bluuebunny/crossref_metadata_2025 huggingface dataset:
Supplementary Figure S11 from Structural Basis for Multivalent MUC16 Recognition and Robust Anti-Pancreatic Cancer Activity of Humanized Antibody AR9.6
Authors: Aguilar Eric N. , Sagar Satish , Murray Brandy R. , Rajesh Christabelle , Lei Eric K. , Michaud Sarah A. , Goodlett David R. , Caffrey Thomas C. , Grandgenett Paul M. , Swanson Benjamin , Brooks Teresa M. , Black Adrian R. , van Faassen Henk , Hussack Greg , Henry Kevin A. , Hollingsworth Michael A. , Brooks Cory L. , Radhakrishnan Prakash
Published: June 2024

Figure S11 – Summary of HuAR9.6 Proposed Mechanism of Action. . In summary, huAR9.6 mAb binds with MUC16 positive PDAC and reduces tumor growth via 1) inhibiting the activation of MUC16-mediated ErbB signaling, and 2) inducing antibody-dependent cytotoxicity (ADCC) and 3) complement-dependent cytotoxicity (CDC).
Figure S3 from Evaluation of the Role of AXL in Fusion-positive Pediatric Rhabdomyosarcoma Identifies the Small-molecule Inhibitor Bemcentinib (BGB324) as Potent Chemosensitizer
Authors: Danielli Sara G. , Wurth Jakob , Morice Sarah , Kisele Samanta , Surdez Didier , Delattre Olivier , Bode Peter K. , Wachtel Marco , Schäfer Beat W.
Published: June 2024

Effect of the small-molecule AXL inhibitors.
Supplementary Figure S1 from Structural Basis for Multivalent MUC16 Recognition and Robust Anti-Pancreatic Cancer Activity of Humanized Antibody AR9.6
Authors: Aguilar Eric N. , Sagar Satish , Murray Brandy R. , Rajesh Christabelle , Lei Eric K. , Michaud Sarah A. , Goodlett David R. , Caffrey Thomas C. , Grandgenett Paul M. , Swanson Benjamin , Brooks Teresa M. , Black Adrian R. , van Faassen Henk , Hussack Greg , Henry Kevin A. , Hollingsworth Michael A. , Brooks Cory L. , Radhakrishnan Prakash
Published: June 2024

Fig. S1. Monovalent binding affinity of mAR9.6 and huAR9.6 Fab fragments to recombinant MUC16 SEA domain fragments. (A) Representative SPR sensograms of the interaction of mAR9.6 and huAR9.6 Fab fragments with MUC16 fragments (Trx-1.2TR, SEA5, glycosylated 1.2TR) immobilized on a CM5 sensor chip; (B) Representative SPR sensograms of the interaction of huAR9.6 Fab with MUC16 fragments (glycosylated 1.7TR and glycosylated SEA10-15) immobilized on CAP S and CM5 sensor chips; (C) Representative SPR sensograms of the interaction of MUC16 captured from OVCAR-3 cell supernatant using anti-MUC16 IgG (B43.13/3A5 or huAR9.6) immobilized on a CM7 sensor chip. HuAR9.6 Fab or anti-EGFR VHH (control) were flowed over the surfaces. In all sensograms black lines represent raw data points; red lines are fits to a 1:1 binding model.
Data from ATPase Copper Transporting Beta (ATP7B) Is a Novel Target for Improving the Therapeutic Efficacy of Docetaxel by Disulfiram/Copper in Human Prostate Cancer
Authors: Song Liankun , Nguyen Vyvyan , Xie Jun , Jia Shang , Chang Christopher J. , Uchio Edward , Zi Xiaolin
Published: June 2024

Abstract
Docetaxel has been the standard first-line chemotherapy for lethal metastatic prostate cancer (mPCa) since 2004, but resistance to docetaxel treatment is common. The molecular mechanisms of docetaxel resistance remain largely unknown and could be amenable to interventions that mitigate resistance. We have recently discovered that several docetaxel-resistant mPCa cell lines exhibit lower uptake of cellular copper and uniquely express higher levels of a copper exporter protein ATP7B. Knockdown of ATP7B by silencing RNAs (siRNA) sensitized docetaxel-resistant mPCa cells to the growth-inhibitory and apoptotic effects of docetaxel. Importantly, deletions of ATP7B in human mPCa tissues predict significantly better survival of patients after their first chemotherapy than those with wild-type ATP7B (P = 0.0006). In addition, disulfiram (DSF), an FDA-approved drug for the treatment of alcohol dependence, in combination with copper, significantly enhanced the in vivo antitumor effects of docetaxel in a docetaxel-resistant xenograft tumor model. Our analyses also revealed that DSF and copper engaged with ATP7B to decrease protein levels of COMM domain–containing protein 1 (COMMD1), S-phase kinase–associated protein 2 (Skp2), and clusterin and markedly increase protein expression of cyclin-dependent kinase inhibitor 1 (p21/WAF1). Taken together, our results indicate a copper-dependent nutrient vulnerability through ATP7B exporter in docetaxel-resistant prostate cancer for improving the therapeutic efficacy of docetaxel.
Supplementary Table S7 from Systematic Characterization of p53-Regulated Long Noncoding RNAs across Human Cancers Reveals Remarkable Heterogeneity among Different Tumor Types
Authors: Regunath Kausik , Fomin Vitalay , Liu Zhaoqi , Wang Pingzhang , Hoque Mainul , Tian Bin , Rabadan Raul , Prives Carol
Published: June 2024

Supplementary Table S7 shows p53LTCC LncRNAs deleted in five different cancers
Supplementary Table S4 from Systematic Characterization of p53-Regulated Long Noncoding RNAs across Human Cancers Reveals Remarkable Heterogeneity among Different Tumor Types
Authors: Regunath Kausik , Fomin Vitalay , Liu Zhaoqi , Wang Pingzhang , Hoque Mainul , Tian Bin , Rabadan Raul , Prives Carol
Published: June 2024

