bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility
Authors: Patel Kush Ketan , Venkatesan Cynthia , Abdelhalim Habiba , Zeeshan Saman , Arima Yuichiro , Linna-Kuosmanen Suvi , Ahmed Zeeshan 
Published: June 2023

AbstractAtrial fibrillation (AF) and heart failure (HF) contribute to about 45% of all cardiovascular disease (CVD) deaths in the USA and around the globe. Due to the complex nature, progression, inherent genetic makeup, and heterogeneity of CVDs, personalized treatments are believed to be critical. To improve the deciphering of CVD mechanisms, we need to deeply investigate well-known and identify novel genes that are responsible for CVD development. With the advancements in sequencing technologies, genomic data have been generated at an unprecedented pace to foster translational research. Correct application of bioinformatics using genomic data holds the potential to reveal the genetic underpinnings of various health conditions. It can help in the identification of causal variants for AF, HF, and other CVDs by moving beyond the one-gene one-disease model through the integration of common and rare variant association, the expressed genome, and characterization of comorbidities and phenotypic traits derived from the clinical information. In this study, we examined and discussed variable genomic approaches investigating genes associated with AF, HF, and other CVDs. We collected, reviewed, and compared high-quality scientific literature published between 2009 and 2022 and accessible through PubMed/NCBI. While selecting relevant literature, we mainly focused on identifying genomic approaches involving the integration of genomic data; analysis of common and rare genetic variants; metadata and phenotypic details; and multi-ethnic studies including individuals from ethnic minorities, and European, Asian, and American ancestries. We found 190 genes associated with AF and 26 genes linked to HF. Seven genes had implications in both AF and HF, which are SYNPO2L, TTN, MTSS1, SCN5A, PITX2, KLHL3, and AGAP5. We listed our conclusion, which include detailed information about genes and SNPs associated with AF and HF.
Flexible hidden Markov models for behaviour-dependent habitat selection
Authors: Klappstein N. J. , Thomas L. , Michelot T. 
Published: June 2023

AbstractBackgroundThere is strong incentive to model behaviour-dependent habitat selection, as this can help delineate critical habitats for important life processes and reduce bias in model parameters. For this purpose, a two-stage modelling approach is often taken: (i) classify behaviours with a hidden Markov model (HMM), and (ii) fit a step selection function (SSF) to each subset of data. However, this approach does not properly account for the uncertainty in behavioural classification, nor does it allow states to depend on habitat selection. An alternative approach is to estimate both state switching and habitat selection in a single, integrated model called an HMM-SSF.MethodsWe build on this recent methodological work to make the HMM-SSF approach more efficient and general. We focus on writing the model as an HMM where the observation process is defined by an SSF, such that well-known inferential methods for HMMs can be used directly for parameter estimation and state classification. We extend the model to include covariates on the HMM transition probabilities, allowing for inferences into the temporal and individual-specific drivers of state switching. We demonstrate the method through an illustrative example of plains zebra (Equus quagga), including state estimation, and simulations to estimate a utilisation distribution.ResultsIn the zebra analysis, we identified two behavioural states, with clearly distinct patterns of movement and habitat selection (“encamped” and “exploratory”). In particular, although the zebra tended to prefer areas higher in grassland across both behavioural states, this selection was much stronger in the fast, directed exploratory state. We also found a clear diel cycle in behaviour, which indicated that zebras were more likely to be exploring in the morning and encamped in the evening.ConclusionsThis method can be used to analyse behaviour-specific habitat selection in a wide range of species and systems. A large suite of statistical extensions and tools developed for HMMs and SSFs can be applied directly to this integrated model, making it a very versatile framework to jointly learn about animal behaviour, habitat selection, and space use.
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin
Authors: Burgueño Antonio Manuel , Aldana-Martín José F. , Vázquez-Pendón María , Barba-González Cristóbal , Jiménez Gómez Yaiza , García Millán Virginia , Navas-Delgado Ismael 
Published: June 2023

