Institution Of Engineers Research Articles

La tecnología a nuestro servicio: 4 aplicaciones móviles para optimizar la gestión de necesidades cotidianas

Nowadays, mobile devices have undoubtedly become the most immediate means of accessing information. Their portability and increasingly large processing and storage capacities have been key to the expansion of mobile applications running on these devices.This article reviews the utility of these mobile applications, based on the experience gained from developing and implementing mobile applications for four real cases. In these cases, second-semester students of the Software Development program at the 'Quito Metropolitano' Higher Technological Institute, as part of their training, developed fully functional mobile applications to make them available to society. Their work was showcased at the '5 Minutes Pitch' and 'Quito Metro Tech' events organized by the institution in March 2024.The development process utilized tools included in the institution's curricular planning, such as Java programming language and frameworks like TypeScript and React Native. Additionally, databases like MySQL were used for desktop applications, and Firebase was used for cloud persistence.

Multi-armed Bandit Experimental Design: Online Decision-Making and Adaptive Inference

Multi-armed bandit has been well known for its efficiency in online decision-making in terms of minimizing the loss of the participants’ welfare during experiments (i.e., the regret). In clinical trials and many other scenarios, the statistical power of inferring the treatment effects (i.e., the gaps between the mean outcomes of different arms) is also crucial. Nevertheless, minimizing the regret entails harming the statistical power of estimating the treatment effect because the observations from some arms can be limited. In this paper, we investigate the trade-off between efficiency and statistical power by casting the multi-armed bandit experimental design into a minimax multi-objective optimization problem. We introduce the concept of Pareto optimality to mathematically characterize the situation in which neither the statistical power nor the efficiency can be improved without degrading the other. We derive a useful sufficient and necessary condition for the Pareto optimal solutions to the minimax multi-objective optimization problem. Additionally, we design an effective Pareto optimal multi-armed bandit experiment that can be tailored to different levels of the trade-off between the two objectives. Moreover, we extend the design and analysis to the setting where the outcome of each arm consists of an adversarial baseline reward and a stochastic treatment effect, demonstrating the robustness of our design. Finally, motivated by clinical trials, we examine the setting where the employed experiment must split the experimental units into a small number of batches, and we propose a flexible Pareto optimal design. This paper was accepted by George Shanthikumar, data science. Funding: The authors thank the Massachusetts Institute of Technology (MIT)-IBM partnership in Artificial Intelligence and the MIT Data Science Laboratory for support. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00492 .

Drag Reduction on the Basis of the Area Rule of the Small-Scale Supersonic Flight Experiment Vehicle Being Developed at Muroran Institute of Technology (Second Report)

Drag Reduction on the Basis of the Area Rule of the Small-Scale Supersonic Flight Experiment Vehicle Being Developed at Muroran Institute of Technology (Second Report)

