Digital Commons Network^™

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Hongyu Wang, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

A Follow-Up Study On The Novel Use Of Contrast-Enhanced Susceptibility-Weighted Imaging For Extremity Desmoid Fibromatosis Response Assessment, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Ken-Pin Hwang, R Jasson Stafford, Ravin Ratan, John E Madewell, Dejka Araujo, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Desmoid tumors are rare mesenchymal neoplasms characterized by a clonal proliferation of fibroblasts and myofibroblasts. Using the novel contrast-enhanced susceptibility-weighted imaging (CE-SWI) for characterizing desmoid tumors can enhance the separation between fibrous T2-hypointense and cellular T1-enhancing components. We aim to evaluate the effectiveness of the CE-SWI signal, volumetric, and radiomics-derived features in assessing desmoid treatment response. This IRB-approved study included 17 single-lesion extremity desmoid fibromatosis patients who underwent standard-of-care MRI, including CE-SWI, from March 2021 to February 2024. Measurements of maximum diameter, volume, and the modified Choi (m-Choi: tumor/muscle T2 ratio) were computed based on CE-SWI and T2-STIR volumetric tumor …

Kap1 Promotes Gastric Adenocarcinoma Progression By Activating Hippo/Yap1 Signaling Via Binding To Hnrnpab, Shumei Song, Yibo Fan, Gengyi Zou, Longfei Huo, Janani Kumar, Ruiping Wang, Jiankang Jin, Ailing W Scott, Shan Shao, Melissa Pool Pizzi, Jody V Vykoukal, Hiroyuki Katayama, Samir Hanash, George A Calin, Xing Zhang, Min Gyu Lee, Zhenning Wang, Yuan-Hung Lo, Qiong Gan, Rebecca E Waters, Feng Yin, Linghua Wang, Xiaodong Cheng, Jaffer A Ajani, Shilpa S Dhar

Faculty, Staff and Student Publications

Gastric adenocarcinoma (GAC) remains a significant global health challenge, with over a million new cases annually. Peritoneal carcinomatosis (PC), detected in ∼20 % of cases at diagnosis and ∼45 % later, is uniformly fatal, with limited treatment options. This study investigated the role of KAP1 in GAC progression, focusing on its interaction with YAP1 and cancer stemness traits. Analysis of over 596 primary GACs and 72 PC samples revealed that high nuclear KAP1 expression correlates with poor prognosis. KAP1 knockdown reduced oncogenic activity and stemness traits in GAC cells. Mechanistically, KAP1 positively regulates YAP1 transcription by binding to its promoter …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Adrian Coria Medrano, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

Non-Invasive Tools For Analysis Of Plasma Membrane Protein Topology In Living Cells, Daria Savenkova, Leysan Bulatova, Vera Skripova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Membrane protein topology studies offer guidance to membrane protein structure, folding, and function, serving as a credible scaffold for designing site-directed mutagenesis and biochemical experiments, helping to identify functionally significant extracellular and intracellular regions, modeling three-dimensional structures, and building reliable mechanistic models. Membrane protein structure as a function of given lipid composition and physiological state of the cell is best probed in whole intact cells. A described simple and advanced immunofluorescence protocol applied to the transmembrane orientation of extramembrane domains permits a topology analysis of plasma membrane proteins in their native state in living unperturbed eucaryotic cells. The accessibility of …

Practical Considerations For Using The Tite-Boin Design To Handle Late-Onset Toxicity Or Fast Accrual In Phase I Trials, Kai Chen, Ting-Yu Chen, Yiming Zhang, Ruitao Lin, Ying Yuan

Faculty, Staff and Student Publications

Conducting phase I trials is particularly challenging when dealing with late-onset dose-limiting toxicity (DLT) or when patient accrual is rapid relative to the DLT assessment window. In such cases, a new cohort may be ready for enrollment before the DLT assessments are complete for the current cohort, complicating dose assignment decisions. The time-to-event Bayesian optimal interval (TITE-BOIN) design was developed to address this issue by enabling real-time dose assignment for new cohorts, even when some enrolled patients' DLT data are still pending. This design has been increasingly adopted in practice. Upon reviewing trial protocols utilizing TITE-BOIN, we observed considerable variation …

