Miracle-dz/UniFAR-FTUs huggingface dataset:
Stochastic Expected Utility for Binary Choice: New Representations

We present new axiomatisations for various models of binary stochastic choice that may be characterised as "expected utility maximisation with noise". These include axiomatisations of strictly (Ryan 2018a) and simply (Tversky and Russo, 1969) scalable models, plus strict (Ryan, 2015) and strong (Debreu, 1958) Fechner models. Our axiomatisations complement the important contributions of Blavatskyy (2008) and Dagsvik (2008). Our representation theorems set all models on a common axiomatic foundation, progressively augmented by additional axioms necessary to characterise successively more restrictive models. In particular, we are able to decompose Blavatskyy's (2008) common consequence independence axiom into two parts: one that underwrites the linearity of utility and another than underwrites the Fechnerian structure of noise. This has signifcant advantages for testing the Fechnerian models, as we discuss.
Outcomes in patients with COVID-19 and new onset heart blocks: Insight from the National Inpatient Sample database

BACKGROUND Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in a worldwide health crisis since it first appeared. Numerous studies demonstrated the virus’s predilection to cardiomyocytes; however, the effects that COVID-19 has on the cardiac conduction system still need to be fully understood. AIM To analyze the impact that COVID-19 has on the odds of major cardiovascular complications in patients with new onset heart blocks or bundle branch blocks (BBB). METHODS The 2020 National Inpatient Sample (NIS) database was used to identify patients admitted for COVID-19 pneumonia with and without high-degree atrioventricular blocks (HDAVB) and right or left BBB utilizing ICD-10 codes. The patients with pre-existing pacemakers, suggestive of a prior diagnosis of HDAVB or BBB, were excluded from the study. The primary outcome was inpatient mortality. Secondary outcomes included total hospital charges (THC), the length of hospital stay (LOS), and other major cardiac outcomes detailed in the Results section. Univariate and multivariate regression analyses were used to adjust for confounders with Stata version 17. RESULTS A total of 1058815 COVID-19 hospitalizations were identified within the 2020 NIS database, of which 3210 (0.4%) and 17365 (1.6%) patients were newly diagnosed with HDAVB and BBB, respectively. We observed a significantly higher odds of in-hospital mortality, cardiac arrest, cardiogenic shock, sepsis, arrythmias, and acute kidney injury in the COVID-19 and HDAVB group. There was no statistically significant difference in the odds of cerebral infarction or pulmonary embolism. Encounters with COVID-19 pneumonia and newly diagnosed BBB had a higher odds of arrythmias, acute kidney injury, sepsis, need for mechanical ventilation, and cardiogenic shock than those without BBB. However, unlike HDAVB, COVID-19 pneumonia and BBB had no significant impact on mortality compared to patients without BBB. CONCLUSION In conclusion, there is a significantly higher odds of inpatient mortality, cardiac arrest, cardiogenic shock, sepsis, acute kidney injury, supraventricular tachycardia, ventricular tachycardia, THC, and LOS in patients with COVID-19 pneumonia and HDAVB as compared to patients without HDAVB. Likewise, patients with COVID-19 pneumonia in the BBB group similarly have a higher odds of supraventricular tachycardia, atrial fibrillation, atrial flutter, ventricular tachycardia, acute kidney injury, sepsis, need for mechanical ventilation, and cardiogenic shock as compared to those without BBB. Therefore, it is essential for healthcare providers to be aware of the possible worse predicted outcomes that patients with new-onset HDAVB or BBB may experience following SARS-CoV-2 infection.
Variation of CO2 Concentration in Greenhouses and Effects on Growth and Yield in Alstroemeria with CO2 Supplementation

