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As the battery provides the entire propulsion power in electric vehicles (EVs), the utmost importance should be ascribed to the battery management system (BMS) which controls all the activities associated with the battery. This review article seeks to provide readers with an overview of prominent BMS subsystems and their influence on vehicle performance, along with their architectures. Moreover, it collates many recent research activities and critically reviews various control strategies and execution topologies implied in different aspects of BMSs, including battery modeling, states estimation, cell-balancing, and thermal management. The internal architecture of a BMS, along with the architectures of the control modules, is examined to demonstrate the working of an entire BMS control module. Moreover, a critical review of different battery models, control approaches for state estimation, cell-balancing, and thermal management is presented in terms of their salient features and merits and demerits allowing readers to analyze and understand them. The review also throws light on modern technologies implied in BMS, such as IoT (Internet of Things) and cloud-based BMS, to address issues of battery safety. Towards the end of the review, some challenges associated with the design and development of efficient BMSs for E-mobility applications are discussed and the article concludes with recommendations to tackle these challenges.

Of the 260,000 women diagnosed with breast cancer annually in the United States, more than 60% are treated with breastconserving surgery or lumpectomy, followed by radiation to decrease the chance of local recurrence. More than 70% of breast cancer recurrences are localized to the original tumor cavity. Hence, targeted radiation therapy after lumpectomy is critical for recurrence prevention. With 30,000 patients annually opting for oncoplastic reconstruction of the breast after lumpectomy to improve cosmesis, the resulting tissue rearrangement increases the difficulty for radiation oncologists to accurately delineate the cavity when planning radiation therapy. Owing to the absence of a standardized protocol, it is important to assess the efficacy of various methods used to mark the tumor cavity for improved delineation. Methods and Materials: A keyword search and analysis was used to compile relevant articles on PubMed (National Center for Biotechnology Information). Results: Currently, a common practice for tumor cavity localization is applying titanium surgical clips to the borders of lumpectomy cavity. Tissue movement and seroma formation both impact the positioning of surgical clips within the tumor cavity and lead to significant interobserver variability. Furthermore, the main application of surgical clips is to control the small vessels during surgery, and that can create confusion when the same clips are used for tumor bed localization. All alternative solutions present more precise tumor bed delineation but possess individual concerns with workflow integration, patient comfort, and accuracy. Though liquid-based fiducials were found to be the most effective for delineating tumor cavities, there are still drawbacks for clinical use. Conclusions: These findings should encourage medical innovators to develop novel techniques for tumor cavity marking to increase delineation accuracy and effectively target at-risk tissue. Future solutions in this space should consider the properties of liquid-based fiducial markers to improve radiation oncologists' ability to precisely delineate the tumor cavity.

Background:  Improved survival outcomes in breast cancer has brought attention to major cardiovascular and cerebrovascular adverse events (MACCE). Racial disparities in these events among breast cancer survivors are understudied. Methods:  Using National Inpatient Sample datasets (October 2015-December 2017, ICD-10-CM), we investigated racial disparities in the hospitalized breast cancer survivors for MACCE. They were further sub-categorized on the basis of prior chemotherapy or radiation therapy (CT/RT). Results:  Of 1,301,320 breast cancer survivor women, 75.8% were White, 11.3% were Black, and 16.1% had prior CT/RT. All-cause in-hospital mortality was highest in Asian or Pacific Islanders (3.2%) in the whole breast cancer survivor population; and in Native Americans (4.7%) in CT/RT subgroup. Native Americans (4.1%) had the highest incidence of acute myocardial infarction (AMI) in the overall population, whereas White patients (2.9%) predominated in CT/RT subgroup. White patients (29.6%) had the highest prevalence of arrhythmia, regardless of the prior CT/RT. For strokes, Asian or Pacific Islanders (3.9%) and Black patients (3.8%) had a higher prevalence. All-cause mortality, AMI, arrhythmia, and stroke had the highest adjusted odds in Asian or Pacific Islanders (1.19), Native Americans (1.31), White patients (1), and Black patients (1.12) respectively. Black patients had the lowest quartile income and a longer median stay. White patients had the highest transfer to nursing facilities, whereas Asian or Pacific Islanders had the highest mean hospital expenditures. Conclusions: Racial disparities exist in MACCE among breast cancer survivors. Further research, especially pooling and analyzing real-world data is needed on the prevalence of MACCE in breast cancer survivors, particularly in subgroups with different cancer-related treatments.

BACKGROUND Older adults tend to suffer from multi-morbidity, requiring complex treatment methodologies demanding poly-pharmacy. The increasing medication usage can tend towards the mismanagement of prescriptions and irregular or faulty administration. Thus, there arises an urgent need for a proper pill management system for these prescribed medicines. The solutions offered by the current market seem to be sub-optimal; they either fail to be cost-effective or fail to provide much the required assistance. OBJECTIVE We propose a mobile, cost-effective, robust, and easy to use solution involving the extension to the human body-smartphones and pill bottles METHODS The technology utilizes a unique combination of touch-points on the smartphone screen to recognize the medication and give information regarding the proper usage and dosage. The building of the pill management system was conducted in two phases; first, the pill bottles were developed since these were to be detected and identified, followed by the mobile application, which did the whole pill management. RESULTS Our tool comprised of two components–(1) the conductive ink enabled pill bottle containing a unique combination of conductive inks and (2) the mobile application utilizing the touch-points generated by the conductive ink sticker to give information of the corresponding medicine. Whenever a pill bottle is placed on the mobile screen, the conductive ink imitates the finger touch effect creating a unique touch pattern which is detected on the mobile screen. It is analyzed by the mobile application, holding the database of the corresponding medicine assigned to that specific touch pattern, and the user is provided with the medicine and its dosage details. CONCLUSIONS Our smart pill bottle system presents a novel implementation of touchpoint technology. Further, being easy to use, affordable, and compatible with simple equipment, our system showed feasibility in implementation and usage.