bluuebunny/crossref_metadata_2025_split huggingface dataset:
Power Quality improvement provide Digital Economy by the Smart Grid
Authors: Hossain Bagdadee Amam , Zhang Li 
Published: November 2019

Abstract
The developing power supply characterises in smart grid networks of the power system with high power quality (PQ) for the digital economy as one of the attributes. Consumers need good power quality to meet the demand. Consumers consider reliable power that is not affected by interruption and clean energy without unstable influence. The focus of this paper is on good power quality for reducing economic impact. As a result of the vital role that sophisticated, intelligent devices accept in today’s economy attention to PQ is beneficial.T he level of the power quality is transmitted power can change from different “standard” to” premium” by consumer demands. Smart grids provide power grade changes and increase the value of variables in the same way. The evaluation of the power transmitted is mostly dependent on the structure of the electricity transmission that provides services for individual consumers. Unique considerations are specified to control the effects on power quality impact. Smart grids increase the power transmission framework and mitigate the effects of poor PQ starting with regenerative components. The promoted control strategy entire filter and necessary element make quick decisions and accurate solutions on every stage of PQ opportunity. Similarly, the grid structure emphasises the reduction of unstable effects of PQ. The smart grid drive section applies the latest research on superconductivity, materials, energy storage, and reliable modern technology to improve power quality.
A State of the Art Review of Electric Vehicle to Grid (V2G) technology
Authors: Shariff Samir M , Iqbal Danish , Saad Alam M , Ahmad Furkan 
Published: November 2019

Abstract
Greenhouse gas emission, fast depletion of fossil fuels, the oil crisis and the increased cost of petroleum products are the major factors that need a shift from internal combustion engines to Electric Vehicles. The commercial deployment of EVs requires a large charging infrastructure to charge and discharge the EVs. Vehicle to Grid is a new emerging technology which came into existence because a large number of EVs can be used as load as well as an energy storage system to support the grid. However, the uncoordinated EV charging shows the crucial impact on the power system. Thus, optimum coordination of the V2G system needed. Thus, this paper presents a comprehensive state of art research of V2G system. The presented paper describes the methodology adopted for power flow under V2G scheme. Further, it explains the key barriers for adoption of V2G at a commercial level. Moreover, the state of art comparison is given for V2G, vehicle to home (V2H) and vehicle to vehicle (V2V). Later, the various optimization techniques have explained how they support the optimal energy management system under a coordinated V2G system.
Response of composite laminate with various cut-out combinations to tension load
Authors: Jhanji Kanu Priya , Amit Kumar R , Das Debajit , Sarkar Shivanshu 
Published: November 2019

Abstract
All parts like adaptor plates, swash plates, repair patches and components providing way to wires have multiple cut-outs and as composites are replacing metals and alloys in many of these components it is necessary to understand the composite material’s reaction to mechanical loads in presence of cut-outs. In this work, experiments were conducted to note the impact of combination of various cut-outs on the UTS (ultimate tensile strength) of GFRC. Result shows that specimens containing combination of square and circular cut-outs can carry highest loads before failure as compared to other combinations.
Nano scratch and Nanoindentation: An Approach to Understand the Tribological Behaviour of Max Phase Material Ti2AlC
Authors: Singh Jagtar , Wani M. F. , Banday Summera , Shekhar Chandra , Singh Gurtej 
Published: November 2019

Abstract
The tribological behaviour of max phase material Ti2AlC was investigated by nano scratch and nanoindentation. Ti2AlC samples were prepared by hot Isostatic pressing and Roughness of 0.002 µm of the Ti2AlC samples were measured by Optical 3D profilometer.Nano scratch tests were conducted at low loads 2000-10000 µN to investigate the tribological property of the MAX Phase Ti2AlC sample. Structural analysis and microstructure of MAX Phase Ti2AlC were measured by Raman Spectroscopy and Optical microscope.The results indicate thatthe mechanical properties decrease with increase in load as well as dwell time and tribological properties also decrease as COF increases with increase in load.
Low Power Cubic Computation Unit Using Vedic Sutras
Authors: Aatmica P , Ranjith V , Nimalsurya I , Ramesh S R 
Published: November 2019

Abstract
In this era of ever blooming technology, devices are developed to be more compatible and handy for the usage of people. Diminishing on-chip power has been the major concern in this nanotechnology period. Very-large-scale integration (VLSI) is the practice of developing an integrated circuit by combining several hundreds of transistors or other devices in a single chip. VLSI allows numerous functions to be added on in a single chip. Each process has inherently higher dynamic and leakage currents. Power dissipation of devices is the main concern when it applies to portable devices. Having high on-chip power degrades the devices reliability and its lifetime. There are various methods of reducing power usage by employing different algorithms, architectures, circuit logics and technology like threshold reduction. This work presents a cubic architecture designed using Vedic sutras from Vedic mathematics. It is compared with conventional architecture. Square of a binary number can be determined by using Dwanda yoga sutra of Vedic mathematics. It focuses at low power design of the architecture. This work shows that the proposed architecture has 21.53% and 46.56 % decrease in area and power respectively.
Sensor’s Data Transmission over QAM Using LDPC Over MIMO Channel to enhance the Channel capacity: Performance analysis over RMSE and BER
Authors: Panem Charanarur , Gad Vinaya R. , Gad Rajendra S. 
Published: November 2019

Abstract
Modern communications systems utilize effective encoding plans, multiple-input multiple-output (MIMO) and high-order QAM-constellations for improves spectral efficiency. However, as the dimensions of the system grow, the design of efficient and low-complexity MIMO receivers possesses technical difficulties. Here in this paper, we have demonstrated data reduction method using Principal Component Analysis (PCA) to fuse the data at sensor level at the transmitter and regress the same at the receiver for improvising the channel capacity of the system. We have fused 45 signals sensor data having a bandwidth from 100Hz - 3000Hz which is sampled at 6000 Hz each. The regression is measured using the RMSE of the transmitted and received signals. Also, the communication system has demonstrated the performance of the 2, 4, 8QAM modulation technique with and without LDPC decoder(log-domain) for 2x2, 3x3, 4x4 Multiple Input Multiple Output(MIMO) channel for Bit Error Rate (BER). The performance parameters for data regression and communication error is evaluated over AWGN channel ranging from -15dB to 40dB SNR. The proposed system useful for the next generation low bandwidth communication system such as wireless systems developments, i.e., WiMAX and 4G, 5G, 6G.
An intelligent control strategy for vehicle-to-grid and grid-to-vehicle energy transfer
Authors: Patil Vinayak , Sindhu M R 
Published: November 2019

Abstract
In this work a Fuzzy logic based control strategy for Vehicle to Grid and Grid to Vehicle energy transfer with pricing strategy for EV(Electric vehicle) and PHEV(Plug-in Hybrid Electric Vehicles) is proposed. The method proposed allows the vehicles in the public charging station or in home to intelligently charge/discharge based on the preferences of owner also taking care of grid safe operational conditions. The system discussed in this work will charge or discharge the vehicles by assigning priorities among the vehicles at the public parking infrastructure based on information of initial State of Charge of vehicle, State of Charge to be achieved at the end of charging/discharging, duration for which vehicle stays in parking infrastructure, and also proposes pricing strategy based on prediction technique to maintain uniform energy consumption of EV or PHEV on day-to-day basis. By the proposed method these charging and discharging mechanics of EV or PHEV can be leveled, scheduled, and managed intelligently.
Design of Manchester Carry Chain Adder using High speed Domino Logic
Authors: Das P , Bhalerao A L , Mane A , A Angeline A , Bhaaskaran V S K 
Published: November 2019