Supplementary Table S4 shows p53LTCC lncRNAs (activated and repressed) associated with patient survival in prostate cancers.
Supplementary Figure S1 from Systematic Characterization of p53-Regulated Long Noncoding RNAs across Human Cancers Reveals Remarkable Heterogeneity among Different Tumor Types
Authors: Regunath Kausik , Fomin Vitalay , Liu Zhaoqi , Wang Pingzhang , Hoque Mainul , Tian Bin , Rabadan Raul , Prives Carol
Published: June 2024

Supplementary Figure S1 shows cell cycle profiles, volcano plots, heatmap and quantification of p53 levels from HCT116 cells treated with control or drugs
Supplementary Table S2 from PIGA Mutations and Glycosylphosphatidylinositol Anchor Dysregulation in Polyposis-Associated Duodenal Tumorigenesis
Authors: Meuser Elena , Chang Kyle , Walters Angharad , Hurley Joanna J. , West Hannah D. , Perry Iain , Mort Matthew , Reyes-Uribe Laura , Truscott Rebekah , Jones Nicholas , Lawrence Rachel , Jenkins Gareth , Giles Peter , Dolwani Sunil , Al-Sarireh Bilal , Hawkes Neil , Short Emma , Williams Geraint T. , Taggart Melissa W. , Luetchford Kim , Lynch Patrick M. , Terlouw Diantha , Nielsen Maartje , Walton Sarah-Jane , Latchford Andrew , Clark Susan K. , Sampson Julian R. , Vilar Eduardo , Thomas Laura E.
Published: June 2024

Germline and somatic mutations in FAP patient derived duodenal organoids
Supplementary Figure S3 from PIGA Mutations and Glycosylphosphatidylinositol Anchor Dysregulation in Polyposis-Associated Duodenal Tumorigenesis
Authors: Meuser Elena , Chang Kyle , Walters Angharad , Hurley Joanna J. , West Hannah D. , Perry Iain , Mort Matthew , Reyes-Uribe Laura , Truscott Rebekah , Jones Nicholas , Lawrence Rachel , Jenkins Gareth , Giles Peter , Dolwani Sunil , Al-Sarireh Bilal , Hawkes Neil , Short Emma , Williams Geraint T. , Taggart Melissa W. , Luetchford Kim , Lynch Patrick M. , Terlouw Diantha , Nielsen Maartje , Walton Sarah-Jane , Latchford Andrew , Clark Susan K. , Sampson Julian R. , Vilar Eduardo , Thomas Laura E.
Published: June 2024

The gating tree was set as follows, shown for an organoid line without a PIGA somatic variant. A: FSC/SSC to isolate cells (represents the distribution of cells in the light scatter based on size and intracellular composition, respectively) to B: FSC-A/FSC-H (selects for single cells) to C: live gate (DRAQ7 negative, which represents the fraction of viable cells within the sample analysed) to D: SSC-A/FITC-A positive (selecting for FLAER positive cells). SSC-A/FITC-A gates of an unstained sample (E) and PIGA- sample (F) is included for comparison.
Figure 1 from PIGA Mutations and Glycosylphosphatidylinositol Anchor Dysregulation in Polyposis-Associated Duodenal Tumorigenesis
Authors: Meuser Elena , Chang Kyle , Walters Angharad , Hurley Joanna J. , West Hannah D. , Perry Iain , Mort Matthew , Reyes-Uribe Laura , Truscott Rebekah , Jones Nicholas , Lawrence Rachel , Jenkins Gareth , Giles Peter , Dolwani Sunil , Al-Sarireh Bilal , Hawkes Neil , Short Emma , Williams Geraint T. , Taggart Melissa W. , Luetchford Kim , Lynch Patrick M. , Terlouw Diantha , Nielsen Maartje , Walton Sarah-Jane , Latchford Andrew , Clark Susan K. , Sampson Julian R. , Vilar Eduardo , Thomas Laura E.
Published: June 2024

A,PIGA mutations identified in 19 duodenal adenomas and two duodenal adenoma patient-derived organoid lines. Relative location in comparison with known protein domains is shown. B, The VAF of four types of somatic mutation (exonic − synonymous/missense + indels/nonsense; all other mutations) for all adenomas analyzed from FAP and MAP patients. For each duodenal adenoma sample, all somatic mutations are shown as circles indicating the allelic frequency of the respective mutant alleles. The median VAF per sample is represented with a red bar. The APC VAFs are indicated in blue and PIGA in purple. The total number of somatic mutations in each adenoma sample is displayed in the lower graph.
Supplementary Table 3 from Surgical Tumor Resection Deregulates Hallmarks of Cancer in Resected Tissue and the Surrounding Microenvironment
Authors: Chaubal Rohan , Gardi Nilesh , Joshi Shalaka , Pantvaidya Gouri , Kadam Rasika , Vanmali Vaibhav , Hawaldar Rohini , Talker Elizabeth , Chitra Jaya , Gera Poonam , Bhatia Dimple , Kalkar Prajakta , Gurav Mamta , Shetty Omshree , Desai Sangeeta , Krishnan Neeraja M. , Nair Nita , Parmar Vani , Dutt Amit , Panda Binay , Gupta Sudeep , Badwe Rajendra
Published: June 2024

Supplementary Table 3 shows the Hallmarks, Canonical Pathways, and Gene Ontologies with FDR q-value <0.05 enriched in MSigDB for significantly de-regulated genes in each comparison (AvB, BvC and AvC) in individual patient time-series analysis for breast cancer.
Data from lncRNA JPX Promotes Tumor Progression by Interacting with and Destabilizing YTHDF2 in Cutaneous Melanoma
Authors: Luo Dan , Tang Hui , Tan Liuchang , Zhang Long , Wang Lei , Cheng Qionghui , Lei Xia , Wu Jinjin
Published: June 2024

