bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinicopathological Spectrum of Facial Granulomatous Dermatoses: Evidence from a 5-Year Study in Iran
Authors: Aryanian Zeinab , Ansari Mahshid , Fatima Huda , Homayouni Mona , Khayyat Azadeh , Ghanadan Alireza , Hatami Parvaneh
Published: June 2024

Background. Granulomatous dermatoses, particularly on facial skin, pose a diagnostic challenge, as similar histologic patterns can be produced by different causes. Aim. To evaluate the correlation between clinical suspicion and histopathological findings in various facial granulomatous dermatoses. Materials and Methods. This retrospective, cross-sectional study included all patients with the histopathological diagnosis of facial granulomatous dermatoses from the years 2016 to 2021 in an academic hospital. Demographic, clinical, and histopathologic features were reviewed and analyzed. Results. In this study, 150 histopathological records with the diagnosis of facial granulomatous dermatoses from the years 2016 to 2021 were reviewed. The most common clinical diagnosis was rosacea 34 (23.6%), followed by sarcoidosis 27 (18.8%), leishmaniasis 15 (10.4%), and granulomatous rosacea 10 (6.9%). The frequency of clinical diagnosis of rosacea (70.6), sarcoidosis (66.7), foreign body G (62.5), TB (75), pseudolymphoma (75), acne agminata (66.7), and granulomatous rosacea (70) in female patients was higher than that in males (P value = 0.03). The effect of age on the type of both clinical and histopathological diagnosis was statistically significant (P value = 0.0001 and 0.004, respectively). Conclusion. Our study contributed significantly to the understanding of the clinicopathological aspects of facial granulomatous dermatoses and advocated for a multidisciplinary approach to the diagnosis and management of these complex skin conditions.
Supplementary Table S4 from Causal Relationship between Sex Hormone-Binding Globulin and Risk of Neuroblastoma: A Bidirectional Two-Sample Mendelian Randomization Study
Authors: Wu Han , Ding Miao , Zhu Jiabei , Mao Siwei , Tang Xiaochen , Fang Sijia , Liu Li , Pan Qiuhui , Yue Chaoyan
Published: June 2024

Supplementary Table S4 shows the LDtrait result of SNPs when employing NB as exposure and female SHBG as outcome.
Supplementary Table S1 from Causal Relationship between Sex Hormone-Binding Globulin and Risk of Neuroblastoma: A Bidirectional Two-Sample Mendelian Randomization Study
Authors: Wu Han , Ding Miao , Zhu Jiabei , Mao Siwei , Tang Xiaochen , Fang Sijia , Liu Li , Pan Qiuhui , Yue Chaoyan
Published: June 2024

Supplementary Table S1 shows the LDtrait result of SNPs when employing male SHBG as exposure and NB as outcome.
Supplementary Figure S4 from Projecting the Impact of Multi-Cancer Early Detection on Late-Stage Incidence Using Multi-State Disease Modeling
Authors: Lange Jane M. , Gogebakan Kemal Caglar , Gulati Roman , Etzioni Ruth
Published: June 2024

Supplementary Figure S4: Scatterplot of early-stage mean sojourn time (EMST) and ratio of observed early-stage incidence to late-stage incidence at age 65 assuming an overall sojourn time of 4 years and late-stage mean sojourn time of 1 year.
Supplemental Table S1 from Statins Do Not Significantly Affect Oxidative Nitrosative Stress Biomarkers in the PREVENT Randomized Clinical Trial
Authors: Makhlin Igor , Demissei Biniyam G. , D'Agostino Ralph , Hundley W. Greg , Baleanu-Gogonea Camelia , Wilcox Nicholas S. , Chen Anna , Smith Amanda M. , O'Connell Nathaniel Sean , Januzzi James L. , Lesser Glenn J. , Scherrer-Crosbie Marielle , Ibáñez Borja , Tang W.H. Wilson , Ky Bonnie
Published: June 2024

Supplemental Table S1: Study Representativeness Table
Supplemental Figure 7 from GD2-Targeting CAR T-cell Therapy for Patients with GD2+ Medulloblastoma
Authors: Ciccone Roselia , Quintarelli Concetta , Camera Antonio , Pezzella Michele , Caruso Simona , Manni Simona , Ottaviani Alessio , Guercio Marika , Del Bufalo Francesca , Quadraccia Maria Cecilia , Orlando Domenico , Di Cecca Stefano , Sinibaldi Matilde , Aurigemma Mariasole , Iaffaldano Laura , Sarcinelli Andrea , D'Amore Maria Luisa , Ceccarelli Manuela , Nazio Francesca , Marabitti Veronica , Giorda Ezio , Pezzullo Marco , De Stefanis Cristiano , Carai Andrea , Rossi Sabrina , Alaggio Rita , Del Baldo Giada , Becilli Marco , Mastronuzzi Angela , De Angelis Biagio , Locatelli Franco
Published: June 2024

Supplemental Figure 7. Inhibition of EZH2 with Tazemetostat upregulates GD2 expression in MED-411 FHTC (G3 subgroup) MB cells.
Supplementary Video S1 from A Prospective Double-Blinded Comparison of Reflectance Confocal Microscopy with Conventional Histopathology for In Vivo Assessment in Oral Cancer
Authors: Zanoni Daniella K. , Demétrio De Souza França Paula , Valero Cristina , Peterson Gary , Ardigo Marco , Ghossein Ronald , Dusza Stephen W. , Matsuura Danielli , Scholfield Daniel W. , Adilbay Dauren , Montero Pablo H. , Migliacci Jocelyn , Pillarsetty Naga Vara Kishore , Kose Kivanc , Ganly Ian , Rajadhyaksha Milind , Patel Snehal G.
Published: June 2024

