bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Enhanced External Counterpulsation on the Vascular State, Indicators of Glycemic Control and Quality of Life in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus
Authors: Slepova O. A. , Lishuta A. S. , Vasiltsova E. Yu. , Privalova E. V. , Belenkov Yu. N. 
Published: July 2022

Aim. To study the effect of enhanced external counterpulsation (EECP) on the functional status, quality of life, structural and functional state of the vascular bed, and markers of glycemic control in patients with coronary artery disease (CAD) and type 2 diabetes mellitus (DM).Material and methods. A pilot prospective randomized study included 30 patients with CAD and DM. Using a random number generator, patients were randomized into 2 groups: EECP (n=15) and a comparison group (n=15). All patients (n=30) received optimal medical therapy (OMT) during 3 months of follow-up. Patients in the EECP group underwent a course of EECP (35 hours, cuff pressure: 220-280 mmHg) during the first 7 weeks of the study. At baseline and after 3 months of follow-up, patients in both groups underwent an assessment of clinical status, quality of life (based on the SF-36 questionnaire), as well as a 6-minute walk test to assess exercise tolerance. The dynamics of fasting glucose, postprandial glucose, insulin resistance index (HOMA-IR) and glycated hemoglobin were assessed. Photoplethysmography and applanation tonometry were performed to assess the state of the vascular bed.Results. In the EECP group, after 3 months, there was a decrease in the frequency of angina attacks and an improvement in the functional class of angina according to the Canadian Cardiovascular Society (CCS) classification. A significant improvement in exercise tolerance was revealed [an increase in the 6-minute walking distance by 51 (35; 65) m, p<0.05], as well as an improvement in the physical and mental components of health according to the SF-36 questionnaire. A positive dynamics was shown in relation to the indicators of the state of both large vessels and the microvasculature (p>0.05), with the exception of the reflection index and the stiffness index (p<0.05). There was also a significant decrease in the HOMA-IR [-9.9% (-26.5; -4.0) vs 7.7% (-7.9; 13.8), p=0.004], as well as in the levels of fasting glucose [-10.5% (-15.8; -4.0) vs -2.7 (-8.3; 5.9), p=0.012] in the EECP group, compared with the OMT group.Conclusion. EECP course therapy in addition to OMT has a positive effect on the functional status and quality of life of patients with CAD and DM. After 3 months of observation, there was noted a positive dynamics of the vascular state, as well as markers of glycemic control, and these changes were more pronounced in the EECP group. The results obtained may indicate the effectiveness of EECP as an add-on treatment for this group of patients.
Physicochemical Parameters of Ultrabasic Magmatic Systems of the Northeastern Siberian Platform (Data on Melt Inclusions in Chromian Spinel)
Authors: Simonov V.A. , Vasil’ev Yu.R. , Kotlyarov A.V. , Nikolenko E.I. , Alifirova T.A. , Sharygin V.V. , Aulbach S. 
Published: July 2022

Abstract
—Experimental studies and analysis of silicate inclusions testify to the magmatic genesis of part of chromian spinel from the Triassic deposits of the northeastern Siberian Platform. The compositions of melt inclusions in the chromian spinel show the participation of alkaline (potassic) magmas in their crystallization. Most data indicate the presence of magmatic systems similar to melts in the Guli ultrabasic massif in the northern Siberian Platform. Studies of the distribution of trace and rare-earth elements in the melt inclusions show the existence of several magmatic systems. These are, first of all, magmas that formed Guli-type ultrabasic massifs and gave rise to meimechites and picrites in the Maimecha–Kotui province. There are also plume-related magmatic systems with kimberlites, lamprophyres, and/or other continental “hot spots”. The composition of the melt inclusions suggests the existence of several types of the primary sources of chromian spinel in the northeastern Siberian Platform, which confirms the earlier data on the heterogeneous composition of the deposits of the diamondiferous Carnian (Upper Triassic) Stage. Applying computer modeling with the well-known COMAGMAT, PETROLOG, and WinPLtb programs as well as the Ol–Sp geothermometers based on the melt inclusions in chromian spinel from the Triassic deposits of the northeastern Siberian Platform, we have determined the P–T conditions of crystallization of minerals in the igneous rocks being the sources of the examined chromites. The temperature of liquidus crystallization of chromian spinel is 1324–1275 ºC. The P–T conditions of formation of olivine and clinopyroxene inclusions in it are estimated at ca. 4.5–4.1 kbar, 1510–1150 ºC and 3.2–1.0 kbar, 1285–1200 ºC, respectively.
A Novel Solution for Network Flexibility Problem in Mobile Multi-hop Tunneling Networks
Authors: Preveze Barbaros 
Published: July 2022

