Muslim Women Inmates and Religious Practices: What Are Possible Solutions? [PDF]
Garro M.
europepmc +1 more source
The study shows how major energy consumption in different sectors of Bangladesh's textile industry, driven by conventional electric motors, can be reduced by adopting Variable Speed Drives (VSD) and High‐Efficiency Motors (HEM). VSDs lower energy use through speed reductions of 20%, 40%, and 60%, while HEMs improve efficiency under motor loads of 50 ...
Mohammad Ahsan Habib +4 more
wiley +1 more source
Breast Milk Donation After Perinatal Loss: A Qualitative Exploration of Maternal Grief and Healing Among Israeli Arab Women and the Islamic Legal-Ethical Perspectives: A Qualitative Research Study. [PDF]
Tarabeih M, Yahya O, Sabbah M, Awawdi K.
europepmc +1 more source
Analysis of a Novel Brushless Doubly Fed Reluctance Generator Based Wind Energy Conversion System
BDFRG based grid connected wind energy conversion system. ABSTRACT This paper presents a grid connected Brushless Doubly‐Fed Reluctance Generator (BDFRG) based wind energy conversion system. It offers a reliable and cost‐effective solution since its brushless and cage‐less rotor structure eliminates the need for slip rings, reducing maintenance costs ...
Subir Datta +6 more
wiley +1 more source
Graph metadata dataset from grouped botnet network activities. [PDF]
Putra MAR +3 more
europepmc +1 more source
Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence
Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek +3 more
wiley +1 more source
Medical Students' Reflections on Racism in German Healthcare and Its Alignment With National Data: A Qualitative Case Study Using the Example of Muslim Patients. [PDF]
Mauntel A, Settmacher U, Tekbaş A.
europepmc +1 more source
Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem +3 more
wiley +1 more source
Qualitative evaluation of two London Faith and Health Networks: lessons learnt from a model of an interface between health systems and minority communities. [PDF]
Zuriaga-Alvaro A +4 more
europepmc +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source