AbstractThe production of land cover maps is an everyday use of image classification applications on remote sensing. However, managing Earth observation satellite data for a large region of interest is challenging in the task of creating land cover maps. Since satellite imagery is getting more precise and extensive, Big Data techniques are becoming essential to handle the rising quantity of data. Furthermore, given the complexity of managing and analysing the data, defining a methodology that reduces the complexity of the process into different smaller steps is vital to data processing. This paper presents a Big Data methodology for creating land cover maps employing artificial intelligence algorithms. Machine Learning algorithms are contemplated for remote sensing and geodata classification, supported by explainable artificial intelligence. Furthermore, the process considers aspects related to downloading data from different satellites, Copernicus and ASTER, executing the pre-processing and processing of the data in a distributed environment, and depicting the visualisation of the result. The methodology is validated in a test case for er map of the Mediterranean Basin.
Tuning into Harmut Rosa’s systematic romanticism
Authors: Vandenberghe Frédéric 
Published: June 2023

AbstractThe article reconstructs the intellectual itinerary of the German social theorist Hartmut Rosa. It follows the development of his oeuvre, from his doctoral thesis on Charles Taylor and his book on social acceleration to his more recent work on resonance and responsivity. It shows that throughout the four phases of his career, the social philosophy of Charles Taylor has had a decisive influence on his philosophical anthropology, theory of society and moral sociology. It calls for a new rapprochement between the different generations of critical theory to think through societal pathologies without giving up on the promises of modernity.
The clinical evaluation of Basti along with Rasayana on symptoms of post-COVID-19 syndrome: an open-labeled proof of concept pragmatic study—a study protocol
Authors: Nakanekar Amit , Rathod Payal 
Published: June 2023

Abstract
Background
Post-COVID-19 syndrome is a result of triggering various immune pathways and metabolic disturbances. Basti is an important per rectal Ayurveda-based treatment having multi-targeted actions. Basti and Rasayana treatment modulate immune responses by regulating pro-inflammatory cytokines, immune globulins, and functional properties of T cell. We propose to study the clinical evaluation of Basti along with Rasayana (rejuvenation therapy) on symptoms of post-COVID 19 syndrome.

Methods and analysis
We designed a prospective, open-labeled proof of concept pragmatic study. The study duration is 18 months, and the intervention period are 35 days from the day of enrollment of the patients. The patients will be treated on the basis of Ayurvedic classification of Santarpanottha (over nutrition) symptoms and Apatarpanottha (lack of nutrition) symptoms. The Santarpanottha group will be treated within 3–5 days of oral Guggulu Tiktak Kashayam followed by 8 days of Yog Basti treatment and then 21 days of Rasayana therapy with Brahma Rasayan. The Apatarpanottha group will be treated within 3–5 days of oral Laghumalini Vasant, followed by 8 days of Yog Basti treatment and then 21 days of Kalyanak Ghrit.
The outcome measures of this study will be to evaluate the changes in fatigue severity scale, MMRC dyspnea chest pain scale, pain score assessed by VAS scale, smell and taste scale, WOMAC scale, Hamilton depression scale, Hamilton anxiety scale, Insomnia Severity Index, change in Cough Severity Index, facial aging scale, dizziness scale, Pittsburgh Sleep Severity Quality Index, functional status scale, and heart palpitation scale.
All adverse events will be monitored at each time throughout the study visit time. A total of 24 participants will be recruited to demonstrate with 95% confidence interval and 80% power.

Discussion
Ayurveda treats Santarpanottha (originated from over nutrition) symptoms and Apatarpanottha (symptoms originated from undernutrition) symptoms differently; hence, inspite of the same disease or symptom management, changes depend upon the type of the origin. This pragmatic clinical study is developed on the fundamental grounds of Ayurveda.

Ethics and dissemination
Ethics approval was obtained through the Institutional Ethics Committees of Government Ayurved College and Hospital on 23 July 2021.

