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Journal articles on the topic 'Degree of Combined leverage'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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1

Abdulkareem, Ahmed Mahdi. "Financial Performance of Indian Pharmaceutical Companies: Analysis of Leverage and Cost of Capital." Journal of Advanced Research in Economics and Administrative Sciences 1, no. 1 (2020): 13–22. http://dx.doi.org/10.47631/jareas.v1i1.15.

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Purpose: The main aim of the study is to examine the performance of selected pharmaceutical companies in India based on the Degree Of Operating Leverage, Degree Of Financial Leverage, Degree Of Combined Leverage, and Cost Of Capital. Approach/Methodology/Design: Five pharmaceutical companies were randomly selected, and the annual reports and financial statements of these companies were analyzed. The analysis methods involved Degree Of Operating Leverage, Degree Of Financial Leverage, Degree Of Combined Leverage, and Cost Of Capital. ANOVA test was also employed to test hypotheses. The st

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Ahmed, Mahdi Abdulkareem. "Financial Performance of Indian Pharmaceutical Companies: Analysis of Leverage and Cost of Capital." Journal of Advanced Research in Economics and Administrative Sciences 1, no. 1 (2020): 13–22. https://doi.org/10.5281/zenodo.4003539.

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<strong>Abstract   </strong>                                                      <strong>Purpose: </strong>The main aim of the study is to examine the performance of selected pharmaceutical companies in India based on the Degree Of Operating Leverage, Degree Of Financial Leverage, Degree Of Combined Leverage, and Cost

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Iffath Unnisa Begum, Amtul Waha, Aithagoni Pranathi, Akarapu Navyanjali, Alfiya Begum, and Allampally Deekshitha. "A Study on Profitability Analysis at Shreejee Tex Print Pvt Ltd." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 04 (2024): 634–38. http://dx.doi.org/10.47392/irjaem.2024.0087.

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The major objective of this study is to analyses and understand the impact of leverage on the profitability of the firm. This study investigates the relationship between the leverage (financial leverage, operating leverage and combined leverage) and the earning per share. And it aims to describe how the earning capacity of the firm is influenced by the fixed operating costs and the fixed financial charges. Leverage analysis is an important tool in the business. Though leverage analysis firm can analyses the impact of fixed cost. Data is retrieved from the financial statements of the company fo

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Deshpande, Vaishnavi. "A Study on Relationship Between Leverage and Profitability – A Case of Food Industries in India." Indian Journal of Economics and Finance 3, no. 1 (2023): 19–23. http://dx.doi.org/10.54105/ijef.c2514.053123.

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In financial management, Leverage is the key decision area. Leverage constitutes the Degree of Operating Leverage, Degree of Financial Leverage and Degree of Combined Leverage. In this paper, the relationship between Leverage and Profitability has been discussed. For the purpose of this study, data of financial year (FY) 2020 has been considered. About 10 companies in the food industry which are listed in the Bombay Stock Exchange have been chosen for this study. An exploratory form of research design is used which is based on the secondary data. The data was collected from the annual reports

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Widjaja, Indra. "DAMPAK UKURAN DEGREE OF FINANCIAL LEVERAGE, SALES GROWTH, DAN SIZE GROWTH TERHADAP RETURN HARGA SAHAM." Media Riset Bisnis & Manajemen 11, no. 2 (2011): 126–39. http://dx.doi.org/10.25105/mrbm.v11i2.1098.

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The effects of financial reports on stock price is a big issue of research in finance and investment management. A number of studies investigate how financial information becomes impounded in security prices and affects investment decisions. This research examines the relationship between degree of financial leverage, sales growth, size growth and stock return of listed companies in infrastructure, utility and transportation sector in Indonesia Stock Exchange. The research uses combined data, which consists of time series with cross section or known as panel data. Final result indicates that s

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Tarnóczi, Tibor, Edit Veres, and Edina Kulcsár. "FINANCIAL AND OPERATING RISK ANALYSIS OF TWO ROMANIAN-HUNGARIAN BORDER COUNTIES." Annals of the University of Oradea. Economic Sciences 30, no. 30 (1) (2021): 242–50. http://dx.doi.org/10.47535/1991auoes30(1)027.

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The study analyzes the risk of companies selected from two Romanian-Hungarian border counties (Bihor and Hajdú-Bihar counties) by the degree of operational and financial leverage ratios. A total of 1,674 companies from the two counties were included in the analysis, in approximately half and half proportions. In the study, operating, financial and combined leverage ratios are used for risk analysis. Because of the large variance of the ratios, outliers were filtered out. The filtering was based on the degree of the combined leverage ratio, which resulted in 107 companies excluded. In the analy

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Abdukareem, Ahmed Mahdi, and Priyanka Dineshgiri Meghanathi. "The Impact of Leverage on Earnings Per Share: A Study of Selected Petroleum Companies in India." Journal La Bisecoman 1, no. 2 (2020): 25–36. http://dx.doi.org/10.37899/journallabisecoman.v1i2.112.

