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A joint effort to discover and characterize two resonant mini-Neptunes around TOI-1803 with TESS, HARPS-N, and CHEOPS

Context. The discovery and characterization of mini-Neptunes hold a potentially crucial impact on planetary formation and evolution theories. Estimating their orbital parameters and atmospheric properties would provide valuable hints to improve formation and atmospheric models. Aims. We present the discovery of two mini-Neptunes near a 2:1 orbital resonance configuration orbiting the K0 star TOI-1

Search for Dark Matter Produced in Association with a Dark Higgs Boson in the ⁢¯ Final State Using ⁢ Collisions at √=13 TeV with the ATLAS Detector

A search is performed for dark matter particles produced in association with a resonantly produced pair of (Formula presented)-quarks with (Formula presented) using (Formula presented) of proton-proton collisions at a center-of-mass energy of 13 TeV recorded by the ATLAS detector at the LHC. This signature is expected in extensions of the standard model predicting the production of dark matter par

Heavy Metals, Global Winds and Evaporating Worlds: High-Resolution Spectroscopy of Ultra-Hot Jupiters

En av de vanligaste frågorna som brukar ställas till astronomer är om det finns liv någon annanstans i universum. Vi har ännu inget enkelt svar. Framsteg mot ett svar på denna fråga görs lite i taget. Den här avhandlingen är ett av dessa steg.Min forskning är inriktad på atmosfärerna hos så kallade "ultra-hot Jupiters": planeter i Jupiters storlek som kretsar så nära sina stjärnor att de hettas upOne of the biggest questions people ask astronomers is whether life exists elsewhere in the universe. Unfortunately, we don’t yet have an answer. Instead, progress towards an answer comes in small, careful steps. This thesis is one of those steps.My research has focused on the atmospheres of "ultra-hot Jupiters": planets the size of Jupiter that orbit so close to their stars they are heated to tho

Industry 4.0 technologies in postharvest operations : current trends and implications

Agriculture 4.0, the 4th agricultural revolution, aims to adopt digital technologies to make farming more planned, predictive, and productive. The emergence of innovative ecosystems with increased relevance in implementation, integration, and connectivity is evident nowadays. The influence of all these technical innovations on our daily lives is immense. From a technical perspective, this leads us

Search for triple Higgs boson production in the 6b final state using pp collisions at √s = 13 TeV with the ATLAS detector

A search for the production of three Higgs bosons ((Formula presented)) in the (Formula presented) final state is presented. The search uses (Formula presented) of proton-proton collision data at (Formula presented) collected with the ATLAS detector at the Large Hadron Collider. The analysis targets both nonresonant and resonant production of (Formula presented). The resonant interpretations prima

Artificial intelligence and data science in food processing industry

Digital transformations and industrial automation help improve productivity and operational efficiency at a mass scale without compromising quality and consistency in the food processing industry. This chapter discusses how artificial intelligence (AI) can effectively enhance food hygiene, safety and quality, efficient production and supply chain by efficient decision-making, food waste management

Predictors of failure to rescue after fenestrated-branched endovascular aortic repair of thoracoabdominal aortic aneurysms

Objective: Failure to rescue (FTR), defined as mortality due to failure in responding to in-hospital complications, is an important quality indicator. This study aimed to assess incidence and predictors for FTR among centers performing fenestrated-branched endovascular aortic repair (FB-EVAR) of thoracoabdominal aortic aneurysms (TAAA). Methods: Consecutive patients treated by FB-EVAR for TAAAs be

An integrated conceptual framework for AI-driven fruit supply chain quality management : pathways toward circularity and sustainability

Agri-food systems globally experience growing difficulties associated with losses after harvesting, irregular quality, and inefficient utilization of resources, particularly within fruit supply chain (FSC). Given the complicated structure in FSCs, it is critical to guarantee quality at all levels to sustain customer satisfaction and optimize the utilization of resources. Conventional inspections a

Distinct immune microenvironments in ovarian cancer subtypes indicate potential for immunotherapies

BackgroundTo enable immunotherapy for ovarian cancers, precision targets for immune priming as well as patient stratification approaches are required. The tumor microenvironment in particularly the rare subtypes of low-grade serous, mucinous, clear cell and endometrioid ovarian cancer, remains poorly characterized, and these tumors have been largely ignored in the immuno-oncology setting.MethodsWe

Exploring the role of artificial intelligence in sustainable food processing in India

Background: The Indian food industry is undergoing a significant shift towards sustainability, driven by emerging technologies such as artificial intelligence (AI). This study aims to explore the role of AI in promoting sustainable food processing in India, based on data collected from 110 businesses. Methods: Three hypotheses were developed and analyzed to assess the adoption of AI for sustainabi

Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC

The high-luminosity phase of LHC operations (HL-LHC), will feature a large increase in simultaneous proton-proton interactions per bunch crossing up to 200, compared with a typical leveling target of 64 in Run 3. Such an increase will create a very challenging environment in which to perform charged particle trajectory reconstruction, a task crucial for the success of the ATLAS physics program, an

Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk

Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that included 52,416 AF cases and 277,762 controls. In burden tests of rare coding variation, we identified novel associations between AF and the genes MYBPC3, LMNA, PKP2, FAM189A2 and KDM5B. We further identifie

High-resolution mass spectrometer-based identification of β-Casein variant (A2/A1) in the milk of Indian Holstein Friesian crossed cows

Foodomics tools are ameliorating the compositional and quality analysis part of various domains of food products. The use of proteomics in the polymorphic product investigation of beta-casein (β-Cn) is intriguing because of the fast and reliable results from the accurate mass spectrometry. This study delineates the LC-MS/MS-based sequential analysis of gel fractionated β-Cn of eighteen Holstein Fr

Formulization and characterization of guar gum and almond gum based composite coating and their application for shelf-life extension of okra (Hibiscus esculentus)

The current novel study aims was to development and characterization of gum based (guar gum: almond gum) composite formulations with or without addition of oregano essential oils to extend the shelf life of okra at ambient condition. In this study, the optimized composite of guar gum: almond gum (75:25 V/V) prepared with addition of different concentrations (0.05, 0.1 and 0.15 % (V/V) of oregano e

Animal husbandry in Neolithic and Bronze Age southwestern Scania, Sweden – A zooarchaeological meta-analysis

This paper explores animal husbandry practices in the South Scandinavian Neolithic (c. 4000–1700 cal. BCE) and Bronze Age (c. 1700–500 cal. BCE) through a meta-analysis of 86 zooarchaeological assemblages from the Malmö region in southwestern Sweden. Quantitative data based on the number of identified specimens (NISP) have been compiled and are discussed against other lines of archaeological evide

Cultural Origins of Preventive Care Utilization

We examine whether culturally transmitted time and risk preferences help explain differences in preventive health care uptake. We combine individual-level survey data from 27 European countries with country-level preference measures from the Global Preferences Survey. To isolate cultural influences from institutional and economic confounders, we focus on second-generation immigrants, who were born

Sustainable innovations in the food industry through artificial intelligence and big data analytics

The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable need to develop high-standard procedures through intelligent and innovative technologies, such as artificial intelligence (AI) and big data. This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural net