Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and optimization of the sustainable natural gas liquefaction process plant: A process system engineering approach

With the rapid development of the world economy and technologies, the energy demand is increasing. Based on the current regulations energy sectors need low-emission and low-carbon energy solutions. Natural gas (NG) is considered a green future fuel that is usually stored and transported as compressed gas or cryogenic liquid. The liquefied NG has 1/600th of its volume which helps in transportation. Liquefied natural gas (LNG) operations are the most energyintensive techniques. During refrigeration and liquefaction, the units of the LNG consume around ∼40−50% of the entire LNG supply chain energy. To date, the simplest single mixed refrigerant (SMR) cycle-based NG liquefaction plants have exergy efficiencies of around 26.97%. Moreover, the conventional SMR process utilizes a hydrocarbon-based mixed refrigerant (i.e., C1 to C3 and N2) mixture that is further harmful to the ecosystem. In this research work, it was found that the addition of eco-friendly hydro-fluoro-olefin (HFO123yf) with conventionally used refrigerants reduces energy consumption under the same conditions. Further hydraulic turbines were proposed to replace the expansion valves require for the Joule Thompson cooling effect that further increasing the process reversibility and energy efficiency. Hence, this research utilizes the optimization of the HFO based modified mixed refrigerant mixture (HSMR) for optimal operation of the LNG plant. The evaluated result shows that the proposed stochastic biogeography-based optimization (BBO) algorithm successfully reduces the overall energy consumption by 0.232 kW/kg-NG. This energy consumption is about 41.709 % compared to our base case study and it was 36% more efficient compared to the conventional SMR published study. This research further explores the sensitive decision variables that affect power consumption using the sensitivity analysis index method. The sensitivity indices may enable us to operate the plant in any abrupt changing or uncertain conditions when needed quick optimization using only a few key sensitive optimizing variables which are useful for real-time plant optimization. Moreover, the economic analysis of the proposed plant shows a total annualized cost of 6,158,000 USD with a 20% rate of return, per year.
Genomics applied to livestock and aquaculture breeding

The increasing global demand for food, due to the continuous growth of human population, requires improvements in the efficiency and sustainability of animal production systems. In addition, several challenges facing farming of aquatic and terrestrial organisms need to be overcome to ensure food security in the upcoming decades, e.g. adaptation to climate change, reduced availability of conventional animal feed ingredients, emerging infectious and parasitic diseases, among others. Genomic technologies such as massive parallel sequencing, high‐throughput genotyping, genome selection and gene editing, combined with highly efficient computational methods can accelerate the rate of genetic progress in animal breeding. Thus, such technologies can help us meet the needs for protein sources for human consumption in the upcoming years. This Special Issue aims at presenting current advancements in the field of genomic tools applied to aquatic and terrestrial farmed animal populations.
RNA – A choice of potential drug delivery system

Abstract There is significant progress in biomedical sciences to use biomaterials as a potential medium for the delivery of pharmacologically active components to diseased cells. This multidisciplinary approach has established that the therapeutic benefit is not directly proportional to the potency of drugs. It is more related to the mode of drug formulations and routes of administration. Biomaterials play a vital role in the formulations of a wide range of pharmaceutical compounds, including antibodies, peptides, drugs, enzymes, and vaccines. Most of these materials have been engineered to release therapeutics for an extended period to overcome the limitations of conventional therapies. This review has initially discussed a brief history of different biomaterials in drug delivery and the clinical needs of the same. The latter part describes the strategies to use RNA as a therapeutic molecule to stop the synthesis of disease-causing proteins that are generated by the misregulations. Graphical Abstract
The Effect of Mandatory Disclosure on Shareholder Wealth: Evidence from FASB Statement No. 14 and ASC 280 Financial disclosures

Financial disclosures either mandatory or voluntary are essential in reducing information asymmetry between management and users of financial reports of corporations. We investigate the market’s assessment of the economic effect of geographic segment data reported under ASC 280. Specifically, this paper examines the market valuation of reported foreign assets and sales prior to and post the issuance of ASC 280. In comparing the pricing of foreign assets and foreign sales, we find that both are priced with foreign sales having greater capitalization. These results persist after controlling for other determinants and factors affecting firm value. The findings suggest that the disclosure mandated by ASC 280 enhances overall disclosure related to foreign operations and as a result makes it easier for investors to assess the value of foreign operations. These findings are consistent with management’s disclosure of improved segment information under ASC 280 and provide policy, practice, and research implications for segment reporting as well as other mandatory disclosures.
Finite-time exergoeconomic performance of an endoreversible Carnot heat engine with complex heat transfer law

