Research Library

Discover our latest blogs, news, and updatesWelcome to Zendy's knowledge base where you can discover more about academic research.
Featured Blogzendy-announces-new-version-releases-of-zaia-ai-assistant
Zendy Announces New Version Releases of ZAIA - AI Assistant United Arab Emirates, 13th March 2024 - AI-powered research library Zendy has announced the launch of a significant version release for its domain-specific Large Language Model (LMM), ZAIA (Zendy AI Assistant). Developed by Zendy’s data science team and initially launched in December 2023, ZAIA is designed to enhance the efficiency and effectiveness of research discovery and literature review. In this new version, a host of new features have been introduced to support researchers: Ask ZAIA: You can now ask specific questions to ZAIA on a paper level, giving you a new way to conduct in-depth analysis during literature review. PDF Analysis: ZAIA can now analyse any PDF. Upload or link a research paper with sections, and ZAIA will extract, analyse, and summarise each section, including the abstract, introduction, methods, results, discussion, and references. Reference validation and verification: using techniques such as chain of verification, all references go through a validation and verification process to increase accuracy. Conversation and analysis history: once you log in, you can now see a complete history of all conversations with ZAIA and a history of PDFs analysed. An enhanced fine-tuned model for increased accuracy. ZAIA is also now accessible without registration. ZAIA is not a general-purpose language model. It is fine-tuned with Zendy’s own data sources, allowing it to support higher-level abstractions for research-specific use cases. “ZAIA 0.1 takes us closer to our vision of creating an ecosystem of research-centric AI tools using the latest development methods that increase efficiency and reliability. The future of research is intertwined with the vast capabilities of AI, and we are committed to leveraging the best of AI to provide solutions to the pressing issues researchers face in research discovery,” said Zendy’s Chief Technology Officer, Rodrigo Pinto. “We have a core focus on increasing collaboration with publishers and data providers to navigate the increasing potential of AI. We look forward to extending the vast capabilities of our LLM and all our learnings to institutions, publishers, and organisations looking to streamline information discovery and retrieval using AI,” said Zendy Co-founder Kamran Kardan. Committed to helping foster an ecosystem of collaborative partnerships rooted in responsible AI practices, Zendy believes AI is important in fostering an equitable research and publishing ecosystem, but only with ethical guidelines. In response to the growing discussion around AI, Zendy recently released a list of AI imperatives to guide strategic development and the integration of AI technologies. To find out more about Zendy’s AI solutions, email hello@zendy.io. You can use ZAIA now on Zendy, visit www.zendy.io/zaia. To read the Zendy AI Imperatives statement, click here. About Zendy Zendy is a product of Knowledge E. Since its inception in 2019, Zendy has introduced over 500,000 users to a better way to research. Zendy’s intuitive AI-powered research library features millions of journals, articles, e-books, and more, allowing users to access unlimited content for an affordable monthly subscription. Zendy also offers a free open-access plan. Press contact: Monica Chinsami Head of Marketing
calendarMar 20, 2024  |clock5 Mins Read
Recent blogs
Decolonising and diversifying academia: Interview with Nahil Nasr, the Community Engagement Manager at F.O.R.M.
Mar 6, 20248 Mins ReadDiscuss

Decolonising and diversifying academia: Interview with Nahil Nasr, the Community Engagement Manager at F.O.R.M.