We analyzed the variations in the CO 2 concentration and temperature between a CO 2 -enriched and control green-house. We cultivated Alstroemeria ‘Hanhera’ in the two greenhouses and assessed the growth parameters (stem length, stem thickness, and the number of flowers) and yield. The CO 2 -enriched greenhouse had a CO 2 generator that produced CO 2 at rate of 0.36 kg/h and its windows were programmed to open when the temperature exceeded 20℃ and close when it dropped below 15℃. The control greenhouse had no additional CO 2 supplementation, and its windows were programmed to open when the temperature exceeded 20℃ and close at approximately 17:00. In the morning, CO 2 concentration remained above 500 ppm in the CO 2 -enriched greenhouse, which was higher than that in the control greenhouse (approximately 370 ppm). The ventilation effect only through the side windows to reduce the temperature in both greenhouses did not appear dynamically. CO 2 supplementation promoted plant growth, resulting in a significant increase in plant yield of over 60% compared to that of the control greenhouse. Our findings suggest that elevated CO 2 concentration in the morning can significantly promote the growth and development of Alstroemeria during the winter.
Autologous Whole-Blood Versus Corticosteroid Local Injection in Treatment of Plantar Fasciitis: A Randomized Single Blind Placebo-Controlled Study

Background: Autologous whole-blood intralesional injection has attracted interest as a possible means of treatment for chronic plantar fasciitis. We contrasted its effectiveness with that of corticosteroids, which have a longer history of success in treating tendinopathies such as plantar fasciitis. In order to monitor the disease's progress naturally, we also compared them with a placebo. Methods: Sixty clinically diagnosed patients were taken up for intralesional injection of autologous whole blood (AWB), corticosteroid, and normal saline as placebo mixed with 2 mL of lignocaine after dividing them into three groups. Two doses were given and followed up in the third, sixth, and 12th weeks. The evaluation was done according to the visual analog scale (VAS) and the number of tablets of paracetamol (PCM) 500 mg consumed for the following period. Results: When compared to the placebo group in the third, sixth, and 12th weeks, the corticosteroid group exhibited a significant improvement with a p<0.001 in the VAS score, whereas the autologous whole blood group showed no meaningful difference. When compared to the placebo group at the sixth and 12th weeks, the AWB group's VAS score showed a statistically significant difference with a p>0.001. At each follow-up, the placebo group consumed more analgesics than the corticosteroid group, with a p<0.001. Only in the third week of follow-up did AWB demonstrate a statistically significant difference in PCM consumption as compared to the corticosteroid group. Conclusion: Statistically significant improvement was seen in both the AWB group and corticosteroid group as compared to the placebo group. The corticosteroid group achieved earlier and superior relief of pain while AWB had a longer lasting effect. Therefore, study results indicate almost similar results in short-term studies.
Integrated Environmental Assessment and Management

Increasing demand for metals used in clean energy technologies, including electric vehicles, has led to an increased demand in certain metals such as Ni, Co, and Mn. This demand has in turn led to an expanding interest in deep‐seabed mining (DSM) of polymetallic nodule deposits that contain these exact metals. The main concerns about DSM relate to the incomplete information available about the environmental risks associated with seabed mineral extraction. Key uncertainties need to be systematically addressed to refine environmental impact predictions and establish effective mitigation measures. Adaptive management is an iterative process for reducing the uncertainty that can be applied by both mining companies and regulatory bodies. This Special Series paper reviews the key opportunities and challenges to operationalizing adaptive management in DSM projects and highlights the need for a framework to move from theory to practice. The discussion proposes a systems approach to adaptive management, which could help to guide the environmental management of deep‐sea mineral extraction. Integr Environ Assess Manag 2022;18:674–681. © 2021 SETAC
Uniparental expression of ribosomal RNA in ×Festulolium grasses: a link between the genome and nucleolar dominance