Supplementary Video S1 shows a Keratin Pearl. Keratin pearls are often present in oral squamous cell carcinoma (OSCC). They are composed of concentric rings of squamous cells showing gradual keratinization.
Supplementary Figure S4 from A Prospective Double-Blinded Comparison of Reflectance Confocal Microscopy with Conventional Histopathology for In Vivo Assessment in Oral Cancer
Authors: Zanoni Daniella K. , Demétrio De Souza França Paula , Valero Cristina , Peterson Gary , Ardigo Marco , Ghossein Ronald , Dusza Stephen W. , Matsuura Danielli , Scholfield Daniel W. , Adilbay Dauren , Montero Pablo H. , Migliacci Jocelyn , Pillarsetty Naga Vara Kishore , Kose Kivanc , Ganly Ian , Rajadhyaksha Milind , Patel Snehal G.
Published: June 2024

Supplementary Figure S4 shows in vivo RCM images of a margin area in a 48-year-old male, never smoker, with occasional alcohol exposure harboring a 3.0 cm exophytic poorly differentiated oral squamous cell carcinoma of the right lateral tongue.
Supplementary Figure S2 from The VEGF-Hypoxia Signature Is Upregulated in Basal-like Breast Tumors from Women of African Ancestry and Associated with Poor Outcomes in Breast Cancer
Authors: Han Yoo Jane , Liu Siyao , Hardeman Ashley , Rajagopal Padma Sheila , Mueller Jeffrey , Khramtsova Galina , Sanni Ayodele , Ajani Mustapha , Clayton Wendy , Hurley Ian W. , Yoshimatsu Toshio F. , Zheng Yonglan , Parker Joel , Perou Charles M. , Olopade Olufunmilayo I.
Published: June 2024

Supplementary Fig. S2. Correlation with Other Immune Modules.
Supplementary Fig 2 from KRT17high/CXCL8+ Tumor Cells Display Both Classical and Basal Features and Regulate Myeloid Infiltration in the Pancreatic Cancer Microenvironment
Authors: Carpenter Eileen S. , Kadiyala Padma , Elhossiny Ahmed M. , Kemp Samantha B. , Li Jay , Steele Nina G. , Nicolle Rémy , Nwosu Zeribe C. , Freeman Julia , Dai Henry , Paglia Daniel , Du Wenting , Donahue Katelyn , Morales Jacqueline , Medina-Cabrera Paola I. , Bonilla Monica E. , Harris Lindsey , The Stephanie , Gunchick Valerie , Peterson Nicole , Brown Kristee , Mattea Michael , Espinoza Carlos E. , McGue Jake , Kabala Sarah M. , Baliira Rachel K. , Renollet Nur M. , Mooney Ayden G. , Liu Jianhua , Bhalla Sean , Farida Jeremy P. , Ko Christopher , Machicado Jorge D. , Kwon Richard S. , Wamsteker Erik-Jan , Schulman Allison , Anderson Michelle A. , Law Ryan , Prabhu Anoop , Coulombe Pierre A. , Rao Arvind , Frankel Timothy L. , Bednar Filip , Shi Jiaqi , Sahai Vaibhav , Pasca Di Magliano Marina
Published: June 2024

Mapping basal, classical, and inflammatory markers in human PDAC.
Supplementary Table S6 from Targeted and Shallow Whole-Genome Sequencing Identifies Therapeutic Opportunities in p53abn Endometrial Cancers
Authors: Jamieson Amy , Sobral de Barros Juliana , Cochrane Dawn R. , Douglas J. Maxwell , Shankar Sameer , Lynch Branden J. , Leung Samuel , Martin Spencer , Senz Janine , Lum Amy , Drew Yvette , Gilks C. Blake , Huntsman David G. , McAlpine Jessica N.
Published: June 2024

Supplemental Table 6: Association of Signatures and ERBB2 amplification, p-values using Fisher’s Exact test
Supplementary Figure S8 from Targeted and Shallow Whole-Genome Sequencing Identifies Therapeutic Opportunities in p53abn Endometrial Cancers
Authors: Jamieson Amy , Sobral de Barros Juliana , Cochrane Dawn R. , Douglas J. Maxwell , Shankar Sameer , Lynch Branden J. , Leung Samuel , Martin Spencer , Senz Janine , Lum Amy , Drew Yvette , Gilks C. Blake , Huntsman David G. , McAlpine Jessica N.
Published: June 2024

Supplemental figure 8. Kaplan- Meier survival analyses showing improved overall survival for VS2 and worse overall survival for VS1 and VS3, however, this not significant for PFS or DSS.
Supplementary Figure S7 from Targeted and Shallow Whole-Genome Sequencing Identifies Therapeutic Opportunities in p53abn Endometrial Cancers
Authors: Jamieson Amy , Sobral de Barros Juliana , Cochrane Dawn R. , Douglas J. Maxwell , Shankar Sameer , Lynch Branden J. , Leung Samuel , Martin Spencer , Senz Janine , Lum Amy , Drew Yvette , Gilks C. Blake , Huntsman David G. , McAlpine Jessica N.
Published: June 2024

Supplemental figure 7. (A) Alluvial plot showing the correspondence between the Vancouver signatures
(VS1-5) and the pan-cancer chromosomal instability signatures (CX1-17) for 185 samples from the Vancouver cohort; samples are assigned to a signature based on their maximum signature exposure (activity). (B) The per-sample exposure to signatures CX1-17, for the same 185 samples.
Supplementary Table 7 from Memory/Active T-Cell Activation Is Associated with Immunotherapeutic Response in Fumarate Hydratase–Deficient Renal Cell Carcinoma
Authors: Chen Junru , Hu Xu , Zhao Junjie , Yin Xiaoxue , Zheng Linmao , Guo Jingjing , Chen Jianhui , Wang Yongquan , Sheng Xinan , Dong Haiying , Liu Xiaodong , Zhang Xingming , Liang Jiayu , Liu Haolin , Yao Jin , Liu Jiyan , Shen Yali , Chen Zhibin , He Zhengyu , Wang Yaodong , Chen Ni , Nie Ling , Zhang Mengni , Pan Xiuyi , Chen Yuntian , Liu Haoyang , Zhang Yaowen , Tang Yanfeng , Zhu Sha , Zhao Jinge , Dai Jindong , Wang Zilin , Zeng Yuhao , Wang Zhipeng , Huang Haojie , Liu Zhenhua , Shen Pengfei , Zeng Hao , Sun Guangxi
Published: June 2024