Abstract
Aberrant long noncoding RNAs just proximal to Xist (lncRNA JPX) expression levels have been detected in multiple tumors. However, whether JPX is involved in melanoma progression remains unclear. Our study showed that JPX expression is significantly increased in melanoma tissues and cell lines. To clarify the effect of JPX on cutaneous melanoma, we successfully generated JPX-overexpressing or JPX-knockdown A375 and A2058 cells. CCK-8, colony formation EdU, Transwell, and cell-cycle phase assays were performed, and subcutaneously implanted tumor models were used to determine the function of JPX in cutaneous melanoma. The results showed that JPX knockdown reduced the proliferation and migration of malignant melanoma cells both in vitro and in vivo. To further elucidate the molecular mechanism of JPX-induced cutaneous melanoma deterioration, we performed RNA pull-down, RNA immunoprecipitation, coimmunoprecipitation, Western blot, and RNA-sequence analyses. JPX can directly interact with YTHDF2 and impede the protection of YTHDF2 from ubiquitin-specific protease 10 (USP10), which promotes its deubiquitination. Thus, JPX decreases protein stability and promotes the degradation of YTHDF2, thereby stabilizing BMP2 mRNA and activating AKT phosphorylation. Overall, our study revealed a novel effect of JPX on YTHDF2 ubiquitination, suggesting the possibility of blocking the JPX/USP10/YTHDF2/BMP2 axis as a prospective therapeutic approach for cutaneous melanoma.
Implications:
This study highlights the ubiquitination effect of USP10 and JPX on YTHDF2 in cutaneous melanoma, and proposes that the JPX/USP10/YTHDF2/BMP2 axis may be a prospective therapeutic target for cutaneous melanoma.
Supplementary Table 3 from Low-Carbohydrate Diet Score and Risk of Hepatocellular Carcinoma: Findings from a Prospective Cohort Study
Authors: Pham Yen Thi-Hai , Jin Aizhen , Wang Renwei , Behari Jaideep , Koh Woon-Puay , Yuan Jian-Min , Luu Hung N.
Published: June 2024

Supplementary Table 3. Association Between Low-carbohydrate Diet (LCD) score and Risk of Hepatocellular Carcinoma: the Singapore Chinese Health Study, 1993-2015
After Excluding Incident Cases and Person-Years Observed
in the First Two Years Post-Enrollment
Supplementary Table 1 from Low-Carbohydrate Diet Score and Risk of Hepatocellular Carcinoma: Findings from a Prospective Cohort Study
Authors: Pham Yen Thi-Hai , Jin Aizhen , Wang Renwei , Behari Jaideep , Koh Woon-Puay , Yuan Jian-Min , Luu Hung N.
Published: June 2024

Supplementary Table 1. Criteria for Determining the Low-carbohydrate Diet Score
Supplementary Tables S1-S7 from The ω-3 Polyunsaturated Fatty Acid Docosahexaenoic Acid Enhances NK-Cell Antitumor Effector Functions
Authors: Wu Shuting , Peng Hongyan , Li Songyang , Huang Lanlan , Wang Xiangyu , Li Yana , Liu Yongjie , Xiong Peiwen , Yang Qinglan , Tian Kunpeng , Wu Weiru , Pu Rongxi , Lu Xiulan , Xiao Zhenghui , Yang Jian , Zhong Zhaoyang , Gao Yuan , Deng Yafei , Deng Youcai
Published: June 2024

Supplementary tables
Figure S5 from The Neo-Open Reading Frame Peptides That Comprise the Tumor Framome Are a Rich Source of Neoantigens for Cancer Immunotherapy
Authors: Martin Michael V. , Aguilar-Rosas Salvador , Franke Katka , Pieterse Mark , Langelaar Jamie van , Schreurs Renée , Bijlsma Maarten F. , Besselink Marc G. , Koster Jan , Timens Wim , Khasraw Mustafa , Ashley David M. , Keir Stephen T. , Ottensmeier Christian H. , King Emma V. , Verheij Joanne , Waasdorp Cynthia , Valk Peter J.M. , Engels Sem A.G. , Oostenbach Ellen , van Dinter Jip T. , Hofman Damon A. , Mok Juk Yee , van Esch Wim J.E. , Wilmink Hanneke , Monkhorst Kim , Verheul Henk M.W. , Poel Dennis , Hiltermann T. Jeroen N. , Kempen Léon C.L.T. van , Groen Harry J.M. , Aerts Joachim G.J.V. , Heesch Sebastiaan van , Löwenberg Bob , Plasterk Ronald , Kloosterman Wigard P.
Published: June 2024

Figure S5: Long-read transcript sequencing statistics.
Supplementary Table 1 from The Exonuclease TREX1 Constitutes an Innate Immune Checkpoint Limiting cGAS/STING-Mediated Antitumor Immunity
Authors: Lim Junghyun , Rodriguez Ryan , Williams Katherine , Silva John , Gutierrez Alan G. , Tyler Paul , Baharom Faezzah , Sun Tao , Lin Eva , Martin Scott , Kayser Brandon D. , Johnston Robert J. , Mellman Ira , Delamarre Lélia , West Nathaniel R. , Müller Sören , Qu Yan , Heger Klaus
Published: June 2024

