bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transients Analysis in AC Microgrid System
Authors: Rashid Umar , Dhillon Javed 
Published: September 2022

Abstract
In the modern power system, small scale versions of the power grid termed as Microgrid are being greatly used because of the practical, economic and environmental advantages over conventional structure. Microgrid as the word itself suggests (micro-small and grid-interconnection of different elements) is the advanced technology that is being currently endorsed for future power systems in electrical engineering world. Transients are produced in microgrids due to the fluctuating nature of loads and the irregular behaviour of renewable power generation, particularly whenever the transition from grid linked to islanded state happens. In this paper, for controlling the transients during the transition in islanded mode in microgrid comprising of various energy resources like Diesel Generator, Solar Photovoltaic System, Energy Storage System, Flux Coupling Type Super Conducting Fault Current Limiter (FSFCL) is used. By incorporating the FSFCL in the microgrid, transient behaviour of the microgrid is greatly improved. The model analysis is done using the MATLAB’s Simulink Software and the output results in presence and absence of Flux coupling type SFCL is compared. The output results which are obtained show the supremacy of the suggested device in reducing the transients in microgrid.
A Brief Study on Object Detection and Tracking
Authors: Kumar Chinthakindi Kiran , Rawal Kirti 
Published: September 2022

Abstract
The detection and tracking of objects in computer vision systems is a critical and challenging subject. Object identification and tracking currently has applications in a wide range of industries, including surveillance, autonomous robot navigation and vehicle navigation because to the increased accessibility of computing power and vast public datasets. When analyzing an image, the object tracking algorithm goal is to divide the region of interest, monitor its motion and location and identify any blobs. Every tracking necessitates an object detection mechanism either in each frame or whenever an object appears for the first time in the video sequence. The availability of high performance processors and low cost-high quality video cameras has enhanced the need of automated object tracking video sequences. Multiple object Identification and tracking in a dynamic environment has recently become focus of computer vision research. In this paper we discuss about the various object detection and tracking algorithms.
Comparative Analysis of Vedic Multiplier using Various Adder Architectures
Authors: Yadav Jatin , Kumar Anupam , Shareef Shaik , Bansal Sandeep , Rathour Navjot 
Published: September 2022

Abstract
The performance of a microprocessor depends on the efficient multiplier as it is one of the most principal component in various digital circuits. This paper reviews optimization techniques for high speed Vedic multiplier design which is based on Urdhva Tiryakbhyam Sutra of Ancient Indian Vedic Mathematics. This particular sutra is the most efficient one as it gives minimum delay for all types of complex multiplication. Adder being the most important component in a multiplier design, using the efficient adder will enhance the performance of Vedic multiplier. During the comparison, different adder topologies like Carry Look ahead Adder, Kogge Stone Adder, Carry Skip Adder are used to compare area, delay and power. The reviewed methods are implemented on 45nanometer(nm), 90nm and 180 nm CMOS technology. The results of all the prior approaches are reviewed and an efficient method out of them has been proposed.
Effects of Different Intensity Modulator On The Generation of MM-Waves in RoF System
Authors: Gupta Raghav , Singh Ajmer 
Published: September 2022

Abstract
The increasing demand of wireless network has strongly take interests of new transmission systems. A phase shift of 80 GHz – 120 GHz is achieved for the millimeter wave by using SBS technique that is beneficial for the 5G networks. RoF technique requires the optical modulators in the transmitter side. Performance of different modulators such as Amplitude Modulator, Phase Modulator, Electro Absorption Modulator, and Mach Zehnder Modulator is analyzed in this demonstrated work. Performance comparison of all modulators shows that the SNR (93.32) and output power (71.56) of the system is maximum in MZM. Results shows that the system has the high power, good SNR and enhanced frequency shifts.
Investigation of FSO Using Polarization Diversity Under Clear Weather, Haze and Rain
Authors: Chawla Sachin 
Published: September 2022

