bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cell therapy in patients with COVID-19 using Wharton’s jelly mesenchymal stem cells: a phase 1 clinical trial
Authors: Saleh Mahshid , Vaezi Amir Abbas , Aliannejad Rasoul , Sohrabpour Amir Ali , Kiaei Seyedeh Zahra Fotook , Shadnoush Mahdi , Siavashi Vahid , Aghaghazvini Leila , Khoundabi Batoul , Abdoli Shahriyar , Chahardouli Bahram , Seyhoun Iman , Alijani Neda , Verdi Javad 
Published: July 2021

Abstract
Background
Mesenchymal stem cells (MSCs) have received particular attention because of their ability to modulate the immune system and inhibit inflammation caused by cytokine storms due to SARS-CoV-2. New alternative therapies may reduce mortality rates in patients with COVID19. This study aimed to assess the safety and efficacy of injecting intravenous Wharton’s jelly-derived MSCs in patients with COVID-19 as a treatment.

Methods
In this study, five patients with severe COVID-19 were treated with Wharton’s jelly-derived mesenchymal stem cells (150 × 106 cells per injection). These patients were subject to three intravenous injections 3 days apart, and monitoring was done on days 0, 3, 6, and 14 in routine tests, inflammatory cytokines, and flow cytometry of CD4 and CD8 markers. A lung CT scan was performed on base and days 14 and 28. In addition, IgM and IgG antibodies against SARS-CoV-2 were measured before and after treatment.

Results
The results showed that IL-10 and SDF-1 increased after cell therapy, but VEGF, TGF-β, IFN-γ, IL-6, and TNFα decreased. Routine hematology tests, myocardial enzyme tests, biochemical tests, and inflammation tests were performed for all patients before and after cell therapy on base and days 3, 6, and 14, which indicated the improvement of test results over time. COVID-19 antibody tests rose in 14 days after WJ-MSC injection. The total score of zonal involvement in both lungs was improved.

Conclusions
In patients, the trend of tests was generally improving, and we experienced a reduction in inflammation. No serious complications were observed in patients except the headache in one of them, which was resolved without medication. In this study, we found that patients with severe COVID-19 in the inflammatory phase respond better to cell therapy. More extensive clinical trials should be performed in this regard.

Trial registration
IRCT, IRCT20190717044241N2. Registered April 22, 2020.
Optimal measurement budget allocation for Kalman prediction over a finite time horizon by genetic algorithms
Authors: Aspeel Antoine , Legay Axel , Jungers Raphaël M. , Macq Benoit 
Published: July 2021

AbstractIn this paper, we address the problem of optimal measurement budget allocation to estimate the state of a linear discrete-time dynamical system over a finite horizon. More precisely, our aim is to select the measurement times in order to minimize the variance of the estimation error over a finite horizon. In addition, we investigate the closely related problem of finding a trade-off between number of measurements and signal to noise ratio.First, the optimal measurement budget allocation problem is reduced to a deterministic combinatorial program. Then, we propose a genetic algorithm implementing a count preserving crossover to solve it. On the theoretical side, we provide a one-dimensional analysis that indicates that the benefit of using irregular measurements grows when the system is unstable or when the process noise becomes important. Then, using the duality between estimation and control, we show that the problem of selecting optimal control times for a linear quadratic regulator can be reduced to our initial problem.Finally, numerical implementations demonstrate that using measurement times optimized by our genetic algorithm gives better estimate than regularly spaced measurements. Our method is applied to a discrete version of a continuous-time system and the impact of the discretization time step is studied. It reveals good convergence properties, showing that our method is well suited to both continuous-time and discrete-time setups.
Secure and efficient transmission of data based on Caesar Cipher Algorithm for Sybil attack in IoT
Authors: Thuluva Aditya Sai Srinivas , Somanathan Manivannan Sorakaya , Somula Ramasubbareddy , Sennan Sankar , Burgos Daniel 
Published: July 2021