Supplementary Table 7. Cell lineage markers used for single cell analysis.
Supplementary Table 3 from Memory/Active T-Cell Activation Is Associated with Immunotherapeutic Response in Fumarate Hydratase–Deficient Renal Cell Carcinoma
Authors: Chen Junru , Hu Xu , Zhao Junjie , Yin Xiaoxue , Zheng Linmao , Guo Jingjing , Chen Jianhui , Wang Yongquan , Sheng Xinan , Dong Haiying , Liu Xiaodong , Zhang Xingming , Liang Jiayu , Liu Haolin , Yao Jin , Liu Jiyan , Shen Yali , Chen Zhibin , He Zhengyu , Wang Yaodong , Chen Ni , Nie Ling , Zhang Mengni , Pan Xiuyi , Chen Yuntian , Liu Haoyang , Zhang Yaowen , Tang Yanfeng , Zhu Sha , Zhao Jinge , Dai Jindong , Wang Zilin , Zeng Yuhao , Wang Zhipeng , Huang Haojie , Liu Zhenhua , Shen Pengfei , Zeng Hao , Sun Guangxi
Published: June 2024

Supplementary Table 3. Survival outcomes for patients receiving different systemic treatments.
Supplementary Figure S4 from Preclinical Efficacy of a PSMA-Targeted Actinium-225 Conjugate (225Ac-Macropa-Pelgifatamab): A Targeted Alpha Therapy for Prostate Cancer
Authors: Schatz Christoph A. , Zitzmann-Kolbe Sabine , Moen Ingrid , Klotz Monika , Nair Shankari , Stargard Stefan , Bjerke Roger M. , Wickstrøm Biseth Katrine , Feng Yuan Zeng , Indrevoll Bård , Cruciani Veronique , Karlsson Jenny , Haendler Bernard , Nielsen Carsten H. , Alfsen Maria Z. , Hammer Stefanie , Hennekes Hartwig , Cuthbertson Alan , Hagemann Urs B. , Larsen Åsmund
Published: June 2024

Figure S4. Growth curves of individual tumors in LNCaP tumor-bearing male SCID mice treated with (A)
vehicle, (B) 70 kBq/kg 225Ac-pelgi, (C) 125 kBq/kg 225Ac-pelgi, or (D) 250 kBq/kg 225Ac-pelgi.
Supplementary Figure S8 from Stabilizing Tumor-Resident Mast Cells Restores T-Cell Infiltration and Sensitizes Sarcomas to PD-L1 Inhibition
Authors: Panagi Myrofora , Mpekris Fotios , Voutouri Chrysovalantis , Hadjigeorgiou Andreas G. , Symeonidou Chloe , Porfyriou Eleni , Michael Christina , Stylianou Andreas , Martin John D. , Cabral Horacio , Constantinidou Anastasia , Stylianopoulos Triantafyllos
Published: June 2024

Ketotifen mechanotherapeutic enhances the neoadjuvant treatment by reducing the recruitment of immunosuppressive cell populations.
Supplementary Figure S7 from Stabilizing Tumor-Resident Mast Cells Restores T-Cell Infiltration and Sensitizes Sarcomas to PD-L1 Inhibition
Authors: Panagi Myrofora , Mpekris Fotios , Voutouri Chrysovalantis , Hadjigeorgiou Andreas G. , Symeonidou Chloe , Porfyriou Eleni , Michael Christina , Stylianou Andreas , Martin John D. , Cabral Horacio , Constantinidou Anastasia , Stylianopoulos Triantafyllos
Published: June 2024

Ketotifen alleviates hypoxia and restores intratumoral T cell infiltration by upregulating immune cell adhesion to blood vessels.
Supplementary Figure S3 from Stabilizing Tumor-Resident Mast Cells Restores T-Cell Infiltration and Sensitizes Sarcomas to PD-L1 Inhibition
Authors: Panagi Myrofora , Mpekris Fotios , Voutouri Chrysovalantis , Hadjigeorgiou Andreas G. , Symeonidou Chloe , Porfyriou Eleni , Michael Christina , Stylianou Andreas , Martin John D. , Cabral Horacio , Constantinidou Anastasia , Stylianopoulos Triantafyllos
Published: June 2024

Ketotifen monotherapy does not affect tumor growth.
Supplementary Figure S2 from Solid Organ Transplant Recipients Exhibit More TET2-Mutant Clonal Hematopoiesis of Indeterminate Potential Not Driven by Increased Transplantation Risk
Authors: Silver Alexander J. , Vlasschaert Caitlyn , Mack Taralynn , Sharber Brian , Xu Yaomin , Bick Alexander G. , Pinson C. Wright , Savona Michael R.
Published: June 2024

Supplementary Figure S2. Distribution of organ types.
Supplementary Figure S6 from Safety and Preliminary Efficacy of Pembrolizumab Following Transarterial Chemoembolization for Hepatocellular Carcinoma: The PETAL Phase Ib Study
Authors: Pinato David J. , D'Alessio Antonio , Fulgenzi Claudia Angela Maria , Schlaak Alexandra Emilia , Celsa Ciro , Killmer Saskia , Blanco Jesus Miguens , Ward Caroline , Stikas Charalampos-Vlasios , Openshaw Mark R. , Acuti Nicole , Nteliopoulos Georgios , Balcells Cristina , Keun Hector C. , Goldin Robert D. , Ross Paul J. , Cortellini Alessio , Thomas Robert , Young Anna-Mary , Danckert Nathan , Tait Paul , Marchesi Julian R. , Bengsch Bertram , Sharma Rohini
Published: June 2024