This January, the Forum of Open Reseach MENA hosted its first community development activity of 2024. The “Decolonising Open Science Symposium: Dismantling Global Heirarchies of Knowledge” addressed the influence of western prominence on knowledge distribution and research, highlighting how these ideologies and standards impact the Arab region. Within the landscape of research, conversations and collaborations not only address inequalities but also break barriers to accessibility. In this blog, we interviewed Nahil Nassar who is the community engagement manager at the Forum of Open Research MENA. At the symposium, Nahil touched on the work that open science has in building stronger foundations for diverse research consumption and the biases that exist in the research landscape. We take a deeper dive into this conversation. How does F.O.R.M. facilitate conversations around decolonising academia? FORM is a community based organisation that centers its attention on the Arab region. That means prioritising Arab voices in academia to develop a regionally and culturally relevant model of Open Science to implement across the board. While we do, of course, work with organisations that are based in the Global North, we try to be transparent when it comes to power dynamics, and recognise that we are only as strong as our community. What role does open science play in escalating research outside western europe? Open Science has the potential to really build an even playing field for researchers in the Global South because of its financially and digitally accessible model. In its best form, Open Science should allow researchers from the Global South to publish their work without limitations in cost or geography. The problem is that Open Science publishing is not always functioning in its most optimum form, and things like APCs, metric frameworks, and language hierarchies (English being a dominant language across the research landscape) can still limit researchers in the same ways that traditional academic publishing models do. What are some biases that exist in the open science landscape? A major bias that comes out of the Open Science landscape, especially when it comes to the Global South, is that Open Science research is bad research. There’s this assumption that if research isn’t published in perfect English, or focuses on a very niche subject that’s really only relevant to specific local contexts, then that means the research is either low quality or irrelevant. This is especially because of how research is prioritised in its value these days, and this is one of the many places where commodification enters the conversation as a major issue. Often times, major funding is only allocated to research that is deemed important by multinational corporations or prestigous research institutions in the Global North who sort of set the agenda of what is necessary to study and what isn’t - and these topics are usually prioritised based on the needs of these entities and their contexts, and completely ignore the localised needs of researchers in the Global South, who then don’t have access to that same funding. Please explain how absolute objectivity is colonial ideology This is a really interesting ideology to ponder on in decolonial discourse, because it seems very out there to say that there’s no such thing as objective truth, especially in a world that is run by scientific innovation. The idea of objectivity may seem to be clear and cut, but it goes back to the idea of intellectual dominance and colonialism. There was an ideological hierarchy set by colonial powers that placed their “truth” as the only “truth”, and took objectivity to mean that their truth is the only one with any substance or value. Many indigenous knowledge systems question this idea of absolute objectivity, because it is often rooted in inherently colonial, patriarchal, and violent understandings of nature, human experience, and society. I was first introduced to this philosophy through postcolonial gender theory, where researchers like Vandana Shiva questioned the very idea of scientific knowledge as we know it today as something that was forced on us as the only virtuous fact, but is sometimes actually the most harmful opinion. What is the direct impact of colonisation on knowledge production today? The impact of colonisation on knowledge production today can be found in a plethora of arenas. While colonisation as we once knew it is not nearly as prominent as it was in the 19th and 20th centuries, neo-imperial and neo-colonial ideologies are still very much strong holding the majority of the world’s systems. You can see legacies of it in how we think about scientific studies, methodologies, or even the metrics that we use to classify ‘good’ and ‘bad’ research. It informs how we think about credibility, and determines who gets to speak the loudest and whose voice gets silenced. It marginalises researchers who use indigenous knowledge methodologies (often rooted in intuition and connection to land and spirit) and prioritises the voices of liberal scientists who believe in objective fact rooted in numbers and rationality. Overall, it prioritises knowledge produced and disseminated by Western organisations and researchers that then have an impact on Western communities, and leave the global majority out of the conversation. Watch the webinar here

Webinar Recap: Research in the age of AI - Tools, Trends & Innovations
Mar 6, 20246 Mins ReadWebinar

