Labor pain and its relieving methods is one of the anxieties of mothers having a great impact on the quality of care during delivery as well as the patients' satisfaction. The propensity of using non-medicinal pain relief methods is increasing. The present study aimed to compare the effect of Acupressure at two GB-21 and SP06 points on the severity of labor pain. In this quasi-experimental single blind study started on December 2010 and ended on June 2011 in which 150 primiparous women were divided into three groups of Acupressure at GB-21 point, Acupressure at SP-6 point and control group. The intervention was carried out for 20 min at 3-4 and 20 min at 7-8 cm dilatation of Cervix. The pain severity was measured by Visual Analog Scale before and immediately, 30 and 60 min after the intervention. Then, the data were statistically analyzed. No significant difference was found among the 3 groups regarding the pain severity before the intervention. However, the pain severity it was reduced at 3-4 and 7-8 cm dilatation immediately, 30 and 60 min after the intervention in the two intervention groups compared to the control group (p<0.001). Nonetheless, no statistically significant difference was observed between the two intervention groups (p = 0.93). The results of the study showed that application of Acupressure at two GB-21 and SP-6 points was effective in the reduction of the severity of labor pain. Therefore, further studies are recommended to be performed on the application of Acupressure together with non-medicinal methods.

An optimisation-based decision-making support is proposed in this study in the form of fuzzy-probabilistic programming, which can be used to solve integrated order allocation, production planning, and inventory management problems in fuzzy and probabilistic uncertain environments. The problem was modelled in an uncertain mathematical optimisation model with two objectives: maximising the expectation of production volume and minimising the expectation of total operational cost subject to demand and other constraints. The model belongs to fuzzy-probabilistic bi-objective integer linear programming, and the generalised reduced gradient method combined with the branch-and-bound algorithm was utilised to solve the derived model. Numerical simulations were performed to illustrate how the optimal decision was formulated. The results showed that the proposed decision-making support was successful in providing the optimal decision with the maximum expectation of the production volume and minimum expectation of the total operational cost. Therefore, the approach can be implemented by decision-makers in manufacturing companies.

Data envelopment analysis (DEA) is widely used in various fields and for various models. Inverted data envelopment analysis (inverted DEA) is an extended model of DEA. Regression analysis (RA) is a statistical process for estimating the relationships among variables based on the model of averaged image. There are no essential relations among DEA and RA and inverted DEA. We creatively combine DEA, RA and inverted DEA to propose a new model: DEA-RA-Inverted DEA model. The model realises the efficiency estimation and evaluation through a discussion of the residual variables and the residual ratio coefficients. In addition, we will demonstrate the effectiveness of the model by applying it to efficiency estimation and evaluation of 16 Chinese logistics enterprises.

This study addresses a critical chain project scheduling (CCPS) problem regarding the feeding buffer. The main contribution of this study lies in determining the critical chain when the feeding buffer is considered along with the project buffer, a less addressed issue in the critical chain literature. Using a mixed-integer nonlinear programming (MINLP) model, the critical chain of a project with no break-down and no overflow is found. Moreover, the impact of the feeding buffer on the criticality of activities is discussed. The problem is solved using the Lingo software package for validation in small-sized instances. Since the CCPS is known as an NP-hard problem, a genetic algorithm (GA) is also designed to solve large-scale instances. The algorithm's performance is confirmed using various project scheduling library test problems. Sensitivity analysis is implemented based on some crucial parameters, and the critical chain is analysed after conducting several experiments. It is shown how considering the feeding buffer makes different critical chains and how shortlisting activities and resources are optimally managed.

