Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence and Clinical Features of Acute Promyelocytic Leukemia In a Population-Based Canadian Cohort

Abstract 4374 Introduction: Acute promyelocytic leukemia (APL) is a rare malignancy whose causes and epidemiology are not well known. The incidence of APL in the United States was estimated to be 0.22 cases per 100,000 population, and a higher incidence has been suggested in specific geographic or ethnic sub-groups. However, clinical and epidemiological data on APL arise primarily from clinical trials and single centre experiences rather than population-based data, which may lead to selection bias. We studied a cohort of APL cases in a well defined population using the diagnostic gold standard of polymerase chain reaction (PCR) testing. Methods: The Canadian province of Manitoba, with a population of 1.2 million, has a single referral centre for the definitive diagnosis and clinical care of all acute leukemia patients. Only one laboratory is capable of performing PCR based testing for the PML-RARA fusion gene product. We examined consecutively diagnosed patients with APL based on PCR testing from January 1999 until July 31 2010 in order to determine the incidence, clinical characteristics, and outcomes of patients with APL. Results: Over the 11.5 year period of observation, 24 patients were diagnosed with APL. Based on the 2006 Canadian census, the annual incidence of APL in Manitoba is thus 0.18/100,000 population. These cases did not appear to be distributed evenly, with an average of 1.1 cases diagnosed annually between 2002 and 2008 compared to six cases diagnosed in the most recent period between 2009 and 2010 (relative to 2002–2008, incident rate ratio (IRR) 2.61, p = 0.075) and ten cases diagnosed between 1999 and 2001 (IRR 2.94, p = 0.023). Symptomatic CNS disease at diagnosis was present in 3 (12.5%) patients. Thirteen patients developed differentiation syndrome during the course of their therapy (54.1%). In all but one patient, ATRA was able to be successfully resumed. Ten patients presented with DIC (41.7%). Conclusions: In this population-based study, we noted episodic clustering of new cases and a relatively high proportion of CNS disease at diagnosis. While these observations may be due to normal fluctuations in the patterns a rare disease, this could also suggest an underlying environmental trigger. Additional investigation is required to confirm or refute this hypothesis, due to the relatively small numbers in this cohort. The high rate of CNS disease suggests that this finding maybe more common than previously thought. As the pathogenesis of APL remains unclear, these observations deserve additional epidemiological investigation in larger cohorts. Disclosures: Kumar:Celgene: Membership on an entity9s Board of Directors or advisory committees.
The influence of microbial community dynamics on anaerobic digestion efficiency and stability: A Review

An essential component in sustainable energy development is the production of bioenergy from waste. The most successful bioenergy technology worldwide is anaerobic digestion (AD), which is a microbially-mediated process of organic feedstock conversion into energy-rich compounds (volatile fatty acids (VFA) and biogas) for renewable energy generation. AD is deployed in a range of situations including systems for on-farm energy recovery from animal and plant waste to the processing of food and municipal solid waste (with the additional benefit of land-fill reduction). Anaerobic digesters rely on a diverse microbial community working syntrophycally through a series of interrelated biochemical processes. Each stage in anaerobic digestion is carried out by different microbial groups. Thus, to optimise energy recovery from the AD process, the microbial community must have stable performance over time, balancing the various metabolic functions and taxonomic community composition in digesters. Complicating this balance, it has been found that the presence of ammonia, sulphate, and hydrogen sulphide in substantial concentrations often cause failure in the AD process. Thus, these substances cause adverse shifts in microbial community composition and/or inhibit bacterial growth, that influencing AD performance. ©2020. CBIORE-IJRED. All rights reserved
A Practical Approach to Monoclonal Antibody Imaging

