Dragon09/odtu_chatbot huggingface dataset:
managing people how employees social preferences shape the returns to management practices

many management practices incur important consequences for the distribution of resources as well as for workers monetary and nonmonetary benefits it is therefore likely that employees social preferences like reciprocity fairness concerns matter for the effectiveness of management practices and play a major role in the productivity of firms i analyze the causal effects of management practices and study to what extent employees social preferences shape the returns of the considered management practices in rcts i randomize management practices within firms to identify their effects on multiple outcomes eg sales and turnover i then collect survey data on employees social preferences and managers beliefs to study how social preferences shape the returns of the management practices project a in a bakery chain with a controloriented culture i reduce for a randomly selected half of the 150 stores documentation duties that workers perceive as a sign of distrust i examine the causal impact of employee control on performance and study whether the effects interact with workers reciprocity project b in a random sample of 234 grocery stores bonuses are allocated equally among workers in the remaining stores managers have full discretion regarding the bonus allocation i study whether managers discretion causally affects performance and examine to what extent the effect is associated with employees fairness perceptions and managers beliefs about workers distributional preferences project c in a kitchen manufacturer 301 workers employed in various units whose task it is to identify kitchen planning errors do not interact and share knowledge i introduce a new component into the organizational structure regular meetings in which randomly selected workers from different units discuss planning errors i study the causal impact of the meetings on performance and trust between workers and examine whether the effects depend on workers reciprocity
biologicallyinspired autonomous systems for space exploration

nowadays uncrewed spacecraft missions not only push the boundaries of our scientific understanding of the universe but are an indispensable tool for monitoring and increasing our understanding of earth however deploying and operating spacecraft comes with many challenges usually not encountered in groundbased systems two major challenges are the construction repair and modification of structures in space eg telescopes like jwst and their operation under harsh constraints like limited power and transmission bandwidths restricting especially the computing power available onboard spacecraftbase biologicallyinspired autonomous systems for space exploration envisions a future of independent and autonomous spacecraft that can adapt to unexpected situations and reconfigure their structure accordingly without human guidance to achieve this bold goal this action will lay the conceptual foundation for such innovative technologies by developing novel concepts combining techniques from ai neuromorphic computing and mathematics more specifically i will i for the first time thoroughly analyze the potential benefits ie energy demands performance of spiking neural networks to enable onboard ai and ii develop methods for the autonomous selfassembly and selfmodification of space structures from individual components focussing on scenarios that are compatible with currently envisioned designsthe ambitious applications considered in base will drive highly innovative progress in the considered disciplines eg by deriving the first mathematical theory for characterising computational properties of spiking neural networks by tightly binding theory and algorithms to concrete applications the transferability of the outcome of this action to impactful technologies is guaranteed finally the objectives of base are complementary providing both the computing platform and methodology for spacecraft autonomy yielding a highly unique research program
stochastic rewind and fastforward calibrating lisa with ligos black holes and stochastic background

the direct detection of gravitational waves from binary stellarmass black hole systems in our universe provides a wealth of astrophysical information which is now within our reach these binaries merge in the ligo and virgo detector frequency sensitivity bands and were once sweeping through the lisa band emitting at much lower frequencies in ligo the binary mergers appear both as single resolved events and as a multitude of incoherent signals known as the stochastic gravitationalwave background in lisa a similar picture will be seen where a few binaries are directly resolved while the vast majority build up a stochastic signal with stochrewind we will draw out all binary black hole information measured by ligo and virgo to calibrate the lisa mission providing a crucial ingredient for lisa data analysis methods first we focus on the stochastic background in ligo and deliver a brand new pipeline which maximises our chances for detection then we analyse the implications of the ligo black hole detections and stochastic background for lisa delivering the first databased prediction of the lisa binary black hole stochastic background fully exploiting our multiband gravitationalwave knowledgeit is essential that stochrewind be hosted by an institute which can supplement the fellows firsthand experience in stochastic ligo data analysis with knowledge on black hole population analysis and lisa astrophysics unimib is a unique institution which counts top experts in both these fields providing an environment which bridges the gap between lisa and ligo these revolutionary science objectives will be paired with advanced training objectives tailored to the fellows personal career development plan rooted in what unimib and the collaborations have to offer stochrewind will have farreaching impacts on the community which will reap the benefits for decades to come
coping with varieties of radicalization into terrorism and extremism