Webinar Recap: Research in the age of AI - Tools, Trends & Innovations

In a pivotal time where AI-powered tools shape efficiency in research processes, the world of academia is witnessing a significant transformation. This calls for a thorough discussion to define ethical AI usage in order to leverage the technology to improve the landscape of academia. We recently hosted a webinar to address and discuss the usage of AI in research. The webinar titled, “Research in the age of AI - Tools, Trends & Innovations” was moderated by Knowledge E’s chief academic officer, Dr. Emily Choynowski; and featured Zendy co-founder Kamran Kardan, Zendy Chief Technology Officer, Rodrigo Pinto, and Professor Leo Lo from the University of New Mexico. Kamran Kardan - CEO of Knowledge E and Zendy Driving an AI-powered research library [Zendy], ethical usage of AI is a core value. AI benefits and facilitates interdisciplinary research by allowing researchers to quickly learn about areas of study they are not specialised in, which creates productivity and efficiency in research processes. The technology also allows researchers to analyse citations and determine its relevance to their current projects. To tackle the ethical challenges AI presents, Zendy released an AI imperatives statement that guides the direction and intention behind developing AI products. Professor Leo Lo - Professor at University of New Mexico Governments and businesses should invest in developing AI literacy in current education landscape Conducted a survey in April 2023 amongst US academic library employees when Chat GPT was new and found that AI training was required, the employees presented a limited understanding of AI concepts, and that generative AI is not frequently used. Conducted follow-up surveys in December 2023 and found that there was a shift in attitude towards AI. Libraries had implemented AI solutions and applications while actively developing AI literacy initiatives. Developed AI competencies for librarians that tackles the comprehensive understanding, training and analysis required to confidently use AI to streamline library operations and transform services. Rodrigo Pinto - CTO of Zendy Introduction to LLMs: a LLM (Large Language Model) is a type of AI designed to understand and generate human language. This technology has reasoning capabilities, understands questions and reads from external knowledge to respond with insights. Introduction to ZAIA - AI Assistant for research: ZAIA is an LLM developed by Zendy. It was designed to expedite the research process by analysing study results and providing credible responses backed by references. Challenges of AI: bias, reliability, and data privacy. The mitigation strategies deployed by Zendy are safeguards and chains of verification and thought to minimise bias. As AI advances and creates efficiency across different industries, there has been a significant requirement to regulate the use of AI. In our efforts to make research accessible we launched a suite of AI tools on Zendy last year, to ensure ethical usage of our AI technology, we also established a comprehensive list of AI imperatives to guide the development and implementation of AI within our products. Discover academic research and easily consume papers with comprehensive AI tools now on Zendy. div { word-break: break-word !important; } ul { margin-bottom: 0px !important } @media (max-width: 767px) { li { margin-left: 1.5rem; list-style: disc; } p { margin-top: 0.5rem !important; margin-bottom: 0.5rem !important; } ul { margin-bottom: 20px !important } }

Research Better: 5 Best AI Tools for Research Efficiency
Jan 25, 20248 Mins ReadDiscover

Research Better: 5 Best AI Tools for Research Efficiency

The increased usage of AI tools has sparked many conversations in the world of academia, which inspired the innovation of AI tools for research. The integration of technology in academia has brought innovation that introduced digital libraries, plagiarism trackers and grammar-checking softwares, this changed the way researchers write and discover academic literature. In recent years, the academic sphere has witnessed the rapid growth and implementation of AI, which we believe can be leveraged to create efficiency in research. As an AI-powered research library, Zendy provides key tools like summarisation and keyphrase highlighting to streamline the process of literature review, we also developed and launched ZAIA, the AI research assistant. These tools have been designed to create efficiency in research, which allows researchers to invest significant time in data analysis and their primary research. With the growing integration of AI products, we believe in the ethical use of AI in the world of research while also harnessing the innovative technology to streamline research processes amongst students and researchers alike. According to a study that looked at the usage of AI amongst students, it was found that every fourth student (25.2%) uses AI-based tools frequently, while almost half of the students (47.8%) use AI-based tools occasionally. Slightly more than a third of the students (36.6%) do not use AI-based tools at all.  In this blog, we recommend the 5 best AI-driven tools to assist you with annotating, citing and more!1. Semantic Scholar Housing over 200 million papers from all fields of science, this tool generates a comprehensive summary of an academic paper, including the area of study the research addressed and its overall impact on the discipline. 2. ZAIA AI Assistant for Research ZAIA is a domain-specific LLM designed to assist researchers in understanding essential research concepts and finding relevant papers. This tool enhances the efficiency of the literature review process, providing answers backed by millions of academic research papers. 3. Tableau This tool generates date visualisation and analytical tools for businesses and researchers. The platform is equipped with Einstein AI which is driven by machine learning and delivers predictions and recommendations within Tableau workflows to assist with efficient decision-making. 4. Scite.ai This is a well-rounded citation tool that provides context to citations by clearly stating whether an academic paper supports or contrasts the cited claim. This helps researchers save time having to read lengthy papers and quickly determine whether the citation is relevant to their research. 5. Consensus AI This tool annotates insights about research papers using AI. It produces “study snapshots” to condense lengthy research papers by mentioning study aims, variables, and findings. The platform also provides credible responses backed by academic papers to queries, by presenting research papers that both support and contrast the query, allowing users to browse through objective responses. Limitations of AI Tools While AI tools are effective in streamlining research processes, they raise ethical concerns and can impact research integrity if misused. AI raises ethical issues including data privacy, algorithm bias and misuse of AI. However, due to the increasing usage of AI tools, policies are developing quickly to ensure the technology is adequately regulated. Tips for Using AI Tools in Research Follow these recommendations to ensure ethical AI usage: Always fact-check content generated by AI tools Do not write academic articles using AI tools. Instead, use these tools to edit and structure original research content. Do not use AI tools to generate references, instead use it to manage and store the references. Use AI tools that produce accurate results. Incorporate your own voice and style of written content as much as possible. In conclusion, AI is a resourceful innovation in academic research when used ethically. The correct and responsible usage of AI can create immeasurable efficiency in research processes, and aid in citation management, resource annotation, data visualization, literature discoverability and summarisation.Discover a comprehensive suite of AI-driven tools like summarisation, keyphrase highlighting and ZAIA - AI assistant for research on Zendy now.