Supplementary Figure S6.
Changes from baseline in global health status (GHS)/quality of life (QoL) and functioning domains on EORTC QLQ-C30 questionnaire.
Supplementary Figure S4 from Safety and Preliminary Efficacy of Pembrolizumab Following Transarterial Chemoembolization for Hepatocellular Carcinoma: The PETAL Phase Ib Study
Authors: Pinato David J. , D'Alessio Antonio , Fulgenzi Claudia Angela Maria , Schlaak Alexandra Emilia , Celsa Ciro , Killmer Saskia , Blanco Jesus Miguens , Ward Caroline , Stikas Charalampos-Vlasios , Openshaw Mark R. , Acuti Nicole , Nteliopoulos Georgios , Balcells Cristina , Keun Hector C. , Goldin Robert D. , Ross Paul J. , Cortellini Alessio , Thomas Robert , Young Anna-Mary , Danckert Nathan , Tait Paul , Marchesi Julian R. , Bengsch Bertram , Sharma Rohini
Published: June 2024

Supplementary Figure S4. Dynamic changes of ALBI grade, ALT and AST in patients recruited to Part 1 and Part 2 of the study.
Supplementary Figure S5 from Maintenance Pembrolizumab Therapy in Patients with Metastatic HER2-negative Breast Cancer with Prior Response to Chemotherapy
Authors: Iwase Toshiaki , Cohen Evan N. , Gao Hui , Alexander Angela , Kai Megumi , Chiv Vivian , Wang Xiaoping , Krishnamurthy Savitri , Liu Diane , Shen Yu , Kida Kumiko , Reuben Alexandre , Layman Rachel M. , Ramirez David L. , Tripathy Debasish , Moulder Stacy L. , Yam Clinton , Valero Vicente , Lim Bora , Reuben James M. , Ueno Naoto T.
Published: June 2024

Supplementary Figure 5. Significant decreases in T-cell exhaustion markers were associated only with patients who responded to pembrolizumab maintenance therapy. The boxplot shows the interquartile range with whiskers extending up to 1.5 times the interquartile range
Supplementary Figure S15 from Safety and Preliminary Efficacy of Pembrolizumab Following Transarterial Chemoembolization for Hepatocellular Carcinoma: The PETAL Phase Ib Study
Authors: Pinato David J. , D'Alessio Antonio , Fulgenzi Claudia Angela Maria , Schlaak Alexandra Emilia , Celsa Ciro , Killmer Saskia , Blanco Jesus Miguens , Ward Caroline , Stikas Charalampos-Vlasios , Openshaw Mark R. , Acuti Nicole , Nteliopoulos Georgios , Balcells Cristina , Keun Hector C. , Goldin Robert D. , Ross Paul J. , Cortellini Alessio , Thomas Robert , Young Anna-Mary , Danckert Nathan , Tait Paul , Marchesi Julian R. , Bengsch Bertram , Sharma Rohini
Published: June 2024

Supplementary Figure S15.
Heatmaps representing the normalised concentration of the metabolites and the metabolite ratios significantly represented across timepoints (A) and across responders and non-responders (B). Normalisation was performed using the sample with highest metabolite concentration from each row as reference (100%). The complete list of metabolites analysed can be found in Suppl.Tab.5. Abbreviations: EOT, End of Treatment; 12w, 12 weeks; Tyr/Phe, Tyrosine/Phenylalanine; Met-SO/Met, Methionine-sulfoxide/Methionine; AC-DC, acylcarnitine derivative of a dicarboxylic acid.
Supplementary Figure 6 from Measurement of ctDNA Tumor Fraction Identifies Informative Negative Liquid Biopsy Results and Informs Value of Tissue Confirmation
Authors: Rolfo Christian D. , Madison Russell W. , Pasquina Lincoln W. , Brown Derek W. , Huang Yanmei , Hughes Jason D. , Graf Ryon P. , Oxnard Geoffrey R. , Husain Hatim
Published: June 2024

Supplementary Figure 6: Negative percent agreement (NPA), a measure of specificity, informs interpretation of biomarker positive results across all levels of ctDNA TF.
Data from A Prospective Double-Blinded Comparison of Reflectance Confocal Microscopy with Conventional Histopathology for In Vivo Assessment in Oral Cancer
Authors: Zanoni Daniella K. , Demétrio De Souza França Paula , Valero Cristina , Peterson Gary , Ardigo Marco , Ghossein Ronald , Dusza Stephen W. , Matsuura Danielli , Scholfield Daniel W. , Adilbay Dauren , Montero Pablo H. , Migliacci Jocelyn , Pillarsetty Naga Vara Kishore , Kose Kivanc , Ganly Ian , Rajadhyaksha Milind , Patel Snehal G.
Published: June 2024

AbstractPurpose:
We investigated reflectance confocal microscopy (RCM) as a possible noninvasive approach for the diagnosis of cancer and real-time assessment of surgical margins.
Experimental Design:
In a phase I study on 20 patients, we established the RCM imaging morphologic features that distinguish oral squamous cell carcinoma (OSCC) from normal tissue with a newly developed intraoral RCM probe. Our subsequent phase II prospective double-blinded study in 60 patients tested the diagnostic accuracy of RCM against histopathology. Five RCM videos from the tumor and five from normal surrounding mucosa were collected on each patient, followed by a 3-mm punch biopsy of the imaged area. An experienced RCM reader, who was blinded to biopsy location and histologic diagnosis, examined the videos from both regions and classified each as “tumor” or “not tumor” based on RCM features established in phase I. Hematoxylin and eosin slides from the biopsies were read by a pathologist who was blinded to RCM results. Using histology as the gold standard, we calculated the sensitivity and specificity of RCM.
Results:
We report a high agreement between the blinded readers (95% for normal tissue and 81.7% for tumors), high specificity (98.3%) and negative predictive values (96.6%) for normal tissue identification, and high sensitivity (90%) and positive predictive values (88.2%) for tumor detection.
Conclusions:
RCM imaging is a promising technology for noninvasive in vivo diagnosis of OSCC and for real-time intraoperative evaluation of mucosal surgical margins. Its inherent constraint, however, stems from the diminished capability to evaluate structures located at more substantial depths within the tissue.
Supplementary_Table_S1 from Glioblastoma-Infiltrating CD8+ T Cells Are Predominantly a Clonally Expanded GZMK+ Effector Population
Authors: Wang Anthony Z. , Mashimo Bryce L. , Schaettler Maximilian O. , Sherpa Ngima D. , Leavitt Lydia A. , Livingstone Alexandra J. , Khan Saad M. , Li Mao , Anzaldua-Campos Markus I. , Bradley Joseph D. , Leuthardt Eric C. , Kim Albert H. , Dowling Joshua L. , Chicoine Michael R. , Jones Pamela S. , Choi Bryan D. , Cahill Daniel P. , Carter Bob S. , Petti Allegra A. , Johanns Tanner M. , Dunn Gavin P.
Published: June 2024