Top 30 genes contributing to mNMFs1-9 (related to Figure 3 and Supplementary Figure 5)
Supplementary File 2 from Randomized Phase II Study Evaluating the Addition of Pembrolizumab to Radium-223 in Metastatic Castration-resistant Prostate Cancer
Authors: Choudhury Atish D. , Kwak Lucia , Cheung Alexander , Allaire Kathryn M. , Marquez Jaqueline , Yang David D. , Tripathi Abhishek , Kilar Jacqueline M. , Flynn Meredith , Maynard Brianna , Reichel Rebecca , Pace Amanda F. , Chen Brandon K. , Van Allen Eliezer M. , Kilbridge Kerry , Wei Xiao X. , McGregor Bradley A. , Pomerantz Mark M. , Bhatt Rupal S. , Sweeney Christopher J. , Bubley Glenn J. , Jacene Heather A. , Taplin Mary-Ellen , Huang Franklin W. , Harshman Lauren C. , Fong Lawrence
Published: June 2024

Supplementary File 2
Supplemental Table 3 from Randomized Phase II Study Evaluating the Addition of Pembrolizumab to Radium-223 in Metastatic Castration-resistant Prostate Cancer
Authors: Choudhury Atish D. , Kwak Lucia , Cheung Alexander , Allaire Kathryn M. , Marquez Jaqueline , Yang David D. , Tripathi Abhishek , Kilar Jacqueline M. , Flynn Meredith , Maynard Brianna , Reichel Rebecca , Pace Amanda F. , Chen Brandon K. , Van Allen Eliezer M. , Kilbridge Kerry , Wei Xiao X. , McGregor Bradley A. , Pomerantz Mark M. , Bhatt Rupal S. , Sweeney Christopher J. , Bubley Glenn J. , Jacene Heather A. , Taplin Mary-Ellen , Huang Franklin W. , Harshman Lauren C. , Fong Lawrence
Published: June 2024

Proportion of patients who experienced any or given category of symptomatic skeletal events by the treatment arms
Supplementary figure 1 from B7-H3–Targeting Chimeric Antigen Receptors Epstein-Barr Virus–specific T Cells Provides a Tumor Agnostic Off-The-Shelf Therapy Against B7-H3–positive Solid Tumors
Authors: Yeo Siok Ping , Kua Lindsay , Tan Jin Wei , Lim Joanna Kristyn , Wong Fiona HS , Santos May Delos , Poh Chek Meng , Goh Angeline XH , Koh Xin Yu , Zhou Xiaohua , Rajarethinam Ravisankar , Chen Qingfeng , Her Zhisheng , Horak Ivan D. , Low Lionel , Tan Kar Wai
Published: June 2024

Supplementary figure 1
Hand Dystonia after Focused Ultrasound Thalamotomy in Essential Tremor
Authors: Cuony Johanna , Lorton Orane , Tomkova Chaoui Emilie , Comet Camille , Schaller Karl , Salomir Rares , Momjian Shahan , Fleury Vanessa
Published: June 2024

Introduction: Magnetic resonance guided focused ultrasound (MRgFUS) thalamotomy is an effective treatment for drug-resistant tremor. The most frequent side effects are ataxia, gait disturbance, paresthesias, dysgeusia, and hemiparesis. Here, we report the first case of thalamic hand dystonia rapidly occurring after MRgFUS thalamotomy of the ventral intermediate nucleus (V.im). Case Presentation: MRgFUS thalamotomy was performed in a 60-year-old left-handed patient for his disabling medically refractory essential tremor. The intervention resulted in a marked reduction of his action tremor. However, the patient developed an unvoluntary abnormal posture in his left hand a few days after the procedure with difficulty holding a cigarette between his fingers. Brain MRI revealed the expected MRgFUS lesion within the right V.im as well as an extension of the lesion anteriorly to the V.im in the ventro-oralis nucleus. Tractography showed that the lesion disrupted the dentato-rubro-thalamic tract as expected with a lesion suppressing tremor. However, the lesion also was interrupted fibers connecting to the superior frontal and pre-central cortices (primary motor cortex, premotor cortex, and supplementary area). We hypothesized that the interventional MRgFUS thalamotomy was slightly off target, which induced a dysfunction within the cortico-striato-thalamo-cortical network and the cerebello-thalamo-cortical pathway reaching a sufficient threshold of basal ganglia/cerebellum circuitry interference to induce dystonia. Conclusion: This rare side effect emphasizes the risk of imbalance within the dystonia network (i.e., basal ganglia-cerebello-thalamo-cortical circuit) secondary to V.im thalamotomy.
Advanced particle swarm optimization for efficient and fast global maximum power point tracking under partial shading conditions
Authors: El Moujahid Yassine , El Harfaoui Nadia , Hadjoudja Abdelkader , Benlafkih Abdessamad
Published: June 2024

Partial shading (PS) is a common issue in photovoltaic systems (PVs), and it can significantly reduce the system's output power. This paper presents the advanced particle swarm optimization (APSO) algorithm. APSO is designed to alleviate the challenges posed by PS in PVs in from where of effectiveness and stability speed so that it works to achieve and maintain the global maximum power point (GMPP) under PS conditions. It leverages persistent variables to store and track system states and iterations; it also includes checks to ensure that the duty cycle remains within specified bounds facilitating more effective optimization. Additionally, APSO optimizes solar panel duty cycles and velocities to converge toward an optimal solution to improve overall power generation efficiency and settling time. The results evaluation involves testing the performance of photovoltaic panels under three different shading scenarios and comparative analysis against recent Heuristic-optimization-based GMPP techniques, this study and comparative analyses demonstrate APSO's effectiveness and superiority in terms of high efficiency that reaches 99.85% and fast settling time of GMPP at less than 0.01 second across all test cases. APSO presents a promising solution for maximizing PV power output in the presence of partial shading.
Comparison performance study of singly-fed and doubly-fed induction generators-based bond-graph wind turbines model
Authors: Kadiman Sugiarto , Yuliani Oni
Published: June 2024