Abstract
Free space optical communication (FSO) is cost effective and potential technology for realization of transmission in hilly areas and for roof top communication in congested areas. In this work, a 32 channel WDM system employing polarization diversity technique is proposed in free space optical communication. Atmospheric turbulences plays vital role in system performance such as clear weather, haze and rain. Investigation has been done for different turbulences and effects are analysed. It is observed that system performs worst and better in case of rain and clear weather respectively.
Bandwidth Enhancement Technique for Microstrip Antenna for Higher X-Band and Ku-Band for Next Generation Wi-Fi and Wi-max Applications
Authors: Tiwari Praveen , Malik Praveen Kumar , Kaur Amandeep 
Published: September 2022

Abstract
This paper presents the novel design and fabrication of a square shaped array antenna for transmission in the higher X band and Ku-band. The influence of the constituent square’s size factor over the signal quality with the squares positioned in various array configurations is recorded and reported using a discretized design approach. The design was fabricated and tested to meet the needed standards after being optimized using the antenna simulator software. A novel DC shorting approach has been devised and reported to improve antenna performance. Major antenna performance parameters are being observed and found in accord with the literature.
Evaluation of the effect of 5G Hardware Impairments on achieving high Energy Efficiency
Authors: Vaishnavi Bogabathina , Sharma Kamal Kumar 
Published: September 2022

Abstract
The most demanding constraints for next-generation wireless communication systems (5G) are meeting ever-increasing requirement for high data rates while providing a seamless quality of service across the whole network. The deployment of huge Massive Input Massive Output array of antenna and Small cell spatial densification are significant facilitators of high information output, broader scope, as well as increased energy efficiency. However, there are certain critical drawbacks with this technology that must be solved, including performance decrease owing to hardware limitations. To that end, this essay investigates Hardware flaws and their consequences for massive multiple-input multiple-output. In addition, The EE expanding point of operation may be negligible in terms of spectral efficiency, and by increasing the number of base stations, energy may be considerably enhanced.
Prediction model of heart diseases based on hybrid model
Authors: Morya Rimpy , Singh Someet 
Published: September 2022

Abstract
Heart diseases are crucial cause of global death. Premature detection of heart diseases and uninterrupted analysis decreases the death rate. The detection of heart diseases using various machine learning algorithm is implemented for analysis of the heart attack in minimum time. Machine learning plays a very important role in the prevention of diseases and huge comprehension a health record. Recent trend in machine learning methodology being wield in contemporary evolution in different sector of internet of things. There is different algorithm in machine learning, which is analysis of heart diseases along with different accuracy. The purpose of this research to develop machine learning model to detect the heart diseases. In this a hybrid algorithm is proposed using combination of KNN and logistic regression algorithm. Furthermore, a protype is developed which consist of set of sensors to monitor the timely for prediction or analysis of heart attack.
Detection of Lung cancer using Digital image Processing techniques and Artificial Neural Networks
Authors: Reddy Badireddygari Anurag , Mandal Danvir 
Published: September 2022

Abstract
In today’s life digital image processing plays keys role. Digital Image processing using in medical field changes the medical world drastically. Medical imaging is growing speedily due to developments in image processing techniques including image recognition, analysis and enhancement. Now a day’s different types diseases that have facing humans in daily life. In this Lung cancer is one of the major diseases that show devastating in humans heavily. Lung cancer is one of the major causes of death in humans. Lung cancer is normally carried out by trained professionals and these are majorly helpful in early stage of detection. This detection method introduces the possibility of human errors which consequences an automated process. In this paper it is mainly aims to detect the lung cancer at an early stage through an automated process and reduces the human errors and gets the accurate results. There are different types of processing techniques are currently using. Artificial neural network processing plays important role to identify the cancer tissues which are in lungs. Early stage of detection will save the human life.
The current pulses characteristics of the negative corona discharge in SF6/CF4 mixtures
Authors: GAO Qingqing , WANG Xiaohua , ADAMIAK Kazimierz , YANG Aijun , LIU Dingxin , NIU Chunping , ZHANG Jiawei 
Published: September 2022

