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Journal articles on the topic 'World class logistics'
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Mollenkopf, Diane, and G. Peter Dapiran. "World‐class logistics: Australia and New Zealand." International Journal of Physical Distribution & Logistics Management 35, no. 1 (January 2005): 63–74. http://dx.doi.org/10.1108/09600030510577430.
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Closs, David J., Thomas J. Goldsby, and Steven R. Clinton. "Information technology influences on world class logistics capability." International Journal of Physical Distribution & Logistics Management 27, no. 1 (February 1997): 4–17. http://dx.doi.org/10.1108/09600039710162259.
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Stock, James R., and Douglas M. Lambert. "Becoming a “World Class” Company With Logistics Service Quality." International Journal of Logistics Management 3, no. 1 (January 1, 1992): 73–81. http://dx.doi.org/10.1108/09574099210804822.
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A “world class” organization must provide high levels of logistics service quality to customers. Knowledge of customer expectations and an understanding of the firm's performance on logistics service attributes relative to competitors are vital to achieving service excellence. Research studies in four industries identify the most important logistics service attributes in business‐to‐business settings. There is consistency across industries in terms of the attributes considered most important by customers. Typically, vendors within an industry do not perform up to customer expectations, which provides the opportunity for a firm to gain a competitive advantage over industry rivals.
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Bowersox, Donald J., and David J. Closs. "Brazilian logistics: a time for transition." Gestão & Produção 4, no. 2 (August 1997): 130–39. http://dx.doi.org/10.1590/s0104-530x1997000200002.
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This article describes the logistics dimensions that World Class Firms use to differentiate their capabilities from their more average counterparts. These dimensions, which have been identified through international research, yield logistically excellent firms. The dimensions are documented and described. Using these dimensions as a foundation, the article then develops the implications for Brazilian logistics managers as they are required to transition to a World Class level of logistical performance.
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Rao, Ziv Navoth, Mel Horwitch, Bharat. "Building a World-class Logistics, Distribution and Electronic Commerce Infrastructure." Electronic Markets 9, no. 3 (July 1, 1999): 174–80. http://dx.doi.org/10.1080/101967899359076.
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Kumar, Shashi. "An evaluation of liner strategies in the context of contemporary supply chain management practices." Journal of Transportation Management 12, no. 2 (September 1, 2000): 55–64. http://dx.doi.org/10.22237/jotm/967766760.
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Academic researchers published a sophisticated model of world class logistics in 1995 and recently updated it with a model of 21st century logistics. Although such practices are yet to be perfected in the real world, it provides a yardstick for measuring logistical excellence. An innovative world class firm will pursue sustainable competitive advantage through wellintegrated global supply chains. As liner operators are vital members of global supply chains, their contemporary strategies need particular scrutiny to identify elements of congruence or non-congruence. The paper discusses generic liner strategies and identifies the ideal strategy congruent with contemporary supply chain management practices.
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Closs, David J., and Kefeng Xu. "Logistics information technology practice in manufacturing and merchandising firms – An international benchmarking study versus world class logistics firms." International Journal of Physical Distribution & Logistics Management 30, no. 10 (December 2000): 869–86. http://dx.doi.org/10.1108/09600030010351264.
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Kim, Bonn‐Oh, and Sang M. Lee. "Logistics information’s role within an IT systems architecture in a world‐class organization." Logistics Information Management 9, no. 3 (June 1996): 19–26. http://dx.doi.org/10.1108/09576059610116662.
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Closs, David J., M. Bixby Cooper, Steven R. Clinton, and Stanley E. Fawcett. "Les nouvelles dimensions world class logistics : Quels enseignements pour une Europe en mutation ?" Logistique & Management 5, no. 2 (January 1997): 35–43. http://dx.doi.org/10.1080/12507970.1997.11516652.
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Cruthirds, Kevin W., Tom Coyle, Marco Polo Tello Velasco, and Blanca G. Marquez. "World class logistics - south of the border: an analysis of Mexican maquiladora environmentally responsible practices." International Journal of Productivity and Quality Management 15, no. 3 (2015): 285. http://dx.doi.org/10.1504/ijpqm.2015.068471.
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Alonso, L., E. M. Rubio, B. de Agustina, and R. Domingo. "Latest clean manufacturing trends applied to a world class manufacturing management for improving logistics and environmental performance." Procedia Manufacturing 13 (2017): 1151–58. http://dx.doi.org/10.1016/j.promfg.2017.09.177.
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Łyp-Wrońska, Katarzyna. "World Class Manufacturing Methodology as an Example of Problems Solution in Quality Management System." Key Engineering Materials 682 (February 2016): 342–49. http://dx.doi.org/10.4028/www.scientific.net/kem.682.342.
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The article presents the methodology of World Class Manufacturing (WCM) used in one of the factory the mechanical engineering industry. The company has factories all over the world, while in Poland produces on average 800 ready-made machines by a year. The article presents the following pillars WCM: S (Safety) CD (Cost Deployment), Fl (Focused Improvement), AA (Autonomous Activity), PM (Professional Maintenance), QC (Quality Control), L & CS (Logistics & Customer Service), EEM (Early Equipment Management), EPM (Early Product Management), PD (People Development), E (Environment). Each pillar uses methods and tools. By using the methodology of WCM in the factory has reduced losses and improved the quality of the products.
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Yunani, Akhmad, and Dhanang Widijawan. "Logistik Dalam Beragam Perspektif; Evolusi Konsep, Praktek, dan Isu Kebijakan di Indonesia." Jurnal Logistik Bisnis 10, no. 02 (November 30, 2020): 52–59. http://dx.doi.org/10.46369/logistik.v10i02.1155.
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Logistics in terms of both conceptually and practically always emerge. Logistics issues concern on how to distribute products efficiently in order to satisfy customer requirements. There are many entities involved in performing logistics activites in the supply chain system. This article discusses the evolution of logistics concept and relating issues. Recently, the convergence of logistics emerges along with the changes of technology and environment. Postal service is naturally doing logistics activities. The activities of postal service cover all the spectrum of logistics business; collecting, handling, warehousing, transporting, delivery, and customer relationship management. Therefore, the government declared that the postal is the backbone of national logistics. Unfortunately, the regulation governing the logistics industry is still confusing, particularly in distinguishing the postal and logistics itself. Indonesia's logistics vision and objectives can be realized when there are conducive laws and regulations, adequate infrastructure, the availability of skillful labors, information technology support, and a world class logistics service provider that will encourage the realization of the superior commodities that will boost the competitiveness of the nation.
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Savin, Gleb. "Information support of the flow processes in the smart city transport and logistics system: methodology basis." E3S Web of Conferences 270 (2021): 01017. http://dx.doi.org/10.1051/e3sconf/202127001017.
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The transport and logistics system is a high-tech intelligent system that focuses on the development of the relevant world-class industry, innovations, software and people’s skills. Besides, it is aimed to exchange routine interaction between economic operators with the use of distributed data registry technology and intelligent management systems, develop a trust center of competence, and form an open architecture with dynamic infrastructure development. At the same time, with the general trend for digitalization, today there are two main ways of their development distinguished: machine learning of the vehicle for its interaction with pedestrians and stationary objects, and filling the infrastructure with accounting and information systems when combined with intelligent transport systems. These days the development of the second way lags behind due to the high cost of both bringing its current state into a normative form, and creating a new digital and intelligent world-class infrastructure. In this situation the development of smart contracts is a necessary element for coordinating and organising transportation, which also provides effective transformation of the transport and logistics system, savings for economic operators and the city’s environment improvement.
