bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19-induced silent myocarditis and newly developed hypertension in a 3-year-old boy
Authors: Malakan Rad Elaheh , Momtazmanesh Sara 
Published: May 2022

Abstract
Background
COVID-19 myocarditis occurs in 7–28% of patients admitted in the hospital with or without multisystem inflammatory syndrome. It may present as fulminant myocarditis. Dilated cardiomyopathy as a sequela of COVID-19 myocarditis has been reported in the pediatric population. However, to date, no case of silent COVID-19 myocarditis progressing to dilated cardiomyopathy has been reported in children. Furthermore, although newly developed hypertension as a sequela of COVID-19 infection has been reported in adults, there is no report of newly developed COVID-induced hypertension in children. We report a 3-year-old boy with silent COVID-19 myocarditis progressing to dilated cardiomyopathy and newly developed systemic hypertension.

Case presentation
A 3-year-old boy was referred to the emergency department because of respiratory distress. The parents gave a history of SARS-CoV-2 infection in the child 5 months ago that was manifested as fever and cough, for which he was treated as an outpatient. Echocardiographic examination revealed a severe decrease in left ventricular systolic function in favor of dilated cardiomyopathy. Cardiac magnetic resonance imaging established the diagnosis of myocarditis. The patient left ventricular systolic function did not improve after 2 weeks of intravenous inotropic support. Therefore, the child was transferred to another tertiary center with extracorporeal membrane oxygenation and pediatric cardiac transplantation facilities.

Conclusions
COVID-19 can induce silent myocarditis with progression to dilated cardiomyopathy and newly developed systemic hypertension. Thus, a thorough examination of the heart and measurement of blood pressure are mandatory in every child with COVID-19 infection. Cardiac MR is an indispensable tool in the diagnosis, follow-up, and prognostication of COVID-19 myocarditis. Moreover, four-chamber speckle tracking strain imaging showed apical rocking in all the four heart chambers in this child with opposite direction in the failed left ventricle compared with other cardiac chambers. Lastly, the presence of septal flash on M-mode echocardiography, apical rocking and prestretch–rebound stretch patterns on longitudinal strain imaging of the failed left ventricle in this child may be of predictive value for response to cardiac resynchronization therapy.
Biotechnological potentials of halophilic microorganisms and their impact on mankind
Authors: Dutta Bhramar , Bandopadhyay Rajib 
Published: May 2022

Abstract
Background
Halophiles are extremophilic organisms represented by archaea, bacteria and eukaryotes that thrive in hypersaline environment. They apply different osmoadaptation strategies to survive in hostile conditions. Habitat diversity of halophilic microorganisms in hypersaline system provides information pertaining the evolution of life on Earth.

Main body
The microbiome-gut-brain axis interaction contributes greatly to the neurodegenerative diseases. Gut resident halophilic bacteria are used as alternative medication for chronic brain diseases. Halophiles can be used in pharmaceuticals, drug delivery, agriculture, saline waste water treatment, biodegradable plastic production, metal recovery, biofuel energy generation, concrete crack repair and other sectors. Furthermore, versatile biomolecules, mainly enzymes characterized by broad range of pH and thermostability, are suitable candidate for industrial purposes. Reflectance pattern of halophilic archaeal pigment rhodopsin is considered as potential biosignature for Earth-like planets.

Short conclusions
This review represents important osmoadaptation strategies acquired by halophilic archaea and bacteria and their potential biotechnological applications to resolve present day challenges.