Patient demographics and sample characteristics.
Supplementary_Fig_S13 from Glioblastoma-Infiltrating CD8+ T Cells Are Predominantly a Clonally Expanded GZMK+ Effector Population
Authors: Wang Anthony Z. , Mashimo Bryce L. , Schaettler Maximilian O. , Sherpa Ngima D. , Leavitt Lydia A. , Livingstone Alexandra J. , Khan Saad M. , Li Mao , Anzaldua-Campos Markus I. , Bradley Joseph D. , Leuthardt Eric C. , Kim Albert H. , Dowling Joshua L. , Chicoine Michael R. , Jones Pamela S. , Choi Bryan D. , Cahill Daniel P. , Carter Bob S. , Petti Allegra A. , Johanns Tanner M. , Dunn Gavin P.
Published: June 2024

TCR landscape of ex vivo expanded TIL does not recapitulate the initial TCR landscape.
Supplementary Figure 6 from Single-Cell Chromatin Accessibility Analysis Reveals the Epigenetic Basis and Signature Transcription Factors for the Molecular Subtypes of Colorectal Cancers
Authors: Liu Zhenyu , Hu Yuqiong , Xie Haoling , Chen Kexuan , Wen Lu , Fu Wei , Zhou Xin , Tang Fuchou
Published: June 2024

Supplementary Figure 6. Identification of chromatin and TF regulators related to iCMS classification.
Data from Glioblastoma-Infiltrating CD8+ T Cells Are Predominantly a Clonally Expanded GZMK+ Effector Population
Authors: Wang Anthony Z. , Mashimo Bryce L. , Schaettler Maximilian O. , Sherpa Ngima D. , Leavitt Lydia A. , Livingstone Alexandra J. , Khan Saad M. , Li Mao , Anzaldua-Campos Markus I. , Bradley Joseph D. , Leuthardt Eric C. , Kim Albert H. , Dowling Joshua L. , Chicoine Michael R. , Jones Pamela S. , Choi Bryan D. , Cahill Daniel P. , Carter Bob S. , Petti Allegra A. , Johanns Tanner M. , Dunn Gavin P.
Published: June 2024

Abstract
Recent clinical trials have highlighted the limited efficacy of T cell–based immunotherapy in patients with glioblastoma (GBM). To better understand the characteristics of tumor-infiltrating lymphocytes (TIL) in GBM, we performed cellular indexing of transcriptomes and epitopes by sequencing and single-cell RNA sequencing with paired V(D)J sequencing, respectively, on TILs from two cohorts of patients totaling 15 patients with high-grade glioma, including GBM or astrocytoma, IDH-mutant, grade 4 (G4A). Analysis of the CD8+ TIL landscape reveals an enrichment of clonally expanded GZMK+ effector T cells in the tumor compared with matched blood, which was validated at the protein level. Furthermore, integration with other cancer types highlights the lack of a canonically exhausted CD8+ T-cell population in GBM TIL. These data suggest that GZMK+ effector T cells represent an important T-cell subset within the GBM microenvironment and may harbor potential therapeutic implications.
Significance:
To understand the limited efficacy of immune-checkpoint blockade in GBM, we applied a multiomics approach to understand the TIL landscape. By highlighting the enrichment of GZMK+ effector T cells and the lack of exhausted T cells, we provide a new potential mechanism of resistance to immunotherapy in GBM.

This article is featured in Selected Articles from This Issue, p. 897
Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method
Authors: Purnama Harahap Eka , Dwi Purnomo Hindriyanto , Iriani Ade , Sembiring Irwan , Nurtino Tio
Published: June 2024

This research analyzes the sentiment of Twitter users regarding tourism in Indonesia using the keyword "wonderful Indonesia" as the tourism promotion identity. The aim of this study is to gain a deeper understanding of the public sentiment towards "wonderful Indonesia" through social media data analysis. The novelty obtained provides new insights into valuable information about Indonesian tourism for the government and relevant stakeholders in promoting Indonesian tourism and enhancing tourist experiences. The method used is tweet analysis and classification using the K-nearest neighbor (KNN) algorithm to determine the positive, neutral, or negative sentiment of the tweets. The classification results show that the majority of tweets (65.1% out of a total of 14,189 tweets) have a neutral sentiment, indicating that most tweets with the "wonderful Indonesia" tagline are related to advertising or promoting Indonesian tourism. However, the percentage of tweets with positive sentiment (33.8%) is higher than those with negative sentiment (1.1%). This study also achieved training results with an accuracy rate of 98.5%, precision of 97.6%, recall of 98.5%, and F1-score of 98.1%. However, reassessment is needed in the future as Twitter users' sentiment can change along with the development of Indonesian tourism itself.
Safeguarding data privacy: strategies to counteract internal and external hacking threats
Authors: Jamal Hassan , Algeelani Nasir Ahmed , Al-Sammarraie Najeeb Abbas
Published: June 2024

