Miracle-dz/UniFAR-FTUs huggingface dataset:
Half‐selection disturbance free 8T low leakage SRAM cell

This work presents a robust and low leakage new 8T static random access memory (SRAM) cell without any half‐selection disturbance. The proposed cell removes write disturbance by eliminating the trail from supply and ground. Furthermore, it removes the read disturbance by separating the read trail from the storage node. The proposed cell addresses the challenge of half select by using different control signals. The cell achieves low leakage because of virtual ground (VGND), series connected tail transistor, and access series stack transistors. To study the usefulness of the proposed SRAM, it is compared with 6T, 10T, 9T, PG9T, 7T, and 8T SRAM cells. The proposed SRAM minimizes leakage power, write power, and read power by 12.4%, 21.62%, and 29.06%. Furthermore, the proposed cell improves read and write noise margin by 57.19% and 19.96%, respectively, as compared to a conventional 6T SRAM. Again, the write energy consumption lowers to about 43.86× while read energy consumption 28.95× as compared to 10T SRAM.
EPFG: Electricity Price Forecasting with Enhanced GANS Neural Network

Power load forecasting in Data Analytics is an emerging technology. In this paper, we have proposed the Generative Adversarial Networks (GANS) neural network model as the classifier for probabilistic electricity price forecasting. To assess the performance of these frameworks, we apply our models on the dataset cater by (IESO) in Ontario, Canada. We have compared our proposed model with Random Forest, Support vector machine (SVM), and XG-Boost. MSE, RMSE, MAE metrices are considered for the evaluation of the model’s performance. The outcome indicates that the mean squared error (MSE) of our proposed model is 687.513 whereas the MSE of existing methodologies is 830.15, 746.812, and 776.201 which is more than our proposed methodology. Mean absolute error (MAE) of SVM and our proposed GANS Neural Network (EPFEG) have the lowest MAE that is 8%. Furthermore, EPFEG achieved almost 7% better accuracy than existing schemes.
Physical Interaction between Embryonic Stem Cell-Expressed Ras (ERas) and Arginase-1 in Quiescent Hepatic Stellate Cells

Embryonic stem cell-expressed Ras (ERas) is an atypical constitutively active member of the Ras family and controls distinct signaling pathways, which are critical, for instance, for the maintenance of quiescent hepatic stellate cells (HSCs). Unlike classical Ras paralogs, ERas has a unique N-terminal extension (Nex) with as yet unknown function. In this study, we employed affinity pull-down and quantitative liquid chromatography-tandem mass spectrometry (LC–MS/MS) analyses and identified 76 novel binding proteins for human and rat ERas Nex peptides, localized in different subcellular compartments and involved in various cellular processes. One of the identified Nex-binding proteins is the nonmitochondrial, cytosolic arginase 1 (ARG1), a key enzyme of the urea cycle and involved in the de novo synthesis of polyamines, such as spermidine and spermine. Here, we show, for the first time, a high-affinity interaction between ERas Nex and purified ARG1 as well as their subcellular colocalization. The inhibition of ARG1 activity strikingly accelerates the activation of HSCs ex vivo, suggesting a central role of ARG1 activity in the maintenance of HSC quiescence.
Evaluation of growth pattern and biochemical components of Chlamydomonas reinhardtii Dangeard

Chlamydomonas reinhardtii Dangeard is the simplest motile, unicellular fresh water alga of class Chlorophyceae. It also functions as the most efficient model system for converting solar energy to chemical energy in the form of various metabolites. The objective of the present work is to deal with the growth conditions/growth kinetics of Chlamydomonas reinhardtii Dangeard, required for optimal biomass production. The parameter used to study growth of algae was, photosynthetic measurement, biomass, proteins and lipid measurement, which vary with the change in the cultural conditions. Present investigations reveal that change in protein content is positively correlated with the increase in biomass, revealing that the algae can grow rapidly in laboratory/cultural conditions. Lipid content shows a negative correlation with proteins and biomass. Lipids are known to have a role as structural components, in hydration and also in signaling events. Lipids, mainly the triacyl glycerides (TAGs) act as storage compounds enabling the microalgae to survive in adverse environmental conditions. Lipidic content increases in Chlamydomonas reinhardtii increases with optimal light and nutrient system. The increase is in the form of triacyl glycerides which serve as precursors for the production of biodiesel and bioethanol. Conclusion- Further research is required to investigate the interactions of biomolecules and growth of algae.
A PIE-Based AQM for DOCSIS Cable Modems