Blood Bacterial Dna Signatures In A Prospective Cohort Of Patients With Masld Cirrhosis, Suet-Ying Kwan, Lillian I Dolapchiev, Caren I Sanchez, Tiffany L Calderone, Jessica I Sanchez, Ahmed El Sabagh, Nakul Gupta, Prasun K Jalal, David W Victor, Laura Beretta

Faculty, Staff and Student Publications

Background: Predictive biomarkers are needed to identify individuals with metabolic dysfunction-associated steatotic liver disease (MASLD), at high risk for HCC. Our study aimed to determine whether the detection of circulating bacterial DNA could be associated with HCC development in MASLD patients with liver cirrhosis.

Methods: We developed a multicenter prospective cohort of patients with cirrhosis undergoing surveillance for HCC by contrast-enhanced magnetic resonance imaging. In a nested cohort study, we performed 16S rRNA sequencing of cell-free DNA extracted from 343 longitudinal plasma samples collected from 151 MASLD patients with cirrhosis. Among the 151 patients, 25 developed HCC during follow-up.

Results: …

Utility Of The Us Preventive Services Task Force For Preeclampsia Risk Assessment And Aspirin Prophylaxis, Thomas F Mcelrath, Arun Jeyabalan, Arkady Khodursky, Alison B Moe, Manfred Lee, Laura Goetzl, Pamela M Simmons, George R Saade, Antonio Saad, Luis D Pacheco, Esther Park-Hwang, Antonina I Frolova, Ebony B Carter, Ai-Ris Y Collier, Daniel G Kiefer, Vincenzo Berghella, Rupsa C Boelig, Michal A Elovitz, Cynthia Gyamfi-Bannerman, Joseph R Biggio, Kara Rood, William A Grobman, Carrie Haverty, Morten Rasmussen

Faculty, Staff and Student Publications

Importance: The US Preventive Services Task Force (USPSTF) guidelines on preeclampsia risk assessment and aspirin prophylaxis (AP) have not been evaluated for clinical utility.

Objective: To evaluate which characteristics in the USPSTF guidelines identify risk status and the association of preeclampsia risk with AP recommendations.

Design, setting, and participants: This observational cohort study enrolled from July 2020 to March 2023 with data analysis performed from October to December 2024. Enrollment occurred at 11 centers throughout the US or via direct-to-participant recruitment. Pregnant participants aged 18 years or older with a singleton pregnancy less than 22 weeks' gestation were selected via …

Crem Is A Regulatory Checkpoint Of Car And Il-15 Signalling In Nk Cells, Hind Rafei, Rafet Basar, Sunil Acharya, Yu-Sung Hsu, Pinghua Liu, Toszka Bohn, Vakul Mohanty, Ranjan Upadhyay, Ping Li, Pravin Phadatare, Merve Dede, Donghai Xiong, Huihui Fan, Corry Mathew Jones, Sebastian Kunz, May Daher, Ana Karen Nunez Cortes, Mayra Shanley, Bin Liu, Sadie Mae Moseley, Chenyu Zhang, Dexing Fang, Pinaki Banerjee, Nadima Uprety, Ye Li, Rejeena Shrestha, Xinhai Wan, Hong Shen, Vernikka Woods, April Lamour Gilbert, Seema Rawal, Jinzhuang Dou, Yukun Tan, Jeong-Min Park, Francia Reyes Silva, Alexander Biederstädt, Mecit Kaplan, Xin Ru Jiang, Inci Biederstädt, Bijender Kumar, Silvia Tiberti, Madison Moore, Jingling Jin, Ryan Z Yang, Luis Muniz-Feliciano, Samuel Rosemore, Paul Lin, Gary M Deyter, Natalie Wall Fowlkes, Abhinav K Jain, David Marin, Anirban Maitra, Ken Chen, Tobias Bopp, Elizabeth J Shpall, Katayoun Rezvani

Faculty, Staff and Student Publications

Chimeric antigen receptor (CAR) natural killer (NK) cell immunotherapy offers a promising approach against cancer1-3. However, the molecular mechanisms that regulate CAR-NK cell activity remain unclear. Here we identify the transcription factor cyclic AMP response element modulator (CREM) as a crucial regulator of NK cell function. Transcriptomic analysis revealed a significant induction of CREM in CAR-NK cells during the peak of effector function after adoptive transfer in a tumour mouse model, and this peak coincided with signatures of both activation and dysfunction. We demonstrate that both CAR activation and interleukin-15 signalling rapidly induce CREM upregulation in NK cells. Functionally, CREM …