Trial registration

The trial is prospectively registered with the Clinical Trial Registry of India on 17 August 2021 [CTRI/2021/08/035732] after the Institutional Ethics Committee approval [GACN/PGS/Synopsis/800/2021 Date 23/7/2021].
Effective approaches to public involvement in care home research: a systematic review and narrative synthesis
Authors: Burgher Tanisha , Shepherd Victoria , Nollett Claire 
Published: June 2023

AbstractBackgroundPublic involvement (often referred to as patient and public involvement or PPI) integrates the voices of the public in health and care research. However, groups such as care home residents are often excluded from involvement opportunities due to the complexities of involving people with additional care and communication needs. Despite a range of approaches being used, there is little understanding about how best to incorporate their experiences, and those of other care home stakeholders, into the design and conduct of research.ObjectiveA systematic review was conducted to identify PPI methods that better meet the specific needs of care home stakeholders. This was undertaken by (1) outlining effective PPI approaches used in care home research and the key stakeholders involved; (2) describing the role of PPI in different care home contexts and (3) identifying stakeholders’ experiences and attitudes towards PPI in care homes.MethodsDatabases CINAHL, Embase, MEDLINE, PsycINFO and Scopus were searched for English language papers from inception to November 2021. A narrative synthesis approach was utilised to organise the extracted data into five themes.ResultsThe search initially yielded 2314 articles (following de-duplication), with 27 meeting the inclusion criteria. Articles reported a range of input from stakeholders (including residents, staff, relatives and community stakeholders), with the impact of PPI varying according to the type of care establishment and research context. The experiences and reflections of stakeholders’ about their involvement in care home research varied, with some studies offering first-hand accounts compared with summaries from researchers. Some articles explicitly evaluated the effectiveness of the PPI approach using specific outcome measures whilst others indirectly described the impact of their approach. Five themes were identified as characterising an effective PPI approach: (1) valuing stakeholders’ perspectives, (2) awareness of the multi-faceted research context, (3) ensuring inclusivity and transparency, (4) maintaining flexibility and adaptability and (5) utilising resources and wider support.ConclusionEffective PPI in care home research requires researchers to create person-centred opportunities to adequately involve groups with physical and cognitive impairments. The findings led to the creation of evidence-based practical recommendations to support future involvement opportunities and help researchers develop strategies for inclusive opportunities for involvement.Systematic Review Registration: The review was prospectively registered on PROPSERO (CRD42021293353).
Rainbow: reliable personally identifiable information retrieval across multi-cloud
Authors: Song Zishuai , Ma Hui , Sun Shuzhou , Xin Yansen , Zhang Rui 
Published: June 2023

AbstractPersonally identifiable information (PII) refers to any information that links to an individual. Sharing PII is extremely useful in public affairs yet hard to implement due to the worries about privacy violations. Building a PII retrieval service over multi-cloud, which is a modern strategy to make services stable where multiple servers are deployed, seems to be a promising solution. However, three major technical challenges remain to be solved. The first is the privacy and access control of PII. In fact, each entry in PII can be shared to different users with different access rights. Hence, flexible and fine-grained access control is needed. Second, a reliable user revocation mechanism is required to ensure that users can be revoked efficiently, even if few cloud servers are compromised or collapse, to avoid data leakage. Third, verifying the correctness of received PII and locating a misbehaved server when wrong data are returned is crucial to guarantee user’s privacy, but challenging to realize. In this paper, we propose Rainbow, a secure and practical PII retrieval scheme to solve the above issues. In particular, we design an important cryptographic tool, called Reliable Outsourced Attribute Based Encryption (ROABE) which provides data privacy, flexible and fine-grained access control, reliable immediate user revocation and verification for multiple servers simultaneously, to support Rainbow. Moreover, we present how to build Rainbow with ROABE and several necessary cloud techniques in real world. To evaluate the performance, we deploy Rainbow on multiple mainstream clouds, namely, AWS, GCP and Microsoft Azure, and experiment in browsers on mobile phones and computers. Both theoretical analysis and experimental results indicate that Rainbow is secure and practical.
Patellar resurfacing and kneeling ability after total knee arthroplasty: a systematic review
Authors: Shah Owais A. , Spence Christopher , Kader Deiary , Clement Nick D. , Asopa Vipin , Sochart David H. 
Published: June 2023

Abstract
Background
Difficulty kneeling following total knee arthroplasty (TKA) remains highly prevalent, and has cultural, social, and occupational implications. With no clear evidence of superiority, whether or not to resurface the patella remains debatable. This systematic review examined whether resurfacing the patella (PR) or not (NPR) influences kneeling ability following TKA.

