Miracle-dz/UniFAR-FTUs huggingface dataset:
Plants Associated with Tentaculites in a New Early Devonian Locality from Morocco

A new Early Devonian plant assemblage is described from a locality of central Morocco, at about 20 km north-west of Azrou. It currently represents the best dated assemblage of this age from Northern Gondwana. The fossils occur in a marine facies of alternating shales and sandstones. Associated miospores are badly preserved; they indicate an early Pragian to early Eifelian age. Five species of Tentaculites are reported, that indicate a Lower Emsian age. The plant macro-remains are preserved as adpressions (sensu SHUTE & CLEAL, 1987). The assemblage includes classical floral components of Early Devonian age, such as Pachytheca sp. (a possible alga), cf. Sporogonites sp. (a putative early moss), Dawsonites sp. (detached pairs of fusiform sporangia related to the Trimerophytopsida), cf. Uskiella sp. /Sartilmania sp. (terminal sporangium from a basal group of Eutracheophytes), a zosterophyllopsid-type of strobilus, and vegetative unbranched leafy axes of putative lycopsid affinities. Specimens of Spongiophyton sp. , a putative lichen, have also been identified. Representatives of two new genera of uncertain affinities are briefly described. The assemblage from the new locality shows the closest similarities with the more or less contemporaneous assemblages of Southern Wales, Belgium and Germany. From a palaeogeographical point of view, these new data favour the positions of Wales, Belgium, Germany, and Morocco hypothesised in the reconstructions of SCOTESE & MCKERROW (1990) for the Early Devonian. On the basis of its generic and specific composition, the Moroccan assemblage might represent a separate phytogeographic sub-unit.
epoetin zeta in the management of anemia associated with chronic kidney disease, differential pharmacology and clinical utility

: Epoetin zeta was granted marketing authorization in October 2007 by the European Medicines Agency as a recombinant human erythropoietin erythropoiesis-stimulating agent to treat symptomatic anemia of renal origin in adult and pediatric patients on hemodialysis and adults on peritoneal dialysis, as well as for symptomatic renal anemia in adult patients with renal insufficiency not yet on dialysis. Currently, epoetin zeta can be administered either subcutaneously or intravenously to correct for hemoglobin concentrations # 10 g/dL (6.2 mmol/L) or with dose adjustment to maintain hemoglobin levels at desired levels not in excess of 12 g/dL (7.5 mmol/L). This review article focuses on epoetin zeta indications in chronic kidney disease, its use in managing anemia of renal origin, and discusses its pharmacology and clinical utility.
Radioembolization for Primary and Metastatic Tumors of the Liver Policy Guidelines

Radiofrequency ablation may be considered medically necessary to treat localized renal cell carcinoma that is no more than 4 cm in size when either of the following criteria is met:  In order to preserve kidney function in patients with significantly impaired renal function (i.e., the patient has one kidney or renal insufficiency defined by a glomerular filtration rate [GFR] of less than 60 mL/min/m2) when the standard surgical approach (i.e., resection of renal tissue) is likely to substantially worsen existing kidney function; OR  The patient is not considered a surgical candidate.
Thoracic Aorta Interventional Planning and Follow-Up

by more than 2 SDs over the mean. Based on population studies, the thoracic aorta is generally considered aneurysmal at 4 cm. Up to one-third of thoracic aortic aneurysms extend into the abdominal aorta, increasing complexity of endovascular or surgical repair [10]. Intervention is indicated when aneurysm diameter exceeds 5.5 cm or demonstrates rapid growth [10]. More conservative thresholds are implemented in patients with underlying connective tissue disorders or a bicuspid aortic valve.
Ki-67 EXPRESSION IN TRIPLE NEGATIVE BREAST CANCER-APROGNOSTIC MARKER

Background: Breast cancer is a multifactorial disease, consisting of distinct biological subtypes, with different natural evolution and a broad spectrum of clinical, pathologic, and molecular characteristics, with different prognoses and therapeutic implications. Due to the disease heterogeneity, there is a relentless pursuit in identifying certain predictive markers concerning disease prognosis and treatment response. Specific markers are used to predict the treatment response and guide the therapeutic plan. Objective: The present study was undertaken to analyse the prognostic parameter Ki-67 expression in histopathological and immunohistochemical evaluation of specimens of breast cancer, in relation to triple-negative breast cancer (TNBC). Methods: The study was based on the histopathologicaland immunohistochemistry findings in specimens of breast cancer, obtained from MRM or BCT in 155 patients in the department of Pathology, at a multi-speciality hospital.IHC slides were evaluated for review of the ER, PR, HER-2neu, and Ki67 status in each case.M Results : Majority of patients (60%) were in 4 th & 5 th decade of their life with common morphological feature of grade II infiltrating duct carcinoma (74.2%). Out of 155 cases, 63.8%, 55.48% and 22.58% cases were ER, PR and Her2/neu receptor positive respectively. 20.64% cases were triple negative. 76.2% of grade III and 41.7% of grade II tumor had Ki-67 index more than 20%. Eleven out of 21 grade III tumours (52.38%) were triple negative breast cancer. 59.37% of triple negative cases had Ki-67 index more than 20%. Conclusion: A significant association was found between high Ki-67 index and triple negative cancers of the breast indicative of a poor prognosis. Triple negative breast cancer prevalence has increased in Indian scenario (20%) which is positively correlated with poor prognostic parameters and with increased expression of Ki-67 (59.37%). High-Ki 67 expression detected by IHC has been reported as the strongest individual prognostic factor of breast cancer death or recurrence in patients.
The Effect of Pollution on Worker Productivity : Evidence from Call Center Workers in China † By