The finite time exergoeconomic performance of an endoreversible Carnot heat engine with a complex heat transfer law, including generalized convective heat transfer law and generalized radiative heat transfer law, m n T q ) (∆ ∝ , is investigated in this paper. The finite time exergoeconomic performance optimization of the engine is investigated by taking profit optimization criterion as the objective. The focus of this paper is to search the compromised optimization between economics (profit) and the utilization factor (efficiency) for endoreversible Carnot heat engine cycles. The obtained results include those obtained in many literatures and can provide some theoretical guidance for the design of practical heat engines. Copyright © 2011 International Energy and Environment Foundation - All rights reserved.
Energy Resource Allocation for Green FiWi Network Using Ensemble Learning

In this paper, we utilize a random forest regression based ensemble learning to effectively predict the solar power available for the fiber-wireless (FiWi) network components, such as optical network units (ONUs) and access points (APs) which is collectively known ONU-AP. Thereafter, a joint energy resource allocation framework is proposed to minimize the required number of photovoltaic (PV) panels and batteries. To solve the joint energy resource allocation problem, we divide it into two sub-problems, minimum PV panel allocation for a fixed number of batteries and minimum battery allocation for a fixed number of PV panels. The two sub-problems are further solved using the proposed <italic>MinBatAlloc</italic> and <italic>MinPVAlloc</italic> algorithms. Moreover, we introduce a system parameter <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>, that signifies the ratio between solar power supplied to operate ONU-AP and to charge the batteries. The results are shown by varying <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> and its impact on the energy resource allocation and battery lifetime. We compare the performance of our proposed approach with non-ML based approaches, such as, maximum, minimum, median, and outage threshold based energy resource allocation. Through the obtained results it has been shown that the proposed approach considerably improves the performance in terms of outage, lifetime, carbon dioxide emissions, and cost.
Introduction of Software Maintenance Testing

Maintenance of software is a very crucial and important task but it is a very expensive process. Thus, Software Maintenance Testing is essential during software testing phase. Defects and errors found during testing process must undergo a re-test process so that flaws, that is, defects and errors can be eliminated easily. By doing so, test cases are absolutely needed to evolve and modify according to the changing requirements. In this paper, a brief introduction of several maintenance testing's such as confirmation testing and regression testing; and introduction of maintenance testing techniques has been given. These techniques are to be used in testing during software development to make testing process effective.
A Scoping Review: Mapping the Evidence for Undergraduate Concussion Education and Proposing the Content for Medical Student Concussion Teaching

Introduction: Concussion is a common yet complex condition, with each new case requiring assessment by a medical doctor. Recent research has shown that doctors working in the UK have significant knowledge deficits regarding concussion diagnosis and management. Aim: The aim of this scoping review was to map out the evidence about how undergraduate medical students are being educated about concussion. Method: This scoping review involved seven research papers identified by searching five online databases in October 2020. Search terms relevant to concussion included: brain injuries, post-concussion syndrome, brain concussion and concussion, combined with search criteria for undergraduate education: medical students, undergraduate medical education, or curriculum. Results: All seven papers were published in North America, with five papers recruiting medical students from single institutions (n = 590) and two papers surveying universities. Canadian medical schools have shown an upward trend in the quantity of teaching about concussion-specific teaching: from 0.57 to 2.65 h between 2012 and 2018. Lectures were the commonest mode of delivery of teaching, followed by problem-based learning and clinical rotations. The studies reach a common conclusion that medical students are not being adequately prepared for diagnosing and managing concussion, with insufficient undergraduate teaching, particularly exposure during clinical rotations, cited as the cause. Conclusions: Concussion: education of medical students is inadequate in North America. Medical schools should help address this by providing lectures and clinical presentations on concussion to learn from, particularly via problem-based learning. There is a paucity of evidence about concussion education in other geographical areas.
Measuring in-situ reflection coefficients due to road pavements at 5.9 GHz

Planning emerging radio systems, as vehicle-to-vehicle or vehicle to infrastructure links, needs deep knowledge on the electromagnetic behaviour of the different materials involved. This Letter describes a system for measuring in-situ reflection coefficients. Besides, it gives data related to asphalt and concrete, in both wet and dry conditions, in a band from 5.8 to 6.0 GHz. Normal incidence reflection coefficients resulted to be similar in magnitude for both materials in dry conditions, and they experiment an increase of 65% after soaking the pavement. This indicates the strong influence of moisture on the electromagnetic behaviour of common road surfaces.
Optimization of Titanium Dental Mesh Surfaces for Biological Sealing and Prevention of Bacterial Colonization