AbstractThe Internet of Things (IoT) is an emerging concept in the field of information technology. IoT can integrate any real-time entity with another, using sensing, computing and communication capabilities to offer enhanced services in everyday life. In this article, IoT-based patient health monitoring is considered for use in IoT sensors deployed in devices. These devices are attached to the body of the patient for timely tracking of his or her health condition. During data transfers from devices connected to the patient’s body to the doctor, the data may be susceptible to security threats. IoT devices are subjected to many routing attacks, like blackhole, greyhole, Sybil, sinkhole and wormhole attacks. Sybil attacks are the most dangerous routing attacks. This type of attack involves stealing the identities of legitimate nodes; this, in turn, leads to information loss, misinterpretation in the network and an increase in routing disturbances. Hence, in this paper, we propose the use of the traditional Caesar Cipher Algorithm (CCA) along with the lightweight encryption algorithm (LEA) and the Received Signal Strength Indicator (RSSI) to detect and prevent Sybil attacks in an IoT environment. The proposed algorithm detects the false node in a particular path by announcing the attack to another node. It also prevents the attack by choosing an alternative path by which to forward data packets to the desired users. To ensure authentication, privacy and data integrity, the lightweight encryption algorithm with a 64-bit key is used with AODV as the routing protocol.
An SEIR model with infected immigrants and recovered emigrants
Authors: Witbooi Peter J. 
Published: July 2021

AbstractWe present a deterministic SEIR model of the said form. The population in point can be considered as consisting of a local population together with a migrant subpopulation. The migrants come into the local population for a short stay. In particular, the model allows for a constant inflow of individuals into different classes and constant outflow of individuals from the R-class. The system of ordinary differential equations has positive solutions and the infected classes remain above specified threshold levels. The equilibrium points are shown to be asymptotically stable. The utility of the model is demonstrated by way of an application to measles.
Language training for oral and written naming impairment in primary progressive aphasia: a review
Authors: Pagnoni Ilaria , Gobbi Elena , Premi Enrico , Borroni Barbara , Binetti Giuliano , Cotelli Maria , Manenti Rosa 
Published: July 2021

Abstract
Background
Primary progressive aphasia (PPA) is a neurodegenerative disorder characterized by a gradual, insidious and progressive loss of language abilities, with naming difficulties being an early and persistent impairment common to all three variants. In the absence of effective pharmacological treatments and given the progressive nature of the disorder, in the past few decades, many studies have investigated the effectiveness of language training to minimize the functional impact of word-finding difficulties in daily life.

Main body
We review language treatments most commonly used in clinical practice among patients with different variants of PPA, with a focus on the enhancement of spoken and written naming abilities. Generalization of gains to the ability to name untrained stimuli or to other language abilities and the maintenance of these results over time are also discussed. Forty-eight studies were included in this literature review, identifying four main types of language treatment: a) lexical retrieval treatment, b) phonological and/or orthographic treatment, c) semantic treatment, and d) a multimodality approach treatment. Overall, language training is able to induce immediate improvements of naming abilities in all variants of PPA. Moreover, despite the large variability among results, generalization and long-term effects can be recorded after the training. The reviewed studies also suggest that one factor that determines the choice of a particular approach is the compromised components of the lexical/semantic processing system.

Conclusion
The majority of studies have demonstrated improvements of naming abilities following language treatments. Given the progressive nature of PPA, it is essential to apply language treatment in the early stages of the disease.
Toward a behavioral approach of international shipping: a study of the inter-organisational dynamics of maritime safety
Authors: Fulconis François , Lissillour Raphael 
Published: July 2021

AbstractClassification societies play a major role in maritime safety and the regulation of the international shipping market. They have a dual mission, namely the classification and certification of ships. Paradoxically, the academic literature on the strategic behaviour of classification societies remains very limited. More often than not, the scope of prior research has been limited to the definition of their missions in the shipping ecosystem with an emphasis on their changing legitimacy as maritime accidents occur. Consequently, this paper aims at providing a better understanding of the specific role of classification societies in maritime safety and within the inter-organisational dynamics of international shipping. The study is based on a conceptual framework provided by the behaviourist approach and applied to the inter-organisational dynamics of supply chains. This approach enables in-depth analysis of actors’ strategic behaviours by focusing on four dimensions: power, leadership, conflict and cooperation. The main results highlight the increasingly central and paradoxical role of classification societies. This role encompasses, on the national level, classification and certification processes, and, on the supranational level, the creation of new rules and regulations. The study highlights the importance of their ability to master the official framework and institutional vocabulary, which enable them to strengthen their power and leadership in the shipping market. This capacity helps them to limit conflicts between actors and to encourage certain cooperative behaviours based on relationships of dependence and inter-organisational interdependence.
CLeaR: An adaptive continual learning framework for regression tasks
Authors: He Yujiang , Sick Bernhard 
Published: July 2021