Abstract
This paper presents the results of numerical investigation of the current pulses characteristics in SF6/CF4 mixtures for the negative point-plane corona discharge. The pressure and the temperature of gas mixtures are 0.4 MPa and 300 K, respectively. The CF4 content varies from 20% to 80%. The 2D axisymmetric geometry with point-plane electrodes is investigated, and the three drift-diffusion equations are solved to predict the characteristics of the negative corona discharge. In addition, Poisson’s equation is coupled with the above three continuity equations to calculate the electric field. In order to calculate the electron impact coefficients, including the Townsend ionization and attachment coefficients, as well as the mobilities and diffusion coefficients for electrons, the two-term Boltzmann equation is solved. The characteristics of three ionic species at five stages of the first current pulse in 60%SF6-40%CF4 and 20%SF6-80%CF4 mixtures are selected to discuss the development mechanism of current pulses. Moreover, the reduced electric field strengths at the corresponding time instants are presented to help understand the discharge process. The current waveform and the total number of three species are compared in all the cases to analyze the effects of the CF4 content on the discharge. The reduced electric field strength is also helpful in understanding the effects of CF4 content. When the CF4 content increases to 80%, the discharge is more intensive and the pulse frequency also increases.
Psychotropic drug treatment for agitated behaviour in dementia: what if the guideline prescribing recommendations are not sufficient? A qualitative study
Authors: Dijk Margaretha T , Tabak Sarah , Hertogh Cees M P M , Kok Rob M , van Marum Rob J , Zuidema Sytse U , Sizoo Eefje M , Smalbrugge Martin 
Published: September 2022

Abstract

Background
Agitation is a common challenging behaviour in dementia with a negative influence on patient’s quality of life and a high caregiver burden. Treatment is often difficult. Current guidelines recommend restrictive use of psychotropic drug treatment, but guideline recommendations do not always suffice.

Objective
To explore how physicians decide on psychotropic drug treatment for agitated behaviour in dementia when the guideline prescribing recommendations are not sufficient.

Methods
We conducted five online focus groups with a total of 22 elderly care physicians, five geriatricians and four old-age psychiatrists, in The Netherlands. The focus groups were thematically analysed.

Results
We identified five main themes. Transcending these themes, in each of the focus groups physicians stated that there is ‘not one size that fits all’. The five themes reflect physicians’ considerations when deciding on psychotropic drug treatment outside the guideline prescribing recommendations for agitated behaviour in dementia: (1) ‘reanalysis of problem and cause’, (2) ‘hypothesis of underlying cause and treatment goal’, (3) ‘considerations regarding drug choice’, (4) ‘trial and error’ and (5) ‘last resort: sedation’.

Conclusion
When guideline prescribing recommendations do not suffice, physicians start with reanalysing potential underlying causes. They try to substantiate and justify medication choices as best as they can with a hypothesis of underlying causes or treatment goal, using other guidelines, and applying personalised psychotropic drug treatment.
New horizons for caring for people with dementia in hospital: the DEMENTIA CARE pointers for service change
Authors: Abbott Rebecca A , Rogers Morwenna , Lourida Ilianna , Green Colin , Ball Susan , Hemsley Anthony , Cheeseman Debbie , Clare Linda , Moore Darren , Hussey Chrissey , Coxon George , Llewellyn David J , Naldrett Tina , Thompson Coon Jo 
Published: September 2022

AbstractApproximately two-thirds of hospital admissions are older adults and almost half of these are likely to have some form of dementia. People with dementia are not only at an increased risk of adverse outcomes once admitted, but the unfamiliar environment and routinised practices of the wards and acute care can be particularly challenging for them, heightening their confusion, agitation and distress further impacting the ability to optimise their care. It is well established that a person-centred care approach helps alleviate some of the unfamiliar stress but how to embed this in the acute-care setting remains a challenge. In this article, we highlight the challenges that have been recognised in this area and put forward a set of evidence-based ‘pointers for service change’ to help organisations in the delivery of person-centred care. The DEMENTIA CARE pointers cover areas of: dementia awareness and understanding, education and training, modelling of person-centred care by clinical leaders, adapting the environment, teamwork (not being alone), taking the time to ‘get to know’, information sharing, access to necessary resources, communication, involving family (ask family), raising the profile of dementia care, and engaging volunteers. The pointers extend previous guidance, by recognising the importance of ward cultures that prioritise dementia care and institutional support that actively seeks to raise the profile of dementia care. The pointers provide a range of simple to more complex actions or areas for hospitals to help implement person-centred care approaches; however, embedding them within the organisational cultures of hospitals is the next challenge.
Non-pharmacologic and pharmacologic treatments for anxiety in long-term care: a systematic review and meta-analysis
Authors: Atchison Kayla , Watt Jennifer A , Ewert Delaney , Toohey Ann M , Ismail Zahinoor , Goodarzi Zahra 
Published: September 2022

