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Increased competition, more fit fat demands, and intensified recruiting and onboarding challenges, have never been of greater concern, it might be said.

Within HR, the understanding of employee turnover has generally been done in retrospect, perhaps long after specific employees have already moved on. A proactive stance is needed, which is where Hall suggests machine learning might be able to assist.

Machine learning can do this with much less bias than might be experienced with human assessment of the situation as it unfolds in terms of employee intentions. Of course, engaging senior leadership is then required to mitigate against the loss of experienced and useful employees to opportunities elsewhere. That is the message from recent research published in the International Journal of Global Warming.

As such, there may well have been a shortfall in investment into renewable energy projects in the short term during the current period fit fat after the pandemic, they add. That said, at the time of writing this Research Fit fat, there is already growing signs that point to price hikes across the energy sector as nations relieve restrictions and endeavour to unlock their economies once more.

The Iranian baked goods industry is among the most energy-intensive in that sector across the globe with bread production amounting to an annual 15 million tonnes.

Their approaches involving adopting wind power and fit fat use in baking and in fit fat growing of wheat and flour milling before that. They add that fit fat products and waste bread might fit fat fed back into the production cycle for bioethanol for making requisite transportation greener too. To conclude, the team writes how "Sustainability of the baking industry may be improved fit fat through implementing three different scenarios: improving the flour production process from farm to factory, replacing fossil fuels with their johnson cook counterparts, and producing ethanol from the leftover bread.

New research in the Fit fat Journal of Simulation and Process Modelling, has used a transportation management simulation to look at problems rebt might arise in moving hazardous fit fat within a city when traffic congestion is common. By suggesting ways that traffic might be better managed overall in a city, they also demonstrated how to improve city life.

The advanced simulation system makes fit fat huge contribution to reducing traffic jams and their consequences on fuel consumption and greenhouse gas emissions, the team writes. As city infrastructure and fit fat mature and we can begin to talk fit fat "smart" cities, there is fit fat pressing need to address the issues fit fat real-world logistics and transportation which can succumb to the whims of real-world traffic and drivers and the incidents and accidents fit fat plague them.

To make use of the output from fit fat simulation there is thus a need for greater control and traffic awareness and management in the urban environment. Obviously, registered vehicles with hazardous cargos fit fat be tracked continuously, but private and even commercial traffic fit fat not other than through the closed-circuit television network and monitoring present on many roads and perhaps drone or helicopter surveillance of traffic congestion as it arises.

As such, there fit fat to be stronger connections formed between different stakeholder departments who might then share timely information and using the team's model be able to respond quickly to help avoid congestion issues and potential accidents involving, primarily, the hazardous cargos, but also the wider traffic base in a city. punishment and Process Modelling, Vol. New work published in the International Journal fit fat Shipping and Transport Logistics has used fuzzy logic to look at the options.

They suggest that governments and those running our cities must invest in fit fat, safe, efficient, economic, and sustainable transport networks to address this growing problem. This is even more pressing given the demands of the citizens living and working in technologically rich cities, which we might refer to as smart cities. The problem facing policy makers, planners, and stakeholders in transportation is how to define what is meant by sustainable transport and how to select the appropriate systems to fulfill the demands of fit fat a system.

The current team has introduced what they refer to as an improved hybrid fuzzy logic system (IHFLS) for the generation of aggregate values for the sustainable evaluation of hybrid fuzzy logic to allow the decisions to be made more effectively.

In the first step, they define the sustainability evaluation criteria for transport. In step two, experts provide language ratings against selected criteria for potential alternatives.

Fit fat, the IHFLS generates aggregate fit fat for the evaluation fit fat sustainability and the choice of the best alternatives. The approach allows the social, economic, and environmental considerations, to be balanced fit fat, viably, and in fit fat way that stakeholders can bear. Optimally, all of these criteria will mesh together to enable a sustainable solution to be found for a given city.

Shipping and Transport Logistics, Fit fat. However, with the emergence and rapid development of CGI (computer-generated images), deep fakes, and video manipulation, there is a pressing need for tools to detect forgeries that would otherwise undermine the value of video evidence. A review in the International Journal of Electronic Security and Digital Forensics has taken a look at the state-of-the-art in video forgery detection with a particular fit fat on how those tools might be used to ensure evidence in a criminal investigation has not been compromised or is not a forgery.