This paper consecrates to a comparative performance study of singly-fed and doubly-fed of induction generators thrusted by wind power turbine of similar generation capacity of 2.5 kW, and constant or variably wind speed. The singly-fed induction generator model could be represented using natural reference frame and doubly-fed induction generator model is described using a Park reference frame. Because of several physical domains existing in both induction generators like mechanical and electrical, modeling of generators is difficult, therefore the modeling based on physical methods takes a high credibility under these conditions. Among the procedures is Bond-graph method that models the systems based on law of mass conservation and/or law of energy conservation containing in the systems. Modeling the parts of both singly-fed and double-fed induction generators are based on Bond-graph method. We found that the impact of stator coil winding for on the current is in the form of changes of its value and steady state intervals; increasing the number of stator coil windings may also lead to increased stator current and the longer their steady state interval. Our study demonstrates also that doubly-fed induction generator possesses advantages compared to singly-fed induction generator, namely better current quality output and an adaptation to fluctuating wind speeds. The performance study is done in constant and variably wind speeds using simulated results of 20-Sim software.
Dissolved gas analysis comparison of electrically stressed methyl ester and mineral oil
Authors: Rajab Abdul , Andre Hanalde , Pawawoi Andi , Baharuddin Baharuddin , Gumilang Harry
Published: June 2024

Methyl ester is considered one of the alternative substitutes to mineral oil as an insulating liquid. This study investigates the dissolved gas analysis (DGA) of the methyl ester derived from palm oil, under low energy discharge faults. The aims are to understand the gas composition and evaluate the applicability of the well-established fault interpretation methods for mineral oil to the methyl ester. Experimental procedures were conducted based on the International Electrotechnical Commission (IEC) standards. It involved simulating electrical breakdowns in laboratory conditions as per IEC-156 standard and analyzing gas samples using gas chromatography based on IEC-567. Results show that methyl ester oils produce similar types of gases as mineral oils but at higher concentrations. The interpretation of DGA results using fault identification methods such as Duval Triangle, Duval Pentagon, and IEC ratio indicates an overestimation of fault severity in methyl ester oils, and categorizing the faults as high energy discharge. However, the key gas method correctly identifies the discharge in both methyl ester and mineral oils. These findings suggest the need for adjustments in existing DGA methods to account for the higher gas concentrations in methyl ester oils, for effective condition monitoring and maintenance of transformers if it was filled with methyl ester oil.
Active balancing system in battery management system for Lithium-ion battery
Authors: Ness Stephanie , Boujoudar Younes , Aljarbouh Ayman , Elyssaoui Lahcen , Azeroual Mohamed , Zahra Bassine Fatima , Rele Mayur
Published: June 2024

The existing battery management systems perform many functions, such as simply monitoring the battery's voltage, current, and temperature for the most basic and compensating energy imbalances between battery cells for the most advanced systems. In this last example, the function balancing helps protect the battery from obtaining a better lifespan. However, these systems with such functions remain complex because they involve techniques specific to power electronics and energy conversion. The number of components, implementation complexity, and cost increased. The work presented in this paper fits directly into this context. The main objective is to provide a solution to the problem of battery management and careful pack cell balancing. The proposed system aims to balance the battery pack cells based on the intermediate state of charge by charging or discharging the imbalanced cell. The implementation of the proposed control strategy was for a battery pack composed of five cells under MATLAB/Simulink.
Novel hybrid of marine predator algorithm-Aquila optimizer for droop control in DC microgrid
Authors: Aribowo Widi , Suryoatmojo Heri , Pamuji Feby Agung
Published: June 2024

This study presents a hybrid method, namely the marine predator algorithm (MPA) and Aquila optimizer (AO). The proposed algorithm is named MAO. AO duplicated the existence of the Aquila bird in nature while hunting for prey while MPA was inspired by predators in marine animal life. Although AO is widely accepted, it has several disadvantages. This causes various weaknesses such as a weak exploitation phase and slow growth of the convergence curve. Thus, certain exploitation and exploration in conventional AO can be studied to achieve the best balance. The MPA demonstrates the capacity to deliver optimal design and statistically efficient outcomes. The proposed method used AO as the main algorithm. To measure the performance of the proposed method, this study depicted a comparison using the AO, MPA, and whale optimization algorithm (WOA) methods. This paper was evaluated the performance of MAO on twenty-one CEC2017 benchmark functions test and droop control performance on direct current (DC) microgrid. From the simulation, MAO shows superior convergence ability. The proposed method and its application to droop control was successfully implemented and implied a promising performance.
Modeling and simulation for flashover location determination on 150 kV insulator string
Authors: Warmi Yusreni , Amalia Sitti , Zulkarnaini Zulkarnaini , Dasman Dasman , Bachtiar Antonov , Anthony Zuriman , Azhar Hamdi
Published: June 2024

The 150 kV Payakumbuh-Koto Panjang transmission line in West Sumatra is located in an area with high lightning activity. Based on Meteorological, Climatological, and Geophysical Agency (BMKG) data (2017-2023), the average number of lightning days per year (IKL: isokeraunic level) reaches 165-173 days/year, and 79% of the transmission towers are located in hilly and rocky areas. This causes contamination of the insulator, which can reduce its performance and cause flashovers in the insulator circuit. However, in the field, finding flash points in insulators is still a challenge. Therefore, simulation must be used as a tool to determine the location of flashover in an insulator circuit that is affected by temperature and humidity. Simulation by modeling flashover provides an effective solution for determining the location of flashover in insulator circuits, which is the novelty of this research. This research compares laboratory test results with manual calculations modeled using Visual Basic 6. The research results show that temperature and humidity have a significant influence on determining the flashover voltage value on the insulator. The flashover locations during the test are the same as the calculated flashover locations, as shown by these simulations and modeling.
Multi-temporal assessment of wind, solar, and hydropower resources for off-grid microgrid
Authors: Odetoye Oyinlolu Ayomidotun , Kehinde Olulope Paul , Olabisi Olanrewaju Matthew , Olusola Alimi Adeleke
Published: June 2024

