Review
Urology & Nephrology
Jose Viana Lima Junior, Claudio Elias Kater
Summary: Pheochromocytomas/paragangliomas (PPGL) are rare, metastatic, and potentially fatal neuroendocrine tumors with symptoms similar to other prevalent conditions, leading to delayed diagnosis and treatment. The diagnosis rate of PPGL is increasing with improved measurements and imaging procedures. Extensive research has been conducted on the genetic basis of PPGL, with more than 20 genes currently associated and potentially more to be discovered. This overview covers the clinical, laboratory, topographical, genetic diagnosis, and management of PPGL.
INTERNATIONAL BRAZ J UROL
(2023)
Article
Medical Laboratory Technology
Gregory A. Kline, Jessica Boyd, Martin Hyrcza, Daniele Pacaud, Janice L. Pasieka, Yuan Dong, Hossein S. M. Sadrzadeh, Alexander A. C. Leung
Summary: The study found that using higher age-stratified reference intervals for the 24 h UNM test did not compromise test sensitivity for true pheochromocytoma cases, while significantly reducing the false positive rate.
CLINICAL BIOCHEMISTRY
(2022)
Article
Endocrinology & Metabolism
Gregory A. Kline, Jessica Boyd, Brenda Polzin, Adrian Harvey, Janice L. Pasieka, Hossein S. M. Sadrzadeh, Alexander A. Leung
Summary: The study found a poor-to-moderate correlation between urine and seated plasma metanephrines in outpatients without PPGL. Approximately 20% of high-risk patients with high urine metanephrines in the absence of PPGL also had high seated plasma metanephrines.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Review
Urology & Nephrology
Marissa Maas, Nima Nassiri, Sumeet Bhanvadia, John D. Carmichael, Vinay Duddalwar, Siamak Daneshmand
Summary: Guidelines for the diagnosis and treatment of adrenal incidentalomas vary among specialties, particularly in terms of reimaging, repeat hormone testing, and management of tumors characterized as benign or malignant. Consensus on initial evaluation exists, but discrepancies arise in follow-up recommendations. Recommendations range from avoiding repeat imaging and hormone testing to frequent monitoring over several years. Best practices may lie in finding common ground among divergent guidelines.
JOURNAL OF UROLOGY
(2021)
Article
Endocrinology & Metabolism
Spyridoula Tsiomidou, Christina Pamporaki, Aikaterini Geroula, Lukas Van Baal, Frank Weber, Henning Dralle, Kurt W. Schmid, Dagmar Fuehrer, Nicole Unger
Summary: This study evaluated the role of the clonidine suppression test (CST) in the diagnosis or exclusion of pheochromocytoma/paraganglioma (PPGL) and found that CST can accurately identify all false-positive plasma normetanephrine (NMN) screening results in patients with suspected PPGL.
CLINICAL ENDOCRINOLOGY
(2022)
Article
Medicine, General & Internal
Salar Haider, Muhammad Ahmad Khan, Asif Islam, Rida E. Fatima Mirza, Saman Aslam
Summary: Malignant pheochromocytomas are rare and aggressive tumors that arise from the adrenal medulla and secrete catecholamines. This case report describes a 57-year-old male patient who presented with upper gastrointestinal bleeding caused by a malignant pheochromocytoma. Imaging revealed invasion of the tumor into the right kidney, liver, hepatic inferior vena cava, right atrium, and right ventricle. The patient refused surgery and received palliative medical therapy until death 3 months later.
Article
Endocrinology & Metabolism
Roderick J. Clifton-Bligh
Summary: Diagnosis of pheochromocytoma or paraganglioma (PPGL) during pregnancy has historically led to high rates of maternal and fetal morbidity and mortality. Recent evidence suggests that early recognition of PPGL and appropriate medical management can improve outcomes. The need for antepartum surgery and the mode of delivery in PPGL cases are still controversial. It is important to offer genetic counseling and testing to women with PPGL in pregnancy, as they are often associated with heritable syndromes.
REVIEWS IN ENDOCRINE & METABOLIC DISORDERS
(2023)
Review
Endocrinology & Metabolism
Karel Pacak
Summary: Despite recent advances in the diagnosis, localization, and management of pheochromocytomas and paragangliomas, these tumors continue to cause significant morbidity and mortality due to their mass effect and the adverse effects of catecholamine-induced hypertension. Recent developments have led to a redefinition of metastatic behavior, a categorization of these tumors into genetic clusters, and an enhanced understanding of catecholamine metabolism. Imaging modalities have also advanced, allowing for more precise characterization of these tumors. Furthermore, new molecular events found in these tumors have opened up new therapeutic possibilities. Overall, collaborative efforts and clinical trials have improved outcomes for patients with these tumors.