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The main purpose of this article is to study the impact of leverage on earning per share of selected petroleum companies in India. The article also aims to examine the correlation between three types of leverage with earning per share and to know more about the leverage and petroleum industry in India. The most appropriate Parametric and Non parametric tests are employed and the analysis of data is presented through different graphs and tables. This article comes across to draw a comparison between the degree of combined leverage and earnings per share of selected petroleum companies during th

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Sumarna, Alfonsa Dian. "DEGREE OF LEVERAGE DAN UKURAN PERUSAHAAN TERHADAP KINERJA KEUANGAN PADA SEKTOR INDUSTRI JASA KEUANGAN." Jurnal Ilmiah Ekonomi Bisnis 28, no. 3 (2023): 420–35. http://dx.doi.org/10.35760/eb.2023.v28i3.8131.

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Krisis pandemi mengakibatkan sektor jasa keuangan. Penelitian ini menjadi menarik dari segi kerangka teoritis dalam penilaian pengaruh antara variabel bebas kinerja perusahaan yang diproksikan ke dalam variabel Return on Asset (ROA), Return on Equity(ROE) dan Eearning Per Share (EPS), serta variabel terikat degree of leverage (DL) yang diproksikan ke dalam variabel Degree of Financial Leverage (DFL), Degree of Operating Leverage (DOL), dan Degree of Combine Leverage (DCL). Penelitian ini menggunakan 156 data panel triwulanan untuk pengujian pengaruh (parsial dan simultan) serta Moderated Regre

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Putri, Leonita, Supardi Bakrie, and Samadi Bakar. "Analisis DOL, DFL dan DCL Terhadap Profitablitas Perusahaan Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2011-2016." JURNAL MANAJEMEN DAN BISNIS SRIWIJAYA 15, no. 2 (2018): 95–105. http://dx.doi.org/10.29259/jmbs.v15i2.5697.

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Tujuan Penelitian –. Penelitian ini bertujuan untuk Untuk mengetahui pengaruh secara simultan DOL (Degree of Operating Leverage), DFL (Degree of Financial Leverage), DCL (Degree of Combined Leverage) memiliki pengaruh terhadap profitabilitas pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia pada tahun 2011-2016.Desain/Metodologi/Pendekatan – Penelitian ini merupakan penelitian kausalitas dan data yang digunakan adalah data kuantitatif. Merupakan perusahaan perbankan yang terdaftar dan sahamnya masih aktif diperdagangkan di Bursa Efek Indonesia. Perusahaan tersebut menerbitkan La

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Prabowo, Ananto, and Indah Sari Pangestu. "Leverage, Tata Kelola Perusahaan, dan Manajemen Laba Riil." Organum: Jurnal Saintifik Manajemen dan Akuntansi 4, no. 1 (2021): 72–89. http://dx.doi.org/10.35138/organum.v4i1.133.

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Earnings management is conducted by key internal personels within a firm through the utility of accounting policy judgements which then mislead financial reports. The level of leverage and corporate governance have the ability to influence the degree of earnings management implementation. This research has an objective to examine the leverage and corporate governance mechanisms influence on real earnings management. This research population is included in 50 companies with the best corporate governance implementation in Indonesia for the period of 2012-2018. By using the purposive sampling met

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Dr., Podile. Venkateswararao, Kataru Anil Kumar Fr., and Chinta. Hema Venkata Siva Sree Dr. "Capital Structure Analysis of a Small Enterprise - A case study of Maitreya Electricals Private Limited." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 09 (2018): 179–85. https://doi.org/10.5281/zenodo.1412759.

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The financial manger has to strike a balance between various sources of funds so as to maximize return of an Enterprise without affecting risk composition in the business. An optimal capital structure is very much essential to maximize the owner’s wealth of any Enterprise. In this paper, an attempt is made to analyze the capital structure in Maitreya Electricals Private Limited. Maitreya Electricals Private Limited is a small enterprise located in Andhra Pradesh state of India. This company is a manufacturer and repairer of Electrical Transformers. Its head office is located in Vijayawad

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Kühne, Bianka, and Xavier Gellynck. "Chain Networks as a Leverage for Innovation Capacity: The Case of Food SMEs." International Journal on Food System Dynamics 1, no. 4 (2010): 279–94. https://doi.org/10.18461/ijfsd.v1i4.141.

