Survival and growth patterns among new technology-based firms: Empirical study of cohort 2006 in Sweden

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this recordThis study investigates the survival and growth trends in a cohort of new technology‐based firms (NTBFs) established in Sweden in 2006. This cohort has faced both an economic upswing and a severe downturn, which started in 2008, and by 2014 provides 8 years of historical records. Our study makes several contributions to the current understanding of NTBF survival and growth. First, our empirical observations show that many NTBFs (72 percent) from the 2006 cohort were still operating at the end of 2014, indicating a much higher survival rate than those found in previous studies. Second, surviving firms from the 2006 cohort positively affected employment, as their annual job creation was higher than the reduction in employment caused by exiting firms. Third, very few companies experienced high‐growth during their first 7 years, and employment growth and sales growth were highly correlated among high‐growth firms

Learning skills : robotics technology in automotive powertrain assembly

The past 40 years have seen industrial robots establish their superiority over humans in most areas of manufacturing requiring endurance or repeatability. One important application domain, however, has so far lagged behind the industry’s expectations: mechanical assembly. As fast, precise and dependable as they are, traditional industrial robots just don’t seem able to perform certain assembly operations as well as a skilled human worker. A task as simple as screwing a light bulb into a lamp socket shows why. Applying the right amount of force and turning the bulb at just the right time, at exactly the right angle, is something a human does intuitively. How can a robot be programmed to do this? For robots to successfully emulate humans on an assembly line, they need to have force-sensing capability and exhibit compliance. They must be able to direct forces and moments in a controlled way, and react to contact information. New robot force control technology from ABB shows how

Prenatal murine skeletogenesis partially recovers from absent skeletal muscle as development progresses

Skeletal muscle contractions are critical for normal skeletal growth and morphogenesis but it is unclear how the detrimental effects of absent muscle on the bones and joints change over time. Joint shape and cavitation as well as rudiment length and mineralisation were assessed in multiple rudiments at two developmental stages [Theiler stage (TS)24 and TS27] in the splotch-delayed “muscle-less limb” mouse model and littermate controls. Chondrocyte morphology was quantified in 3D in the distal humerus at the same stages. As development progressed, the effects of absent muscle on all parameters except for cavitation become less severe. All major joints in muscle-less limbs were abnormally shaped at TS24, while, by TS27, most muscle-less limb joint shapes were normal or nearly normal. In contrast, any joints that were fused at TS24 did not cavitate by TS27. At TS24, chondrocytes in the distal humerus were significantly smaller in the muscle-less limbs than in controls, while by TS27, chondrocyte volume was similar between the two groups, offering a cell-level mechanism for the partial recovery in shape of muscle-less limbs. Mineralisation showed the most pronounced changes over gestation. At TS24, all muscle-less rudiments studied had less mineralisation than the controls, while at TS27, muscle-less limb rudiments had mineralisation extents equivalent to controls. In conclusion, the effects of muscle absence on prenatal murine skeletogenesis reduced in severity over gestation. Understanding how mammalian bones and joints continue to develop in an environment with abnormal fetal movements provides insights into conditions including hip dysplasia and arthrogryposis

State of AI-based monitoring in smart manufacturing and introduction to focused section

Over the past few decades, intelligentization, supported by artificial intelligence (AI) technologies, has become an important trend for industrial manufacturing, accelerating the development of smart manufacturing. In modern industries, standard AI has been endowed with additional attributes, yielding the so-called industrial artificial intelligence (IAI) that has become the technical core of smart manufacturing. AI-powered manufacturing brings remarkable improvements in many aspects of closed-loop production chains from manufacturing processes to end product logistics. In particular, IAI incorporating domain knowledge has benefited the area of production monitoring considerably. Advanced AI methods such as deep neural networks, adversarial training, and transfer learning have been widely used to support both diagnostics and predictive maintenance of the entire production process. It is generally believed that IAI is the critical technologies needed to drive the future evolution of industrial manufacturing. This article offers a comprehensive overview of AI-powered manufacturing and its applications in monitoring. More specifically, it summarizes the key technologies of IAI and discusses their typical application scenarios with respect to three major aspects of production monitoring: fault diagnosis, remaining useful life prediction, and quality inspection. In addition, the existing problems and future research directions of IAI are also discussed. This article further introduces the papers in this focused section on AI-based monitoring in smart manufacturing by weaving them into the overview, highlighting how they contribute to and extend the body of literature in this area