In the digital age, the protection of data privacy has become increasingly important. Hackers, whether internal or external to an organization, could cause significant damage by stealing sensitive data, causing financial loss, compromising the privacy of individuals, or damaging the organization's reputation. This scientific research aimed to make substantial contributions by emphasizing the importance of addressing both internal and external hacking threats to protect sensitive information. The main theme of their work revolved around building a multi-layered defense system that included technological solutions like firewalls, encryption, and intrusion detection systems. The specific goals of their design and development approach were to establish clear policies and procedures for data handling, access control, and incident response, as well as to enhance data privacy strategies to stay ahead of evolving hacking techniques. The authors also highlighted the significance of employee awareness and training programs, collaboration with cybersecurity experts, and staying up-to-date with regulatory requirements to create a robust data privacy framework.
Change detection using multispectral satellite images: a systematic review of literature
Authors: Vasantrao Chafle Pratiksha , Gupta Neha , Mishra Anoop Kumar , Bhavekar Girish S. , Gupta Madhav Kumar
Published: June 2024

Change detection (CD) provides information about the changes on earth’s surface over a period of time. Many algorithms have been proposed over the years for effective CD of satellite imagery. This paper presents the steps to preprocess the captured satellite images, which can be used to perform predictive analysis of earth’s surface by CD techniques. To design a highly effective system for CD, it is recommended that algorithm designers select efficient algorithms from any given application. Thus, this paper presents and investigates the review of most appropriate literature on CD, where CD techniques have been presented into three groups; i) thresholding, ii) clustering, and iii) deep learning. The first two categories mainly rely on the traditional machine learning, whereas the last one exploits the state-of-the-art deep learning models. At the end, the standard methods are summarized based on advantages, limitation, and research gap.
Applying convolutional neural network and Nadam optimization in flower classification
Authors: Aini Qurrotul , Zulfiandri Zulfiandri , Firmansyah Rezky , Arif Yunifa Miftachul
Published: June 2024

Flowers have a variety of shapes, colors and structures, the images of which need to be classified using guided learning techniques. Several studies classify flowers using machine learning, but their accuracy performance is not good. The thing is, the flowers come in a variety of colors that can sometimes look similar to the background. Therefore, this study aims to classify flowers using a convolutional neural network (CNN) and measure its performance. The method used is mixed methods by collecting existing data from previous studies and connecting it with the realities in the field. The Kozłowski and Steinbrener models were used, while the image data was obtained from the Oxford17 and Oxford102 dataset with 17 and 102 flower types, respectively. The results show 60% and 84% accuracy of CNN using the scratch and transfer learning approach for the Oxford17 dataset. The Oxford102 dataset shows 42% and 64%, respectively, with CNN from baseline and transfer learning.
Secure and efficient data storage with Rivest Shamir Adleman algorithm in cloud environment
Authors: Elumalai Ezhilarasan , Muruganandam Dinakaran
Published: June 2024

Cloud computing rapidly is a prerequisite and releases resources with minimal management effort. The surfacing of the cloud has significantly distorted the general insight into infrastructure, software services, and development models. In contrast to single-key encryption models based on public or private keys (PKs), hybrid encryption systems combine encryption methods using symmetric or asymmetric methods. Various hybrid algorithms fail to meet users’ expectations regarding data security and cannot prevent all security risks. The secure and efficient data storage and retrieval (SEDSR) algorithm was developed for scalable key management between the content owner, cloud user, and service providers in an un-trusted cloud environment. In the implementation, the SEDSR combines the Rivest Shamir Adleman (RSA) algorithm 4096 key length with a primary symmetric key method to provide adequate and compact security with optimal retrieval systems in the cloud. Based on the experimental evaluation, the SEDSR minimizes 1.7 seconds of encryption times (ET) and 1.5 seconds of decryption time (DT) and improves by 34% throughput (TRP) compared to existing parameters.
YOLO-based object detection performance evaluation for automatic target aimbot in first-person shooter games
Authors: Asmara Rosa Andrie , Rahmat Samudra Anugrah Muhammad , Wibowo Dimas Wahyu , Arai Kohei , Burhanuddin Mohd Aboobaider , Handayani Anik Nur , Damayanti Farradila Ayu
Published: June 2024

First-person shooter (FPS) focuses on first-person perspective action gameplay, with gunfights usually giving the player a choice of weapons, significantly impacting how the player approaches or strategies. General military-themed FPS games have realistic models with actual weapons’ shapes and characteristics. This type of game requires high aiming accuracy while using a mouse on a PC. However, not all players have a fast response time in knowing the surrounding situation. New players may need aid when targeting enemies in the FPS world. One popular yet underhanded method is injecting a program code using a dynamic-link library (DLL) to manipulate memory and asset data from the game. Instead of DLL, we promote a novel approach using the player’s real-time game screen, detecting the person without injecting program code into the game. The you only look once (YOLO) algorithm is used as an object detector model since it can process images in real time for up to 45 frames per second. The proposed object detection has an outstanding performance with 65% accuracy, 98% precision, and 61% recall of 51 tests for each game. YOLO’s fastest detection speed produces an average of 35 FPS on the YOLO tiny variant using a mixed precision (half) graphics processing unit (GPU).
An intelligent obfuscated mobile malware detection using deep supervised learning algorithms
Authors: Ganapathi Padmavathi , Arumugam Roshni , Dhathathri Shanmugapriya
Published: June 2024

Obfuscated mobile malware (OMM) is a malicious software in mobile that hides to avoid detection and annihilation. These types of malwares are thorny to identify due to their inevitable nature. Deep learning (DL) algorithms are the most desirable to detect obfuscated malware based on the ‘n’ number of iterations with adjustable weights and neurons. This study investigates the accurate detection of OMM using significant DL algorithms such as multi-layer perceptron (MLP), self-organizing maps (SOM), long short-term memory (LSTM) networks, auto encoders (AE), and convolutional neural network (CNN) based on appropriate parameter tuning. The dataset taken for the study is CICMalMem2022 that contains 58,596 samples with 57 features which is basically designed for OMM detection. The dataset comprises Spyware, Ransomware, Trojan horse, and Benign. The DL models are evaluated based on performance metrics such as precision, recall, accuracy, training accuracy, test accuracy, validation accuracy, training loss, validation loss and receiver operating characteristic (ROC) curve. Based on the experimental evaluation, the study reveals that LSTM outperforms with 100% accuracy and MLP achieves 99.9% accuracy in detecting and classifying the OMM using deep supervised learning (SL) mechanism.
Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode
Authors: Lubis Arif Ridho , Harefa Hafid Rahman , Al-Khowarizmi Al-Khowarizmi , Julham Julham , Lubis Muharman , Rahmat Romi Fadillah
Published: June 2024

