Complexity and complexity economics are relatively new fields of science, both of which started at the beginning of the 1980s. As it had emerged, questions have been raised regarding complexity’s applicability on human-involved systems and its predictive powers. Economics has been in the spotlight in recent years within the framework of complexity, since economics is one of the most well-established fields in social sciences. Within this framework, the field is referred to as complexity economics. While in its early years, complexity economics research had distanced itself from the reductionist neoclassic tradition of economics that has been identified by its use of, and reliance on, descriptive equations. One of the salient feature of complexity economics is its somewhat unorthodox approach to economic systems, as in its emphasis on non-equilibria. However in recent years, the proponents have become more assertive that complexity economics needs to be more modest and symbiotically co-exist with well-established mainstream economics. Although we focus on economics under the prism of complexity, our underlying interest is in the investigation of how other disciplines, such as industrial engineering and operations research, may benefit from a similar complexity-oriented perspective. Keywords: Complexity, complexity economics, mainstream economics, equation-based economics, non-equilibrium

Teaching the concepts of electrical and thermal transport in solids begins in elementary school through simple macroscopic models and progressively develops to microscopic quantum models within specialized university courses. Educational research has pointed to a number of misconceptions in this field, especially when it comes to understanding related phenomena at the microscopic level. This study aimed to design an appropriate open-ended version of the concept inventory to test the level of students’ understanding of microscopic models of electrical and thermal conduction in solids (METCS). The METCS concept inventory consists of 27 open-ended questions that examine the understanding of different and interrelated concepts. We used it as a tool for conducting interviews on a sample of ten students from the universities of Rijeka and Split (Croatia). The results of our research confirmed some previously discovered students’ misconceptions and revealed a wide range of new ones. These results can be used to stimulate student discussions and to design curricula and lecture plans for more efficient teaching of transport phenomena in solids. The obtained spectrum of misconceptions will serve as a reference tool for the development of a multiple-choice conceptual METCS test to allow research on larger sample.

Background DIALOG+ is a resource-oriented and evidence-based intervention to improve quality of life and reduce mental distress. While it has been extensively studied in mental health care, there is little evidence for how to use it in primary care settings for patients with chronic physical conditions. Considering that DIALOG+ is used in existing routine patient-clinician meetings and is very low cost, it may have the potential to help large numbers of patients with chronic physical conditions, mental distress and poor quality of life who are treated in primary care. This is particularly relevant in low- and middle-income countries (LMICs) where resources for specialised services for such patients are scarce or non-existent. Methods An exploratory non-controlled trial will be conducted to primarily assess the feasibility and acceptability and, secondarily, outcomes of delivering DIALOG+ to patients with chronic physical conditions and poor quality of life in primary care settings in Bosnia and Herzegovina, Colombia and Uganda. Thirty patients in each country will receive DIALOG+ up to three times in monthly meetings over a 3-month period. Feasibility will be assessed by determining the extent to which the intervention is implemented as planned. Experiences will be captured in interviews and focus groups with care providers and participants to understand acceptability. Quality of life, symptoms of anxiety and depression, objective social situation and health status will be assessed at baseline and again after the three-session intervention. Discussion This study will inform our understanding of the extent to which DIALOG+ may be used in the routine care of patients with chronic physical conditions in different primary care settings. The findings of this exploratory trial can inform the design of future full randomised controlled trials of DIALOG+ in primary care settings in LMICs. Trial registration All studies were registered prospectively (on 02/12/2020 for Uganda and Bosnia and Herzegovina, and 01/12/2020 for Colombia) within the ISRCTN Registry. ISRCTN17003451 (Bosnia and Herzegovina), ISRCTN14018729 (Colombia) and ISRCTN50335796 (Uganda). Protocol version and date: v2.0; 28/07/2020 (Bosnia and Herzegovina), v0.3 02/08/2020 (Colombia) and v1.0, 05/11/2020 (Uganda).