Abstract

Background
older adults living in long-term care (LTC) commonly suffer from anxiety symptoms and disorders. We completed a systematic review and meta-analysis to identify efficacious treatments for anxiety symptoms for older adults living in LTC.

Methods
we searched five electronic databases (MEDLINE, Embase, PsycINFO, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials) to identify treatments for anxiety that have been trialled in LTC. Included studies had to be randomised trials, include residents of LTC, and measure anxiety symptoms as an outcome.

Results
the electronic search returned 6,617 articles, 519 were reviewed in full text, and 80 were included in the descriptive synthesis. Limited studies were meta-analysed (n = 10) due to differences in described treatment and comparator conditions. Limited clinically relevant evidence supporting the use of pharmacologic treatments for symptoms of anxiety in LTC was identified. Of the treatments trialled, music compared with usual care (standardised mean difference, SMD: −0.82; 95% confidence interval (CI): −1.31, −0.34), music compared with social interaction (SMD: −0.41; 95% CI: −0.72, −0.10) and massage compared with usual care (SMD: −4.32; 95% CI: −7.44, −1.19) were found to improve anxiety symptoms, however, significant heterogeneity was detected in two comparisons.

Conclusions
a range of non-pharmacologic treatments that improved anxiety symptoms were identified for use in LTC. Although limited evidence exists to support the use of particular treatments, most non-pharmacologic treatments were low-risk interventions that may be readily implemented. Further research is required to assess the treatment effect on residents of LTC with anxiety disorders or clinically relevant symptoms at baseline.
Long-term outcomes of stroke unit care in older stroke patients: a retrospective cohort study
Authors: Geraedts Max , Ebbeler Dijana , Timmesfeld Nina , Kaps Manfred , Berger Klaus , Misselwitz Björn , Günster Christian , Dröge Patrik , Schneider Michael 
Published: September 2022

Abstract

Background
older patients are less frequently treated in stroke units (SUs). Clinicians do not seem convinced that older patients benefit from specialised treatment in SU similarly to younger patients.

Objective
our study aimed to compare older patients’ long-term outcomes with and without SU treatment.

Methods
this study used routinely collected health data of 232,447 patients admitted to hospitals in Germany between 2007 and 2017 who were diagnosed with ischaemic stroke (ICD 10 I63). The sample included 29,885 patients aged ≥90 years. The outcomes analysed were 10-, 30- and 90-day, and 1-, 3- and 5-year mortality and the combinations of death or recurrence, inpatient treatment and increase in long-term care needs. Bivariate chi-square tests and multivariable logistic regression analyses were used, adjusting for the covariates age, sex, co-morbidity, long-term care needs before stroke and socioeconomic status of the patients’ region of origin.

Results
between 2007 and 2017, 57.1% of patients aged &lt;90 years and 49.6% of those aged ≥90 years were treated in a SU. The 1-year mortality rate of ≥90-year-olds was 56.9 and 61.9% with and without SU treatment, respectively. The multivariable-adjusted risk of death in ≥90-year-olds with SU treatment was odds ratio (OR) = 0.67 (95% confidence interval [CI] = 0.62–0.73) 10 days after the initial event and OR = 0.76 (95% CI = 0.71–0.82) 3 years after stroke.