Congcong FANG,Yun JIN,Guanlin CHEN,Yunfan ZHANG,Shidang LI,Yong MA,Yue XIE, Vol.E107-D, No.11, pp.1463-1467
Currently, an increasing number of tasks in speech emotion recognition rely on the analysis of both speech and text features. However, there remains a paucity of research exploring the potential of leveraging large language models like GPT-3 to enhance emotion recognition. In this investigation, we harness the power of the GPT-3 model to extract semantic information from transcribed texts, generating text modal features with a dimensionality of 1536. Subsequently, we perform feature fusion, combining the 1536-dimensional text features with 1188-dimensional acoustic features to yield comprehensive multi-modal recognition outcomes. Our findings reveal that the proposed method achieves a weighted accuracy of 79.62% across the four emotion categories in IEMOCAP, underscoring the considerable enhancement in emotion recognition accuracy facilitated by integrating large language models.
Publication Date: 2024/11/01

Takahito YOSHIDA,Takaharu YAGUCHI,Takashi MATSUBARA, Vol.E107-D, No.11, pp.1458-1462
Accurately simulating physical systems is essential in various fields. In recent years, deep learning has been used to automatically build models of such systems by learning from data. One such method is the neural ordinary differential equation (neural ODE), which treats the output of a neural network as the time derivative of the system states. However, while this and related methods have shown promise, their training strategies still require further development. Inspired by error analysis techniques in numerical analysis while replacing numerical errors with modeling errors, we propose the error-analytic strategy to address this issue. Therefore, our strategy can capture long-term errors and thus improve the accuracy of long-term predictions.
Publication Date: 2024/11/01

Nat PAVASANT,Takashi MORITA,Masayuki NUMAO,Ken-ichi FUKUI, Vol.E107-D, No.11, pp.1453-1457
We proposed a procedure to pre-process data used in a vector autoregressive (VAR) modeling of a temporal point process by using kernel density estimation. Vector autoregressive modeling of point-process data, for example, is being used for causality inference. The VAR model discretizes the timeline into small windows, and creates a time series by the presence of events in each window, and then models the presence of an event at the next time step by its history. The problem is that to get a longer history with high temporal resolution required a large number of windows, and thus, model parameters. We proposed the local density estimation procedure, which, instead of using the binary presence as the input to the model, performed kernel density estimation of the event history, and discretized the estimation to be used as the input. This allowed us to reduce the number of model parameters, especially in sparse data. Our experiment on a sparse Poisson process showed that this procedure vastly increases model prediction performance.
Publication Date: 2024/11/01

One of the main tasks in tax administration is debt management. The main goal of this function is tax due collection. Statements are processed in order to select strategies to use in the debt management process to optimise the debt collection process. This work proposes to carry out a data mining process to predict debts of taxpayers with high probability of non-payment. The data mining process identifies high-risk debts using a survival analysis on a dataset from a tax administration. Three groups of tax debtors with similar payment behaviour were identified and a success rate of up to 90% was reached in estimating the payment time of taxpayers. The concordance index (C-index) was used to determine the performance of the constructed model. The highest prediction rate reached was 90.37% corresponding to the third group.

To capture the complexity and diversity of systems with both technical and social features, modelling methods are needed that similarly provide various tools and concepts. Study of developed methods shows that despite all of their advantages and strengths, there is a need for a method that with a holistic approach integrates perspectives, strengths and tools of the developed methods and models with different aspects of socio-technical systems. The main aim of the current study is to design a method for modelling complex socio-technical systems. To achieve this goal, it is necessary to design a method that is based on creativity and existing knowledge base. Therefore, design science research is used as a research strategy to design proposed method. For the first time, design science research in the field of operations research has been used to design a modelling method. This study also presents new tools and concepts for modelling socio-technical systems.

In Italy, the reimbursement provided to healthcare organisations for medical and surgical procedures is based on the diagnosis related group weight (DRGW), which is an increasing function of the complexity of the procedures. This makes the reimbursement an upper unlimited function. This model does not include the relation of the volume with the complexity. The paper proposes a mathematical model for the optimisation of the reimbursement by determining the optimal mix of volume/procedure, considering the relation volume/complexity and DRGW/complexity. The decreasing, linear, and increasing returns to scale have been defined, and the optimal solution found. The comparison of the model with the traditional approach shows that the proposed model helps the healthcare system to discern the quantity of the reimbursement to provide to health organisations, while the traditional approach, neglecting the relation between the volume and the complexity, can result in an overestimation of the reimbursement.

