From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…We provide an open‐source code repository (GitHub website: https://github.com/XuanjunLu/PHBCP) to facilitate effective collaboration between medical and technical experts, thereby advancing the field of computational pathology in brain cancer.…”
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Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey by Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath

“…Recently, the integration of cutting-edge technologies, such as sensor-based product data acquisition and storage, data analytics, machine health management, artificial intelligence (AI)-driven scheduling, and human–robot collaboration (HRC), in remanufacturing procedures has received significant attention from remanufacturers and the circular economy community. …”
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Cellular S Values and DNA Damage Induced by 125I Auger Electron and Tritium β-rays by SHEN Jiangyan1, ZHU Kun1, LI Qing1, ZHANG Desong1, LI Junli2, 3, YAN Congchong1

Provider readiness and implementation barriers for lung cancer screening in a safety-net system by Maria C. Mejia, Yu-Heng Hilary Ma, Lisa M. Lowenstein, Kiara K. Spooner, Gabrielle Duhon, Elisa E. Douglas, Viola Leal, Robert J. Volk

“…Objective: Lung cancer screening (LCS) with low-dose computed tomography is a critical preventive strategy, yet implementation remains complex, particularly in safety-net settings. …”
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Cancer Moonshot Immuno-Oncology Translational Network (IOTN): accelerating the clinical translation of basic discoveries for improving immunotherapy and immunoprevention of cancer by Lawrence Fong, Song Liu, Eliezer Van Allen, Yi Xing, Ananth Annapragada, Andrew Sikora, Catherine Bollard, Jose Conejo-Garcia, Conrad Russell Cruz, Shadmehr Demehri, Michael Demetriou, Levon Demirdjian, Mary Horowitz, Alan Hutson, Kathryn Kadash-Edmondson, Donald Kufe, Steven Lipkin, Claire McCarthy, Martin Morgan, Zachary Morris, Yang Pan, Marcelo Pasquini, Stephen Schoenberger, Eduardo Vilar, Wenjuan Zha, Adekunle Odunsi

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Unlocking the African bioeconomy and strengthening biodiversity conservation through genomics and bioinformatics by Ichrak Hayah, Victor Ezebuiro, Samuel Paul Kagame, Josiah Ochieng Kuja, Cecilia Waruhiu, Lucky Tendani Nesengani, Sinebongo Mdyogolo, Annelin Henriehetta Molotsi, Priscilla Abechi, Asmaa Mohamed Abushady, Nabil Amor, Brian Andika, Abdelhamid Barakat, Girish Beedessee, Marietjie Botes, Xavier David, Nzube Ebuzoeme, Zewdu Edea, Achraf El Allali, Owanate Pearl Elekima, Assem Kadry Elsherif, Semir Bechir Suheil Gaouar, Yohannes Gedamu Gebre, Owunari Abraham Georgewill, Lydia Hadjeras, Mohammed Ahmed Hassan, Mohamed Hijri, Isidore Houaga, Justin Eze Ideozu, Matthias Igoh, Mary Paschal Iwundu, Syed Arif Sulthan Jaffer Ali, Atef Jaouani, Ahmed Marwane Kermouni Serradj, Radjaa Khedim, Mariëtte Kilian, Dennis Manthi Kivuva, Mehdi Knidiri, Komi Komi Koukoura, Eleojo Roseline Kwasi, Kim Labuschagne, Antoine Lusala Mafwila, Isabel Mensah, Uzoma Modebelu, Prudent Mokgokong, Morad M. Mokhtar, Sadik Muzemil, Helen Nigussie, Valentine Otang Ntui, Joel Ogwang, Nicholas Abraham Olivier, Olanrewaju Olufowobi, Taiwo Crossby Omotoriogun, Onikepe Folarin, Philomena Eromon, Jeremiah Orina, Faissal Ouardi, Tracy Parish, Mercy Peter, Jacques Potgieter, Fouzia Radouani, Madeleine Ramantswana, Shaimaa Roshdy Abdullah Reda, Samson Pandam Salifu, Sarah Bingaman Schwartz, Ntji Shabangu, Abdoallah Sharaf, Iyeopu Minakiri Siminialayi, Rae Marvin Smith, Hiroaki Taniguchi, Preye Maureen Tari-Ukuta, Kassahun Tesfaye, Fatim Zohra Tmimi, Libert Brice Tonfack, Ogbuagu Ugorji Udensi, Victoria Wavinya Wambua, Sammy Wambua, Kennedy Were, Timipanipiri ThankGod Wood, Bret Mark Wurdeman, Yedomon Ange Bovys Zoclanclounon, Andrews Frimpong Adu, Sotonye Leslie Gillis-Harry, Nicholas Kwasi-Do Ohene Opoku, Thendo Stanley Tshilate, Siyeofori Dede, Soala Obie Minimah, Yves Hermandez Tchiechoua, Andreas Gisel, Chadlia Hamdi, Tshepo Mafokwane, Blessing Adanta Odogwu, Gift Nwachukwu, Zahra Mungloo-Dilmohamud, Faten Ghodhbane-Gtari, Chinagorom Ibeachu, Renate Dorothea Zipfel, Wenceslaus C. Madu, Johnpaul Chukwudi Okorocha, Tracy Masebe, Kilsi Borgbara, Wynand Goosen, Suereta Fortuin, Kristien Nel Van Zyl, Ongeziwe Mbhele, Anise Happi, Christian Happi, Ntanganedzeni Mapholi, Julian Onyewuonyeoma Osuji, Anne WT Muigai, ThankGod Echezona Ebenezer, Bouabid Badaoui