vortex coping with varieties of radicalisation into terrorism and extremism represents an innovative and integrative doctoral network of practitioners and academics for training of doctoral candidates in radicalization studies the understanding of radicalization is currently trapped between securitisational approaches and sociocultural contextual explanations influencing political agencies practitioners and scholars alike one approach focuses on immediate and shortterm security needs of european societies another approach stresses longterm structural factors such as socioeconomic marginalization as a breeding ground for extremism radicalization and extremist world views and cognitive mindsets this dn aims not only to identify a theoretical a methodological gap between the two approaches but also to develop new evidencebased innovative strategies to countering and preventing ideological and behavioural radicalization vortex will provide an integrated and thus meaningful research programme not only but primarily for doctoral candidates to pursue their research in a fruitful and meaningful dialogue among relevant disciplines and in a dense web of supervision training and interaction to jump start both successful and relevant careers bringing together a network of academic and nonacademic participating organizations from 14 countries on three continents dealing with both religious and secular radicalisation this dn will explore and compare different varieties of radicalization in several empirical settings practicebased research with associated partners connecting doctoral candidates to future job markets and audiences will offer the opportunity to investigate radicalisations on several levels ranging from local to global and from cognitive to behavioural we propose an advanced learning program combining theoretical and instrumental knowledge at transnational and interdisciplinary levels
politicians under radical uncertainty how uncertain phenomena influence political elites behavior

political elitespolitical representatives who can take binding decisions eg ministers parliamentarians local politiciansface numerous radically uncertain phenomena from covid19 to the longterm effects of brexit radical uncertainty is characterized by manifold unknowns ambiguity and vagueness and it differs fundamentally from resolvable uncertainty those situations in which it is possible to assign probabilities to outcomes like the electoral consequences of welfare retrenchment radiunce will explore how these phenomena influence political elites behavior do they avoid uncertainty as some did with the coronavirus
lithium niobate empowered silicon nitride platform for fragmentation free operation in the visible and the nir

despite the huge progress by photonics extended spectral bands at wavelengths below 1100 nm remain heavily underserved in terms of integration solutions at the same time the silicon nitride is booming and the lithium niobate is making an impressive comeback in the form of lithium niobate on insulator lnoi with both materials being transparent both in the visible and the nir with all these viewed as a unique opportunity lolipop steps in to develop a disruptive platform that will offer the highest integration modulation and second order nonlinear performance in the entire spectrum from 400 up to 1600 nm based on the combination of the lnoi and the siliconnitride triplex technology to this end lolipop will develop diebonding and microtransferprinting methods for lowloss 05 db integration of lnoi films on triplex without compromise in the functionality of the two platforms it will also develop a process for growth of ge photodiodes pds inside pockets and a process for flipchip bonding of active elements inside recesses on triplex given the possibility of the gepds to operate in the entire 4001600 nm spectrum and the flexibility of the bonding process to adapt to different actives and wavelengths the picture of this ultrawideband technology is complete lolipop will demonstrate its potential via the development of 1 the first ever integrated laser doppler vibrometer at 532 nm with ultranarrow linewidth 5 khz and ultrahigh modulation 6 ghz 2 the first ever integrated fmcwlidar at 905 nm with ultrahigh linear chirp 10 ghz and optical phased arraybased 2d beam scanning 3 photonic convolutional neural networks with record scale computation speed 24 tops and power consumption reduction compared to electronic solutions and 4 the first ever integrated squeezedstate source with 6 db squeezing level for quantum applications at 1550 nm a roadmap for the offering of lolipop technology as commercial service will be prepared
proof of principle fly larvae biorefinery for biopolymer plastic production