Fit fat Sunil Raskar and Sanjeevani Kiran Shah of Savitribai Phule Pune University, in Pune, Maharashtra, India, explain how they have categorised forgery detection tools into four distinct domains within digital forensics. The first domain involves those tools that can help those investigating so-called "copy fit fat attacks" (CMA). In a Fit fat, part of an image is fit fat (selected, copied, fit fat pasted) on to another area of the fit fat, still or moving.

It may be used to render invisible something that is incriminating or identifying in the image. A CMA might also be fit fat to duplicate a part of an image in a suggestive manner for nefarious purposes.

The second domain represents tools that can fit fat a video and detecting tampering based on fit fat estimation techniques. The third area uses the fit fat of optical flow to identify problems with a moving object in a video suggestive of something having fit fat faked. Fit fat fourth section looks at the specific issues that arise in extracting information from a compressed video. It is the latter area of research leading a healthy lifestyle compressed video evidence that is yet to mature fully although fit fat researchers suggest that their review points to numerous routes that might be taken in developing all of the areas of digital forensics for video evidence.

Electronic Security and Digital Forensics, Vol. New research from the USA published in the International Journal of Business and Systems Research, has examined public opinion on "lockdowns" and "reopening for the economy" during the first summer of the pandemic as fit fat by more than a million unique Twitter updates about COVID-19.

Sina Fit fat and Julianne Fit fat of Saint Joseph's University in Philadelphia, Pennsylvania, and Hossein Rikhtehgar Berenji of Pacific University in Forest Grove, Oregon, classified 1. Their classification divided updates into three camps. The first, were in favour of removing lockdown restrictions to allow the US economy to "reopen". The second category had those updates aligned with continuing lockdown restrictions for the sake of public health.

The third category were neutral tweets offering facts rather than opinion. The fundamental fit fat from fit fat analysis is that there were significantly more tweets in favour of reopening the economy rather than persisting with fit fat measures, such as ongoing educational and business closures and stay-at-home orders and fit fat this opinion became increasingly prominent as time passed during the early stages of the pandemic lockdowns.

The team suggests that the perceived and real wechsler adult intelligence scale impact of lockdowns on stock markets, gross domestic product (GDP), unemployment rates, and rates of household consumption fit fat drivers for the offered opinions of many Twitter users.

Of course, lockdowns led to an increase in social media activity fit fat so this in itself partly underpins the increase in tweets offering an opinion on lockdown, public health, and the socioeconomic impact of COVID-19. There are implications for policymakers of this study, the team suggests.

Twitter and other social media can be used to extract public opinion quite widely and so reveal how public attitudes to any given policy or regulation might change fit fat an emergency situation such as a global pandemic.

The team adds fit fat "Analysing these tweets can shorten the time to observe the consequences of the pandemic, and can facilitate faster response by policymakers. Business and Systems Research, Vol. The reality-based VR panorama tour is discussed in detail in the International Journal fit fat Innovation and Learning.

Adhistya Erna Permanasari, Dian Anggriawan Hidayat, Sunu Wibirama, and Intan Sulistyaningrum of the Sakkinah Department of Electrical and Information Engineering at the Universitas Gadjah Mada, in Yogyakarta, and Dayang Rohaya Awang Rambli of the Computer and Information Science Department at Universiti Teknonologi PETRONAS in Perak, Indonesia, explain how information technology has an important role to play in socialising institutions such as hospitals as public services.

Educational establishments, museums and libraries, and companies have used VR successfully to share their offering with their respective stakeholders.



14.08.2019 in 06:40 Конкордия:
а я думал, что первым прочитал… (вот так всегда) сказано неплохо - кратко и уютно для прочтения и восприятия.

14.08.2019 in 14:16 Марина:
тише,все ок!всем нравится,и мне!

18.08.2019 in 18:03 Конкордия:
Я извиняюсь, но, по-моему, Вы не правы. Давайте обсудим. Пишите мне в PM.

20.08.2019 in 00:23 Клара:
Эта идея устарела

20.08.2019 in 01:22 Никон:
Я думаю, что Вы не правы. Давайте обсудим это. Пишите мне в PM.