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QCD predictions for simultaneously produced Higgs and vector bosons at $$\sqrt{s}$$ s = 13, 14, 27 and 100 TeV with a comprehensive study of systematic uncertainty and charge asymm... by Kamuran Dilsiz, Emrah Tiras, Meryem Yilmaz, Hasan Ogul

“…A simulation framework was built for the calculations at the TRUBA high-performance grid computing center. Then, the threshold values (selection cuts) close to the values used by the CMS and ATLAS Collaborations were selected and used on several parameters such as invariant mass, transverse momentum ( $$p_{T}$$ p T ), pseudorapidity ( $$\eta $$ η ), etc. …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

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LSKAFF-YOLO: Large Separable Kernel Attentional Feature Fusion Network for Transmission Tower Detection in High-Resolution Satellite Remote Sensing Images by Xiaojin Yan, Zhixuan Li, Yongjie Zhai, Ke Liu, Ke Zhang, Zhenbing Zhao

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Centering equity, diversity, and inclusion in youth digital mental health: findings from a research, policy, and practice knowledge exchange workshop by Medard Adu, Bilikis Banire, Bilikis Banire, Mya Dockrill, Alzena Ilie, Elizabeth Lappin, Patrick McGrath, Patrick McGrath, Samantha Munro, Kady Myers, Gloria Obuobi-Donkor, Rita Orji, Rebecca Pillai Riddell, Lori Wozney, Lori Wozney, Lori Wozney, Victor Yisa

“…Nine action recommendations focused on diversifying research and development funding, policy and standards, youth and community led promotion, long-term trust-building and collaboration, and needing to callout and advocate against unsafe digital services and processes.ConclusionKey policy, training and practice implications are discussed.…”
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Leveraging AI for early cholera detection and response: transforming public health surveillance in Nigeria by Adamu Muhammad Ibrahim, Mohamed Mustaf Ahmed, Shuaibu Saidu Musa, Usman Abubakar Haruna, Mohammed Raihanatu Hamid, Olalekan John Okesanya, Aishat Muhammad Saleh, Don Eliso Lucero-Prisno III

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Treatment options applied to the preclinical studies using animal models for Chagas Disease: a systematic review and meta-analysis [version 3; peer review: 2 approved] by Haruna Luz Barazorda-Ccahuana, Mayron Antonio Candia-Puma, Miguel Angel Chavez-Fumagalli, Luis Daniel Goyzueta-Mamani, Rodolfo Cordeiro Cordeiro Giunchetti, Ricardo Andrez Machado-de-Ávila, Alexsandro Sobreira Galdino, Brychs Milagros Roque-Pumahuanca, Eduardo Antonio Ferraz Coelho, Laura Yesenia Machaca-Luque

