Browsing by Title
Now showing items 40407-40426 of 73025
-
M&A during a pandemic – Alterations of processes A case study on a Swedish strategic serial acquirer in the tech industry
(2021-06-24)Through a single case study, we expand on pre-existing M&A research by examining how M&A processes have been affected by the increased information asymmetry as a result of the Covid-19 pandemic and what implications it ... -
M&A processes in the Italian multi-utility industry: accomplishment of a political project, chance for growth and value creation. An industry analysis starting from a case study of Acea S.p.A.
(2018-01-18)This M.Sc. Thesis aims to investigate on the reasons at the basis of the M&A operations that, in the last few years, are radically changing the structure and the dynamics of the multi-utility industry in Italy. Through ... -
M&As and Their Impact on the Organization
(2000)This paper deals with the M&A process. Since it is a broad area we have decided to concentrate on the organizational change that occurs in an M&A, the integration phase, and what this means to people in the organization. ... -
M:lle Blanche.
(1896) -
Ma Famille - narrative approaches in play
(2013-02-20)Ma famille is a hat design project for role play. It is a group of characters, they create a small family. There are 5 hats in total, and they were designed as creatures who has different personalities. Ma famille was ... -
Ma/NO-profilelevers framtidsplaner och attityder till naturvetenskap i skolan och i samhället – en jämförelse med den svenska ROSE-studien
(2013)Denna studie bidrar till att öka kunskapen om profilklasser med särskild inriktning mot matematik och naturorienterande ämnen (Ma/NO) - ett fenomen som dykt upp i svensk skola under de senaste decenniet. I denna undersökning ... -
MAC. Tolkning av medvetet oklara svävarvillkor i avtal om företagsköp
(2012-02-06)I avtal om företagsförvärv finns ofta en MAC-klausul. Den är ägnad att villkora köparens avtalsbundenhet om någon händelse väsentligt påverkar målbolaget mellan signing och closing. Att undkomma bundenhet av ett ingånget ... -
Machine learning and big data for personalized epilepsy treatment
(2023-05-23)Finding an effective anti-seizure medication (ASM) with minimal side effects is a challenge. Patient characteristics are used to guide treatment selection, but about half of the patients with epilepsy do not achieve seizure ... -
Machine Learning for Detecting Hate Speech in Low Resource Languages
(2020-07-08)This work examines the role of both cross-lingual zero-shot learning and data augmentation in detecting hate speech online for low resource set-ups. The proposed solutions for situations where the amount of labeled data ... -
Machine learning for identification of brain activity patterns with applications in gentle touch processing
(2009-10-23)Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data ... -
Machine learning for molecular property prediction and drug safety
(2023-10-23)Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction ... -
Machine Learning for NCC's Concrete Pile Production
(2021-09-17)In this thesis, the usefulness of machine learning (ML) is evaluated for the processes of NCC's subsidiary company Hercules. It is evaluated with regard to ML's ability to assist reduction of CO2 footprint and costs. The ... -
Machine Learning for Reducing the Effort of Conducting Systematic Reviews in SE
(2015-05-05)Objective : To investigate whether machine learning and text-based data mining can be used to support the primary studies selection process and decrease the needed efforts in systematic reviews conducted in the context ... -
Machine Learning for Suicide Risk Assessment on Depressed Patients
(2019-11-21)Suicide is a global phenomena and the leading cause of death in some countries and age groups, accounting for nearly 1 million deaths and 10 million attempts per year. It costs society a substantial amount of money both ... -
Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
(2023-03-22)Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic ... -
Machine Learning to Uncover Correlations Between Software Code Changes and Test Results
(2017-12-05)Statistics show that many large software companies, particularly those dealing with large-scale legacy systems, ultimately face an ever-growing code base. As the product grows, it becomes increasingly difficult to adequately ...