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Horn, GS, and F. Janse van Rensburg. "An evaluation of the procedures required to ensure consistent material supply in the Eastern Cape automotive industry." South African Journal of Economic and Management Sciences 8, no. 4 (July 25, 2014): 437–47. http://dx.doi.org/10.4102/sajems.v8i4.1174.
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There is a common perception that logistics practice and supply chain management have not yet reached the required international standards among all the supply chain members in the South African automotive industry. This article is based on a research study that investigated possible reasons for the inconsistent supply of materials in the Eastern Cape automotive industry specifically. Problems identified include the fact that suppliers are not evaluated on a regular basis and do not receive sufficient logistics training, while a commitment and will to development local suppliers is lacking. Recommendations made to the South African automotive industry include the improvement of development programmes to assist local suppliers in becoming world-class suppliers, better logistics training, more regular supplier assessments, as well as improved mutual communication among suppliers and motor vehicle assemblers.
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Foit, Krzysztof, Grzegorz Gołda, and Adrian Kampa. "Integration and Evaluation of Intra-Logistics Processes in Flexible Production Systems Based on OEE Metrics, with the Use of Computer Modelling and Simulation of AGVs." Processes 8, no. 12 (December 14, 2020): 1648. http://dx.doi.org/10.3390/pr8121648.
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The article presents the problems connected with the performance evaluation of a flexible production system in the context of designing and integrating production and logistics subsystems. The goal of the performed analysis was to determine the parameters that have the most significant influence on the productivity of the whole system. The possibilities of using automated machine tools, automatic transport vehicles, as well as automated storage systems were pointed out. Moreover, the exemplary models are described, and the framework of simulation research related to the conceptual design of new production systems are indicated. In order to evaluate the system’s productivity, the use of Overall Equipment Efficiency (OEE) metrics was proposed, which is typically used for stationary resources such as machines. This paper aims to prove the hypothesis that the OEE metric can also be used for transport facilities such as Automated Guided Vehicles (AGVs). The developed models include the parameters regarding availability and failure of AGVs as well as production efficiency and quality, which allows the more accurate mapping of manufacturing processes. As the result, the Overall Factory Efficiency (OFE) and Overall Transport Efficiency (OTE) metrics were obtained. The obtained outcomes can be directly related to similar production systems that belong to World Class Manufacturing (WCM) or World Class Logistics (WCL), leading to the in-depth planning of such systems and their further improvement in the context of the Industry 4.0.
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Koota, Pasi, and Josu Takala. "Developing a performance measurement system for world-class distribution logistics by using activity-based costing and management. Case: basic metal industries." International Journal of Technology Management 16, no. 1/2/3 (1998): 267. http://dx.doi.org/10.1504/ijtm.1998.002653.
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Brown, Alan S. "The Proving Grounds." Mechanical Engineering 139, no. 07 (July 1, 2017): 33–37. http://dx.doi.org/10.1115/1.2017-jul-1.
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This article focuses on the emerging supply chain of hardware, software, and engineers transforming warehouses to test bed of innovation for autonomous robots. Although warehouses are controlled environments, they are filled with changing obstacles, traffic, and unexpected surprises. Warehouses used to be the hub of a relatively simple logistics operation. They received and stored pallets of identical goods from manufacturers and importers, and then sent boxes via a conveyor belt or cart to trucks destined for retail outlets. Bruce Welty and his partner have built a world-class e-commerce fulfillment facility, Quiet Logistics, by deploying robots sold by Kiva Systems. The next-generation robots have master control systems to optimize their movements, as do the Kiva robots. However, these new robots are designed to collaborate with human workers rather than banishing them from the aisles, which means the robots must move briskly across the warehouse floor while avoiding people, forklifts, pallets, and boxes. Economics make warehouses a great proving ground for autonomous robots.
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Casadiego Miranda, Lissette P., Edinson A. Bastos Blandos, Edwin Paipa Sanabria, Mónica Ruiz Pianeta, Javier S. Pinzón Ramírez, and Nelson F. Zuñiga Portillo. "Analysis of integrated logistics support (ILS) in the shipbuilding industry. Advantages and improvement opportunities for the naval industry. COTECMAR case study." Ciencia y tecnología de buques 14, no. 28 (January 31, 2021): 9–17. http://dx.doi.org/10.25043/19098642.211.
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Integrated Logistics Support (ILS) applied in the world-class shipbuilding industry has set significant trends in the processes and life cycles of the products and/or systems developed. COTECMAR as a Countrywide pioneer company in this sector, with specific strengths in naval prototypes, has been developing actions together with the National Navy to integrate concepts related to ILS, in its processes. Therefore, a detailed analysis of how these processes are facing the requirements of such support, has become necessary, starting from the initial basis of the possible advantages and opportunities for improvement that this could bring to the corporation and the sector. This is based on the theoretical and conceptual foundations in the ILS framework and how these are developed in the company under analysis.
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Ruswandi, Nanda, Iwan Sukarno Sukarno, Harummi Sekar Amarilies Sekar Amarilies, Rachmad Inca Liperda, M. Welano Kharisma, Mega Rizkah Sudiar, and Raina Fridayanti. "Perancangan Fasilitas Gudang Dalam Sistem Logistik (Pendekatan Berbasis Laboratorium)." Jurnal Logistik Indonesia 4, no. 2 (October 31, 2020): 94–106. http://dx.doi.org/10.31334/logistik.v4i2.1111.
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All of automotive companies around the world are aggressively producing large number of motorized vehicles, especially cars. A car is a transportation mode that is widely used by the middle and upper class. The large number of cars uses cannot be separated from the needs for maintenance of the vehicle itself. Lubricant is the core of engine maintenance on vehicles. Therefore, the demand for lubricants continues to increase due to the increasing demand for cars. Bandar Lampung, for the example, is increasing in the term of the city’s population that is affecting its number of people who own cars. This phenomenon caused the demand for lubricants to increase significantly, so that many lubricant distributors were overwhelmed by this demand. Seeing this opportunity, the RWM Logistics, which is a new Third Party Logistics (3PL) company with value added service is lubricant packaging, has a plan to build a lubricant storage facility in Bandar Lampung. In designing the facility, the company has to decide the layout design, area requirements, material handling planning, and the operational costs. The development of this facility is expected to help the company to meet the demand of lubricant products that were not covered by other distributors.
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Cano, Jose Alejandro, Cesar Augusto Panizo, Fabio Humberto García, and Jorge Enrique Rodríguez. "Strategies for improving the supply chain of coal in Norte de Santander, Colombia." Boletín de Ciencias de la Tierra, no. 38 (July 1, 2015): 65–74. http://dx.doi.org/10.15446/rbct.n38.49572.