Graphical Abstract
Systemic Therapy for Advanced Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer: ASCO Guideline Update
Authors: Giordano Sharon H. , Franzoi Maria Alice B. , Temin Sarah , Anders Carey K. , Chandarlapaty Sarat , Crews Jennie R. , Kirshner Jeffrey J. , Krop Ian E. , Lin Nancy U. , Morikawa Aki , Patt Debra A. , Perlmutter Jane , Ramakrishna Naren , Davidson Nancy E. 
Published: May 2022

PURPOSE To update evidence-based guideline recommendations to practicing oncologists and others on systemic therapy for patients with human epidermal growth factor receptor 2 (HER2)–positive advanced breast cancer. METHODS An Expert Panel conducted a targeted systematic literature review (for both systemic treatment and CNS metastases) and identified 545 articles. Outcomes of interest included efficacy and safety. RESULTS Of the 545 publications identified and reviewed, 14 were identified to form the evidentiary basis for the guideline recommendations. RECOMMENDATIONS HER2-targeted therapy is recommended for patients with HER2-positive advanced breast cancer, except for those with clinical congestive heart failure or significantly compromised left ventricular ejection fraction, who should be evaluated on a case-by-case basis. Trastuzumab, pertuzumab, and taxane for first-line treatment and trastuzumab deruxtecan for second-line treatment are recommended. In the third-line setting, clinicians should offer other HER2-targeted therapy combinations. There is a lack of head-to-head trials; therefore, there is insufficient evidence to recommend one regimen over another. The patient and the clinician should discuss differences in treatment schedule, route, toxicities, etc during the decision-making process. Options include regimens with tucatinib, trastuzumab emtansine, trastuzumab deruxtecan (if either not previously administered), neratinib, lapatinib, chemotherapy, margetuximab, hormonal therapy, and abemaciclib plus trastuzumab plus fulvestrant, and may offer pertuzumab if the patient has not previously received it. Optimal duration of chemotherapy is at least 4-6 months or until maximum response, depending on toxicity and in the absence of progression. HER2-targeted therapy can continue until time of progression or unacceptable toxicities. For patients with HER2-positive and estrogen receptor–positive or progesterone receptor–positive breast cancer, clinicians may recommend either standard first-line therapy or, for selected patients, endocrine therapy plus HER2-targeted therapy or endocrine therapy alone. Additional information is available at www.asco.org/breast-cancer-guidelines .
Management of Advanced Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer and Brain Metastases: ASCO Guideline Update
Authors: Ramakrishna Naren , Anders Carey K. , Lin Nancy U. , Morikawa Aki , Temin Sarah , Chandarlapaty Sarat , Crews Jennie R. , Davidson Nancy E. , Franzoi Maria Alice B. , Kirshner Jeffrey J. , Krop Ian E. , Patt Debra A. , Perlmutter Jane , Giordano Sharon H. 
Published: May 2022

PURPOSE To provide updated evidence- and consensus-based guideline recommendations to practicing oncologists and others on the management of brain metastases for patients with human epidermal growth factor receptor 2 (HER2)–positive advanced breast cancer up to 2021. METHODS An Expert Panel conducted a targeted systematic literature review (for both systemic therapy for non-CNS metastases and for CNS metastases of HER2+ guideline updates) that identified 545 articles. Outcomes of interest included overall survival, progression-free survival, and adverse events. RESULTS Of the 545 publications identified and reviewed, six on systemic therapy were identified to form the evidentiary basis for the systemic therapy for CNS metastases guideline recommendations. RECOMMENDATIONS Patients with brain metastases should receive appropriate local therapy and systemic therapy, if indicated. Local therapies include surgery, whole-brain radiotherapy, and stereotactic radiosurgery. Memantine and hippocampal avoidance should be added to whole-brain radiotherapy when possible. Treatments depend on factors such as patient prognosis, presence of symptoms, resectability, number and size of metastases, prior therapy, and whether metastases are diffuse. Other options include systemic therapy, best supportive care, enrollment onto a clinical trial, and/or palliative care. There are insufficient data to recommend for or against performing routine magnetic resonance imaging to screen for brain metastases; clinicians should have a low threshold for magnetic resonance imaging of the brain because of the high incidence of brain metastases among patients with HER2-positive advanced breast cancer. Additional information is available at www.asco.org/breast-cancer-guidelines .
Constant-roll inflation from a fermionic field
Authors: Shokri Mehdi , Sadeghi Jafar , Reza Setare Mohammad 
Published: May 2022

