bluuebunny/crossref_metadata_2025_split huggingface dataset:
Better survival of patients with oligo- compared with polymetastatic cancers: a systematic review and meta-analysis of 173 studies
Authors: Petrelli Fausto , Ghidini Antonio , Ghidini Michele , Bukovec Roberta , Trevisan Francesca , Turati Luca , Indini Alice , Seghezzi Silvia , Lonati Veronica , Moleri Giovanna , Tomasello Gianluca , Zaniboni Alberto 
Published: May 2021

Background: The modern concept of oligometastatic (OM) state has been initially developed to describe patients with a low burden of disease and with a potential for cure with local ablative treatments. We systematically assessed the risk of death and relapse of oligometastatic (OM) cancers compared to cancers with more diffuse metastatic spread, through a meta-analysis of published data. Methods: PubMed, the Cochrane Library, and EMBASE were searched for studies reporting prognosis of patients with OM solid tumors. Risk of death and relapse were extracted and pooled to provide an adjusted hazard ratio with a 95% confidence interval (HR 95%CI). The primary outcome of the study refers to overall mortality in OM vs. polymetastatic (PM) patients. Results. Mortality and relapse associated with OM state in patients with cancer were evaluated among 104,234 participants (n=173 studies). Progression-free survival was better in patients with OM disease (hazard ratio [HR] = 0.62, 95% CI 0.57–0.68; P <.001; n=69 studies). Also, OM cancers were associated with a better OS (HR = 0.65, 95% CI 0.62-0.68; P<.01; n=161 studies). In colorectal (CRC), breast, non-small cell lung cancer (NSCLC) and renal cell carcinoma (RCC) the reduction in the risk of death for OM patients were 35, 38, 30 and 42%, respectively. Conclusions. Patients with oligometastases have a significantly better prognosis than those with more widespread stage IV tumors. We suggest that a treatment strategy that involves bot the primary and the metastases should be identified at the time of diagnosis.
Diffuse Calcinosis from Total Thyroidectomy and Secondary Hypocalcaemia
Authors: Leal Filipa , Nogueira Luís , Teresa Martins Mendes Teresa Martins Mendes , Silva Rocha Ana , Sarmento Dinis , Pombo Francisco , Silva Bárbara 
Published: May 2021

Hypoparathyroidism is a rare endocrine disorder and its main cause is cervical surgery such as thyroidectomy. The incidence of hypoparathyroidism after total thyroidectomy varies, and is reported to be between 0.3 and 6.3%. In terms of brain imaging, hypoparathyroidism can cause calcification mainly of the basal ganglia, with other areas rarely affected. Concerning extracerebral calcification, few studies have investigated the prevalence of visceral calcifications. We describe a case of a woman with secondary hypocalcaemia who presented with a transient ischaemic attack (TIA) and the investigation revealed an extensive calcinosis of the brain and the vascular structures responsible for the event.
Potential impact of COVID-19 related unemployment on increased cardiovascular disease in a high-income country: Modeling health loss, cost and equity
Authors: Nghiem Nhung , Wilson Nick 
Published: May 2021

Background
Cardiovascular disease (CVD) is a leading cause of health loss and health sector economic burdens in high-income countries. Unemployment is associated with increased risk of CVD, and so there is concern that the economic downturn associated with the COVID-19 pandemic will increase the CVD burden.

Aims
This modeling study aimed to quantify potential health loss, health cost burden and health inequities among people with CVD due to additional unemployment caused by COVID-19 pandemic-related economic disruption in one high-income country: New Zealand (NZ).

Methods
We adapted an established and validated multi-state life-table model for CVD in the national NZ population. We modeled indirect effects (ie, higher CVD incidence due to high unemployment rates) for various scenarios of pandemic-related unemployment projections from the NZ Treasury.

Results
We estimated the potential CVD-related heath loss in NZ to range from 23,300 to 36,900 health-adjusted life years (HALYs) for the different unemployment scenarios. Health inequities would be increased with the per capita health loss for Māori (Indigenous population) estimated to be 3.7 times greater than for non-Māori (49.9 vs 13.5 HALYs lost per 1000 people). The estimated additional health system costs ranged between (NZ$303 million [m] to 503m in 2019 values; or US$209m to 346m).

