bluuebunny/crossref_metadata_2025_split huggingface dataset:
Going with Self-confirmation Endorsement in Differentiated Web Search
Authors: Komali D. , Sasank VVS , Varalakshmik PN 
Published: March 2021

Abstract
The search of information on the World Wide Web is growing rapidly; web records must have the ability to recap information according to the customer’s slant. Recurring pattern web records are manufactured to serve all customers, self-sufficient of the special needs of any individual customer. Personalization of web interest is to finished recuperation for each customer melding his/her favorable position. Every customer has a specific establishment and a specific target when chasing down information on the Web. Thusly the goal of Web interest personalization is to tailor recorded records to a particular customer in light of that customer’s leverage and slants. In any case, fruitful tweaked interest requires assembling and gathering customer information, which routinely raises veritable stresses of security infringement for a few customers. Truly, these stresses have been able to be one of the essential hindrances for sending modified look applications, and how to do insurance sparing personalization is a marvelous test. Thusly, fairness necessity strike among demand superiority and safety affirmation. Hence, security confirmation in PWS applications that model customer inclines by way of numerous levelled customer outlines has proposed using a PWS structure named UPS that can flexibly add awake to my requests. Conversely, concerning client demonstrated protection supplies. Nearby Modified Hunt and Confidentiality Defense, the Tradition Exploration convenience will, in similar method, has assumed with the goal that the regulars acquire gigantic records.
Performance characterization for high frequency CMOS voltage control ring oscillators
Authors: Venkata Nandini V , suman Shruti 
Published: March 2021

Abstract
This article mainly emphases on the performance study and characterization of CMOS voltage control ring oscillator (VCRO). The performance analysis is based on high frequency, low area, and low phase noise for different kind of techniques of VCRO at various supply voltages. The results shows higher frequency and less phase noise which can be suitable for different domain applications. Further advantage is as go on reducing the supply voltage the frequency of the VCRO is increasing rapidly. This paper helps the designers in order to choose the most suitable voltage control ring oscillator (VCRO) for their specific applications.
Design of Microchannel Induced Cantilever Sensor to Detect the Rectal Cancer
Authors: Shameem Syed. , Sindhu A. P. , Sai prabhu V. T. , Bhargavi K. , Rajesh Babu K. 
Published: March 2021

Abstract
Rectal cancer is the third most cause of cancer deaths. In the year 2020, 53,200 patients suffering from rectal cancer will die out of 1,47,950 patients who have undergone diagnosis according to the national center for health statistics. Even though the incident and mortality rates are shown as decreasing as per these statistics from 1970 to 2020 but the population rate is increased during the same period. According to statistics 3,640 patients whose age is below 50 years also will die. We have observed that there is an increase in the number of patients with rectal cancer. This is due to costly screening tests for rectal cancer. We propose a MEMS (micro electro mechanical system) based biosensor to detect and estimate the rectal cancer stages. This study also includes an array of cantilevers consisting of a microfluidic channel. These micro channels are coated with antibodies to recognize the stages of rectal cancer.
Heart Function Monitoring and Prevention of Heart Attack using Internet of Things
Authors: Nagendram  , Kalyan SSS , Baig Noore Shoail , Tej Dachuru Srujith , Mahendra Amirineni 
Published: March 2021

Abstract
Many people die of heart disease every year, as the hard tissue tightens and tightens the arteries, which can block the flow of blood through the arteries to the limbs and muscles, without causing complications. Heart disease is the leading cause of death. There are some medications that reduce heart rate and prevent fear of heart attacks such as Nitroglycerin, Beta-blockers, and immediate injections into a patient’s body. If an adult is sleeping at home and a sudden heart attack occurs it will be a dangerous condition, if the doctor is not at home to help and provide immediate medical attention. As this project progresses, place more nerves to monitor the patient’s environment and health, if the patient develops a heart attack and then the first stage of the heart is a sudden change in heart rate. As it gets too high or too low during this time, we get a heart attack using a pulse sensor and microcontroller, with the help of a microcontroller and a car the drug will be injected into the patient’s body by controlling the amount of drug flow then the controlling a heart attack is quicker, easier, and more predictable.
Design of a Dual Band Miniature Microstrip Patch Antenna
Authors: Akhil Kataru , Sudeer Adabala , Nagendram S , Kalyan SSS 
Published: March 2021