Working together as co-investigators on the professionol staff at the Medical CoUege ofWzsconsin, the authors of this article have had over five years of experience in the diagnostic use of monoclonal antibodies (MoAbs) for colorectal and ovarian cancer. We would like to share with you our approach to those MoAb imaging studies. While such agents have great potential for diagnosis and therapy, at the same time there can be problems and pitfalls. We present a practical and organized approach, which is the secret to success when undertaking MoAb imaging procedures. A complete review of MoAb technology and its application to nuclear medicine is beyond the scope of this article. However, a number of authoritative articles dealing with this topic have been published recently (1-12).
The criterion‐related validity of a short commensurate measure of personality‐based person‐organization fit

textabstractOur goal was to develop a commensurate measure of personality-based person-organization fit and examine its criterion-related validity for two retention-related attitudes: job satisfaction and intention to stay. At T0, 637 employees completed our questionnaire. Two years later, at T1, 171 of the original respondents completed our questionnaire again. Results showed that the organizational personality perceptions are relatively stable. Polynomial regression analyses and surface plots revealed that job satisfaction and intention to stay are higher when there is perfect fit between the person and the organization compared to when the person and the organization differ in traits. However, in most cases, we found the work attitudes to be maximized when both the person and the organization score high on the personality traits.
Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition

Abstract. Radiative forcing provides an important basis for understanding and predicting global climate changes, but its quantification has historically been done independently for different forcing agents, has involved observations to varying degrees, and studies have not always included a detailed analysis of uncertainties. The Copernicus Atmosphere Monitoring Service reanalysis is an optimal combination of modelling and observations of atmospheric composition. It provides a unique opportunity to rely on observations to quantify the monthly and spatially resolved global distributions of radiative forcing consistently for six of the largest forcing agents: carbon dioxide, methane, tropospheric ozone, stratospheric ozone, aerosol–radiation interactions, and aerosol–cloud interactions. These radiative-forcing estimates account for adjustments in stratospheric temperatures but do not account for rapid adjustments in the troposphere. On a global average and over the period 2003–2017, stratospherically adjusted radiative forcing of carbon dioxide has averaged +1.89 W m−2 (5 %–95 % confidence interval: 1.50 to 2.29 W m−2) relative to 1750 and increased at a rate of 18 % per decade. The corresponding values for methane are +0.46 (0.36 to 0.56) W m−2 and 4 % per decade but with a clear acceleration since 2007. Ozone radiative-forcing averages +0.32 (0 to 0.64) W m−2, almost entirely contributed by tropospheric ozone since stratospheric ozone radiative forcing is only +0.003 W m−2. Aerosol radiative-forcing averages −1.25 (−1.98 to −0.52) W m−2, with aerosol–radiation interactions contributing −0.56 W m−2 and aerosol–cloud interactions contributing −0.69 W m−2 to the global average. Both have been relatively stable since 2003. Taking the six forcing agents together, there is no indication of a sustained slowdown or acceleration in the rate of increase in anthropogenic radiative forcing over the period. These ongoing radiative-forcing estimates will monitor the impact on the Earth's energy budget of the dramatic emission reductions towards net-zero that are needed to limit surface temperature warming to the Paris Agreement temperature targets. Indeed, such impacts should be clearly manifested in radiative forcing before being clear in the temperature record. In addition, this radiative-forcing dataset can provide the input distributions needed by researchers involved in monitoring of climate change, detection and attribution, interannual to decadal prediction, and integrated assessment modelling. The data generated by this work are available at https://doi.org/10.24380/ads.1hj3y896 (Bellouin et al., 2020b).
РЕГИОНАЛЬНЫЕ ОСОБЕННОСТИ ЗАБОЛЕВАЕМОСТИ И СМЕРТНОСТИ ОТ БОЛЕЗНЕЙ СИСТЕМЫ КРОВООБРАЩЕНИЯ