See the Top Reads of December 2023
Jan 4, 20245 Mins ReadTop reads

See the Top Reads of December 2023

Behavior Economics This paper highlights how traditional economic models function on the assumption that people behave rationally, which is not always the case. The unification of psychology and economics introduces “prospect theory” which considers how individuals evaluate differently from standard economic theory, the paper also discusses the challenge of replacing rational principles with behavioral alternatives. Read more: Behavioral economics: Reunifying psychology and economics Sociology of Environmental Representation This paper discussed the relationship between environmental representatives and the methods of representation, how these factors contribute to the overall image of the environment. The authors argue that environmental representation goes beyond conversations and awareness and that representatives must lead by example; they propose to understand representation through the context of sociology as a way to learn how environmental politics, management and actions work. Read more: A sociology of environmental representation AI Systems Engineering AI systems engineering develops the new engineering practice in the intersection of systems engineering and artificial intelligence. This paper defines KI engineering while comparing it to historic examples of research disciplines that founded engineering while touching on the long-term challenges where further development is needed. Read more: KI-Engineering – AI Systems Engineering Surgical Site Cytology to Diagnose Spinal Lesions This paper places emphasis on diagnosing specific diseases causing spine lesions as early as possible. The authors propose cytological evaluation alongside regular tissue biopsies to discover these diseases. The study gathered samples from 44 patients from suspected cancerous areas in the spine, these samples were prepared in 2 methods; detailed tissue analysis and microscopic examination for cytological evaluation. Read more: Surgical Site Cytology to Diagnose Spinal Lesions Origamics in Architecture Japanese origami is a valuable tool in developing various engineering and design applications. Origamics is widely applicable as it is currently utilised in mathematics, engineering, biology, manufacturing medical equipment and vehicle parts. This paper discusses the potential of origamics in architectural study as an interface to gain cognitive experience on spatial transformation. Read more: Origamics In Architecture: A Medium Of Inquiry Or Design In Architecture Discover millions of e-books, journal articles, proceedings and more on Zendy now.

Zendy and IntechOpen's Joint Webinar: Addressing Accessibility, Discoverability and a Sustainable Future.
Jan 3, 20243 Mins ReadNews

Zendy and IntechOpen's Joint Webinar: Addressing Accessibility, Discoverability and a Sustainable Future.