Abstract
Microstrip patch antennas perform a major task in current communication techniques. In this paper we mainly specify the model of a dual-band miniature MPA for IoT application. The specific antenna is fed through a 50Ω microstrip line feed. And the architectural layout, and simulation of the expected antenna are done using HFSS software. The ground volume of the planned antenna is 10×6.5mm2. The projected antenna having a relative permittivity of 4.4 on the FR4 epoxy surface, 0.02 loss tangent, and 1.6 mm height. The antenna has a managing frequency ranging from 5.8GHz to 14GHz with -35.84dB return loss and -17.17dB respectively. And studied in terms of gain and VSWR. The general configuration of the suggested antenna is applicable for easy designing and it can be utilized for Ku-band satellite applications, weather monitoring systems, etc.
SAR Analysis of Jute Substrate based Tri-bandAntenna for Wearable Applications
Authors: Ram Sandeep D , Prabakaran N , Madhav B T P , Lokesh Reddy D , Divya Sree K , Pavan Sai Kumar J , Salma S 
Published: March 2021

Abstract
In this communication, a textile-based circularly polarized monopole antenna was developed on jute material. The propounded textile antenna functions in the tri bands of WiMAX, WLAN, and ISM bands at the frequencies of 3.5, 4.9, and 5.8 GHz. This design was also resonating with the circular polarization. The proposed antenna was fabricated on the jute fabric and has shown an excellent characteristic in terms of resonating frequencies and axial ratios. The proposed antenna aims to work in the nearness of the human; for that purpose, we also investigated the antenna’s performance by employing it on the human body. The on-body simulation analysis was performed on a three-layer body phantom model, which was developed by considering the electrical characteristics of muscle, fat, and the skin. A good agreement in terms of the operating frequencies was observed between the measurement values in stand-alone conditions and on body placement. Specific Absorption Rate (SAR) investigation was also performed on both 1 gram and 10 grams of tissue. The results obtained from the simulation are within the SAR standards’ limits, which shows the textile antenna’s excellent performance.
Mechanical Analysis of the S&P 500 Index Time Series
Authors: Rajilić Zoran , Stupar Nikola , Malivuk Gak Dragana 
Published: March 2021

Abstract
Daily values of the stock market index S&P 500 are considered as a coordinate of an oscillating particle in discrete time. These driven nonlinear oscillations are occasionally damped, amplified and unstable. Large changes of the coordinate are usually preceded by exceptional values of the acting force parameters. Therefore, mechanical analysis enables an estimation of the risk of stock market crash. In order to better understand the problem of predictability, we have considered some artificial time series with combination of chaos and stochasticity, generated by the appropriate differential equation of motion. We indeed can roughly predict the second half of the time series, with low enough level of stochasticity, if we know the first half of the series.
The influence of various vascular access ports on MV photon beam uniformity examined on the PMMA phantom
Authors: Topčagić M , Đedović E , Osmić H , Smajlović M 
Published: March 2021

Abstract
The presence of a high-density material object such as the vascular access port made of titanium, can affect the homogeneity of dose distribution in underlying tissues. This influence depends on numerous factors but in the first place on the composition material of such an object and its geometry. In this work an influence of the various titanium-made vascular ports, placed in the 6 MV photon field, have been analyzed. The vascular ports of various sizes were placed on the top of thepolymethyl-methacrylate (PMMA) phantom which is then scanned on a computed tomography (CT) simulator to generate the digitized 3-dimensional images for the purpose of treatment planning. The treatment plans were prepared in matRad treatment planning toolkit. The beam profiles and the percentage depth doses have been analyzed. The observed maximum dose values, for ports A, B, C and D, relatively to the maximum dose value in PMMA phantom alone, were 102.25%, 100.62%, 101.78% and 102.48%, respectively. The titanium edges of the ports reduce the dose below them in amount of 8.52%, 8.64%, 10.01% and 10.04% observed for ports A, B, C and D, respectively, in comparison to the central axis dose value obtained in PMMA phantom for the port-free case. The established changes in PDD curves and beam profiles depend on the vascular access port dimensions, reservoir volumes as well as of the amount of titanium content.
Potential impacts of 1.5 °C, 2 °C global warming levels on temperature and rainfall over Madagascar
Authors: Barimalala R , Raholijao N , Pokam W , Reason C J C 
Published: March 2021