Abstract
Dynamic logic circuits are preferred over static logic circuits for their increased speed performance and lower power consumption. However, they are found prone to false evaluation while cascading multiple stages of dynamic logic circuits. To overcome this problem, the domino logic circuits were proposed by researchers. However, they offer reduced noise margins due to increased leakage current and charge sharing problems. In this paper, Manchester Carry Chain Adder design is explored for use with domino logic and comparison of various domino logic topologies intended for improved noise immunity and reduced leakage current against the proposed structure have been carried out. Wide fan-in gates and 8-bit Manchester Carry Chain Adder (MCC) based on various high speed domino logic circuit topologies have been designed using Cadence® using 180nm technology library from TSMC. Design of 8-bit OR gate, using High Speed Domino (HSD) topology consumes 10.8% lower power in comparison with Controlled-Current Comparison-based domino logic (C3D) topology. Furthermore, it is observed that an 8-bit Manchester Carry Chain adder using HSD topology is 5.027 times faster than C3D topology and the leakage power consumption is also reduced.
The development of a high throughput drug-responsive model of white adipose tissue comprising adipogenic 3T3-L1 cells in a 3D matrix
Authors: Graham Alexander D , Pandey Rajesh , Tsancheva Viktoriya S , Candeo Alessia , Botchway Stanley W , Allan Alasdair J , Teboul Lydia , Madi Kamel , Babra Tahkur S , Zolkiewski Louisa A K , Xue Xuan , Bentley Liz , Gannon Joan , Olof Sam N , Cox Roger D 
Published: November 2019

Abstract
Adipose models have been applied to mechanistic studies of metabolic diseases (such as diabetes) and the subsequent discovery of new therapeutics. However, typical models are either insufficiently complex (2D cell cultures) or expensive and labor intensive (mice/in vivo). To bridge the gap between these models and in order to better inform pre-clinical studies we have developed a drug-responsive 3D model of white adipose tissue (WAT). Here, spheroids (680 ± 60 μm) comprising adipogenic 3T3-L1 cells encapsulated in 3D matrix were fabricated manually on a 96 well scale. Spheroids were highly characterised for lipid morphology, selected metabolite and adipokine secretion, and gene expression; displaying significant upregulation of certain adipogenic-specific genes compared with a 2D model. Furthermore, induction of lipolysis and promotion of lipogenesis in spheroids could be triggered by exposure to 8-br-cAMP and oleic-acid respectively. Metabolic and high content imaging data of spheroids exposed to an adipose-targeting drug, rosiglitazone, resulted in dose-responsive behavior. Thus, our 3D WAT model has potential as a powerful scalable tool for compound screening and for investigating adipose biology.
Risk Prediction Models for Head and Neck Cancer in the US Population From the INHANCE Consortium
Authors: Lee Yuan-Chin Amy , Al-Temimi Mohammed , Ying Jian , Muscat Joshua , Olshan Andrew F , Zevallos Jose P , Winn Deborah M , Li Guojun , Sturgis Erich M , Morgenstern Hal , Zhang Zuo-Feng , Smith Elaine , Kelsey Karl , McClean Michael , Vaughan Thomas L , Lazarus Philip , Chen Chu , Schwartz Stephen M , Gillison Maura , Schantz Stimson , Yu Guo-Pei , D’Souza Gypsyamber , Gross Neil , Monroe Marcus , Kim Jaewhan , Boffetta Paolo , Hashibe Mia 
Published: November 2019

Abstract
Head and neck cancer (HNC) risk prediction models based on risk factor profiles have not yet been developed. We took advantage of the large database of the International Head and Neck Cancer Epidemiology (INHANCE) Consortium, including 14 US studies from 1981–2010, to develop HNC risk prediction models. Seventy percent of the data were used to develop the risk prediction models; the remaining 30% were used to validate the models. We used competing-risk models to calculate absolute risks. The predictors included age, sex, education, race/ethnicity, alcohol drinking intensity, cigarette smoking duration and intensity, and/or family history of HNC. The 20-year absolute risk of HNC was 7.61% for a 60-year-old woman who smoked more than 20 cigarettes per day for over 20 years, consumed 3 or more alcoholic drinks per day, was a high school graduate, had a family history of HNC, and was non-Hispanic white. The 20-year risk for men with a similar profile was 6.85%. The absolute risks of oropharyngeal and hypopharyngeal cancers were generally lower than those of oral cavity and laryngeal cancers. Statistics for the area under the receiver operating characteristic curve (AUC) were 0.70 or higher, except for oropharyngeal cancer in men. This HNC risk prediction model may be useful in promoting healthier behaviors such as smoking cessation or in aiding persons with a family history of HNC to evaluate their risks.
Evaluation of the Normality Assumption in Meta-Analyses
Authors: Wang Chia-Chun , Lee Wen-Chung 
Published: November 2019