We hosted a joint webinar with IntechOpen in November that addressed emerging technologies across different industries that contribute to sustainability and research accessibility and discovery. The webinar was titled, “Emerging Technologies - Partnering for Accessibility, Discoverability and a Sustainable Future.” The session featured 3 key speakers, Dr. Jo Havemann representing AfricArXiv, Professor Tatiana Morosuk from Technical University of Berlin and Zendy’s Head of Marketing, Monica Chinsami. Each speaker articulated how their organisation works to increase sustainable practices through research dissemination. Zendy’s Head of Marketing, Monica Chinsami highlighted our library’s initiatives to advance the accessibility and discoverability of scholarly literature. In an effort to break geographical barriers in research, Zendy partners with leading publishers to ensure their content reaches regions with limited access via our global subscription. Additionally, Professor Tatiana Morosuk from the Technical University of Berlin placed emphasis on the transionary period the energy sector is experiencing as it moves away from fossil fuel and towards technology focused on sustainability. The professor stated the importance of innovation to advance sustainable practices and energy use. Finally, Dr. Jo Havemann stated how AfricArXiv is on a mission to make African research more discoverable as this is in line with SDG 4 (Quality Education), the organisation announced their collaboration with Ubuntunet which is a network provider that assists with connectivity and infrastructure for research and education institutions. Advancing research dissemination catalyses SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). As equitable research platforms emerge and partner to expand their reach, the more academic research is democratised to create knowledgable societies. We look forward to hosting more webinars in 2024, to tackle and highlight the initiatives in the world of academia. Discover millions of e-books, journal articles, proceedings and more on Zendy now.