Methods
This systematic review was conducted by following PRISMA guidelines. Three electronic databases were searched utilizing a search strategy developed with the aid of a department librarian. Study quality was assessed using MINROS criteria. Article screening, methodological quality assessment and data extraction were performed by two independent authors, and a third senior author was consulted if consensus was not reached.

Results
A total of 459 records were identified, with eight studies included in the final analysis, and all deemed to be level III evidence. The average MINORS score was 16.5 for comparative studies and 10.5 for non-comparative studies. The total number of patients was 24,342, with a mean age of 67.6 years. Kneeling ability was predominantly measured as a patient-reported outcome measure (PROM), with two studies also including an objective assessment. Two studies demonstrated a statistically significant link between PR and kneeling, with one demonstrating improved kneeling ability with PR and the other reporting the opposite. Other potential factors associated with kneeling included gender, postoperative flexion, and body mass index (BMI). Re-operation rates were significantly higher in the NPR cohort whereas PR cohorts had higher Feller scores, patient-reported limp and patellar apprehension.

Conclusion
Despite its importance to patients, kneeling remains not only under-reported but also ill-defined in the literature, with no clear consensus regarding the optimum outcome assessment tool. Conflicting evidence remains as to whether PR influences kneeling ability, and to clarify the situation, large prospective randomized studies are required.
Male Sex Is Not a Risk Factor for Prognosis in Postoperative Thyroid Cancer Patients: A Propensity Score Matching Study
Authors: Zhou Yaqian , Wang Yan , Zhang Zhiting , Yin Xue , Liu Jianjun , Zheng Wei 
Published: June 2023

Abstract

Purpose
To study whether male sex is a risk factor for prognosis in patients with differentiated thyroid cancer after 131I treatment using the propensity score matching (PSM) method.

Methods
From April 2016 to October 2021, 1948 postoperative differentiated thyroid cancer patients aged 43 (interquartile range: 34, 54) years who received 131I treatment were retrospectively enrolled and divided into male (n = 645) and female groups (n = 1303). The PSM method was adopted to process all data to reduce the influence of data bias and confounding variables. The Mann-Whitney U test and χ2 test were used for data analysis. Multivariate logistic regression was used to analyze the risk factors affecting prognosis, and the receiver operating characteristic curve was used to analyze the relationship between stimulated thyroglobulin (sTg) level, 131I dose, and poor prognosis.

Results
Before PSM, the proportion of male patients with poor prognosis was significantly higher than that of female patients. After PSM, there was no difference in the proportion of poor prognosis between male and female groups. Multivariate logistic regression analysis showed that male sex; high T stage, N1b stage, and M1 stage; high sTg level; and high 131I dose were risk factors for poor prognosis before PSM. After PSM, high T stage, M1 stage, high sTg level, and 131I dose were still risk factors but male sex was no longer a risk factor for poor prognosis.

Conclusions
After the reduction of selection bias by PSM, male sex was no longer a risk factor for prognosis after 131I treatment of differentiated thyroid cancer. In addition, high T stage (T3 + T4 stage), M1 stage, sTg ≥10.15 ng/mL, and 131I dose ≥260 mCi were risk factors for poor prognosis.
A Direct Comparison of Targeted Muscle Reinnervation and Regenerative Peripheral Nerve Interfaces to Prevent Neuroma Pain
Authors: Senger Jenna-Lynn B. , Hardy Paige , Thorkelsson Aline , Duia Shirley , Hsiao Ralph , Kemp Stephen W. P. , Tenorio Gustavo , Rajshekar Mithun , Kerr Bradley J. , Chan K. Ming , Rabey Karyne N. , Webber Christine A. 
Published: June 2023

BACKGROUND AND OBJECTIVES:
Targeted muscle reinnervation (TMR) and regenerative peripheral nerve interface (RPNI) surgeries manage neuroma pain; however, there remains considerable discord regarding the best treatment strategy. We provide a direct comparison of TMR and RPNI surgery using a rodent model for the treatment of neuroma pain.

