead to biological changes that can stimulate plant growth and production. This study evaluated the effect of the interaction between quinoa (Chenopodium quinoa Willd.) and endophytic bacterial strains on differential responses under biotic stress. Four strains of endophytic bacteria were used to inoculate three quinoa genotypes. Endophytic bacteria, isolated from the endosphere of healthy genotypes of quinoa plants, were used to evaluate their biocontrol activity against Pseudomonas syringae on quinoa plants, which causes leaf spot disease, depending on some different parameters. Quinoa genotype plants were treated with four treatments: pathogenic bacteria only (T1), internal bacteria only (T2), pathogenic bacteria + endogenous bacteria (T3), and untreated as the control (T4). The results indicated that there was a significant difference between chlorophyll content index of infected plants without bioagent (untreated) compared to plants bio-inoculated with endophytic bacteria. The highest mean disease incidence was on the plants without bacterial inoculum (90, 80, and 100%) for quinoa genotypes G1, G2, and G3, respectively. The results showed that there were significant differences in the weight of grains/plant, as the value ranged from 8.1 to 13.3 g when treated with pathogens (T1) compared to the treatment with pathogens and endogenous bacteria (T3), which ranged from 11.7 to 18.6 g/plant. Decreases in total aromatic amino acids appeared due to the pathogen infection, by 6.3, 22.8, and 24.1% (compared to the control) in G1, G2, and G3, respectively. On the other hand, genotype G3 showed the highest response in the levels of total aromatic and total neutral amino acids. The endophytic strains promoted quinoa seedling growth mainly by improving nutrient efficiency. This improvement could not be explained by their ability to induce the production of amino acids, showing that complex interactions might be associated with enhancement of quinoa seedling performance by endophytic bacteria. The endophytic bacterial strains were able to reduce the severity of bacterial leaf spot disease by 30, 40, and 50% in quinoa genotypes G1, G2, and G3, respectively, recording significant differences compared to the negative control. The results indicated that, G1 genotype was superior in different performance indicators (pathogen tolerance index, yield injury %, superiority measure and relative performance) for grain weight/plant under pathogen infection condition when treated with endophyte bacteria. Based on this study, these bacterial strains can be used as a biotechnology tool in quinoa seedling production and biocontrol to diminish the severity of bacterial leaf spot disease

    Utilization of Different Concentration Sugarcane Molasses to the Quality of Goat Feces-Chicken Excreta-Coconut Husk Organic Liquid Fertilizer

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    Indonesia is an agricultural country that certainly has the potential for agricultural waste and by-products. Some of those in Indonesia are livestock manure, coconut husk, and sugarcane molasses. Utilization of this waste is limited, which is causing various environmental problems such as environmental pollution. The study is aimed to determine the quality of organic liquid fertilizer made by raw material from goat feces-chicken excreta-coconut husk with various sugarcane molasses concentrations (P0= 0%; P1= 5%; P3= 15%; P4= 20%; P5= 25%). The fermentation was carried out anaerobically for 21 days. The parameters of temperature, pH, organoleptic (color and odor), levels of C-organic, nitrogen (N) total, phosphorus (P) total, potassium (K) total, and biological tests were observed. Biological tests were conducted in the growth of mung bean (Vigna radiata) and spinach (Amaranthus tricolor). Data were analyzed using one-way ANOVA. Variations in the addition of molasses sugarcane did not affect the liquid fertilizer's temperature and pH during fermentation. However, the treatments had positive effect on organoleptic test, C-organic, N total, P total, K total, and biological tests. The addition of 15% sugarcane molasses (P3) showed a dominating performance toward most of the parameters tested. The P3 treatment produced liquid fertilizer with a pleasant smell, and the contents of C-organic, total N, total P, and total K were 2.12%, 0.25%, 0.13%, and 0.13%,  respectively. and produce spinach as a biological test with plant height, number of leaves, leaf width, stem diameter, and root length were 21.82 cm, 6.66 sheets, 3.59 cm, 4.09 mm, and 14.67 cm, respectively

    Efficacy of Information Extraction from Bar, Line, Circular, Bubble and Radar Graphs

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    With the emergence of enormous amounts of data, numerous ways to visualize such data have been used. Bar, circular, line, radar and bubble graphs that are ubiquitous were investigated for their effectiveness. Fourteen participants performed four types of evaluations: between categories (cities), within categories (transport modes within a city), all categories, and a direct reading within a category from a graph. The representations were presented in random order and participants were asked to respond to sixteen questions to the best of their ability after visually scanning the related graph. There were two trials on two separate days for each participant. Eye movements were recorded using an eye tracker. Bar and line graphs show superiority over circular and radial graphs in effectiveness, efficiency, and perceived ease of use primarily due to eye saccades. The radar graph had the worst performance. “Vibration-type” fill pattern could be improved by adding colors and symbolic fills. Design guidelines are proposed for the effective representation of data so that the presentation and communication of information are effective

    On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions

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    Nonlinear markers of coupling strength are often utilized to typify cardiorespiratory and cerebrovascular regulations. The computation of these indices requires techniques describing nonlinear interactions between respiration (R) and heart period (HP) and between mean arterial pressure (MAP) and mean cerebral blood velocity (MCBv). We compared two model-free methods for the assessment of dynamic HP–R and MCBv–MAP interactions, namely the cross-sample entropy (CSampEn) and k-nearest-neighbor cross-unpredictability (KNNCUP). Comparison was carried out first over simulations generated by linear and nonlinear unidirectional causal, bidirectional linear causal, and lag-zero linear noncausal models, and then over experimental data acquired from 19 subjects at supine rest during spontaneous breathing and controlled respiration at 10, 15, and 20 breaths·minute−1 as well as from 13 subjects at supine rest and during 60° head-up tilt. Linear markers were computed for comparison. We found that: (i) over simulations, CSampEn and KNNCUP exhibit different abilities in evaluating coupling strength; (ii) KNNCUP is more reliable than CSampEn when interactions occur according to a causal structure, while performances are similar in noncausal models; (iii) in healthy subjects, KNNCUP is more powerful in characterizing cardiorespiratory and cerebrovascular variability interactions than CSampEn and linear markers. We recommend KNNCUP for quantifying cardiorespiratory and cerebrovascular coupling
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