23 Reflections to Recap Zendy's 2023 Journey
Dec 15, 202317 Mins ReadDiscover

23 Reflections to Recap Zendy's 2023 Journey

Welcome to Zendy’s annual recap, where we reflect on another year of milestones. The ever-evolving landscape of scholarly communication this year was anything but stagnant, dominated by themes of openness, integrity, inclusion, and innovation. As we reflect on 2023, we're proud to have welcomed new publishers, attended events, celebrated milestones with our users, and released some really great features to continue to support our users on their research and learning journey. How we enhanced our user experience We developed and launched ZAIA Our most anticipated and exciting feature launch this year was ZAIA - Zendy's AI assistant. Ask any question, and ZAIA will analyse millions of researchers papers to give you credible answers backed by references. If you haven't already, log in to your Zendy account and put ZAIA to the test! We launched Zendy Plus globally We launched our global subscription plan at Frankfurt Book Fair 2023! The plan allows students, researchers and professionals globally to access scholarly material from leading publishers for the monthly price of a single research paper. This was a key milestone for us as our previous Zendy Plus plan was limited to several countries. Having an affordable and equitable access model strengthens our mission to remove the barriers to scholarly literature. Keyphrase Highlighting We released an AI-powered keyphrase highlighting tool. Instead of having multiple tabs open, looking for definitions and further research on a concept, Zendy highlights keyphrases in just one click to allow readers to grasp key research concepts quickly. Summarisation We also released an AI-powered summarisation tool. This tool summarises lengthy research papers into a concise paragraph on demand. This significantly helps readers save time during literature review. Reading Lists Earlier this year, we launched a reading list feature. Reading lists can be used to organise and categorise research papers according to projects, subject areas or whichever method the reader finds simplest to navigate through. New UI coming soon The team has been working on a brand new UI to transform the user journey on Zendy. Zendy will reveal a new fresh look very soon, with additional personalisation features to further enhance the discovery of scholarly literature. Milestones we marked with our users Welcomed over 400,000 readers We’re proud to support over 400,000 readers from 200 countries and territories on Zendy! We thank our valued community for their consistent support. The trust of our community fuels our mission to keep striving for a world where equal access to research is a reality. Over a 6 million searches & 2.5 million downloads We have seen over 6 million keywords searched on the platform. Searches ranging from the neural networks, to enteric bacteria, and social impact - we’re proud to support a diverse community of students, researchers, and professionals. We marked over 2.5 million downloads on Zendy! As we continue to work with new publishers, we look forward to bringing an even better selection of content to our readers. We exhibited, presented, and attended many events! Presented at Charleston Hub 2023 Our Partner Relations Manager, Sara Crowley Vigneau presented at Charleston Hub in partnership with IGI Global. The presentation titled ‘On the Open Road: The story of an OA publication through the stakeholder journey’ looked at the journey of a publication through the eyes of each custodian. Exhibited at STEP 2023 Earlier this year, our team exhibited Zendy at STEP 2023. Showcasing our Zendy alongside various startups inspired the team to learn from other tech products in the Middle Eastern region. Sponsored and presented at the Forum for Open Research MENA We were proud to sponsor the Forum of Open Research MENA, which is an event that highlights and advances open access initiatives in the Arab region. Our head of technology, Rodrigo Pinto, presented his insightful research paper titled, "Leveraging Big Data and Machine Learning to Enhance Open Data Quality: Insights for Developing Regions." Exhibited at Frankfurt Book Fair It was a pleasure to exhibit and connect with new and existing partners at Frankfurt Book fair 2023. We hosted a launch event at this year's fair, showcasing our Zendy Plus global subscription offering. Thanks to all who attended! Presented at the MENA Panel Our co-founder, Kamran Kardan spoke at The MENA panel titled, “AI wrote this abstract: The Impact of AI on higher education and academic research.” The discussion touched on the impact of AI on higher education, dissecting how it affects teaching, learning and ethical guidelines. Attended London Book Fair We attended the London Book Fair earlier this year. Our team met with many of our partners and other key leaders in scholarly communication. We look forward to exhibiting at next year’s fair. Exhibited at UKSG 2023 We also exhibited at our first UKSG conference this year. It was a really great experience connecting with and learning from some of the best minds in our global knowledge community. Joint Webinar with InTechOpen We partnered with InTechOpen to host a joint webinar titled, “Emerging Technologies - Partnering for Accessibility, Discoverability and a Sustainable Future.” Zendy’s Head of Marketing, Monica Chinsami, presented on the panel alongside Prof Tatiana Morosuk, Editorial Board Member of IntechOpen's Green Energy and Environmental Technology (GEET) journal, and Dr Jo Havemann, Co-founder of AfricArXiv. We welcomed new partners IEEE In September, we integrated IEEE’s open access research content. This partnership has brought significant technological research across various areas of study, like aerospace, robotics and more on Zendy. IT Governance In June, we partnered with IT Governance, which is a leading publisher of books on information technology, cybersecurity and governance. IGI Global We partnered with IGI Global, a leading publisher focused on research across different specialisms under the vast umbrella of Science. This partnership saw the addition of leading e-journals as well as book content across subject areas including Business & Management; Scientific, Technical, Medical (STM); and Education. Bristol University Press We also signed an agreement with Bristol University Press. BUP is well known for producing scholarship that advances theory, knowledge and learning within and beyond academia. InTechOpen We also welcomed IntechOpen to our partner community. InTechOpen specialises in journals and books in the fields of Medicine, Technology and Science. A couple of things we published Published SDG Report This year, we published an SDG report in partnership with Knowledge E. This comprehensive report helps us keep track of our efforts in accelerating the aims of the UN’s publishers compact. With a focus on SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities), Zendy progresses to ensure that academic research is accessible to everyone everywhere. An analysis of OER’s on Research Information Our co-founder, Kamran Kardan, wrote a piece on the future of Open Educational Resources and how the industry is preparing for them. In summary, with the uncapped potential of responsible AI, the future looks bright and full of innovative opportunities to positively impact societal progress. We look forward to continuing our journey together in 2024, and we thank you for your unwavering support. ol { margin-top: 0 !important; margin-bottom: 0 !important; } ol li { margin-left: 2rem !important; } p { word-break: initial !important; }