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This article aims to structure and characterize the supply chain of coal in Norte de Santander, identifying the main factors influencing the improvement of it. In this sense, an information search on secondary sources is performed to conceptualize the main contributions and functionality of logistics and supply chain management in the coal sector. With the collected data the different stages and actors involved in the chain of supply of coal are structured and characterized, and the most important strategies to achieve world-class performance in the supply chain are identified. As a result, it is recommended to adopt a supply chain model in the coal sector in Norte de Santander, and also implement strategies related to demand assurance, appropriate infrastructure, modernization of production processes, associativity, legal accompaniment, availability of supplies, long-term partnerships, supply stability, reduced energy costs and environmental sustainability.
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Damba, Galsandorj. "Mongolian Mineral Products and Issues of International Trade." Inner Asia 16, no. 2 (December 10, 2014): 301–13. http://dx.doi.org/10.1163/22105018-12340020.
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The speedy growth of the Mongolian economy is inherently linked with the development of the mining sector. As a result of continued policies by the Mongolian Government to attract foreign direct investments, the volume of fdi in the mining sector has been increasing steadily. World-class mines of strategic importance, like Tavan Tolgoi and Oyu Tolgoi, have started operating with high rates of coal and copper production and export earnings. However, mineral products continue to be exported to the international market at a price lower than the international market price. In addition, Mongolia’s mineral products exports remain highly disorganised, the quality of mineral products is not meeting international standards, while transportation and logistics solutions to the third market are still insufficient. All of these pressing issues hinder Mongolia’s competitiveness in the international market. This paper argues for more research into those issues experienced in the mining sector and for the need to set up a mineral products exchange in Mongolia.
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Aler, Ricardo, Daniel Borrajo, and Pedro Isasi. "Learning to Solve Planning Problems Efficiently by Means of Genetic Programming." Evolutionary Computation 9, no. 4 (December 2001): 387–420. http://dx.doi.org/10.1162/10636560152642841.
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Declarative problem solving, such as planning, poses interesting challenges for Genetic Programming (GP). There have been recent attempts to apply GP to planning that fit two approaches: (a) using GP to search in plan space or (b) to evolve a planner. In this article, we propose to evolve only the heuristics to make a particular planner more efficient. This approach is more feasible than (b) because it does not have to build a planner from scratch but can take advantage of already existing planning systems. It is also more efficient than (a) because once the heuristics have been evolved, they can be used to solve a whole class of different planning problems in a planning domain, instead of running GP for every new planning problem. Empirical results show that our approach (EVOCK) is able to evolve heuristics in two planning domains (the blocks world and the logistics domain) that improve PRODIGY4.0 performance. Additionally, we experiment with a new genetic operator—Instance-Based Crossover—that is able to use traces of the base planner as raw genetic material to be injected into the evolving population.
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Pransky, Joanne. "The Pransky interview: Daniel Theobald, Co-founder and Chief Innovation Officer, Vecna Robotics." Industrial Robot: An International Journal 45, no. 4 (June 18, 2018): 431–35. http://dx.doi.org/10.1108/ir-05-2018-0108.
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Purpose The following article is a Q&A interview conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent robotic industry engineer-turned successful innovator and leader regarding the challenges of bringing technological discoveries to fruition. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Daniel Theobald, Co-Founder of Vecna Robotics. Vecna Robotics is a recognized global leader in next-generation robotics and automation solutions, with over 20 years of experience in developing cost-effective solutions in the fields of healthcare, education, business, government, material handling and beyond. In this interview, Theobald shares how his mission to empower humanity through transformative technologies led him to co-found and grow the profitable, privately funded Vecna to a 200-employee company that includes an extensive network of global partners and serves a worldwide customer base, without taking outside investment. Findings Theobald received his bachelor’s and master’s degrees in mechanical engineering from MIT. Graduating at the top of his class, Theobald received the Henry Ford II Scholar Award, the Hertz Foundation Award and a fellowship from the National Science Foundation. Through his graduate work at the MIT AI Laboratory, he developed web-based control algorithms for a robotic Mars explorer, a progenitor of the NASA rovers Spirit and Opportunity. He served as Principal Investigator for many projects funded by DARPA, NIH, TATRC, US ARMY, ONR and many more. Theobald co-founded Vecna along with other MIT engineers in 1998 on the idea that people matter and that businesses can be profitable, ethical and socially responsible. The company motto “Better Technology, Better World” reflects Theobald’s philosophy that impact is the yardstick by which success is measured. Originality/value A humanistic roboticist and ethical innovator, Theobald has decades of experience in leading research scientists and teams of engineers in developing cutting-edge robotics technology. He has over 70 patents issued and pending. He invented and developed several robots, including the famous Battlefield Extraction-Assist Robot (BEAR), the QC Bot logistics solution and industrial logistics platforms. Theobald/Vecna awards include RBR50 Company Award, winner of the DHL and Dell Robotics Innovation Challenge, Mass Technology Leadership Council Award, Team Massachusetts Economic Impact Award, Northrop Grumman Information Systems Annual Suppliers Excellence Award and the Tibbetts Award for Exceptional Innovation. He is the creator of the Convenient Care Model, which suggests that patients who have a more convenient healthcare experience will act more responsibly and will make better health decisions for themselves. In 2014, he co-founded and is currently president of MassRobotics, a nonprofit organization dedicated to the global advancement of the robotics industry. He also co-created VecnaCares, a Vecna charity that is dedicated to improving health outcomes and access to quality care around the world. Under Theobald’s leadership, Vecna has performed over 170,000 hours of community service.
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Шостак, Игорь Владимирович, and Yashar Rahimi. "МЕТОД РАСШИРЕНИЯ МОДЕЛИ ЛОГИСТИЧЕСКОЙ ЦЕПИ ПОСТАВОК, ПРЕДСТАВЛЕННОЙ В ФОРМЕ ДВУХУРОВНЕВОЙ ВЛОЖЕННОЙ СЕТИ ПЕТРИ." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (March 23, 2019): 82–90. http://dx.doi.org/10.32620/reks.2019.1.09.
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The issues related to the development of adequate network models of the processes of creating, deploying and supporting the functioning of the full logistics supply chain of dried fruit (SCDF) in Ukraine are considered. It is shown that the creation and operation of the SCDF, compared to other SCM class systems, raises a number of specific problems caused by the complexity of the interaction of raw material suppliers (fresh fruit), manufacturers of final products (drying, packaging), storage terminals, distributors, 3PL and 4PL providers (retailers). These problems are due to the fact that the interaction of participants in business processes in the SCDF generates a lot of material, financial and information flows, as well as flows of services from sources of raw materials to the final consumer. The variety of world regions from which dried fruit is delivered to Ukraine, a wide range of products supplied, yield, currency fluctuations, seasonality are the causes of a high level of uncertainty in the processes of formation and decision-making by the SCDF participants. The urgency of the problem is substantiated, the essence of which is to develop a temporal component in the network model of the SCDF, which adequately reflects in time the logistic processes that take place during the operation of the supply chain. A model of a full SCDF in the form of a two-level nested Petri net (NPN) is considered. At the same time, the network model of SCDF functioning in the form of a NPN includes two types of objects - the central link reflecting the activity of the focusing company on processing raw materials (dried fruits), and a number of subnets that simulate the activity of suppliers of raw materials and distributors of finished products. It is indicated that to predict the consequences of the current (or some predetermined) situation and to respond to inquiries about the future state of elements of the SCDF, a predictive model can be used that explicitly takes into account time dependencies. In this case, requests can be about the time of occurrence of certain events, and the fact that certain circumstances are present at a certain point in time. A method is described for extending the network model of the SCDF to comply with the 'just-in-time' principle when modeling business processes that take place supply chain.