Reviewer Acknowledgements for World Journal of English Language, Vol. 15, No. 1

World Journal of English Language wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.World Journal of English Language is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: wjel@sciedupress.comReviewers for Volume 15, Number 1Abderrazak Zaafour, Almería University, SpainAby John, RUDN University, IndiaAhmad Qabaha, An-Najah National University, PalestineAntonio Piga, University of Cagliari, ItalyAravind B R, Kalasalingam Academy of Research and Education, IndiaAtyaf Hasan Ibrahim, Al Iraqia University, IraqAyman Khafaga, Suez Canal University, EgyptBadri Abdulhakim Mudhsh, University of Technology and Applied Sciences, OmanBeibei Ren, University of South Florida, USACarol Kingston, Spicer Adventist University, IndiaChahra BELOUFA, Arab Open University, Saudi ArabiaChristian Jay Olandria Syting, University of Mindanao, PhilippinesFatma Abusrewel, The University of Tripoli, LibyaGhazwan Mohammed Saeed Mohammed, University of Bisha, Saudi ArabiaHan Van Ho, Nguyen Tat Thanh University, Ho Chi Minh City, Viet NamHerman, Universitas HKBP Nommensen Pematangsiantar, IndonesiaHussain Hamid Ali Ghazzaly, Al-Azhar University, EgyptInayatullah Kakepoto, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, PakistanIsmat Jabeen, Prince Sattam bin Abdulaziz University, Saudi ArabiaJamal Uthman Nogoud, University of Buraimi, OmanJergen Jel A. Cinco- Labaria, Western Philippines University, PhilippinesJoohoon Kang, Korea National University of Transportation, South KoreaKanthimathi Krishnasamy, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, IndiaKaya özçelik, Atılım University, TurkeyKenan Yerli, Sakarya University, TurkeyKhadija Alamoudi, King Abdulaziz University, Saudi ArabiaKristiawan Indriyanto, Universitas Prima Indonesia, IndonesiaL. Santhosh Kumar, Kristu Jayanti College (Autonomous), IndiaLeila Lomashvili, Shawnee State University, USALuqman Rababah, Jadara University, JordanMaria Isabel Maldonado Garcia, University of the Punjab, PakistanMaroua Benhamlaoui, University of Fréres Mentouri- Constantine 1, AlgeriaMohamad Fadhili bin Yahaya, Universiti Teknologi Mara Perlis Branch, MalaysiaMorteza Amirsheibani, Tashkent Institute of Economics and Pedagogy (TIPI), UzbekistanMuhammad Farkhan, Universitas Islam Negeri Syarif Hidayatullah Jakarta, IndonesiaMuhammad Mooneeb Ali, HED punjab, PakistanMuhammed Ibrahim Hamood, University of Mosul, IraqMundi Rahayu , Universitas Islam Negeri Maulana Malik Ibrahim Malang, IndonesiaMusa Saleh, Qimam Al-Ulum Institute for Languages, Saudi ArabiaNitin Malhotra, Amity University Madhya Pradesh, IndiaNuriadi Nuriadi, University of Mataram, IndonesiaP. Jayakumar, St. Joseph’s College of Engineering, IndiaPatsawut Sukserm, Chulalongkorn University Language Institute (CULI), ThailandPhyll Jhann Gildore, UNIVERSITY OF MINDANAO, PhilippinesPrincess H. Policarpio, Angeles University Foundation, PhilippinesR.Subhashini, Saveetha Engineering College (Affiliated to Anna University), IndiaRajesh K, Sri Sairam Engineering College, IndiaRamesh Manickkam, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, IndiaS. Priya, Subbalakshmi Lakshmipathy College of Science, IndiaS. Sakthivel, B.S. Abdur Rahman Crescent Institute of Science and Technology, IndiaS. V. Dhanawade, Vivekanand College (Autonomous) Kolhapur, IndiaSafi Mahmoud Mahfouz, The University of Jordan, Aqaba, JordanSaif Ali Abbas Jumaah, University of Mosul, IraqSamikshya1 Bidari, Hosei University, JapanSantri Djahimo, Nusa Cendana University, IndonesiaŞenel, Müfit, 19 Mayıs University, TurkeyServais Dieu-Donné Yédia DADJO, University of Abomey-Calavi, BeninShehr Bano Zaidi, National University of Modern Languages, Islamabad, PakistanSohaib Alam, College of Sciences and Humanities, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi ArabiaSonthaya Rattanasak, Rajamangala University of Technology Suvarnabhumi, ThailandTelal Mirghani Khalid, Ministry of Education and Higher Education, QatarWafa Nouari, University of Mostefa Benboulaid, Batna 2, AlgeriaWahaj Unnisa Warda, Prince Sattam Bin Abdulaziz University, Saudi ArabiaYi-Zhen Chang, National Taipei University of Business, Taiwan

Handwritten Character Recognition using Enhanced Artificial Neural Network

This study addresses the concerns regarding the performance of Handwritten Character Recognition (HCR) systems, focusing on the classification stage. It is widely acknowledged that the development of the classification model significantly impacts the overall performance of HCR. The problems identified specifically pertain to the classification model, particularly in the context of the Artificial Neural Network (ANN) learning problem, leading to low accuracy in recognizing handwritten characters. The objective of this study is to improve and refine the ANN classification model to achieve better HCR. To achieve this goal, this study proposed a hybrid Flower Pollination Algorithm with Artificial Neural Network (FPA-ANN) classification model for HCR. The FPA is one of the metaheuristic approaches is utilized as an optimization technique to enhance the performance of ANN, particularly by optimizing the network training process of ANN. The experimentation phase involves using the National Institute of Standards and Technology (NIST) handwritten character database. Finally, the proposed FPA-ANN classification model is analyzed based on generated confusion matrix and evaluated performance of the classification model in terms of precision, sensitivity, specificity, F-score and accuracy.