Abstract
Outputs from 25 regional climate models within the coordinated regional downscaling experiments—Africa are used to assess the impacts of the 1.5°C and 2°C global warming levels (GWLs) over Madagascar. A robust increase in the annual mean temperature ranging from 0.9°C to 1.2°C (1.3°C–1.8°C) is projected in the 1.5°C (2°C) GWL. The west and southwestern parts of the island display the highest rise in temperature. On the other hand, the changes in rainfall signals depend on the location, the months within the rain season and the warming level with the models showing a large uncertainty in the signal of changes. During early summer, the west and southwest regions exhibit an increase in total rainfall accompanied with more wet spell days and excessive amounts of extreme rainfall. In contrast, the east and the north are characterized by a deficit in total rainfall and wet spell days while the maximum number of dry spells increase. The change signals are more pronounced in the 2°C GWL. From January to April, an overall increase in total and extreme rainfall is projected over the island. The two warming levels agree on the delay in the rainfall onset and shortening of the rainfall season with the 2°C GWL depicting more modest changes in the west and southern parts of the country compared to that of 1.5 °C GWL. These results have important implications not only for the development of the country but also for the endemic biodiversity which is already suffering from the impacts of climate change.
Decadal variability modulates trends in concurrent heat and drought over global croplands
Authors: Lesk Corey , Anderson Weston 
Published: March 2021

AbstractExtreme heat and drought often reduce the yields of important food crops around the world, putting stress on regional and global food security. The probability of concurrently hot and dry conditions, which can have compounding impacts on crops, has already increased in many regions of the globe. The evolution of these trends in coming decades could have important impacts on global food security. However, regional variation and the influence of natural climate variability on these trends remains an important gap in understanding future climate risk to crops. In this study, we examine trends in concurrent hot-and-dry extremes over global maize and wheat croplands since 1950. We find that the mean extent of cropland in a joint hot-and-dry extreme increased by ∼2% over 1950–2009, and this trend has accelerated substantially since the mid-2000s, notably in the tropics. While joint hot-and-dry seasons affected at most 1%–2% of global cropland per year during the mid-20th century, they regularly exceeded this extent after about 1980, affecting up to 5% of global crop area. These results suggest that the global climate is transitioning from one in which concurrent heat and drought occur rarely to one in which they occur over an important fraction of croplands every year. While these long-term global trends are primarily attributable to anthropogenic climate change, we find they have been suppressed by decadal climate variability in some regions, especially ones with chronic food insecurity. Potential reversals in these tendencies of decadal variability would accelerate exposure of croplands to concurrent heat and drought in coming decades. We conclude by highlighting the need for research and adaptive interventions around multivariate hazards to global crops across timescales.
Global importance of methane emissions from drainage ditches and canals
Authors: Peacock M , Audet J , Bastviken D , Futter M N , Gauci V , Grinham A , Harrison J A , Kent M S , Kosten S , Lovelock C E , Veraart A J , Evans C D 
Published: March 2021