Conclusions and policy implications
Unemployment due to the COVID-19 pandemic could cause significant health loss, increase health inequities from CVD, and impose additional health system costs in this high-income country. Prevention measures should be considered by governments to reduce this risk, including additional job creation programs and measures directed towards the primary prevention of CVD.
Correlation between neonatal hyperbilirubinemia and vitamin D levels: A meta-analysis
Authors: Huang Jiayu , Zhao Qian , Li Jiao , Meng Jinfeng , Li Shangbin , Yan Weichen , Wang Jie , Ren Changjun 
Published: May 2021

Objective
Hyperbilirubinemia is a common disease in the neonatal period, and hyperbilirubinemia may cause brain damage. Therefore, prevention and diagnosis and management of hyperbilirubinemia is very important, and vitamin D may affect bilirubin levels. To evaluate the relationship between neonatal hyperbilirubinemia and vitamin D levels.

Method
The China National Knowledge Infrastructure, VIP, Wanfang, Chinese Biology Medicine Disc, PubMed, Web of Science, Cochrane Library, and Embase databases as well as clinical trial registries in China and the United States were searched for relevant studies from inception to September 2020 without restrictions on language, population, or year. The studies was screened by two reviewers independently, the data were extracted, and the risk of bias of the included studies was evaluated using the NOS. A meta-analysis was conducted on the included studies using Stata11 software.

Results
Six case-control studies were included, and the methodological quality of the studies was high (grade A). The studies included 690 newborns; more than 409 were diagnosed with hyperbilirubinemia. The means and standard deviations were calculated. Meta-analysis results showed that neonatal vitamin D levels were 7.1 ng/ml lower among infants with hyperbilirubinemia than among healthy newborn levels (z = 6.95, 95% CI 9.10 ~ 5.09, P < 0.05). Subgroup analysis was conducted based on whether the bilirubin levels were concentrated in the 15 to 20 mg/dl range. Vitamin D level of infants with hyperbilirubinemia (the bilirubin levels were concentrated in the 15 to 20 mg/dl range) was 9.52 ng/ml (Z = 15.55, 95% CI-10.72~-8.32, P<0.05) lower than that of healthy infants. The bilirubin levels in four cases were not concentrated in the 15–20 mg/dl range. The results showed that the vitamin D level of hyperbilirubinemia (The bilirubin levels were not concentrated in the 15–20 mg/dl range) neonates were 5.35 ng/ml lower than that of healthy neonates (Z = 6.43, 95% CI-6.98~-3.72, P<0.05).

Conclusion
Vitamin D levels were observed to be lower in neonates with hyperbilirubinemia as compared to term neonates without hyperbilirubinemia in this study. This can possibly suggest that neonates with lower vitamin D levels are at higher risk for developing hyperbilirubinemia.
A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
Authors: Villena-Ortiz Yolanda , Giralt Marina , Castellote-Bellés Laura , Lopez-Martínez Rosa M. , Martinez-Sanchez Luisa , García-Fernández Alba Estela , Ferrer-Costa Roser , Rodríguez-Frias Francisco , Casis Ernesto 
Published: May 2021

Abstract

Objectives
The strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-19 severity.

Methods
A descriptive, comparative study of patients with positive vs. negative PCR-RT for SARS-COV-2 and of patients who developed moderate vs. severe COVID-19 was conducted. The model was built based on analytical and demographic data and comorbidities of patients seen in an Emergency Department with symptoms consistent with COVID-19. A logistic regression model was designed from data of the COVID-19-positive cohort.

Results
The sample was composed of 410 COVID-positive patients (303 with moderate disease and 107 with severe disease) and 81 COVID-negative patients. The predictive variables identified included lactate dehydrogenase, C-reactive protein, total proteins, urea, and platelets. Internal calibration showed an area under the ROC curve (AUC) of 0.88 (CI 95%: 0.85–0.92), with a rate of correct classifications of 85.2% for a cut-off value of 0.5. External validation (100 patients) yielded an AUC of 0.79 (95% CI: 0.71–0.89), with a rate of correct classifications of 73%.

