Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 5
Doktorska disertacija
Oznake: zagon bolezni;klinično izoliran sindrom;kognitivni procesi;delovni spomin;hoja;interakcije;paradigma dvojne naloge;
Ozadje: Pri četrtini bolnikov z multiplo sklerozo (MS) prvi zagon bolezni, ki ga imenujemo tudi klinično izoliran sindrom (angl. clinically isolated syndrome - CIS), predstavlja optični nevritis (ON). Pri več kot 50 % bolnikov s CIS lahko zaznamo težave z ravnotežjem ter kognitivnimi procesi vključn ...
Leto: 2018 Vir: Medicinska fakulteta (UL MF)
Izvirni znanstveni članek
Oznake: balance control;sensory integration;proprioception;motor impairments;fall prevention;neurological disorders;physical fatigue;
Introduction: Postural control impairments are common in patients with multiple sclerosis (MS), resulting in postural instability and increased fall risk. Sensory inputs are crucial to maintain balance adequately. Additionally, fatigue is one of the common and most disabling symptoms of MS, possibly ...
Leto: 2025 Vir: Repozitorij Univerze na Primorskem (RUP)
Magistrsko delo
Oznake: multipla skleroza;EPGT-test;ravnotežje;mišična jakost;magistrske naloge;
Leto: 2025 Vir: Fakulteta za vede o zdravju (UP FVZ)
Izvirni znanstveni članek
Oznake: lestvica poročanja o upoštevanju zdravil (MARS-5);dimetil fumarat;multipla skleroza;nove T2 MRI lezije;razmerje pokritih dni (PDC);vprašalnik o prepričanjih v zdravila (BMQ);validacija;konsistenca;test ponovnega testiranja;Medication Adherence Report Scale (MARS-5);dimethyl fumarate;multiple sclerosis;new T2 MRI lesions;Proportion of Days Covered (PDC);Beliefs in Medicines questionnaire (BMQ);validation;consistency;test-retest;
The 5-item Medication Adherence Report Scale (MARS-5) is a reliable and valid questionnaire for evaluating adherence in patients with asthma, hypertension, and diabetes. Validity has not been determined in multiple sclerosis (MS). We aimed to establish criterion validity and reliability of the MARS- ...
Leto: 2024 Vir: Fakulteta za elektrotehniko (UL FE)
Izvirni znanstveni članek
Oznake: modeliranje učinkovitosti PV;filtriranje podatkov;PV sistemi;strojno učenje;lightGMB;PV performance modelling;data filtering;PV systems;machine learning;lightGBM;
In photovoltaic (PV) systems, energy yield is one of the essential pieces of information to the stakeholders (grid operators, maintenance operators, financial units, etc.). The amount of energy produced by a photovoltaic system in a specific time period depends on the weather conditions, including s ...
Leto: 2020 Vir: Fakulteta za elektrotehniko (UL FE)
Št. zadetkov: 5
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: