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Your search for "best fut sniping bot 【Best BOT site: Coinsnight.com】cn67c2s.J943" yielded 17895 hits

Portfolio Optimization with Machine Learning: Predicting Market Returns and Portfolio Weights

Att investera sina pengar på ett smart sätt – så kallad portföljoptimering – är en grundläg- gande utmaning inom finans. Traditionellt har detta byggt på att man försöker förutspå framtida avkastning och hur olika tillgångar samvarierar. Men dessa uppskattningar är ofta osäkra och kan leda till felbeslut. I takt med att maskininlärning blivit allt vanligare inom finansvärlden har nya metoder utvecPortfolio optimization is a central problem in finance, with traditional approaches of- ten relying on forecasts of expected returns and covariances. With the growing adoption of machine learning in finance, return forecasting using ML techniques has become in- creasingly common. More recently, an alternative approach has been proposed where the portfolio weights are learned directly, bypassing th

Assessing Data Quality in Image Recognition Datasets of Swedish Financial Reports

A great amount of financial statements of Swedish companies are registered with the Swedish companies registration office, Bolagsverket, as paper copies. These copies are then scanned and made available to the public as image-PDFs, meaning the financial information contained in them is not digitised and therefore not easily processed in an automated manner. Being able to do so, is valuable however

KEY FIGURES TO EDUCATE THE DISTRICT HEATING CUSTOMER

Underlaget fo ̈r detta examensarbete ha ̈rstammar fr ̊an tv ̊a platser, ett nytt tilla ̈gg till Fja ̈rrva ̈rmelagen och Landskrona Energi AB’s (LEAB’s) o ̈nskan om en ba ̈ttre kund- kommunikation. Lagen anger att ett fja ̈rrva ̈rmefo ̈retag ska fo ̈rse sina kunder med en ja ̈mfo ̈ring av sina nyckeltal mot kunder med liknande konsumptionsprofil. LEAB kom- muniserar prisfo ̈ra ̈ndringar och uppdateThe basis for this thesis work is derived from two sources, a new Swedish District Heating (DH) law and the internal operation of Landskrona Energi AB (LEAB). The law states that a DH company should present their customers with a comparison of relevant key figures to customers with similar user profiles. LEAB communicates pricing changes, a cost estimation for the coming year and newly calculated

Att arkivera aktivism på sociala medier: Etik, juridik och arkivariens roll

Today, social media offers new possible tools for organizing and spreading political messages than in the past, changing the way activism can take shape and thereby producing new forms of records. These records make up an important part of today’s history and therefore should be preserved for the future. However, despite the possibilities that social media offers, commercial social media platforms

A Machine Learning Framework for In Silico Screening of AAV Capsid Libraries Using Protein Language Models

Adeno-associated viruses (AAVs) are among the most promising vectors for safe and effective gene delivery in therapeutic applications. However, engineering functional AAV capsids remains a major challenge due to the vast sequence space, unpredictable biological performance, and limited translational success of many variants. Machine learning offers a powerful strategy to address these limitations

Plasma p-tau217, NfL, GFAP diagnostic performance and biomarker profiles in Alzheimer's disease, frontotemporal dementia, and psychiatric disorders, in a prospective unselected neuropsychiatry memory clinic

INTRODUCTION: Plasma biomarkers offer promise for improving the diagnosis of Alzheimer's disease (AD) and differentiating AD and other neurodegenerative disorders (NDs) like frontotemporal dementia (FTD) from primary psychiatric disorders (PPDs), particularly in younger patients. METHODS: In this prospective study, we investigated plasma phosphorylated tau 217 (p-tau217), neurofilament light chain

Towards evidence-based approaches to monitoring and evaluating age-friendly cities and communities: Reflections from the Western Pacific and Nordic Regions

Age-Friendly Cities and Communities (AFCC) is a key global WHO initiative aimed at fostering environments that promote healthy aging for everyone. As AFCC initiatives continue to expand, there is an increasing need to enhance monitoring and evaluation systems to effectively assess their progress and impact. However, significant knowledge gaps persist, particularly in the development of evaluation

Instruments for assessing social support in social networks and in the self-management and rehabilitation process of persons poststroke : a scoping review protocol

Introduction As care and rehabilitation poststroke are increasingly moving into persons’ home environment, the importance of support from social networks in self-management and rehabilitation has emerged as an important topic for research and practice. While there are instruments used to assess social support and collective efficacy, a clearer scope of the availability and quality of these instrum

Förälderns rätt, för barnets bästa? En analys av avvägningen mellan barns och föräldrars rättigheter vid tillhandahållande av sociala insatser riktade till barn.