ENDOCRINE PRACTICE
(2022)
Article
Peripheral Vascular Disease
Hanna Remde, Christina Pamporaki, Marcus Quinkler, Svenja Nolting, Aleksander Prejbisz, Henri J. L. M. Timmers, Jimmy Masjkur, Carmina T. Fuss, Martin Fassnacht, Graeme Eisenhofer, Timo Deutschbein
Summary: This study aimed to evaluate the diagnostic outcome of CST in patients with moderate NMN elevations, showing high sensitivity and specificity in diagnosing PPGL.
Article
Endocrinology & Metabolism
Yu-li Wang, Xiao-lei Liu, Ze-bing Liao, Xiao-mei Lu, Ling-lin Chen, Yi Lei, Han-wen Zhang, Fan Lin
Summary: This study used dual-energy spectral detector computed tomography (SDCT) to differentiate between adrenal adenoma and pheochromocytoma. The results showed that 40 KeV VMI, AP-IC, and VMI-Slope can be used as parameters to distinguish between the two conditions.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Endocrinology & Metabolism
Annick Muhlethaler-Mottet, Silvia Uccella, Deborah Marchiori, Stefano La Rosa, Jean Daraspe, Katia Balmas Bourloud, Maja Beck Popovic, Philippe J. Eugster, Eric Grouzmann, Karim Abid
Summary: This study compared the biosynthesis, metabolism, and storage of catecholamines and metanephrines between patients with neuroblastoma (NB) and pheochromocytoma (PHEO). The results showed that NB patients had lower levels of catecholamines compared to PHEO patients, and their neurosecretory vesicles were also less abundant, leading to rapid conversion into metanephrines and diffusion into the blood, which explains the absence of systemic hypertension in most NB patients.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Oncology
Simone De Fabritiis, Silvia Valentinuzzi, Gianluca Piras, Ilaria Cicalini, Damiana Pieragostino, Sara Pagotto, Silvia Perconti, Mirco Zucchelli, Alberto Schena, Elisa Taschin, Gloria Simona Bertesteanu, Diana Liberata Esposito, Antonio Stigliano, Vincenzo De Laurenzi, Francesca Schiavi, Mario Sanna, Piero Del Boccio, Fabio Verginelli, Renato Mariani-Costantini
Summary: Head and neck paragangliomas (HNPGLs) are rare chemoresistant tumors curable only with surgery and are strongly influenced by genetic predisposition. Patients and relatives require lifetime follow-up with MRI and/or PET-CT, resulting in exposure to electromagnetic/ionizing radiation, costs, and organizational challenges.
Article
Urology & Nephrology
Neal E. Rowe, Ravi Kumar, Nicola Schieda, Ferhan Siddiqi, Thomas McGregor, Kristen McAlpine, Philippe Violette, Varun Bathini, Michael Eng, Jason Izard
Summary: This guideline provides an updated approach to the diagnosis, management, and follow-up of adrenal incidentalomas. It emphasizes the importance of comprehensive assessment of hormonal function and oncologic risk and provides updated recommendations on surgery and short-term surveillance.
