Advancements in green diesel production for energy sustainability: a comprehensive bibliometric analysis.

Green diesel as a second-generation biofuel has received enormous attention owing to the huge demand for renewable fuel for addressing the net zero target in 2050. This study examines the development of green diesel research through a bibliometric analysis. The state-of-the-art green diesel research is studied based upon 1285 documents (1153 articles and 132 reviews) retrieved from the Scopus database related to the used keywords.

Methallylsulfonate Polymeric Antiscalants for Application in Thermal Desalination Processes.

Nine copolymers of acrylic acid and sodium methallyl sulfonate were tested as scale inhibitors in thermal desalination. The nine antiscalants covered molar masses between 2000 and 9500 g.mol and concentrations of sulfonated monomer ranging between 10 and 30 mole percent.

Intracranial Cysts: A Single-Institution Experience With 27 Surgically Managed Cases.

Introduction Intracranial cysts (ICs) are rare pathologies that are often found incidentally during radiological examinations. They may appear in various brain regions and are categorized as normal, congenital, traumatic, or tumor-associated variants. ICs can be asymptomatic or cause symptoms, such as headaches, visual impairments, or seizures, depending on their size and location.

Electronic properties of single vacancy defect in boron nitride nanoribbons with edge perturbation.

Two-dimensional material hexagonal boron nitride (h-BN), and its one-dimensional thin strips, boron nitride nanoribbons (BNNRs) are electrically insulating with high thermal stability, making them excellent thermal conductors suitable for high-temperature application. BNNRs are wide bandgap semiconductors with bandgaps ranging from 4 to 6 eV. This study investigates the electronic properties of BNNRs with single vacancy defects in armchair and zigzag configurations.

ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory.

Sentiment analysis also referred to as opinion mining, plays a significant role in automating the identification of negative, positive, or neutral sentiments expressed in textual data. The proliferation of social networks, review sites, and blogs has rendered these platforms valuable resources for mining opinions. Sentiment analysis finds applications in various domains and languages, including English and Arabic.