Cable modems based on the DOCSIS(R) specification provide broadband Internet access to over one hundred million users worldwide. In some cases, the cable modem connection is the bottleneck (lowest speed) link between the customer and the Internet. As a result, the impact of buffering and bufferbloat in the cable modem can have a significant effect on user experience. The CableLabs DOCSIS 3.1 specification introduces requirements for cable modems to support an Active Queue Management (AQM) algorithm that is intended to alleviate the impact that buffering has on latency sensitive traffic, while preserving bulk throughput performance. In addition, the CableLabs DOCSIS 3.0 specifications have also been amended to contain similar requirements. This document describes the requirements on Active Queue Management that apply to DOCSIS equipment, including a description of the "DOCSIS-PIE" algorithm that is required on DOCSIS 3.1 cable modems.
Improvements in Perimeter Thoracic Mobility on Patients with COPD after Pulmonary Rehabilitation: A Case Series

Improvements in Perimeter Thoracic Mobility on Patients with COPD after Pulmonary Rehabilitation: A Case Series. ABSTRACT Purpose: To evaluate if the perimeter thoracic mobility (PTM) improvements could be identified by measuring its perimeter during pulmonary rehabilitation (PR), searching for its correlations with standards clinical and functional assessments. Design: A case series. Methods: Twenty patients underwent a PR and accessed the arterial blood gas analyses, FVC, FEV1, FEV/FEV1, 6-minute walk test (6MWT), and the PTM measurement assessed at the angle of the Louis level and the xiphoid process level. Results: PR improved PTM on the angle of Louis (p=0.03) but not on the xiphoid process. These improvements are negatively correlated with improvements in PaCO 2 . Conclusions: In COPD patients, a successful PR is accompanied by a reduction of the upper chest wall resting perimeter and by an improvement of the perimeter thoracic mobility. Clinical relevance: The centimeter tape is a useful device able to identify PTM improvements in COPD patients.
Energy climate buildings: an introduction to designing future-proof buildings in New Zealand and the tropical Pacific

It is only in the last 100 years that mankind has harnessed enough energy from, primarily, fossil fuels to be able to construct buildings that have been able to ignore the climate around them and exclude the natural environment from within them. Energy has allowed architects to design buildings that can ignore natural ventilation, daylight and the sun’s energy by replacing it with an artifi cial environment that is air-conditioned, humidifi ed and artifi cially lit. This ability to use mechanical means to control the environment has allowed architects to freely experiment with the form, fabric and materials of a building in the knowledge that however poorly the building envelope performs, the internal environment of a building can always be remedied by using more energy for cooling, heating or lighting. Architecture must now move away from those designs and styles that exclude the natural environment and move towards those that select aspects of the environment in order to maintain control of the internal environment. These are designs that are characterised by a built form that maximises the use of ambient energy, takes account of the sun’s position and allow occupants to intervene in the control system. New Zealand has historically lagged behind European countries in introducing higher standards for the environmental performance of buildings. For example, it introduced a Building Code requiring double glazing some 30 years after the UK and a rating tool for assessing buildings some 20 years behind. At the beginning of the second decade of the 21st century New Zealand is still building glass boxes and calling them ‘sustainable’. There is at present a strange paradox where buildings can have a ‘sustainability’ rating of “best practice” and yet have a building envelope that is on the threshold of breaking the law (Building Code).
A Review of Short-term Solar Photovoltaic Power Generation Prediction Methods

Enhancing the prediction accuracy of short-term photovoltaic power generation is not only crucial for the PV grid-connected,but also for solar photovoltaic utilization.In this paper,the present situation and trend of short-term solar photovoltaic power generation forecasting techniques are comprehensively discussed and analyzed.First,all kinds of short-term solar photovoltaic power generation forecasting methods are introduced.Second,short-term solar photovoltaic power generation forecasting methods are divided into two classes.One class is statistical forecast methods,and the other is physical forecast methods.Last,we discuss the prospects of short-term solar photovoltaic power generation forecasting techniques in the future.Our review shows that artificial intelligence predicting statistical methods will be the key tool for small-scale short-term power generation prediction,as prediction errors are generally in the range of 3% ~11% at present.Complex physical model methods are new short-term solar photovoltaic power generation forecasting techniques,and take full account of weather conditions such as precipitation,snow and cloud.Although these methods are in the early phase of theoretical research,some results show that these methods will be the main development and application direction for large-scale photovoltaic power plant short-term power generation prediction.
Global and Local Design Method for Fatigue Resistant Structures