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Nowadays, innovation is no longer limited to the individual firm but involves increasingly the chain network in which the firm is embedded. The chain network is considered as the place where the internal and external resources of a firm are combined and transformed, leading to innovation capacity. In the increasingly globalizing market, innovation is an important strategic tool for small and medium sized enterprises (SMEs) to achieve competitive advantage. However, SMEs are often confronted with barriers for developing and introducing innovations, such as the lack of economies of scale. Our pa

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Tareq Saeed Al-Aaraji*, Sebyan. "The Impact of Cash Liquidity and Financial Leverage on The Performance of Iraqi Banks: A Comparative Study Between Islamic and Conventional Banks." Journal of Economics and Administrative Sciences 30, no. 143 (2024): 389–404. http://dx.doi.org/10.33095/40xmbq39.

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Degree of financial leverage refers to the percentage of bank assets financed through debt, which banks must employ to achieve returns and cover costs, as well as the availability of cash at maturity. Therefore, the problem of the study arises in how the indicators of leverage and cash liquidity affect the indicators of financial performance in the Iraqi banking sector. That is why the study aims to use econometrics to demonstrate the impact of leverage and cash liquidity on the financial performance indicators represented by return on assets (ROA) and net profit margin (NPM) for a sample of 3

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Elphick, Matt. "The Impact of Embedded iPad Use on Student Perceptions of Their Digital Capabilities." Education Sciences 8, no. 3 (2018): 102. http://dx.doi.org/10.3390/educsci8030102.

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Digital capabilities are recognized as key skills that students must possess to learn and work in our increasingly digital world and have been the subject of a growing focus over recent years. Similarly, smartphones and, to a lesser degree, tablets are now ubiquitous within the student body, and many academics are beginning to leverage these devices for the purposes of learning and teaching in higher education. To further explore the possibilities of mobile technology, the iPilot project was created to explore the effects that embedded iPad use had on undergraduate students’ creativity, abilit

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Balding, Steven, Amadou Gning, Yongqiang Cheng, and Jamshed Iqbal. "Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics." Applied Sciences 13, no. 8 (2023): 5065. http://dx.doi.org/10.3390/app13085065.

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Robotic agents are now ubiquitous in both home and work environments; moreover, the degree of task complexity they can undertake is also increasing exponentially. Now that advanced robotic agents are commonplace, the question for utilisation becomes how to enable collaboration of these agents, and indeed, many have considered this over the last decade. If we can leverage the heterogeneous capabilities of multiple agents, not only can we achieve more complex tasks, but we can better position the agents in more chaotic environments and compensate for lacking systems in less sophisticated agents.

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Chan, Kin Fung, Nicola Bombace, Indrajeet Sahu, Simone Falco, and Nik Petrinic. "Temporal and Spatial Coupling Methods for the Efficient Modelling of Dynamic Solids." Materials 18, no. 5 (2025): 1080. https://doi.org/10.3390/ma18051080.

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This paper presents efficient coupling methods that accurately reduce the computational cost for modelling solids dynamically with finite elements. A multi-time-step integration algorithm is developed to leverage varying time steps throughout a domain. Interfaces between subdomains are resolved explicitly with the continuity of acceleration and tractions. A spatial coupling method is combined with multiple time steps, allowing for meshes that do not necessarily conform at their interfaces. The method avoids solving additional degrees of freedom at these interfaces, with parameter-free coupling

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Christopher, Sundar, and Pawan Gupta. "Global Distribution of Column Satellite Aerosol Optical Depth to Surface PM2.5 Relationships." Remote Sensing 12, no. 12 (2020): 1985. http://dx.doi.org/10.3390/rs12121985.

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Using a combined Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) mid-visible aerosol optical depth (AOD) product at 0.1 × 0.1-degree spatial resolution and collocated surface PM2.5 (particulate matter with aerodynamic diameter smaller than 2.5 μm) monitors, we provide a global five-year (2015–2019) assessment of the spatial and seasonal AOD–PM2.5 relationships of slope, intercepts, and correlation coefficients. Only data from ground monitors accessible through an open air-quality portal that are available to the worldwide community for air quality research and decision mak

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Savitsky, Terrance D., Matthew R. Williams, Vladislav Beresovsky, and Julie Gershunskaya. "Thresholding nonprobability units in combined data for efficient domain estimation." Statistics in Transition new series 26, no. 2 (2025): 1–19. https://doi.org/10.59139/stattrans-2025-013.

