Targeting MAO-B with Small-Molecule Inhibitors: A Decade of Advances in Anticancer Research (2012–2024) by Iyman Alsaad, Diana M. A. Abdel Rahman, Ola Al-Tamimi, Shayma’a A. Alhaj, Dima A. Sabbah, Rima Hajjo, Sanaa K. Bardaweel

“…The reported literature underscores the therapeutic potential of MAO-B inhibitors as versatile anticancer agents, warranting further investigation to optimize their efficacy and specificity across various malignancies.…”
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Assessing Landsat Processing Levels and Support Vector Machine Classification by Nehad Al-Salmany, Taghreed A. Naji

“…The results highlight the critical role of preprocessing techniques and classifier selection in optimizing the classification processes and land cover mapping accuracy for remote sensing geospatial applications. …”
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The Stability-Indicating Ultra High-Performance Liquid Chromatography with Diode Array Detector and Tandem Mass Spectrometry Method Applied for the Forced Degradation Study of Ritl... by Jelena Kovačić, Daniela Amidžić Klarić, Nikša Turk, Željko Krznarić, Emma Riordan, Ana Mornar

“…Conclusions: The validated method reliably characterized ritlecitinib’s stability and degradation products, providing essential data for optimizing formulation, determining proper storage conditions, anticipating drug–excipient interactions, and ensuring quality control. …”
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Insights on nitrogen/oxygen dual defects synergistic modulated charge transfer across the g-C3N4/TiO2-NTAs heterojunction enhanced photodegradation and gas-sensing performances by Zhufeng Shao, Lue Zhan, Yiman Zhang, Yonglong Zhang, Guoyang Yu, Yunfei Song, Xiaoming Xiu

“…Furthermore, nanosecond time-resolved transient photoluminescence and time-resolved fluorescence spectroscopy analyses suggest a coherent interfacial charge transfer mechanism, which elucidates the dominant dynamic processes within the CN/TONTs nanostructure. The optimized CN/TONTs-5 nanocomposite was observed to achieve a remarkable 98.3% photodegradation rate of methyl orange under UV–visible light excitation, which was found to outperform CN/TONTs-2 and CN/TONTs-8 by factors of 1.36 and 1.12, respectively. …”
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Poly-ADP Ribosyl Polymerase 1 (PARP1) Regulates Influenza A Virus Polymerase by Liset Westera, Alisha M. Jennings, Jad Maamary, Martin Schwemmle, Adolfo García-Sastre, Eric Bortz

“…The host factor PARP1, a poly-ADP ribosyl polymerase, was required for optimal functions of human, swine, and avian influenza RdRP in human 293T cells. …”
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The NANOGrav 15 Yr Data Set: Removing Pulsars One by One from the Pulsar Timing Array by Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Bécsy, Laura Blecha, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, J. Andrew Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Heling Deng, Lankeswar Dey, Timothy Dolch, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Gabriel E. Freedman, Emiko C. Gardiner, Nate Garver-Daniels, Peter A. Gentile, Kyle A. Gersbach, Joseph Glaser, Deborah C. Good, Lydia Guertin, Kayhan Gültekin, Jeffrey S. Hazboun, Ross J. Jennings, Aaron D. Johnson, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Luke Zoltan Kelley, Matthew Kerr, Joey S. Key, Nima Laal, Michael T. Lam, William G. Lamb, Bjorn Larsen, T. Joseph W. Lazio, Natalia Lewandowska, Tingting Liu, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Chung-Pei Ma, Dustin R. Madison, Alexander McEwen, James W. McKee, Maura A. McLaughlin, Natasha McMann, Bradley W. Meyers, Patrick M. Meyers, Hannah Middleton, Chiara M. F. Mingarelli, Andrea Mitridate, Christopher J. Moore, Cherry Ng, David J. Nice, Stella Koch Ocker, Ken D. Olum, Timothy T. Pennucci, Benetge B. P. Perera, Nihan S. Pol, Henri A. Radovan, Scott M. Ransom, Paul S. Ray, Joseph D. Romano, Jessie C. Runnoe, Alexander Saffer, Shashwat C. Sardesai, Ann Schmiedekamp, Carl Schmiedekamp, Kai Schmitz, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Magdalena S. Siwek, Sophia V. Sosa Fiscella, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Abhimanyu Susobhanan, Joseph K. Swiggum, Stephen R. Taylor, Jacob E. Turner, Caner Unal, Michele Vallisneri, Alberto Vecchio, Sarah J. Vigeland, Haley M. Wahl, Caitlin A. Witt, David Wright, Olivia Young

“…We calculate the signal strength using the (noise-marginalized) optimal statistic, a frequentist metric designed to measure the correlated excess power in the residuals of the arrival times of the radio pulses. …”
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Associates of Cardiopulmonary Arrest in the Perihemodialytic Period by Jennifer E. Flythe, Nien-Chen Li, Shu-Fang Lin, Steven M. Brunelli, Jeffrey Hymes, Eduardo Lacson

“…Patient health markers and procedural factors are associated with peridialytic cardiopulmonary arrest. In addition to optimizing nutritional status, it may be prudent to limit exposure to low dialysate potassium (<2 K bath) and to use the lowest effective erythropoietin stimulating agent dose.…”
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Snow effects on brash ice and level ice growth by Vasiola Zhaka, Robert Bridges, Kaj Riska, Jonny Nilimaa, Andrzej Cwirzen