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Ahmad Ansari, Dr Zaid. "SADAFCO: The Food Basket of GCC." International Journal of Business and Management Research 9, no. 1 (January 29, 2021): 6–10. http://dx.doi.org/10.37391/ijbmr.090102.
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Saudia Dairy and Foodstuff Company as popularly known the SADAFCO [1], is one of the leading companies in the Gulf region and professionally managed supply chain management to ensure food for all. In terms of quality assurance, it obtained International Standard Organisation’s (ISO22000:2005) certificate and enjoyed a competitive advantage in diary industry and milk based products in serving approximately 32000 customers across the GCC region. It also enjoyed a network of distributors without any forward or backward integration strategy to cater the need of the vast markets it serves in UAE, Kuwait, and Bahrain in GCC including Jordon. SADAFCO has about 45 years of rich experience in the industry and started all commercial activities ranging from manufacturing, storage, distribution to other logistics management after being established in 1976. SADAFCO is a Saudi brand name to be reckoned with that offered kitchen and dining table items and a wider range of products across several product lines including Milk, Tomato Paste, Ketchup, Snacks, Ice Cream, Cheese, Instant Milk Powder, Creamy Products, Fruit Nectars, Butter and French Fries to mention a few. Henceforth SADAFCO is a leading and world-class company in the GCC region. The company has good financial position over the given period of time. The challenges brought forward by the Covid-19 is not an exception to this global economic challenge has yet to be seen depending upon the financial performance of year 2020. Historically this Saudi dairy and Foodstuff Company expanded its capacity of manufacturing and distribution after being merged with two other dairy companies and ownership was transferred to make it as holding company to be listed in home and GCC in 2005. Eventually it was listed on the Saudi Arabian stock exchange TADAWUL [2] while majority shareholding with the new entity goes to Qurain Petrochemicals Industries (QPIC). Today’s SADAFCO is a brand power and well sought after share in the securities market of the Kingdom.
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Gajra, Ajeet, Richard Sweat, Yolaine Jeune-Smith, Jonathan K. Kish, and Bruce A. Feinberg. "Perceptions of Community Hematologists/Oncologists on Barriers to Chimeric Antigen Receptor T-Cell Therapy for the Treatment of Diffuse Large B-Cell Lymphoma." Blood 134, Supplement_1 (November 13, 2019): 2198. http://dx.doi.org/10.1182/blood-2019-127741.
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Introduction The ASH Annual Meeting is a venue for presentation of outcomes data from key clinical trials in hematologic malignancies and novel drug classes used to treat them. The approval of two CAR-T therapies, axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tis-cel), in the treatment of large B-cell lymphoma (LBCL), including diffuse LBCL (DLBCL), has ushered in a new class of drugs, i.e. cellular therapy. At ASH 2018, Nastoupil et al. presented data from a retrospective analysis of the characteristics and outcomes of patients with relapsed/refractory LBCL, including DLBCL, treated with commercially available axi-cel CAR-T therapy at academic centers in the United States (Nastoupil LJ, et al. Blood. 2018;132[Suppl 1]:91). The authors found that early outcomes of real-world patients receiving axi-cel therapy were comparable to those observed in the clinical trial population, despite >40% of these patients failing to meet the clinical trial eligibility criteria. At a live meeting in February 2019, we sought the perceptions of community hematologists and oncologists (H/O) regarding their use of, referrals for and barriers to CAR-T therapy as well their perception of the value of the real-world evidence (RWE) presented. Methods A live meeting in February 2019 convened H/O with geographic representation from across the United States. The participants were shown data from selected oral and/or poster presentations from the 2018 ASH Annual Meeting and responded to questions regarding their perceptions of the data and its potential impact on current practice. Participants submitted their demographic responses via a web-based survey prior to the meeting and data impression responses via an audience response system at the live meeting. Results Among the 59 H/O who participated in this live market research program on February 22-23, 2019, 61% identified their primary specialty as hematology/oncology and 34% medical oncology. Only 27% of H/O had attended the 60th ASH Annual Meeting in December 2018. The participants were mostly community-based physicians, 50% in private community and 45% in community practices owned by a hospital or academic center. One-third have been in practice for over 20 years, one-third for 11-20 years and one-third for 10 or fewer years. This group sees an average of 20+ patients per day and reported B-cell non-Hodgkin lymphoma as one of the three most common hematologic malignancy they managed. 28% of H/O indicated that they have referred one patient and 24% have referred 2-5 patients for CAR-T therapy since the first approval on August 30, 2017. Of those H/O who had referred patients for CAR-T therapy, 45% indicated that none of their patients had yet received the infusion. The top two barriers to prescribing/recommending CAR-T therapy, as reported by the H/O, were the cumbersome logistics of administering therapy and following patients (52%), and the cost of the therapy (46%). Other concerns included high toxicity (24%) and lack of long-term survival data (19%), but not lack of knowledge of CAR-T therapy (2%). Furthermore, 87% of H/O agreed with the assertion that due to the limitations of randomized clinical trials, RWE is necessary to inform clinical practice. After review of the information presented on the real-world use of axi-cel, 73% of H/O indicated that this information is likely to cause them to recommend CAR-T therapy for more of their patients with DLBCL. Conclusions There is significant interest in adopting and using CAR-T therapies in LBCL amongst community H/O. This group does not perceive itself as lacking in knowledge regarding CAR-T therapy. The significant barriers of logistics and cost are potential deterrents to appropriate use. These results can inform stakeholders (manufacturers, payers, hospitals and practices) regarding the need to improve processes and develop payment models to address cost in order to facilitate access of these agents to the appropriate patients. RWE is viewed favorably by the vast majority of community H/O to inform clinical practice, due to the limitations of randomized clinical trials. Disclosures Gajra: Cardinal Health: Employment. Sweat:Cardinal Health: Employment. Jeune-Smith:Cardinal Health: Employment. Kish:Cardinal Health: Employment. Feinberg:Cardinal Health: Employment.
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Li, Yong, Xiaoqian Jiang, Shuang Wang, Hongkai Xiong, and Lucila Ohno-Machado. "VERTIcal Grid lOgistic regression (VERTIGO)." Journal of the American Medical Informatics Association 23, no. 3 (November 9, 2015): 570–79. http://dx.doi.org/10.1093/jamia/ocv146.