Recent innovations in additive manufacturing (AM) have proven its efficacy for not only the manufacturing industry but also the healthcare industry. Researchers from Cal Poly, San Luis Obispo, and California State University Long Beach are developing a model that will determine the optimal locations for additive manufacturing hubs that can effectively serve both the manufacturing and healthcare industries. This paper will focus on providing an overview of the healthcare industry's unique needs for an AM hub and summarise the specific inputs for the model. The methods used to gather information include extensive literature research on current practices of AM models in healthcare and an inclusive survey of healthcare practitioners. This includes findings on AM's use for surgical planning and training models, the workflow to generate them, sourcing methods, and the AM techniques and materials used. This paper seeks to utilise the information gathered through literature research and surveys to provide guidance for the initial development of an AM hub location model that locates optimal service locations.

Ph.D. Dissertation Defense Modeling and Extracting Information about Cybersecurity Events from Text Taneeya Satyapanich 9:30-11:30 Monday, 18 November, 2019, ITE346? People now rely on the Internet to carry out much of their daily activities such as banking, ordering food, and socializing with their family and friends. The technology facilitates our lives, but also comes with […]

The post Defense: Taneeya Satyapanich, Modeling and Extracting Information about Cybersecurity Events from Text appeared first on UMBC ebiquity.

Building on prior work showing that abusive supervision is a reaction to subordinates' poor performance, we develop a self-control framework to outline when and why supervisors abuse poor performing subordinates. In particular, we argue poor performing subordinates instill in supervisors a sense of hostility towards the subordinate, which in turn leads to engaging in abusive supervision. Within this self-control framework, poor performance is more likely to lead to abusive supervision when (a) the magnitude of the hostility experienced is higher (e.g., for those with a hostile attribution bias), or (b) the translation of hostility into abusive supervision is unconstrained (e.g., for those who are low in trait mindfulness). In two experimental studies with full-time supervisors where we manipulated the independent variable (Study 1) and the mediator (Study 2), and in a multi-wave and multi-source field study with data collected from supervisor-subordinate teams (50 supervisors and 206 subordinates) at two time points (Study 3), we found overall support for our predictions. Implications for how to reduce the occurrence of abusive supervision in the workplace are discussed.

This paper examines when firms pursue structural realignment through the recombination of business units. Our results refine and extend contingency theory and studies of organization design by drawing on theories of decision avoidance and delay to describe conditions when firms pursue or postpone structural realignment. Our empirical analysis of 46 firms from 1978 to 1997 operating within the U.S. medical device and pharmaceutical sectors demonstrates that while decision makers initiate structural recombination during periods of industry growth (i.e., munificence), they reduce their recombination efforts during periods of industry turbulence (i.e., dynamism) and managerial turbulence (i.e., growth in top management team size). We also find evidence that firms delay realignment and bide their time for better environmental conditions of declining turbulence and industry growth before pursuing more structural realignment. Together, these findings suggest that decision makers often delay initiating structural recombination until they can effectively process information and assess how structural changes will help them realign the organization to the environment.

British Vogue's editor says skinny models are back "in", partly fuelled by weight loss drug Ozempic.

NEW YORK: The judge overseeing Donald Trump’s criminal hush money case has put off ruling on whether the president-elect’s conviction should be thrown out on immunity grounds, enabling prosecutors to weigh next steps following his Nov. 5 election victory.

Justice Juan Merchan had been due to rule on Tuesday on Trump’s argument that the U.S. Supreme Court’s decision in July that presidents are immune from prosecution involving their official acts meant the New York state case should be dismissed.

Instead, Merchan granted a request by Manhattan District Attorney Alvin Bragg’s office to have until Nov. 19 to consider how to approach the case in light of Trump’s looming inauguration in January 2025, email correspondence made public on Tuesday showed.

Trump’s scheduled Nov. 26 sentencing is now widely expected to be postponed.