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Magnitude and associated factors of neonatal mortality among neonates admitted at Dessie comprehensive specialized hospital, Northeast, Ethiopia by Berhanu Adugna, Robel Asaminew, Getye Solomon Maru, Haimanot Ayele Eshetie, Endris Mohammed, Ayele Samuel, Abdulmelik Mekonnnen, Nurye Fentaw, Brhanu Belay, Adem Mekonen, Mengstie Nigussie, Fekadeselassie Belege Getaneh, Alemu Gedefie

“…Prematurity (ARR = 2.58, 95% CI: 1.39–4.87, P < 0.009), sepsis (ARR = 1.47 95% CI: 1.02–2.11, P < 0.036), birth asphyxia (3.59 = 4.36, 95% CI: 2.40–6.87, P < 0.008), and respiratory distress syndrome (ARR = 2.93, CI: 1.47–5.30, P = 0.011) were independent predictors of neonatal mortality.ConclusionThe magnitude of neonatal mortality was 10.2% which alarms the need of immediate collaborative actions for reduction of the burden particularly tackling on the causal factors such as prematurity, sepsis and birth asphyxia which leads adverse birth outcomes. …”
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Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma by Yun Liang, Yun Liang, Min He, Wenqing Chen, Wenqing Chen, Lizhen Li, Lizhen Li, Yumeng Dong, Yumeng Dong, Gang Liang, Hui Huangfu, Zengyu Jiang, Zengyu Jiang, Sheng He, Sheng He, Sheng He

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City information models for optimal EV charging and energy-resilient renaissance by Zhaohui Dan, Aoye Song, Yuyu Zheng, Xinyue Zhang, Yuekuan Zhou

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Best evidence summary of weight management in patients undergoing endocrine therapy for prostate cancer by ZHU Hanjing, GUO Yan, YIN Hongfan, WANG Beibei, XIE Juan, YANG Yan

“…The best evidence was summarized into 8 aspects: weight management assessment and monitoring, multidisciplinary collaboration, personalized support, family involvement strategies, nutrition management strategies, exercise management strategies, health education, and follow-up management.Conclusion·The best evidence for weight management during endocrine therapy for prostate cancer is summarized into eight aspects. …”
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Grading of clear cell renal cell carcinoma using diffusion MRI with a multimodal apparent diffusion model by Shuang Wang, Tuo Ji, Dan Yu, Yimeng Dai, Butian Zhang, Lin Liu

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Participatory science to complement professional data: Towards conservation of declining native freshwater fish, the crucian carp by Kiran Thomas, Lukáš Kalous, Marek Brabec, Petr Velenský, Milan Gottwald, Daniel Bartoň, Sandip Tapkir, Yevdokiia Stepanyshyna, Zuzana Šmejkalová, Marek Šmejkal

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Clinical course and management challenges in Lafora disease: a narrative analysis in an Apulian cohort by Giuseppe d’Orsi, Maria Teresa Di Claudio, Antonella Liantonio, Paola Imbrici, Cosimo Damiano Altomare, Orazio Palumbo, Pietro Palumbo, Mario Benvenuto, Nicola Gambacorta, Graziano Lolli, DEFEAT-LD study group, Massimo Carella

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Enabling high-throughput quantitative wood anatomy through a dedicated pipeline by Jan Van den Bulcke, Louis Verschuren, Ruben De Blaere, Simon Vansuyt, Maxime Dekegeleer, Pierre Kibleur, Olivier Pieters, Tom De Mil, Wannes Hubau, Hans Beeckman, Joris Van Acker, Francis wyffels

“…The pipeline consists of a collaborative robot (Cobot) with sander for surface preparation, a custom-built open-source robot for gigapixel imaging (Gigapixel Woodbot), and a Python routine for deep-learning analysis of gigapixel images. …”
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