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Quasi-randomization approaches estimate latent participation probabilities for units from a nonprobability / convenience sample. Estimation of participation probabilities for convenience units allows their combination with units from the randomized survey sample to form a survey-weighted domain estimate. One leverages convenience units for domain estimation under the expectation that estimation precision and bias will improve relative to solely using the survey sample; however, convenience sample units that are very different in their covariate support from the survey sample units may inflate

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Kelchen, Robert, Dubravka Ritter, and Douglas Webber. "Predicting College Closures and Financial Distress." Finance and Economics Discussion Series, no. 2025-003 (January 2025): 1–69. https://doi.org/10.17016/feds.2025.003.

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In this paper, we assemble the most comprehensive dataset to date on the characteristics of colleges and universities, including dates of operation, institutional setting, student body, staff, and finance data from 2002 to 2023. We provide an extensive description of what is known and unknown about closed colleges compared with institutions that did not close. Using this data, we first develop a series of predictive models of financial distress, utilizing factors like operational revenue/expense patterns, sources of revenue, metrics of liquidity and leverage, enrollment/staff patterns, and pri

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Hall, Carrie M. "The impact of hybridization, engine combustion method, and energy management system connectivity on heavy-duty vehicle operation." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, no. 8 (2021): 2265–80. http://dx.doi.org/10.1177/0954407020983048.

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A wide range of strategies for reducing energy consumption from heavy-duty vehicles have been explored from vehicle electrification to real-time vehicle energy management based on vehicle-to-vehicle and vehicle-to-infrastructure communication. Full electrification of heavy-duty vehicles can be challenging due to current limitations on battery energy density. However, hybridization and the implementation of high efficiency engines present other potential near-term solutions. In contrast to many prior studies that have explored the use of one or two of these techniques, this work discusses the c

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Xiong, Haitao, Hongfu Liu, Bineng Zhong, and Yun Fu. "Structured and Sparse Annotations for Image Emotion Distribution Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 363–70. http://dx.doi.org/10.1609/aaai.v33i01.3301363.

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Label distribution learning methods effectively address the label ambiguity problem and have achieved great success in image emotion analysis. However, these methods ignore structured and sparse information naturally contained in the annotations of emotions. For example, emotions can be grouped and ordered due to their polarities and degrees. Meanwhile, emotions have the character of intensity and are reflected in different levels of sparse annotations. Motivated by these observations, we present a convolutional neural network based framework called Structured and Sparse annotations for image

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Mantz, Adam B., Steven W. Allen, R. Glenn Morris, et al. "Deep XMM–Newton observations of the most distant SPT-SZ galaxy cluster." Monthly Notices of the Royal Astronomical Society 496, no. 2 (2020): 1554–64. http://dx.doi.org/10.1093/mnras/staa1581.

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ABSTRACT We present results from a 577 ks XMM–Newton observation of SPT-CL J0459–4947, the most distant cluster detected in the South Pole Telescope 2500 square degree (SPT-SZ) survey, and currently the most distant cluster discovered through its Sunyaev–Zel’dovich effect. The data confirm the cluster’s high redshift, z = 1.71 ± 0.02, in agreement with earlier, less precise optical/IR photometric estimates. From the gas density profile, we estimate a characteristic mass of $M_{500}=(1.8\pm 0.2)\times 10^{14}\, {\rm M}_{\odot }$; cluster emission is detected above the background to a radius of

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Chen, Maorong, Xiongbin Wu, Hongtao Cai, Liang Yu, and Lan Zhang. "Motion Compensation Method of CTSR Bistatic HFSWR Using Shore-Based Transponder Signals." Journal of Physics: Conference Series 3007, no. 1 (2025): 012043. https://doi.org/10.1088/1742-6596/3007/1/012043.

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Abstract A Coastal Transmit Ship Receive (CTSR) scheme, which is capable of separating platform movements effects from sea echoes received by ship-born bistatic high-frequency surface wave radar (HFSWR), is proposed in this paper. It also can fully leverage the combined advantages of both bistatic and shipborne radars with the abilities of anti-interference and flexible detection capabilities. The receiving signals for moored shipborne HFSWR are modulated by 6-degree of freedom (6-DOF) motion, causing a decline in radar detecting and monitoring performance. In this paper, a 6-DOF motion compen

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Huang, Kelly, Lu, Lv, Shi, and Giurco. "Carbon Communities and Hotspots for Carbon Emissions Reduction in China." Sustainability 11, no. 19 (2019): 5508. http://dx.doi.org/10.3390/su11195508.