“…In both test channels, the brash ice growth model performed optimally, assuming a 10% expulsion of brash ice sideways at each vessel passage. …”
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Learning with semantic ambiguity for unbiased scene graph generation by Shanjin Zhong, Yang Cao, Qiaosen Chen, Jie Gong

“…This method assigns soft labels to samples exhibiting semantic ambiguities and optimizes model training by adjusting the loss weights for fine-grained and low-frequency relation samples. …”
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Development of Starter Cultures for Precision Fermentation of Kombucha with Enriched Gamma-Aminobutyric Acid (GABA) Content by Geun-Hyung Kim, Kwang-Rim Baek, Ga-Eun Lee, Ji-Hyun Lee, Ji-Hyun Moon, Seung-Oh Seo

“…To produce the GABA-fortified kombucha, selected single strains of <i>Acetobacter pasteurianus</i>, <i>Lactiplantibacillus plantarum</i>, and <i>Saccharomyces cerevisiae</i> were mixed and used as starter cultures. By optimizing the inoculation ratios and initial sugar concentration, a functional kombucha enriched with acetic acid, lactic acid, and GABA was successfully produced. …”
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Leiomyosarcoma of the Right Gonadal Vein: Review of the Approach and Prognostic in a Rare Case by Noa de la Fuente, Manuel Rodríguez Blanco, Gemma Cerdán, Antonio Moral, Vicenç Artigas

“…Although it was not used in this patient, the standard procedure for optimal survival is resection en bloc.…”
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Over‐The‐Top Technique for ACL Reconstruction: Advantages, Disadvantages, and Postoperative Complications by Haocheng Du, Lin Li, Ziwen Qin, Jiang Guo, Xintao Zhang

“…Currently, femoral tunnel failure is the most common cause of ACL reconstruction failure, which can lead to less than optimal postoperative performance of the ACL and a higher likelihood of needing a revision. …”
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Endoscopic Resection for Small Rectal Neuroendocrine Tumors: Comparison of Endoscopic Submucosal Resection with Band Ligation and Endoscopic Submucosal Dissection by Byoung Wook Bang, Jin Seok Park, Hyung Kil Kim, Yong Woon Shin, Kye Sook Kwon, Joon Mee Kim

“…There is no consensus so far regarding the optimal endoscopic method for treatment of small rectal neuroendocrine tumor (NET). …”
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Differential between-therapist effects in more versus less standardized therapies for depression by Anuj H. P. Mehta, Michael J. Constantino, Jack J. M. Dekker, Alice E. Coyne, Averi N. Gaines, Henricus L. Van, Jaap Peen, Frank J. Don, Ellen Driessen

“…Moreover, they highlight treatment standardization as one possible determinant of effectiveness differences, which necessitates determining for which therapists such standardization is most important for optimizing their patient’s outcomes.…”
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Bearing Fault Diagnosis Based on Collaborative Representation Using Projection Dictionary Pair by Dan Ma, Yixiang Lu, Yushun Zhang, Hua Bao, Xueming Peng

“…Second, under the similarity assumption, a dictionary pair learning strategy is employed to build an overcomplete dictionary pair, which is used to realize an optimal representation of the vibration signal. Meanwhile, the sparse constraint is also taken into account during dictionary training to enhance the robustness of the classification. …”
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Structural, Morphological and Thermal Properties of Kenaf Microcrystalline Cellulose/Poly (Butylene Adipate-Co-Terephthalate) Films for Packaging Applications by Aatikah Meraj, Ahmad Safwan Ismail, Mohammad Jawaid

“…SEM makes it evident that addition of MCC to PBAT influences the surface morphology, with an optimal range promoting mechanical adherence through roughness. …”
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Molecular network analysis for detecting HIV transmission clusters: insights and implications by Yangyang Liu, Lichun Hua, Wenqian Wu, You Ge, Wei Li, Pingmin Wei

“…With an accuracy of 86.25%, the optimal parameter for the phylogenetic tree and gene distance approach was 90 + 0.045 substitution/loci. …”
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Seasonal and Altitudinal Effects on Chemical Composition and Rumen Degradability of Blackberry Leaves in Northwestern Italian Alps by Sonia Tassone, Salvatore Barbera, Sara Glorio Patrucco, Hatsumi Kaihara, Khalil Abid

“…These insights offer crucial guidance for optimizing the utilization of the blackberry plant in goat feeding systems and underscores the necessity of considering both seasonal and altitudinal factors in grazing management practices.…”
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Towards Elimination of Mother-to-Child Transmission of HIV: The Impact of a Rapid Results Initiative in Nyanza Province, Kenya by Lisa L. Dillabaugh, Jayne Lewis Kulzer, Kevin Owuor, Valerie Ndege, Arbogast Oyanga, Evelyne Ngugi, Starley B. Shade, Elizabeth Bukusi, Craig R. Cohen

“…Many HIV-positive pregnant women and infants are still not receiving optimal services, preventing the goal of eliminating mother-to-child transmission (MTCT) and improving maternal child health overall. …”
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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

“…By combining predictive analytics with interpretable rule-based methods, this research provides actionable insights for optimizing patient flow and resource allocation. The findings highlight the importance of transparency in machine learning applications for healthcare, paving the way for future improvements in model performance and clinical adoption.…”
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