Abstract
Since the network throughput performance is always limited by the currently available technology limits, there are too many number of attempts in the literature to improve the network throughput performance by modifications on the running routing algorithms on the third layer of OSI (open systems interconnection) reference model. Although application of the tunneling on IP networks provide reserved paths for the higher priority packet streams and succeeds in providing faster communication performances, it is also determined in the literature that, the greatest up to date problem of tunneling networks, the flexibility problem, causes the difficulty of keeping the delay at lowest levels in case of instantly changing network conditions when there are congestions or node failures on the network. In this work, an alternative high performance solution, considering the locations of the nodes in addition to their traffic loads, has been proposed for network flexibility problem of mobile multi-hop tunneling networks. And it is shown that, it is succeeded to carry the throughput of the highly loaded traffic network back to 48.6 Mbps from 36.9 Mbps by about 31.7% performance improvement for which we could have improved it from 36.9 Mbps up to 45.9 Mbps by 24.3% using the proposed ACN (Avoid Congested Node) algorithm in our previous work. As a result, we have succeeded in having about 7.4% more improvement on throughput performance with respect to previously proposed ACN algorithm.
Robust Automatic Speech Recognition System for Kannada Speech Sentences in the Presence of Noise
Authors: Swamy Mahadeva 
Published: July 2022

Abstract
An Automatic Speech Recognition system is developed for recognizing the continuous and spontaneous Kannada speech sentences. The language models and acoustic models are constructed using Kaldi toolkit. The speech corpus is developed with the native female and male Kannada speakers and is partioned into training set and testing set. The Performance of the proposed system is analysed and evaluated using the metric Word Error Rate (WER). The Wavelet Packets amalgamated with Mel filter banks are utilized to perform feature vector generation. The proposed hand crafted features perform better than the baseline features such as Perceptual Linear Prediction(PLP), Mel Frequency Cepstral Coefficients(MFCC) interms of Word Error Rate(WER) under both controlled and uncontrolled conditions.
Optimal@NRW - Optimised acute care of nursing home residents using an intersectoral telemedical cooperation network – study protocol for a stepped-wedge trial
Authors: Brücken David , Unterkofler Jenny , Pauge Sophie , Bienzeisler Jonas , Hübel Christian , Zechbauer Sebastian , Rossaint Rolf , Greiner Wolfgang , Aufenberg Birthe , Röhrig Rainer , Bollheimer Cornelius , Brokmann Jörg Christian 
Published: July 2022

Abstract
Background: Increasing life expectancy is associated with a growing number of people living in nursing homes, while the availability of outpatient medical care, especially from family doctors, is stagnating in this sector. Consequently, numerous and often avoidable, low-threshold hospitalizations of nursing home residents are observed. This results in unnecessary use of resources such as emergency services and emergency rooms as well as in potential health risks to the nursing home residents related to hospitalization. This study aims to improve this healthcare gap by implementing an intersectoral telemedicine approach.Methods: 25 nursing homes are participating and provided with telemedical equipment to perform teleconsultations. Additionally, an early warning system and a digital patient record system is implemented. Telephysicians based at RWTH Aachen University Hospital are ready to support the nursing homes around the clock if the family doctor or an emergency service practice is not available in time. Mobile non-physician practice assistants from the telemedicine centre can be dispatched to perform delegable medical activities. General practitioners and the medical emergency practices also have access to the telemedical infrastructure and the non-physician practice assistants.Discussion: Optimal@NRW adds a telemedicine component to standard care – combining elements of outpatient and inpatient health care as well as emergency service practices - to enable timely medical consultation for nursing home residents in case of the development of an acute medical condition. In addition to optimized medical care, the goal is to reduce unnecessary hospital admissions. The intersectoral approach allows for the appropriate use of resources to match the individually needed medical treatment.Trial registration: ClinicalTrials.gov Identifier: NCT04879537. Registered May 10, 2021, https://clinicaltrials.gov/ct2/show/NCT04879537
Making it work: the experiences of delivering a community mental health service during the COVID 19 pandemic
Authors: Burton Leanne , Wall Abbie , Perkins Elizabeth 
Published: July 2022