Pathologist-Read Vs Ai-Driven Assessment Of Tumor-Infiltrating Lymphocytes In Melanoma, Thazin N Aung, Matthew Liu, David Su, Saba Shafi, Ceren Boyaci, Nikolaos Tsiknakis, Nigel Maher, Goran Micevic, Samuel X Tan, Matthew D Vesely, Saeed Nourmohammadi, Yalai Bai, Dijana Djureinovic, Pok Fai Wong, Katherine Bates, Nay N N Chan, Niki Gavirelatou, Mengni He, Sneha Burela, Robert Barna, Martina Bosic, Konstantin Bräutigam, Irineu Illabochaca, Zhou Chenhao, Joao Gama, Bianca Kreis, Reka Mohacsi, Nir Pillar, Joao Pinto, Christos Poulios, Maria Angeliki Toli, Evangelos Tzoras, Yadriel Bracero, Francesca Bosisio, Gábor Cserni, Alis Dema, Francesco Fortarezza, Mercedes Solorzano Gonzalez, Irene Gullo, Francisco Javier Queipo Gutiérrez, Ezgi Hacihasanoglu, Viktor Jovic, Bianca Lazar, Maria Olinca, Christina Neppl, Rui Caetano Oliveira, Federica Pezzuto, Daniel Gomes Pinto, Vanda Plotar, Ovidiu Pop, Tilman Rau, Kristijan Skok, Wenwen Sun, Ezgi Dicle Serbes, Wiebke Solass, Olga Stanowska, Marcell Szasz, Krzysztof Szymonski, Franziska Thimm, Danielle Vignati, Alon Vigdorovits, Victor Prieto, Tobias Sinnberg, James Wilmott, Shawn Cowper, Jonathan Warrell, Yvonne Saenger, Johan Hartman, Jasmine Plummer, Iman Osman, David L Rimm, Balazs Acs

Faculty, Staff and Student Publications

Importance: Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin-stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approaches that produce more reliable and consistent readouts is important.

Objective: To evaluate the analytical and clinical validity of a machine learning algorithm for TIL quantification in melanoma compared with traditional pathologist-read methods.

Design, setting, and participants: This multioperator, global, multi-institutional prognostic study compared TIL scoring reproducibility between traditional pathologist-read methods and an artificial intelligence (AI)-driven approach. The …

Heat Shock Induces Alternative Polyadenylation Through Dynamic Dna Methylation And Chromatin Looping, Emily E Fink, Yi Zhang, Briana Santo, Anwita Siddavatam, Rosie Ou, Byron H Lee

Faculty, Staff and Student Publications

Alternative cleavage and polyadenylation (APA) is a gene regulatory mechanism used by cells under stress to upregulate proteostasis-promoting transcripts, but how cells achieve this remains poorly understood. Previously, we elucidated a DNA methylation-regulated APA mechanism, in which gene body DNA methylation enhances distal poly(A) isoform expression by blocking CCCTC-binding factor (CTCF) binding and chromatin loop formation at APA control regions. We hypothesized that DNA methylation-regulated APA is one mechanism cells employ to induce proteostasis-promoting poly(A) isoforms. At the DNAJB6 cochaperone locus, acute heat shock resulted in binding of stress response transcription factors heat shock factor 1, ATF6, and YY1 at …

Semi-Automated Hippocampal Avoidance Whole-Brain Radiotherapy Planning, Dong Joo Rhee, Subha Perni, Kelly J Perrin, Kevin E Casey, Alexandra O Leone, Laurence E Court, Xin Wang, Eun Young Han

Faculty, Staff and Student Publications

Background: Hippocampal avoidance whole-brain radiotherapy (HA-WBRT) is designed to spare cognitive function by reducing radiation dose to the hippocampus during the treatment of brain metastases. Current manual planning methods can be time-consuming and may vary in quality, necessitating the development of automated approaches to streamline the process and ensure consistency.

Purpose: To automate hippocampal avoidance whole-brain radiotherapy (HA-WBRT) planning.