Abstract
Globally, there are millions of kilometres of drainage ditches which have the potential to emit the powerful greenhouse gas methane (CH4), but these emissions are not reported in budgets of inland waters or drained lands. Here, we synthesise data to show that ditches spanning a global latitudinal gradient and across different land uses emit large quantities of CH4 to the atmosphere. Area-specific emissions are comparable to those from lakes, streams, reservoirs, and wetlands. While it is generally assumed that drainage negates terrestrial CH4 emissions, we find that CH4 emissions from ditches can, on average, offset ∼10% of this reduction. Using global areas of drained land we show that ditches contribute 3.5 Tg CH4 yr−1 (0.6–10.5 Tg CH4 yr−1); equivalent to 0.2%–3% of global anthropogenic CH4 emissions. A positive relationship between CH4 emissions and temperature was found, and emissions were highest from eutrophic ditches. We advocate the inclusion of ditch emissions in national GHG inventories, as neglecting them can lead to incorrect conclusions concerning the impact of drainage-based land management on CH4 budgets.
Enhanced performance of a Ba0.5Sr0.5Co0.8Fe0.2O3−δ
based oxygen electrode for solid oxide electrolysis cells by decorating with Ag particles
Authors: Zheng Jie , Wang Xiaoyan , Yu Ji , Tian Ning 
Published: March 2021

Abstract
To improve the performance of a Ba0.5Sr0.5Co0.8Fe00.2O3−δ
(BSCF) oxygen electrode in a solid-oxide electrolysis cell (SOEC), Ag particles were added to increase its conductivity and thus its electrochemical performance. The experiment results showed that the polarization resistance of Ag decorated BSCF-SDC oxygen electrode with the appropriate amount of Ag particles was lower than that of BSCF-SDC oxygen electrode. Especially, the polarization resistance of Ag decorated BSCF-SDC oxygen electrode with 1.3 wt.% Ag particles (noted as 1.3Ag-BSCF-SDC) was as low as 0.006 Ω cm2. The 1.3Ag-BSCF-SDC oxygen electrode showed good stability in the short-term electrolysis durability test. The electrolysis cell based on 1.3Ag-BSCF-SDC oxygen electrode showed better performance than that based on BSCF-SDC oxygen electrode. Therefore, this method is an effective way to improve the performance of a BSCF-based oxygen electrode for an SOEC.
Study on the curing behavior of polythiol/phenolic/epoxy resin and the mechanical and thermal properties of the composites
Authors: Peng Weikai , Chen Xi , Wang Jun 
Published: March 2021

Abstract
Phenolic/epoxy resin (EP-PF) composites were prepared, in which phenolic resin and epoxy resin was used as matrix, polythiol and triethanolamine as curing accelerators. The uniform experimental design method was used to obtain the scheme, in which the resin system had minimum curing temperature. The curing kinetics and the apparent activation energy of the resin system were studied and calculated by the differential scanning calorimetry., and the mechanical and thermal properties of the composite was analyzed. The results show that when the content of polythiol was 12% and the content of triethanolamine was 11%, the peak curing temperature of the resin system was 118°C, which was lower than the phenolic resin or phenolic/epoxy resin. Tg dropped from 212 °C of PF to 157 °C of EPF and then to 147 °C of EPF-B. The thermal decomposition temperature and residual carbon rate also showed a slight downward trend, but the mechanical properties were greatly improved. The strength and flexural modulus of EPF-B have increased from 291.4 MPa and 11.2 GPa of EPF to 440 MPa and 12.3 GPa, an increase of 49% and 27%. This research provides a theoretical basis for broadening the application range of phenolic resin and epoxy resin blending system.
Lipid-polymer hybrid nanoparticles in cancer therapy: current overview and future directions
Authors: Persano Francesca , Gigli Giuseppe , Leporatti Stefano 
Published: March 2021

Abstract
Cancer remains one of the leading cause of death worldwide. Current therapies are still ineffective in completely eradicating the disease. In the last two decades, the use of nanodelivery systems has emerged as an effective way to potentiate the therapeutic properties of anti-cancer drugs by improving their solubility and stability, prolong drug half-lives in plasma, minimize drug’s toxicity by reducing its off-target distribution, and promote drugs’ accumulation at the desired target site. Liposomes and polymer nanoparticles are the most studied and have demonstrated to be the most effective delivery systems for anti-cancer drugs. However, both liposomes and polymeric nanoparticles suffer from limitations, including high instability, rapid drug release, limited drug loading capacity, low biocompatibility and lack of suitability for large-scale production. To overcome these limitations, lipid-polymer hybrid nanoparticles (LPHNPs) have been developed to merge the advantages of both lipid- and polymer-based nanocarriers, such as high biocompatibility and stability, improved drug loading and controlled release, as well as increased drug half-lives and therapeutic efficacy. This review provides an overview on the synthesis, properties and application of LPHNPs for cancer therapy.
S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types
Authors: Xiang Guanjue , Giardine Belinda M , Mahony Shaun , Zhang Yu , Hardison Ross C 
Published: March 2021

