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Deep Learning–Based Retinoblastoma Protein Subtyping of Pulmonary Large-Cell Neuroendocrine Carcinoma on Small Hematoxylin and Eosin–Stained Specimens

Molecular subtyping of pulmonary large-cell neuroendocrine carcinoma (LCNEC) based on retinoblastoma protein (pRb) expression may influence systemic treatment decisions. Current histomorphologic assessments of hematoxylin and eosin–stained tissue samples cannot reliably differentiate LCNEC molecular subtypes. This study explores the potential of deep learning (DL) to identify histologic patterns t

Sustainability framework for manufacturing in the steel industry : emphasis on eco-centric and sociocentric dimensions

Global policies, legislation, and eco-friendly initiatives have induced the steel industry to integrate sustainable development approaches. Sustainability requires all phases from raw material sourcing to transportation to waste and carbon footprint elimination—yielding positive effects. This research employs a two-step approach in sustainability. The first phase entails conducting a systematic li

Impact of aggregated electric vehicle home charging in the sub-transmission grid

The increasing global concern for greenhouse gas emissions has led to a fast pace in the transition away from fossil fuels in the transport sector. The share of electric passenger cars is increasing quickly, introducing new loads on the power grid. These loads primarily appear at the distribution grid level, where most of the charging occurs in the form of overnight charging at home. Although the

Shared Visions: Evaluating Potential in Unsettled Fields

Issues of quality, value, and merit are perpetually lively and contentious in scientific and academic work, and research on evaluation panels have shown that organizational constraints and the methods of evaluation used, whether well-motivated or adopted ad hoc, have enormous influence on outcomes. But while previous studies have highlighted the influence exerted by particular methods of evaluatio

Den dubbla utsatthetens logik - Socialsekreterares upplevelser på ekonomiskt bistånd av att arbeta med klienter som har psykisk ohälsa

The purpose of this study was to understand how social workers in financial assistance perceive and support clients with mental illness and poverty. To answer the purpose of our study, we collected data using a qualitative methodology involving six social workers in financial assistance. The empirical data were examined through thematic analysis, where recurring patterns were identified. Our two t

Political Authority in Islamic Thought

This thesis examines how key political concepts within Islamic political thought—legitimacy, consultation (shura), and community (ummah)—have been formulated and reinterpreted across classical and modern contexts. Rather than evaluating Islamic political ideas through external normative frameworks such as liberal democracy, the study aims to analyze how political authority and governance have been

Termination of rotational bands : Disappearance of quantum many-body collectivity

One of the most interesting features of nuclei is the process by which specific configurations, manifest as collective rotational bands at intermediate spin values, gradually lose their collectivity and terminate in a non-collective state at the maximum spin which can be built within the configuration. Recent advances in both experiment and theory allow the study of this nuclear structure feature

Hawk : An industrial-strength multi-label document classifier

There are a plethora of methods for solving the classical multi-label document classification problem. However, when it comes to deployment and usage in an industry setting, most if not all the contemporary approaches fail to address some of the vital aspects or requirements of an ideal solution: i) ability to operate on variable-length texts or rambling documents, ii) catastrophic forgetting prob

Evaluation of ML potential for modelling and process control of a reduction annealing process

While many industrial processes have been thoroughly exposed to machine learning models, the realm of powder metallurgy is still underexplored. This thesis aims to investigate the potential for a machine learning model to predict the characteristics of metal powders after a reduction annealing process using time series process data from the furnace. A supervised learning model was developed to pre

Single-cell mass-density measurements using microchannel gradient centrifugation

We present a microchannel-based adaptation of mass density-gradient centrifugation for the mass density measurement of cells or microparticles. The workflow consists of three basic steps: Microchannel filling, centrifugation, and microscopy. Microchannel filling and subsequent centrifugation of two liquids with different densities allows the instantaneous, precise, and repeatable generation of a o

Winter fruit contribution to the performance of the invasive fruit fly Drosophila suzukii under different thermal regimes

Polyphagous insect species develop using multiple host plants. Often considered beneficial, polyphagy can also be costly as host nutritional quality may vary. Drosophila suzukii (Matsumura) is an invasive species that can develop on numerous fruit species over the annual cycle. Here, we assessed the contribution of winter-available fruit to the development of seasonal populations of D. suzukii, un

Impact of spring rape varieties on protein extraction from press cake, emulsifying properties and antinutrient content

BACKGROUND: Rapeseed is the second most cultivated oilseed globally after soybean and a protein-rich press cake is generated after liberation of the oil. However, its use in food applications is limited by high levels of anti-nutrients such as glucosinolates and phytic acid. Although differences between botanical varieties are known, controlled comparisons of modern spring varieties for protein fu

Optimal departure decisions of songbirds from an experimental stopover site and the significance of weather

Recent models have worked with the assumption that birds try to minimize either time, energy or predation risk during migration, or some combination of these. The few empirical studies available have suggested that time minimization may be the most common strategy. One way of distinguishing between strategies is to study the departure decisions of migrating birds. We supplied migrating European ro

Non-intrusive optical study of gas and its exchange in human maxillary sinuses - art. no. 662804

We demonstrate a novel non-intrusive technique based on tunable diode laser absorption spectroscopy to investigate human maxillary sinuses in vivo. The technique relies on the fact that free gases have much sharper absorption features (typical a few GHz) than the surrounding tissue. Molecular oxygen was detected at 760 nm. Volunteers have been investigated by injecting near-infrared light fibre-op