Titanium dental meshes have a wide application in order to ensure the retention of calcium phosphate-based biomaterials to regenerate bone tissue. These meshes are temporary and must grow a soft tissue to prevent bacterial colonization and provide stability. In this work, we aimed to optimize the roughness of the meshes to obtain a good biological seal while maintaining a behavior that did not favor bacterial colonization. To this end, six types of surfaces were studied: machined as a control, polished, sandblasted with three different alumina sizes and sintered. The roughness, contact angles and biological behavior of the samples using fibroblast cultures at 7, 24 and 72 h were determined as well as cytotoxicity studies. Cultures of two very common bacterial strains in the oral cavity were also carried out: Streptococcus sanguinis and Lactobacillus salivarius. The results showed that the samples treated with alumina particles by sandblasting at 200 micrometers were the ones that performed best with fibroblasts and also with the number of bacterial colonies in both strains. According to the results, we see in this treatment a candidate for the surface treatment of dental meshes with an excellent performance.
Variable selection for wind turbine condition monitoring and fault detection system

With the fast growth in wind energy, the performance and reliability of the wind power generation system has become a major issue in order to achieve cost-effective generation. Integration of condition monitoring system (CMS) in the wind turbine has been considered as the most viable solution, which enhances maintenance scheduling and achieving a more reliable system. However, for an effective CMS, large number of sensors and high sampling frequency are required, resulting in a large amount of data to be generated. This has become a burden for the CMS and the fault detection system. This thesis focuses on the development of variable selection algorithm, such that the dimensionality of the monitoring data can be reduced, while useful information in relation to the later fault diagnosis and prognosis is preserved. The research started with a background and review of the current status of CMS in wind energy. Then, simulation of the wind turbine systems is carried out in order to generate useful monitoring data, including both healthy and faulty conditions. Variable selection algorithms based on multivariate principal component analysis are proposed at the system level. The proposed method is then further extended by introducing additional criterion during the selection process, where the retained variables are targeted to a specific fault. Further analyses of the retained variables are carried out, and it has shown that fault features are present in the dataset with reduced dimensionality. Two detection algorithms are then proposed utilising the datasets obtained from the selection algorithm. The algorithms allow accurate detection, identification and severity estimation of anomalies from simulation data and supervisory control and data acquisition data from an operational wind farm. Finally an experimental wind turbine test rig is designed and constructed. Experimental monitoring data under healthy and faulty conditions is obtained to further validate the proposed detection algorithms.
PEMANFAATAN SISTEM INFORMASI GEOGRAFIS DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) UNTUK PREDIKSI DAERAH RAWAN BANJIR DI KOTA SEMARANG

Perkembangan teknologi Sistem Informasi Geografis sekarang ini telah memberikan manfaat pada berbagai bidang diantaranya pariwisata, pendidikan, transportasi bahkan pengawasan bencana. Sistem informasi geografis sebagai pengawasan bencana dilakukan guna meminimalisir dampak dari bencana tersebut. Banjir merupakan bencana yang sering terjadi di Indonesia, salah satu contohnya adalah Kota Semarang. Dikarenakan faktor kemiringan lereng relatif datar, penggunaan lahan, hidrologi, jenis tanah, dan curah hujan di Kota Semarang menjadi faktor-faktor terjadinya banjir. Sistem Informasi Geografis yang dihasilkan dalam penelitian ini digunakan untuk menyajikan informasi tentang pemetaan prediksi daerah rawan banjir Kota Semarang, sehingga informasi daerah banjir dan indikator banjirnya dapat digunakan oleh dinas pemerintah dan masyarakat untuk mengantisipasi dampak bencana banjir. Informasi spasial direpresentasikan dalam bentuk gambar peta dari hasil perhitungan skoring dan pembobotan dengan metode Analytical Hierarchy Process (AHP). Dalam penelitian ini, lebih mengutamakan penerapan metode AHP sebagai metode pembobotan pada data atribut informasi spasial didalam Sistem Informasi Geografis. Pengolahan data dilakukan secara digital menggunakan ArcGIS 10.3.
Transparent UWB Antenna with IZTO/Ag/IZTO Multilayer Electrode Film

Ultra-wide band (UWB) antennas with transparent indium zinc tin oxide (IZTO)/Ag/IZTO multilayer electrode films are presented. The geometry of the radiator of the proposed UWB antenna is a simple semicircular shape, and acryl is used for the transparent substrate. Three types of proposed antennas are used for the comparison: first, an UWB antenna with a copper sheet only (CUWB); second, a transparent UWB antenna with a transparent radiator only (TRUWB); and, third, an entirely transparent UWB antenna (TUWB). The IZTO/Ag/IZTO multilayer electrode is fabricated by a physical vapor deposition process in the highly maintained vacuum. The transmittance of the multilayer film at 550 nm wavelength is over 80%, and the conductivity is 3,960,000 S/m. The proposed CUWB, TRUWB, and TUWB have peak gains of 4.17, 3.14, and 0.74 dBi and radiation efficiency levels of 84.8, 64.5, and 42.1% at the center frequency of UWB service (6.5 GHz), respectively.
A Socio-Technological Perspective of Blended Problem-based Learning