management of food waste fw and petroleum plastics pollution are two significant global challenges developing biopolymers and addedvalue bioplastic products from lowgrade fw is thus a key enabler to tackle both issues despite extensive rd efforts to valorise waste streams including fw to bioplastics the widespread market penetration of bioplastics is hindered due to their high production cost biolamer aims to demonstrate a novel proof of principle fly larvae biorefinery by establishing food eating black soldier fly larvae hermetia illucens as a high impact feedstock for costeffective production of two biopolymers polyhydroxyalkanoates pha and chitosan the advantages of the larvae route are that it i is renewable and inexpensive ii provides less complexity as the larvae has invariable chemical composition iii can be used to mitigate the fw problem iv can reduce raw material inputs thus minimizing energy utilization v doesnt disturb the biodiversity and vi can avoidreduce pretreatment costs associated with the wastestreams to produce the platform chemicals for biopolymer production the innovative biolamer biorefinery will improve the bioreactor process efficiency and cut down the pha production cost significantly compared to existing technologies biolamer will combine its conceptual innovations complementary interdisciplinary expertise and bioreactor process expertise to develop costeffective pha and chitosan production technologies supported by life cycle thinkinganalysis and hybrid models developed using machine learning platform further the significant environmental economic and societal impacts that supports the eu circular economy green deal food waste and plastic strategiesinitiatives of biolamer will be demonstrated through the involvement of ssh communication and circularity demonstration partners
flexible hybrid electrical systems for sustainable process intensification ondemand and where required

recognizing the significance of energy efficiency in industry and carbon emissions reduction flexhyon is proposing a clever combination of alternative fully electrified heating systems microwave heat pumps ultrasound to tackle three specific industrial processes ultrafast drying of compact material drying of granular materials and distillationextraction of ground material to address their urgent need to transition from fossil energy to renewable and lowcarbon energy sourcesthree optimized prototypes will be built and demonstrated in 3 industrial environments ceramics feed production biomass the quality and economic impact of the developments will be evaluated using lca and lcc environmental and technical performances health protection safety will be demonstrated and validated sound market strategies will be developed giving clear indications on scalability transferability and replicability across different industrial sectors commercialization and deployment will be achieved through development and validation of set of business models for the 3 business casesthe flexhyon solutions will exhibit significantly higher energy efficiency in comparison to traditional fossil fuelbased heating technologies therefore leading to a reduction in ghg emissions maximizing primary energy savings and enabling higher production flexibility eg production ondemand production onsite their scalability upscaling downscaling will allow to better follow market demand and enable leaner production paradigmsto achieve the project goals flexhyon combines 9 partners covering the whole technical value chain required for the development and validation of alternative fully electrified heating systems the consortium will also implement different dissemination and communication activities to raise awareness about the benefits of alternative heating systems in industry and exploitation opportunities from knowhow generated and exploitable results developed
development and characterisation of ultrafine hierarchically structured eutectic tifebased alloys using additive manufacturing and advanced tomographic techniques

utife aims at further developing ultrafine eutectic tifebased alloys to increase their maturity using selective laser melting slm additive manufacturing the project will characterize the alloys by using advanced tomographic techniques to determine their compositionprocessingmicrostructureproperty relationships increasing the understanding of the eutectic tife alloy system and the effects of processing parameters during slm on eutectic alloys as a whole the objectives of the project are to i explore material slm processing parameters to obtain crackfree samples with a high material density ii study and understand the mechanisms of crack formation porosity generation andor healing during the printing process and iii provide a multiscale nano to micro 3d characterization of the material microstructure these objectives will be met using the stateoftheart laser powder bed fusion lpbf to process the eutectic alloys and determine the effects of processing parameters on the asprinted material the material will also be printed using a stateoftheart insitu synchrotron xray computed tomography sxct slm replicator to characterize the effects of printing parameters on defect generation and microstructural evolution during printing a full characterization using traditional and advanced characterization techniques in 2d semebsd tem xrd and 3d 3d fibsemebsd tem xct sxct will provide critical information about the compositionprocessingmicrostructure relationships in the eutectic tife alloys this project will introduce new hierarchicallystructured eutectic tifebased alloys of high interest for industry and contribute to significant scientific insights between additive manufacturing processing parameters eutectic microstructures and material properties in the tife alloy system the insight from this project can help explore other eutectic alloy systems for the development of novel additive manufacturing materials
microglianeuron communication in health and disease

