Background: Neurocritical care requires rapid and accurate monitoring to prevent secondary brain injuries in patients with neurological diseases. Automatic pupillometry is a tool for assessing pupillary response (Neurological Pupil index). The role of nurses is central in monitoring and caring for the patient's neurological status to minimize secondary brain injuries and suffering.  Currently, it is unclear if ambient light can influence the Neurological Pupil index. Objective: The aim was to evaluate if the Neurological Pupil index is affected of ambient light during automatic pupillometry in unconscious or sedated intensive care patients. Method: A crossover design where pupillometry measurements were performed in bright and dark rooms at six time points on 20 intensive care patients. The results were analyzed using the Wilcoxon signed-rank test and presented with descriptive statistics. Results: Significant differences in the Neurological Pupil index were observed between dark and bright conditions. The majority of participants showed higher NPi in dark environments compared to light. There was individual variation in NPi measurements, with some participants showing larger differences than others. Conclusion: NPi is higher in dark environments compared to bright ones, and there are also individual differences. The results can guide clinical practice to improve the critical care nurse's assessment of neurological status in patients. Consistent lighting conditions during neurologic assessments of patients may potentially enhance the assessment of pupillary reactions and potentially enhanced nursing care for the patient.

Technische Raffinesse, ein hohes Maß an Funktionalität und eine sehr gute Gebrauchstauglichkeit werden vom Nutzer zunehmend als gegeben vorausgesetzt. Stattdessen rückt das positive Erleben von Technologie, also eine positive User Experience (UX) stärker in den Fokus. Dabei geht es nicht mehr um das Produkt im eigentlichen Sinne, sondern um die Erlebnisse und Gefühle, die der Nutzer bei der Produktnutzung erfährt (Hassenzahl & Tractinsky 2006). Besondere Bedeutung hat dabei die Interaktion zwischen Nutzer und Produkt und wie diese durch den Menschen wahrgenommen und verarbeitet wird (Saucken 2017). Mit dem Ziel eine angenehme Nutzer-Produkt-Interaktion (NPI) zu schaffen, treten vor allem die verschiedenen Produkteigenschaften und -merkmale in den Fokus. Je nachdem, wie diese ausgeprägt sind, kann das Erlebnis negativ gestört oder positiv beeinflusst werden (Beispiel siehe Abbildung 1). Kopfhörer können sich aufgrund der gewählten Form sowie des verwendeten Materials bspw. weich und bequem anfühlen. Eine weniger ergonomische Gestalt oder der Einsatz rauer Materialien wirken sich hingegen negativ aus, sprich das Tragen der Kopfhörer fühlt sich unangenehm und kratzend an. Entscheidend für ein gutes Nutzungserlebnis wäre in diesem Beispiel insbesondere die Eigenschaft Tragekomfort. Aufgrund der Fülle an Produkteigenschaften ist es nicht immer einfach, diese auf die für die NPI Wesentlichen zu reduzieren. Der vorliegende Beitrag nimmt sich dieser Problematik an und stellt ein Konzept zur Identifikation der für die NPI relevanten Eigenschaften vor. So wird der Produktentwickler für mögliche Störquellen der NPI sensibilisiert und kann diesen entgegenwirken – was letztlich die Grundlage für eine positive UX schafft.

Dagens företagsklimat skapar ökad press på företag att minska sin tid till marknad för nya produkter, samtidigt som konstnader ska minskas och en hög produktkvalitet skall hållas. Ett resultat av detta är att tillverkningsföretag måste utveckla och producera produkter fortare, till en lägre kostnad, med ökande kvalité för att upprätthålla sin konkurrenskraft. Inom marknaden för informations- och kommunikationsteknik sker det snabba förändringar, detta göra att produktutvecklingen är allt mer viktig. Hanteringen av produktdata är en viktig aspekt av produktutvecklingen, men också en av de mest  utmanande.  Målet  med  denna  forskningsuppsats  är  att  undersöka  vilka  processer  inom industrialisering som används för att samla och hantera produktdata. Produktdata och hanteringen av den är en viktig del av industrialiseringsprocessen samt produktutvecklingsprocessen. PIM   (Product   Introduction   and   Maintenance)   RBS   (Radio   Base   Station)   Kista   är   en industrialiseringssite och har valts för denna fallstudie – då de representerar en ledande del av produktutvecklingen för utsedda produkter inom Ericsson som är ett världsledande företag inom informations-och kommunikationstekniks industrin. Denna forskning har utförst i linje med det valda fokusområdet att undersöka, beskriva och analysera de viktigaste metoderna som används inom PIM RBS Kista för att samla in, lagra och använda produktdata under produktutvecklingen i industrialiseringsprocessen.   Syftet   med   forskningen   är   att   bidra   till   forskningsområdet produktdatahantering. Fokus har legat inom Operations, där nya produkter realiseras under olika aktiviteter och från vilken produktdata är det viktigaste resultatet. De  arbetsmetoder  som  har  identifieras  under  fallstudien  diskuteras  och  skapar  insikt  hur produktdatahantering  används  under  förverkligandet  av  nya  produkter  –  med  koppling  till produktionsverkstadsgolvet. Denna forskingsuppsats diskuterar även de huvudsakliga implikationera relaterat till produktdatahantering inom organisationen som är vald för denna fallstudie. Detta för att bidra med förbättringsförslag gällande nuvarande produktdatahanteringsmetod och system, samt verktyg, som finns implementerade idag. / In today’s market there is an increasing pressure on companies to reduce their time-to-market and lower their cost whilst maintaining a high quality on their products. As a result, manufacturing firms have to develop and produce products faster, at lower costs, and with increased quality in order to maintain their competiveness. The information and communications technology (ICT) market is a fast  changing  market,  which  makes  the  development  process  all  the  more  important.  