METHODS:
The tibial nerve of 36 Fischer rats was transected and secured to the dermis to promote neuroma formation. Pain was assessed using mechanical stimulation at the neuroma site (direct pain) and von Frey analysis at the footpad (to assess tactile allodynia from collateral innervation). Once painful neuromas were detected 6 weeks later, animals were randomized to experimental groups: (a) TMR to the motor branch to biceps femoris, (b) RPNI with an extensor digitorum longus graft, (c) neuroma excision, and (d) neuroma in situ. The TMR/RPNIs were harvested to confirm muscle reinnervation, and the sensory ganglia and nerves were harvested to assess markers of regeneration, pain, and inflammation.

RESULTS:
Ten weeks post-TMR/RPNI surgery, animals had decreased pain scores compared with controls (P < .001) and they both demonstrated neuromuscular junction reinnervation. Compared with neuroma controls, immunohistochemistry showed that sensory neuronal cell bodies of TMR and RPNI showed a decrease in regeneration markers phosphorylated cyclic AMP receptor binding protein and activation transcription factor 3 and pain markers transient receptor potential vanilloid 1 and neuropeptide Y (P < .05). The nerve and dorsal root ganglion maintained elevated Iba-1 expression in all cohorts.

CONCLUSION:
RPNI and TMR improved pain scores after neuroma resection suggesting both may be clinically feasible techniques for improving outcomes for patients with nerve injuries or those undergoing amputation.
Association of elevated IL-6 with poor glycemic control in periodontitis patients
Authors: Kalaivani V. , Kumar Y. Pradeep , Rajapandian K. , Parthasarthy Harinath , Anegundi Raghavendra Vamsi , shqaidef Abedalrahman , Atul Kumar Harshit , Fernandez Alberto Ibanez , VC Divya , Rai B Shivprasad 
Published: June 2023

Background: Interleukin-6 (IL-6) is a proinflammatory cytokine expressed in numerous chronic inflammatory diseases whose ability to alter the pathophysiology and progression of periodontitis is well documented. Further its role in diabetes mellitus by creating an insulin resistance responsible for poor glycemic control is also being evaluated. The aim was to compare the levels of IL-6 in gingival crevicular fluid in periodontitis patients with and without diabetes and to analyze these levels in patients with poor glycemic control (HBA1c), in order to assess its role in the progression of periodontal destruction. Methods: 60 chronic periodontitis patients confirmed with CPITN index of age group 30-70 years were enrolled for the study. GCF samples from 30 patients with diabetes confirmed using HBA1c reports and 30 without diabetes using Cimasoni method were collected and stored at -70degreescelsiusand subjected to ELISA for IL-6 using krishgen human IL-6 ELISA kit as per manufacturer's instruction. Descriptive and inferential statistics were used using SPSS software. Results: While the diabetic group readings ranged from 4.4 Pg/µl to 7.0 Pg/µl with a mean of 5.8pg/µl, the non- diabetic group ranged from 1.5 Pg/µl to 4.8 Pg/µl with a mean value of3.24 pg/µl. There was a prominent increase in the IL-6 levels in diabetic when compared to non- diabetic which was statistically significant with p value < 0.001. Further, among the diabetic groups, patients with poor HBA1c with reading more than 7.7% showed a significant increase in IL-6 levels when compared to below 6.8%. Conclusions: The IL-6 levels in GCF were increased in chronic periodontitis patients with diabetes and more so in patients with poor glycemic control when compared to non-diabetic group. Therefore, periodontitis along with diabetes can play a major role in the inflammatory response within the periodontium.