As the PHY/MAC-layer IR-HARQ and RLC-layer ARQ error recovery procedures, adopted in LTE, may impose additional delay when their code-block retransmissions occur, the arising question is whether these significantly contribute to IP and consequently RTP packet delays, and finally degrade the overall application-layer end-to-end QoE, especially when voice is transmitted over LTE? With this regard, we propose and demonstrate a VoLTE QoS and QoE test procedure based on PHY/MAC/RLC/IP/TCP-UDP/RTP cross-layer protocol analysis and perceptual speech quality QoE measurements. We identified monotonic relationship between the paired observations: QoE and HARQ RTT, i.e. between the PESQ voice quality rating and the IP/RTP packet latency, for given BLER of the received MAC/RLC code-blocks. Specifically, we found out that, for the HARQ RTT value of about 8 ms, only up to 2 HARQ retransmissions (and consequently no RLC-ARQ one) is appropriate during any voice packet, otherwise delay accumulation might not be accordingly “smoothed out” by jitter/playback buffers along the propagation path.

Background: Women bear a heavier burden of the consequences related to prescription opioid use compared to their male counterparts; however, there has been little attention in the literature regarding prescription opioid use among women. We aimed to examine risk factors for prescription opioid use among women. Methods: Demographics, health status, and substance use data, including prescription opioid use, were collected through a community engagement program, HealthStreet, during a health needs assessment. Women older than 18 years were classified by opioid use: past 30-day, lifetime, but not past 30-day, or no lifetime prescription opioid use. Descriptive statistics and chi-square tests were calculated, and multinomial logistic regression was used to calculate adjusted odds ratios (aORs; confidence interval [CI]). Results: Among 5,549 women assessed, 15% reported past 30-day use and 41% reported lifetime use of prescription opioids. While prescription sedative use was the strongest risk factor for past 30-day use among younger women (aOR = 4.84; 95% CI, 3.59–6.51), past 6-month doctor visits was the strongest risk factor for past 30-day use among older women (aOR = 4.15; 95% CI, 2.62–6.60). Conclusions: We found higher rates of prescription opioid use in this community sample of women compared to national rates. Risk factors for recent prescription opioid use (past 30-day use) differed among older and younger women. Clinicians should be more vigilant about prescribing opioids as the medical profile for women may change through age, especially the co-prescribing of opioids and sedatives.

Due to the massive use of wireless Internet of Things (IoT), the advent of multimedia-big-data in recent decades poses numerous obstacles for successful contact with the virtual era. Mobile Adhoc Network-based IoT (MANET IoT) framework is increasingly common in this regard owing to its increased communication protocols and economic efficiency. MANET comprises arbitrary, battery-driven, roaming nodes that do not have architecture that can handle the traffic and control the IoT network. In MANET-IoT, energy usage and traffic management for the handling of MBD information are significant issues. For rapid and precise response, it is essential to route or forward information like the locations of happenings and defected in a disaster. However, it is difficult to transfer this information to the Wireless Sensor Network in disaster areas because the current networks are a disaster that has been removed. In these situations, the transmission of opportunistic knowledge may play a vital role. Current opportunistic protocols need large messages for the restoration of the cluster that leads to more energy consumption and packet loss. To overcome these issues, this work proposes the reliable, energy-efficient opportunistic protocol known as Opportunistic Density Clustering Routing Protocol. This method sends information opportunistically in emergencies and disasters through a density-clustering protocol. Results from simulations demonstrate that the designed protocol exceeds several well-known current routing mechanisms for network energy usage and dissemination of information.

Linguistic racism explores the varied ideologies that may generate and endorse monolingual, native, and normative language practices, while reinforcing the discrimination and injustice directed towards language users whose language and communicative repertoires are not necessarily perceived as standard and normal. This article, thus, investigates linguistic racism, as a form of existing, but newly defined, racism against unconventional ethnic language practices experienced by Eastern-European immigrant women in the Australian workplace. Our ethnographic study shows that, once these women directly or subtly exhibit their non-nativism, through a limited encounter with local expressions, non-native language skills, and ethnic accents, they become victims of covert and overt linguistic racism in the form of social exclusion, mockery, mimicking, and malicious sarcasm in the hierarchical power environment of the workplace. As a result, these migrants can suffer from long-lasting psychological trauma and distress, emotional hurdles, loss of credibility, and language-based inferiority complexes. We, as researchers, need to highlight the importance of combatting workplace linguistic racism and revealing language realities of underprivileged communities. In that way, we can assist them in adapting to host societies and help them regain some degree of power equality in their institutional environments.