The management of product data is an important aspect of the product development process, but also one of the most challenging. Product data and product data management (PDM) are important aspects of the new product introduction (NPI) process and in turn the product development process. This research is based on a case study research conducted at PIM (Product Introduction and Maintenance) RBS (Radio Base Station) Kista. PIM RBS Kista is a lead-site responsible for NPI and product development for certain appointed products within Ericsson, a world leading multinational corporation in the ICT industry. In alignment with the research focus the main processes used within PIM RBS Kista to gather, store, and use product data during product development in the NPI process has been described and analysed – in order to contribute to the PDM research field. The focus has been within the Operations department, in which new products are realised during different activities and from which product data is the main output. The processes identified and analysed provides insight how PDM is used during product realisation and its connection to the production shop floor. The thesis also discusses the main complications within the case organisation and suggests improvements regarding the current PDM processes and systems/tools used.

Luminescent materials find numerous applications in recent times and have enriched human lives in several different ways. From display and lighting technologies to security, sensing and biological investigations, luminescent organic compounds have become indispensible and often preferred over their inorganic counterparts. The versatility of organic materials arises from their comparative low costs, ease of fine-tuning, low toxicity and the possibility to develop flexible devices. Even until very recent times, the investigations and usage of organic luminescent materials were mostly limited to solution-state properties. However, with progress of available characterisation techniques and parallel development of their usage in solid-state devices and other applications (e.g. security, forensics, sensing etc.), significantly greater attention has been paid to the development and investigations of solid-state emissive organic materials. In solid-state applications, apart from the molecular properties of any given material, their cumulative i.e. bulk physical properties are of even greater importance. Thus, investigations of structure-property relationships in organic luminescent compounds to understand their molecular and bulk properties are of fundamental interest. In this thesis, NPI (1,8-naphthalimide) and BODIPY (boron-dipyrromethene) dyes were investigated to provide a broad overview of their structure-property correlations. Among commonly encountered organic luminescent materials, NPIs and BODIPYs have emerged as two broad classes of luminescent organic compounds, finding applications as functional luminescent materials in various fields. However, lack of understanding for controlling the cumulative emissive properties of these compounds has limited their usage as active solid-state emitters in various applications. This thesis presents several new insights into the molecular and bulk emissive properties of these two classes of luminescent dyes (NPIs and BODIPYs). The contents of the six chapters contained in this thesis are summarised below. Chapter 1 summarises the available understanding of the basic concepts of photoluminescence and the design strategies to develop solid-state luminescent and AIE (aggregation-induced emission) active materials. This chapter also emphasises in the basic nature of the NPI and BODIPY compounds, their substitution patterns and their inherent characteristics and touches upon the relatively unexplored properties of NPI and BODIPY based materials. The importance and scope of the work reported in the thesis is outlined at the end of the chapter. Chapter 2 describes a detailed investigation of a series of seven (4-oxoaryl substituted) NPI compounds (1-7) providing an insight into the molecular and cumulative photophysical behaviour of these compounds. The low ICT characteristics of the NPIs, coupled with the twisted geometry, facilitated solid-state luminescence in these materials. The solution and solid-state luminescent properties of these compounds can be directly correlated to their structural rigidity, nature of substituents and solid-state intermolecular interactions (e.g. π-π stacking, C-H•••O interactions etc.). The solid-state crystal structures of the NPI siblings are profoundly affected by the pendant substituents. All of the NPIs (1-7) show antiparallel dimeric π-π stacking interactions in the solid-state which can further extend in parallel, alternate, orthogonal or lateral fashion depending on the steric and electronic nature of the C-4′ substituents. Structural investigations including Hirsfeld surface analysis methods reveal that while strongly interacting systems show weak to moderate emission in their condensed states, weakly interacting systems show strong emission yields under the same conditions. The nature of packing and extended structures also affects the emission colors of the NPIs in the solid-state. DFT computational studies were utilized to understand the molecular and cumulative electronic behavior of the NPIs. Apart from the investigation of solid-state luminescence, other functional potentials of these NPIs were also explored. One of the compounds (i.e. 4) shows chemodosimetric response towards aqueous Hg(II) species with a ‘turn-on’ response. Also, depending on the molecular flexibility of the compounds, promising AIEE (aggregation-induced emission enhancement) features were observed in these NPIs. Later (in Chapter 3), we