Results concerning Finite Element stress analysis and fatigue life predictions of various thin-walled structures designed according to the Statically Admissible Discontinuous Stress Fields (SADSF) method are presented anddiscussed in the paper. The SADSF method is one of a very few approaches enabling effective, from the load limit analysis viewpoint, design of geometrical shapes and spatial distribution of the material for prescribed geometrical and load boundary conditions. The resultant geometry of the structure is obtained by satisfying equilibrium conditions and maintaining the same equivalent stress in each of the discrete regions of the object. Such requirements can be satisfied if a relatively simple material model is used and as a consequence the ideal rigid-plastic material model is used when the system of discrete statically admissible stress field is looked for. Although the method does not rely on the actual stress fields in the case of linear elastic material the results obtained up to date indicated that all structures designed with the help of the SADSF method had optimum static load capacity. Basic principles of the method are briefly described illustrating also the use of the method in designing global geometry of a thin-walled structure. The same method is used in the subsequent application for designing the optimum geometry of a local welded connection. The Finite Element stress analysis of thin-walled structures designed according to the SADSF method revealed very uniform membrane-type distribution of stresses over the entire structure with negligible local bending moments. All weldments designed according to the SADSF method showed significant extension of fatigue durability in comparison with the standard geometry.
Management and Outcomes of Low-Grade Gliomas in Africa: A Scoping Review Protocol

Background: Over the last decade, many advancements have been made in the management of low-grade gliomas (LGGs). Overall survival outcomes are correlated with factors such as postoperative residual volumes and specific tumor biomolecular profiles such as IDH mutation status. It is unclear whether these advancements have benefited LGG patients in Africa. This scoping review protocol outlines how the authors will evaluate the epidemiology, presentations, management and outcomes of LGGs in Africa. Methods: MEDLINE, Embase and African Journals Online will be searched from database inception to date in order to identify the relevant studies. Patients of all ages with histologically and/or radiologically confirmed LGGs that were managed in an African country will be included. Surgical and chemoradiation management of LGG tumours will be considered. Original research, reviews, commentaries, editorials and case reports will be included. Results: Primary outcomes of the review will include LGG management, morbidity and mortality. Secondary outcomes include epidemiology and recurrence of LGGs. Discussion: This scoping review will be the first to evaluate the current landscape of LGG management and outcomes in Africa, highlighting pertinent themes that may be used to guide further research as well as health system strengthening efforts by policymakers and stakeholders. Scoping Review Registration: The protocol has been registered on the Open Science Framework (OSF; registration link: https://doi.org/10.17605/OSF.IO/E732G). Highlights: LGGs account for 17% to 22% of total brain tumours and have a median survival time between 5.6 and 13.3 years. Despite many recent advancements in the management of LGGs, there is a paucity in the data within the African landscape. This scoping review will be the first to evaluate the current landscape of LGG management and outcomes in Africa, highlighting pertinent themes that may be used to guide further research and policymaking efforts.
Evaluation of Drive Cycle-Based Traction Motor Design Strategies Using Gradient Optimisation

In this paper, two design optimisation methods are evaluated using gradient-based optimisation for electric vehicle traction applications. A driving cycle-based approach is used to evaluate specific operational points for the design optimisation procedure. To determine the operational points, an energy centre of gravity (ECG) approach is used. Both optimisation methods are described, namely the point based method and the flux mapping method, with a focus on the flux mapping procedure. Within the flux mapping approach, an inner optimisation loop is defined in order to maintain the stability of gradient calculation for the gradient-based optimisation. An emphasis is placed on the importance of how the optimisation problem is defined, in terms of the objective function and constraints, and how it affects a gradient based optimisation. Based on a design case study conducted in the paper, it is found that the point-based strategy realised motor designs with a slightly lower overall cost (5.66% lower than that of the flux mapping strategy with 8 ECG points), whereas the flux mapping strategy found motor designs with a lower input energy (1.48% lower than that of the point-based strategy with 8 ECG points). This may be attributed to the difference in the definition and interpretation of constraints between these two methods. It is also shown that including more operational points from the driving cycle in the design optimisation leads to designs with reduced total input energy and thus better drive-cycle energy efficiency. This paper further illustrates the significant computational advantages of a gradient-based optimisation over a global optimisation method as it can be completed within a fraction of the time while still finding a global optimum, as long as the problem definition is correctly determined.
Molecular identification of some Fusarium isolates and their chemotypes involved in fusarium head blight on Durum wheat in Algeria

Abstract The present study reports the species identification of Fusarium isolates infecting Durum wheat cultivated in Algeria. Characterization of isolates was initially carried out based on morphological criteria and further confirmed by molecular studies. Molecular identification was performed by PCR assays using species-specific primers. The results showed that more than 40% (3/7) of the isolates belong to the F. culmorum species. This research also revealed, for the first time, the presence of F. cerealis (F. crookwellense) in Algeria. Finally, the use of primer assemblies allowed to highlight that the majority of isolates were of the DON chemotype; only two isolates were found to be NIV chemotype.
Unsupervised recycled FPGA detection using exhaustive nearest neighbor residual analysis