Development of the NIST X-ray Photoelectron Spectroscopy (XPS) Database, Version 5

It has been over 20 years since the National Institute of Standards and Technology (NIST) launched the first web version of its X-ray Photoelectron Spectroscopy (XPS) database (Lee et al., 2002; Wagner, 1991) which has approximately 1000 active users every day. This database was recently redesigned to meet NIST security requirements and to include new features and enhancements. The new application is built upon a relational database using a cross-platform and open-source framework (Henning et al., 2002). In addition to a modern design interface, the new features include custom-built components for displaying formatted molecular formulas and spectral lines, for sorting spectral lines, and for graphical display of chemical shifts of binding energies, Auger-electron kinetic energies, and Auger parameters for elements in different compounds.

RETRACTION: Antisense inhibition of Bcr-Abl/c-Abl synthesis promotes telomerase activity and upregulates tankyrase in human leukemia cells.

R. Bakalova, H. Ohba, Z. Zhelev, T. Kubo, M. Fujii, M. Ishikawa, Y. Shinohara, and Y. Baba, 'Antisense inhibition of Bcr-Abl/c-Abl synthesis promotes telomerase activity and upregulates tankyrase in human leukemia cells,' FEBS Letters 564, no. 1-2 (2004): 73-84, https://doi.org/10.1016/S0014-5793(04)00318-7. The above article, published online on 9 April 2004 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors; the journal Editor-in-Chief, Michael Brunner; FEBS Press; the National Institute of Advanced Industrial Science and Technology (AIST); and John Wiley and Sons Ltd. Following publication, concerns were raised by a third-party regarding several figures in the article. The subsequent institutional investigation conducted by the AIST revealed: Inappropriate duplication of image panels within the article, between the β-actin loading controls for 4 and 6 days in the Western blot of Fig. 2A K-562; between the subpanels of the electrophoresis blots in Fig. 4A K-562 and Jurkat cells; and between the subpanels of the electrophoresis blots in Fig. 6B. Band insertion in the Western blot of Fig. 6A p210 Bcr-Ab lane. Inappropriate duplication of images between this article (Fig. 2A K562 β-actin and Fig. 4B K562 6 days treatment bands) and an earlier publication from 2003 by an overlapping group of authors representing different experimental conditions. Inappropriate duplication and modification of an image between this article (Figure 3A2) and an earlier publication from 2004 by an overlapping group of authors representing different experimental conditions. Therefore, the conclusions of the paper are substantially compromised and the institute has recommended the paper to be retracted. The editors of the journal agree with the retraction based on the institutional investigation.

A sustainable design approach of a mega hostel: a study based at NIT, Srinagar, Kashmir, India

ABSTRACT In a sustainable building design, energy, water and resource optimization are key considerations, along with minimizing impacts on the ecology and environment. In this case study, water-related issues are considered from a sustainability perspective. The main objective of this study is to provide a sustainable design for a mega-hostel at the National Institute of Technology (NIT) Srinagar, with the aim of achieving an eco-friendly design which minimizes its dependence on external sources of energy. Rainwater harvesting, greywater reuse and the installation of a biogas plant are the three main techniques considered in this project. Rainfall data were collected and water demands for the mega-hostel and greywater produced by the mega-hostel were estimated. Potential rainwater harvesting, dimensions of a storage tank, first flush volume, discharges and dimensions of gutters have been calculated in this study. Greywater quantity has been calculated and a membrane bioreactor (MBR) to treat greywater is suggested, because it is space-optimized. Dimensions of a biogas plant and the quantity of gas released have also been estimated based on the amount of food waste generated by the mega-hostel.

Radiological protection of Young Scientist and Scientific Researcher trainees in controlled areas of the Argonaut reactor installation: analytical approach