For a proposed multi-source all-renewable microgrid in Nigeria’s Middle-belt region, this paper presents a multi-temporal approach to the investigation of the uncertainty in the potential of renewable energy resources. The wind, solar, and hydropower resources for a proposed multi-source all-renewable off-grid community microgrid are considered using an array of probabilistic techniques. The peculiar variances in the location’s climate throughout the year make the more common method of annual models of renewable resources unsuitable for power system planning. Consequently, a more granular model of its renewable resources over time is needed. Therefore, for the chosen location, for each renewable resource, a composite multitemporal maximum-likelihood estimation-based (MLE) probabilistic model for characterization is developed. A total of 39 probabilistic models are developed. Up to 40% improvement in the accuracy of the statistical measures for renewable resource uncertainty was observed. Multi-temporal approach provides more accurate information for power system planning over time than the conventional approach of single aggregate models, especially for hydropower, which is strongly affected by the relatively sporadic occurrence of rainfall. The study shows that solar energy is promising, hydropower potential is seasonal and complementary, and wind potential is low at the location considered in this study.
Analysis and classification of power quality disturbances using variational mode decomposition and hybrid particle swarm optimization
Authors: Idan Hussein Husham , Majeed Ghadban Ahmed , Rodríguez Gómez Alejandro , Jesus Muñoz Gutierrez Francisco
Published: June 2024

Power quality disturbances (PQD) threaten electrical power systems, especially in distributed generation with renewable energy sources and in smart grids where PQD takes a complex form. Providing accurate information on the status and characteristics of the electrical signal facilitates the identification of practical solutions to this threat. In this paper, a variational mode decomposition (VMD) signal processing tool is proposed to analyze complex PQD. In VMD, the input signal is decomposed into different band-limited intrinsic mode functions (IMF) or non-recursively reconstructed modes. The input signal analysis by VMD, which considers the frequency values and spectral decomposition for each mode, describes the changes in the input waveform, and the IMFs help extract the behavioral patterns of these disturbances. A new hybrid particle swarm optimization-technique for order of preference by similarity to ideal solution (PSO-TOPSIS) algorithm is also proposed to classify the disturbances based on the features extracted from the signals decomposed using VMD. The performance of this method is then extensively validated by using different PQDs (including complex, stationary, and non-stationary (PQDs) and through a comparison with deep learning methods, such as convolutional and recurrent neural networks. Results show that VMD has several advantages over Fourier, wavelet, and Stockwell transforms, such as its lack of any modal aliasing effect, its capability to diagnose disturbances across four noise levels, and its ability to separate harmonics from other events. The proposed VMD in combination with PSO-TOPSIS performs more accurately than the other methods across all noise levels.
Analysis of an operational trans-conductance amplifier with positive feedback
Authors: Park Sung Sik
Published: June 2024

In this paper, we present an analysis of an operational trans-conductance amplifier (OTA) with two positive feedback. The direct current (DC) transfer function is obtained by analyzing the OTA using the drain current in the weak inversion region. The analysis results were verified through comparison with SPICE simulations, and the characteristics of the DC transfer function analysis for the OTA design are well matched with the simulation results. The designed OTA dissipates a low power of 41.4 nW, and features the slew rate is improved by 436% compared to a conventional OTA without two positive feedback. Additionally, a DC gain and a unity-gain bandwidth is improved by 36 dB and 6.7 times, respectively. The OTAs are designed for the 0.18 μm complementary metal–oxide–semiconductor (CMOS) process.
Design and optimization of high electron mobility transistor with high-k dielectric material integration
Authors: Sreenivasa Rao Devireddy , Sirisha Malluri , Srinivas Murthy Deepthi Tumkur , Krishne Gowda Nayana Dunthur , Balaji Bukya , Kiran Kumar Padakanti
Published: June 2024

We have developed and simulated a high electron mobility transistor (HEMT) operating in the 5 nm regime. This HEMT uses hafnium oxide (HfO2), a high-k dielectric material, to create an undoped region (UR) beneath the gate. While the gate and undoped regions share equal thickness, the channel length differs. This innovative undoped under the gate dielectric HEMT design mitigates the maximum electric field (V) within the channel area, leading to a significant increase in drain current. The utilization of a high-k dielectric in the HEMT structure results in a saturated Ion current that is 60% higher compared to conventional structures. Specifically, we use an AlGaN/GaN/SiC-based HEMT with an intrinsic section below the gate, using HfO2 as the high-k dielectric substantial, for applications requiring high power and high-frequency power amplifiers. Compare this advanced HEMT design to conventional HEMTs and you will see improved conductivity, a greater drain current (Id), a 54% increase in transconductance (Gm), and a lower on-resistance (Ron). Additionally, advancements in the electric field in the Y direction are seen. This HEMT structure exhibits superior performance compared to alternative materials analyzed. The integration of AlGaN/GaN materials in HEMTs opens up extensive opportunities in the realms of radio frequency very large-scale integration (VLSI) and power electronics.
Passivity-based adaptive current control loop of cascaded H-bridge multilevel converter for grid-tied photovoltaic system
Authors: Cuong Tran Hung , Thu Anh An Thi Hoai
Published: June 2024

This paper proposes an algorithm to passivity-based control (PBC) for the current control loop of the cascaded H-bridge converter (CHB) connecting the grid-connected PV system with the space vector modulation (SVM) algorithm using the law of expanding any number of voltage levels. The algorithm SVM in this paper is suitable for CHB converters. It can create a number of high levels of alternating voltage that other methods cannot do. Passivity-based control (PBC) algorithm aims to create a flexible controller that can change its structure or parameters to adapt to changes in the system, ensuring stable system quality, reducing switching losses and gaining energy conversion efficiency. It enhances the capability of accurately delivering power on demand to the grid with the CHB inverter in situations in which the grid demands the mobilization of maximum power from the photovoltaics (PV) system. The simulation results of the 9-level CHB system performed by MATLAB/Simulink software have proved the feasibility of the proposed algorithm.
Comparing Mask R-CNN backbone architectures for human detection using thermal imaging
Authors: Trinh Tan Dat , Cung Le Thien Vu Pham , The Bao Pham
Published: June 2024