Abstract
Purpose: The aim of this study was to explore how Community Mental Health Teams (CMHT) staff responded to delivering a service in a crisis. Background: The pandemic forced rapid and innovative change to care delivery. Knowledge about staff experiences may contribute to different approaches to managing staff during future pandemics and could be used in the design and implementation of interventions to support frontline mental health staff working to deliver community services.Methods: A qualitative semi-structured interview approach was adopted. Twenty-one staff from a CMHT in the North West of England, UK were recruited and interviewed remotely. Interviews took place in June and July 2020, three months after the UK entered its first national lockdown.Results: Analysis identified the approaches used by staff, from senior leadership down to those on the frontline, to try to make the service work in difficult circumstances. At every level of the organization staff talked about the challenges and strategies arising from a desire to deliver a service during the pandemic. The data is discussed under four headings; ‘senior trust managers trying to make it work’, ‘individuals making it work’, ‘making it work as a team’; and ‘making it work through working at home’. Clear communication of messages proved key across all areas, to ensure that government guidelines were followed, and that contact with service users and care delivery was directed at keeping people safe.Conclusion: In this study it was clear that the initial response to the pandemic involved the imposition of boundaries on staff by the Trust senior leadership to ensure the most vulnerable service users received a service while staff were kept safe. The data raises questions about how these boundaries were determined and whether the same outcome could have been achieved through involving staff more in the making of decisions about the delivery of services.
Research on setting method of fatigue warning sign on desert expressway based on driver's heart and myoelectric index
Authors: Xingli Jia , Zexuan Jiao , Wenhua Yin , Ye Zhang 
Published: July 2022

Abstract
Through on-the-spot investigation of the Uma Expressway through the Tengger Desert in China, the same road scene as the actual road was built on the uc-win road, driving simulation was performed in the simulation cabin, cardiac and EMG indicators were collected, and fatigue characteristics were analyzed. Simultaneously, several groups of different fatigue warning signs were simulated, and the changes and interaction rules of ECG and EMG indexes were analyzed to obtain the best setting method for the signs. Finally, the rationality of the setting scheme is verified based on the agglomerative hierarchical system cluster analysis method. The results show that during the driving process, both the driver's psychological fatigue and physical fatigue show a significant increase in fluctuations, and the growth trend has four stages, namely stable fluctuation (0-30min), initial fatigue (35-85min), adjustment stage (85-160min), severe fatigue (after 160min), and psychological fatigue is earlier than physiological fatigue, the driver's adjustment effect on physiological fatigue is better than psychological fatigue. In the desert highway with a design speed of 80-100km/h, the fatigue warning signs with black characters on a white background and the interval of 60-80km have the most obvious stimulation effect on driver fatigue.
Radiosensitivity is associated with antitumor immunity in estrogen receptor-negative breast cancer
Authors: Kang Byung-Hee , Jang Bum-Sup , Kim In Ah 
Published: July 2022