Aim. To do comparative research on the structure, level and dynamics of morbidity by presentation rate and mortality from cardiovascular causes (CVD) of Chelyabinskaya Region inhabitants during ten years period — 2005-2014yy. Material and methods. The area of the study was Chelyabinskaya region — one of the economically largest regions in Russia. Data sources were official data of Federal Statistics service of RF, reports and accountability sheets from medical institutions during 2005- 2014yy. Results. In mortality from CVD structure from CVD the leading causes are ischemic heart disease (IHD) and cerebrovascular diseases (CeVD). During the period of study there was found a growth of general and primary morbidity by admittance for CVD. In the structure of general morbidity by admittance for CVD during last 10 years IHD is the leading, in the structure of general morbidity by admittance — CeVD. For the period studied, there was decrease of mortality from CVD by 22,7%, incl. 6,3% for IHD, and 1,7 times for CeVD. Conclusion. Regardless positive tendencies of last years, Chelyabinskaya region continues to be the region with high level of mortality from CVD. The revealed patterns of dynamics and structure of morbidity and mortality from CVD dictate the necessity of elaboration of the interventions for improvement of medical care for the patients with cardiovascular diseases at the level of regions.
Assessing Transitions to Sustainable Agricultural and Food Systems: A Tool for Agroecology Performance Evaluation (TAPE)

There is increasing interest in agroecology as a way to move toward more sustainable agriculture and food systems. However, the evidence of agroecology's contribution to sustainability remains fragmented because of heterogeneous methods and data, differing scales and timeframes, and knowledge gaps. Facing these challenges, 70 representatives of agroecology-related organizations worldwide participated in the development of the Tool for Agroecology Performance Evaluation (TAPE), to produce and consolidate evidence on the multidimensional performances of agroecological systems. TAPE is composed of: Step 0, the preliminary step that includes a description of the main socio-economic and demographic characteristics of the agricultural and food systems and an analysis of the enabling environment in terms of relevant policy, market, technology, socio-cultural and/or historical drivers; Step 1, the Characterization of Agroecological Transitions (CAET), based on the 10 Elements of Agroecology adopted by FAO and its member countries, using descriptive scales to establish scores and assessing the degree of transition, with information from the farm/household and community/territory scale; Step 2, the Core Criteria of Performance listing the key dimensions considered relevant to address the Sustainable Development Goals (SDGs): Environment & climate change; Health & nutrition; Society & culture; Economy and Governance. Finally Step 3, a participatory validation of the results obtained from the previous steps with the producers and relevant stakeholders. TAPE can be used (i) to assess the extent of agroecological transition among agricultural producers in a community or a territory, (ii) to monitor and evaluate projects by characterizing the initial and subsequent steps in an agroecological transition, and/or (iii) to evaluate widely diverse agricultural systems against agroecological elements and how they contribute to the achievement of the SDGs. Its application can support the transition of all forms of agricultural systems toward more sustainable practices and the formulation of adequate policies to enable this transformation. Preliminary results from pilot applications show that TAPE can perform in a variety of geographic regions and agroecosystems and that it allows assessment of performances of various criteria that move beyond classic indicators to begin to build a global evidence base for agroecology and support transformation to sustainable agricultural production and food systems.
A Multi-Label Machine Learning Approach to Support Pathologist's Histological Analysis

This paper proposes a new tool in the field of telemedicine, defined as a specific branch where IT supports medicine, in case distance impairs the proper care to be delivered to a patient. All the information contained into medical texts, if properly extracted, may be suitable for searching, classification, or statistical analysis. For this reason, in order to reduce errors and improve quality control, a proper information extraction tool may be useful. In this direction, this work presents a Machine Learning Multi-Label approach for the classification of the information extracted from the pathology reports into relevant categories. The aim is to integrate automatic classifiers to improve the current workflow of medical experts, by defining a Multi- Label approach, able to consider all the features of a model, together with their relationships.
A Review on Student Attrition in Higher Education Using Big Data Analytics and Data Mining Techniques

—Student attrition among undergraduate students is among the most concerned issues in higher educational institutions in Malaysia and abroad. This problem arises when these students unable to complete their studies within the stipulated period when there are majoring in the Science, Technology, Engineering, and Mathematics (STEM) fields. Research findings highlight numerous factors contribute to the student attrition. These findings also suggest that the factors differ from one case to another case. Effects of student attrition not only for the student itself but also to the institutions and community. It is challenging to classify the factors based on general assumptions. Moreover, increasing students’ information makes the problem more complicated. This student information can provide a useful database for analytical analysis. Methods such as big data analytics and data mining techniques can be deployed to gain insights and pattern that related to student attrition problem. The objective of this paper (i) review the student attrition in higher education (HE) and the contributing factors; and (ii) review the existing computational model to analyze and predict student attrition in HE.
Randomized phase II trial of erlotinib (E) versus temozolomide (TMZ) or BCNU in recurrent glioblastoma multiforme (GBM): EORTC 26034