AbstractCatastrophic forgetting means that a trained neural network model gradually forgets the previously learned tasks when being retrained on new tasks. Overcoming the forgetting problem is a major problem in machine learning. Numerous continual learning algorithms are very successful in incremental learning of classification tasks, where new samples with their labels appear frequently. However, there is currently no research that addresses the catastrophic forgetting problem in regression tasks as far as we know. This problem has emerged as one of the primary constraints in some applications, such as renewable energy forecasts. This article clarifies problem-related definitions and proposes a new methodological framework that can forecast targets and update itself by means of continual learning. The framework consists of forecasting neural networks and buffers, which store newly collected data from a non-stationary data stream in an application. The changed probability distribution of the data stream, which the framework has identified, will be learned sequentially. The framework is called CLeaR (ContinualLearning forRegression Tasks), where components can be flexibly customized for a specific application scenario. We design two sets of experiments to evaluate the CLeaR framework concerning fitting error (training), prediction error (test), and forgetting ratio. The first one is based on an artificial time series to explore how hyperparameters affect the CLeaR framework. The second one is designed with data collected from European wind farms to evaluate the CLeaR framework’s performance in a real-world application. The experimental results demonstrate that the CLeaR framework can continually acquire knowledge in the data stream and improve the prediction accuracy. The article concludes with further research issues arising from requirements to extend the framework.
Identification of theTP53p.R337H Variant in Tumor Genomic Profiling Should Prompt Consideration of Germline Testing for Li-Fraumeni Syndrome
Authors: Sandoval Renata Lazari , Masotti Cibele , de Macedo Mariana Petaccia , Ribeiro Maurício Fernando Silva Almeida , Leite Ana Carolina Rathsam , Meireles Sibele Inacio , Bovolin Rodrigo Medeiros , Santini Fernando Costa , Munhoz Rodrigo Ramella , Jardim Denis Leonardo Fontes , Katz Artur , Camargo Anamaria Aranha , Fernandes Gustavo dos Santos , Achatz Maria Isabel 
Published: July 2021

PURPOSELi-Fraumeni syndrome (LFS) is rare in the worldwide population, but it is highly prevalent in the Brazilian population because of a founder mutation, TP53 p.R337H, accounting for 0.3% of south and southeastern population. Clinical criteria for LFS may not identify all individuals at risk of carrying the Brazilian founder mutation because of its lower penetrance and variable expressivity. This variant is rarely described in databases of somatic mutations. Somatic findings in tumor molecular profiling may give insight to identify individuals who might be carriers of LFS and allow the adoption of risk reduction strategies for cancer.MATERIALS AND METHODSWe determined the frequency of the TP53 p.R337H variant in tumor genomic profiling from 755 consecutive Brazilian patients with pan-cancer. This is a retrospective cohort from January 2013 to March 2020 at a tertiary care center in Brazil.RESULTSThe TP53 p.R337H variant was found in 2% (15 of 755) of the samples. The mutation allele frequency ranged from 30% to 91.7%. A total of seven patients were referred for genetic counseling and germline testing after tumor genomic profiling results were disclosed. All the patients who proceeded with germline testing (6 of 6) confirmed the diagnosis of LFS. Family history was available in 12 cases. Nine patients (9 of 12) did not meet LFS clinical criteria.CONCLUSIONThe identification of the TP53 p.R337H variant in tumor genomic profiling should be a predictive finding of LFS in the Brazilian population and should prompt testing for germline status confirmation.
Endocrine Disrupting Chemicals and Risk of Testicular Cancer: A Systematic Review and Meta-analysis
Authors: Bräuner Elvira V , Lim Youn-Hee , Koch Trine , Uldbjerg Cecilie S , Gregersen Laura S , Pedersen Marc K , Frederiksen Hanne , Petersen Jørgen H , Coull Brent A , Andersson Anna-Maria , Hickey Martha , Skakkebæk Niels E , Hauser Russ , Juul Anders 
Published: July 2021