microglia are the resident immune cells of the brain display extensive heterogeneity and contribute to a wide range of cellular processes in both homeostasis and disease they play a major role in the pathogenesis of alzheimers disease ad the leading cause of dementia and a major cause of mortality worldwide microglia closely interact with neurons and modulate their function with high regional specificity making them potential culprits behind the neuronal damage in ad however exactly how microglia and neurons interact and communicate and how these interactions change in disease is not known i hypothesize that an early hallmark of ad is the changing interactions between microglia and neighboring cells such as neurons which contributes to progress of the disease and ultimately results in synaptic and neuronal loss i will test this in human microglia by using a unique human xenotransplantation model whereby i transplant human pluripotent stem cellderived microglial progenitors into the cortex of healthy and ad mice using rabidseq combined with 10x genomics to barcode microglia and subsequently trace their interactions with singlecell resolution i will precisely map the interactions of distinct subsets of microglia and neurons to determine homeostatic molecular networks and how celltocell communication is altered in the early stages of ad ultimately this will allow me to identify specific molecules and molecular pathways which can be manipulated to support a beneficial function in microglia while blocking detrimental effects to protect neurons and prevent slow or ameliorate the disease given that microglia are involved in normal brain development and multiple neurodegenerative diseases finally dissecting how they interact with other cells of the cns will be a valuable resource to the greater neuroscience community with implications for development ageing and disease
investing in the mental wellbeing and resilience of longterm care workers and informal carers through the identification evaluation and promotion of good practices across europe

the well care project aims to strengthen supports available to longterm care ltc workers and informal carers for improving their resilience and mental wellbeing through care partnershipsthe well care project has four specific objectives for these target groups1to review organise and make available evidence and data with a focus on gender inclusion occupation and nonoccupation specific factors on how to best support resilience and mental wellbeing we will identify and analyse 40 good practices and perform 10 indepth case studies2to identify evaluate and promote the adoption of innovative solutions and prototypes we will develop 58 general solution prototypes which will be implemented and tested with interested stakeholders eg ltc providers and employers in five european union countries germany italy netherlands slovenia sweden we will provide resources guidance and a helpdesk to sustain implementation and the creation of favourable local regional and national ecosystems3to develop and foster evidencebased and actionoriented recommendations for policy makers and stakeholders we will analyse the policy legislative service and financing frameworks also elaborating recommendations on the basis of data and evidence generated by the project4to develop implement and sustain a continuous process of research and codesign activities with endusers and stakeholders at national level we will set up and implement blended learning networks establishing a participatory research design and addressing real needs and perspectives from the target groupsthe well care project will positively impact ltc workers and informal carers mental health and productivity microlevel as well as providing ltc providers with new solutions and tools for effective efficient and sustainable support and retainment of the care workforce mesolevel and new data and recommendations for policy makers and stakeholders macrolevel
twinning iztech in robotics manufacturing systems

when prototyping or producing a machine or its parts several methods of manufacturing are used such as machining additive manufacturing laser cutting or welding these manufactured parts are investigated for their manufacturing tolerances upon production via quality control systems such as a coordinate measurement machine however at the current state of the art one production machine can only perform its one designated process additionally these machines are generally large and bulky computer numerical control systems as a result these manufacturing machines are heavy and nonportable products with high investment costs for these reasons small investors or startups cannot invest in these machines or very few of them can invest in only one type of manufacturing machine the aim of this project is to develop a lightweight portable and lowcost manufacturing cell that can perform precise manufacturing and quality control this challenge can only be solved by the collaborative work of interdisciplinary partners inspired by this action izmir institute of technology iztech has been firmly committed to developing and promoting enabling technologies for robotic and manufacturing systems however iztech could not fully exploit its technological and innovation potential in this field due to limited resources in research and project management there is a clear need for concrete partnership between iztech and internationally leading counterparts to bring this potential into play and thus to spread scientific excellence in robotics and manufacturing systems over the european research area and industry in this way trkiyes excellence capacity and resources can be improved and the research and innovation gap between trkiye and the european union can be closed in this specific area as a consequence of this project iztechs reputation and capacity to carry out advanced research are expected to grow due to this collaboration