151 * Chang: University of Southern California, 701 Exposition Blvd., Los Angeles, CA 90089 (email: tychang@marshall.usc.edu); Graff Zivin: University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093 and National Bureau of Economic Research (NBER) (email: jgraffzivin@ucsd.edu); Gross: Boston University, 595 Commonwealth Ave, Boston, MA 02215 and NBER (email: talgross@bu.edu); Neidell: Columbia University, 722 W. 168th St, NY, NY 10032 and NBER (email: mn2191@columbia.edu). We are grateful to Nick Bloom, Jennifer Cao, John Roberts, Jenny Ying, and Zhichun Ying for help with the Ctrip data, with special thanks to James Liang, CEO of Ctrip. We are also grateful to Junjie Zhang and Shuang Zhang for help with the environmental data. We thank conference and seminar participants at Boston University, Goethe University, Hong Kong University of Science and Technology IZA Conference on Labor Market Effects of Environmental Policies, the NBER Health Economics program meeting, the Federal Reserve Bank of New York, Pampeu Fabra University, the University of Rotterdam, the University of Southern California, and the University of Stockholm for useful feedback. † Go to https://doi.org/10.1257/app.20160436 to visit the article page for additional materials and author disclosure statement(s) or to comment in the online discussion forum. The Effect of Pollution on Worker Productivity: Evidence from Call Center Workers in China
The influence of growth conditions on physico-mechanical properties of Scots pine (Pinus sylvestris L.) wood in Estonia

Plants frequently experience heat ramps of various severities, but how and to what degree plant metabolic activity recovers from mild and severe heat stress is poorly understood. In this study, we exposed the constitutive terpene emitter, Solanum. lycopersicum leaves to mild (37 and 41 C), moderate (46 C) and severe (49 C) heat ramps of 5 min and monitored foliage photosynthetic activity, lipoxygenase pathway volatile (LOX), and monoand sesquiterpene emissions and expression of two terpene synthase genes, b-phellandrene synthase and (E)-b-caryophyllene/a-humulene synthase, through a 24 h recovery period upon return to pre-stress conditions. Leaf monoterpene emissions were dominated by b-phellandrene and sesquiterpene emissions by (E)-b-caryophyllene, and thus, these two terpene synthase genes were representative for the two volatile terpene classes. Photosynthetic characteristics partly recovered under moderate heat stress, and very limited recovery was observed under severe stress. All stress treatments resulted in elicitation of LOX emissions that declined during recovery. Enhanced monoand sesquiterpene emissions were observed immediately after the heat treatment, but the emissions decreased even to below the control treatment during recovery between 2 and 10 h, and raised again by 24 h. The expression of b-phellandrene and (E)-b-caryophyllene synthase genes decreased between 2 and 10 h after heat stress, and recovered to pre-stress level in mild heat stress treatment by 24 h. Overall, this study demonstrates a highly sensitive heat response of terpenoid synthesis that is mainly controlled by gene level responses under mild stress, while severe stress leads to non-recoverable declines in foliage physiological and gene expression activities. ã 2016 Elsevier B.V. All rights reserved.
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models

Knowledge graphs (KGs) serve as the backbone of many applications such as recommendation systems and question answering. All these applications require reasoning about the relevance of facts in a KG to downstream applications. In this work, we describe our efforts in building a solution to reason about the importance of facts over continuously updated industry-scale KGs. We focus on the problem of fact ranking and evaluate to what extent modern knowledge graph embedding (KGE) models provide a representation for addressing this problem. To this end, we discuss unique challenges associated with solving this task in industrial settings and evaluate how accurately different KGE models and text-based embedding models can solve the problem of fact ranking.
ROLE OF PLACENTAL LOCALISATION IN DETERMINING PREGNANCY OUTCOME