Conclusions
The predictive model identifies patients at a higher risk of developing severe COVID-19 at Emergency Department, with a first blood test and common parameters used in a clinical laboratory. This model may be a valuable tool for clinical planning and decision-making.
A collection of easily deployable adversarial traffic sign stickers
Authors: Lengyel Henrietta , Remeli Viktor , Szalay Zsolt 
Published: May 2021

Abstract
The emergence of new autonomous driving systems and functions – in particular, systems that base their decisions on the output of machine learning subsystems responsible for environment perception – brings a significant change in the risks to the safety and security of transportation. These kinds of Advanced Driver Assistance Systems are vulnerable to new types of malicious attacks, and their properties are often not well understood. This paper demonstrates the theoretical and practical possibility of deliberate physical adversarial attacks against deep learning perception systems in general, with a focus on safety-critical driver assistance applications such as traffic sign classification in particular. Our newly developed traffic sign stickers are different from other similar methods insofar that they require no special knowledge or precision in their creation and deployment, thus they present a realistic and severe threat to traffic safety and security. In this paper we preemptively point out the dangers and easily exploitable weaknesses that current and future systems are bound to face.
Influence of the road profile accuracy on disturbance compensation in active suspension systems
Authors: Anhalt Felix , Lohmann Boris 
Published: May 2021

Abstract
By applying disturbance feedforward control in active suspension systems, knowledge of the road profile can be used to increase ride comfort and safety. As the assumed road profile will never match the real one perfectly, we examine the performance of different disturbance compensators under various deteriorations of the assumed road profile using both synthetic and measured profiles and two quarter vehicle models of different complexity. While a generally valid statement on the maximum tolerable deterioration cannot be made, we identify particularly critical factors and derive recommendations for practical use.
Anforderungsbasierter Test für die Validierung komplexer Automatisierungssysteme
Authors: Meinecke Karsten , Land Kathrin , Jumar Ulrich , Vogel-Heuser Birgit , Reider Martin , Ziegltrum Simon 
Published: May 2021

Zusammenfassung
Es wird eine Methode für die Generierung von Spezifikationsmodellen für den modellbasierten Test von mechatronischen Systemen vorgestellt. Diese wird mit Methoden der Testgenerierung sowie -priorisierung verknüpft, um priorisierte Testfälle zu erzeugen, die für den Test mechatronischer Systeme auf Komponenten- oder Systemebene eingesetzt werden können. Ein modular aufgebauter Testadapter ermöglicht die Testausführung für verschiedene Protokolle. Das Ergebnis ist ein effizienter Testprozess, bei dem der Aufwand für die Erstellung erforderlicher Modelle sowie für die Testdurchführung reduziert werden kann. Anhand eines Beispiels aus der industriellen Automation wird die Anwendung der Methode vorgestellt und evaluiert.
Trajectory control of an elastic beam based on port-Hamiltonian numerical models
Authors: Wang Mei , Kotyczka Paul 
Published: May 2021

Abstract
We present a systematic approach to realize the precise observer-based trajectory tracking of the tip of a flexible beam using the energy-based port-Hamiltonian (PH) system representation. The first design steps are the structure-preserving spatial discretization by means of a pseudo-spectral method and the structure-preserving order reduction. The model structure is exploited for inversion-based feedforward control, and the control loop is closed via an observer for the friction torque and the state difference. Experimental results for the reference input and the disturbance response illustrate the quality of the design.
Semi-automated stair climbing of a wheel hub-based patient transportation aid for emergency medical services
Authors: Verjans Mark , Phlippen Lovis , Li Zongshuo , Schleer Philipp , Radermacher Klaus 
Published: May 2021

Abstract
A novel approach for a patient transportation aid for emergency medical services bases on a wheel hub stair-climbing mechanism, which currently requires a manual adjustment relative to the stair edges. In this paper, an approach for an automation is presented which utilizes two distance sensors to characterize stairs and determine the relative position to them. A controller can then adjust the system’s position automatically. A user supervision concept copes with sensor inaccuracies or errors, resulting in a semi-automatic process. Within a formative usability study (

n
=
11

n=11

users) the algorithm was able to reconstruct the stairs and drive the system neither falling down nor colliding with steps. The semi-automatic process reduced climbing time by 59 % and the participants reported a higher subjective usability compared to manual stair climbing.
Applying SEIR model without vaccination for COVID-19 in case of the United States, Russia, the United Kingdom, Brazil, France, and India
Authors: Al-Raeei Marwan , El-Daher Moustafa Sayem , Solieva Oliya 
Published: May 2021

Abstract

Objectives: Compartmental models are helpful tools to simulate and predict the spread of infectious diseases. In this work we use the SEIR model to discuss the spreading of COVID-19 pandemic for countries with the most confirmed cases up to the end of 2020, i.e. the United States, Russia, the United Kingdom, France, Brazil, and India. The simulation considers the susceptible, exposed, infective, and the recovered cases of the disease.