AbstractThe incidence of many hormone-dependent diseases, including testicular cancer, has sharply increased in all high-income countries during the 20th century. This is not fully explained by established risk factors. Concurrent, increasing exposure to antiandrogenic environmental endocrine disrupting chemicals (EDCs) in fetal life may partially explain this trend. This systematic review assessed available evidence regarding the association between environmental EDC exposure and risk of testicular cancer (seminomas and nonseminomas). Following PRISMA guidelines, a search of English peer-reviewed literature published prior to December 14, 2020 in the databases PubMed and Embase® was performed. Among the 279 identified records, 19 were eligible for quality assessment and 10 for further meta-analysis. The completeness of reporting was high across papers, but over 50% were considered subject to potential risk of bias. Mean age at diagnosis was 31.9 years. None considered effects of EDC multipollutant mixtures. The meta-analyses showed that maternal exposure to combined EDCs was associated with a higher risk of testicular cancer in male offspring [summary risk ratios: 2.16, (95% CI:1.78-2.62), 1.93 (95% CI:1.49-2.48), and 2.78 (95% CI:2.27-3.41) for all, seminoma, and nonseminoma, respectively]. Similarly, high maternal exposures to grouped organochlorines and organohalogens were associated with higher risk of seminoma and nonseminoma in the offspring. Summary estimates related to postnatal adult male EDC exposures were inconsistent. Maternal, but not postnatal adult male, EDC exposures were consistently associated with a higher risk of testicular cancer, particularly risk of nonseminomas. However, the quality of studies was mixed, and considering the fields complexity, more prospective studies of prenatal EDC multipollutant mixture exposures and testicular cancer are needed.
STAU2 binds a complex RNA cargo that changes temporally with production of diverse intermediate progenitor cells during mouse corticogenesis
Authors: Chowdhury Rebecca , Wang Yue , Campbell Melissa , Goderie Susan K. , Doyle Francis , Tenenbaum Scott A. , Kusek Gretchen , Kiehl Thomas R. , Ansari Suraiya A. , Boles Nathan C. , Temple Sally 
Published: July 2021

ABSTRACTSTAU2 is a double-stranded RNA-binding protein enriched in the nervous system. During asymmetric divisions in the developing mouse cortex, STAU2 preferentially distributes into the intermediate progenitor cell (IPC), delivering RNA molecules that can impact IPC behavior. Corticogenesis occurs on a precise time schedule, raising the hypothesis that the cargo STAU2 delivers into IPCs changes over time. To test this, we combine RNA-immunoprecipitation with sequencing (RIP-seq) over four stages of mouse cortical development, generating a comprehensive cargo profile for STAU2. A subset of the cargo was ‘stable’, present at all stages, and involved in chromosome organization, macromolecule localization, translation and DNA repair. Another subset was ‘dynamic’, changing with cortical stage, and involved in neurogenesis, cell projection organization, neurite outgrowth, and included cortical layer markers. Notably, the dynamic STAU2 cargo included determinants of IPC versus neuronal fates and genes contributing to abnormal corticogenesis. Knockdown of one STAU2 target, Taf13, previously linked to microcephaly and impaired myelination, reduced oligodendrogenesis in vitro. We conclude that STAU2 contributes to the timing of corticogenesis by binding and delivering complex and temporally regulated RNA cargo into IPCs.
A large-scale image dataset of wood surface defects for automated vision-based quality control processes
Authors: Kodytek Pavel , Bodzas Alexandra , Bilik Petr 
Published: July 2021

The wood industry is facing many challenges. The high variability of raw material and the complexity of manufacturing processes results in a wide range of visible structure defects, which have to be controlled by trained specialists. These manual processes are not only tedious and biased, but also less effective. To overcome the drawbacks of the manual quality control processes, several automated vision-based systems have been proposed. Even though some conducted studies achieved a higher recognition rate than trained experts, researchers have to deal with a lack of large-scale databases and authentic data in this field. To address this issue, we performed a data acquisition experiment set in the industrial environment, where we were able to acquire an extensive set of authentic data from a production line. For this purpose, we designed and implemented a complex technical solution suitable for high-speed acquisition during harsh manufacturing conditions. In this data note, we present a large-scale dataset of high-resolution sawn timber surface images containing more than 43 000 labelled surface defects and covering 10 types of the most common wood defects. Moreover, with each image record, we provide two types of labels allowing researchers to perform semantic segmentation, as well as defect classification, and localization.
Collaborative Operations of Hospitality Industry during COVID-19 Lockdown and Strategic Approach with reference to Bangalore, India
Authors: Jamgade Sweety , Mathew Abby 
Published: July 2021