2005 Background: In 40–50% of GBM epidermal growth factor receptor (EGFR) is amplified, and often constitutively activated (EGFRvIII mutant). EGFR is therefore a potential therapeutic target. Previous studies suggested activity of EGFR tyrosine-kinase inhibitors in recurrent GBM, particularly in specific molecular subsets. This study explored erlotinib (E) activity in recurrent GBM. Methods: Randomized phase II trial. Eligibility criteria: histologically proven GBM, recurrent >3 months after radiotherapy, Karnofsky performance status (KPS) =70, no prior chemotherapy for recurrent disease, tissue sample for EGFR studies. Patients (pts) received E 150mg/day (300mg/day if on enzyme inducing anti-epileptic drugs [EIAEDs]), or control (TMZ 150–200mg/m2, day 1–5 q4wk or BCNU 60–80mg/m2 i.v., day 1–3 q8wk). If no significant toxicity, E was escalated to 200mg (500mg in patients on EIAEDs). The primary endpoint was 6 months’ PFS in =10/50 pts on E (20%); P0 was set at 15%, and P1 at 30%. Response was assessed wit.
Eine gesunde Darmmikrobiota unterstützt die Barriere-Funktion der Mukosa

ZUSAMMENFASSUNG Die Darmschleimhaut hat gegensätzlich erscheinende Aufgaben: Einerseits dient sie der Resorption von Nährstoffen, andererseits bildet sie gleichzeitig eine Barriere zwischen der Außenwelt und dem Körperinneren. Zur Dichtigkeit der Mukosa tragen eine unversehrte Mukusschicht auf dem Epithel, gut ernährte Epithelzellen mit intakten Tight Junctions und insbesondere eine gesunde Darmmikrobiota bei. Ist die Barriere geschädigt, steigt das Risiko für eine Silent Inflammation, die den ganzen Körper betrifft und für zahlreiche chronische Erkrankungen verantwortlich ist.
Case-based surveillance of antimicrobial resistance with full susceptibility profiles

Abstract Surveillance of antimicrobial resistance (AMR) is essential for clinical decision-making and for public health authorities to monitor patterns in resistance and evaluate the effectiveness of interventions and control measures. Existing AMR surveillance is typically based on reports from hospital laboratories and public health laboratories, comprising reports of pathogen frequencies and resistance frequencies among each species detected. Here we propose an improved framework for AMR surveillance, in which the unit of surveillance is patients with specific conditions, rather than biological samples of a particular type. In this ‘case-based’ surveillance, denominators as well as numerators will be clearly defined with clinical relevance and more comparable at the local, national and international level. In locations with sufficient resources, individual-based data on patient characteristics and full antibiotic susceptibility profiles would provide high-quality evidence for monitoring resistant pathogens of clinical importance, clinical treatment of infections and public health responses to outbreaks of infections with resistant bacteria.
Transnational governance of innovation in payment services: A case study of the Single Euro Payments Area

This chapter examines the Single Euro Payment Area (SEPA) as a case study of the role transnational business governance interactions (TBGIs) might play at the frontier of innovation in financial services. In 1999, when the EU asked European banks to eliminate barriers to cross-border electronic fund transfers in euros in time for the official launch of the euro in 2001, neither regulators nor banks could have imagined that SEPA would not be completed until 2016. While EU regulators blamed the delay on industry recalcitrance, this chapter explains it as a failure to mobilize TBGIs. EU regulators failed to recognize the public good characteristics of proprietary payment systems, while regulators and banks alike systematically underestimated the difficulty and cost of modernizing banks’ legacy computer systems and re-engineering their business processes. As a result, the emergence of a productive coregulatory relationship in which the EU would catalyze market-driven technical and regulatory innovation was frustrated. The EU became increasingly heavy-handed, rejecting the banks’ cost-recovery proposals, countermanding industry consensus and ultimately stripping the self-regulatory European Payments Council (EPC) of policy-making authority. Without a cost recovery mechanism to incentivize participation, the EPC made glacial progress and could not convince many banks to join SEPA even after it was in place. The chapter suggests that constructive TBGIs can be achieved by treating proprietary market infrastructures as partial public goods and establishing consensus-based co-regulatory processes, but warns that future EU-bank interactions may suffer from the same downward spiral of frustration due to regulators’ unwillingness or inability to factor commercial realities into their policy calculus.
An Ultra Low Power Integrated Radio TX Link Supplied From a Switched Capacitor DC–DC Converter in 65-nm CMOS Achieving 2 Mbps