Method: We employ the order Runge–Kutta method to solve the SIER model equations-for modelling and forecasting the spread of the new coronavirus disease. The parameters used in this work are based on the confirmed cases from the real data available for the countries reporting most cases up to December 29, 2020.

Results: We extracted the coefficients of the exposed, infected, recovered and mortality rate of the SEIR model by fitting the collected real data of the new coronavirus disease up to December 29, 2020 in the countries with the most cases. We predict the dates of the peak of the infection and the basic reproduction number for the countries studied here. We foresee COVID-19 peaks in January-February 2021 in Brazil and the United Kingdom, and in February-March 2021 in France, Russia, and India, and in March-April 2021 in the United States. Also, we find that the average value of the SARS-CoV-2 basic reproduction number is 2.1460.

Conclusion: We find that the predicted peak infection of COVID-19 will happen in the first half of 2021 in the six considered countries. The basic SARS-CoV-19 reproduction number values range within 1.0158–3.6642 without vaccination.
Intelligent decision support system approach for predicting the performance of students based on three-level machine learning technique
Authors: Latif Sohaib , XianWen Fang , Wang Li-li 
Published: May 2021

Abstract
In this research work, a user-friendly decision support framework is developed to analyze the behavior of Pakistani students in academics. The purpose of this article is to analyze the performance of the Pakistani students using an intelligent decision support system (DSS) based on the three-level machine learning (ML) technique. The neural network used a three-level classifier approach for the prediction of Pakistani student achievement. A self-recorded dataset of 1,011 respondents of graduate students of English and Physics courses are used. The ten interviews along with ten questions were conducted to determine the perception of the individual student. The chi-squared

(

χ

)

\left(\chi )

test was applied to test statistical significancy of the questionnaire. The statistical calculations and computation of data were performed by using the statistical package of IBMM SPSS version 21.0. The seven different algorithms were tested to improve the data classification. The Java-based environment was used for the development of numerous prediction classifiers. C4.5 algorithm shows the finest accuracy, whereas Naïve Bayes (NB) algorithm shows the least. The results depict that the classifier’s efficiency was improved by using a three-level proposed scheme from 83.2% to 88.8%. This prediction has shown remarkable results when compared with the individual level classifier technique of ML. This improvement in the accuracy of DSSs is used to identify more efficiently the gray areas in the education stratum of Pakistan. This will pave a path for making policies in the higher education system of Pakistan. The presented framework can be deployed on different platforms under numerous operating systems.
Закономерность случайного выбора. Творческий портрет Светланы Коротеевой
Authors: Кожихова Инна Александровна 
Published: May 2021

<p>Предлагаемая статья посвящена исследованию творческого пути доцента кафедры искусства Московского гуманитарного университета, лауреата международных конкурсов, художественного руководителя Детского театра песни «Светофор» Светланы Викторовны Коротеевой. В педагогической деятельности она проявила себя успешным методистом и новатором. Весь ее опыт работы с исполнителями и творческими коллективами систематизирован и структурирован для использования в учебном процессе. Студенты, с которыми занимается Светлана Викторовна, добиваются значительных творческих успехов, покоряют вершины эстрадно-джазового пения.</p>
Clinico-histopathological and ultrasonographic correlation of abnormal uterine bleeding in perimenopausal and postmenopausal women
Authors: . Sharanya , Thomas Julie 
Published: May 2021