Genome or genomic dominance (GD) is a phenomenon observed in hybrids when one parental genome becomes dominant over the other. It is manifested by the replacement of chromatin of the submissive genome by that of the dominant genome and by biased gene expression. Nucleolar dominance (ND) – the functional expression of only one parental set of ribosomal genes in hybrids – is another example of an intragenomic competitive process which, however, concerns ribosomal DNA only. Although GD and ND are relatively well understood, the nature and extent of their potential interdependence is mostly unknown. Here, we ask whether hybrids showing GD also exhibit ND and, if so, whether the dominant genome is the same. To test this, we used hybrids between Festuca and Lolium grasses (Festulolium), and between two Festuca species in which GD has been observed (with Lolium as the dominant genome in Festulolium and F. pratensis in interspecific Festuca hybrids). Using amplicon sequencing of ITS1 and ITS2 of the 45S ribosomal DNA (rDNA) cluster and molecular cytogenetics, we studied the organization and expression of rDNA in leaf tissue in five hybrid combinations, four generations and 31 genotypes [F. pratensis × L. multiflorum (F1, F2, F3, BC1), L. multiflorum × F. pratensis (F1), L. multiflorum × F. glaucescens (F2), L. perenne × F. pratensis (F1), F. glaucescens × F. pratensis (F1)]. We have found that instant ND occurs in Festulolium, where expression of Lolium-type rDNA reached nearly 100% in all F1 hybrids and was maintained through subsequent generations. Therefore, ND and GD in Festulolium are manifested by the same dominant genome (Lolium). We also confirmed the concordance between GD and ND in an interspecific cross between two Festuca species.
Temporal artery biopsy for suspected giant cell arteritis: A mini review

Giant cell arteritis (GCA) is a granulomatous inflammation involving medium and large vessels that can lead to serious clinical manifestations associated with tissue ischemia. Temporal artery biopsy (TAB) is currently the gold standard method for the diagnosis of GCA, with a specificity of 100% and a sensitivity of 77%. However, the false-negative rate for TAB ranges from 9% to 61%. False negatives may be related to the timing of biopsy, the length of specimen, and the existence of “skip lesions. ” We reviewed the relevant evidence for methods to improve the sensitivity and reduce the false-negative rate for TAB. To reduce the false-negative rate for TAB, it is recommended to perform TAB within 1 week of starting corticosteroid therapy. Although there is currently no consensus, we suggest that the temporal artery is cut to a length of 20‒30 mm and to prepare serial pathological sections. It is necessary to attach great importance to patients suspected of having GCA, and complete TAB should be performed as soon as possible while starting corticosteroid therapy promptly. We also discuss the clinical value of non-invasive vascular imaging technologies, such as DUS, CTA, MRA, and 18F-FDG-PET/CT, as auxiliary methods for GCA diagnosis that could partially replace TAB.
Comparing Aerial-RIS- and Aerial-Base-Station-Aided Post-Disaster Cellular Networks

Reconfigurable intelligent surface (RIS) technology and its integration into existing wireless networks have recently attracted much interest. While an important use case of said technology consists in mounting RISs onto unmanned aerial vehicles (UAVs) to support the terrestrial infrastructure in post-disaster scenarios, the current literature lacks an analytical framework that captures the networks' topological aspects. Therefore, our study borrows stochastic geometry tools to estimate both the average and local coverage probability of a wireless network aided by an aerial RIS (ARIS); in particular, the surviving terrestrial base stations (TBSs) are modeled by means of an inhomogeneous Poisson point process, while the UAV is assumed to hover above the disaster epicenter. Our framework captures important aspects such as the TBSs' altitude, the fact that they may be in either line-of-sight or non-line-of-sight condition with a given node, and the Nakagami-m fading conditions of wireless links. By leveraging said aspects we accurately evaluate three possible scenarios, where TBSs are either: (i) not aided, (ii) aided by an ARIS, or (iii) aided by an aerial base station (ABS). Our selected numerical results reflect various situations, depending on parameters such as the environment's urbanization level, disaster radius, and the UAV's altitude.
Dynamic Compressor Optimization in Natural Gas Pipeline Systems