developed a systematic investigation in a series of purely organic NPIs, restricting various parameters, to attain a thorough understanding of such AIEE properties. Chapter 3 describes a detailed experimental and computational study in order gain an insight into the AIE (aggregation-induced emission) and AIEE mechanisms in NPI compounds. Systematic structural perturbation was used to fine tune the luminescence properties of three new 1,8-naphthalimides (8-10) in solution and as aggregates. The NPIs (8-10) show blue emission in solution state and the fluorescence quantum yields depend on their molecular rigidity. In concentrated solutions of the NPIs, intermolecular interactions were found to result in quenching of fluorescence. In contrast, upon aggregation (in THF:H2O mixtures), two of the NPIs show aggregation-induced-emission-enhancement (AIEE). The NPIs also show moderately high solid-state emission quantum yields (~10-12.7 %). The AIEE behaviors of the NPIs depend on their molecular rigidity and nature of intermolecular interactions. The NPIs (8-10) show different extents of intermolecular (π-π and C-H•••O) interactions in their solid-state structures depending on their substituents. Detailed photophysical, computational and structural investigations suggest that only an optimal balance of structural flexibility and intermolecular communication is the effective recipe for achieving AIEE characteristics in these NPIs. Chapter 4 presents the design, synthesis and detailed investigations and potential applications of a series of NPI-BODIPY dyads (11-13). The NPI and BODIPY moieties in these dyads are electronically separated by oxoaryl bridges and the compounds only differ structurally with respect to methyl substitutions on the BODIPY fluorophore. The NPI and BODIPY moieties retain their optical features in these molecular dyads (11- 13). Dyads 11-13 show dual emission in solution state originating from the two separate fluorescent units. The variations of the dual emission in these compounds are controlled by the structural flexibility of the systems. The dyads also show significant AIES (Aggregation-Induced-Emission Switching) features upon formation of nano-aggregates in THF-H2O mixtures with visual changes in emission from green to red color. Whereas the flexible and aggregation prone system (i.e. compound 11) shows aggregation-induced enhancement of emission, rigid systems with less favorable intermolecular interactions (i.e. compound 12-13) show aggregation-induced quenching of emission. The emission-intensity vs. the structural-flexibility correlations were found to be reverse in solution and aggregated states. Photophysical and structural investigations suggest that the intermolecular interactions (e.g. π-π stacking etc.) play major role in controlling emission of these compounds in aggregated states. Similar trends were also observed in the solid-state luminescence of these compounds. The applications of the luminescent dyads 11-13 as live-cell imaging dyes was also investigated. Chapter 5 describes investigations of photophysical properties of a series of six BODIPY dyes (14-19) in which there is a systematic alteration of a common -C6H4Si(CH3)3 substituent. Inrelated constitutional isomers, the systematic increment of steric congestion and lowering of molecular symmetry around the BODIPY core result in a steady increment of solution and solid- state fluorescence quantum yields. The increasing fluorescence quantum yields (solution, solid state) with increasing steric congestions show that the molecular free rotation and aggregation-induced fluorescence quenching of BODIPYs can be successfully suppressed by lowering the flexibility of the molecules. Photophysical and DFT investigations reveal that the electronic band gap in any set of these constitutional isomers remain almost similar. However, the crystal structures of the compounds reveal that the solid-state colour and quantum yields of the compounds in solid-state are also related to the nature of intermolecular interactions. Chapter 6 demonstrates the use of DFT computational methods to understand the effect of alkyl groups in governing the basic structural and electronic aspects of BODIPY dyes. As demonstrated in Chapter 4 and Chapter 5, apparently electronically inactive alkyl groups can be of immense importance to control the overall photophysics of BODIPYs. In this context, a systematic strategy su was utilized considering all possible outcomes of constitutionally-isomeric molecules to understand the effects of alkyl groups on the BODIPY molecules. Four different computational methods were employed to ascertain the unanimity of the observed trends associated with the molecular properties. In line with experimental observations, it was found that alkyl substituents in BODIPY dyes situated at 3/5-positions effectively participate in stabilization as well as planarization of such molecules. Screening of all the possible isomeric molecular systems was used to understand the individual properties and overall effects of the typical alkyl substituents in controlling several basic properties of such BODIPY molecules.

This thesis aims to optimize the machine learning algorithms for predicting KPI metrics for an organization. The organization is predicting whether projects meet planned deadlines of the last phase of development process using machine learning. The work focuses on the analysis of prediction models and sets the goal of selecting new candidate models for the prediction system. We have implemented a system that automatically selects the best feature variables for learning. Trained models were evaluated by several performance metrics and the best candidates were chosen for the prediction. Candidate models achieved higher accuracy, which means, that the prediction system provides more reliable responses. We suggested other improvements that could increase the accuracy of the forecast.