Since the increasing use of ionizing radiations in medical and industrial proceedings, recommendations and actions have been necessaries to reduce the individual radiological risks. In the Nuclear Engineering Institute (IEN), there is the Argonauta research nuclear reactor (RARG) used for producing radionuclides, neutrongraphy studies and training young scientists (YST) and scientific researchers (SRT). During their trainings, these trainees are exposed to ionizing radiations meanly during the neutrongraphyc experiments when they need to adjust neutrongraphy plates in front the J9 channel with the RARG in critical condition. At this moment, they are exposed to neutron and gamma radiations in the RARG hall. This paper evaluated the gamma and neutron expositions that YST and SRT are submitted during the neutrongraphy experiments, by using area monitors to measure the ambient dose equivalent rates in two points near to J9 channel. Considering only this experiment, there was found that the annual individual effective dose could reach up to 2.5 mSv, which is more than 150% of the annual dose to member of the public (MP), but below the annual effective dose to occupationally exposed individual (OEI) as a worker. The question is if YST and SRT should be considered an OEI or a MP. This question is answered through an analytical approach of the regulations and recommendations. The conclusion is that YST and SRT shall be controlled as OEI, but must be submitted to MP’ restriction doses.

Toward Enhanced Biomimetic Artificial Visual Systems Based on Organic Heterojunction Optoelectronic Synaptic Transistors

AbstractArtificial visual systems, inspired by the human eye, hold significant potential in artificial intelligence. Optoelectronic synapses, integrating image perception, processing, and memory in a single device, offer promising solutions. The human eye exhibits different recognition accuracies for objects under varying light conditions. Therefore, a more biomimetic visual system is needed to better fit actual application scenarios. Here, an organic heterojunction‐based optoelectronic synaptic transistor (OHOST) is proposed to enhance biomimetic artificial visual systems. By utilizing the excellent carrier capture ability of core‐multi‐shell quantum dots (QDs) and the high exciton dissociation efficiency of heterojunction interfaces, the device achieves a recognition capability under different light intensities closely resembling that of the human eye. Under optimal light intensity, the recognition accuracy for the modified national institute of standards and technology (MNIST) dataset can reach 91.52%. Nevertheless, under both low and high light intensities, the accuracy drops to a low level. This work pushes the development of artificial visual systems toward higher levels of biomimicry.

Navigating cybersecurity challenges: Legal implications and organizational strategies

The increasing frequency and sophistication of cybersecurity incidents—such as data breaches, ransomware attacks, and system violations—highlight significant legal and organizational challenges. Despite rising investments in cybersecurity, these incidents continue to evolve, presenting complex issues for both corporations and regulators. Traditional legal frameworks, primarily focused on financial damages, fail to address non-financial harms like emotional and psychological impacts on consumers. Studies by Teichmann and Wittmann (2022) and Kilovaty (2021) reveal gaps in current cybersecurity laws, emphasizing the need to incorporate psychological damages and enhance corporate liability standards. Research by Frank, Grenier, and Pyzoha (2021) demonstrates the increasing litigation risks for boards of directors following cybersecurity incidents. Their findings suggest that prior cyberattacks raise the likelihood of being held liable, though implementing frameworks like the American Institute of Certified Public Accountants’ (AICPA) risk management guidelines can mitigate these risks. Additionally, Eijkelenboom and Nieuwesteeg (2020) analyze the disclosure of cybersecurity information in Dutch annual reports, finding a lack of transparency despite legal requirements. Their study underscores the need for better self-regulation or potential legal mandates to improve cybersecurity reporting. Falowo et al. (2022) examine the impact of digital interconnectedness on cybersecurity risks, noting that malware and phishing attacks are prevalent. Their research highlights the importance of organizational preparedness and adherence to frameworks such as the National Institute of Standards and Technology (NIST) guidelines for effective incident response. Sen (2018) identifies ongoing technical, economic, legal, and behavioral challenges that hinder effective cybersecurity, advocating for new strategies to overcome these barriers. Overall, enhancing cybersecurity resilience requires a comprehensive approach, integrating improved legal frameworks, organizational transparency, and proactive risk management.

Beyond the Playground: Challenges in Physical Education (PE) for Students with Additional Needs. A case Study Exploration

This study aimed to explore the multifaceted challenges encountered among students with additional needs in physical education (PE) classes. This study explored the various experiences of six students with additional needs who were subjected to semi-structured interviews in the physical education class participation at the MSU-Iligan Institute of Technology. The findings revealed two sub-themes: barriers to physical activity, which can be categorized as physical activity limitations and disability-related academic barriers, and psychosocial barriers, which include self-worth struggle and social exclusion in physical education (PE) classes. These barriers highlight the need for inclusive and adaptable physical education programs that cater the diverse needs of all students and create an atmosphere where everyone may actively engage and derive benefits from participating in physical education. Future studies should prioritize exploring educational interventions that effectively break down these challenges to enhance attitudes toward disabilities and promote social inclusion for students with additional needs.