Abstract
Purpose: This study evaluated radiosensitivity and the tumor microenvironment (TME) to identify characteristics of breast cancer patients who would benefit most from radiation therapy.Methods: We analyzed 1,903 records from the Molecular Taxonomy of Breast Cancer International Consortium cohort using the radiosensitivity index (RSI) and gene expression deconvolution algorithms, CIBERSORT and xCell, that estimates the TME composition of tumor samples. In this study, patients were stratified according to TME and radiosensitivity. We performed integrative analyses of clinical and immuno-genomic data to characterize molecular features associated with radiosensitivity.Results: Radiosensitivity was significantly associated with activation of antitumor immunity. In contrast, radioresistance was associated with a reactive stromal microenvironment. The immuno-genomic analysis revealed that estrogen receptor (ER) pathway activity was correlated with suppression of antitumor immunity. In ER-negative disease, the best prognosis was shown in the immune-infiltrated and radiosensitive group patients, and the lowest was in the immune-excluded and radioresistant group patients. In ER-positive disease, immune signature and radiosensitivity had no prognostic significance.Conclusions: Taken together, these results suggest that tumor radiosensitivity is associated with activation of antitumor immunity and a better prognosis, particularly in patients with ER-negative breast cancer.
Preventing the Next Pandemic: A Critical Analysis of the Utilization of Artificial Intelligence in the U.S. Healthcare System
Authors: Howington MPH Jabria , Andrade MPH DrPH Elizabeth 
Published: July 2022

Abstract
The outbreak of 2019-nCoV (“COVID-19”) raised major concerns as it spread rapidly around the globe. The impacts are not fully known and cannot be overlooked given the emergence of COVID-19 variants. In response to this ever-changing virus, artificial intelligence (“AI”) has been explored for its capability to combat the pandemic. This critical analysis examines the utility of AI to improve pandemic preparedness and discusses the benefits of AI-based technologies, such as detecting disease outbreaks, mitigating spread, and speeding drug and vaccine development. It also questions whether AI applications could prevent the next pandemic. A literature search was performed using PubMed, MEDLINE, and Scopus, and articles published after January 2020 that discussed AI applications in the U.S. healthcare system were ranked in terms of relevance on a scale of 1-5 according to their degrees of focus. Articles scoring three or higher were included in the final literature review. From a total of forty-one identified articles, twenty-four met the inclusion criteria and twelve were ranked of highest relevance by including discussions on AI models and methods, the strengths and limitations, and promising practice or recommendations.This critical analysis concludes that AI-based technology is successful at improving pandemic preparedness, but challenges and limitations will arise as we continue to invest in AI-based technology; such as over- or under-performance due to imbalanced or incomplete data. Overall, the utilization of AI should aim to improve emergency preparedness strategies, mitigation efforts, and vaccine development, while alleviating the burdens experienced by medical professionals to achieve the best results.
Characterization and population structure assessment of Indian Common bean using Microsatellite Markers
Authors: Bisht Yogita , Sharma Himanshu , Jugran Arun K. 
Published: July 2022

Abstract
The Common bean (Phaseolus vulgaris L.) is an important crop of family Fabaceae which is used as a potential source of proteins, fibres and minerals across the globe. The Indian Himalayan region harbours plentiful varieties of common bean, but it is nearly unexplored till date. The present study was attempted to assess genetic diversity and population structure of 119 common bean samples belonging to 20 diverse accessions gathered from Uttarakhand, India using newly designed chloroplast microsatellite (SSR) markers. A total of 218 polymorphic alleles were identified for 8 SSR loci. Mean number of alleles per locus (Na = 1.55), effective allele number (Ne = 1.370), Shannon information index (I = 0.313), expected heterozygosity (He = 0.213) and average polymorphic loci (10.9) were estimated based on Cp-SSR data. Maximum genetic diversity (He) was recorded in the Jhalla accession where it was found minimum in the accession collected from Supi. Bayesian-based STRUCTURE evaluation using SSR based information showed that 20 bean accessions were genetically separated into two main clusters. Also, the genetic distance-based cluster analysis separated 20 common bean accessions using these markers into 2 major clusters corresponding Mesoamerican and Andean. These Cp-SSR markers also demonstrated transferability among Fabaceae members like Vigna radiata, Macrotyloma uniflorum, Glycine max, Vigna mungo in this study. The findings from the study can be used to select better accessions of the bean for production, conservation, and future breeding programs. Likewise, markers displaying transferability can be used for monitoring the genetic heterogeneity of other members of the family Fabaceae.
Patient Safety Culture As Spaces Of Social Struggle: Understanding patient safety culture within hospital isolation settings. A Qualitative Study.
Authors: Hunt Julian , Gammon John , Williams Sharon , Daniel Sharon , Rees Sue , Matthewson Sian 
Published: July 2022

