This study investigates the surface energies and work function changes in ZnGaO(111) surfaces with different atomic terminations using ab initio density functional theory. It explores the interactions of gas molecules such as NO, NO, and CHCOCH with Ga-terminated, O-terminated, and Ga-Zn-O-terminated surfaces. This study reveals previously unreported insights into how O-terminated surfaces exhibit enhanced reactivity with NO, resulting in significant work function changes of +6.42 eV. In contrast, Ga-terminated surfaces demonstrate novel interactions with oxidizing gases, particularly NO, with a notable reduction in work function change of -1.63 eV, offering potential gas sensor technology advancements. Particularly notable is the Ga-Zn-O-terminated surface, which presents mixed characteristics influenced by the interplay of oxygen and metallic elements (gallium and zinc), leading to substantial work function changes of +4.97 eV for NO and +1.82 eV for NO, thereby significantly enhancing sensitivity. This study unveils the previously unexplored roles of Ga-Zn-O-terminated ZnGaO surfaces in optimizing semiconductor-based gas sensors, offering both oxidative and reductive potentials and making them versatile for diverse applications.
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http://dx.doi.org/10.3390/s25020548 | DOI Listing |
J Med Case Rep
January 2025
Bone and Joint Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Management of the extensive soft tissue injuries remains a significant challenge in orthopedic and plastic reconstructive surgery. Since the thumb is responsible for 40% of the functions of the hand, saving and reconstructing a mangled thumb is essential for the patient's future.
Case Presentation: This case report describes the management of a severe occupational thumb injury in a 25-year-old white Persian male who sustained an occupational injury to his left thumb, resulting in extensive burn, crush injury to the distal and proximal phalanx, and severe soft tissue damage to the first metacarpal, thenar, and palmar areas.
Biol Res
January 2025
Clinical Research Development Unit of Tabriz Valiasr Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.
Fluoride (F), as a natural element found in a wide range of sources such as water and certain foods, has been proven to be beneficial in preventing dental caries, but concerns have been raised regarding its potential deleterious effects on overall health. Sodium fluoride (NaF), another form of F, has the ability to accumulate in reproductive organs and interfere with hormonal regulation and oxidative stress pathways, contributing to reproductive toxicity. While the exact mechanisms of F-induced reproductive toxicity are not fully understood, this review aims to elucidate the mechanisms involved in testicular and ovarian injury.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Background: The prognostic value of Chlamydia pneumoniae (Cpn) infection in postoperative lung cancer patients remains unclear. This study aimed to evaluate the association between Cpn infection and survival in lung cancer patients.
Methods: This study included 309 newly diagnosed primary lung cancer patients from three hospitals in Fuzhou, China.
Eur Arch Otorhinolaryngol
January 2025
Faculty of Applied Sciences, Department of Accounting and Financial Management, Necmettin Erbakan University, Konya, Turkey.
Purpose: Vestibular neuritis (VN) is a common cause of vertigo with significant impact on patients' quality of life. This study aimed to analyze global research trends in VN using bibliometric methods to identify key themes, influential authors, institutions, and countries contributing to the field.
Methods: We conducted a comprehensive search of the Web of Science Core Collection database for publications related to VN from 1980 to 2024.
Sci Rep
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the effects of cohesion, passion and mental toughness on athlete engagement, this study utilizes the relevant methods of machine learning to construct a prediction model, so as to find the intrinsic connection between them.
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