Mergers & Acquisition in the Luxury Goods Industry - An Assessment of drivers &strategies.

The luxury goods industry has undergone a significant change of paradigms during the three elapsed decades. Luxury industry is a collective term for companies selling – besides high-quality products – principally status, emotional benefit, prestige and exclusivity as well as the dream of separation from the ordinary may be traditional since the mid 1980s. Since that time, this conceptual term has shaped both the self-conception of the industry and its perception by customers. Moreover, the mid 80s had been a phase when several luxury companies were formed and repositioned. In the early 1990s, market actors became aware of the tougher competitive situation within this industry segment. This awareness marked the beginning of consolidation activities increasingly intensifying until the year 2000 when the number of transactions climaxed. (Berry 1994) The main purpose of the research is to provide both an academic and methodical view to analyze the motivations that drive M&A in the luxury goods industry in these turbulent times. The primary purpose of this research report is to analyze the drivers and strategies adopted pre and post consolidation in the luxury goods industry along with repercussions of the same in terms of financial and strategic synergy benefits accrued. This research investigates strategic drivers involved in mergers and acquisitions and whether the performance of the acquirer and target firm increases post its acquisition along with the impact it has on shareholder value. It also looks into the stock markets reactions pre and post transactions

Fabrication and Evaluation of Herbal Hair Gel containing Zizipus jujuba, Hibiscus and Piper nigrum

Hair is an imperative part of human body. Various synthetic compounds, chemicals, and their derivatives have been proved to cause destructive effects. A number of herbal principles have been commended with hair growth promoting action and formulating them into appropriate cosmeceuticals can be well acknowledged as far as the patient compliance is concerned. The objective of the present research work was to develop a hair gel formulation with Black pepper (Piper nigrum) which is often used in Ayurvedic medicines and it stimulates hair follicles causing growth, and with Hibiscus leaves extract which is known as a hair growth promoter and a hair conditioner as well. The formulations also contain Ziziphus jujuba leaves extract, which has been reported possessing antibacterial activity which makes it beneficial against dandruff and scalp infections. Along with extracts of Ziziphus jujuba and Hibiscus leaves and Black Pepper seeds (3% w/w each). All the ingredients used to prepare the hair gel was found harmless and the physicochemical assessment showed ideal results, but advance research is required to perceive its hair growth promotion property. Keywords:  Ziziphus jujuba, Piper nigrum , Hibiscus, Hair Ge

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

COVLIAS 1.0: an automated lung segmentation was designed for COVID-19 diagnosis. It has issues related to storage space and speed. This study shows that COVLIAS 2.0 uses pruned AI (PAI) networks for improving both storage and speed, wiliest high performance on lung segmentation and lesion localization.ology: The proposed study uses multicenter ∼9,000 CT slices from two different nations, namely, CroMed from Croatia (80 patients, experimental data), and NovMed from Italy (72 patients, validation data). We hypothesize that by using pruning and evolutionary optimization algorithms, the size of the AI models can be reduced significantly, ensuring optimal performance. Eight different pruning techniques (i) differential evolution (DE), (ii) genetic algorithm (GA), (iii) particle swarm optimization algorithm (PSO), and (iv) whale optimization algorithm (WO) in two deep learning frameworks (i) Fully connected network (FCN) and (ii) SegNet were designed. COVLIAS 2.0 was validated using "Unseen NovMed" and benchmarked against MedSeg. Statistical tests for stability and reliability were also conducted.Pruning algorithms (i) FCN-DE, (ii) FCN-GA, (iii) FCN-PSO, and (iv) FCN-WO showed improvement in storage by 92.4%, 95.3%, 98.7%, and 99.8% respectively when compared against solo FCN, and (v) SegNet-DE, (vi) SegNet-GA, (vii) SegNet-PSO, and (viii) SegNet-WO showed improvement by 97.1%, 97.9%, 98.8%, and 99.2% respectively when compared against solo SegNet. AUC > 0.94 (p 0.86 (p < 0.0001) on NovMed data set for all eight EA model. PAI <0.25 s per image. DenseNet-121-based Grad-CAM heatmaps showed validation on glass ground opacity lesions.Eight PAI networks that were successfully validated are five times faster, storage efficient, and could be used in clinical settings