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Objective To develop an accurate logistic regression (LR) algorithm to support federated data analysis of vertically partitioned distributed data sets. Material and Methods We propose a novel technique that solves the binary LR problem by dual optimization to obtain a global solution for vertically partitioned data. We evaluated this new method, VERTIcal Grid lOgistic regression (VERTIGO), in artificial and real-world medical classification problems in terms of the area under the receiver operating characteristic curve, calibration, and computational complexity. We assumed that the institutions could “align” patient records (through patient identifiers or hashed “privacy-protecting” identifiers), and also that they both had access to the values for the dependent variable in the LR model (eg, that if the model predicts death, both institutions would have the same information about death). Results The solution derived by VERTIGO has the same estimated parameters as the solution derived by applying classical LR. The same is true for discrimination and calibration over both simulated and real data sets. In addition, the computational cost of VERTIGO is not prohibitive in practice. Discussion There is a technical challenge in scaling up federated LR for vertically partitioned data. When the number of patients m is large, our algorithm has to invert a large Hessian matrix. This is an expensive operation of time complexity O(m3) that may require large amounts of memory for storage and exchange of information. The algorithm may also not work well when the number of observations in each class is highly imbalanced. Conclusion The proposed VERTIGO algorithm can generate accurate global models to support federated data analysis of vertically partitioned data.
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Behadada, Omar, Marcello Trovati, Georgios Kontonatsios, and Yannis Korkontzelos. "A Multinomial Logistic Regression Approach for Arrhythmia Detection." International Journal of Distributed Systems and Technologies 8, no. 4 (October 2017): 17–33. http://dx.doi.org/10.4018/ijdst.2017100102.
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Cardiovascular diseases are the leading causes on mortality in the world. Consequently, tools and methods providing useful and applicable insights into their assessment play a crucial role in the prediction and managements of specific heart conditions. In this article, we introduce a method based on multi-class Logistic Regression as a classifier to provide a powerful and accurate insight into cardiac arrhythmia, which is one of the predictors of serious vascular diseases. As suggested by our evaluation, this provides a robust, scalable, and accurate system, which can successfully tackle the challenges posed by the utilisation of big data in the medical sector.
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Aull, Bethany. "Pre-primary teacher talk: L1 use across different activity references." ELT Journal 75, no. 3 (April 19, 2021): 278–89. http://dx.doi.org/10.1093/elt/ccab013.
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Abstract Whether and how instructor L1 use may enhance foreign language learning has been a topic of considerable discussion. Although numerous studies note the L1’s recurrence in teacher talk, research has tended either to quantify its overall use throughout whole class sessions or to outline specific functions. Consequently, little is known about teachers’ actual L1-versus-L2 distribution across different classroom activities. This article contemplates teacher references relating to two prominent activities: core references (focusing on target content) and logistical references (classroom management and organisation). Via word count, it contrasts L1 use in the core and logistical references of ten non-native EFL instructors of very young learners. The findings indicate significantly higher L1 quantities in logistical than core references, even in the case of comprehensible high-frequency logistical terms such as sit. This disparity raises questions about the role of activity-differential L1 use, and points to the particular value of logistics for focalized teacher-talk analysis and awareness.
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Ciu, Tania, and Raymond Sunardi Oetama. "Logistic Regression Prediction Model for Cardiovascular Disease." IJNMT (International Journal of New Media Technology) 7, no. 1 (July 2, 2020): 33–38. http://dx.doi.org/10.31937/ijnmt.v7i1.1340.
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— It is undeniable that cardiovascular disease is the number one cause of death in the world. Various factors such as age, cholesterol level, and unhealthy lifestyle can trigger cardiovascular disease. The symptoms of cardiovascular disease are also challenging to identify. It takes careful understanding and analysis related to patient medical record data and identification of the parameters that cause this disease. This study was conducted to predict the main factors causing cardiovascular disease. In this study, a dataset consisting of 14 attributes with class labels was used as the basis for identification as a link between factors that cause cardiovascular disease. The research area used is the area of analysis data where the analyzed data are on factors that influence the presence of cardiovascular disease in the State of Cleveland. In predicting cardiovascular disease, a logistic regression algorithm will be used to see the interrelation between the dependent variable and the independent variables involved. With this research, it is expected to be able to increase readers' knowledge and insight related to how to analyze cardiovascular disease using logistic regression algorithms and the main factors that cause cardiovascular disease.
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Peacock, Lucy, Paul T. Seed, Kathryn V. Dalrymple, Sara L. White, Lucilla Poston, and Angela C. Flynn. "The UK Pregnancies Better Eating and Activity Trial (UPBEAT); Pregnancy Outcomes and Health Behaviours by Obesity Class." International Journal of Environmental Research and Public Health 17, no. 13 (June 30, 2020): 4712. http://dx.doi.org/10.3390/ijerph17134712.
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The effectiveness of antenatal intervention in women with increasing obesity is unknown. This study investigated whether there was a differential effect of antenatal intervention on diet, physical activity and pregnancy outcomes in women stratified by obesity class using data from the UK Pregnancies Better Eating and Activity Trial (UPBEAT) (n = 1555). The stratification was by World Health Organization classifications: Class I, II and III (30–34.9 kg/m2, 35–39.9 kg/m2 and ≥40 kg/m2). Using linear and logistic regression, adjusted for confounders, outcomes were assessed post-intervention (27+0–28+6 weeks’ gestation) and in late pregnancy (34+0–36+0 weeks’ gestation). Interactions between obesity class and the intervention were explored. Compared to the standard care arm, class III intervention women had lower gestational weight gain (GWG) (−1.87 kg; 95% CI −3.29 to −0.47, p = 0.009), and the effect of the intervention was greater in class III compared to class I, by −2.01 kg (95% CI −3.45 to −0.57, p = 0.006). Class I and II intervention women reported significantly lower dietary glycaemic load and saturated fat intake across their pregnancy. This differential effect of the intervention suggests antenatal interventions for women with obesity should stratify outcomes by obesity severity. This would inform evidence-based antenatal strategies for high-risk groups, including women with a BMI ≥ 40 kg/m2.
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Sun, Jie, Xin Liu, Wenguo Ai, and Qianyuan Tian. "Dynamic financial distress prediction based on class-imbalanced data batches." International Journal of Financial Engineering 08, no. 03 (May 14, 2021): 2150026. http://dx.doi.org/10.1142/s2424786321500262.
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This study proposes two approaches for dynamic financial distress prediction (FDP) based on class-imbalanced data batches by considering both concept drift and class imbalance. One is based on sliding time window and synthetic minority over-sampling technique (SMOTE) and the other is based on sliding time window and majority class partition. Support vector machine, multiple discriminant analysis (MDA) and logistic regression are used as base classifiers in the experiments on a real-world dataset. The results indicate that the two approaches perform better than the pure dynamic FDP (DFDP) models without class imbalance processing and the static FDP models either with or without class imbalance processing.
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López Vargas, Cristina. "A comprehensive framework for optimising the effects of inverse logistics practices in SC sustainability." WPOM-Working Papers on Operations Management 8 (June 7, 2017): 140. http://dx.doi.org/10.4995/wpom.v8i0.7193.