Minor variations in multicellular life cycles have major effects on adaptation

Multicellularity has evolved several independent times over the past hundreds of millions of years and given rise to a wide diversity of complex life. Recent studies have found that large differences in the fundamental structure of early multicellular life cycles can affect fitness and influence multicellular adaptation. Yet, there is an underlying assumption that at some scale or categorization multicellular life cycles are similar in terms of their adaptive potential. Here, we consider this possibility by exploring adaptation in a class of simple multicellular life cycles of filamentous organisms that only differ in one respect, how many daughter filaments are produced. We use mathematical models and evolutionary simulations to show that despite the similarities, qualitatively different mutations fix. In particular, we find that mutations with a tradeoff between cell growth and group survival, i.e. "selfish" or "altruistic" traits, spread differently. Specifically, altruistic mutations more readily spread in life cycles that produce few daughters while in life cycles producing many daughters either type of mutation can spread depending on the environment. Our results show that subtle changes in multicellular life cycles can fundamentally alter adaptation

Effect of rye bread breakfasts on subjective hunger and satiety: a randomized controlled trial

<p>Abstract</p> <p>Background</p> <p>Several studies report that dietary fibre from different sources promotes the feeling of satiety and suppresses hunger. However, results for cereal fibre from rye are essentially lacking. The aim of the present study was to investigate subjective appetite during 8 h after intake of iso-caloric rye bread breakfasts varying in rye dietary fibre composition and content.</p> <p>Methods</p> <p>The study was divided into two parts. The first part (n = 16) compared the satiating effect of iso-caloric bread breakfasts including different milling fractions of rye (bran, intermediate fraction (B4) and sifted flour). The second part (n = 16) investigated the dose-response effect of rye bran and intermediate rye fraction, each providing 5 or 8 g of dietary fibre per iso-caloric bread breakfast. Both study parts used a wheat bread breakfast as reference and a randomised, within-subject comparison design. Appetite (hunger, satiety and desire to eat) was rated regularly from just before breakfast at 08:00 until 16:00. Amount, type and timing of food and drink intake were standardised during the study period.</p> <p>Results</p> <p>The Milling fractions study showed that each of the rye breakfasts resulted in a suppressed appetite during the time period before lunch (08:3012:00) compared with the wheat reference bread breakfast. At a comparison between the rye bread breakfasts the one with rye bran induced the strongest effect on satiety. In the afternoon the effect from all three rye bread breakfasts could still be seen as a decreased hunger and desire to eat compared to the wheat reference bread breakfast.</p> <p>In the Dose-response study both levels of rye bran and the lower level of intermediate rye fraction resulted in an increased satiety before lunch compared with the wheat reference bread breakfast. Neither the variation in composition between the milling fractions nor the different doses resulted in significant differences in any of the appetite ratings when compared with one another.</p> <p>Conclusion</p> <p>The results show that rye bread can be used to decrease hunger feelings both before and after lunch when included in a breakfast meal. Rye bran induces a stronger effect on satiety than the other two rye fractions used when served in iso-caloric portions.</p> <p>Trial Registration</p> <p>Trial registration number NCT00876785</p

A touching movement : force control turns machining robots into universal tools

ABB has written a new chapter in the book of robot applications. While in the past it had been a tedious and time-consuming effort to program a robot for delicate fine-tuning operations, robots can now learn how to best manage such tasks themselves. This innovative approach can reduce overall programming times by up to 80 percent for robots used to grind castings, vastly improving productivity levels. With ABB&rsquo;s new Flex Finishing system featuring RobotWare Machining FC (force control), one of the last real barriers to productivity improvement in this sector has been lifted

Sustainable wastewater management in Indonesia's fish processing industry: Bringing governance into scenario analysis

The government of Indonesia has pledged to meet ambitious greenhouse gas mitigation goals in its Nationally Determined Contribution as well as reduce water pollution through its water management policies. A set of technologies could conceivably help achieving these goals simultaneously. However, the installation and widespread application of these technologies will require knowledge on how governance affects the implementation of existing policies as well as cooperation across sectors, administrative levels, and stakeholders. This paper integrates key governance variables--involving enforcement capacity, institutional coordination and multi-actor networks--into an analysis of the potential impacts on greenhouse gases and chemical oxygen demand in seven wastewater treatment scenarios for the fish processing industry in Indonesia. The analysis demonstrates that there is an increase of 24% in both CH4 and CO2 emissions between 2015 and 2030 in the business-as-usual scenario due to growth in production volumes. Interestingly, in scenarios focusing only on strengthening capacities to enforce national water policies, expected total greenhouse gas emissions are about five times higher than in the business-as-usual in 2030; this is due to growth in CH4 emissions during the handling and landfilling of sludge, as well as in CO2 generated from the electricity required for wastewater treatment. In the scenarios where there is significant cooperation across sectors, administrative levels, and stakeholders to integrate climate and water goals, both estimated chemical oxygen demand and CH4 emissions are considerably lower than in the business-as-usual and the national water policy scenarios