The growing dependence of electric power systems on gas-fired generators to balance fluctuating and intermittent production by renewable energy sources has increased the variation and volume of flows withdrawn from natural gas transmission pipelines. Adapting pipeline operations to maintain efficiency and security under these dynamic conditions requires optimization methods that account for substantial intraday transients and can rapidly compute solutions in reaction to generator re-dispatch. Here, we present a computationally efficient method for minimizing gas compression costs under dynamic conditions where deliveries to customers are described by time-dependent mass flows. The optimization method uses a simplified representation of gas flow physics, provides a choice of discretization schemes in time and space, and exploits a two-stage approach to minimize energy costs and ensure smooth and physically meaningful solutions. The resulting large-scale NLPs are solved using an interior point method. The o.
Comparison between Neutralization Capacity of Antibodies Elicited by COVID-19 Natural Infection and Vaccination in Indonesia: A Prospective Cohort

Background: To fight the COVID-19 pandemic, immunity against SARS-CoV-2 should be achieved not only through natural infection but also by vaccination. The effect of COVID-19 vaccination on previously infected persons is debatable. Methods: A prospective cohort was undergone to collect sera from unvaccinated survivors and vaccinated persons—with and without COVID-19 pre-infection. The sera were analyzed for the anti-receptor binding domain (RBD) titers by ELISA and for the capacity to neutralize the pseudovirus of the Wuhan-Hu-1 strain by luciferase assays. Results: Neither the antibody titers nor the neutralization capacity was significantly different between the three groups. However, the correlation between the antibody titers and the percentage of viral neutralization derived from sera of unvaccinated survivors was higher than that from vaccinated persons with pre-infection and vaccinated naïve individuals (Spearman correlation coefficient (r) = −0.8558; 95% CI, −0.9259 to −0.7288), p < 0.0001 vs. −0.7855; 95% CI, −0.8877 to −0.6096, p < 0.0001 and −0.581; 95% CI, −0.7679 to −0.3028, p = 0.0002, respectively), indicating the capacity to neutralize the virus is most superior by infection alone. Conclusions: Vaccines induce anti-RBD titers as high as the natural infection with lower neutralization capacity, and it does not boost immunity in pre-infected persons.
Essays on the Ethiopian Agriculture

Improving agricultural productivity, agricultural commercialization and improving the livelihoods of the population are the main challenges in the Sub-Saharan Africa region where the majority of the population are poor and live in rural areas. Several factors including lack of improved farming practices, poor infrastructure, low level of market integration to the world market and within countries, climate change, and inadequate policy support restrained the performance of the agricultural sector in the region. This thesis consists of four chapters, three empirical and one theoretical chapter. Each of the empirical chapters deals with selected topics pertinent to the agriculture sector in Ethiopia. The theoretical chapter reviews the agricultural policies adopted by the existing government and implemented over the past two decades. After the introductory chapter, the second chapter analyzes the impacts of climate change on crop yields and yield vari-ability in Ethiopia. The impacts of climate change appear to be different across crops and regions. However, the future crop yield levels largely depend on future technological development in farming practices. The third chapter aims to understand the extent of price transmissions from the world markets to domestic grain markets, and the extent of market integration in domestic grain markets. The fourth chapter investigates and compares the volatilities of oilseeds prices in the world and domestic markets. The data used in the second, third and fourth chapters are obtained from various secondary sources. The fifth chapter reviews major agricultural policies implemented over the last two decades and identifies policies that either enhanced the growth of the agricultural sector or holding back its performance. The sixth chapter underlines the main conclusions and indicates future research areas.
The Effect of Moderate-Intensity Physical Exercise on Some Serum Inflammation Markers and the Immune System in Rats Fed Intermittent Fasting with a High-Fat Diet