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<p class="Abstract">With growing sustainability concern in mind, firms seek to implement reverse logistic systems in their operations. However, if these practices were not properly implemented, they would be costly and even ineffective. In order to guide company efforts, the present study provide a comprehensive framework based on two dimensions. On one hand, it suits a reverse logistic management model stage-by-stage. On the other hand, the framework brings together concrete measures to optimize SC sustainability from three perspectives: operative, economical and environmental. The proposed framework thus allow to balance reverse logistic practices and SC sustainability. Furthermore, we validated it by analysing six real case in different industries. Findings highlight how reverse logistic activities may improve each SC sustainability dimension.</p>
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Maas, A., F. Rottensteiner, and C. Heipke. "USING LABEL NOISE ROBUST LOGISTIC REGRESSION FOR AUTOMATED UPDATING OF TOPOGRAPHIC GEOSPATIAL DATABASES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 133–40. http://dx.doi.org/10.5194/isprsannals-iii-7-133-2016.
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Supervised classification of remotely sensed images is a classical method to update topographic geospatial databases. The task requires training data in the form of image data with known class labels, whose generation is time-consuming. To avoid this problem one can use the labels from the outdated database for training. As some of these labels may be wrong due to changes in land cover, one has to use training techniques that can cope with wrong class labels in the training data. In this paper we adapt a label noise tolerant training technique to the problem of database updating. No labelled data other than the existing database are necessary. The resulting label image and transition matrix between the labels can help to update the database and to detect changes between the two time epochs. Our experiments are based on different test areas, using real images with simulated existing databases. Our results show that this method can indeed detect changes that would remain undetected if label noise were not considered in training.
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Maas, A., F. Rottensteiner, and C. Heipke. "USING LABEL NOISE ROBUST LOGISTIC REGRESSION FOR AUTOMATED UPDATING OF TOPOGRAPHIC GEOSPATIAL DATABASES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 133–40. http://dx.doi.org/10.5194/isprs-annals-iii-7-133-2016.
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Supervised classification of remotely sensed images is a classical method to update topographic geospatial databases. The task requires training data in the form of image data with known class labels, whose generation is time-consuming. To avoid this problem one can use the labels from the outdated database for training. As some of these labels may be wrong due to changes in land cover, one has to use training techniques that can cope with wrong class labels in the training data. In this paper we adapt a label noise tolerant training technique to the problem of database updating. No labelled data other than the existing database are necessary. The resulting label image and transition matrix between the labels can help to update the database and to detect changes between the two time epochs. Our experiments are based on different test areas, using real images with simulated existing databases. Our results show that this method can indeed detect changes that would remain undetected if label noise were not considered in training.
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Olexová, Cecília, and Jozef Gajdoš. "Logistics Simulation Game Proposal – a Tool for Employees’ Induction." Quality Innovation Prosperity 20, no. 2 (December 31, 2016): 53. http://dx.doi.org/10.12776/qip.v20i2.753.
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<p class="TTPParagraphothers"><strong>Purpose:</strong><strong> </strong>The main purpose of this paper is to propose the development of a simulation game and to explain the use of the proposed logistics simulation game in the induction programme of new employees in real company settings.</p><p><strong>Methodology/Approach: </strong>The proposed logistics simulation game is based on a conceptual modelling framework – mostly a specification of the parameters and variables, and the relationships between them, as well as the adjustment of the game to the real conditions and company’s requirements. </p><p><strong>Findings:</strong><strong> </strong>The purpose of the proposed simulation game is to verify that the worker understands his or her duties, to clarify the activities that s/he should do and which s/he is responsible for in the logistics department of a selected company. The aim of the game is to manage internal transportation in a way that would achieve the lowest level of connected logistics costs together with the maximum use of production lines capacity per single shift. The worker makes decisions during the simulation game in which s/he proposes the values of the variables in the logistics activities to achieve the aim of the game. The game evaluation is based on a comparison of the results obtained by the worker with the optimal task solution and with his or her previous results.</p><p><strong>Research Limitation/Implication: </strong>The logic of creating a simulation game is universal. An applicable simulation game has to be tailored to a particular company and the requirements of an induction programme to a specific job. The proposed simulation game was tested in a specific company; its application in different types of companies would be needed in future.</p><p><strong>Originality/Value of Paper: </strong>The induction programme has rarely been the subject of theory and research, in comparison to other functions of human resource management. Thus, the paper contributes to theory and practice by presenting the partial results of research focused on an innovative approach in the induction training of new employees in a logistics department.</p>
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Buro, M. "Statistical Feature Combination for the Evaluation of Game Positions." Journal of Artificial Intelligence Research 3 (December 1, 1995): 373–82. http://dx.doi.org/10.1613/jair.179.
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This article describes an application of three well-known statistical methods in the field of game-tree search: using a large number of classified Othello positions, feature weights for evaluation functions with a game-phase-independent meaning are estimated by means of logistic regression, Fisher's linear discriminant, and the quadratic discriminant function for normally distributed features. Thereafter, the playing strengths are compared by means of tournaments between the resulting versions of a world-class Othello program. In this application, logistic regression - which is used here for the first time in the context of game playing - leads to better results than the other approaches.
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Strechie, Mădălina. "The Punic Wars: A “Clash Of Civilizations” In Antiquity." International conference KNOWLEDGE-BASED ORGANIZATION 21, no. 2 (June 1, 2015): 650–55. http://dx.doi.org/10.1515/kbo-2015-0110.
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Abstract The conflict that opposed the Carthaginians, called puny by the Romans, and the Eternal City, was one of epic proportions, similar to the Iliad, because, just as in the Iliad one of the combatants was removed forever, not only from the political game of the region, but also from history. The Punic Wars lasted long, the reason/stake was actually the control of the Mediterranean Sea, one of the most important spheres of influence in Antiquity. These military clashes followed the patterns of a genuine “clash of civilizations”, there was a confrontation of two civilizations with their military blocks, interests, mentalities, technologies, logistics, strategies and manner of belligerence. The two civilizations, one of money, the other of pragmatism, opposed once again, after the Iliad and the Greco-Persian wars, the Orient (and North Africa) with the West, thus redrawing the map of the world power. The winner in this “clash” was Rome, by the perseverance, tenacity and national unity of its army to the detriment of Carthage, a civilization of money, equally pragmatic, but lacking national political unity. So the West was victorious, changing the Roman winners in the super-power of the ancient world, a sort of gendarme of the world around the Mediterranean Sea which was turned into a Roman lake (Mare Nostrum.)
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Castini, Diego, Simone Persampieri, Sara Cazzaniga, Giulia Ferrante, Marco Centola, Stefano Lucreziotti, Diego Salerno-Uriarte, Carlo Sponzilli, and Stefano Carugo. "Real-world clopidogrel utilization in acute coronary syndromes: patients selection and outcomes in a single-center experience." Therapeutic Advances in Cardiovascular Disease 11, no. 12 (November 14, 2017): 323–31. http://dx.doi.org/10.1177/1753944717738911.