This paper presents a fully-integrated optical sensor IC with SPAD, quenching/resetting circuit, and novel sensing stage based on a tunable-threshold inverter optimized for 0.35-μm high-voltage CMOS technology. The presented quencher features a controllable excess bias voltage and an adjustable total dead time. The excess bias voltage ranges from 10 V to a maximum of 22 V. The dead time ranges from 8 ns to 50 ns, which corresponds to a saturation count rate range from 20 Mcps to 125 Mcps. The quencher is optimized for the SPAD with a capacitance of 150 fF in the HV CMOS technology used. Using our recently published photon detection probability (PDP) model and fitting it to measured results up to a PDP of 68.8% at 9.9 V excess bias from our previous tapeout, a peak PDP of 90.1% (saturation PDP) at 650 nm for VEX=17.9 V is estimated and a PDP over 50% at 850 nm comes into reach for the same excess bias voltage. To the authors’ best knowledge, PDP saturation has never been reached before for an integrated SPAD.

Ozark hellbenders (Cryptobranchus alleganiensis bishopi) have undergone marked population declines across their entire distribution. A variety of ecological life history research has been conducted to determine the cause(s) of the declines. Historically, hellbender diet studies used stomach content examination methods; however, alternative approaches such as less intrusive stable isotope analyses are now options for researchers. The goals of our study were to conduct stable isotope analysis on live and formalin-preserved museum specimen Ozark hellbender tissues to identify diet composition in the Eleven Point and Spring rivers, Arkansas. Also, we used stable isotope analysis to investigate if Spring River hellbender diets have changed over time. We sampled fish, live hellbenders (non-destructively), and formalin-preserved hellbender tissues from museum collections for stable isotope analysis. We sampled crayfish for assemblage composition and stable isotope analysis. The results of our stable isotope study revealed three main findings: (1) there were no statistically significant differences between hellbender δ13C and δ15N values among sites and hellbender stable C and N isotopes were correlated with body length; (2) traditional δ13C versus δ15N bi-plots and trophic discrimination values did not provide complete discernment in hellbender diets; however, Bayesian MixSIAR models revealed hellbenders to be generalists, and (3) the use of δ13C and δ15N values adjusted historic formalin-fixed and ethanol preserved hellbenders matched well with current crayfish and fish stable isotope values based on Bayesian MixSIAR models. These findings provide important diet information and a possible tool to examine dietary patterns from preserved specimens that may be used for hellbender conservation and management.

The advantages of microwave technology over conventionally conducted experiments are numerous. Some of them are reduction in reaction time, a higher degree of process control, repeatability, and work safety. Microwave synthesis routes require a complete description of the experimental details, instrumentation, and design program of a microwave oven used in the experiments. In this work, microwave-assisted hydrothermal synthesis of hematite (α-Fe2O3) particles from 0.1 M FeCl3 solution in highly alkaline media with heating in a microwave oven at continuous microwave emission of 800 W at 150 °C, 200 °C, and 250 °C for 20 min are presented. Also, the influence of the percentage of the addition of a cationic surfactant, cetyltrimethylammonium bromide (CTAB) on the composition, size, and shape of the final product was investigated. The samples precipitated at 150 °C formed a final product consisting of goethite (α-FeOOH) and hematite particles in contrast to the those precipitated at 200 °C and 250 °C where pure hematite phase was obtained. In these synthesis routes, the CTAB caused to slow down the rate of the goethite-to-hematite transformation process at temperatures at 200 °C but did not affect the transformation at 250 °C.