Abstract

Summary
Epigenetic modifications reflect key aspects of transcriptional regulation, and many epigenomic datasets have been generated under different biological contexts to provide insights into regulatory processes. However, the technical noise in epigenomic datasets and the many dimensions (features) examined make it challenging to effectively extract biologically meaningful inferences from these datasets. We developed a package that reduces noise while normalizing the epigenomic data by a novel normalization method, followed by integrative dimensional reduction by learning and assigning epigenetic states. This package, called S3V2-IDEAS, can be used to identify epigenetic states for multiple features, or identify discretized signal intensity levels and a master peak list across different cell types for a single feature. We illustrate the outputs and performance of S3V2-IDEAS using 137 epigenomics datasets from the VISION project that provides ValIdated Systematic IntegratiON of epigenomic data in hematopoiesis.

Availability and implementation
S3V2-IDEAS pipeline is freely available as open source software released under an MIT license at: https://github.com/guanjue/S3V2_IDEAS_ESMP.

Supplementary information
Supplementary data are available at Bioinformatics online.
Protein interaction interface region prediction by geometric deep learning
Authors: Dai Bowen , Bailey-Kellogg Chris 
Published: March 2021

Abstract

Motivation
Protein–protein interactions drive wide-ranging molecular processes, and characterizing at the atomic level how proteins interact (beyond just the fact that they interact) can provide key insights into understanding and controlling this machinery. Unfortunately, experimental determination of three-dimensional protein complex structures remains difficult and does not scale to the increasingly large sets of proteins whose interactions are of interest. Computational methods are thus required to meet the demands of large-scale, high-throughput prediction of how proteins interact, but unfortunately, both physical modeling and machine learning methods suffer from poor precision and/or recall.

Results
In order to improve performance in predicting protein interaction interfaces, we leverage the best properties of both data- and physics-driven methods to develop a unified Geometric Deep Neural Network, ‘PInet’ (Protein Interface Network). PInet consumes pairs of point clouds encoding the structures of two partner proteins, in order to predict their structural regions mediating interaction. To make such predictions, PInet learns and utilizes models capturing both geometrical and physicochemical molecular surface complementarity. In application to a set of benchmarks, PInet simultaneously predicts the interface regions on both interacting proteins, achieving performance equivalent to or even much better than the state-of-the-art predictor for each dataset. Furthermore, since PInet is based on joint segmentation of a representation of a protein surfaces, its predictions are meaningful in terms of the underlying physical complementarity driving molecular recognition.

Availability and implementation
PInet scripts and models are available at https://github.com/FTD007/PInet.

Supplementary information
Supplementary data are available at Bioinformatics online.
A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks
Authors: G S Smrithy , Balakrishnan Ramadoss 
Published: March 2021

Abstract
In healthcare scenario, the major challenge in anomaly detection for remote patient monitoring is to classify true medical conditions and false alarms. This paper proposes a light-weight anomaly detection (LWAD) framework for detecting anomalies in remote patient monitoring based on wireless body area networks. The proposed framework uses distance correlation for finding correlated (both linear and non-linear) physiological parameters. It also uses a statistical-based improvised dynamic sliding window algorithm for efficient short-range prediction of physiological parameters. Finally, the proposed LWAD framework detects anomalies using anomaly detection framework based on robust statistical techniques. The validation of LWAD framework is performed using three real time datasets with various statistical measures. The proposed LWAD framework outperforms existing methods.