Methods: Our algorithm automatically contours organs-at-risk (OARs) and the hippocampal-avoidance brain target. The algorithm generates planning structures from given contours, utilizing preset beam parameters and dose constraints for optimization. If the dose constraints are unmet, "hotspot" contours will be created to …

Autologous T Cell Therapy For Prame, Martin Wermke, Dejka M Araujo, Manik Chatterjee, Apostolia M Tsimberidou, Tobias A W Holderried, Ran Reshef, Winfried Alsdorf, Katrin Wetzko, Peter Brossart, Katrin Aslan, Linus Backert, Sebastian Bunk, Jens Fritsche, Swapna Gulde, Silvana Hengler, Norbert Hilf, Mohammad B Hossain, Jens Hukelmann, Mamta Kalra, Delfi Krishna, M Alper Kursunel, Dominik Maurer, Andrea Mayer-Mokler, Regina Mendrzyk, Ali Mohamed, Karine Pozo, Arun Satelli, Marilena Letizia, Heiko Schuster, Oliver Schoor, Claudia Wagner, Hans-Georg Rammensee, Carsten Reinhardt, Harpreet Singh-Jasuja, Steffen Walter, Toni Weinschenk, Jason J Luke, Cedrik M Britten

Faculty, Staff and Student Publications

In contrast to chimeric antigen receptor T cells, T cell receptor (TCR)-engineered T cells can target intracellular tumor-associated antigens crucial for treating solid tumors. However, most trials published so far show limited clinical activity. Here we report interim data from a first-in-human, multicenter, open-label, 3 + 3 dose-escalation/de-escalation phase 1 trial studying IMA203, an autologous preferentially expressed antigen in melanoma (PRAME)-directed TCR T cell therapy in HLA-A*02+ patients with PRAME+ recurrent and/or refractory solid tumors, including melanoma and sarcoma. Primary objectives include the evaluation of safety and tolerability and the determination of the maximum tolerated dose (MTD) and/or recommended dose …

The Long-Term Effects Of Chemotherapy On Normal Blood Cells, Emily Mitchell, My H Pham, Anna Clay, Rashesh Sanghvi, Nicholas Williams, Joanne I Hsu, Hyunchul Jung, Aditi Vedi, Sarah Moody, Jingwei Wang, Daniel Leonganmornlert, Michael Spencer Chapman, Ellie Dunstone, Anna Santarsieri, Alex Cagan, Heather E Machado, E Joanna Baxter, George Follows, Daniel J Hodson, Ultan Mcdermott, Gary J Doherty, Inigo Martincorena, Laura Humphreys, Krishnaa Mahbubani, Kourosh Saeb Parsy, Koichi Takahashi, Margaret A Goodell, David Kent, Elisa Laurenti, Peter J Campbell, Raheleh Rahbari, Jyoti Nangalia, Michael R Stratton

Faculty, Staff and Student Publications

Several chemotherapeutic agents act by increasing DNA damage in cancer cells, triggering cell death. However, there is limited understanding of the extent and long-term consequences of collateral DNA damage in normal tissues. To investigate the impact of chemotherapy on mutation burdens and the cell population structure of normal tissue, we sequenced blood cell genomes from 23 individuals aged 3-80 years who were treated with a range of chemotherapy regimens. Substantial additional somatic mutation loads with characteristic mutational signatures were imposed by some chemotherapeutic agents, but the effects were dependent on the drug and blood cell types. Chemotherapy induced premature changes …

Cdemapper: Enhancing National Institutes Of Health Common Data Element Use With Large Language Models, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong

Faculty, Staff and Student Publications

Objective: Common Data Elements (CDEs) standardize data collection and sharing across studies, enhancing data interoperability and improving research reproducibility. However, implementing CDEs presents challenges due to the broad range and variety of data elements. This study aims to develop a CDE mapping tool to bridge the gap between local data elements and National Institutes of Health (NIH) CDEs.