This brief presents a highly integrated ultra-low-power Transmitter (TX) supplied from a high efficiency Switched Capacitor DC-DC (SC DC-DC) converter targeting the IEEE 802.15. 6 standard for Wireless Body Area Network (WBAN) applications. The transmitter is supplied from the SC DC-DC for a high global efficiency when the chip is supplied from a regular 1.2 V or higher supply. The transmitter generates the RF signal using an FBAR oscillator, which is integrated within the package. The chip is fabricated using standard 65 nm CMOS process from UMC. The TX achieves 34% global PA efficiency (42% drain efficiency) and 21% total chip efficiency (26% Radio only) at −9.5 dBm output power and consumes 538 uW.
Statistical Analysis of the TSAD Interactome in Multiple Sclerosis: Multiple Testing, High Dimensional Regression and Interactions

Multiple Sclerosis (MS) is a chronic inﬂammatory disease of the Central Nervous System (CNS). The presence of Oligoclonal Band (OCB) in Cerebrospinal Fluid (CSF) is an important diagnostic tool in MS. The main aim of this study was to determine SNPs and SNPs-SNPs interactions in the genomic TSAD (T-Cell Specific Adaptor Proteins) region which explain the difference between two MS conditions: OCB positive vs. OCB negative in sampled Norwegian patients. The data to this study was obtained from the MS Registry Ulleval University Hospital, Oslo, Norway. Of 899 patients, 802 were OCB positive and 97 OCB negative, each has 923 SNPs at speciﬁc position in their chromosome measure. The study incorporated two different statistical methods to our data analysis. First, we apply variable selection based on Lasso method, here we discuss Lasso for Logistic Regression Analysis and see interaction effect for the Lasso selected SNPs. In the second section, we analyze variable selection based on test of association. Here, we used Chi-Square and Fisher’s exact test of association to see association between the statuses of OCB to each SNP. We found out that the Chi-Square test of association selected 34 signiﬁcant SNPs and the association test for Fisher’s exact test selected 38 signiﬁcant SNPs at signiﬁcance level of 0.05. Then we used Boferroni and False Discovery Rate to statistically signiﬁcant SNPs for the multiple testing corrections. Finally, we looked for interaction effects to some selected SNPs from test of association and we have determined SNPs and SNP-SNP interactions which appear to have signiﬁcant associated to the OCB subpopulation of MS patients, based on our study of the Norwegian cohort. These are selected SNPs which have been selected by any of the methods that we used (various hypothesis testing and regressions). This is the SNPs that we think should be studied further and validated on a new dataset. Of particular importance are the seven SNP-SNP interactions which we found. It is the ﬁrst time a SNP-SNP study has been performed on these data, and the ﬁnding will be communicated to the Norwegian molecular biologists to be followed up. Keywords: Multiple Sclerosis, OCB, TSAD, Multiple Testing, High Dimensional Regressions, LASSO DOI : 10.7176/JMPB/61-01 Publication date: November 30 th 2019
Tractable embodied computation needs embeddedness

It seems that a move from discrete to analog computation demands new types of complexity theory to demarcate the tractability border for embodied computation. We argue, however, that application of complexity theory need not hinge on the analog versus discrete distinction as much as one may think. Instead, we will show that embeddedness, one of the core commitments of enactivism, proves more critical for understanding tractable embodied computation.