Introduction This article aims at investigating social engagement in the fight against the COVID-19 pandemic in low-resource settings (LRSs). In particular, it focuses on Benin (Sub-Saharan Africa), and reports the results of a field study that investigated the local people's acceptance of the vaccine and the tracking program. Methods This project is the product of a collaboration between the ABSPIE (Applied Biomedical and Signal Processing E-Health) Lab of the University of Warwick (UK) and the LAMA (Laboratoire d'Antropologie Medical Appliqué) of the University of Abomey Calavi (Benin). This international multidisciplinary collaboration brought together engineers, sociologists, anthropologists, and bioethicists. In light of the aims of the project, a qualitative methodology was deemed appropriate. The research team prepared two questionnaires that provided the basis for semi-structured interviews that took place between June and August 2021. Results The research team interviewed 34 Beninese respondents, comprising people aged 60+ (with multiple comorbidities), who were primarily healthcare workers and/or traditional therapists. The results of this work highlight the fact that there is widespread reticence about the vaccination program in Benin, both due to local beliefs and uncertainty about governmental management. In this study, we uncovered several local reasons interfering with the involvement of the population in the vaccination campaign against COVID-19, e.g., the existence of traditional medical practices considered as valid alternatives to vaccines, and many beliefs showing a fear of neo-colonialism hidden in the pandemic threat. Yet, another hindrance can be traced to shortcomings in the management of the vaccination campaign which resulted in obstacles to the implementation of the program. Conclusions This work does not intend to denounce any governmental effort or foster a regressive mindset, but shows how the overall confusion (defined by the World Health Organization as infodemic) linked to the pandemic and its management has caused even more dramatic consequences in LRSs. In addition, the paper proposes a specific framework for the interpretation and management of bioethical and biomedical issues in LRSs that the authors are validating in their current research.

For Utilities, each substation is regarded as an asset. Managing of assets is one of domains of Asset Management including Life Cycle Costing (LCC) as a decision-making criterion. However, LCC as a decision-making criterion should be applied on an entire substation taking into account all of the potential cost influences for the purpose of achieving of an effective substation management. Asset management as a decision-making process should be observed within a larger context and should be more focused on risk management, as all real decisions include an element of risk due to present uncertainties. Two promising avenues are explored in regards to more comprehensive and rigorous up-front planning through usage of Information Technology (IT). While up-front planning falls under the domain of Lean philosophy, Building Information Modeling (BIM) falls under the category of agile decision-support tools. Utilization of both is explored from a perspective of design-uncertainties under both product and process design. Standard specifications and standard designs are another form of applied Lean Philosophy that reduces design-uncertainty and variability. However, a range of technical solutions stemming out of the standardization can be quite wide. Customization involves specification and design of new / innovative designs with wide range of technical solutions as well. Due to external pressures focused on shortening of the project delivery time, there is a need for a faster project time throughput. This is reflected in the form of a requirement for more rapid engineering decision-making and faster decision cycles. Streamlining of a decision-making process related to the engineering is all about engineers’ awareness of the situation from the project level perspective coupled with utilization of decision-support tools for creation and reuse of knowledge. Plan – Do – Study – Orient (PDSO) cycle is a decision-making model that supports creation and reusability of knowledge along with providing an explanation in regards to the time dimension relating to decision-making, and as such is presented in this paper. The rigid busbar system design is an iterative process influenced by many factors, defined either as design variables or design constraints. As rigid busbars are gaining more popularity for both greenfield and brownfield investments, the rigid busbar system design is explored from a perspective of decision-making streamlining. The case of the rigid busbar system design of El Chaparral project in El Salvador is given.

