Asirtmali Aba Wrestling in Turkish sports history and culture by Haci Sahın

“…In this research, historical and descriptive methods have been used; literature scan and method of interviewing experts in collecting data about aba wrestling have been employed.  Since it is widely performed in Gaziantep, an on-site survey has been done by visiting the province.…”
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Land Rights, Land Ownership, and Land Governance among Rural Communities in River Tana County, Kenya: A Gender Perspective by Wilson Ndenyele, Marie-Emmanuelle, Halimu Suleimani Shauri, Godffrey Nato

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Healthy Lifestyle Motivators of Willingness to Consume Healthy Food Brands: An Integrative Model by Elizabeth Emperatriz García-Salirrosas, Manuel Escobar-Farfán, Jorge Alberto Esponda-Perez, Miluska Villar-Guevara, Rafael Fernando Rondon-Eusebio, Ghenkis Ezcurra-Zavaleta, Elena Matilde Urraca-Vergara, Mauricio Guerra-Velásquez

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Critical assessment of uncertainty in economic evaluations on influenza vaccines for the elderly population in Spain by Raúl Ortiz-de-Lejarazu Leonardo, Javier Díez Domingo, Ángel Gil de Miguel, Federico Martinón Torres, Esther Redondo Margüello, Juan Luis López-Belmonte Claver, Paloma I. Palomo-Jiménez, J. Manel Farré Avellà, José María Abellán Perpiñán

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Sub-regional efforts to achieve gender equality in land ownership by Marcel Loyd MINKA

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Natural reproduction in tropical buffalo herds by Laura Gómez Estrada

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Rabies transmitted from vampires to cattle: An overview. by Diego Soler-Tovar, Luis E Escobar

“…We assessed the main patterns of rabies in cattle attributed to D. rotundus RABV across Latin America. Epidemiological data on rabies from Latin America were collected from the Pan American Health Organization spanning the 1970-2023 period. …”
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Mitogenomic Phylogenetic Analyses Reveal New Insights into the Taxonomy and Evolution of Parnassiinae Swallowtail Butterflies (Lepidoptera: Papilionidae) by Lu Song, Xiaoxiao Chen, Xiushan Li, Raul Narciso C. Guedes, Youssef Dewer, Suqin Shang, Jingjiang Zhou

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In silico identification of chilli genome encoded MicroRNAs targeting the 16S rRNA and secA genes of “Candidatus phytoplasma trifolii” by Vineeta Pandey, Aarshi Srivastava, Ramwant Gupta, Haitham E. M. Zaki, Haitham E. M. Zaki, Muhammad Shafiq Shahid, Rajarshi K. Gaur

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ADVERSE PREGNANCY OUTCOMES IN SICKLE CELL TRAIT: A PROSPECTIVE COHORT STUDY EVALUATING CLINICAL AND HAEMATOLOGICAL PARAMETERS IN POSTPARTUM MOTHERS AND NEW-BORNS. by r. Salam Al-Kindi

“…Subjects and methods – Pregnant women with (HbAS, n=34) and without (HbAA, n=60) SCT were recruited during their first trimester by El Obeid Hospital, Kordofan, Western Sudan. …”
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Immunizing adult female mice with a TcpA-A2-CTB chimera provides a high level of protection for their pups in the infant mouse model of cholera. by Gregory A Price, Randall K Holmes

“…All pups from dams immunized with the TcpA-A2-CTB chimera or the TcpA+CTB mixture survived at both challenge doses. …”
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Expression‐based machine learning models for predicting plant tissue identity by Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso

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Machine learning-based estimation of crude oil-nitrogen interfacial tension by Safia Obaidur Rab, Subhash Chandra, Abhinav Kumar, Pinank Patel, Mohammed Al-Farouni, Soumya V. Menon, Bandar R. Alsehli, Mamata Chahar, Manmeet Singh, Mahmood Kiani

“…In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil – nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs. …”
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PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation by Amr Magdy, Khalid N. Ismail, Marghny H. Mohamed, Mahmoud Hassaballah, Haitham Mahmoud, Mohammed M. Abdelsamea

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Characterization of the fungal genus Sphaerellopsis associated with rust fungi: species diversity, host-specificity, biogeography, and in-vitro mycoparasitic events of S. macroconi... by Paula Andrea Gómez-Zapata, Jorge Ronny Díaz-Valderrama, Samira Fatemi, Cristhian Orlando Ruiz-Castro, M. Catherine Aime

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Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application by Nadia Karina Portillo-Ortíz, Luis Raúl Sigala-González, Iván René Ramos-Moctezuma, Brenda Lizeth Bermúdez Bencomo, Brissa Aylin Gomez Salgado, Fátima Cristal Ovalle Arias, Irene Leal-Berumen, Edmundo Berumen-Nafarrate

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The variability and predictability of summer southwest monsoon intensity measurement index across mainland indochina: from local synoptic to large scale perspectives by Kyaw Than Oo, Yinshuo Dong, Kazora Jonah

“…Traditionally, the intensity of the MSwM has been challenging to quantify due to its complex nature. …”
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Resisting epistemic violence in global mental health: Listening to local understandings of mental health and emotional distress among victims and ex-guerrilla members in Southern C... by María Cecilia Dedios Sanguineti, Laura Fonseca, Rochelle A. Burgess, Natalia Concha, Mónica González, Norha Vera San Juan, Mónica Carreño, Kely Johana Palacio, María Fernanda Sotto, Sandra Jovchelovitch

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Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction by Tian Jing, Ru Chen, Chuanyu Liu, Chunhua Qiu, Chunhua Qiu, Cuicui Zhang, Mei Hong

“…Using satellite altimetry data and the Lagrangian single-particle method, we estimate eddy mixing ellipses across the global surface ocean, revealing substantial spatio-temporal variability. …”
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The significant role of IL-15, IL-22, IL-37, and caspase 9 in polycystic ovary syndrome: A case-control study in a sample of Iraqi women by Noor A. Mohammed, Ghassan M. Sulaiman, Hazima M. Alabassi, Khalil A.A. Khalil, Elsadig M. Ahmed

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