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With China’s commitment to peak its emissions by 2030, sectoral emissions are under the spotlight due to the rolling out of the national emission trading scheme (ETS). However, the current sector policies focus either on the production side or consumption while the majority of sectors along the transmission were overlooked. This research combines input–output modelling and network analysis to track the embodied carbon emissions among thirty sectors of thirty provinces in China. Based on the large-data resolution network, a two-step network reduction algorithm is used to extract the backbone of

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Chen, Yuze, and Peili Yuan. "The Impact of Learning Experiences on Meeting Teacher Accreditation Standards: A Mixed-Methods Study." Pacific International Journal 7, no. 5 (2024): 119–29. http://dx.doi.org/10.55014/pij.v7i5.694.

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Professional Accreditation for teacher education programs is a quality assurance measure for normal universities. To clarify the factors affecting student teachers' learning and their mechanisms, a mixed-methods study was conducted on government-funded student teachers. The study found that learning experiences in areas such as clear goals, student support, appropriate assessment, teaching quality, and course organisation have varying degrees of influence on learning outcomes. The mechanisms of influence include: the combined effect of misaligned learning goals and simplified exam content hind

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Ajao, Mayowa Gabriel, and Fredrick Edosa Robinson. "Dividend Policy Determinants and Stock Price Volatility in Selected African Stock Markets." International Journal of Finance Research 3, no. 1 (2022): 27–48. http://dx.doi.org/10.47747/ijfr.v3i1.659.

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The study examined the impact of dividend policy determinants on stock price volatility in Sub Sahara Africa. Three (3) economies (Nigeria, Kenya and South Africa) were selected from among the 51 economies in the region, and data spanning 9 years (2011-2019) were obtained and subjected to econometric analyses. The Generalized Autoregressive Conditional Heteroskedacity (GARCH) was used to ascertain and generate the volatility properties of the stock prices, while the panel Autoregressive Distributed Lag (ARDL) technique was used to capture the relationship between dividend policy determinants a

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Lewis, Patrick, Yuxiang Wu, Linqing Liu, et al. "PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them." Transactions of the Association for Computational Linguistics 9 (2021): 1098–115. http://dx.doi.org/10.1162/tacl_a_00415.

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Abstract Open-domain Question Answering models that directly leverage question-answer (QA) pairs, such as closed-book QA (CBQA) models and QA-pair retrievers, show promise in terms of speed and memory compared with conventional models which retrieve and read from text corpora. QA-pair retrievers also offer interpretable answers, a high degree of control, and are trivial to update at test time with new knowledge. However, these models fall short of the accuracy of retrieve-and-read systems, as substantially less knowledge is covered by the available QA-pairs relative to text corpora like Wikipe

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Shen, Shih-Chun, Souvik Dey, James B. DuHadaway, et al. "Neovascular pruning by IDO1 inhibitors can potentiate immunogenic cytotoxicity of ischemia-targeted agents to synergistically enhance anti-PD-1 responsiveness." Journal for ImmunoTherapy of Cancer 13, no. 5 (2025): e011398. https://doi.org/10.1136/jitc-2024-011398.

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BackgroundStrategies for deploying indoleamine 2,3-dioxygenase 1 (IDO1)-targeted therapies for use against cancer have focused on IDO1’s role in promoting peripheral immune tolerance that shields tumors from effector T cells. However, preclinical investigation of both primary and metastatic tumor development in the lungs has uncovered a previously unappreciated role for IDO1 in directing a counterregulatory response to interferon (IFN)-γ that realigns the local inflammatory environment to promote tumor neovascularization. Understanding how to therapeutically leverage the ability of IDO1 inhibi

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Pan, Xirui, Zhuyuan Cheng, and Yonggang Zhang. "Two Improved Constraint-Solving Algorithms Based on lmaxRPC3rm." Symmetry 15, no. 12 (2023): 2151. http://dx.doi.org/10.3390/sym15122151.

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The Constraint Satisfaction Problem (CSP) is a significant research area in artificial intelligence, and includes a large number of symmetric or asymmetric structures. A backtracking search combined with constraint propagation is considered to be the best CSP-solving algorithm, and the consistency algorithm is the main algorithm used in the process of constraint propagation, which is the key factor in constraint-solving efficiency. Max-restricted path consistency (maxRPC) is a well-known and efficient consistency algorithm, whereas the lmaxRPC3rm algorithm is a classic lightweight algorithm fo

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Alagirisamy, Mukil, Veerendra Dakulagi, Sathish Kumar Selvaperumal, Narendran Ramasendran, and Nabiha Tasfia Zaman. "Enhanced Capon-MUSIC Integration for improved DOA Estimation with Coprime Arrays in Disaster Management." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 20653–59. https://doi.org/10.48084/etasr.9261.

