by Tao Wang, HongZhu Chen, Basyarah Hamat, YanXiao Zhao
by Mujahid Abdullah, Taimoor Ahmad, Ayesha Khan, Twangar Kazmi, Faisal Sultan, Sabeen Afzal, Rana Muhammad Safdar, Adnan Ahmad Khan
by Justyna Michalska, Rafał Zając, Krzysztof Szydło, Dagmara Gerasimuk, Kajetan J. Słomka, Grzegorz Juras
by Jihane Belayachi, Majdouline Obtel, Abdelkader Mhayi, Rachid Razine, Redouane Abouqal
by Muhammad A. Razzaq, Muhammad Imran, Farhan Ahmad Atif, Rao Z. Abbas, Mughees A. Alvi, Ayman A. Swelum, Zia-ud-Din Sindhu, Muhammad K. Khan, Muhammad A. Sabir Mughal, Adil Khan, Wen-Feng Wu
by Giacomo Bilotti, Michael Kempf, Eljas Oksanen, Lizzie Scholtus, Oliver Nakoinz
by Shlomo Yaron Ishay, Muhammad Abu-Tailakh, Lior Raichel, Tal F. Hershenhoren, Menahem Matsa, Oren Lev-Ran, Sahar Gideon, Amos Douvdevani
by Hashem A. Kilani, Mo’ath F. Bataineh, Ali Al-Nawayseh, Khaled Atiyat, Omar Obeid, Maher M. Abu-Hilal, Taiysir Mansi, Maher Al-Kilani, Mahfoodha Al-Kitani, Majed El-Saleh, Ruba M. Jaber, Ahmad Sweidan, Mawaheb Himsi, Iyad Yousef, Faten Alzeer, Monther Nasrallah, Ayesha S. Al Dhaheri, Abdulsalam Al-Za’abi, Osama Allala, Laila Al-Kilani, Asma M. Alhasan, Mohamed Ghieda, Yasir Najah, Saad Alsheekhly, Ahmad Alhaifi, Raghda Shukri, Jamal Al Adwani, Mostafa Waly, Laila Kilani, Leen H. Kilani, Ahmad S. Читать дальше...
by Fernanda Castro Monteiro, Felipe de Oliveira Silva, Aline Josiane Waclawovsky, José Vinícius Alves Ferreira, Fabianna Resende de Jesus-Moraleida, Felipe Barreto Schuch, Philip B. Ward, Simon Rosenbaum, Rachel Morell, Lara Carneiro, Andrea Camaz Deslandes
by Fitriyadi Kusuma, Glenardi Glenardi, Ghea Mangkuliguna, Hariyono Winarto, Gatot Purwoto, Tofan Widya Utami, Tricia Dewi Anggraeni
by Abbas Al Mutair, Muna Al-Ghuraibi, Yasmine Alabbasi, Fatemah Alghadheeb, Alexander Woodman, Alya Elgamri
by Jake D. Mathewson, Linda van der Spek, Dunstan J. Matungwa, Anna Samson, Harry L.S. Coleman, Ente J. J. Rood
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by Marcos Antonio Bezerra-Santos, Valeria Zeni, Marco O. Pistillo, Stefano Bedini, Ilaria D’Isita, Giovanni Benelli, Giacinto Salvatore Germinara, Petr Volf, Domenico Otranto
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by David J. Diemert, Maria Zumer, Mark Bova, Christina Gibbs-Tewary, Elissa M. Malkin, Doreen Campbell, Lara Hoeweler, Guangzhao Li, Maria Elena Bottazzi, Peter J. Hotez, Jeffrey M. Bethony
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by Ryan J. Haasl, Bret A. Payseur
Advances in DNA sequencing technology and computation now enable genome-wide scans for natural selection to be conducted on unprecedented scales. By examining patterns of sequence variation among individuals, biologists are identifying genes and variants that affect fitness. Despite this progress, most population genetic methods for characterizing selection assume that variants mutate in a simple manner and at a low rate. Because these assumptions are violated by repetitive sequences... Читать дальше...
by Faye Orcales, Lucy Moctezuma Tan, Meris Johnson-Hagler, John Matthew Suntay, Jameel Ali, Kristiene Recto, Phelan Glenn, Pleuni Pennings
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by Ryohei Shibue, Tomoharu Iwata
Spike train modeling across large neural populations is a powerful tool for understanding how neurons code information in a coordinated manner. Recent studies have employed marked point processes in neural population modeling. The marked point process is a stochastic process that generates a sequence of events with marks. Spike train models based on such processes use the waveform features of spikes as marks and express the generative structure of the unsorted spikes without applying spike sorting. Читать дальше...
by Ethan Kulman, Rui Kuang, Quaid Morris
Phylogenies depicting the evolutionary history of genetically heterogeneous subpopulations of cells from the same cancer, i.e., cancer phylogenies, offer valuable insights about cancer development and guide treatment strategies. Many methods exist that reconstruct cancer phylogenies using point mutations detected with bulk DNA sequencing. However, these methods become inaccurate when reconstructing phylogenies with more than 30 mutations, or, in some cases, fail to recover a phylogeny altogether.
by Philip Cherian, Jayanta Kshirsagar, Bhavesh Neekhra, Gaurav Deshkar, Harshal Hayatnagarkar, Kshitij Kapoor, Chandrakant Kaski, Ganesh Kathar, Swapnil Khandekar, Saurabh Mookherjee, Praveen Ninawe, Riz Fernando Noronha, Pranjal Ranka, Vaibhhav Sinha, Tina Vinod, Chhaya Yadav, Debayan Gupta, Gautam I. Menon
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by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li
The 3D structure of RNA critically influences its functionality, and understanding this structure is vital for deciphering RNA biology. Experimental methods for determining RNA structures are labour-intensive, expensive, and time-consuming. Computational approaches have emerged as valuable tools, leveraging physics-based-principles and machine learning to predict RNA structures rapidly. Despite advancements, the accuracy of computational methods remains modest... Читать дальше...
Raptors drop to 7-25 after 10th-straight loss
The post Toronto drops NBA-worst 10th straight game in loss to Atlanta Hawks first appeared on Raptors Republic.
Sherman Oaks, CA - January 18: Harvard-Westlake High School guard Nikolas Khamenia, left, battles Notre-Dame High School point guard Angelino Mark for a loose ball during the first half at Notre Dame High School in Sherman Oaks, Wednesday, Jan. 18, 2023. Harvard-Westlake won 85-78 after two overtimes. | Allen J. Schaben / Los Angeles Times via Getty Images
The future Blue Devil is thriving in his senior season
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Gravitational waves could help us crack the case.
The company says it will improve in math, science, coding, and logic.