JOURNAL OF UROLOGY
(2023)
Article
Endocrinology & Metabolism
Mirko Parasiliti-Caprino, Fabio Bioletto, Filippo Ceccato, Chiara Lopez, Martina Bollati, Maria Chiara Di Carlo, Giacomo Voltan, Denis Rossato, Giuseppe Giraudo, Carla Scaroni, Ezio Ghigo, Mauro Maccario
Summary: This study evaluated the reliability of simple and corrected aldosterone indices for assessing the selectivity and lateralization of adrenal vein sampling (AVS) in patients with primary aldosteronism. The results showed that the aldosterone index had high accuracy in predicting selectivity and moderate accuracy in predicting ipsi/contralateral aldosterone hypersecretion. The study also found that the use of corrected aldosterone indices significantly improved the accuracy in predicting ipsi/contralateral disease. The comparative aldosterone index showed high accuracy in predicting unilateral primary aldosteronism.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Juliane Maerz, Max Kurlbaum, Oisin Roche-Lancaster, Timo Deutschbein, Mirko Peitzsch, Cornelia Prehn, Dirk Weismann, Mercedes Robledo, Jerzy Adamski, Martin Fassnacht, Meik Kunz, Matthias Kroiss
Summary: The study evaluated the value of metabolomics as a diagnostic tool for PPGL, showing that plasma metabolomics are not useful for diagnostic purposes, most likely due to inter-individual variability.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Su Su, Zening Li, Xiaolong Jin, Koji Yamashita, Mingchao Xia, Qifang Chen
Summary: This method aims to achieve more flexible operation of the active distribution network (ADN) through chance-constrained programming, incorporating energy management for office buildings. Numerical studies show that the thermostatically controlled loads (TCLs) in office buildings have an impact on the economic operation of the ADN under different confidence levels.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Feifan Shen, Qiuwei Wu, Xiaolong Jin, Menglin Zhang, Saeed Teimourzadeh, Osman Bulent Tor
Summary: The proposed coordination scheme combines price signals and incentive-based flexibility service products to efficiently manage congestion in distribution networks, ensuring the distribution system operator remains profit neutral while resolving congestion effectively.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Sheng Cai, Yunyun Xie, Qiuwei Wu, Menglin Zhang, Xiaolong Jin, Zhengrong Xiang
Summary: This paper proposes a two-stage microgrid scheduling approach that considers dynamic microgrid formation and coordinated optimization of active and reactive powers. The method enhances the resilience of the distribution system after blackouts by dispatching multiple devices to sectionalize the system and supply critical loads continuously. The proposed method can restore critical loads and sustain secure operation under random renewable energy generation and load demand.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Green & Sustainable Science & Technology
Yunfei Mu, Yaqing Zhang, Hongjie Jia, Xiaodan Yu, Jiarui Zhang, Xiaolong Jin, Youjun Deng
Summary: This paper proposes a time-varying building VES model (TVES) to quantify the scheduling flexibility of a building envelope and develops a constrained optimal scheduling strategy to reduce electricity costs and ensure thermal comfort for users.
IET RENEWABLE POWER GENERATION
(2023)
Article
Meteorology & Atmospheric Sciences
Xueliang Deng, Dongyan He, Guangyuan Zhang, Song Zhu, Rui Dai, Xiaolong Jin, Wei Fu, Weiwei Shen, Jian Chen, Yuxiang Fan, Chunxuan Wei, Xin Li
Summary: The wind profiler radar network in Anhui Province, China, has demonstrated good capability in measuring atmospheric wind. Comparison with ERA5 reanalysis data shows excellent agreement in wind measurements at most stations. The network provides reliable wind data for improving and developing boundary layer schemes in the future.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Chemistry, Analytical
Xu Wu, Yulong Du, Shijian Shi, Cong Jiang, Xueliang Deng, Song Zhu, Xiaolong Jin, Jingsong Li
Summary: This paper presents an attractive gas sensing technique based on fiber optical sensing ideal for simultaneous detection of multiple gas species. The technique uses calibration-free laser absorption spectroscopy combined with a multi-pass optical absorption cell, and successfully measures the absorption spectra of CO2 and CH4 simultaneously. The optimal parameters, such as sampling pressure, laser tuning characteristics, spectral sampling points, and potential optical interference, are investigated in detail. Experimental results show that the proposed technique has good reliability and can detect ambient CO2 and CH4 using a single sample cell and detector. The technique also has the potential to measure more molecules simultaneously by combining a laser array, providing a new approach for the development of a low-cost and ultra-compact multi-gas laser spectroscopy sensing system.
Article
Energy & Fuels
Chenghan Zhou, Hongjie Jia, Xiaolong Jin, Yunfei Mu, Xiaodan Yu, Xiandong Xu, Binghui Li, Weichen Sun
Summary: A two-stage robust optimization method is proposed for buildings' space heating loads in an integrated community energy system. The hierarchical relationship between the ICES operator and consumers is formulated using bi-level optimization to achieve optimal heating pricing strategy. The thermal inertia of SHLs is modeled to provide heating demand response based on optimal heating sale prices. The ICES operator decides optimal energy purchase schedules from upper energy systems using a robust optimization method. The whole optimization model is transformed into a MILP based on various mathematical techniques. Numerical results show the effectiveness of the proposed model in balancing the interests of the ICES operator and consumers, and the improved profit using the robust optimization method.