In recent years, the discourse regarding the developing and utilisation of information related digital technologies has flowed between a notion of autonomous technology and social constructivst perspectives. It is almost obvious that in real life both the social structures affect the development and the design of digitized information technology, and digitized information technology on the other side affect the social structures and how we use them. In higher education, digitized information technologies do not develop in isolation and similarly, the social structures in our classrooms do not develop free from technological influence. The Internet and associated digitized learning technologies cannot be regarded as an invention completely out of the context of all other developments in communication, culture and social organisation which have preceded them and made it both possible and necessary: there are clear interactions occurring between them but also challenges in how they unfold and operate together. In addition to technological issues for teachers and academic developers, there are problems that arise during the change process from a traditional delivery mechanism, such as the lecture, to an alternative pedagogy such as a problem-based educational model. This paper addresses the need for an analysis of interactions taking place in the blending of online and face-to-face problem-based learning tutorials in the higher education classroom. There is a specific focus on the socio-technological relationships of the academic staff who are engaged in professional/faculty development in higher education.
Proprioceptive feedback design for gait synchronization in collective undulatory robots

The collective movement of animals has long been a source of inspiration for multi-agent swarm robotics. One of the fundamental goals for swarm robotics study is to understand how effective and robust collective behaviors can emerge from simple interaction principles. When animal or robot collectives are in high-density configurations the ability for visual or auditory sensing is diminished and the opportunities for interacting through mechanical contact are enhanced. In this paper, we study how robots that move through lateral body undulation in close proximity are capable of synchronizing their oscillatory gaits through contact interactions between adjacent robots. Critically, gait phase synchronization occurs without the requirement for robot–robot communication, and instead can be engineered as an emergent property of the robot control system. We present a proprioceptive feedback control system that generates collective gait phase synchronization of undulatory robots in experiment and simulation. We first validate this control system using a simple one-dimensional toy model to demonstrate how proprioceptive feedback governs phase synchronization. Simulations and experiments with undulatory three-link robots further demonstrate how phase synchronization can be controlled. Lastly, we demonstrate that robot pairs moving in a confined tunnel can synchronize their movements which leads to faster group locomotion through confined spaces. GRAPHICAL ABSTRACT
Nucleic Acids Isolation for Molecular Diagnostics: Present and Future of the Silica-based DNA/RNA Purification Technologies

ABSTRACT At present, most commercial kits for nucleic acid isolation are silica-based. In this regard, new strategies are under development with the aim of optimizing nucleic acid purification silica-based protocols. This review aims to summarize the evolution of such strategies and highlight the current necessities to be solved by new purification methods based on silica materials. In addition, it will perform a survey of the purified DNA/RNA quality and quantity for a subsequent technique. This information is of vital importance to consider for the success of molecular diagnostics. The text was designed to guide scientists and engineers in choosing suitable DNA/RNA purification techniques for research or bioprocessing applications.
Sense of Classroom Community in Interior Design Studios: In–Person Learning versus Online Learning Approaches

Numerous studies have observed the importance of sense of community in online learning. However, developing sense of community in online interior design studios is yet to be explored. The primary purpose of this study was to assess students’ perceptions of the sense of classroom community (SCC) and learning experiences after switching their in–person to online design studios during the coronavirus disease 2019 (COVID–19) pandemic. Additionally, we examined students’ characteristics that affect SCC in online learning and the impact of SCC on students’ academic motivation and comfort levels. An online survey was administered to 100 undergraduate students enrolled in design studios at an accredited interior design program at a large public U.S. institution. From this, 57 students responded to the survey. The SCC questionnaire was based on the four dimensions of Rovai's classroom community scale. Additional items included open–ended questions and students’ characteristics such as their overall grade point average (GPA), family home environment, students’ prior online learning experience, and adaptation time to the Zoom platform. The results showed that the SCC scores of four dimensions (trust, spirit, learning, interaction) were significantly less among students during their online than in–person studios. Students’ characteristics had a mixed impact on SCC dimensions. Additionally, SCC was a significant predictor of students’ academic motivation and comfort levels in online learning. The study results are important as they make a valuable contribution to the growing area of research on online learning by advancing the understanding of students’ SCC and learning in online design studios.