Barn kan tillhandahållas sociala insatser på frivillig eller tvingande väg, genom socialtjänstlagen respektive LVU. Insatserna ska i första hand vidtas på frivil-lig väg och socialnämnden har, i syfte att kunna stödja barn som är i behov av insatser men vars föräldrar inte samtycker till sådana, givits möjlighet att till-handahålla insatser till barn utifrån barnets eget samtycke. Sedan år 2023 kaChildren can be provided social assistance in a voluntary or an imperative manner through the Social Services Act or the Care of Young Persons Act, respectively. The social assistance should primarily be provided in a voluntary manner, and children can, for the purpose of aiding children in the absence of parental consent, be provided social assistance by giving consent through the Social Services

Short-Term Photovoltaic Power Forecasting Using Machine Learning in Data-Scarce Environments: A Case Study in Bhutan

This thesis proposes a multi-step methodology for short-term photovoltaic (PV) power forecasting in regions lacking extensive historical PV generation data, with a case study conducted in Dewathang, Bhutan. As Bhutan’s energy security faces increasing threats from climate change—primarily due to its heavy reliance on hydropower—there is growing national interest in diversifying energy sources, par

Detection of Acromegaly From Facial Images Using Machine Learning : A Comparison With Clinical Experts

Context Substantial diagnostic delay in acromegaly contributes to increased morbidity and mortality. Screening attempts in high-risk groups have yielded few positive cases, underscoring the need for simple and precise prescreening methods. Objective Machine-learning analysis of facial images shows promise for acromegaly detection but requires validation in larger, well-characterized cohorts using

Improvements of poly(3-hydroxybutyrate) production in an air-lift reactor using simple production media

Background: Halomonas boliviensis is a halophilic microorganism that accumulates poly(3-hydroxybutyrate) (PHB) using different carbons sources when nitrogen is depleted from the culture medium. This work presents an improved production of PHB using an air-lift reactor (ALR) that was fed with a concentrated solution of a carbon source, and was supplemented with an adequate airflow rate. Results: Si

Documented End-of-Life Preferences of People With Parkinson's Disease or Parkinsonism Across Europe

Background: Parkinson's disease and atypical parkinsonism are characterized by motor and non-motor symptoms. As the disease advances, planning for end-of-life (EoL) care becomes increasingly important. However, consensus-based European guidelines for advance care planning and documentation of EoL care preferences for parkinsonism are lacking. Understanding current documentation practices for EoL c

Using past performance as an award criterion in EU public procurement.

The outcome of a procurement process largely depends upon how it was designed e.g. the terms and conditions that evaluates on what criteria a supplier is awarded a contract. In private sector procurement, evaluation of past performance is natural part of the evaluation process procurement. In public procurement there are more limited possibilities to evaluate past performance based on the rules an

Extending the Lund-Malmö creatinine-based GFR equation to cystatin C–validation results from the European Kidney Function Consortium (EKFC) cohort of children and adults

The aim of the present study was to extend the creatinine-based Lund-Malmö GFR equation for use with rescaled cystatin C (r-LMRCys) and validate it against measured GFR (mGFR) in the EKFC cystatin C cohort of children (n = 2,293) and adults (n = 7,727). Rescaling was obtained by dividing each biomarker by a Q-value, representing the population-specific median biomarker level among healthy individu

Psychometric properties of the Swedish version of the SNAP-IV rating scale parent form in a birth cohort of 11-year-old children

OBJECTIVE: The primary aim of this study was to confirm the internal consistency and factor structure of the Swedish version of the Swanson-Nolan-Pelham scale fourth edition (SNAP-IV) for parents and to examine its clinical utility for identifying children diagnosed with attention deficit/hyperactivity disorder (ADHD).MATERIALS AND METHODS: Parents of 11-year-old children from a birth cohort in th

A multivariate Swedish national twin-sibling study in women of major depression, anxiety disorder, fibromyalgia, and irritable bowel syndrome

Background Functional Somatic Disorders (FSD) and Internalizing Psychiatric Disorders (IPD) are frequently comorbid and likely share familial/genetic risk factors. Methods We performed a Common Factor Multivariate Analysis of 2 FSDs, Fibromyalgia (FM) and Irritable Bowel Syndrome (IBS), and two IPDs, Major Depression (MD) and Anxiety Disorders (AD), in five kinds of Swedish female-female relative

Planar laser-induced fluorescence of HCO for instantaneous flame front imaging in hydrocarbon flames

The detection of the formyl radical (HCO) is of great interest in the field of combustion research since it can provide information about the local heat release (HR) rate which is a key parameter in the understanding of combustion processes. Unfortunately, due to the low signal level, HCO planar laser-induced fluorescence (PLTF) has so far not been applicable for single-shot imaging, which is nece