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Background: With this study, we sought to identify patient characteristics associated with clopidogrel prescription and its relationship with in-hospital adverse events in an unselected cohort of ACSs patients. Materials and Methods: We studied all consecutive patients admitted at our institution for ACSs from 2012 to 2014. Patients were divided into two groups based on clopidogrel or novel P2Y12 inhibitors (prasugrel or ticagrelor) prescription and the relationship between clopidogrel use and patient clinical characteristics and in-hospital adverse events was evaluated using logistic regression analysis. Results: The population median age was 68 years (57–77 year) and clopidogrel was prescribed in 230 patients (46%). Patients characteristics associated with clopidogrel prescription were older age, female sex, non-ST-elevation ACS diagnosis, the presence of diabetes mellitus and anemia, worse renal and left ventricular functions and a higher Killip class. Patients on clopidogrel demonstrated a significantly higher incidence of in-hospital mortality (4.8%) than prasugrel and ticagrelor-treated patients (0.4%), while a nonstatistically significant trend emerged considering bleeding events. However, on multivariable logistic regression analysis female sex, the presence of anemia and Killip class were the only variables independently associated with in-hospital death. Conclusion: Patients treated with clopidogrel showed a higher in-hospital mortality. However, clinical variables associated with its use identify a population at high risk for adverse events and this seems to play a major role for the higher in-hospital mortality observed in clopidogrel-treated patients.
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SU, XIAOYUAN, and TAGHI M. KHOSHGOFTAAR. "COLLABORATIVE FILTERING FOR MULTI-CLASS DATA USING BAYESIAN NETWORKS." International Journal on Artificial Intelligence Tools 17, no. 01 (February 2008): 71–85. http://dx.doi.org/10.1142/s0218213008003789.
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As one of the most successful recommender systems, collaborative filtering (CF) algorithms are required to deal with high sparsity and high requirement of scalability amongst other challenges. Bayesian networks (BNs), one of the most frequently used classifiers, can be used for CF tasks. Previous works on applying BNs to CF tasks were mainly focused on binary-class data, and used simple or basic Bayesian classifiers.1,2 In this work, we apply advanced BNs models to CF tasks instead of simple ones, and work on real-world multi-class CF data instead of synthetic binary-class data. Empirical results show that with their ability to deal with incomplete data, the extended logistic regression on tree augmented naïve Bayes (TAN-ELR)3 CF model consistently performs better than the traditional Pearson correlation-based CF algorithm for the rating data that have few items or high missing rates. In addition, the ELR-optimized BNs CF models are robust in terms of the ability to make predictions, while the robustness of the Pearson correlation-based CF algorithm degrades as the sparseness of the data increases.
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Milyunets, A. Ch. "Logistical flows as an element of library collection management." Scientific and Technical Libraries 1, no. 9 (October 30, 2020): 78–94. http://dx.doi.org/10.33186/1027-3689-2020-9-78-94.
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Library collection development is today being accomplished in the highly competitive environment. Therefore new approaches to this process have to be found. The author attempts to apply several logistical instruments. The author identifies information; documentary and financial flows in the process of collection development technology and substantiates their applicability theoretically. Managing these flows would enhance the processes of library collection development. Despite the fact that the “documentary flow’’ category has been used both by Russian and Belarusian librarians and library scientists; this is the first attempt made in Belarusian library science and in the collection studies; in particular; to apply logistical approach to library collection development; while the author takes precedence of specifying information and financial flows as science categories. The parameters of the flows are identified; i. e.: document class; type; genre; form; language and country; number of document titles and copies; financial characteristics (price); and dimensions and weights (document format). The financial flow; in its turn; is characterized by volume; time; cost and vector; while the information flow’s characteristics are: information generation source; information target addressee, and purpose of generated information.
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Onan, Aytuğ. "Consensus Clustering-Based Undersampling Approach to Imbalanced Learning." Scientific Programming 2019 (March 3, 2019): 1–14. http://dx.doi.org/10.1155/2019/5901087.
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Class imbalance is an important problem, encountered in machine learning applications, where one class (named as, the minority class) has extremely small number of instances and the other class (referred as, the majority class) has immense quantity of instances. Imbalanced datasets can be of great importance in several real-world applications, including medical diagnosis, malware detection, anomaly identification, bankruptcy prediction, and spam filtering. In this paper, we present a consensus clustering based-undersampling approach to imbalanced learning. In this scheme, the number of instances in the majority class was undersampled by utilizing a consensus clustering-based scheme. In the empirical analysis, 44 small-scale and 2 large-scale imbalanced classification benchmarks have been utilized. In the consensus clustering schemes, five clustering algorithms (namely, k-means, k-modes, k-means++, self-organizing maps, and DIANA algorithm) and their combinations were taken into consideration. In the classification phase, five supervised learning methods (namely, naïve Bayes, logistic regression, support vector machines, random forests, and k-nearest neighbor algorithm) and three ensemble learner methods (namely, AdaBoost, bagging, and random subspace algorithm) were utilized. The empirical results indicate that the proposed heterogeneous consensus clustering-based undersampling scheme yields better predictive performance.
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Bondah, Emmanuel K., and Daniel O. Agyemang. "Factors predicting knowledge on COVID-19 misconceptions and perception of government efforts in Ghana: a cross-sectional study." International Journal of Scientific Reports 6, no. 9 (August 20, 2020): 340. http://dx.doi.org/10.18203/issn.2454-2156.intjscirep20203547.
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<p class="abstract"><strong>Background:</strong> With the increasing rate of COVID-19 cases and mortality across the globe, countries and most people have adopted precautionary and preventive measures to avoid been infected with the disease. However, several trending myths and misconceptions also floods the world during this era.</p><p class="abstract"><strong>Methods: </strong>A cross-sectional study was conducted among 587 participants (53% males, 78% aged 18-30 years, and 74% having at least tertiary level education) in Ghana, using a convenience snowballing sampling approach. A self-designed questionnaire based on “World Health Organization (WHO) myth-busters” was used for data collection. A logistic regression model was developed to explore variables predicting misconceptions.</p><p class="abstract"><strong>Results: </strong>With about 75% of respondents believing they knew “a lot” about coronavirus, 41% (confidence interval: 37-45) reported a high level of knowledge on the new coronavirus misconceptions. Social media (87%), and television/radio (57%) were the major sources of knowledge. Masters/Ph.D. degree education, National democratic congress (NDC) political members, other political party members, excellent self-health ratings, social media, respondents that anticipate a remedy in 1-5 years, and the perception that the government is “not doing enough” in fighting the pandemic, were reported factors predicting knowledge in a multiple logistic regression model (p<0.05). Region of residence, political affiliation, self-health ratings, predicted time of remedy, and level of knowledge on covid-19 misconceptions were also associated with the perception of government efforts (p<0.05).</p><p class="abstract"><strong>Conclusion: </strong>Most Ghanaians have much belief in trending misinformation related to the pandemic. Public health education and campaigns should address these misconceptions and encourage the public to seek information from credible sources.</p>
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Chatterjee, Debaleena, and Ayan Chattopadhyay. "Binary Logistic Regression Modeling in Predicting Consumer Behavior towards Mutual Fund Investment." Asian Journal of Managerial Science 8, no. 1 (February 5, 2019): 59–65. http://dx.doi.org/10.51983/ajms-2019.8.1.1446.