Background and Objectives: This study aimed to investigate the impact of moderate-intensity physical exercise on serum inflammation markers and the immune system in rats that were fed a high-fat diet (HFD) with intermittent fasting. Materials and Methods: A total of 48 Wistar albino male rats were included in the study and divided into eight groups, each consisting of six rats. Group 1 served as the control group (CG), receiving a standard diet. Group 2 followed the standard nutrition program with intermittent fasting (CG + IF). Group 3 underwent exercise with a standard diet (CG + E). Group 4 underwent both a standard diet with intermittent fasting and exercise (CG + IF + E). Group 5 was fed a high-fat diet (HFD). Group 6 received a high-fat diet with intermittent fasting (HFD + IF). Group 7 followed a high-fat diet with exercise (HFD + E). Group 8 underwent both a high-fat diet with intermittent fasting and exercise (HFD + IF + E). The study lasted for 8 weeks. Results: The results of the analysis show that lymphocyte cell levels in groups HFD + IF, HFD + IF, and HFD + IF + E were higher compared to groups CG-HFD (p < 0.05). Additionally, B lymphocyte and monocyte cell levels were higher in group HFD + IF + E compared to groups CG, CG + IF, and CG + IF + E, as well as CG, CG + IF, and CG + E, respectively. TNF-α levels were significantly higher in group HFD compared to the other groups. Furthermore, IL 10 levels were higher in group HFD + IF + E compared to the other groups. Conclusions: These findings indicate that moderate exercise and intermittent fasting, particularly in groups fed a high-fat diet, increased anti-inflammatory cytokine levels, and certain immune system cell counts, while decreasing pro-inflammatory cytokine levels.
First-year Secondary Students’ Perceptions of the Impact of iPad Use on Their Learning in a BYOD Secondary International School

This study uses a statistical survey over three consecutive years to show how the first-year students of a mid-sized Bring Your Own Device (BYOD) secondary international school perceive the impact of using their own iPad on their learning. The students’ perceptions show awareness of the usefulness and challenges associated with using their iPads in school life as well as at home. The students indicate several perceived benefits relating to having instant access to a variety of learning opportunities via the internet. However, they also indicate the challenges of keeping a balanced approach and avoiding overuse of their iPads inside and outside school (e.g., for gaming and social media). The original rationale for implementing the BYOD scheme did not anticipate specific benefits for students’ academic outcomes (grades). However, academic performance has continued to be monitored to identify any adverse effects associated with the scheme. Students’ overall academic performance has not been adversely affected since the scheme was implemented.
Computer-aided Diagnosis of Polyp Classification Using Scale Invariant Features and Extreme Gradient Boosting

Aims: Analysis of colonoscopy images is an important diagnostic procedure in the identification of colorectal cancer. It has been observed that owing to advancements in technology, numerous machine-learning models now excel in the analysis of colorectal polyps classification. This work focused on developing a framework that can classify polyps using images during colonoscopy. Materials and Methods: First, the images were corrected by removing their spectral reflection. Second, feature pools were obtained by applying Radon transform (θ=45, 90, 135, and 180). From the Radon transform, fractal dimension was calculated as a feature vector combined with Zernike moment obtained from the Zernike features. Finally, Extreme Gradient Boosting (XGBoost) algorithm was applied for the classification and to compare it with state-of-the-art methods. Results: The experimental results obtained with the proposed framework have been reported, cross-validated, and discussed. The proposed method gives a classification accuracy of 93% for light XGBoost and 92% for XGBoost. Conclusion: This study shows that by applying scale invariant features over a small dataset, XGBoost outperforms state-of-the-art methods when it comes to polyp classification.
Microearthquake study of the broader Thessaloniki area (Northern Greece)

A temporary network of twelve portable digital seismological stations was operated around the city of Thessaloniki (Northern Greece) for a period of 19 months (from July 2001 to April 2002 and from October 2002 to August 2003), providing data that enabled the study of the interconnection between microseismicity and active tectonics in the area. During the operation period 277 microearthquakes that were recorded in more than four stations were accurately located and 64 fault plane solutions were determined. Seismic activity is associated with ENE-WSW, E-W and ESE-WNW striking normal faults and is nearly confined to the first 15 km, thus defining the seismogenic layer in the study area. The mean orientation of the axis of maximum extension (T-axis) is NS to NNE-SSW, determined from fault plane solutions, in agreement with the regional extensional stress pattern, which strikes perpendicular to the orientation of the main WNW-ESE active faults of the area.