Measuring and analyzing aging-induced delay degradation of ring oscillators (ROs) is an effective method to detect recycled field-programmable gate arrays (FPGAs). However, detection methods of conventional recycled FPGAs detection methods assume the existence of known fresh FPGAs (KFFs) as training data for machine-learning-based classification, which is an unrealistic assumption. In this paper, we propose an unsupervised recycled FPGA detection method, where little information on KFF is available. In the proposed method, estimated frequency is calculated from neighboring ROs, and then the residual frequency between the measured and estimated frequencies is used for the detection. Because of the systematic component of process variation, the frequencies of neighboring ROs should be similar when the target FPGA is fresh. Therefore, if the residual is high, the target FPGA is determined as recycled. Experiments using 25 commercial FPGAs under various aging scenarios demonstrate that the proposed method successfully distinguishes between recycled and fresh FPGAs.
Gender Parity in Science: an Analysis of Womens's Participation in Argentina, Brazil and Paraguay

This is an open-access article distributed under the terms of the Creative Commons Attribution License. Rev. Virtual Quim. , 2022, no prelo, 1-12 ©2021 Sociedade Brasileira de Química a Universidade Federal da Integração Latino-Americana, Instituto LatinoAmericano de Tecnologia Infraestrutura e Território, Av. Presidente Tancredo Neves 6731, CEP 85867-900, Foz do Iguaçu-PR, Brasil. b Universidade Federal da Integração Latino-Americana, Instituto LatinoAmericano de Ciências da Vida e da Natureza, Av. Presidente Tancredo Neves 6731, CEP 85867-900, Foz do Iguaçu– PR, Brasil. c Universidade Estadual Paulista “Júlio de Mesquita Filho”, Faculdade de Ciências e Tecnologia, Rua Roberto Simonsen 305, CEP 19060-900, Presidente Prudente-SP, Brasil.
Dispersion of organic exciton polaritons—a novel undergraduate experiment

We report on an innovative and simple way to perform an experiment which utilizes the properties of a quantized electromagnetic field coupled to Frenkel excitons in organic materials, forming exciton–polaritons (EP). We present an optical setup, which allowed to perform precise measurements of transmission of organic optical cavities at different angles of incidence and to study the dispersion relation of EP. We provided the full theoretical background of EP and demonstrated that the experimental results are in good agreement with theoretical predictions. Furthermore, we extracted the strong coupling strength and the excitonic–photonic weights of organic cavity samples.
Emergence and evolution of agent-based referral networks

Numerous studies have shown that interpersonal communication acts as an important channel for gathering information. But if we wish to rely on interpersonal communication, we still need to figure out how to determine the right person to ask. Usually we cannot find the potential expert(s) directly, and we need some assistance from our friends or friends' friends to locate them. The phenomenon of Six Degrees of Separation indicates that it is possible to use some intelligent software agents, who can interpret the links between people and follow only the relevant one, to find the desired experts quickly. A computational model of agent-based referral networks was proposed to assist and simplify the users to find potential experts for a specified topic in a person-to-person social network, in which each user is assigned a software agent, and software agents help automate the process by a series of “referral chains”. Unlike most previous approaches, our architecture is fully distributed and includes agents who preserve the privacy and autonomy of their users. These agents learn models of each other in terms of expertise (ability to produce correct domain answers), and sociability (ability to produce accurate referrals). We study this framework experimentally to see the effects that the different variables have on each other and the efficiency of the referral networks. Furthermore, a social mechanism of reputation management was proposed to help agents (users) avoid interaction with undesirable participants in the referral networks. The mathematical theory of evidence is used to represent and propagate the reputation information in a referral network. Our approach adjusts the ratings of agents based on their observations as well the testimony from others. Moreover, we conducted several experiments to study the reputation management in different settings. Social mechanisms are even more important when some centralized reputation management mechanisms, i.e., trusted third parties, are not available. Our specific approach to reputation management leads to a decentralized society in which agents help each other weed out undesirable players.
Aplikasi Sistem Manufaktur Berbasis Web pada Industri Kecil Logam Pembuat Komponen

Pada saat ini cara berkomunikasi industri kecil menengah (IKM) dengan konsumen, umumnya masih bersifat face to face, artinya jika konsumen ingin mengetahui informasi perusahaan dan produk yang dihasilkan perusahaan secara lebih lengkap, konsumen harus mengunjungi perusahaan, atau dari pihak perusahaan melakukan pengenalan terhadap konsumen dengan cara presentasi. Hal ini mengakibatkan konsumen mengalami kesulitan memantau pesanan, memerlukan waktu yang lama untuk menentukan suatu keputusan jika konsumen ingin melakukan pemesanan produk kepada IKM. Penelitian ini berusaha merancang suatu website bagi IKM, sehingga diharapkan akan memudahkan konsumen untuk memesan produk dengan cepat, memudahkan dalam memantau pesanannya serta memudahkan perusahaan untuk mengenalkan produk- produk yang diproduksinya.