Very high cycle fatigue of austenitc stainless steels and their welds for reactor internals at ambient trmperature and 300 °C

The fatigue assessment of safety relevant components is of importance for ageing management with regard to safety and reliability of nuclear power plants. Austenitic stainless steels are often used for reactor internals due to their excellent mechanical and technological properties as well as their corrosion resistance. During operation reactor internals are subject to mechanical and thermo-mechanical loading which induce low cycle (LCF), high cycle (HCF) and even very high cycle (VHCF) fatigue. While the LCF behavior of austenitic steels is already well investigated the fatigue behavior in the VHCF regime has not been characterized in detail so far. Accordingly, the fatigue curves in the applicable international design codes have been extended from originally 106 to the range of highest load cycles up to 1011 load cycles by extrapolation. Nevertheless, the existing data base for load cycles above 107 is still highly insufficient. The aim of the cooperative project of the Institute of Materials Science and Engineering (WKK) at RPTU Kaiserslautern-Landau, Materials Testing Institute (MPA) Stuttgart and Framatome GmbH, Germany is to create a comprehensive database up to the highest load cycles N = 2·109 for austenitic stainless steels and their welds at ambient and elevated temperature.

Real-time solar PV generation in a building using LSTM-based time series forecasting

The increasing demand for renewable energy has forced the researchers to lay importance on studying the behavior of these sources by monitoring the operational data and performing data analysis. The application of data analytics to renewable energy is one of the most powerful methods to maintain the system's reliability and stability. As the power system becomes more complex the necessity to perform data analytics also increases. When data analytic techniques are applied to solar energy generations through Photovoltaic (PV) dataset, the possible behavior of PV generation performance which is affected by changes in environmental conditions can be predicted and further analytical approaches allow us to detect possible PV panel and inverter failures. This paper is an attempt towards applying the intelligent data analytics approaches to solar PV generation of a real-time photovoltaic plant. The main purpose of the data analytics platform is to analyze the energy yield, assess the PV system performance, and forecast solar PV generation. In this article, Long Short-Term Memory (LSTM) machine learning model is developed to assess and interpret the available information from the gathered data of the PV plant. The proposed model is a sequence-to-sequence regression-based forecasting model which performs time series forecasting in a real-time 100 kW PV plant in the University building of SRM Institute of Science and Technology, Kattankulathur, Tamilnadu.

VOC emission rates from an indoor surface using a flux chamber and PTR-MS

Arising from the Chemical Assessment of Surfaces and Air (CASA) 2022 study at the National Institute of Standards and Technology (NIST) Net-Zero Energy Residential Test Facility (NZERTF), this paper presents the first evaluation of indoor surface emissions to a house measured with a surface flux chamber coupled to an online, non-targeted volatile organic compound (VOC) mass spectrometric detection. These surface emissions are compared to those assessed using ambient, whole house indoor VOC measurements and the outdoor air change rate. Chamber emission rates varied by almost four orders of magnitude across 35 quantified VOCs. The whole house emissions measured by campaign-long ambient measurements and the flux chamber emissions (when scaled to the painted surface area of the house) are similar, with an average ratio between the two of 1.3 ± 1.0. The general agreement between these two approaches indicates that the flux chamber was not solely measuring primary emissions from building materials located below the chamber. Rather, the results suggest that over the 12-year house lifetime, VOCs have been widely distributed around the house, migrating from their primary sources to secondary surface reservoirs. With the house in a quasi-steady state, the thermodynamic activities (i.e., the vapor pressures) of the VOCs within the different reservoirs become similar. Emissions of aromatics and monoterpenes have declined since the house was built, whereas aldehyde emissions have remained relatively constant.

In-line rate encrypted links using pre-shared post-quantum keys and DPUs

The development of quantum computers poses a risk to the cryptographic algorithms utilized by current public key infrastructure (PKI). High performance computing (HPC), inter- and intra-datacenter communications, and governmental communications are particularly vulnerable to security attacks by quantum computers. In response, there are on-going efforts on implementing post-quantum cryptography (PQC) despite the considerable overhead involved in processing PQC encrypted data packets in comparison with their classical counterparts. This work aims to help with the transition to quantum resistant cryptographic schemes by means of providing a thorough experimental performance comparison of the four algorithms selected by the National Institute of Standards and Technology (NIST) for standardization when implemented in a data processing unit (DPU). The experiments are conducted at line-rate, demonstrating for the first time operation at almost 100 Gbit/s and hence suitability for high-capacity data center environments.