Conventional magnetic resonance imaging (cMRI) in multiple sclerosis (MS) patients provides measures of focal brain damage and activity, which are fundamental for disease diagnosis, prognosis, and the evaluation of response to therapy. However, cMRI is insensitive to the damage to the microenvironment of the brain tissue and the heterogeneity of MS lesions. In contrast, the damaged tissue can be characterized by mathematical models on multishell diffusion imaging data, which measure different compartmental water diffusion. In this work, we obtained 12 diffusion measures from eight diffusion models, and we applied a deep-learning attention-based convolutional neural network (CNN) (GAMER-MRI) to select the most discriminating measures in the classification of MS lesions and the perilesional tissue by attention weights. Furthermore, we provided clinical and biological validation of the chosen metrics—and of their most discriminative combinations—by correlating their respective mean values in MS patients with the corresponding Expanded Disability Status Scale (EDSS) and the serum level of neurofilament light chain (sNfL), which are measures of disability and neuroaxonal damage. Our results show that the neurite density index from neurite orientation and dispersion density imaging (NODDI), the measures of the intra-axonal and isotropic compartments from microstructural Bayesian approach, and the measure of the intra-axonal compartment from the spherical mean technique NODDI were the most discriminating (respective attention weights were 0.12, 0.12, 0.15, and 0.13). In addition, the combination of the neurite density index from NODDI and the measures for the intra-axonal and isotropic compartments from the microstructural Bayesian approach exhibited a stronger correlation with EDSS and sNfL than the individual measures. This work demonstrates that the proposed method might be useful to select the microstructural measures that are most discriminative of focal tissue damage and that may also be combined to a unique contrast to achieve stronger correlations to clinical disability and neuroaxonal damage.

The high-energy tails of charged- and neutral-current Drell-Yan processes provide important constraints on the light quark and anti-quark parton distribution functions (PDFs) in the large-x region. At the same time, short-distance new physics effects such as those encoded by the Standard Model Effective Field Theory (SMEFT) would induce smooth distortions to the same high-energy Drell-Yan tails. In this work, we assess for the first time the interplay between PDFs and EFT effects for high-mass Drell-Yan processes at the LHC and quantify the impact that the consistent joint determination of PDFs and Wilson coefficients has on the bounds derived for the latter. We consider two well-motivated new physics scenarios: 1) electroweak oblique corrections (Ŵ,Ŷ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \hat{W},\hat{Y} $$\end{document}) and 2) four-fermion interactions potentially related to the LHCb anomalies in R(K(*)). We account for available Drell-Yan data, both from unfolded cross sections and from searches, and carry out dedicated projections for the High-Luminosity LHC. Our main finding is that, while the interplay between PDFs and EFT effects remains moderate for the current dataset, it will become a significant challenge for EFT analyses at the HL-LHC.

The rapid production of a large volume of literature during the early phase of the COVID-19 outbreak created a substantial burden for clinicians and scientists. Therefore, this manuscript aims to identify and describe the scientific literature addressing COVID-19 from a dental research perspective, in terms of the manuscript origin, research domain, study type, and level of evidence (LoE). Data were retrieved from Web of Science, Scopus, and PubMed. A descriptive analysis of bibliographic data, collaboration network, and keyword co-occurrence analysis were performed. Articles were further classified according to the field of interest, main research question, type of study, and LoE. The present study identified 296 dental scientific COVID-19 original papers, published in 89 journals, and co-authored by 1331 individuals affiliated with 429 institutions from 53 countries. Although 81.4% were single-country papers, extensive collaboration among the institutions of single countries (Italian, British, and Brazilian institutions) was observed. The main research areas were as follows: the potential use of saliva and other oral fluids as promising samples for COVID-19 testing, dental education, and guidelines for the prevention of COVID-19 transmission in dental practice. The majority of articles were narrative reviews, cross-sectional studies, and short communications. The overall LoE in the analyzed dental literature was low, with only two systematic reviews with the highest LoE I. The dental literature on the COVID-19 pandemic does not provide data relevant to the evidence-based decision-making process. Future studies with a high LoE are essential to gain precise knowledge on COVID-19 infection within the various fields of Dentistry. The published dental literature on COVID-19 consists principally of articles with a low level of scientific evidence which do not provide sufficient reliable high-quality evidence that is essential for decision making in clinical dental practice.