Blood is a fluid in the body that mainly serves as a medium for transporting various substances in the body. Detection of human blood group types with this microcontroller utilizes dark and light properties. The dark character appears due to agglomeration, while the light nature arises because of no agglomeration, for this to happen, a liquid reagent is needed. Administration of this liquid uses the aviator's breathing oxygen (ABO) system, which consists of reagent a, reagent b, and reagent c and mixing it with blood on the test paper. The number of blood samples in each reagent is based on blood lancet. Furthermore, the sensors used to detect these properties are photodiode and light emitting diode (LED) each of 3 pieces. The Arduino Uno is used to process sensor input while at the same time producing displayed human blood group type on the display screen. The test is carried out involving 12 blood samples and a medical officer. Medical officer are tasked reading directly the results of mixing between reagents and blood samples, after that are compared with the system. The results show that the deviation of the system reading is 0.167 for the sensor reading distance with the sample as far as 0.5 cm.
A fuzzy analytic hierarchy process model to enhance energy security: the case of Morocco
Authors: Tajani Zakariyae , Tajani Chakir , Sabbane Mohamed
Published: June 2024

Energy security has become increasingly important because of its impact on all sectors of the economy, and even more because of the scarcity of primary energy resources and price fluctuations caused by geopolitical tensions. This has prompted all countries to assess their energy situation and take strategic measures to mitigate energy risks. Accordingly, the aim of this study is to identify the dimensions of energy security with the greatest impact on Morocco's energy security, as well as the priority strategic measures for mitigating energy risk. To this end, we consider the fuzzy analytic hierarchy process (F-AHP) method, which is a multiple criteria decision analysis method, which has been used to obtain results based on a structured evaluation process. The obtained results, following the considered comparison matrix, underscore that availability and resilience dimensions have the greatest impact on the Moroccan energy security, with respective weights of 48% and 28%. Besides, mitigating energy risk in Morocco primarily involves the development of renewable energies compared with seven other proposed measures, along with their degree of priority.
Robust hybrid control strategy for active power management in Kabertene wind farm within Algeria’s PIAT grid
Authors: Abderrazak Tadjeddine Ali , Iliace Arbaoui , Hichem Hamiani , Mohamed Sofiane Bendelhoum , Ridha Ilyas Bendjillali
Published: June 2024

The paper introduces a hybrid control strategy for optimised active power management in Algeria's Kabertene wind farm, crucial for the pole insalah-adrar-timimoune (PIAT) grid's stability. This strategy merges simultaneous interconnection and damping assignment (SIDA) passivity theory, passivity-based control (PBC), and multivariable proportional-integral-derivative (PID) controllers. This combined approach ensures frequency and voltage stability within the PIAT grid, which encompasses various elements like wind farms, solar plants, gas turbines, and dynamic impedance (Z), current (I), and active power (P) (D-ZIP), load model. By tailoring controllers for doubly fed induction generators (DFIGs) using SIDA-PBC principles and optimising internal parameters, the strategy achieves precise control of active power output. Additionally, particle swarm optimisation (PSO) refines power scheduling, which is especially beneficial for intermittent renewable sources like DFIGs. This comprehensive strategy offers numerous advantages: improved network stability, minimized voltage deviations, reduced frequency fluctuations, and enhanced integration of renewable energy sources. The paper emphasises practical implementation considerations, providing valuable guidance for efficient Kabertene wind farm operation and integration. This research contributes significantly to fostering cleaner and more reliable energy systems, facilitating the PIAT grid's transition towards sustainable energy generation.
Internet of things and radio frequency identification based embedded system to reduce shopping time in supermarkets
Authors: Espino Cesar Solis , Vargas Favio Guerrero , Paiva-Peredo Ernesto , Segura Guillermo Wenceslao Zarate
Published: June 2024

Doing daily shopping in a Peruvian supermarket means a large investment of time for many people, usually due to inaccurate and faulty scanning of products by barcodes at supermarket checkout counters. For this reason, an embedded system based on internet of things (IoT) and radio frequency identification (RFID) is designed to reduce shopping time in a supermarket. The system uses an ESP32 development board with embedded hardware specialized in IoT projects and firmware development based on C language and real-time operating systems (FreeRTOS) through espressif’s IoT development framework (ESP-IDF). RFID tags were used to scan the products and IoT with message queuing telemetry transport (MQTT) communication protocol are implemented to a local database in real time. The system achieves a significant reduction in terms of scanning time compared to self-service checkouts using barcodes, which allows to statistically analyze the reduced time per quantity of products and the linear trend of the 2 samples.
Detection and mitigation of DDoS attacks in SDN based intrusion detection system
Authors: Chouikik Meryem , Ouaissa Mariyam , Ouaissa Mariya , Boulouard Zakaria , Kissi Mohamed
Published: June 2024

Software defined networks (SDN) have completely revolutionized the management and operation of networks. This novel technology entails a distinctive approach to management. Amidst the advancements, a notable security concern arises in the form of distributed denial of service (DDoS) attacks. To counteract this attack, the deployment of intrusion detection systems (IDS) assumes paramount importance. IDS plays a critical role in monitoring network traffic, promptly detecting irregularities that may signify a potential denial of service (DoS) assault. This study delves into a comprehensive exploration of a DDoS attack on an SDN network using the OpenDaylight controller and the Mininet emulator. Furthermore, the assessment extends to evaluating the DDoS attack's repercussions and the effectiveness of IDS in mitigating such risks. Various performance metrics, including throughput according to delay time, are monitored to gauge network performance under duress. The difference in throughput curves when comparing scenarios with and without IDS highlights the significant impact of intrusion detection. When the IDS was absent, there was a noticeable increase in oscillations, indicating greater network susceptibility. On the other hand, the presence of an IDS created a more regulated environment, reducing variances and promoting a more stable network.
Ultra-low-power super class-AB adaptive biasing operational transconductance amplifier with enhanced gain for biomedical applications
Authors: Pandey Rakesh Kumar , Bhadauria Vijaya , Singh Vinod Kumar
Published: June 2024