We introduce a method for detecting humans in thermal imaging using an end-to-end deep learning model. Our objective is to optimize the human detection process in thermal imaging by investigating the mask region-based convolutional neural network (Mask R-CNN). The model, an advancement of the faster region-based convolutional neural network (Faster R-CNN), not only captures bounding boxes encompassing human subjects but also delineates segmentation masks around them. Our investigation extends to the evaluation and comparison of various convolutional neural networks for feature learning, like residual network (ResNet) and Inception ResNet, all integrated into the Mask R-CNN framework. Furthermore, the experimental results show that our proposed technique achieves high accuracy. Specifically, the Mask R-CNN model using ResNet50-V1 achieved the best results, with an F-value of 87.85%, a recall of 79.33%, and a precision of 98.41%.
Performance analysis of deep unified model for facial expression recognition using convolution neural network
Authors: Kavita Kavita , Chhillar Rajender Singh
Published: June 2024

Facial expression recognition has gathered substantial attention in computer vision applications, with the need for robust and accurate models that can decipher human emotions from facial images. Performance analysis of a novel hybrid model combines the strengths of residual network (ResNet) and dense network (DenseNet) architectures after applying preprocessing for facial expression recognition. The proposed hybrid model capitalizes on the complementary characteristics of ResNet's and DenseNet's densely connected blocks to enhance the model's capacity to extract discriminative features from facial images. This research evaluates the hybrid model performance and conducts a comprehensive benchmark against established facial expression recognition convolution neural network (CNN) models. The analysis encompasses key aspects of model performance, including classification accuracy, and adaptability with the LFW dataset for facial expressions such as Anger, Fear, Happy, Disgust, Sad, Surprise, along Neutral. The research observes that the proposed hybrid model is more accurate and efficient computationally than existing models consistently. This performance analysis eliminates information on the hybrid model's perspective to further facial expression recognition research.
A light-weight and generalizable deep learning model for the prediction of COVID-19 from chest X-ray images
Authors: Zobair Md Jakaria , Orpa Refat Tasfia , Ashef Mahir , Siddiquee Shah Md Tanvir , Chakraborty Narayan Ranjan , Habib Ahsan
Published: June 2024

The detection of coronavirus disease (COVID-19) using standard laboratory tests, such as reverse transcription polymerase chain reaction (RT-PCR), is time-consuming. Complex medical imaging problems are currently being solved using machine learning and deep learning techniques. Our proposed solution utilizes chest radiography imaging techniques, which have shown to be a faster alternative for detecting COVID-19. We present an efficient and lightweight deep learning architecture for identifying COVID-19 using chest X-ray images which achieve 99.81% accuracy in intra-database testing and 100% accuracy in cross-validation testing on a separate data set. The results demonstrate the potential of our proposed model as a reliable tool for COVID-19 diagnosis using chest X-ray images, which can have a significant impact on improving the efficiency of COVID-19 diagnosis and treatment.
Design and analysis of a metamaterial based biosensor to determine blood glucose concentration
Authors: Aminuzzaman Mir Md. , Hossam-E-Haider Md
Published: June 2024

In this paper, a biosensor utilizing metamaterials is designed and simulated to detect blood glucose concentration. The proposed sensor comprised of a microstrip patch antenna designed on a Rogers RT5880 substrate. A circular-shaped complementary split ring resonator (CSRR) cell is integrated onto the patch of the antenna which acts as the sensing region. The sensor is analyzed in order to ascertain the blood glucose concentration ranging from 50-300 mg/dL in a human finger model. The sensing parameter is amplitude of reflection coefficient, which exhibits variation in response to alterations in the dielectric characteristics of the sample being tested. The Cole-Cole relaxation model is employed to predict the dielectric properties of different finger tissues. An analysis of the characteristics of the CSRR was conducted to illustrate its significance in the realm of glucose detection. The glucose level is determined through the utilization of a linear regression model that describes the relationship between the reflection coefficient of the sensor and glucose level. The sensor demonstrates an impressive sensitivity of 1.792 dB per (mgdL-1) and has the ability of determining glucose levels with a good accuracy, as verified by the application of Clarke error grid. This sensor exhibits enhanced performance compared to some other recent glucose sensors.
Assessing electromagnetic field exposure levels in multi-active reconfigurable intelligent surface assisted 5G network
Authors: Ahmed Salem Mohammed , Lim Heng Siong , Chua Ming Yam , Alaghbari Khaled Abdulaziz , Zarakovitis Charilaos , Chien Su Fong
Published: June 2024

As 5G mobile networks continue to proliferate in dense urban environments, it becomes increasingly important to understand and mitigate excessive electromagnetic field (EMF) exposure. This study investigates how the downlink EMF exposure levels of 5G millimeter wave (mm-wave) mobile networks are influenced by the integration of multi-active reconfigurable intelligent surfaces (RISs), using a ray-tracing approach. Our research employs a comprehensive two-step methodology: Firstly, we introduce a new RIS-assisted 5G mm-wave network planning technique. This technique leverages a machine learning (ML) approach for the classification of multi-RIS clusters. The primary goal is to optimize coverage while minimizing the number of required RIS deployments. This is achieved by strategically placing RISs based on the ML classification, ultimately aiming to enhance network efficiency. Secondly, we conducted a thorough comparative analysis, evaluating the impact of both passive and active RISs on EMF exposure level throughout a dense urban environment. Passive RIS and active RIS differ in their adaptability to changing network conditions. The result shows that the influence of multi-active RISs on EMF exposure is significant (about 7.5 times higher) compared to passive RISs.
A novel configuration of a microstrip metamaterial reconfigurable bandstop filter
Authors: Aghanim Amina , Oulhaj Otman , Zbitou Jamal , Oukaira Aziz , Lakhssassi Ahmed , Lasri Rafik
Published: June 2024