Introduction: Brain MRI scans can predict neurodevelopmental outcomes in neonates treated with therapeutic hypothermia. It is a common clinical practice to perform brain MRI before discharge, but brain MRI scans performed at around four months of age have a better prognostic value for a long-term neurological outcome in asphyxiated neonates. Aim: To identify which of three selected clinical parameters (oral feeding ability, muscle tone, history of seizure) evaluated 10 days after therapeutic hypothermia could predict the primary outcome of an abnormal brain MRI. Methods: We reviewed the medical records of neonates ≥ 36 completed weeks of gestation consecutively treated with therapeutic hypothermia who underwent brain MRI. Clinical parameters on day 10 after therapeutic hypothermia were correlated with brain MRI findings in the first 7-14 days of life. Logic regression analysis was performed using all three covariates of the clinical status, with an abnormal MRI as the primary outcome. Results: Brain MRI was abnormal in 42 (51.85 %) neonates with the following distribution of brain injury patterns: abnormal signal in the basal nuclei in 6, an abnormal signal in the cortex in 16, an abnormal signal both in the cortex and basal nuclei in 20 neonates. Out of three analyzed clinical parameters, feeding difficulty (P < 0.001, OR 8.3, 95% CI 2.9 - 28.9) and a history of seizures (P < 0.001, OR 11.95, 95% CI 3 - 44.5) were significantly associated with an abnormal MRI.  Conclusion: Neonates who were capable of full oral feeding by day 10 after therapeutic hypothermia and had no history of seizures were unlikely to have an abnormal MRI. This may be used in selective planning of pre-discharge MRI in asphyxiated neonates.

Introduction: Burns, depending on the degree of severity, induce a significant pathophysiological response in the body. The complement system participates in the body's defenses as well as in immune responses after burn-induced trauma. Objectives: The main objective of the study was to examine how burn severity affects serum C3 and serum C4 complement values; whether burn severity correlates with serum C3 and C4 complement, and establish the predictive value of the serum C3 complement and serum C4 complement for assessing the severity of the burn.  Patients and methods: According to the degree of TBSA, patients were classified into three groups: group with %TBSA<15% (30 patients), group with %TBSA >15% -25% (30 patients), and group with %TBSA > 25% to 40% (30 patients). According to the depth of burns, patients were classified into two groups partial-thickness burns (39 patients) and full-thickness burns (51 patients). We followed laboratory parameters: value serum C3 complement and serum C4 complement on the first and seventh day after burn trauma. Results: Serum C3 complement was significantly lower in patients with %TBSA>25%-40% and in the group with %TBSA>15%-25% compared to patients with %TBSA<15% on the first and seventh day after burn trauma. Serum C3 complement was significantly lower in patients with %TBSA >15%-25% compared to patients with %TBSA<15% on day one and day seven after burn trauma. Serum complement C4 was not significantly different between burn groups on the first and seventh day. Full-thickness burns have significantly lower levels of serum complement C3, compared to partial-thickness burns, on the 1st and 7th day. Full-thickness burns result in a decrease in serum C4 complement compared to partial-thickness burns on the 7th day after burn trauma, but this decrease is not significant. On the 1st day after burn trauma, we found a negative correlation between %TBSA with serum C3 complement. Serum C4 complement was not correlated with %TBSA on the day 1st. Conclusions: %TBSA and depth of burn result in a significant decrease in serum C3 complement but not serum C4 complement. There is a negative correlation of %TBSA and C3 complement but not serum C4 complement on the 1st day after burn trauma. Serum C3 complement is a significant predictor of burn severity. The predictory significance of the C4 complement is not statistically significant.

Jet quenching is the process of color-charged partons losing energy via interactions with quark-gluon plasma droplets created in heavy-ion collisions. The collective expansion of such droplets is well described by viscous hydrodynamics. Similar evidence of collectivity is consistently observed in smaller collision systems, including pp and p+Pb collisions. In contrast, while jet quenching is observed in Pb+Pb collisions, no evidence has been found in these small systems to date, raising fundamental questions about the nature of the system created in these collisions. The ATLAS experiment at the Large Hadron Collider has measured the yield of charged hadrons correlated with reconstructed jets in 0.36  nb^{-1} of p+Pb and 3.6  pb^{-1} of pp collisions at 5.02 TeV. The yields of charged hadrons with p_{T}^{ch}>0.5  GeV near and opposite in azimuth to jets with p_{T}^{jet}>30 or 60 GeV, and the ratios of these yields between p+Pb and pp collisions, I_{pPb}, are reported. The collision centrality of p+Pb events is categorized by the energy deposited by forward neutrons from the struck nucleus. The I_{pPb} values are consistent with unity within a few percent for hadrons with p_{T}^{ch}>4  GeV at all centralities. These data provide new, strong constraints that preclude almost any parton energy loss in central p+Pb collisions.