Unified, Integral Approach to Modeling and Design of High-Pressure Pipelines: Assessment of Various Flow and Temperature Models for Supercritical Fluids

Abstract A unified one-dimensional, steady-state flow and heat transfer model is presented for the pipeline transport of fluids at high pressures, including the supercritical conditions. The model includes a generalized temperature equation, presented here for the first time, and accounts for all of the important effects, including the property variation, viscous dissipation, Joule-Thomson (J-T) cooling, and heat exchange with the surrounding. With appropriate approximations, this model can yield all isothermal and non-isothermal pipe flow solutions reported thus far. A generalized multi-zone integral method is developed which solves the two resulting algebraic equations for pressure and temperature in conjunction with a property database, such as the National Institute of Standard and Technology (NIST) Reference Fluid Thermodynamic and Transport Properties (REFPROP). With appropriately selected number and size of the zones and using property values at the mean temperature and pressure within each zone, this integral method can accurately predict the complex effects of the governing parameters, such as the pipe diameter and length, inlet and exit pressures, mass flow rate, J-T cooling, and inlet and surrounding temperatures. Its accuracy for small-to-large diameter pipes has been ascertained by a comparison with the numerical solutions of the differential form of governing equations that requires a large number of small grids along the pipe and the values of mean properties within each grid. Indeed, this integral model can be used for the pipeline transport at both subcritical and supercritical pressures as long as the fluid does not encounter its anomalous states and the phase-change.

Value assignment and uncertainty evaluation for certified reference gas mixtures

AbstractThe procedures used to assign values to certified reference gas mixtures and to evaluate their associated uncertainties, which are described in ISO 6143, and that were variously improved by Guenther and Possolo (Anal Bioanal Chem 399:489–500, 2011. 10.1007/s00216-010-4379-z), are further enhanced by the following developments: (i) evaluating and propagating uncertainty contributions derived from comparisons with historical reference gas mixtures of similar nominal composition; (ii) recognizing and quantifying mutual inconsistency (dark uncertainty) between primary standard gas mixtures used for calibration; (iii) employing Bayesian procedures for calibration, value assignment, and uncertainty evaluations; and (iv) employing state-of-the-art methods of meta-analysis to combine cylinder-specific measurement results. These developments are illustrated in examples of certification of two gas mixture Standard Reference Materials developed by the National Institute of Standards and Technology (NIST, USA). These examples serve only to demonstrate the methods described in this contribution and do not replace any official measurement results delivered in the certificates of any reference materials developed by NIST.

Energy analysis of standalone hybrid active solar room heating system

AbstractIn winter, offices use heat pumps, electric heaters, and blowers to stay warm, but these use traditional energy that is not sustainable or eco‐friendly. To meet the requirements of thermal comfort, an environmentally friendly and self‐sustainable system was developed at Madhav Institute of Technology and Science in Gwalior, India. This system includes a heat exchanger, a flat plate collector, an evacuated tube collector, and a pump. Two versions of the system were tested: one with a heat exchanger and an evacuated tube collector (HEWETC) and another with a heat exchanger and a flat plate collector (HEWFPC). The results showed that the HEWETC system is better at heating the room and has higher efficiency compared to the HEWFPC system. The HEWFPC system is 12% efficient, while the HEWETC system is 21% efficient. The room stayed at a constant temperature of 26.3°C all day. The HEWETC and HEWFPC systems provided 0.46 and 0.55 MJ of heat to the room, respectively. During the heating season, the solar heat collected was 8030.38 kWh, and electricity used was 5229.7 kWh. The HEWETC system proved to be effective and suitable for heating the building.

Complete genome sequence of Synechocystis sp. LKSZ1 isolated from a pond in the Suzukakedai campus of Tokyo Institute of Technology.

Cyanobacteria belonging to the Synechocystis genus have been isolated from diverse aquatic environments. This announcement reports the complete genome sequence of Synechocystis sp. LKSZ1 newly isolated from a pond in a university campus in Yokohama, Japan. The genome sequencing was performed using the PacBio Revio HiFi long-read technology.