Trump in May became the first U.S. president - former or sitting - convicted of a crime when a jury in Manhattan found him guilty on 34 felony counts of falsifying business records to cover up a potential sex scandal shortly before his first election win in 2016. Trump, who pleaded not guilty, has vowed to appeal the verdict after sentencing.

Prosecutor Matthew Colangelo wrote there were “competing interests” between ensuring a criminal case proceeds as usual and protecting the office of the president.

“The People agree that these are unprecedented circumstances,“ Colangelo wrote.

Trump is set to be the first felon inaugurated as president after his victory over Vice President Kamala Harris.

At issue in the six-week Manhattan trial was a $130,000 payment made by Trump’s then-lawyer Michael Cohen to adult film actress Stormy Daniels to keep quiet about a sexual encounter she said she had with him in 2006 but which he has denied.

Trump’s defense lawyer Emil Bove wrote that the case ultimately needed to be dismissed to avoid interfering with Trump’s presidential duties.

“The stay, and dismissal, are necessary to avoid unconstitutional impediments to President Trump’s ability to govern,“ Bove wrote.

TRUMP FACED FOUR CRIMINAL CASES

Trump, 78, is hoping to enter office unencumbered by any of four criminal cases he has faced and which once were thought to have threatened to derail his 2024 candidacy to return to the White House after having served from 2017-2021.

The Republican Trump has portrayed the hush money case brought by Bragg, a Democrat, and the three other state and federal criminal indictments brought in 2023 as politically motivated attempts to harm his presidential campaign. He pleaded not guilty in all four cases.

“It is now abundantly clear that Americans want an immediate end to the weaponization of our justice system,“ Trump campaign spokesperson Steven Cheung said in a statement on Tuesday.

Special Counsel Jack Smith brought two of the cases against Trump, one involving classified documents he kept after leaving office and the other involving his efforts to overturn his 2020 election loss. A Florida-based federal judge in July dismissed the documents case. The Justice Department is now evaluating how to wind down Smith’s election-related case.

Trump also faces state criminal charges in Georgia over his bid to reverse his 2020 loss in that state, but the case remains in limbo.

The Supreme Court, in a decision arising from one of Smith’s two cases against Trump, decided that presidents are immune from prosecution involving their official acts and that juries cannot be presented evidence of official acts in trials over personal conduct. It marked the first time that the court recognized any degree of presidential immunity from prosecution.

In making the case for immunity, Trump’s lawyers said the jury that convicted Trump in the hush money case was shown evidence by prosecutors of his social media posts as president and heard testimony from his former aides about conversations that occurred in the White House during his 2017-2021 term.

Bragg’s office countered that the Supreme Court’s ruling has no bearing on the case, which they said concerned “wholly unofficial conduct.” The Supreme Court in its ruling found no immunity for a president’s unofficial acts.

NEW DELHI: A toxic haze enveloped India’s national capital on Wednesday morning as temperatures dropped and pollution surged, reducing visibility in some parts and prompting a warning from airport authorities that flights may be affected.

Delhi overtook Pakistan’s Lahore as the world’s most polluted city in Swiss group IQAir’s live rankings, with an air quality index (AQI) score of more than 1,000, considered “hazardous”, but India’s pollution authority said the AQI was around 350.

Officials were not immediately available to explain the variation.

The India Meteorological Department (IMD) said the pollution had reduced visibility to 100 metres (328 feet) in some places by around 8 a.m. (0230 GMT).

“Low visibility procedures” were initiated at the city’s Indira Gandhi International Airport, operator Delhi International Airport Limited said in a post on social media platform X.

“While landing and takeoffs continue at Delhi Airport, flights that are not CAT III compliant may get affected,“ the authority said.

CAT III is a navigation system that enables aircraft to land even when visibility is low.

The IMD said the city’s temperature dropped to 17 degrees Celsius (63 degrees Fahrenheit) on Wednesday morning from 17.9C on Tuesday, and may fall further as sunlight remains cut off due to the smog.

Delhi battles severe pollution every winter as cold, heavy air traps dust, emissions, and smoke from farm fires set off illegally in the adjoining, farming states of Punjab and Haryana.