Methods: We propose CDEMapper, a large language model (LLM)-powered mapping tool designed to assist in mapping local data elements to NIH CDEs. CDEMapper has 3 core modules: (1) CDE indexing and embeddings. NIH CDEs were indexed and embedded to support semantic search; …

Evaluating Large Language Model Performance To Support The Diagnosis And Management Of Patients With Primary Immune Disorders, Cullen Dutmer, Jocelyn R Farmer, Kirk Roberts, Guergana Savova, Mei-Sing Ong

Faculty, Staff and Student Publications

Background: Generative artificial intelligence (GAI) is transforming health care in a variety of ways; however, the present utility of GAI for supporting clinicians who treat rare disease such as primary immune disorders (PIs) is not well studied. We evaluated the ability of 6 state-of-the-art large language models (LLMs) for providing clinical guidance about PIs.

Objective: To quantitatively and qualitatively measure the utility of current, open-source LLMs for diagnosing and providing helpful clinical decision support about PIs.

Methods: Five expert clinical immunologists each provided 5 real-world, anonymized PI case vignettes via multi-turn prompting to 6 LLMs (OpenAI GPT-4o, Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Mistral-7B-Instruct-v0.3, …

Multiple Of The Intermountain Region, Forest Service, United States Department Of Agriculture, J S. Tixier, A H. Winward

IGC Proceedings (1977-2023)

Initial custodians of the National Forests of the United States were primarily concerned about protecting what were perceived as deteriorating timber stands and watersheds. Con­siderable progress was made in correcting these problems in the first half of this Century. As the population of the United States grew, more people became interested in management of all resources on these public lands. Forest Officers gradually became stewards managing a broad array of lands and resources for which there were often conflicting interests and uses. A primary use of National Forests in the Western United States has been livestock grazing. Here, animals are …

Machine Learning Applications For Berth Allocation Optimization In Major Red Sea Ports: A Multi-Port Analysis, Mohammed H. Alshareef

Journal of King Abdulaziz University: Marine Science

Efficient berth allocation remains a critical challenge in Red Sea port operations, particularly given the diverse operational capabilities across the region's ports. The research utilized historical operational data from 147,892 berth allocation instances across these ports spanning 2019--2023. A deep learning model was developed using four dense layers with ReLU activation functions, incorporating vessel characteristics, weather patterns, and operational constraints. The model's performance was validated through comparison with traditional allocation methods using real-time port operation data. Port selection criteria included geographical distribution along the Red Sea, varying levels of technological adoption, and willingness to share operational data for research purposes. …

Innovations In Shipbuilding: A Comprehensive Review Of Material Selection, Corrosion Management, And Environmental Considerations, Oumaima Bouanani, Sara Sandabad, Moulay El Houssine Ech-Chhibat

Journal of King Abdulaziz University: Marine Science

The shipbuilding industry, a cornerstone of global maritime operations, oversees vessel lifecycles from design through commissioning. This article delves into the industry's complex role in facilitating global trade, driving technological advancements, and prioritizing sustainability and safety. The harsh marine environment-marked by salinity, temperature extremes, and mechanical stresses-necessitates resilient and durable vessel structures. Consequently, the careful selection of materials is crucial for ensuring vessel longevity and performance under stringent safety and environmental standards. Recent breakthroughs in shipbuilding materials, including high-strength steel, composites, and lightweight alloys, have transformed the industry. Innovative solutions, such as shape memory alloys and eco-friendly composites, are designed …

Identifying And Analysing Coastal Landforms In Ar Rāyis, Saudi Arabia: Insights From Sentinel Data And Field Studies, Omar A. Alharbi

Journal of King Abdulaziz University: Marine Science

This study examines the coastal geomorphology of the Ar Rāyis coastal zone on the eastern Red Sea coastal plain, along with the processes underpinning this geomorphology. Coastal areas feature various landforms, including beaches, intertidal flats, khawrs (lagoons), sand spits, sand dunes, sabkhas (salt marshes), coral reefs, wadis, raised coral reef terraces, and alluvial terraces. These landform features suggest rapid alterations in coastal conditions. Furthermore, the analysis of Sentinel-2B data via digital processing reveals a range of natural land covers, with field investigations confirming the results. The supervised classification methods assisted in distinguishing between regions of deep and shallow water, while …

From Differentiation To Disease: Cyclin C Directly Coordinates Transcription And Mitochondrial Dynamics, Alicia Campbell

