a moderated mediation study of work motives and perceived organizational support

Since companies across the world are currently experiencing two pervasive and influential transformations, indeed the increasingly age diverse workforces and implementations of digital technologies, researchers and organizations need to generate more insights about how these changes interact and can be successfully managed. Several assumptions exist about older employees being resistant towards digital business transformation (DBT), however, there is no extensive empirical research for this phenomenon yet, neither are there any explanations. Hence, the purpose of this thesis is to analyze the effect of employees’ chronological age on their acceptance behavior towards DBT. In order to explain the association, common work motives are investigated as mediators. Moreover, it is predicted that the motives-acceptance relationships can be moderated by perceived organizational support (POS). To test the assumptions and find explanations, a moderated mediation model is analyzed, based on survey data from 132 individuals working in different industries. The output suggests that age is indeed negatively related to acceptance of DBT and this is fully mediated by growth and social motives. Contrary to the predictions, job security motives are not mediating the relationship. Highly value-adding is the moderating effect of POS, which shows that POS compensates for low levels of growth and social motives to predict DBT-acceptance. Thus, the thesis suggests that managers have to implement high levels of POS, especially when the organization contains several employees who are not or only slightly driven by growth and social motives, in order to ensure the successful implementation of DBT

Koexistenz zentraler Schlafapnoe und periodischer Atmungsmuster bei Patienten mit Herzinsuffizienz und obstruktiver Schlafapnoe

Hintergrund: Ziel dieser Analyse ist es, die Koexistenz zentraler Schlafapnoe (CSA) und periodischer Atmungsmuster bei Patienten mit Herzinsuffizienz (HI) und obstruktiver Schlafapnoe (OSA), genauer zu charakterisieren. Signifikante Anteile zentraler Apnoen/Hypopnoen und das Vorliegen eines periodischen Atmungsmusters werden als Indikatoren für eine beeinträchtigte Atmungsregulation bei Patienten mit HI vermutet. Im Rahmen dieser Analyse werden neben der Prävalenz auch mögliche Risikofaktoren solcher Indikatoren untersucht. Patienten und Methoden: In das SCHLA-HF Register wurden aus 138 deutschen Zentren (91 kardiologische Praxen und 47 kardiologische Kliniken) 10.490 Patienten mit chronischer HI und HF-REF eingeschlossen. Anschließend erfolgte ein Schlafapnoe-Screening mit Hilfe des 2-Kanal Screeningsystems ApneaLink. Patienten mit einem AHI≥15/h und/oder klinischem Verdacht auf das Vorliegen einer Schlafbezogenen Atmungsstörung (SBAS), wurden in eine der kooperierenden Schlafkliniken überwiesen. Dort erhielten sie zur Diagnosesicherung eine Polysomnographie (PSG). Von den 10.490 Patienten wurden 1.394 in die abschließende Analyse einbezogen. Ergebnisse/Fazit: Die Prävalenz signifikanter Anteile von CSA und objektiv gemessenem periodischen Atmungsmuster bei Patienten mit HI und OSA ist hoch. Je höher der Anteil zentraler Atemereignisse ist, desto häufiger besteht ein periodisches Atmungsmuster. Die Risikofaktoren für signifikante Anteile zentraler Apnoen/Hypopnoen sind weitestgehend identisch mit denen für das Vorliegen eines periodischen Atmungsmusters. Diese Indikatoren für eine Instabilität der Atmungsregulation könnten dazu dienen, klinische Risikoprofile zu erstellen, anhand derer bereits im Vorfeld Therapieentscheidungen getroffen werden könnte

The effect of chronological age on employees’ acceptance of digital business transformation: a moderated mediation study of work motives and perceived organizational support

Since companies across the world are currently experiencing two pervasive and influential transformations, indeed the increasingly age diverse workforces and implementations of digital technologies, researchers and organizations need to generate more insights about how these changes interact and can be successfully managed. Several assumptions exist about older employees being resistant towards digital business transformation (DBT), however, there is no extensive empirical research for this phenomenon yet, neither are there any explanations. Hence, the purpose of this thesis is to analyze the effect of employees’ chronological age on their acceptance behavior towards DBT. In order to explain the association, common work motives are investigated as mediators. Moreover, it is predicted that the motives-acceptance relationships can be moderated by perceived organizational support (POS). To test the assumptions and find explanations, a moderated mediation model is analyzed, based on survey data from 132 individuals working in different industries. The output suggests that age is indeed negatively related to acceptance of DBT and this is fully mediated by growth and social motives. Contrary to the predictions, job security motives are not mediating the relationship. Highly value-adding is the moderating effect of POS, which shows that POS compensates for low levels of growth and social motives to predict DBT-acceptance. Thus, the thesis suggests that managers have to implement high levels of POS, especially when the organization contains several employees who are not or only slightly driven by growth and social motives, in order to ensure the successful implementation of DBT