Previously, authorities have closed schools, placed restrictions on private vehicles, and stopped some building work to curb the problem.

The city’s environment minister said last week that the government was keen to use artificial rain to cut the smog.

Pakistan’s Punjab province, which shares a border with India, has also banned outdoor activities, closed schools, and ordered shops, markets and malls to close early in some parts in an effort to protect its citizens from the toxic air.

SAIC MOTOR MALAYSIA recently celebrated a major milestone for the MG5 sedan at the MG5 Car Delivery Event at MG Motor Glenmarie (Mega Galeri Sdn Bhd), where over 20 new owners gathered to receive their cars. The event, attended by SAIC Motor Malaysia’s management, fostered a strong community atmosphere, uniting MG fans and showcasing the brand’s commitment to its customers.

The success of the MG5 is largely due to efficient coordination among 18 strategically placed MG Motor Authorized Dealerships, allowing prompt vehicle deliveries across Malaysia. This dealer network is key to SAIC Motor Malaysia’s mission to meet the demands of Malaysia’s style-conscious market.

Lee Wen Hsiang, Chief Operating Officer of SAIC Motor Malaysia, noted, “The MG5 has truly resonated with a segment of buyers who prioritise style and individuality. We’re thrilled to celebrate this milestone alongside our customers.” He highlighted that these events strengthen connections with customers, offering valuable feedback that helps improve service and build a vibrant MG community.

The MG5 stands out as the largest sedan in its class, with a sporty design, spacious interior, and impressive warranties. Owners enjoy a 5-year Unlimited Mileage Warranty and a best-in-segment 7-year Unlimited Mileage Powertrain Warranty. Celebrating MG’s 100th anniversary, SAIC is also offering an RM7,000 introductory rebate, bringing the price to RM86,900, making it an attractive option for new buyers.

Dell OS Recovery Tool is a freeware app that can be used to create a USB recovery drive to reinstall the Windows or Linux that came with your PC. Dell OS Recovery Tool is easy enough for anyone to use following the simple four steps in order. [License: Freeware | Requires: 11|10|8 | Size: 25 MB ]

Random Photo: My Amazon Delivery

Many people don't understand their rights as a an airline passenger or when they're due compensation. Here's what you need to know before your next flight.

The post What To Do if Your Flight Is Delayed or Canceled appeared first on Clark Howard.

Fans on social media couldn’t keep their excitement at bay at the sight of the two actors side by side in a new photo

Pakistan is the only country in the world where 90% of them are deprived of old-age benefits

Apple’s shares fell 1.7 per cent on Tuesday, a day after the US tech giant unveiled its new iPhones with AI

Karachi's biryani vendors offer variations of the beloved dish, reflecting South Asia's shared heritage

Peaking prices of rich, traditional dishes have forced people to embrace frugality this chilly season

'Indian' dish Keema came at six with Korma and Dal claiming spots 22 and 50 respectively on TasteAtlas list

This tutorial will show you how to delete the installed theme through a WordPress dashboard and FTP manager.

The post WordPress. How to delete WordPress theme appeared first on Template Monster Help.

As Techdirt stories attest, Wikipedia has been attacked in the past for publishing true information that somebody doesn’t like. As well as wanting articles to be censored, those behind such attacks often also demand the names of those who worked on the article. Something similar is now happening in India, where the Indian news agency […]

As we harness AI’s potential, specialised models for sectors like climate change offer a promising path forward.

Ryan Reynolds marked the Disney+ release of Deadpool & Wolverine on November 12 by sharing a humorous deleted scene from the film.

Four months after the movie’s theatrical debut, Reynolds celebrated its streaming launch by posting the unseen clip on his Instagram stories and X...

Priyanka Chopra introduces daughter Malti to 'Citadel' world

Priyanka Chopra is keeping a smooth balance between work and life as shooting for the second season of Citadel begins.

The actress, 42, just announced the return via an Instagram post where the crew for...