Creación y Simulación de Metodologías de Análisis, Clasificación e Integración de Nuevos Requerimientos a Software Propietario

La priorización de nuevos requerimientos a implementar en un software propietario es un punto fundamental para su mantenimiento, la conservación de la calidad, observación de las reglas de negocio y los estándares de la empresa. Aunque existen herramientas de priorización basadas en técnicas probadas y reconocidas, las mismas requieren una calificación previa de cada requerimiento. Si la empresa cuenta con solicitudes provenientes de varios clientes de un mismo producto, aumentan los factores que afectan a la empresa, las herramientas disponibles no contemplan estos aspectos y hacen mucho más compleja la tarea de calificación. Este trabajo de investigación abarca la realización de un relevamiento de los métodos de priorización y selección de nuevos requerimientos utilizados por empresas de la zona de Rosario, y la definición de una metodología para la selección un nuevo requerimiento, que implica el análisis y evaluación de todas las implicaciones sobre el producto de software y la empresa, respetando sus reglas de negocio. La metodología creada conduce a la definición de los procesos para la construcción de una herramienta de calificación y priorización de nuevos requerimientos en software propietario que tiene solicitudes de varios clientes al mismo tiempo, con instrumentos de calificación que consideran todos los aspectos relacionados, proveerá técnicas de priorización actuales y emitirá informes personalizados según diferentes perspectivas de la empresa.Eje: Ingeniería de SoftwareRed de Universidades con Carreras en Informática (RedUNCI

Mergers & Acquisition in the Luxury Goods Industry - An Assessment of drivers &strategies.

The luxury goods industry has undergone a significant change of paradigms during the three elapsed decades. Luxury industry is a collective term for companies selling – besides high-quality products – principally status, emotional benefit, prestige and exclusivity as well as the dream of separation from the ordinary may be traditional since the mid 1980s. Since that time, this conceptual term has shaped both the self-conception of the industry and its perception by customers. Moreover, the mid 80s had been a phase when several luxury companies were formed and repositioned. In the early 1990s, market actors became aware of the tougher competitive situation within this industry segment. This awareness marked the beginning of consolidation activities increasingly intensifying until the year 2000 when the number of transactions climaxed. (Berry 1994) The main purpose of the research is to provide both an academic and methodical view to analyze the motivations that drive M&A in the luxury goods industry in these turbulent times. The primary purpose of this research report is to analyze the drivers and strategies adopted pre and post consolidation in the luxury goods industry along with repercussions of the same in terms of financial and strategic synergy benefits accrued. This research investigates strategic drivers involved in mergers and acquisitions and whether the performance of the acquirer and target firm increases post its acquisition along with the impact it has on shareholder value. It also looks into the stock markets reactions pre and post transactions

A Review of Recent Advances in the Diagnosis of Cardiac Amyloidosis, Treatment of Its Cardiac Complications, and Disease-Modifying Therapies

Cardiac amyloidosis (CA), a significant condition resulting in infiltrative cardiomyopathy and heart failure with preserved ejection fraction (HFpEF), is caused by extracellular deposition of amyloid fibrils in the heart. Even though this has been known for an extended period, its prevalence in elderly patients with heart failure is increasingly being recognized. Recent advances in diagnosis with non-invasive methods like technetium pyrophosphate-labeled cardiac scintigraphy (i.e., Tc-PYP scan) and treatment options with tafamidis have played a pivotal role in awareness of the burden of this disease. Management of cardiac complications like heart failure, atrial arrhythmias, conduction block, ventricular arrhythmias, coronary artery disease, and aortic stenosis is now more critical than ever. We aim to review and outline the recent advances in diagnoses of CA. We also review management strategies for cardiac complications of CA with a brief summary of disease-modifying therapies

Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)

This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). VMWEs were annotated according to the universal guidelines in 19 languages. The corpora are provided in the cupt format, inspired by the CONLL-U format. The corpora were used in the 1.1 edition of the PARSEME Shared Task (2018). For most languages, morphological and syntactic information ­­­­– not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.1 (2018). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.