Conclusions
even very old patients with stroke benefit from SU treatment in the short and long term. Therefore, SU treatment should be the norm even in older patients.
OncoPubMiner: a platform for mining oncology publications
Authors: Xu Quan , Liu Yueyue , Hu Jifang , Duan Xiaohong , Song Niuben , Zhou Jiale , Zhai Jincheng , Su Junyan , Liu Siyao , Chen Fan , Zheng Wei , Guo Zhongjia , Li Hexiang , Zhou Qiming , Niu Beifang 
Published: September 2022

AbstractUpdated and expert-quality knowledge bases are fundamental to biomedical research. A knowledge base established with human participation and subject to multiple inspections is needed to support clinical decision making, especially in the growing field of precision oncology. The number of original publications in this field has risen dramatically with the advances in technology and the evolution of in-depth research. Consequently, the issue of how to gather and mine these articles accurately and efficiently now requires close consideration. In this study, we present OncoPubMiner (https://oncopubminer.chosenmedinfo.com), a free and powerful system that combines text mining, data structure customisation, publication search with online reading and project-centred and team-based data collection to form a one-stop ‘keyword in–knowledge out’ oncology publication mining platform. The platform was constructed by integrating all open-access abstracts from PubMed and full-text articles from PubMed Central, and it is updated daily. OncoPubMiner makes obtaining precision oncology knowledge from scientific articles straightforward and will assist researchers in efficiently developing structured knowledge base systems and bring us closer to achieving precision oncology goals.
Quantitative analysis of the GABAergic innervation of the soma and axon initial segment of pyramidal cells in the human and mouse neocortex
Authors: Ostos Sandra , Aparicio Guillermo , Fernaud-Espinosa Isabel , DeFelipe Javier , Muñoz Alberto 
Published: September 2022

AbstractPerisomatic GABAergic innervation in the cerebral cortex is carried out mostly by basket and chandelier cells, which differentially participate in the control of pyramidal cell action potential output and synchronization. These cells establish multiple synapses with the cell body (and proximal dendrites) and the axon initial segment (AIS) of pyramidal neurons, respectively. Using multiple immunofluorescence, confocal microscopy and 3D quantification techniques, we have estimated the number and density of GABAergic boutons on the cell body and AIS of pyramidal neurons located through cortical layers of the human and mouse neocortex. The results revealed, in both species, that there is clear variability across layers regarding the density and number of perisomatic GABAergic boutons. We found a positive linear correlation between the surface area of the soma, or the AIS, and the number of GABAergic terminals in apposition to these 2 neuronal domains. Furthermore, the density of perisomatic GABAergic boutons was higher in the human cortex than in the mouse. These results suggest a selectivity for the GABAergic innervation of the cell body and AIS that might be related to the different functional attributes of the microcircuits in which neurons from different layers are involved in both human and mouse.
Dissecting structural connectivity of the left and right inferior frontal cortex in children who stutter
Authors: Neef Nicole E , Angstadt Mike , Koenraads Simone P C , Chang Soo-Eun 
Published: September 2022

AbstractInferior frontal cortex pars opercularis (IFCop) features a distinct cerebral dominance and vast functional heterogeneity. Left and right IFCop are implicated in developmental stuttering. Weak left IFCop connections and divergent connectivity of hyperactive right IFCop regions have been related to impeded speech. Here, we reanalyzed diffusion magnetic resonance imaging data from 83 children (41 stuttering). We generated connection probability maps of functionally segregated area 44 parcels and calculated hemisphere-wise analyses of variance. Children who stutter showed reduced connectivity of executive, rostral-motor, and caudal-motor corticostriatal projections from the left IFCop. We discuss this finding in the context of tracing studies from the macaque area 44, which leads to the need to reconsider current models of speech motor control. Unlike the left, the right IFCop revealed increased connectivity of the inferior posterior ventral parcel and decreased connectivity of the posterior dorsal parcel with the anterior insula, particularly in stuttering boys. This divergent connectivity pattern in young children adds to the debate on potential core deficits in stuttering and challenges the theory that right hemisphere differences might exclusively indicate compensatory changes that evolve from lifelong exposure. Instead, early right prefrontal connectivity differences may reflect additional brain signatures of aberrant cognition–emotion–action influencing speech motor control.