The operational transconductance amplifier (OTA) proposed in this article is a bulk-driven (BD), single-stage, super-class-AB, adaptive biasing, functioning in the subthreshold region (ST) with an enormously low power supply of ± 0.25 V, providing high-gain. The input core of the OTA circuit is composed of adaptively biased BD differential input pairs based on flipped voltage follower (FVF), which drive in class-AB mode with a partial positive feedback (PPF) approach. The circuit additionally employs FVF and self-cascode (SC)-based low-power current mirror loads at its output to obtain significantly high gain and unity gain frequency. In addition, using adaptive loads based on source-degenerated metal oxide semiconductor (MOS) resistors raises dynamic current more efficiently, consequently improving the slew rate and unity gain frequency (UGF) without drawing additional power. Employing the cadence spectre tool and the UMC 0.18 μm complementary metal oxide semiconductor (CMOS) process technology, the designed OTA has been simulated. The simulation outcomes substantiate that the amplifier provides high open loop DC gain of 75 dB, 18.75 kHz UGF with a phase margin of 63.93º, and input-referred noise (IRN) of 0.734 µV/Hz0.5 at 1 kHz frequency. The proposed OTA consumes just 60.15 nW of power. The performance results confirmed that the proposed OTA circuit is appropriate in biomedical applications.
An inquiry smart chatbot system for Al-Zaytoonah University of Jordan
Authors: Al-Madi Nagham Azmi , Abu Maria Khulood , Al-Madi Mohammad Azmi , Abu Maria Eman
Published: June 2024

Chatbots are important in artificial intelligence (AI) and natural language processing (NLP). The development of the chatbot is viewed as a continuous issue in the field. This is suitable for Arabic chatbots that are not widely available. This study aims to fill the gap in Arabic chatbot development by creating an Arabic chatbot system for university admissions. The system uses a deep neural network model and a manually constructed dataset for conversation pairings, utilizing the Jordanian Arabic dialect from Al-Zaytoonah University of Jordan’s (ZUJ) website. The system efficiently answers most user queries, improving the counseling experience and reducing workload in the admissions department. The adoption of this system also minimizes website traffic congestion. The study contributes to the improvement of Arabic chatbot technology by creating a deep learning-based system optimized for university admissions, demonstrating its potential impact in the Arabic-speaking context. Future research can further enhance the system’s capabilities and its applicability in other disciplines.
Application of the outlier detection method for web-based blood glucose level monitoring system
Authors: Nurhaliza Rachma Aurya , Octava Muhammad Qois Huzyan , Hilmy Farhan Mufti , Farooq Umar , Alfian Ganjar
Published: June 2024

Recent advancements in biosensors have empowered individuals with diabetes to autonomously monitor their blood glucose levels through continuous glucose monitoring (CGM) sensors. Nevertheless, the data collected from these sensors may occasionally include outliers due to the inherent imperfections of the sensor devices. Consequently, the identification of these outliers is critical to determine whether blood glucose levels deviate significantly from the norm, necessitating further action. This study employs an outlier detection approach based on the 3-sigma method and the interquartile range (IQR), along with the application of the Winsorizing technique to correct the identified outliers. Additionally, a web-based system for visualizing blood glucose levels is developed, utilizing both outlier detection methods. In order to assess the system's performance, two types of testing are conducted: black box testing and load testing. The results of black box testing indicate that all test scenarios operate as anticipated. As for the load testing response times, it is observed that the 3-sigma visualization page loads an average of 606.75 milliseconds faster compared to the IQR visualization page. This study's outcomes are expected to enhance data quality, enhance the precision of analyses, and facilitate more informed decision-making by identifying and addressing extreme data points.
Optimal placement of wind turbine in distribution grid to minimize energy loss considering power generation probability
Authors: Phan Dinh Chung , Trinh Trung Hieu , Ha Dinh Truc
Published: June 2024

This research proposes an algorithm to determine the optimal position of wind turbines in a distribution grid for minimizing its annual energy loss. In this paper, the probability distribution of power generation at each wind turbine node is considered and the nonsimultaneous occurrence of the power generation at wind turbine nodes is also interested. Moreover, we also consider the wind energy exploitability at each node in the grid. This algorithm is coded in MATLAB environment and it is verified via a sample IEEE 33 bus distribution grid with a sample data of power generation probability. The verifying results indicated that the optimal number of wind turbines at each node to obtain a minimal annual energy loss. Results also indicated that the node voltage is varied because of the change of power generation; however, the voltage at all nodes is in normal operation range and its median value is between about 1.01 pu to 1.05 pu. The power factor of wind turbines has an impact on the optimal number of wind turbines at nodes and the efficiency of wind turbine installation.
Streamlined multi-scenario revocation method leveraging blockchain and auxiliary trees
Authors: Satish Babu Battula Venkata , Babu Kare Suresh , Kare Durga Prasad
Published: June 2024

Access revocation is a fundamental aspect of modern information systems, ensuring that data remains secure and authorized personnel have appropriate access rights. However, existing access revocation methods address only one type of scenario, offering either partial or complete revocation functionalities but not both, leading to limitations in flexibility and effectiveness. This paper introduces a novel approach called streamlined multi-scenario revocation method (SMSRM) that combines block chain technology and auxiliary trees to streamline the process of multi-scenario access revocation. The SMSRM method defines two separate revoke request formats for partial and complete revocation. Auxiliary trees are used to keep track of non-revoked users, which is very important during the revocation process. In addition, the proposed method utilizes a block chain to record each and every revocation-related operation to provide forward secrecy. Through a comparative analysis, we evaluate the performance of our approach against existing methods. The results highlight that our method performs better in terms of response time and various performance metrics.