Upward Lightning at the Gaisberg Tower: Initiation Mechanism and Flash Type and the Atmospheric Influence

Upward lightning is much rarer than downward lightning and requires tall ($100+$~m) structures to initiate. It may be either triggered by other lightning discharges or completely self-initiated. While conventional lightning location systems reliably detect downward lightning, they miss a specific flash type of upward lightning that consists only of a continuous current. Globally, only few specially instrumented towers can detect this flash type. The proliferation of wind turbines in combination with large damage from upward lightning necessitates an improved understanding under which conditions the self-initiated and the undetected subtype of upward lightning occur. To find larger-scale meteorological conditions favorable for self-initiated and undetectable upward lightning, this study uses a random forest machine learning model. It combines direct measurements at the specially instrumented tower at Gaisberg mountain in Austria with explanatory variables from larger-scale atmospheric reanalysis data (ERA5). Atmospheric variables reliably explain whether upward lightning is self-initiated by the tower or triggered by other lightning discharges. The most important variable is the height of the $-10~^\circ$C isotherm above the tall structure: the closer it is the higher is the probability of self-initiated upward lightning. Two-meter temperature and the amount of CAPE are also important. For the occurrence of upward lightning undetectable by lightning location systems, this study finds a strong relationship to the absence of lightning in the vicinity

Synthesis of High Crystalline TiO2 Nanoparticles on a Polymer Membrane to Degrade Pollutants from Water

Titanium dioxide (TiO2) is described as an established material to remove pollutants from water. However, TiO2 is still not applied on a large scale due to issues concerning, for example, the form of use or low photocatalytic activity. We present an easily upscalable method to synthesize high active TiO2 nanoparticles on a polyethersulfone microfiltration membrane to remove pollutants in a continuous way. For this purpose, titanium(IV) isopropoxide was mixed with water and hydrochloric acid and treated up to 210 °C. After cooling, the membrane was simply dip-coated into the TiO2 nanoparticle dispersion. Standard characterization was undertaken (i.e., X-ray powder diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, water permeance, contact angle). Degradation of carbamazepine and methylene blue was executed. By increasing synthesis temperature crystallinity and photocatalytic activity elevates. Both ultrasound modification of nanoparticles and membrane pre-modification with carboxyl groups led to fine distribution of nanoparticles. The ultrasound-treated nanoparticles gave the highest photocatalytic activity in degrading carbamazepine and showed no decrease in degradation after nine times of repetition. The TiO2 nanoparticles were strongly bound to the membrane. Photocatalytic TiO2 nanoparticles with high activity were synthesized. The innovative method enables a fast and easy nanoparticle production, which could enable the use in large-scale water cleaning

Paradigmatic Approach to Support Personalized Counseling With Digital Health (iKNOW)

iKNOW is the first evidence-based digital tool to support personalized counseling for women in Germany with a hereditary cancer risk. The counseling tool is designed for carriers of pathogenic gBRCA (germline breast cancer gene) variants that increase the lifetime risk of breast and ovarian cancer. Carriers of pathogenic variants are confronted with complex, individualized risk information, and physicians must be able to convey this information in a comprehensible way to enable preference-sensitive health decisions. In this paper, we elaborate on the clinical, regulatory, and practical premises of personalized counseling in Germany. By operationalizing these premises, we formulate 5 design principles that, we suggest, are specific enough to develop a digital tool (eg, iKNOW), yet wide-ranging enough to inform the development of counseling tools for personalized medicine more generally: (1) digital counseling tools should implement the current standard of care (eg, based on guidelines); (2) digital counseling tools should help to both standardize and personalize the counseling process (eg, by enabling the preference-sensitive selection of counseling contents from a common information base); (3) digital counseling tools should make complex information easy to access both cognitively (eg, by using evidenced-based risk communication formats) and technically (eg, by means of responsive design for various devices); (4) digital counseling tools should respect the counselee's data privacy rights (eg, through strict pseudonymization and opt-in consent); and (5) digital counseling tools should be systematically and iteratively evaluated with the users in mind (eg, using formative prototype testing to ensure a user-centric design and a summative multicenter, randomized controlled trial). On the basis of these paradigmatic design principles, we hope that iKNOW can serve as a blueprint for the development of more digital innovations to support personalized counseling approaches in cancer medicine

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

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