Background: The localisation of placenta in mid trimester has been theorised to have effect on pregnancy (Antenatal/ Intranatal/ post-natal). The objective is to assess the association of placental location with Feto-maternal outcome. Materials and Methods: It was a prospective observational, time bound, Cohort study conducted between September 2020 and May 2021at a tertiary care hospital.402 Pregnant women meeting the inclusion criteria were divided as per placental location noted between 18-24 weeks of gestation by ultrasound (where >=75% of placenta is located), into four groups as Anterior, Posterior, Fundal, Lateral. All the women were followed till delivery. The Outcomes were noted in terms of Antenatal complications, Gestation at delivery, Mode of delivery, Intranatal events, Postpartum complications and Neonatal Outcomes. Result: Out of 402 pregnancies, 172(42.8%) had anterior, 108(26:9%) had fundal, 31(7.7%) had lateral 91(22.6%) had posterior placenta. Pre-eclampsia (23%) and IUGR (19.4%) were more common in laterally implanted placenta. The incidence of Preterm premature rupture of membranes was found to be higher among fundal placenta (3.7%). Regarding Mode of delivery, 51.6% women with lateral placenta had emergency LSCS. Conclusion: Most common site of placentation is Anterior. Among all the sites of implantation, Lateral and fundal location of placentation are associated with adverse pregnancy events like Pre-eclampsia, IUGR, Emergency LSCS and PROM and PPROM respectively.
Journal of Engineering and Technology for Industrial Applications

Article History Received: November 07, 2020 Accepted: November 25, 2020 Published: December 11, 2020 Problems based on agricultural activities are increasingly adversely affecting the environment and living health mostly due to chemical inputs used which cause concerns globally. One of the non-chemical weed control methods is the microwave weed control method. The purpose of this research is to propose an environmentally friendly agricultural machine design that can be an alternative to harmful chemicals used in weed control. In this study, microwave generators (magnetron) receive their energy from a generator fed from the tractor shaft. Multiple magnetrons, control, and leakage unit, and waveguides operating at 2.45 GHz ISM will be used. The design includes a magnetic shunt transformer, a high voltage capacitor, a filter, and a cooling fan with each magnetron where microwave leaks that occur during applications can be controlled and magnetron activities can also be monitored. Field applications and tractor working conditions will be analyzed and the device will be re-designed and developed according to the needs. In this study, unlike the other studies, more than one magnetron will be used and the device is designed for open agricultural areas applications. This design and application area differences are the most important feature that distinguishes this study from others, and it is made for the first time. Its use is expected to occur in all countries with similar characteristics for agricultural production.
The Moral Status of Artificial Intelligence: Exploring Users’ Anticipatory Ethics in the Controversy Regarding LaMDA’s Sentience

Several approaches in the area of technological developments have given increased importance to technologies not yet implemented but frequently discussed within users’ social groups. Drawing on qualitative content analysis based on tweets and comments related to Google’s AI product LaMDA from the last six months (N=317), we discuss Brey’s anticipatory ethics, i.e. people’s ways of sensemaking related to the potential ethical consequences of tech product designs and policies of use. We adopt the theoretical approach of the “technomoral scenario”, which is focused on anticipations of the potential consequences regarding the unimplemented technologies, and we study users’ “interpretive flexibility”, which has the role of unifying divergent opinions, when it comes to technological developments. We conclude that the anticipatory ethics regarding New and Emerging Technologies takes shape around a coherent framework of opinions and values related to technological controversies.
Achievements Regarding the Optimal Control of Refinery Processes

Refinery processes are characterized by high energy consumption and extremely long operating regimes. Increasing the profitability of refinery installations can be achieved by implementing optimal control systems. Due to the particularity of the processes, the steady-state regimes are particularly important and implicitly the optimal control in steady-state is often used. The paper presents the results of research carried out between 1990 and 2022 in the Petroleum-Gas University of Ploiesti, Romania.
Big Data Analytics Capability and Sustainability: A Systematic Literature Review

Big data analytics capabilities (BDAC) have been considered a pivotal means of transforming business data into valuable business insights to bring a competitive advantage. This paper aims to provide a systematic literature review to demonstrate the existing empirical investigations on the impact of BDAC on sustainability. The search strategy resulted in 289 studies, of which 59 were shortlisted for review through a stringent quality rubric. The findings indicate that BDAC research is still in its early stage, and there is no consensus on a list of capabilities required to form BDAC. The study also reveals that existing BDAC investigations were mainly conducted in a developed country context, and the impact of BDAC on sustainability is largely unexplored. The main BDAC research interests are focused on firm’s performance, innovation, and supply chain competitiveness. The study proposes several research gaps.
Transportation Assimilation: Immigrants, Race and Ethnicity, and Mode Choice

