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Hereditary breast cancer is an inherited genetic condition, mainly caused by BRCA1 and BRCA2 gene mutations. These genetic changes can increase the risks of breast and ovarian cancers in women, while prostate and breast cancers in men. Especially, mutations in either BRCA1 or BRCA2 genes take important roles in early-onset breast cancer. The present study focused on a 47-year-old Vietnamese woman with breast cancer by applying targeted next-generation sequencing technique. A novel BRCA1 gene mutation, namely NM_007294.3 (BRCA1): c.4998insA (p. Tyr1666Terfs), was identified both in this patient and in some of the members in her family proved the fact that the mutated genes passed down through generations. This change may exponentially initiate breast cancer risks and become a valuable marker for exact clinical prognosis and treatment.

What is known and objective: There is limited data on the specific risks of anaphylaxis induced by beta‐lactam drugs. The aim of this study was to compare the risks of reporting beta‐lactam‐induced anaphylaxis using the national pharmacovigilance database of Vietnam (NPDV). Methods: The multivariate generalised linear regression model was applied for signal generation and comparison of beta‐lactams. Results: Between 2010 and 2016, there were 2,921 reports of anaphylaxis (19.93%) from 14,655 spontaneous reports of beta‐lactam use in the NDPV. Anaphylaxis signal generation was also found for the subgroup J01D (cephalosporins and carbapenems) (ROR = 1.27 [1.16‐1.39]) and beta‐lactamase‐sensitive penicillins (ROR = 1.74 [1.27‐2.35]). In the third generation cephalosporin subgroup, different risks were identified for the following combinations of beta‐lactams: 1) cefotaxime with cefoperazone+sulbactam; 2) cefixime/cefpodoxime/cefdinir with cefoperazone+sulbactam or ceftizoxime/cefoperazone/ceftazidime/ceftriaxone/cefotaxime. For the second generation cephalosporin subgroup, different risks were found for cefotiam compared to cefmetazole, cefaclor, cefamandole and cefuroxime. What is new and conclusion: These findings identified and highlighted the different anaphylactic risks caused by various beta‐lactams in the main subgroups. [ABSTRACT FROM AUTHOR]

Rooftop solar panels paired with home‐scale batteries are increasingly popular in the residential area and they bring a fantastic opportunity to households, considered as prosumers, to make benefits from trading electricity. Unlike research in the literature, we consider the trading with technical influences of utility requirements: Volt‐Watt and Volt‐Var functions. As possible active power curtailments may occur and lead to economic losses to households, our work reveals how a home energy management system (HEMS) maximizes profit from trading energy with an aggregator and an electricity retailer. Appropriate optimization problems are formulated with technical constraints, these functions, and home appliances. HEMS responses are optimized in two phases. The first phase is for planning an optimal day‐ahead energy commitment to the aggregator with a consideration of the predicted power curtailments. On the day of operation, the second phase tries to follow the commitment by reoptimizing the responses in the real condition. Simulation of a practical power system shows that addressing these functions can mitigate power curtailment, reduce economic loss, and improve home profits. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [ABSTRACT FROM AUTHOR]

The increasing penetration of renewable energy sources, featured by intermittent outputs, emphasizes the investigation of the potential effects on frequency deviation in the normal operation and solving the associated problems. This paper proposes a method for assessing the impacts of forecast errors in wind and solar generation outputs on a unit commitment problem. An iterative process is used across different spinning reserve requirements until the hourly average and intrahour variation forecast errors in demand and renewable energy generation are fully compensated at the lowest cost. The process, containing time series simulations, is applied to various confidence levels of the forecasted renewable energy generation so that violations of the frequency limit will not occur in the normal operation. The effectiveness and applicability of the proposed method are well illustrated through a case study on the 2030 power system of the island of Hokkaido in Japan. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [ABSTRACT FROM AUTHOR]

The increasing number of rooftop solar panels and home‐scale batteries in residential areas enables an emerging energy market for homeowners to take part in. By optimizing the energy usage at home, the surplus amount can be exported to the grid for selling to intermediaries like aggregators at a higher price than a feed‐in tariff set by the government. Though not trading with the power utility, the resulting reverse power flow may cause the service voltage to increase and violate the set upper limit. To avoid this problem, the utility asks all grid‐connected inverters to reduce the reverse power by installing volt–watt functions. Unfortunately, this kind of function may reduce the profits of the homeowners since the exported energy cannot match the amount committed to the aggregator. Our research addresses this issue by proposing a double‐layer optimization for each home energy management system. The first layer optimizes the one‐day home energy usage with consideration of uncertainty in the predicted data of load and solar irradiance to estimate the highest home profit as possible. Then, the second layer tries to reduce the high reverse power with minimal impact on the profit found in the first layer. A simulation of a distribution system shows that the proposed method is able to flatten the power profile flowing reversely to the grid and reduce the drawbacks of volt–watt functions. Homeowners are recommended to practice the proposed method when trading the surplus energy. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [ABSTRACT FROM AUTHOR]

This paper considers two basic smart inverter functions, volt‐var and volt‐watt control of photovoltaic (PV) generations, as options for power utilities to improve the system performance. Using forecast solar irradiance and load demand, parameters of the volt‐var function are optimally adjusted to reduce the active power curtailment resulting from a preset volt‐watt function. This adjustment is performed in coordination with a step voltage regulator to minimize the social cost derived from daily energy loss and solar generation curtailment. On the day of operation, an adaptive control is applied to each PV system to deal with the potential difference between the predicted and the actual solar irradiance. Effectiveness of the proposed method is well illustrated through time‐series simulations of a tested system containing a 6.6‐kV feeder, which accommodates large‐scale PVs and low‐voltage networks with many rooftop solar panels. Results show that appropriate volt‐var settings can remedy the high‐voltage issue caused by high PV generation and that the conflicts between loss reduction and solar energy exploitation efforts can be solved successfully for a given scenario of electricity prices. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [ABSTRACT FROM AUTHOR]