Abstract
Background: In recent times, infection prevention and patient safety have become a global health policy priority with thought being given to understanding organisational culture within healthcare, and of its significance in initiating sustained quality improvement within infection prevention and patient safety. Research Methods: In this paper, we utilise focus group interviews at two hospital sites within one health board in order to engage nursing staff and other healthcare workers in elaborating on their understandings of infection prevention practices and patient safety culture within isolation settings in their organisation. Results: Positioned against a background of healthcare restructuring and ever increasing uncertainty, our study found two very different hospitals in regard to patient safety culture and infection prevention practice. The utilisation of focus group interviews revealed themes that characterises the ways in which interviewees understand the work they perform and the broader economic and political context in which they perform that work.Conclusions: Drawing on the insights of Bourdieu, this paper theorises the field of patient safety as a space of social struggle. Patient safety is thus positioned within its social and cultural context, rather than as merely an epidemiological dilemma.
Usefulness of Mobile Devices in Learning Within the Clinical Setting for Residents of Surgical Specialties in a Tertiary Care Pediatric Hospital
Authors: Vives-Varela Tania , Alpuche-Hernández Amilcar , Avila-Montiel Diana , Bracho-Blanchet Eduardo 
Published: July 2022

Abstract
Background: Mobile learning refers to the use of mobile or wireless devices for learning purposes while on the move. It is a learning technique that can be applied in multiple contexts through social and content interactions. “Mobile” learners can use it as an educational technology in a variety of settings available at their convenience.In medicine, new technology offers the potential to enhance learning and patient care, although it also poses potential risks, such as superficial learning, failure to understand how to discriminate reliable sources of information, distraction, inappropriate use, and privacy-related issues. The aim of this study is to assess the usefulness of mobile devices for residents in the clinical settings of a hospital.Methods: Mixed method design on pediatric surgery residents. Quantitative data were analyzed via a simple discriminant analysis. Qualitative data were obtained using the focus group technique, with a subsequent triangulation of data.Results: All residents use devices for learning and communication. The triangulation analysis yielded the following categories: agile communication, search for data on drugs and prognosis, consultation of medical applications, limitations of devices, and inconsistencies between the official regulations and their advantages in clinical practice.Conclusions: We demonstrate the usefulness of mobile devices among surgical residents within the clinical care. Every hospital should regulate its policies for better use of devices.
Plasma glial fibrillary acidic protein in autosomal dominant Alzheimer’s disease: associations with β-amyloid-PET, neurodegeneration and cognition
Authors: Chatterjee Pratishtha , Vermunt Lisa , Gordon Brian , Pedrini Steve , Boonkamp Lynn , Armstrong Nicola , Xiong Chengjie , Singh Abhay , Li Yan , Sohrabi Hamid , Taddei Kevin , Molloy Mark , Benzinger Tammie , Morris John , Karch Celeste , Berman Sarah , Chhatwal Jasmeer , Cruchaga Carlos , Graff-Radford Neill , Day Gregory , Farlow Martin , Fox Nick , Goate Alison , Hassenstab Jason , Lee Jae-Hong , Levin Johannes , McDade Eric , Mori Hiroshi , Perrin Richard , Sánchez-Valle Raquel , Schofield Peter , Levey Allan , Jucker Mathias , Masters Colin , Fagan Anne , Bateman Randall , Martins Ralph , Teunissen Charlotte 
Published: July 2022

Abstract
Glial fibrillary acidic protein (GFAP) is a promising candidate blood-based biomarker for Alzheimer’s disease (AD) diagnosis and prognostication. The timing of its disease-associated changes, its clinical correlates, and biofluid-type dependency will influence its clinical utility. We evaluated plasma, serum, and CSF GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. Plasma GFAP elevations appear a decade before expected symptom onset, after β-amyloid accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished β-amyloid-positive from β-amyloid-negative ADAD participants and showed a stronger relationship with β-amyloid load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. Our findings support a role for plasma GFAP as a clinical biomarker for β-amyloid-associated cognitive deterioration in AD.