Zendy Launches ZAIA, a Domain-Specific AI Assistant
Dec 15, 20234 Mins ReadNews

Zendy Launches ZAIA, a Domain-Specific AI Assistant

United Arab Emirates, 15 December 2023 - AI-powered research library, Zendy, announced the launch of its AI Assistant, ZAIA, a domain-specific Large Language Model (LMM) developed by Zendy’s data science team. ZAIA (short for Zendy AI Assistant) exists to help researchers quickly understand key research concepts and discover research papers that specifically link to inputs. These two functions enhance the efficiency and effectiveness of the literature review process. You can ask any research-related question, and ZAIA will analyse millions of academic research papers to give you credible answers backed by references. Unlike general-purpose language models, ZAIA is trained with Zendy’s own data. In the future, it can also query, in real-time, additional sources from publisher data that are not available on the public domain. There is growing recognition of the necessity for domain-specific solutions to strengthen the credibility of data. Fine tuning models on domain-specific data narrows down the LLM’s focus to improve performance in a defined context, thus reducing the likelihood of hallucinations. “We developed ZAIA to advance the usage of AI on research platforms and improve the research discovery process for researchers. ZAIA aims to assist readers on Zendy by quickly solving research-related questions. ZAIA stands out from other AI products as it is fed real-time data and information available on Zendy, which is then fine-tuned to efficiently cater to our users,” said Zendy’s Head of Technology, Rodrigo Pinto. “The first iteration of our LLM, ZAIA, is our unique AI offering for Zendy users who can now leverage the best of AI to improve their research discovery process. This is a very exciting milestone for Zendy and we look forward to the feedback from our valued users,” said Zendy Co-founder Kamran Kardan. Committed to helping foster an ecosystem of collaborative partnerships rooted in responsible AI practices, Zendy’s Large Language Model is built to be entirely customisable. It has the capacity to learn from diverse datasets with integration made simple through Restful API’s or Websocket APIs. “Bigger picture, our technology presents limitless potential for organisations and institutions yet to integrate the power of LLMs into their workflows. The potential is immeasurable, with use cases including on-demand tutoring, psychology support services, employee onboarding, the list goes on,” continued Kamran Kardan. To find out more about Zendy’s AI solutions email hello@zendy.io. You can use ZAIA now on Zendy. To access, log in or sign up to Zendy: www.zendy.io.

Understanding Research Hypothesis: Perfect your hypothesis for your research statement
Dec 13, 20239 Mins ReadDiscover

Understanding Research Hypothesis: Perfect your hypothesis for your research statement

In academic research, the hypothesis statement directs the course of investigation and exploration. It serves as the foundation of an experiment as it is a proposed outcome, this guides the methodology and findings of a research design. In this blog, we shed light on the significance and intricacies of formulating an effective hypothesis that solidifies the approach while investigating its impact on relevant variables. What is a research hypothesis? A research hypothesis is a testable statement that predicts the relationship between two variables and how they impact one another. A good research hypothesis has no ambiguity, clearly specifies variables and is structured to be proven or countered depending on the trajectory of the study. This statement should also specify how the study aims to generate new knowledge through the experiment. What are the different types of hypotheses? Hypothesis TypeDefinitionExampleSimpleProposes a relationship between independent and dependent variable.Increased sunlight exposure leads to higher plant growth.ComplexProposes relationships between two or more independent and dependent variables.Increased sunlight exposure impacts the growth rate of specific plant species, and this effect is contingent upon factors such as the plant's genetic makeup, soil composition, and optimal climatic conditions, implying that while sunlight plays a crucial role, its influence on plant growth is mediated by multifaceted environmental and genetic variables.DirectionalDetails the directions derived from theory, specifies the steps to be taken to identify a relationship between relevant variables.Increased sunlight exposure significantly increases the rate of plant growth.Non-directionalDoes not predict exact nature of relationship between variables and is usually applied when there’s an absence of theory and contradictory results.There is a relationship between sunlight exposure and plant growth.NullProposes that there is no relationship between variables, justifies the generation of results through chance.There is no significant effect of increased sunlight exposure on plant growth.AlternativeOpposite to null, alternative hypothesis states that there is a significant relationship between two variables.Increased sunlight exposure is associated with higher plant growth. Components of a hypothesis In the case of research experiments, a good hypothesis contains independent and dependent variables, the predicted relationship between them, and the outcome of this relationship. Example hypothesis: Variables: Employee job satisfaction (independent variable) influences productivity levels (dependent variable) within an organization. Predicted Relationship: Higher job satisfaction among employees will lead to increased productivity levels. Outcome: The study might find that departments or teams with higher job satisfaction scores tend to demonstrate greater productivity, implying a positive relationship between job satisfaction and productivity. Why is a well-written hypothesis important? A well-written hypothesis is the foundation of a research study, it helps the researcher determine how to address the investigation. A good hypothesis also aids in assuming the probability of the study’s failure or progress while also ensuring the methodologies are scientifically valid. Furthermore, the research hypothesis statement links the underlying theory to the research question while also measuring the reliability and validity of the study itself. Common hypothesis errors to avoid Your research hypothesis should be specific and clear. When constructing the hypothesis, try to be as concise as possible while understanding that less is more. The following should be avoided in research hypotheses: Ambiguity, overgeneralisation and lack of specifics Having too many variables without establishing clear relationship between them Unvalid or insufficient justification of variable relationship FAQs What are some tips for ensuring testability of a hypothesis? The hypothesis should be structured in a way wherein the possibility of it being being false or true is present. Furthermore, the results of the hypothesis should be reproducible. How do I differentiate between a research question and a research hypothesis? A research question states what the study will investigate without making any assumptions or predictions, whereas a hypothesis answers that question through predicting relationships between variables and their possible outcome. What are the potential drawbacks of a poorly formulated hypothesis? Having a poor hypothesis structure can negatively impact the research design as the hypothesis statement guides the methodology and findings sections.  Discover millions of open access research papers across an array of disciplines on Zendy now. ol, ul { margin-top: 0px !important; margin-bottom: 0px !important; } p, ul, li, ol { word-break: initial !important; }