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Mutual fund, as a financial investment option, has gained reasonable acceptance in India since its inception. While traditional forms of investment have its own merits, the sheen of mutual fund has also been realized by Indian investors. A huge investor class have scored mutual fund higher than its counterparts on many counts. While the popularity of this new age investment option is on a rise, however, a mixed view is also experienced. The present study explores the behaviour of investors’ towards mutual fund. The study is based on the premise of regression analysis and binary logistic regression has been used to develop a model that best represents the consumer behaviour. The best model selection is based on the information criteria of Akike. Also, from the model, the researchers have evaluated the probability of mutual fund purchase by consumers. Finally, the research work shows computation of odds ratio that signifies the extent to which the probability of purchasing mutual fund would change with unit change in the levels of the covariates. This study is descriptive in nature and is based on primary survey with a sample size of 376. The results reveal that high returns are the most preferred determinant of investment behavior followed by the liquidity which is also evident from the odds ratio computation.
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Zaballa, Katrina, Anthony Liu, Michael John Peek, Max Mongelli, and Ralph Nanan. "Association between World Health Organization categories of body mass index and relative risks for weight-related pregnancy outcomes: a retrospective cohort study." Obstetric Medicine 5, no. 3 (August 28, 2012): 112–18. http://dx.doi.org/10.1258/om.2012.110091.
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Objective To analyse the dose-dependent effect of body mass index (BMI) categories for common pregnancy outcomes. Methods A retrospective cohort study of all deliveries that occurred between 1 January 2005 and 31 December 2009 in a tertiary maternity centre, in Sydney Australia. Common pregnancy outcomes were analysed against World Health Organization (WHO) BMI categories using multiple logistic regression analysis. Results From a total of 18,304 pregnancies, 9087 singleton pregnancies with complete data-sets were identified. Of these pregnancies, 4000 (44%) had a normal BMI, 470 (5.2%) were underweight, 2293 (25.2%) were overweight, 1316 (14.5%) were obese class I, 630 (6.9%) were obese class II and 378 (4.2%) were obese class III. Using the normal BMI category as the reference, there was a clear dose effect of BMI categories for hypertension ( P < 0.001), pre-eclampsia ( P < 0.001), caesarean section ( P < 0.001), macrosomia ( P < 0.001), large for gestational age ( P < 0.001), small for gestational age ( P < 0.001) and neonatal respiratory distress ( P = 0.039). In contrast, despite a significant association with BMI ( P < 0.001), a dose-dependent effect was not found for gestational diabetes. Conclusion The results of our study have important clinical significance as the data, using WHO BMI categories, more accurately help stratify risk assessment in a clinically relevant dose-dependent relationship.
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ROBINSON, BYRON F., and CAROLYN B. MERVIS. "Comparing productive vocabulary measures from the CDI and a systematic diary study." Journal of Child Language 26, no. 1 (February 1999): 177–85. http://dx.doi.org/10.1017/s0305000998003663.
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Expressive vocabulary data gathered during a systematic diary study of one male child's early language development are compared to data that would have resulted from longitudinal administration of the MacArthur Communicative Development Inventories spoken vocabulary checklist (CDI). Comparisons are made for (1) the number of words at monthly intervals (9;10.15 to 2;0.15), (2) proportion of words by lexical class (i.e. noun, predicate, closed class, ‘other’), (3) growth curves. The CDI underestimates the number of words in the diary study, with the underestimation increasing as vocabulary size increases. The proportion of diary study words appearing on the CDI differed as a function of lexical class. Finally, despite the differences in vocabulary size, logistic curves proved to be the best fitting model to characterize vocabulary development as measured by both the diary study and the CDI. Implications for the longitudinal use of the CDI are discussed.
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Rocca, P., C. Montemagni, C. Mingrone, B. Crivelli, M. Sigaudo, and F. Bogetto. "A cluster-analytical approach toward real-world outcome in outpatients with stable schizophrenia." European Psychiatry 32 (February 2016): 48–54. http://dx.doi.org/10.1016/j.eurpsy.2015.11.007.
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AbstractBackgroundThis study aims to empirically identify profiles of functioning, and the correlates of those profiles in a sample of patients with stable schizophrenia in a real-world setting. The second aim was to assess factors associated with best profile membership.MethodsThree hundred and twenty-three outpatients were enrolled in a cross-sectional study. A two-step cluster analysis was used to define groups of patients by using baseline values for the Heinrichs-Carpenter Quality of Life Scale (QLS) total score. Logistic regression was used to construct models of class membership.ResultsOur study identified three distinct clusters: 50.4% of patients were classified in the “moderate” cluster, 27.9% in the “poor” cluster, 21.7% in the “good” cluster. Membership in the “good” cluster versus the “poor” cluster was characterized by less severe negative (OR = .832) and depressive symptoms (OR = .848), being employed (OR = 2.414), having a long-term relationship (OR = .256), and treatment with second-generation antipsychotics (SGAs) (OR = 3.831). Nagelkerke R2 for this model was .777.ConclusionsUnderstanding which factors are associated with better outcomes may direct specific and additional therapeutic interventions, such as treatment with SGAs and supported employment, in order to enhance benefits for patients, as well as to improve the delivery of care in the community.
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Okagbue, Hilary I., Sheila A. Bishop, Anjoreoluwa E. Boluwajoko, Adaeze M. Ezenkwe, Glory N. Anene, Boluwatife E. Akinsola, and Ifeanyi B. Offiah. "Gender and Age Differences in the Study Plan of University Students." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 01 (January 20, 2020): 62. http://dx.doi.org/10.3991/ijim.v14i01.11232.
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<p class="0abstract">Effective study plan is a predictor of good academic performance. However, there are few evidences available on the role of gender and age in the study plan for students. This paper investigated the role of gender and age in the adoption of study plan that can guarantee success. A questionnaire was designed and administered to undergraduate students of a world class privately funded university located in Ogun State, Nigeria. Simple random sampling was used and 294 students responded. Chi-square test of independence revealed that gender and age are not associated with frequency of study, study environment, study content preferences and study motivation. There is no Gender difference in the preference of study type, factors that drive, motivation for study and satisfaction with the study plan whereas, age is significantly associated. The logistic regression model was significant and correctly classified 66.3% of satisfaction with the study plan. Gender was not significant and age of students can predict their satisfaction with their study plan. Older students have more odds to be satisfied with their study plan. As students progressed from year one to the final year, they tend to adopt a study plan that can help them obtain high grades and graduate with good result. Artificial Neural Network correctly classified 71.4% of satisfaction using only age as the only factor because, only age contributed significantly to the logistic regression model. Timely academic advising or mentorship is advocated especially for freshers.</p>
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Marjoribanks, Kevin. "Sibling Effects, Environmental Influences, and University Attendance: A Follow-up Study." Psychological Reports 95, no. 3_suppl (December 2004): 1267–70. http://dx.doi.org/10.2466/pr0.95.3f.1267-1270.
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In 2002 Marjoribanks examined relations among sibling variables, environmental influences, and school dropout. In this follow-up study, relations were examined between sibling variables (number of children in the family, birth order position) and university attendance. Data were collected from 8,005 (4,116 women, 3,889 men) Australian young adults ( M age = 20.1 yr., SD = 0.5). Logistic regression analyses in the two studies indicated that (a) young adults from Asian, Middle Eastern, and middle-class families were less likely to drop out of school and more likely to attend a university than were young Australians from Anglo-Australian, English, European, and working-class backgrounds, and (b) after taking into account differences in family background and learning environment measures, there continued to be small but significant relations between the number of children in families, birth-order position, and the likelihood that young people would drop out of school or attend a university.