Theses and Dissertations

Organelle crosstalk is essential for coordinating cellular responses to various external cues, including stress and differentiation. Two key organelles, the nucleus and mitochondria, engage in extensive crosstalk to manage responses to a range of environmental and developmental signals. Complex processes such as stem cell differentiation and neuronal development rely on organelle crosstalk. Both processes integrate changes in gene expression with cytosolic and organellar remodeling. However, it remains unclear how these two complex processes are coordinated to achieve the desired outcome. This project concentrates on cyclin C (CCNC), a component of the Mediator Kinase Module (MKM), and its role in directly …

Contextual Approach To Improve Problem Solving Skills In Ipas Subject At Elementary School: A Study Development Of Teaching Materials, Nur Hidayah, Sumarno Sumarno, Joko Siswanto

Jurnal Pendidikan Sains

The objective of this study is to assess the validity, practicality, and efficacy of instructional materials. We refer to this research as research and development, with a focus on the creation of teaching materials. The research design proposed by Borg and Gall consists of six steps: identification of potential and difficulties, data collecting, product design, design validation, design revision, and product trial. The utilized instruments comprise expert and practitioner validity sheets, teacher and student response surveys, and validation sheets for teaching materials and modules, as well as pretest and posttest questions. Experts performed the validity assessment, attaining a score of …

Erratum: Culture Harder: Use More Specimen To Increase Methicillin-Resistant Staphylococcus Aureus Culture Yield Relative To Pcr, Arvette E. Mitchell, Arpit P. Patel, Jennifer Dicandilo, Zachary W. Rebollido, Matthew Pettengill

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

During the copyediting stage of production an error was introduced to the title of this article. This resulted in misspelling of the word ‘specimen’ in the title of the published version of the record. The correct title is ‘Culture harder: use more specimen to increase methicillin-resistant Staphylococcus aureus culture yield relative to PCR.’

Previously the title was ‘Culture harder: use more specimens to increase methicillinresistant Staphylococcus aureus culture yield relative to PCR.’

The version of record was updated to reflect this correction.

We apologise for the inconvenience.

Analysis Of Students' Creative Thinking Skills In Learning Hydrocarbons By Using Daily Life-Based Practicum Method, Yenni Kurniawati, Laras Dyaz Handayani, Dea Ramadani, Nurhikmah Sari

Jurnal Pendidikan Sains

Creative thinking skill is a competence of the 21st century that is needed very much and needs to be increased by utilizing chemistry in life. This research aimed at analyzing student creative thinking skills in experimental and control groups and finding out the effect of the daily life-based practical work learning method on student creative thinking skills. This research was conducted in the eleventh grade at High School 1 Pekanbaru on the hydrocarbon lesson. The quasi-experimental method was used in this research with pretest-posttest and non-equivalent control group designs. The instruments used in this research were essay tests, observation, and …

Digital Comic Learning Media (E-Comic) To Increase Student Learning Interest In Reaction Rate Material At High School, Berliana Afsohin Nabila, Achmad Lutfi

Jurnal Pendidikan Sains

This study aims to develop digital comic learning media that is effective in increasing students' interest in learning about reaction rate material, focusing on the media's validity, practicality, and overall effectiveness. This research utilizes the research and development method with the ADDIE model. Research instruments were used, including validity sheets to assess the media's validity, student activity observations, and student response questionnaires to evaluate the media's practicality, as well as student interest questionnaires and learning outcomes to measure the effectiveness of the learning media. The findings show that validity results showed a mode score of 4, indicating a very valid …

Analysis Of Misconceptions In Learning Biology Mutation Material At High School, Fitri Hayati Kurnia, Tri Wahyu Agustina, Wahyuni Handayani

Jurnal Pendidikan Sains

This research aims to analyze student misconceptions regarding mutation material in class XII. The research method uses a descriptive approach with mixed methods, which combines qualitative and quantitative methods. Qualitative data was obtained through interviews with biology teachers, while quantitative data was obtained through questionnaires and essay tests on students. The research results indicate that the material that students like is growth and development, while the material they don't like is gene mutation and genetic material. Students' misconceptions occur due to preconception aspects, associative thinking, and a lack of understanding of genetic concepts. It was found that students' understanding of …

Integration Of Mechanism-Driven Computational Modeling And Public Data Resources For Chemical Toxicity Assessment, Elena Chung