Abstract
We study the inflationary period driven by a fermionic field which is non-minimally coupled to gravity in the context of the constant-roll approach. We consider the model for a specific form of coupling and perform the corresponding inflationary analysis. By comparing the result with the Planck observations coming from CMB anisotropies, we find the observational constraints on the parameters space of the model and also the predictions of the model. We find that the values of r and n

s
for

are in good agreement with the observations when

and N = 60.
FAIR4Health: Findable, Accessible, Interoperable and Reusable data to foster Health Research
Authors: Alvarez-Romero Celia , Martínez-García Alicia , Sinaci A. Anil , Gencturk Mert , Méndez Eva , Hernández-Pérez Tony , Liperoti Rosa , Angioletti Carmen , Löbe Matthias , Ganapathy Nagarajan , Deserno Thomas M. , Almada Marta , Costa Elisio , Chronaki Catherine , Cangioli Giorgio , Cornet Ronald , Poblador-Plou Beatriz , Carmona-Pírez Jonás , Gimeno-Miguel Antonio , Poncel-Falcó Antonio , Prados-Torres Alexandra , Kovacevic Tomi , Zaric Bojan , Bokan Darijo , Hromis Sanja , Djekic Malbasa Jelena , Rapallo Fernández Carlos , Velázquez Fernández Teresa , Rochat Jessica , Gaudet-Blavignac Christophe , Lovis Christian , Weber Patrick , Quintero Miriam , Perez-Perez Manuel M. , Ashley Kevin , Horton Laurence , Parra Calderón Carlos Luis 
Published: May 2022

Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the publicly funded health research initiatives to make them Findable, Accessible, Interoperable, and Reusable (FAIR). To confirm the feasibility of the FAIR4Health solution, we performed two pathfinder case studies to carry out federated machine learning algorithms on FAIRified datasets from five health research organizations. The case studies demonstrated the potential impact of the developed FAIR4Health solution on health outcomes and social care research. Finally, we promoted the FAIRified data to share and reuse in the European Union Health Research community, defining an effective EU-wide strategy for the use of FAIR principles in health research and preparing the ground for a roadmap for health research institutions. This scientific report presents a general overview of the FAIR4Health solution: from the FAIRification workflow design to translate raw data/metadata to FAIR data/metadata in the health research domain to the FAIR4Health demonstrators’ performance.
Data assimilation with agent-based models using Markov chain sampling
Authors: Tang Daniel , Malleson Nick 
Published: May 2022

Every day, weather forecasting centres around the world make use of noisy, incomplete observations of the atmosphere to update their weather forecasts. This process is known as data assimilation, data fusion or state estimation and is best expressed as Bayesian inference: given a set of observations, some prior beliefs and a model of the target system, what is the probability distribution of some set of unobserved quantities or latent variables at some time, possibly in the future? While data assimilation has developed rapidly in some areas, relatively little progress has been made in performing data assimilation with agent-based models. This has hampered the use of agent-based models to make quantitative claims about real-world systems. Here we present an algorithm that uses Markov-Chain-Monte-Carlo (MCMC) methods to generate samples of the parameters and trajectories of an agent-based model over a window of time given a set of possibly noisy, aggregated and incomplete observations of the system. This can be used as-is, or as part of a data assimilation cycle or sequential-MCMC algorithm. Our algorithm is applicable to time-stepping, agent-based models whose agents have a finite set of states and a finite number of ways of acting on the world. As presented, the algorithm is only practical for agents with a few bytes of internal state although we discuss ways of removing this restriction. We demonstrate the algorithm by performing data assimilation with an agent-based, spatial predator-prey model.
Pedagogical Support of Students’ Vocational Self-Determination Under Conditions of an Advanced Vocational Training Center
Authors: Lysenko V. 
Published: May 2022

