Results 201 to 210 of about 15,840 (305)

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Reconstructing the earliest known composite-tiled roofs from the Chinese Loess Plateau. [PDF]

Sci Rep, 2023
Xu Y, Zhou J, Zhao J, Chen G, Li W, Ma M, Monteith F, Liu S, Peng M, Bevan A, Zhang H.   +10 more
europepmc   +1 more source

Genomic Insights Into Spatiotemporal Dynamics of Acquired Azithromycin Resistance Genes in Salmonella Strains Worldwide

Food Safety and Health, EarlyView.
ABSTRACT Azithromycin has been used for clinical invasive infections caused by fluoroquinolone‐ and third‐generation cephalosporin‐resistant Salmonella, and mass drug administration with azithromycin has been used to reduce under‐5 mortality in children in some countries.
Yuhang Pei, Mengqi Qu, Ziru Yang, Xuebin Xu, Yanan Wang   +4 more
wiley   +1 more source

Postpartum anemia and maternal wellbeing: A cohort analysis of the WOMAN‐2 trial

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective We examined the association between postpartum anemia and maternal wellbeing in women who gave birth with anemia. Methods We conducted a cohort analysis using secondary data from the WOMAN‐2 trial. Between August 2019 and September 2023, women with moderate or severe anemia who were giving birth vaginally were recruited from ...
The WOMAN‐2 Trial Collaborators, Judith Lieber, Katharine Ker, Folasade Adenike Bello, Rizwana Chaudhri, Kiran Javaid, Aasia Kayani, Mwansa Ketty Lubeya, Projestine Muganyizi, Oladapo Olayemi, Bellington Vwalika, Monica Arribas, Eni Balogun, Amy Brenner, Amber Geer, Poppy Mallinson, Raoul Mansukhani, Danielle Prowse, Haleema Shakur‐Still, Ian Roberts, France Donnay, Racheal Phiri, Tina Lavender, Ghazala Mahmud, Haleema Shakur‐Still, Ian Roberts, Jens Kieckbusch, James Lawrence, Sari Watson, Jane Armitage, Maria Quigley, Olufemi T. Oladapo, Sabaratnam Arulkumaran, Imelda Bates, Rizwana Chaudhri, Bukola Fawole, Katharine Ker, Ian Roberts, Haleema Shakur‐Still, Eni Balogun, Danielle Prowse, Danielle Beaumont, Charlotte Fleming, Monica Arribas, Collette Barrow, Llion Roberts, Amber Geer, Julio Gil Onandia, Madeleine Cargill, Andrew Thayne, Christiana Alao, Petula Buck, Raoul Mansukhani, Tim Collier, Katharine Ker, Mbwana Mohammed, Amy Brenner, Myriam Benyahia, Judith Lieber, Haleema Shakur‐Still, Ian Roberts, Rizwana Chaudhri, Aasia Kayani, Kiran Javaid, Projestine Muganyizi, Alice Kawala, Rose Temba, Oladapo Olayemi, Folasade Adenike Bello, Olujide Okunade, Bellington Vwalika, Aziz‐un‐Nisa Abbasi, Ruqqia Sultana, Shehla Noor, Ansa Islam, Sadia Bibi, Sundus Khan, Wajeeha Khurshid, Shahida Magsi, Basma Zia, Haleema Yasmin, Khadija Bano, Saba Khan, Naheed Fatima, Bushra Sher Zaman, Sohail Mahmood Chaudhry, Shakila Yasmin, Khiaynat Sarwar Hashmi, Nadia Babar, Arif Tajammul, Alia Bashir, Farah Siddique, Fouzia Perveen, Nusrat Shah Kamal, Riffat Jaleel, Sarah Kazi, Aruna Hira, Pushpa Makhija, Syeda Batool Mazhar, Nasira Tasnim, Saera Afghan, Mussarat Batool, Sobia Luqman, Fouzia Kashif, Shaista Hifaz Abro, Javeria Abro, Najma Ghaffar, Rakhshanda Mushtaq, Safia Bibi, Shamsa Humayun, Zohra Khanum, Noreen Akmal, Shamila Ijaz Munir, Aisha Malik, Amna Zia Eusaph, Sofia Manzoor, Khola Yousaf, Misbah Kausar, Yasmeen Waqas, Naila Ehsan, Aisha Siddiqa, Uzma Suhail Afridi, Nosheen Sikandar, Rehana Kamaal, Mehnaz Khakwani, Rashida Perveen, Huma Quddusi, Hajira Masood, Syeda Ali, Asma Akhter, Mubashra Samina, Sana Ishfaque, Rizwana Chaudhri, Humaira Bilqis, Shahid Irshad Rao, Saima Ashraf, Uzma Shaheen, Tayyiba Wasim, Natasha Rasool, Nabeela Waheed, Khansa Iqbal, Shahida Husain Tarar, Rizwana Khalid, Rubina Sohail, Shehla Kanwal, Shagufta Saeed Sial, Humera Noreen, Naila Israr, Shehla Baqai, Asifa Siraj, Luzango Maembe, Julius Nyambarino, Enid Simon Chiwanga, Lazaro Y. Madeha, Francis Ngimwichi Joseph, Evelyne Ludovick, Baya H. Kissiwa, Sangalala Mtingele, Vincent Tarimo, Alfred Secha, Hudson August Manyanga, Idrisa Hussein, Alphonce Moyo, Delila Msigwa, France John Rwegoshora, Delfina Mkenda, Mojisola Mobolaji‐Ojibara, Michael Babalola, Owa Olorunfemi Oludele, Samuel Ojo, Oladipo Aremu, Kehinde Ogundairo, Oyewole Tunde Aremu, Gazaal Rasheedat, Iman Usman, Auwal Shuaibu, Adewale Adeyemi, Olufemi Aworinde, Theresa Irinyenikan, Mwansa Ketty Lubeya, Kenneth Chanda   +180 more
wiley   +1 more source