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This paper introduces an enhanced Capon beamforming approach that is further integrated with the Multiple Signal Classification (MUSIC) method to achieve superior Direction of Arrival (DOA) estimation using coprime arrays. The proposed enhancement to the standard Capon beamformer focuses on improving its robustness against steering vector mismatches, which significantly boosts its performance in complex signal environments. By optimizing the beamformer's spatial filtering capability, the improved method mitigates signal distortion and enhances resolution. Building on this enhanced Capon beamfo

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Katili, Moh Zulkifli, Yeni Herdiyeni, and Medria Kusuma Dewi Hardhienata. "Leveraging Biotic Interaction Knowledge Graph and Network Analysis to Uncover Insect Vectors of Plant Virus." Journal of Information Systems Engineering and Business Intelligence 10, no. 1 (2024): 94–109. http://dx.doi.org/10.20473/jisebi.10.1.94-109.

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Background: Insect vectors spread 80% of plant viruses, causing major agricultural production losses. Direct insect vector identification is difficult due to a wide range of hosts, limited detection methods, and high PCR costs and expertise. Currently, a biodiversity database named Global Biotic Interaction (GloBI) provides an opportunity to identify virus vectors using its data. Objective: This study aims to build an insect vector search engine that can construct an virus-insect-plant interaction knowledge graph, identify insect vectors using network analysis, and extend knowledge about ident

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Sutradhar, Kartick, and Ranjitha Venkatesh. "SQDAPSM: a secure quantum data aggregation protocol for smart meters." Physica Scripta 100, no. 6 (2025): 065121. https://doi.org/10.1088/1402-4896/add8ec.

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Abstract Vast amounts of information are collected and organized into a more understandable and comprehensive style through data aggregation. User privacy needs to be maintained even though real-time electricity use data is helpful for big data analysis. One of the main issues is finding a balance between data utility and privacy protection. To ensure secure transmission, the individual measurements from each user should be combined before being transferred to the gateways. This work presents a quantum protocol-based security architecture for user data that leverages entanglement based techniq

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Safarishahrbijari, Anahita, and Nathaniel D. Osgood. "Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study." JMIR Public Health and Surveillance 5, no. 2 (2019): e11615. http://dx.doi.org/10.2196/11615.

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Background Although dynamic models are increasingly used by decision makers as a source of insight to guide interventions in order to control communicable disease outbreaks, such models have long suffered from a risk of rapid obsolescence due to failure to keep updated with emerging epidemiological evidence. The application of statistical filtering algorithms to high-velocity data streams has recently demonstrated effectiveness in allowing such models to be automatically regrounded by each new set of incoming observations. The attractiveness of such techniques has been enhanced by the emergenc

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Fan, Chuanhao, and Bingbing Shang. "Proactive Breakthrough or Passive Exhaustion? A Dual-Path Integrated Model Driven by Perceived Overqualification." Behavioral Sciences 15, no. 5 (2025): 702. https://doi.org/10.3390/bs15050702.

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With the advancement of global economic restructuring and China’s economic transformation, structural employment contradictions have intensified amid increasingly competitive labor markets. The frequent occurrences of “degree devaluation” and talent “downskilling” have made perceived overqualification increasingly prevalent in organizations. This study, based on the Cognitive–Affective Personality System theory, investigates the differential mechanisms through which perceived overqualification drives approach and avoidance job crafting via cognitive and affective pathways. Data from a two-wave

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Flor, María Luisa, José Luis Blasco Díaz, and María Lidón Lara Ortiz. "Innovation policy instruments through the lens of open innovation. An analysis in the Spanish context." Journal of Evolutionary Studies in Business 5, no. 1 (2020): 52–80. http://dx.doi.org/10.1344/jesb2020.1.j068.

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Open innovation (OI) involves the deliberate use of external and internal knowledge flows by organisations in order to accelerate their innovations and expand the markets for the external use of innovations. Despite the relevance of OI for firms’ competitiveness, firms’ abilities to leverage and combine internal and external knowledge flows cannot be taken for granted. In this context, innovation policies can play a crucial role in stimulating firms’ OI strategies. The objective of this research is to examine the degree to which existing public innovation policies promote open innovation by co

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Xiao, Yunlong, and Xinyi Guo. "Remote sensing image fusion method based on depth feature extraction." Journal of Physics: Conference Series 2863, no. 1 (2024): 012019. http://dx.doi.org/10.1088/1742-6596/2863/1/012019.