The article substantiates the relevance of the idea that career guidance is a significant factor of students’ pedagogical support in a changing labor market and demanding requirements of society and employers for professional's background.
The paper displays the author's approaches to changing priorities, identifying new meanings in the career guidance, focused on a vision of the future, the "professions (occupations) of the future" and the formation of such meta-professional personal qualities that will allow learners and students to become competitive and sought-after specialists on the labor market throughout their lives.
The article describes some particular forms of career guidance performed for learners, students and adults under conditions of an advanced (proactive) professional training center and educational and technological cluster, based on close interaction and cooperation with enterprises and social partners.
Psychiatric manifestations of rheumatic diseases
Authors: Wróblewski Hubert , Chojęta Dariusz , Zimna Aleksandra , Zygmunt Ewelina , Kozłowska Anna , Mierzwa Monika , Wróblewska Kinga 
Published: May 2022

Introduction and purpose of the work: Rheumatic diseases are chronic diseases that cause symptoms in many systems of the human body. Their most common symptoms include pain and symptoms of arthritis, their deformities, fatigue, and malaise. The aim of the article is to present the symptoms and mental disorders occurring in the course of selected rheumatic diseases.
State of knowledge: The psychological symptoms are characteristic of systemic lupus erythematosus. Specified is a form of lupus called NSPLE (neuropsychiatric systemic lupus erythematosus), which includes neuropsychiatric symptoms in the course of systemic lupus erythematosus. Psychiatric symptoms are also present in the course of other rheumatic diseases. Neuropsychiatric symptoms may affect up to 80% of patients with primary Sjogren's syndrome, with 50% to 80% ahead of diagnosis. It has been proven that systemic slcerosis causes microvascular damage, which may cause neuropsychiatric symptoms in the form of mood disorders, anxiety and cognitive disorders. In one study, 59% of patients with fibromyalgia experienced mania, which was more than twice as high as in the control group.
Summary: In the course of all rheumatic diseases presented by us, there are symptoms and mental disorders. They are often mood, cognitive and sleep disturbances. It should be emphasized that the etiology of psychiatric symptoms is multifactorial.
What’s in a Face? An Experiment on Facial Information and Loan-Approval Decision
Authors: Chen Zeyang , Liu Yu-Jane , Meng Juanjuan , Wang Zeng 
Published: May 2022

Facial information is essential in daily life, but relatively little is known about whether seeing a face improves people’s decision quality. This experimental paper studies the loan-approval decisions based on the historical cash-loan data with real repayment outcomes and exogenously varies whether and how a borrower’s facial information is provided. We find that facial information does not improve subjects’ decisions, despite the fact that it can predict repayment behavior in a machine-learning algorithm. This is because subjects have various biases in evaluating facial photos, and they rely excessively on facial information in making the loan-approval decisions. This paper was accepted by Yan Chen, behavioral economics and decision analysis. Funding: J. Meng received financial support from the National Natural Science Foundation of China [Grants 71103003, 71471004, and 71822301]. Supplemental Material: Data files and the online appendix are available at https://doi.org/10.1287/mnsc.2022.4436 .
Network Centralization and Collective Adaptability to a Shifting Environment
Authors: Bernstein Ethan S. , Shore Jesse C. , Jang Alice J. 
Published: May 2022

We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more members of the organization rather than being more equally distributed—interferes with collective problem-solving by obstructing the integration of existing ideas, information, and solutions in the network. We hypothesize that the mechanisms responsible for that poor integration of ideas, information, and solutions would nevertheless prove beneficial for problems requiring adaptation to a shifting environment. We conducted a 1,620-subject randomized online laboratory experiment, testing the effect of seven network structures on problem-solving success. To simulate a shifting environment, we designed a murder mystery task and manipulated when each piece of information could be found: early information encouraged an inferior consensus, requiring a collective shift of solution after more information emerged. We find that when the communication network within an organization is more centralized, it achieves the benefits of connectivity (spread of novel better solutions) without the costs (getting stuck on an existing inferior solution). We also find, however, that these benefits of centralization only materialize in networks with two-way flow of information and not when information only flows from the center of the network outward (as can occur in hierarchical structures or digitally mediated communication). We draw on these findings to reconceptualize theory on the impact of centralization—and how it affects conformity pressure (lock-in) and awareness of diverse ideas (learning)—on collective problem-solving that demands adaptation. History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory. Funding: The authors acknowledge financial support from the Division of Research at the Harvard Business School for making this research possible.
Patient-reported outcome and survival following meniscal allograft transplantation: an international case series
Authors: Barlow Timothy , Coco Vito , Shivji Faiz , Grassi Alberto , Asplin Laura , Thompson Peter , Metcalfe Andrew , Zaffagnini Stefano , Spalding Tim 
Published: May 2022

