Results 271 to 280 of about 937,487 (377)

Temporomandibular Disorder in Domestic Waste Collectors: Cross‐Sectional Study

Journal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Musculoskeletal disorders are prevalent among waste collectors, yet the temporomandibular disorder (TMD) assessment within this group remains overlooked. Objective This cross‐sectional study examined TMD in domestic waste collectors and its association with their work. Methods The study involved 288 adult men from a waste collection
Patricia Ramos Cury, Nara Santos Araujo, Marcel Jhonnata Ferreira Carvalho, Mariana Carvalho Andrade, Daniel Araki Ribeiro, Jean Nunes dos Santos   +5 more
wiley   +1 more source

A longitudinal study depicting persistence of COVID-19 antibodies after half a year using chemiluminescent microparticle immunoassay among healthcare workers and frontline workers in Mumbai, India's largest metropoli. [PDF]

J Family Med Prim Care
Hadaye RS, Agrawal S, Gomare M, Shah D, Kasbe A, Shastri J, Khan G, Chandanshive P, Chatterjee N, Vijay VA.   +9 more
europepmc   +1 more source

Role and prognostic value of growth differentiation factor 15 in patient of heart failure with preserved ejection fraction: insights from the PURSUIT-HFpEF registry. [PDF]

Open Heart
Sakamoto D, Matsuoka Y, Nakatani D, Okada K, Sunaga A, Kida H, Sato T, Kitamura T, Tamaki S, Seo M, Yano M, Hayashi T, Nakagawa A, Nakagawa Y, Yasumura Y, Yamada T, Hikoso S, Sotomi Y, Sakata Y, OCVC-Heart Failure Investigators.   +19 more
europepmc   +1 more source

Does a Small Country Have Meaningful Regional Personality Differences? The Case of Estonia

Journal of Personality, EarlyView.
ABSTRACT Background Regional differences in the Big Five personality domains have been observed in several countries at different geographical granularities, often correlating with regional political, economic, social, and health (PESH) indicators.
Ling Xu, Friedrich M. Götz, Tobias Ebert, Siiri Silm, Uku Vainik, Wendy Johnson, René Mõttus   +6 more
wiley   +1 more source

Succeeding together: the power of collaboration between forensic and criminal intelligence. [PDF]

Forensic Sci Res
Tapps M, Piat O, Matte AA, Volery R.
europepmc   +1 more source

Organized Crime, Corruption, and Economic Growth

Journal of Regional Science, Volume 65, Issue 2, Page 535-560, March 2025.
ABSTRACT In this paper, we study the relationship between organized crime, corruption, and economic growth on a data set from Italian regions for the period 1996–2013. Our working hypothesis is that organized crime can embezzle part of the public expenditure aimed at productive uses by threatening and bribing public officers. To assess the consequences
Tamara Fioroni, Andrea Mario Lavezzi, Giovanni Trovato   +2 more
wiley   +1 more source

A multicentre prospective single-arm clinical trial to evaluate the treatment outcomes of prophylactic laparoscopic lateral pelvic lymph node dissection for advanced lower rectal cancer. [PDF]

Colorectal Dis
Hamabe A, Nishimura J, Suzuki Y, Yasui M, Ikenaga M, Tanida T, Yoshioka S, Ide Y, Takahashi Y, Takeyama H, Ogino T, Takahashi H, Miyoshi N, Fujii M, Ohno Y, Yamamoto H, Murata K, Uemura M, Doki Y, Eguchi H.   +19 more
europepmc   +1 more source

The Mafia's Economic Grip: Firm Efficiency and a Composite Indicator of Organized Crime

Journal of Regional Science, EarlyView.
ABSTRACT In Italy, organized crime poses a significant economic challenge as it reduces productivity and contributes to regional inequalities. This study investigates the influence of mafia activity on firm efficiency, with a specific focus on civil engineering companies. A composite indicator of organized crime was developed to measure its presence at
Antonio Fabio Forgione, Carlo Migliardo
wiley   +1 more source

COMPARATIVE LEGAL ANALYSIS OF THE MUNICIPAL POLICE ACTIVITIES OF EUROPEAN STATES AND EXPERIENCE OF UKRAINE

Victoria Pylyp
openalex   +1 more source

Multimodal artificial intelligence approaches using large language models for expert‐level landslide image analysis

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Climate change exacerbates natural disasters, demanding rapid damage and risk assessment. However, expert‐reliant analyses delay responses despite drone‐aided data collection. This study develops and compares multimodal AI approaches using advanced large language models (LLMs) for expert‐level landslide image analysis.
Kittitouch Areerob, Van‐Quang Nguyen, Xianfeng Li, Shogo Inadomi, Toru Shimada, Hiroyuki Kanasaki, Zhijie Wang, Masanori Suganuma, Keiji Nagatani, Pang‐jo Chun, Takayuki Okatani   +10 more
wiley   +1 more source