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Abstract Remote sensing image fusion involves combining data from various remote sensing sensors or merging multiple images acquired by the same sensor but in different spectral bands to create a superior quality composite image, high resolution, multi-band, and multi-temporal remote sensing image through certain algorithms and technologies. By utilizing fusion techniques, remote sensing images of varying bands, resolutions, and phases can be combined to enhance the accuracy of ground object information. This paper introduces a remote sensing image fusion method that leverages deep learning fo

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Aloulou, Wassim. "Unpacking Saudi Family Firm Performance Benefits of Entrepreneurial Orientation, Digitalization, Ambidexterity, and Involvements." European Conference on Innovation and Entrepreneurship 19, no. 1 (2024): 36–45. http://dx.doi.org/10.34190/ecie.19.1.2442.

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This study aims to enhance family firm research by introducing contemporary concepts such as entrepreneurial orientation, digitalization, and ambidexterity. It develops hypotheses to examine their impacts on family firm performance, while also exploring the influence of family and generational involvements on the relationship between entrepreneurial orientation and family firm performance. Furthermore, the study investigates the mediating role of innovation ambidexterity in the relationship between entrepreneurial orientation and performance. Using a quantitative approach, this study analyzed

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Jwa, Younkyung, Chang Wook Ahn, and Man-Je Kim. "EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm." Mathematics 12, no. 23 (2024): 3828. https://doi.org/10.3390/math12233828.

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The primary objective of our research is to enhance the efficiency and effectiveness of Neural Architecture Search (NAS) with regard to Graph Neural Networks (GNNs). GNNs have emerged as powerful tools for learning from unstructured network data, compensating for several known limitations of Convolutional Neural Networks (CNNs). However, the automatic search for optimal GNN architectures has seen little progressive advancement so far. To address this gap, we introduce the Efficient Graph Neural Architecture Search (EGNAS), a method that leverages the advantages of evolutionary search strategie

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Akhyar, Halil, Selvira Anandia Intan Maulidya, Muhammad Mukaddam Alaydrus, et al. "Studi Pemodelan dan Prediksi Aktivitas Antibakteri Biopo-limer Kitosan Menggunakan Response Surface Methodology (RSM)." JTIM : Jurnal Teknologi Informasi dan Multimedia 7, no. 2 (2025): 352–62. https://doi.org/10.35746/jtim.v7i2.713.

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Infections occured in the human are mostly caused by uncontrolled growth of Staphylococcus aureus bacteria. A strategy to inhibit bacterial growth can use antibacterial agents such as chitosan. The mechanism of the effectiveness of chitosan as an antibacterial is quite complex, even the data on its antibacterial activity is quite fluctuating so that it is difficult to analyze accurately and efficiently. Therefore, the purpose of the study was to predict the inhibition zone of s.aureus bacteria through laboratory experiments combined with modeling using the Central Composite Design (CCD) approa

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Sood, Diti. "Guest Editorial: 5 Reasons Why AI Won’t Take Your Job but Make You Faster, Safer, and Better." Journal of Petroleum Technology 76, no. 07 (2024): 10–12. http://dx.doi.org/10.2118/0724-0010-jpt.

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Every decade or so, we see technological disruptions that transform how we live and work. In the 1980s, it was the personal computer revolution. The 1990s saw the rise of the internet and in the following decade we combined it with mobility. By the 2010s we were talking about cloud computing and big data. That brings us to our current decade which is being shaped by the rapid, almost dizzying, advancements in artificial intelligence (AI) technology, particularly with large language models (LLMs) and natural language processing. Each of these advancements has made people more efficient in how t

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Ringwalt, Emily, Mark Currier, Andrea Glaspell, et al. "Abstract 1087: Synergistic mechanisms against pediatric bone sarcoma models: Trabectedin enhances oncolytic virotherapy intratumoral spread and antitumor immune activation." Cancer Research 84, no. 6_Supplement (2024): 1087. http://dx.doi.org/10.1158/1538-7445.am2024-1087.

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Abstract Osteosarcoma and Ewing sarcoma are the most common pediatric bone malignancies and, despite decades of research, efforts to treat patients with advanced disease remain dismal. To address this inadequacy, we leverage oncolytic herpes simplex virotherapy as a double-edged attack against tumors through 1) tumor cell-specific lysis and 2) antitumor immune stimulation. However, previous trials of oncolytic herpes simplex virotherapy in pediatric sarcomas displayed limited responses, likely due to the observed presence of immunosuppressive monocytes and macrophages. To improve efficacy, we

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Puspitasari, Ni Made Dwi, G. Oka Warmana, and Ni Putu Yeni Astiti. "Pengaruh Degree of Financial Leverage dan Degree of Operating Leverage Terhadap Profitabilitas." WIDYA MANAJEMEN 2, no. 1 (2020): 28–35. http://dx.doi.org/10.32795/widyamanajemen.v2i1.547.