Navigating ESG in the Artificial Intelligence Era: Evidence From AI Pilot Zones in China

International Studies of Economics, EarlyView.
ABSTRACT Artificial intelligence is reshaping business models, but limited literature explores how ESG evolves in the AI era. This paper regards AI Pilot Zones in China as a quasi‐natural experiment, and adopts the DID approach to investigate its impact on corporate ESG performance. Using the sample of Chinese A‐share listed companies from 2016 to 2022,
Yujie Liu, Xinyi Shen
wiley   +1 more source

Workforce Representation and Service in Shortage Areas: Outcomes of a HBCU College of Dentistry, Class 2004–2023

Journal of Dental Education, EarlyView.
ABSTRACT Purpose This study examines Howard University College of Dentistry's (HUCD) contributions to dental education, focusing on its role in strengthening workforce representation, expanding access to care in dental health professional shortage areas (DHPSAs) and medically underserved areas (MUAs), and addressing persistent oral health disparities ...
Marzia Mustamand, Minxuan Lan, Esther Childers, Cheryl Fryer, Kingsley Kanjin, Emma Ta‐Zhou, Najah Abduh, Whittley Deleveaux, Raheem Pierre, Gail Cherry‐Peppers, Reginald Salter, Deborah Nixon‐Willis, Tanya Greenfield, Dexter Woods, Andrea Jackson, Xinbin Gu   +15 more
wiley   +1 more source

Igniting Technological and Non‐Technological Innovation for Economic Performance: Enhancing Results by Investing in Human Capital

Strategic Change, EarlyView.
ABSTRACT This study investigates how strategic renewal, driven by the interaction among technological, marketing, and organizational innovation, enhances firms' economic performance. Using a panel dataset of 8871 Spanish firms covering the period 2009–2016, we provide empirical evidence on the different effects of each type of innovation and their ...
Beatriz Forés, José María Fernández‐Yáñez, Olga Broto, Andreas Kallmuenzer   +3 more
wiley   +1 more source

Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley   +1 more source

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

Sustainable Metal Recovery From E‐Waste: Exploring Greener Leachates in Hydrometallurgical Processes

MetalMat, EarlyView.
Recycling of electronic waste to synthesize valuable metals using green leachate. ABSTRACT The accumulation of electronic waste (e‐waste) poses environmental hazards and leads to the loss of valuable metals such as gold, silver, copper, and rare earth elements.
Shassatha Paul Saikat, Nazim Uddin, Md. Kawsar, Samina Ahmed, Md. Sahadat Hossain   +4 more
wiley   +1 more source