The cholecystokinin-2 receptor (CCK2R) is a G protein-coupled receptor (GPCR) that is expressed in peripheral tissues and the central nervous system and constitutes a promising target for drug development in several diseases, such as gastrointestinal cancer. The search for ligands of this receptor over the past years mainly resulted in the discovery of a set of distinct synthetic small molecule chemicals. Here, we carried out a pharmacological screening of cyclotide-containing plant extracts using HEK293 cells transiently-expressing mouse CCK2R, and inositol phosphate (IP1) production as a readout. Our data demonstrated that cyclotide-enriched plant extracts from Oldenlandia affinis, Viola tricolor and Carapichea ipecacuanha activate the CCK2R as measured by the production of IP1. These findings prompted the isolation of a representative cyclotide, namely caripe 11 from C. ipecacuanha for detailed pharmacological analysis. Caripe 11 is a partial agonist of the CCK2R (Emax = 71%) with a moderate potency of 8.5 µM, in comparison to the endogenous full agonist cholecystokinin-8 (CCK-8; EC50 = 11.5 nM). The partial agonism of caripe 11 is further characterized by an increase on basal activity (at low concentrations) and a dextral-shift of the potency of CCK-8 (at higher concentrations) following its co-incubation with the cyclotide. Therefore, cyclotides such as caripe 11 may be explored in the future for the design and development of cyclotide-based ligands or imaging probes targeting the CCK2R and related peptide GPCRs.

BACKGROUND Orthodontic retention is the most important factor after successful orthodontic treatment. The use of thermoplastic retainers has increased in recent years, but information is lacking about the product materials and orthodontists' awareness of the products they use. The aim of this survey was to map the retention protocols among Scandinavian orthodontists, particularly their use of thermoplastic retainers. Furthermore, the aim was to investigate their knowledge of thermoplastic materials and record any possible adverse effects. METHODS An online questionnaire was prepared, and 667 orthodontists in Norway, Sweden, and Denmark were invited to take the survey. The survey was sent to all members of the national orthodontic associations using Nettskjema in Norway and Microsoft Forms in Sweden and Denmark. Data were collected anonymously and analyzed using chi-square and correlation coefficients. RESULTS Of the 667 orthodontists, 432 (64%) responded (59% female). The most common retention protocol (51%) was fixed retainer in both maxilla and mandible and thermoplastic retainer in the maxilla. Two-thirds of the orthodontists were unaware of the thermoplastic material used, and 58% did not acquire knowledge of the materials. Only 1% of the respondents had registered adverse reactions to thermoplastic retainers, and none were aware of the type of material that was used. CONCLUSIONS Scandinavian orthodontists use similar retention protocols, with the most common being fixed retainer in the mandible and dual retention, fixed, and thermoplastic retainer in the maxilla. Orthodontists' knowledge about thermoplastic materials was insufficient, but adverse effects related to thermoplastic retainer use were rare.

Background: Lipids and lipoproteins are significantly involved in maintaining structural and functional components of the human brain and neurons, but their role in the development of Alzheimer’s disease (AD) and vascular dementia (VD) remains unclear. Objective: The aim of the present study was to explore the differences in the standard and novel lipid profile parameters in patients with AD and VD, stratified by the degree of cognitive impairment (CI). Methods: Present study included 66 patients with AD, 50 patients with VD, and 60 control subjects. For an evaluation of the global cognitive function the Montreal Cognitive Assessment (MoCA) test was used. In order to distinguish patients with VD from those with AD the Hachinski ischemic score was used. Plasma total cholesterol (TC), high-density lipoprotein -cholesterol (HDL-C), and triglycerides (TG) levels were determined using standard enzymatic colorimetric techniques, whereas the Friedewald formula was used to calculate low-density lipoprotein-cholesterol (LDL-C) levels. The non-traditional lipid indices such as TG/HDL-C, TC/HDL-C, and LDL-C/HDL-C ratio were separately calculated. The differences between the groups were analyzed with the Kruskal Wallis test followed by the Mann-Whitney test or with ANOVA followed by the Tuckey posthoc test. Results: Results of the conducted study have found that the patients in AD group with moderate CI and patients in AD group with severe CI exhibited significantly lower levels of serum TC, TG, LDL-C, VLDL-C, Non- HDL-C, atherogenic index, TG/HDL-C, TC/HDL-C and LDL-C/HDL-C compared to cognitively normal control subjects. Moreover, patients in VD group with severe and moderate CI had significantly lower level of TG compared to control group of subjects. Our results have also shown that patients in AD group with moderate CI had significantly lower level of TC, TG, LDL-C, Non-HDL-C, atherogenic index, TG/HDL-C, TC/HDL-C compared to VD patients with moderate CI. In addition, patients in AD group with severe CI had significantly lower level of TC, LDL-C, Non-HDL-C and TC/HDL-C compared to VD patients with severe CI. Conclusion: The results of this study have shown dysregulation of lipid metabolism in AD and VD patients with different degree of CI. In both moderate and in severe CI, patients with AD had lower levels of majority of standard and novel lipid parameters compared to patients with VD. Further larger prospective studies are required to elucidate the accuracy of standard and novel lipid parameters in the assessment of different degree of CI in AD and VD.