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Leverage is the use of assets and sources of funds that incur fixed costs, which aim to increase the potential returns of shareholders. This study aims to determine the effect of degree of financial leverage and degree of operating leverage on profitability. The sample of this study was 19 transportation companies listed on the Indonesia Stock Exchange in 2015-2017. The data is analyzed by multiple linear regression. The test results show that: 1) Financial Leverage has a negative and significant effect on profitability; 2) Operating Leverage has a positive and significant effect on profitabil

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Bhagwat, Yatin. "Degree of Advertising Leverage-." Journal of Pharmaceutical Finance, Economics & Policy 13, no. 3 (2005): 55–67. http://dx.doi.org/10.1300/j371v13n03_05.

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Liu, Xukun, Haoze Lv, Fenglong Ma, Chi Wang, and Dongkuan (DK) Xu. "DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space Pruning." Proceedings of the AAAI Symposium Series 5, no. 1 (2025): 172–79. https://doi.org/10.1609/aaaiss.v5i1.35585.

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In this work, we introduce DyESP, a novel approach that unites dynamic exploration with space pruning to expedite the combined search of hyperparameters and architecture, enhancing the efficiency and accuracy of hyperparameter-architecture search (HAS). Central to DyESP are two innovative components: a meta-scheduler that customizes the search strategy for varying spaces and a pruner designed to minimize the hyperparameter space by discarding suboptimal configurations. The meta-scheduler leverages historical data to dynamically refine the search direction, targeting the most promising areas wh

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Lippert, Adam M., and Sarah Damaske. "Finding Jobs, Forming Families, and Stressing Out? Work, Family, and Stress among Young Adult Women in the United States." Social Forces 98, no. 2 (2018): 885–914. http://dx.doi.org/10.1093/sf/soy117.

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AbstractThe transition to adulthood is increasingly characterized by complex paths into the world of work and family, especially for young women. Yet how work and family combine to influence stress among young adult women is not well understood. Using data from the National Longitudinal Study of Adolescent to Adult Health, we leverage new extensions to latent class analysis (LCA) to identify common combinations of work and family circumstances among young adult women, their earlier life and contemporaneous correlates, and associations with two stress measures: a multi-item Perceived Stress Sca

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Wieringa, Jamin G., Juliet Nagel, C. J. Campbell, David M. Nelson, Bryan C. Carstens, and H. Lisle Gibbs. "Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats." Ecosphere 14, no. 6 (2023): e4588. https://doi.org/10.5281/zenodo.13427547.

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(Uploaded by Plazi for the Bat Literature Project) Abstract The expansion of industrial‐scale wind‐energy facilities has not only increased the production of low‐carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind‐energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ 2 H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ 2 H values vary primarily across latitudinal and

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Wieringa, Jamin G., Juliet Nagel, C. J. Campbell, David M. Nelson, Bryan C. Carstens, and H. Lisle Gibbs. "Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats." Ecosphere 14, no. 6 (2023): e4588. https://doi.org/10.5281/zenodo.13427547.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Abstract The expansion of industrial‐scale wind‐energy facilities has not only increased the production of low‐carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind‐energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ 2 H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ 2 H values vary primarily across latitudinal and

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48

Wieringa, Jamin G., Juliet Nagel, C. J. Campbell, David M. Nelson, Bryan C. Carstens, and H. Lisle Gibbs. "Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats." Ecosphere 14, no. 6 (2023): e4588. https://doi.org/10.5281/zenodo.13427547.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Abstract The expansion of industrial‐scale wind‐energy facilities has not only increased the production of low‐carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind‐energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ 2 H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ 2 H values vary primarily across latitudinal and

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49

Wieringa, Jamin G., Juliet Nagel, C. J. Campbell, David M. Nelson, Bryan C. Carstens, and H. Lisle Gibbs. "Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats." Ecosphere 14, no. 6 (2023): e4588. https://doi.org/10.5281/zenodo.13427547.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Abstract The expansion of industrial‐scale wind‐energy facilities has not only increased the production of low‐carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind‐energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ 2 H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ 2 H values vary primarily across latitudinal and

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50

Wieringa, Jamin G., Juliet Nagel, C. J. Campbell, David M. Nelson, Bryan C. Carstens, and H. Lisle Gibbs. "Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats." Ecosphere 14, no. 6 (2023): e4588. https://doi.org/10.5281/zenodo.13427547.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Abstract The expansion of industrial‐scale wind‐energy facilities has not only increased the production of low‐carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind‐energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ 2 H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ 2 H values vary primarily across latitudinal and

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