Aims Meniscal allograft transplantation (MAT) for patients with symptomatic meniscal loss has demonstrated good clinical results and survivorship. Factors that affect both functional outcome and survivorship have been reported in the literature. These are typically single-centre case series with relatively small numbers and conflicting results. Our aim was to describe an international, two-centre case series, and identify factors that affect both functional outcome and survival. Methods We report factors that affect outcome on 526 patients undergoing MAT across two sites (one in the UK and one in Italy). Outcomes of interest were the Knee injury and Osteoarthritis Outcome Score four (KOOS4) at two years and failure rates. We performed multiple regression analysis to examine for factors affecting KOOS, and Cox proportional hazards models for survivorship. Results Our results indicate that baseline KOOS4 score affects functional outcome at two years, but no other included factors were significantly related to functional outcome. The only factor that affected failure rate was the presence of cartilage lesions down to bone on both the femur and tibia, decreasing the five-year survivorship from 95% (95% confidence interval (CI) 91 to 99) to 84% (95% CI 74 to 94). Conclusion To our knowledge, this is the largest international cohort reporting on MAT. Our results indicate that factors such as age, BMI, and cartilage lesions down to bone on both the femur and tibia of the affected compartment should not present barriers to offering MAT. Baseline KOOS4 score and the presence of bone-on-bone arthritis can be used to help counsel patients regarding the expected risks and rewards of surgery. Cite this article: Bone Joint J 2022;104-B(6):657–662.
Electrochemically applied hydroxyapatite on the cementless porous surface of Bi-Metric stems reduces early migration and has a lasting effect
Authors: Knudsen Martin B. , Thillemann Janni K. , Jørgensen Peter B. , Jakobsen Stig S. , Daugaard Henrik , Søballe Kjeld , Stilling Maiken 
Published: May 2022

Aims BoneMaster is a thin electrochemically applied hydroxyapatite (HA) coating for orthopaedic implants that is quickly resorbed during osseointegration. Early stabilization is a surrogacy marker of good survival of femoral stems. The hypothesis of this study was that a BoneMaster coating yields a fast early and lasting fixation of stems. Methods A total of 53 patients were randomized to be treated using Bi-Metric cementless femoral stems with either only a porous titanium plasma-sprayed coating (P group) or a porous titanium plasma-sprayed coating with an additional BoneMaster coating (PBM group). The patients were examined with radiostereometry until five years after surgery. Results At three months, the mean total translation (TT) was 0.95 mm (95% confidence interval (CI) 0.68 to 1.22) in the P group and 0.57 mm (95% CI 0.31 to 0.83) in the PBM group (p = 0.047). From two to five years, the TT increased by a mean of 0.14 mm (95% CI 0.03 to 0.25) more in the P group than in the PBM group (p = 0.021). In osteopenic patients (n = 20), the mean TT after three months was 1.61 mm (95% CI 1.03 to 2.20) in the P group and 0.73 mm (95% CI 0.25 to 1.21) in the PBM group (p = 0.023). After 60 months, the mean TT in osteopenic patients was 1.87 mm (95% CI 1.24 to 2.50) in the P group and 0.82 mm (95% CI 0.30 to 1.33) in the PBM group (p = 0.011). Conclusion There was less early and midterm migration of cementless stems with BoneMaster coating compared with those with only a porous titanium plasma-sprayed coating. Although a BoneMaster coating seems to be important for stem fixation, especially in osteopenic patients, further research is warranted . Cite this article: Bone Joint J 2022;104-B(6):647–656.