Background: Abnormal uterine bleeding (AUB) accounts for one of the most common gynaecological problem, almost one third of total cases. The study was a prospective study done from December 2017 to November 2019. The histopathological reports of endometrial pattern as well as that of hysterectomy specimens were correlated with clinical diagnosis and ultrasonographic findings. The main objective was to study the correlation between clinical, ultrasonographic and histopathological correlation of AUB in perimenopausal, menopausal and postmenopausal women.Methods: Formal Permission was obtained from the administrator of St. Philomena’s hospital. Ethical clearance was obtained from institutional ethical review board of St. Philomena’s hospital. Informed consent was obtained from observational group and confidentiality was assured. Data entry and analyses was done using the Statistical Package for Social Sciences (SPSS) for Windows software (version 20.0; SPSS Inc, Chicago).Results: A total number of 165 cases were studied. Maximum women were in the age group of 40-55 years 87.27%. Most common presentation of abnormal uterine bleeding is menorrhagia which accounts for 72.7% of women (120 women). The most common finding noted in USG was fibroid uterus which accounts for 44.2% of women (73 women). Most commonly observed histological pattern noted were proliferative (62.4%) followed by secretory endometrium (8.5%) and simple endometrial hyperplasia with atypia (8.5%).Conclusions: In conclusion, AUB is one of the most common condition for which patients seek advice in the gynaecological outpatient department. Analysis of histopathology of endometrium in abnormal uterine bleeding helps in management of patients and to know the pathological incidence of structural causes in AUB prior to surgery.
Stump tumors: clinical, histological and therapeutic aspects a case report
Authors: Moustaide Houda , Ziane Doha , Bzioui Ilias , Benkirane Saad 
Published: May 2021

Smooth uterine muscle tumor of uncertain malignant potential (STUMP) belongs to a unique entity that is rare and known by its complexity. Histology is the gold standard for the diagnosis. The aim of the study was to expose the latest researches in the field, about the clinical and radiological aspects to find a way to recognize these tumors way before surgery in order to discuss the best therapeutic strategy, by way of a clinical case report.
Changes in 24-Hour Physical Activity Patterns and Walking Gait Biomechanics After Primary Total Hip Arthroplasty
Authors: Bahl Jasvir S. , Millar Stuart C. , Fraysse François , Arnold John B. , Taylor Mark , Callary Stuart , Solomon Lucian B. , Thewlis Dominic 
Published: May 2021

Update
This article was updated on July 19, 2021, because of a previous error. On page 1172, in the Results section entitled “Sedentary Activity,” the sentence that had read “Postoperatively, 32% at 1 year and 14% at 2 years were sedentary for >11 hours per day.” now reads “Postoperatively, 32% at 1 year and 41% at 2 years were sedentary for >11 hours per day.”

Background:
Despite marked improvements in self-reported pain, perceived functional ability, and gait function following primary total hip arthroplasty (THA), it remains unclear whether these improvements translate into improved physical activity and sleep behaviors. The aim of this study was to determine the change in 24-hour activity profile (waking activities and sleep) and laboratory-based gait function from preoperatively to 2 years following the THA.

Methods:
Fifty-one patients undergoing primary THA at a single public hospital were recruited. All THAs were performed using a posterior surgical approach with the same prosthesis type. A wrist-worn accelerometer was used to capture 24-hour activity profiles preoperatively and at 1 and 2 years postoperatively. Three-dimensional gait analysis was performed to determine changes in temporospatial and kinematic parameters of the hip and pelvis.

Results:
Patients showed improvements in all temporospatial and kinematic parameters with time. Preoperatively, patients were sedentary or asleep for a mean time (and standard deviation) of 19.5 ± 2.2 hours per day. This remained unchanged up to 2 years postoperatively (19.6 ± 1.3 hours per day). Sleep efficiency remained suboptimal (<85%) at all time points and was worse at 2 years (77% ± 10%) compared with preoperatively (84% ± 5%). More than one-quarter of the sample were sedentary for >11 hours per day at 1 year (32%) and 2 years (41%), which was greater than the preoperative percentage (21%). Patients accumulated their activity performing light activities; however, patients performed less light activity at 2 years compared with preoperative levels. No significant differences (p = 0.935) were observed for moderate or vigorous activity across time.

Conclusions:
Together with improvements in self-reported pain and perceived physical function, patients had significantly improved gait function postoperatively. However, despite the opportunity for patients to be more physically active postoperatively, patients were more sedentary, slept worse, and performed less physical activity at 2 years compared with preoperative levels.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.