Neural Combinatorial Optimization approaches have recently leveraged the expressiveness and flexibility of deep neural networks to learn efficient heuristics for hard Combinatorial Optimization (CO) problems. However, most of the current methods lack generalization: for a given CO problem, heuristics which are trained on instances with certain characteristics underperform when tested on instances with different characteristics. While some previous works have focused on varying the training instances properties, we postulate that a one-size-fit-all model is out of reach. Instead, we formalize solving a CO problem over a given instance distribution as a separate learning task and investigate meta-learning techniques to learn a model on a variety of tasks, in order to optimize its capacity to adapt to new tasks. Through extensive experiments, on two CO problems, using both synthetic and realistic instances, we show that our proposed meta-learning approach significantly improves the generalization of two state-of-the-art models.

The Western Balkan region (WB) small and medium enterprises (SMEs) lag behind the EU-28 counterparts in their export activities. The positive influence of the Enterprise Europe Network (EEN) on local business support organisations and the local businesses is identified as a contributing factor to that improvement. To investigate the EEN's role in the export of the WB SMEs in the period 2014-2017, the authors used available statistical data on export from the WB countries. The survey was conducted in three phases, with the samples of 1,463, 222, and 12 companies. Analysed results of the EEN activities in the WB show that EEN had a positive influence on the firms' performance and their international activities;67% of supported firms increased their turnover, 62% increased their market share, and the EEN services had a positive impact on the jobs in 52% of the examined firms. The survey results about the expected and actual impact of the EEN services proved a positive impact of the Network on the five indicators: market improvement, cost savings, job creation or maintenance, quality improvement, and innovation. The paper contains important practical implications for the policymakers and the SME managers alike, and the implications mentioned above are generalisable.

Background: Human papillomavirus is a sexually transmitted infection and it is estimated that 75% of all women have been exposed to HPV infection in a certain period of life. High-risk types of HPV are considered to be one of the major causes of cervical cancer and its precursor intraepithelial neoplasia. Objective: The aim of this study was to investigate the degree of HPV infections and to provide more data on HPV genotype distribution among women in Bosnia and Herzegovina (B&H). Methods: Number of 375 samples were collected from different polyclinics in Sarajevo and were analyzed by Alea Genetic Center using Genomed f-HPV typing™ multiplex Fluorescent PCR kit for human papillomavirus genotyping. DNA required for this method is extracted from cervical swabs and amplified using a multiplex PCR reaction containing a set of 16 fluorescently labeled primers that recognize 16 HPV types. 14 HPV types are classified as high-risk (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68) and two are low-risk (6 and 11) HPV types. Results: Results showed that in the years 2018, 2019, and 2021, HPV type 16 is predominant causing the high-risk factor for CIN1, CIN2, CIN3, and cervical cancer development. HPV 18 infection rates decreased during the last four years of study. HPV 6 infection rates increased during that period of time. Conclusion: HPV 16 and HPV 18 are almost completely preventable by vaccination implying that the number of diagnosed cervical cancers in B&H could be much lower in the next decades if the HPV vaccination routine immunization program starts soon.