See the Top Reads of November 2023
Dec 5, 20236 Mins ReadTop reads

See the Top Reads of November 2023

As we approach the end of 2023, this blog explores November’s insightful top reads featuring research papers from various areas of study such as psychology, political media, law, cancer research and technology within justice systems. The Art of Remembering This article discusses how our memory can be strengthened in this printing and note-making era, through the “loci method”. This method involves constructing visual images of objects and mentally placing them in a familiar space, to recall the memory you would need to simply retrace your steps back to where you mentally placed the item. Learn more here: Psychology: The Art of Remembering Post-mining Policies in The Eastern USA Coal Region This journal article discusses the development of mining laws in the US. Since 1977, mine operators are required to conduct a pre-mining analysis and designate a usage for the land once mining and extraction has concluded. Accepted post-mining use of land are: prime farmland, hay land and pasture, biofuel crops, forestry, wildlife habitat and building site development. This article emphasises that post-mining conditions should provide ecosystem services and lands capable of handling future societal needs. Learn more here: Post-mining policies and practices in the Eastern USA coal region Integrative Approach to Cancer Research This article states that precision oncology has progressed cancer treatment focused on actionable gene mutation, however the majority of cancers don’t have druggable oncogene mutations. The paper proposes that for precision oncology to progress, it has to consider more than just genetics; therefore suggesting researchers should focus on immunotherapy which is a treatment used to help the body’s immune system recognise and attack cancer cells. Furthermore, the paper urges medical professionals to take advantage of research across numerous fields as patient care is not one universal approach. Learn more here: Integrative approaches to cancer research Political Public Relations: Media and Information Management This article argues that information in political PR is disseminated by manipulating the material, which is commonly known as “communication spin”. It explores how governments assign communications specialists to execute these spins since media and information management are the most important aspects of political PR. The paper goes on to assess and analyse various spin techniques used in political PR that governments deem “acceptable.” Learn more here: Political Public Relations − Media and Information Management Algorithms in Swiss Criminal Justice System The Swiss justice system is shaped by algorithms which were implemented due to demands for efficiency and political advancement. This paper calls for a critical evaluation and research-based optimisation of these algorithms as the societal implications and legal foundations on the usage of such technology is loosely considered. Furthermore, the paper suggests that potential racial disparity and decline in user responsibility have been criticised widely. Learn more here: Smart criminal justice: exploring the use of algorithms in the Swiss criminal justice system Discover millions of e-books, journal articles, proceedings and more on Zendy now.