Ovarian Stimulation in Patient-oriented Strategies Encompassing Individualised Oocyte Number-4 Category; Antagonist versus Short-agonist Protocols by Tarek K. Al-Hussaini, Ahmed Aboelfadle Mohamed, Ayman Askar, Ahmed A. Abden, Yousra M. Othman, Reda S. Hussein

“…Background: Recently POSEIDON (Patient-Oriented Strategies Encompassing Individualized Oocyte Number) classification was proposed to categorize patients with expected poor response to conventional stimulation. …”
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Risk Assessment of Soil Heavy Metals in the Jiahe River Basin of Yantai City, China by Xizhuo Chen, Pengfei Zhao, Jiaxin Huang, Jun Liu, Xiaoli Cao, Jing Che, Hui Liao, Xiaolong Zhu, Qingjie Gong

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Biosécurité et élevage de lapins en Algérie : analyse des pratiques adoptées face à la maladie hémorragique by Samia Maziz-Bettahar, Lynda Sahraoui, Hichem Lahouassa, Hacina Ainbaziz

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A Comprehensive Evaluation of Nutritional Quality and Antioxidant Capacity of Different Chinese Eggplant Varieties Based on Multivariate Statistical Analysis by Jian Lyu, Ning Jin, Xianglan Ma, Xueyun Yin, Li Jin, Shuya Wang, Xuemei Xiao, Jihua Yu

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Increased serum ferritin is associated with severity of orbital disease in COVID-19–associated rhino-orbito-cerebral mucormycosis: A quantitative analysis by Shashi Tanwar, Nibha Mishra, Prachi Sharma, Apjit Kaur

“…Stage 3 was further divided into four substages: 3a: nasolacrimal duct, medial orbit, vision unaffected (n = 4); 3b: diffuse orbital involvement (>1 quadrant or >2 structures), vision unaffected (n = 15); 3c: central retinal artery occlusion or ophthalmic artery occlusion, superior ophthalmic vein thrombosis, involvement of superior orbital fissure, inferior orbital fissure, orbital apex, diminution or loss of vision (n = 13); 3d: bilateral orbital involvement (n = 5). …”
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Evaluation of Rapeseed Leave Segmentation Accuracy Using Binocular Stereo Vision 3D Point Clouds by Lili Zhang, Shuangyue Shi, Muhammad Zain, Binqian Sun, Dongwei Han, Chengming Sun

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Morphological and endoscopic diagnostic criteria of serrated adenomas of the colon by A. M. Nechipay, M. V. Zobnina, L. M. Cherkasova, I. B. Perfilyev, V. A. Krivopuskov

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The Quality of Life in Heart Failure Reduced Ejection Fraction (HFrEF) Patients: A Phenomenon of Obesity Paradox by Yogi Puji Rachmawan, Witri Pratiwi, Helda Helda

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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

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Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT by Mahmoud Ragab, Mohammed Basheri, Nasser N. Albogami, Alanoud Subahi, Omar A. Abdulkader, Hashem Alaidaros, Hassan Mousa, Abdullah AL-Malaise AL-Ghamdi

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Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling by David Kim, Chad M. Vanderbilt, Soo-Ryum Yang, Subhiksha Nandakumar, Khedoudja Nafa, Rusmir Feratovic, Natasha Rekhtman, Ivelise Rijo, Jacklyn Casanova, Anita Yun, A. Rose Brannon, Michael F. Berger, Marc Ladanyi, Oscar Lin, Maria E. Arcila

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Dutch Validation of the Self-Evaluation of Negative Symptoms Scale (SNS) by Tim van Brouwershaven, Anika Poppe, Gerdina Hendrika Maria Pijnenborg, André Aleman, Nynke Boonstra, Shiral Gangadin, Sonia Dollfus, Wim Veling, Stynke Castelein, Jan Alexander de Vos, Edith Liemburg, PHAMOUS-researchers, Lisette van der Meer

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Urolithiasis complicated by chronic obstructive pyelonephritis in patients with concomitant diseases of the cardiovascular system by R. V. Royuk, S. K. Yarovoy, R. A. Khomov

“…The stages of CHF were determined in accordance with the Strazhesco-Vasilenko classification [N. D. Strazhesco, V. H. Vasilenko, 1935]. …”
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Colorectal Serrated Neoplasia: An Institutional 12-Year Review Highlights the Impact of a Screening Programme by A. J. McCarthy, S. M. O’Reilly, J. Shanley, R. Geraghty, E. J. Ryan, G. Cullen, K. Sheahan

“…Following consensus review, 13/520 (2.5%) SSL/Ps were downgraded from SSL/P with dysplasia to SSL/P without dysplasia. …”
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Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images by Shukuan Liu, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Feiyu Teng, Xiangnan Liu

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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

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Evaluation of double-balloon enteroscopy in the management of type 1 small bowel vascular lesions (angioectasia): a retrospective cohort study by Suleyman Dolu, Mehmet Emin Arayici, Soner Onem, Ilker Buyuktorun, Huseyin Dongelli, Goksel Bengi, Mesut Akarsu

“…The SBVLs were classified using the Yano et al. classification system. Among these, 62 patients with angioectasia who received endoscopic treatment were specifically analyzed. …”
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Serum N-Glycan Profiling Predicts Prognosis in Patients Undergoing Hemodialysis by Shingo Hatakeyama, Maho Amano, Yuki Tobisawa, Tohru Yoneyama, Megumi Tsushima, Kazuko Hirose, Takahiro Yoneyama, Yasuhiro Hashimoto, Takuya Koie, Hisao Saitoh, Kanemitsu Yamaya, Tomihisa Funyu, Shin-Ichiro Nishimura, Chikara Ohyama

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Prognostic risk factors of pneumonia associated with COVID-19 in patients with lymphoma by Dan Liu, Xia Yin, Hui Wang, Lijie Xing, Ping Li, Haichen Wei, Ji Ma, Qiang He, Linna Xie, Ke Lu, Zengjun Li

“…It is critical to identify patients at high risk of contracting COVID-19-associated pneumonia.MethodsFrom January 11–31, 2023, we distributed questionnaires to patients diagnosed with lymphoma according to 2016 World Health Organization diagnostic and classification criteria. COVID-19 infection was confirmed based on symptoms and laboratory tests. …”
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Solo Sonographically Guided PCNL under Spinal Anesthesia: Defining Predictors of Success by Akbar Nouralizadeh, Hamid Pakmanesh, Abbas Basiri, Mohammad Aayanifard, Mohammad Hossein Soltani, Ali Tabibi, Farzaneh Sharifiaghdas, Seyed Amir Mohsen Ziaee, Naser Shakhssalim, Reza Valipour, Behzad Narouie, Mohammad Hadi Radfar

“…The mean residual stone size was 13±8 mm. Logistic regression showed that a lower age and a larger stone burden significantly predicted positive residual stones. …”
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