The pandemic attack of Coronavirus had lurch the entire world to massive crisis of human illness, fatality, insecurity in family, business instability, and downfall of the economy resulting into huge number of job loss and pay cuts. The inadvertent consequences of COVID-19 started showing its effect since end of December 2019 and were observed in India predominantly by the end of February 2020 onwards. The focus of the study was to find the COVID-19 impact on hospitality industry in India before and during the first lockdown and its collaborative operations with special reference to Bangalore. The methodology incorporated in the study was the descriptive approach through the qualitative method and the purposive sampling technique was utilised. It is evident that the hospitality industries is the hardest hit, as the tourists’ travel and stay plunged to an average of -60% change of occupancy data compared to the same period in 2019 in India according to the STR reports. Due to this VUCA (Volatility, Uncertainty, Complexity and Ambiguity) environment the hospitality industry has initiated some of the collaborative operations to render their services to the society and generously assisting the government bodies. It is observed that the strategic collaborative frameworks can reduce the industry jolts during such disasters.
The stress of the SARS-CoV-2 virus pandemic and pro-health behaviors among medical personnel - preliminary report
Authors: Badura Brzoza Karina , Bułdak Rafał , Dębski Paweł , Kasperczyk Sławomir , Woźniak-Grygiel Elzbieta , Konka Adam , Gawrylak-Dryja Ewa , Mond-Paszek Renata , Markiel Marcin , Gabryś Daniel , Brzoza Zenon 
Published: July 2021

Cel pracyCelem pracy była ocena zachowań prozdrowotnych jako działań ochronnych przed objawami lęku i depresji w grupie pracowników służby zdrowia, w okresie pierwszej fali pandemii wirusa SARS-CoV-2.MetodaW badanu udział wzięło 114 osób, w tym 46 lekarzy w wieku 41,10±11,89 lat i 68 pielęgniarek w wieku 48,16±8,54 lat.
Metody: Do badań użyto: Inwentarza Zachowań Zdrowotnych (IZZ), Inwentarza Objawów Depresyjnych (BDI) oraz Inwentarza Stanu i Cechy Lęku (STAI).WynikiW grupie badanej w IZZ otrzymano średni wynik 79,61±13,08 pkt. W kwestionariuszu BDI badani uzyskali średnio 3,7±4,65pkt. W kwestionariuszu STAI, w części dotyczącej lęku-stanu wynik średni w grupie badanej wynosił 38,08±9,46 pkt., a w odniesieniu do lęku-cechy 38,35±8,44pkt. Biorąc pod uwagę składowe IZZ jedynie wyniki uzyskane w podskalach: pozytywne nastawienie psychiczne (PNP) oraz praktyki zdrowotne (PZ) korelowały ujemnie z wynikami uzyskanymi w skalach STAI i BDI. Ponadto wykazano prozdrowotny wpływ PNP na objawy lęku i depresji.WnioskiNie zaobserwowano znacznego nasilenia objawów lękowych i depresyjnych wśród personelu medycznego w okresie pierwszej fali pandemii. Zachowania prozdrowotne, a zwłaszcza pozytywne nastawienia psychiczne mogą pełnić ochronna funkcję w odniesieniu do objawów lęku i depresji w sytuacji stresowej.
L-band compact Q-switched fiber laser based on a thulium-doped fiber saturable absorber
Authors: Xu Chaoyu , Huang Tianye , Wu Zhichao , Han Lei , Zhang Jing , Wang Dianhong 
Published: July 2021

In this paper, a compact and stable Q-switched erbium-doped fiber laser operating at around 1600 nm by employing a segment of 1-cm thulium-doped fiber saturable absorber (TDF-SA) is proposed. When the pump power is adjusted between 28 and 71 mW, the Q-switched operation can be maintained stably, and the output power increases from 74 µW to 2.6 mW. Furthermore, the peak power clamping effect is also observed when the pump power exceeds 60 mW. The structure of the cavity is greatly simplified by using all-optical and hybrid fiber components, which contributes to its long-term stability. Our results prove that the TDF can be a promising SA for all-fiber Q-switched pulses generation in the L-band.