Immigration has altered the demographic composition of California where the foreign-born population now comprises more than one-quarter of the population. Despite this staggering figure, surprisingly little academic scholarship has focused on the travel patterns and behavior of immigrants. In this study, we use data from the 2000 Public Use Microdata Sample (PUMS) of the U.S. Census to examine the commute mode choice of California’s foreign-born population and, more specifically, the relationship between length of residency in the U.S. and transit usage rates, controlling for other factors likely to influence mode choice. We find that recent immigrants—regardless of race or ethnicity—are significantly more likely to commute by transit than native-born adults. After the first five years in the U.S., assimilation to automobile use occurs across all immigrant groups; however, the rate of assimilation varies significantly by racial and ethnic group even controlling for income. Asian immigrants rapidly move to automobile use while Hispanic immigrants remain more likely to use transit than native-born commuters even after 20 years in the U.S. The findings from this study suggest that factors in addition to income and residential location—such as cultural differences—affect commute mode choice. Further, since assimilation to automobile use occurs across all immigrant groups, without a steady stream of new immigrants as well as policy changes to either slow the assimilation process or attract new riders, transit ridership in California likely will decline.
Determinants that drive the behavioural intention of employees in the IT industry to use CI/CD framework: A study based on Sri Lankan IT companies

Continuous Integration and Continuous Delivery (CI/CD) is an Agile-based software development methodology becoming increasingly popular in the software development industry due to its ability to automate the software delivery process, reduce the time to market, and enhance software quality. However, despite the growing interest in CI/CD adoption, many organizations have not achieved full success in implementing and utilizing the CI/CD workflow. To address this gap, this study aimed to identify the factors that drive the behavioural intention of IT employees to use the CI/CD workflow: based on the Sri Lankan context. A systematic literature review using the PRISMA framework identified the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology models as the most widely used and accepted models for understanding technology adoption. Therefore, TAM, UTAUT and past literature were used to develop the conceptual framework. The variables in this research model were measured through questionnaires with nominal and five-point Likert scales and close-ended questions, which were completed by the IT employees in Sri Lanka. Data cleaning and demographic data analysis were conducted using IBM SPSS 21, and preliminary data analysis was performed using PLS-SEM (SmartPLS 4). The study found that Performance expectancy is the most significant factor determining IT employees’ behavioural intention to use CI/CD workflow. Therefore, the study concluded that organizations and management should focus more on enhancing employees’ performance expectancy to adopt CI/CD workflow successfully.
The Process of Social Innovations in Social Service Organizations

The social innovations process of social service organizations are in the focus of this study consisting of a theoretical framing, secondary data analysis, and expert interviews. By investigating the viewpoints of the third or welfare sector, the innovation system for social innovations are described in the case of Saxony, Germany. Therefore, the theoretical concepts of the innovation system and the social innovation processes, aided in structuring the relevant aspects that need consideration. With a systemic focus, the findings reveal an adapted social innovation process of social service organizations and inner-organization, inter-organization, and system-wide interrelation and challenges. Such challenges are, for instance, the requirement of collaboration between new and traditional actors in the third sector, internal challenges in resources for innovations, collaboration with universities and funding institutions.
Energy Efficient IoT Air Quality Monitoring System

Air pollution is one of the major environmental issues discussed lately due to its influence on human health. Particular attention is paid to air quality monitoring today and most developed societies have implemented weather and air quality monitoring stations in various locations inside or outside cities to monitor and reduce the effects of poor air quality. Modern standards and sensors have started to be used in recent years to monitor air quality. Conventional air quality monitoring systems, on the other hand, are not able to provide real-time air quality data with acceptable spatial and temporal resolutions at a low cost, so the challenge is to achieve low-cost and energy-independent solutions. Using modern technologies, e.g. Internet of-things (IoT), an original approach is proposed for building an air quality monitoring system considering low cost equipment and efficient energy autonomous approach. Smart cities have successfully implemented air quality monitoring systems that combine both hardware and software. The results presented in the paper show the viability of the proposed solution, exposing the designed solution and different ways of presenting air quality monitoring.
Impediments to Knowledge Transfer Behavior of IT Professionals: An Integrative Framework

Technical knowledge transfer within an organization is expected to enhance organizational innovation capability. These activities seem to be influenced by organizational climate, individual knowledge-hiding behaviors, psychological ownership of knowledge, and trust and organizational time pressure. However, few studies examine in an integrated manner, the impact of these factors on the individual’s technical knowledge transfer activities. This study focuses on IT professionals and analyzes this influence using the Theory of Planned Behavior to set the research framework. A questionnaire survey was administered to 399 IT professionals. Based on the results of a structural equation modeling analysis, we show how factors related to knowledge transfer behavior, namely communications and internal and external company rules can enhance a creative climate, reduce the potential of knowledge-hiding behavior and instead, promote knowledge transfer.