AbstractRandom-effects meta-analysis is one of the mainstream methods for research synthesis. The heterogeneity in meta-analyses is usually assumed to follow a normal distribution. This is actually a strong assumption, but one that often receives little attention and is used without justification. Although methods for assessing the normality assumption are readily available, they cannot be used directly because the included studies have different within-study standard errors. Here we present a standardization framework for evaluation of the normality assumption and examine its performance in random-effects meta-analyses with simulation studies and real examples. We use both a formal statistical test and a quantile-quantile plot for visualization. Simulation studies show that our normality test has well-controlled type I error rates and reasonable power. We also illustrate the real-world significance of examining the normality assumption with examples. Investigating the normality assumption can provide valuable information for further analysis or clinical application. We recommend routine examination of the normality assumption with the proposed framework in future meta-analyses.
Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images
Authors: Xu Ying-Ying , Shen Hong-Bin , Murphy Robert F 
Published: November 2019

Abstract

Motivation
Systematic and comprehensive analysis of protein subcellular location as a critical part of proteomics (‘location proteomics’) has been studied for many years, but annotating protein subcellular locations and understanding variation of the location patterns across various cell types and states is still challenging.

Results
In this work, we used immunohistochemistry images from the Human Protein Atlas as the source of subcellular location information, and built classification models for the complex protein spatial distribution in normal and cancerous tissues. The models can automatically estimate the fractions of protein in different subcellular locations, and can help to quantify the changes of protein distribution from normal to cancer tissues. In addition, we examined the extent to which different annotated protein pathways and complexes showed similarity in the locations of their member proteins, and then predicted new potential proteins for these networks.

Availability and implementation
The dataset and code are available at: www.csbio.sjtu.edu.cn/bioinf/complexsubcellularpatterns.

Supplementary information
Supplementary data are available at Bioinformatics online.
Pair-based likelihood approximations for stochastic epidemic models
Authors: Stockdale Jessica E , Kypraios Theodore , O’Neill Philip D 
Published: November 2019

Summary
Fitting stochastic epidemic models to data is a non-standard problem because data on the infection processes defined in such models are rarely observed directly. This in turn means that the likelihood of the observed data is intractable in the sense that it is very computationally expensive to obtain. Although data-augmented Markov chain Monte Carlo (MCMC) methods provide a solution to this problem, employing a tractable augmented likelihood, such methods typically deteriorate in large populations due to poor mixing and increased computation time. Here, we describe a new approach that seeks to approximate the likelihood by exploiting the underlying structure of the epidemic model. Simulation study results show that this approach can be a serious competitor to data-augmented MCMC methods. Our approach can be applied to a wide variety of disease transmission models, and we provide examples with applications to the common cold, Ebola, and foot-and-mouth disease.
Regulation, Registration and Social Work: An International Comparison
Authors: Worsley Aidan , Beddoe Liz , McLaughlin Ken , Teater Barbra 
Published: November 2019

AbstractThe anticipated change of social work regulator in England from the Health and Care Professions Council to Social Work England in 2019 will herald the third, national regulator in seven years for the social work profession. Social Work England will be a new, bespoke, professionally specific regulator established as a non-departmental public body with a primary objective to protect the public. Looking globally, we can observe different approaches to the regulation of the social work profession—and many different stages of the profession’s regulatory journey between countries. Using a comparative policy analysis approach and case studies, this article looks more closely at three countries’ arrangements and attempts to understand why regulation might take the shape it does in each country. The case studies examine England, the USA (as this has a state approach, we focus on New York) and New Zealand, with contributions from qualified social work authors located within each country. We consider that there are three key elements to apply to analysis: definition of role and function, the construction of the public interest and the attitude to risk.
Exploiting the passenger ACO1-deficiency arising from 9p21 deletions to kill T-cell lymphoblastic neoplasia cells
Authors: Gonzalez-Sanchez Laura , Cobos-Fernandez Maria A , Lopez-Nieva Pilar , Villa-Morales Maria , Stamatakis Konstantinos , Cuezva Jose M , Marin-Rubio Jose L , Vazquez-Dominguez Irene , Gonzalez-Vasconcellos Iria , Salido Eduardo , Llamas Pilar , Lopez-Lorenzo Jose L , Santos Javier , Fernandez-Piqueras Jose 
Published: November 2019