1. Delivery

2. Shipping costs (Germany)

3. Shipping costs (Zone 1 - Europe EU)

4. Shipping costs (Zone 2 - Europe without EU)

5. Shipping costs (Zone 3 - World)

6. Shipping costs (Zone 4 - World)

7. Delivery time

• product availability
• chosen payment option
• destination country

• in stock (ready for dispatch)
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Sidste uge kolliderede to store kulturbegivenheder på dansk grund. RokokoPostens reporter var med begge steder - samtidig!

Indlægget Komparativ kulturanmeldelse: Folkemødet vs CopenHell blev først udgivet på RokokoPosten.

US President-elected Donald Trump. — Reuters/file

The judge...

1. You don’t have to use cash for everything. Here’s how to tell in which categories you should use cash. To reap the benefits of using cash in your budget, you don’t have to go exclusively to cash. Some may choose to go exclusive, but it’s not necessary. Instead, identify which categories will be most […]

The post 11 Guidelines For Using Cash In Your Budget first appeared on Getting Finances Done.

The Miami sideline was loaded with talent this past weekend. Michael Irvin was there, just like he's been all season no matter where the game is. Ray Lewis did his trademark dance. Edgerrin James, Jessie Armstead, Bryant McKinnie, Rohan Marley,Bernie Kosar and Clinton Portis all showed up as well.

April McClain-Delaney, a Democrat, was announced the winner of the open seat in Maryland's 6th Congressional District late Saturday, four days after Election Day.

NFL Commissioner Roger Goodell has an answer for German fans wondering about rumors the league could be heading to their capital city of Berlin: "Believe it."

Former NFL coach Jack Del Rio will part ways with the University of Wisconsin's football team after he was arrested last week on a drunk driving charge.

Preston Mattingly, a son of former star first baseman and manager Don Mattingly, was promoted to general manager of the Philadelphia Phillies on Friday under president of baseball operations Dave Dombrowski.

affaritaliani.it
 
 
08-11-2017.-
  
Alessandro Sahebi
 

The EUBrazilOpenBio project  announces two new training tools as a part of its e-training Programme aiming at educating and enabling current and potential users of EUBrazilOpenBio to unlock new knowledge and shape effective policy on biodiversity challenges. The new tools cover the following use cases: Ecological Niche Modeling and Cross-mapping.

The EUBrazilOpenBio anytime, anywhere eTraining tools are designed for researchers in the spheres of Biodiversity, Life science, Climate Change, application Developers as well as regulatory authorities and policy decision-makers.

EUBrazilOpenBio is focused on tackling the complexity of biodiversity science such as the diversity of multidisciplinary datasets spanning from climatology to earth sciences by integrating advanced computing resources with data sources across Europe and Brazil.

For more informationand to try out the new tools click here.

Global Biodiversity Informatics Outlook sets out key steps to harness IT and open data to inform better decisions

Copenhagen, Denmark – A new initiative launched today (2 Oct) aims to coordinate global efforts and funding to deliver the best possible information about life on Earth, and our impacts upon it.

The Global Biodiversity Informatics Outlook sets out a framework to harness the immense power of information technology and an open data culture to gather unprecedented evidence about biodiversity and to inform better decisions.

The framework is outlined in a document and website entitled Delivering Biodiversity Knowledge in the Information Age, inviting policy makers, funders, researchers, informatics specialists, data holders and others to unite around four key focus areas where progress is needed.

The focus areas, each consisting of several specific components, are:

• Culture – promoting practices and infrastructure for sharing data, using common standards and persistent archives, backed up by strong policy incentives and a community of willing specialists;
• Data – addressing the need to transform all data about species, past and present, into usable and accessible digital formats; from historic collections and literature to citizen science observations, remote sensors and gene sequencing;
• Evidence – organizing and assessing data from all sources to provide clear, consistent views giving them context; including taxonomic organization, integrated occurrences in time and space, capturing information about species interactions, and improving data quality through collaborative curation; and
• Understanding – building models from recorded measurements and observations to support data-driven research and evidence-based planning, including predictive tools, better visualization and feedbacks to prioritize new data capture.