Theses and Dissertations

Regulatory toxicology depends primarily on animal testing, which limits throughput, mechanistic interpretability, and applicability to human-relevant endpoints. This dissertation presents computational approaches that integrate publicly available bioactivity data with machine learning to support chemical safety evaluation. Oral carcinogenicity was modeled using curated chemicals from the US Environmental Protection Agency’s Integrated Risk Information System (IRIS) and activity data from over 1,900 PubChem assays. Quantitative structure-activity relationship (QSAR) models trained on statistically prioritized assays demonstrated strong predictive performance and were applied to rank the carcinogenic potential of more than 16,000 compounds. Hepatotoxicity was evaluated using a hybrid modeling approach that combined structural …

Knowledge Of Hiv Transmission And Prevention Among University Students In Pakistan: A Cross-Sectional Study, Muhammad Saleem, Sajid Masood, Shahid Hussain

Journal of Bioresource Management

HIV/AIDS remains a significant public health problem internationally, with young adults being especially at risk because of behavioral and knowledge deficits. In Pakistan, cultural inhibitions and suboptimal health education are the main reasons for limited awareness, particularly among university students. This study had the objectives of determining the knowledge level about HIV transmission and prevention among undergraduate students in Kohsar University Murree (KUM) and to investigate correlations with salient demographic variables. A cross-sectional survey was carried out among 510 students aged 18-27 years through a pre-validated, standardized questionnaire with 12 knowledge-based items. Descriptive statistics and Chi-square tests were utilized to …

Production And Characterization Of Biodiesel From Malapari Seed Oil (Pongamia Pinnata L.): Evaluation Of Quality Parameters Based On The Indonesian National Standard (Sni) 04-7182-2015, Desi Adriyanti Nina Taebenu, Ni Luh Arpiwi, Ida Ayu Astarini

Makara Journal of Science

This study produced biodiesel from Malapari seed oil (Pongamia pinnata L.) by optimizing the esterification and transesterification processes. The objectives of this study were to determine the sulfuric acid (H₂SO₄) catalyst concentration in the esterification reaction that can reduc the free fatty acid (FFA) content of the seed oil to ≤2%, analyze the oil to methanol molar ratio (i.e.,1:6, 1:9, and 1:12) and KOH concentration (i.e.,2%, 4%, and 6%) that will produce the highest biodiesel yield, and evaluate the quality of the produced biodiesel according to the Indonesian National Standar (SNI) 04-7182-2015. The research was …

Phase Ii Basket Trial Of Dual Anti-Ctla-4 And Anti-Pd-1 Blockade In Rare Tumors (Dart) Swog S1609: Pancreatic Neuroendocrine Neoplasm (Pnen) Cohort, Sandip Pravin Patel, Jillian Fisher, Young Kwang Chae, Luisa Solis Soto, Anup Kasi, Mark Walshauser, Jiexin Zhang, Caroline Duault, Edgar Gonzalez-Kozlova, Ganiraju Manyam, Jianhua Zhang, Hong Chen, Dzifa Yawa Duose, Caddie Laberiano Fernandez, Raja Luthra, Gheath Al-Atrash, Seunghee Kim-Schulze, Holden T Maecker, Ignacio I Wistuba, Sacha Gnjatic, J Jack Lee, Jianjun Zhang, Christine M Magner, Helen X Chen, Elad Sharon, Megan Othus, Christopher W Ryan, Charles Blanke, Cara L Haymaker, Razelle Kurzrock

Faculty, Staff and Student Publications

Purpose: SWOG S1609 Dual Anti-CTLA-4 and anti-PD-1 blockade in Rare Tumors (DART) studied the efficacy of ipilimumab combined with nivolumab across multiple rare tumor types. We report the results of the pancreatic neuroendocrine neoplasm (PNEN) cohort.

Experimental design: Treatment consisted of ipilimumab 1 mg/kg intravenously every 6 weeks with nivolumab 240 mg intravenously every 2 weeks. The primary endpoint was overall response rate (ORR) (Response Evaluation Criteria In Solid TumorsRECIST V.1.1). Secondary endpoints include progression-free survival (PFS), overall survival (OS), and toxicity. Clinical benefit rate (includes ORR plus stable disease (SD)>6 months was examined. Correlative …