Article
Green & Sustainable Science & Technology
Shuaijia He, Hongjun Gao, Zao Tang, Zhe Chen, Xiaolong Jin, Junyong Liu
Summary: Generalized energy storage (GES) integrated with the differentiated building thermal load-based virtual energy storage (VES) is proposed in the energy management model of the building-integrated energy system (BIES) to reduce renewable energy curtailment, carbon emission, and operational cost risk. A worst conditional value at risk (WCVaR) energy management method is developed to evaluate the operational cost risk, considering uncertainties of PV, electric, and thermal loads. Case studies show that the proposed model can significantly reduce operational cost, carbon trading cost, and PV curtailment cost for BIES.
Article
Environmental Sciences
Xue Yang, Luhong Gao, Shiyang Zhao, Guang Pan, Guolan Fan, Zhiyong Xia, Xiaoyan Sun, Hongyu Xu, Yanjun Chen, Xiaolong Jin
Summary: Enhanced VOCs observations were conducted in Linyi, China on ozone-exceeding days in June 2020. A total of 69 VOCs were collected, including alkanes, alkenes, aromatic hydrocarbons, and oxygenated VOCs. The main sources of VOCs in Linyi City were identified as vehicle exhaust, biomass combustion, oil and gas volatilization, and solvent use. Alkenes, OVOCs, and aromatics were found to contribute the most to ozone formation potential (OFP).
Article
Energy & Fuels
Chao Qin, Chongyu Zhong, Bing Sun, Xiaolong Jin, Yuan Zeng
Summary: This paper proposes a defense method to allocate hardening resources for power systems, considering the full substation topology and the multi-stage response process. A graph-based analytical model is established to reveal the influence mechanism of coordinated cyber-physical attacks involving protective relays on power systems. The results show that the proposed method effectively defends against coordinated attacks and enhances the resilience level of power systems.
Article
Green & Sustainable Science & Technology
Tao Zhang, Xiaodan Yu, Yunfei Mu, Hongjie Jia, Kai Hou, Xiaolong Jin
Summary: Soft open points connected to distribution networks are important for improving operational performance during outage periods. This paper proposes a multiple-source distribution service restoration strategy that considers soft open points and utilizes distributed energy resources and their flexibility to enhance load restoration and mitigate voltage deviations. The strategy adopts a chance-constrained method to deal with uncertainties and formulates the problem as a mixed-integer linear programming. A two-stage accelerated algorithm is proposed to reduce computational complexity. Case studies demonstrate the effectiveness of the strategy and the feasibility of the algorithm in reducing computation time.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Computer Science, Artificial Intelligence
Zedong Zheng, Shengxiang Yang, Yinan Guo, Xiaolong Jin, Rui Wang
Summary: This paper reviews the application of meta-heuristics in microgrid management, summarizes the contributions and influences of different methods, and provides further insights and suggestions for future research.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Energy & Fuels
Tao Jiang, Zhongwei Shen, Xiaolong Jin, Rufeng Zhang, Alessandra Parisio, Xue Li, Xiao Kou
Summary: In response to the challenges faced by transmission system operators (TSOs) in operating power grids with high renewable penetration, this paper proposes an integrated transmission-distribution flexibility market. The framework involves clearing the energy market and the flexibility market, utilizing an ADMM-based method to ensure data privacy. Numerical results from case studies demonstrate that the proposed flexibility market framework enhances competitiveness in the transmission network and reduces flexibility purchasing cost by 17.7% compared to traditional methods. Additionally, active distribution networks (ADNs) can gain additional profit by providing flexibility.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng
Summary: A Temporal Knowledge Graph (TKG) is a series of knowledge graphs corresponding to different timestamps. TKG reasoning aims to predict future potential facts based on historical KG sequences. To handle diverse evolutional patterns, we propose a new model called Complex Evolutional Network (CEN), which uses a length-aware Convolutional Neural Network (CNN) and an online learning strategy.
PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022): (SHORT PAPERS), VOL 2
(2022)
Article
Energy & Fuels
Houhe Chen, Haoyuan Li, Chuqiao Lin, Xiaolong Jin, Rufeng Zhang, Xue Li
Summary: This study proposes a two-stage market framework for TSO-DSO coordination in the RPAS market, with a distributed market-clearing mechanism based on ADMM to protect information privacy. The BE method is also utilized for linearizing non-convex bilinear terms in the market-clearing model.
IET ENERGY SYSTEMS INTEGRATION
(2022)