The document is being promoted through a number of upcoming events this month, including the Governing Board of the Global Biodiversity Information Facility and the Subsidiary Body on Scientific, Technical and Technological Advice of the Convention on Biological Diversity (CBD SBSTTA) where it forms part of the discussion on meeting global targets to end biodiversity loss.

The framework arose from the Global Biodiversity Informatics Conference which gathered around 100 experts in Copenhagen in July, 2012, to identify critical questions relating to biodiversity and tools needed answer them. Workshop leaders at that conference went on to draw up and author the current document.

The Global Biodiversity Informatics Outlook includes examples of projects and initiatives contributing to its objectives, and the accompanying website www.biodiversityinformatics.org invites feedback from others wishing to align their own activities to the framework.

A deck of slides for presentations about GBIO is available at http://www.slideshare.net/GBIF/global-biodiversity-informatics-outlook

The Biodiversity Data Journal goes beyond the basics of the Gold Open Access

There are two main modes of open access publishing – Green Open Access, where the author has the right to provide free access to the article outside the publisher's web site in a repository or on his/her own website, and Gold Open Access, where articles are available for free download directly from the publisher on the day of publication.

Opening of content and data, however does not necessarily mean "easy to discover and re-use". The Biodiversity Data Journal proposed the term "Advanced Open Access" to describe an integrated, narrative (text) and data publishing model where the main goal is to make content "re-usable" and "interoperable" for both humans and computers.

To publish effectively in open access, it is not sufficient simply to provide PDF or HTML files online. It is crucial to put these under a reuse-friendly license and to implement technologies that allow machine-readable content and data to be harvested and collated into a big data pool.

The Advanced Open Access means:

• Free to read
• Free to re-use, revise, remix, redistribute
• Easy to discover and harvest
• Content automatically summarised by aggregators
• Data and narrative integrated to the widest extent possible
• Human- and computer-readable formats
• Community-based, pre- and post-publication peer-review
• Community ownership of data
• Free to publish or at low cost affordable by all

BDJ shortens the distance between "narrative" (text) and "data" publishing. Many data types, such as species occurrences, checklists, measurements and others, are converted into text from spreadsheets for better readability by humans. Conversely, text from an article can be downloaded as structured data or harvested by computers for further analysis.

"Open access is definitely one of the greatest steps in scientific communication comparable to the invention of the printing technology or the peer-review system. Great but not sufficient!" said Prof. Lyubomir Penev, founder of Pensoft Publishers and the Biodiversity Data Journal. "We need to switch the focus already from making content 'available for free download' to being discoverable and extractable. Such re-usability multiplies society's investment in science".

Additional information:

The Biodiversity Data Journal is designed by Pensoft Publishers and was funded in part by the European Union's Seventh Framework Program (FP7) project ViBRANT.

Source: Smith V, Georgiev T, Stoev P, Biserkov J, Miller J, Livermore L, Baker E, Mietchen D, Couvreur T, Mueller G, Dikow T, Helgen K, Frank J, Agosti D, Roberts D, Penev L (2013) Beyond dead trees: integrating the scientific process in the Biodiversity Data Journal. Biodiversity Data Journal 1: e995. DOI: 10.3897/BDJ.1.e995

The second plenary of the Platform met in December 2013 and agreed an ambitious work programme for 2014-2018: Details of the agreed work programme are available in the advanced meeting report of the Plenary.

The IPBES Secretariat have now issued a call for experts to help scope, advise on and deliver the work programme. Governments and relevant stakeholders can put forward nominations, from which the Multidisciplinary Expert Panel of IPBES will select a maximum of 20% of experts from the stakeholder nominations, and the rest from the government nominations.

The UK expects IPBES to make use of the best scientists/experts from all relevant disciplines - natural science, social science, economics, data and modelling and traditional knowledge, and to achieve a geographical and gender balance among those experts in the delivery of the IPBES work programme.

More information of the required topics to be covered by experts, alongside the nomination forms and how to nominate can be found in the attachments below.