This paper presents the design, simulation, and test measurements of a microstrip bandstop filter operating at 1.5 GHz, incorporating six split ring resonator (SRR) unit cells. The substrate employed is an FR-4 with a thickness of 1.6 mm and tangent losses of 0.025. In the initial phase, the design is conceptualized, simulated using computer simulation technology (CST) studio and advanced design system (ADS) Agilent simulators, and validated through test measurements. Building upon this foundation, the filter is transformed into a reconfigurable variant by integrating four SMV2019 varactor diodes. These varactors are modeled to ensure the reconfigurability of the bandwidth. The integration of varactors introduces dynamic tuning capabilities to the considered bandstop filter.
Real time implementation of downlink orthogonal frequency division multiplexing based non-orthogonal multiple access transceiver using NI USRP platform
Authors: Kaba Vanita , Patil Rajendra , Chandrashekar Shyamala
Published: June 2024

The growing fame and utilization of wireless multimedia approaches have led to the advancement of the wireless system. The fifth generation (5G) of wireless communication was developed to serve users with enhanced proficiency, low latency, reliable communication, and lesser battery exhausts. The non-orthogonal multiple access (NOMA) scheme is a proficient multiple access scheme to fulfil the requirement of a 5G mobile system. NOMA enables a remarkable enhancement in the systems throughput and ability to connect devices. NOMA distinguishes each user by allocating a distinct power level, superimposing all the user’s signals utilizing superposition coding while transmitting and at the reception, each user’s signals are decoded by employing successive interference cancellation (SIC). This study builds a real time downlink orthogonal frequency division multiplexing based NOMA (OFDM-NOMA) transceiver system using the NI USRP 2944R and 2901 platforms. The performance evaluation of the proposed OFDM-NOMA system is carried out in terms of signal to noise ratio by adjusting transmitting gain and the distance of users from the base station system. Experimental results show that the signal-to-noise ratio (SNR) of each user relies on the power allocation factor and proximity of users from the base station, and SIC output is compared with constellation variations.
An autopilot-based method for unmanned aerial vehicles trajectories control and adjustment
Authors: Mochurad Lesia , Alsayaydeh Jamil , Yusof Mohd Faizal
Published: June 2024

In today's world, the rapid development of aviation technologies, particularly unmanned aerial vehicles (UAVs), presents new challenges and opportunities. UAVs are utilized across various industries, including scientific research, military, robotics, surveying, logistics, and postal delivery. However, to ensure efficient and safe operation, UAVs require a reliable autopilot system that delivers precise navigation control and flight stability. This paper introduces a method for controlling and adjusting UAV trajectories, which enhances accuracy in environments and tasks corresponding to the first or second level of autonomy. It outperforms the linear-quadratic method and the unmodified predictive control method by 43% and 74%, respectively. The findings of this study can be applied to the development and modernization of new UAV, as well as the advancement of new UAV motion control systems, thereby enhancing their quality and efficiency.
An approach towards the development of an inclusive subject environment using additive manufacturing technologies
Authors: Lotoshynska Nataliia , Popova Solomiya , Irianto Irianto , Jamil Alsayaydeh Jamil Abedalrahim
Published: June 2024

This research aims to identify the principles of designing the objects of the inclusive environment with the employment of additive manufacturing technologies, and to discover methods and techniques for creating an inclusive objective environment using the example of our own development. The results of the survey, which has been directed to investigate the topicality of the problem of inclusiveness in Ukraine and the means of its solution, are presented in the article. In the course of work, the principal peculiarities of three-dimensional (3D) modelling and printing technologies have been established, and promising areas of their application have been proposed. The principles of designing an inclusive objective environment have been detected with the use of photogrammetry and 3D printing, due to which the model can be constructed by considering a person’s individual physical characteristics. Moreover, due to the wide range of materials for 3D printing, various types of objects can be realized. It gives great potential for the employment of 3D printing when designing an inclusive environment and considerably simplifies the manufacturing process while taking the individual characteristics of every person into consideration.
Optimizing breast cancer diagnosis: combining hybrid architectures through Apache Spark
Authors: Taib Chaymae , Abdoun Otman , Haimoudi El Khatir
Published: June 2024

Early detection and diagnosis of breast cancer are critical for saving lives. This paper addresses two major challenges associated with this task: the vast amount of data processing involved and the need for early detection of breast cancer. To tackle these issues, we developed thirty hybrid architectures by combining five deep learning techniques (Xception, Inception-V3, ResNet50, VGG16, VGG19) as feature extractors and six classifiers (random forest, logistic regression, naive Bayes, gradient-boosted tree, decision tree, and support vector machine) implemented on the Spark framework. We evaluated the performance of these architectures using four classification criteria. The results, analyzed using Scott Knott's statistical test, demonstrated the effectiveness of merging deep learning feature extraction techniques with traditional classifiers for classifying breast cancer into malignant and benign tumors. Notably, the hybrid architecture using logistic regression as the classifier and ResNet50 for feature extraction (RESLR) emerged as the top performer. It achieved impressive accuracy scores of 98.20%, 96.59%, 96.64%, and 94.84% across the Break-His dataset at different magnifications (40X, 100X, 200X, and 400X) respectively. Additionally, RESLR achieved an accuracy of 97.05% on the ICIAR dataset and a remarkable accuracy of 95.31% on the FNAC dataset.