Results 111 to 120 of about 588,234 (256)

Factors affecting S1,S2

open access: yes
A hand drawn illustration labeled Factors affecting S1 ...

core  

PENGARUH KOMITMEN ORGANISASI, INTENSITAS MORAL, DAN SOSIALISASI ANTISIPATIF TERHADAP TINDAKAN WHISTLEBLOWING (Studi Empiris pada Alumni S1 Akuntansi Telkom University yang Lulus pada Tahun 2017-2019) [PDF]

open access: yes, 2020
Whistleblowing merupakan salahsatu cara yang efektif dalam pelaporan kasus kecurangan yang terjadi pada perusahaan, namun dalam praktiknya terdapat banyak resiko yang harus di terima oleh pelaku whistleblowing (whistleblower) yang menyebabkan gagalnya ...
MAULID ULIL BARKAH
core  

Secondary leukaemia after testicular germ cell tumour treatment: a systematic review and meta‐analysis

open access: yesBJU International, EarlyView.
Background Testicular germ cell tumours (TGCTs) are the most common malignancy in men aged 15–35 years. Management options for men with TGCTs include surgery, radiation and/or chemotherapy, depending on stage. Given TGCTs’ excellent survival, most patients live long enough to experience delayed treatment toxicities, warranting careful consideration of ...
Ahmad Mousa   +5 more
wiley   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

S1-nuclease pulsed-field gel electrophoresis (S1-PFGE) of the donor strain EC2189, trans-conjugant TcEC2189 and recipient C600.

open access: yes, 2018
(A) PFGE of genomic DNA digested with S1-nuclease. (B) Southern blot hybridisation of the PFGE gel with a blaNDM-1 specific probe. Lane M: Lambda ladder; Lane 1: EC2189; Lane 2: TcEC2189; Lane 3: C600.
Alafate Ayibieke (6111614)   +9 more
core   +1 more source

Preventable Dental Related Emergency Department Visits and Hospital Admissions: A Systematic Review of Economic Burden and Healthcare System Costs

open access: yesCommunity Dentistry and Oral Epidemiology, EarlyView.
ABSTRACT Objectives To systematically evaluate the economic burden of preventable dental‐related emergency department visits (PDEDV) and preventable dental‐related hospital admissions (PDHA), identify reasons for these presentations, and synthesise recommendations to reduce avoidable utilisation.
U. M. G. Sanketha Francis   +6 more
wiley   +1 more source

Underdiagnosed and Undertreated: Obesity and Its Cardiometabolic Burden in Swedish Clinical Practice—Insights From the AROS Database

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims To quantify real‐world diagnosis and treatment of obesity in Sweden, describe cardiometabolic comorbidity burden across obesity classes, and compare long‐term cardiovascular outcomes with the general population. Materials and Methods This population‐based cohort study used the AROS (Analysis of Real‐world data of patients with Obesity in ...
Viveca Ritsinger   +6 more
wiley   +1 more source

Farming system: A systemic solution to sustainable agricultural development

open access: yesFarming System, 2023
Hai-Lin Zhang, Yash Pal Dang, Liling Li
doaj   +1 more source

Variations in the Risk of New‐Onset Diabetes Following COVID‐19 Infection Across Body Mass Index, Deprivation, Ethnicity and Geographic Regions: Population‐Based Cohort Study in 42 Million People in England

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Evidence suggests that COVID‐19 may be associated with an increased risk of diabetes. We aimed to examine this association by investigating the role of socioeconomic and metabolic factors on the risk of new‐onset type 2 (T2D) and type 1 (T1D) diabetes after COVID‐19 diagnosis. Materials and Methods We conducted a retrospective, population‐
Sharmin Shabnam   +11 more
wiley   +1 more source

Proteomic Profiling Captures Residual Cardiovascular Risk Beyond the PREVENT Model in Individuals With Cardiovascular–Kidney–Metabolic Syndrome Stages 2–3

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Cardiovascular–kidney–metabolic (CKM) syndrome reflects complex pathobiological interactions among metabolic disorders, kidney injury, and cardiovascular disease (CVD). Stages 2 and 3 represent critical phases of disease progression characterised by high pathological heterogeneity.
Xuefei Han   +4 more
wiley   +1 more source

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