AbstractPrecursor T-cell lymphoblastic neoplasms are aggressive malignancies in need for more effective and specific therapeutic treatments. A significant fraction of these neoplasms harbor deletions on the locus 9p21, targeting the tumor suppressor CDKN2A but also deleting the aconitase 1 (ACO1) gene, a neighboring housekeeping gene involved in cytoplasm and mitochondrial metabolism. Here we show that reducing the aconitase activity with fluorocitrate decreases the viability of T-cell lymphoblastic neoplasia cells in correlation to the differential aconitase expression. The consequences of the treatment were evidenced in vitro using T-cell lymphoblastic neoplasia cell lines exhibiting 9p21 deletions and variable levels of ACO1 expression or activity. Similar results were observed in melanoma cell lines, suggesting a true potential for fluorocitrate in different cancer types. Notably, ectopic expression of ACO1 alleviated the susceptibility of cell lines to fluorocitrate and, conversely, knockdown experiments increased susceptibility of resistant cell lines. These findings were confirmed in vivo on athymic nude mice by using tumor xenografts derived from two T-cell lines with different levels of ACO1. Taken together, our results indicate that the non-targeted ACO1 deficiency induced by common deletions exerts a collateral cellular lethality that can be used as a novel therapeutic strategy in the treatment of several types of cancer.
Phylogenetic Analysis of Human Immunodeficiency Virus from People Who Inject Drugs in Indonesia, Ukraine, and Vietnam: HPTN 074
Authors: Sivay Mariya V , Grabowski Mary Kathryn , Zhang Yinfeng , Palumbo Philip J , Guo Xu , Piwowar-Manning Estelle , Hamilton Erica L , Viet Ha Tran , Antonyak Svitlana , Imran Darma , Go Vivian , Liulchuk Maria , Djauzi Samsuridjal , Hoffman Irving , Miller William , Eshleman Susan H 
Published: November 2019

Abstract

Background
HIV Prevention Trials Network (HPTN) 074 evaluated human immunodeficiency virus (HIV) prevention interventions for people who inject drugs (PWID) in Indonesia, Ukraine, and Vietnam. Study interventions included support for HIV infection and substance use treatment. The study enrolled index participants living with HIV and injection partners who were not living with HIV. Seven partners acquired HIV infection during the study (seroconverters). We analyzed the phylogenetic relatedness between HIV strains in the cohort and the multiplicity of infection in seroconverters.

Methods
Pol region consensus sequences were used for phylogenetic analysis. Data from next-generation sequencing (NGS, env region) were used to evaluate genetic linkage of HIV from the 7 seroconverters and the corresponding index participants (index-partner pairs), to analyze HIV from index participants in pol sequence clusters, and to analyze multiplicity of HIV infection.

Results
Phylogenetic analysis of pol sequences from 445 index participants and 7 seroconverters identified 18 sequence clusters (2 index-partner pairs, 1 partner-partner pair, and 15 index-only groups with 2–7 indexes/cluster). Analysis of NGS data confirmed linkage for the 2 index-partner pairs, the partner-partner pair, and 11 of the 15 index-index clusters. The remaining 5 seroconverters had infections that were not linked to the corresponding enrolled index participant. Three (42.9%) of the 7 seroconverters were infected with more than 1 HIV strain (3–8 strains per person).

Conclusions
We identified complex patterns of HIV clustering and linkage among PWID in 3 communities. This should be considered when designing strategies for HIV prevention for PWID.

Clinical Trials Registration
NCT02935296.