Pairwise Comparisons Research Articles

Racial Composition of Social Environments Over the Life Course Using the Pictorial Racial Composition Measure: Development and Validation Study.

Studies investigating the impact of racial segregation on health have reported mixed findings and tended to focus on the racial composition of neighborhoods. These studies use varying racial composition measures, such as census data or investigator-adapted questions, which are currently limited to assessing one dimension of neighborhood racial composition. This study aims to develop and validate a novel racial segregation measure, the Pictorial Racial Composition Measure (PRCM). The PRCM is a 10-item questionnaire of pictures representing social environments across adolescence and adulthood: neighborhoods and blocks (adolescent and current), schools and classrooms (junior high and high school), workplace, and place of worship. Cognitive interviews (n=13) and surveys (N=549) were administered to medically underserved patients at a primary care clinic at the Barnes-Jewish Hospital. Development of the PRCM occurred across pilot and main phases. For each social environment and survey phase (pilot and main), we computed positive versus negative pairwise comparisons: mostly Black versus all other categories, half Black versus all other categories, and mostly White versus all other categories. We calculated the following validity metrics for each pairwise comparison: sensitivity, specificity, correct classification rate, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, false positive rate, and false negative rate. For each social environment, the mostly Black and mostly White dichotomizations generated better validity metrics relative to the half Black dichotomization. Across all 10 social environments in the pilot and main phases, mostly Black and mostly White dichotomizations exhibited a moderate-to-high sensitivity, specificity, correct classification rate, positive predictive value, and negative predictive value. The positive likelihood ratio values were >1, and the negative likelihood ratio values were close to 0. The false positive and negative rates were low to moderate. These findings support that using either the mostly Black versus other categories or the mostly White versus other categories dichotomizations may provide accurate and reliable measures of racial composition across the 10 social environments. The PRCM can serve as a uniform measure across disciplines, capture multiple social environments over the life course, and be administered during one study visit. The PRCM also provides an added window into understanding how structural racism has impacted minoritized communities and may inform equitable intervention and prevention efforts to improve lives.

Draft genome sequence of multidrug resistant Proteus mirabilis strain MAD23

Genome sequencing became one of the important tools for diagnosis of microorganisms. Proteus mirabilis is an enteric Gramnegative bacterium causes gastrointestinal and urinary tract infections in human and animals. Here, the draft sequencing of Proteus mirabilis (MAD23) strain was performed. The strain was collected from Chinese duck cecum suffering from diarrhea. Bacteria was identified by biochemical tests and characteristic swarming pattern on the plate. Antimicrobial susceptibility test was performed by VITEC-2 MS system. Also, draft genome sequencing was conducted using the Illumina platform NovaSeq sequencer. The genome is about 3,729,695 bp long, GC content is of 38.9%., number of contigs is 123, largest contig is 137547pb, smallest contig is 513, total of protein-coding sequences (CDSs) is 3410, and number of RNA genes is 72. Genome Pairwise comparisons of Proteus mirabilis MAD23 with other vs. type strain was detected based on is DDH, GC content, δ- value, genome size and number of proteins. Neighbour-Joining phylogenetic trees show relationship between Proteus mirabilis MAD23 and the close strains of Proteus species based on 16S rRNA sequences. In addition, analysis of the sequence reveals presence of many antibiotic resistance genes as dfrA1, sul2, dfrA32, aadA2b, aph(3’)-Ia, aadA1, aph(6)-Id, aph(3’’)-Ib, ere(A), aadA1, aadA2b, tet(J), tet(C), floR, and Cat genes.These genes encoding the resistance to different antibiotics including Aminoglycosides, Macrolides, Aminocyclitol, Tetracycline and Amphenicol. This work is considered as an important study can help in more understanding of WGS in Proteus spp. and recognize the genes that related to antibiotic resistance in this pathogen.

Clinical characteristics and treatment approach of established New-Onset status epilepticus (eNOSE): A Real-World multicenter experience

IntroductionStatus Epilepticus (SE) can occur in patients without a previous epilepsy diagnosis, a condition identified as “new-onset status epilepticus” (NOSE). Treatment with benzodiazepine may fail in NOSE termination, requiring anti-seizure medication (ASM) employment. The term “established NOSE” (eNOSE) is generally employed in this context. This study aims to describe the main clinical characteristics of a large sample of patients suffering from eNOSE, compare the ASM efficacy, and explore the risk factors associated with ASM treatment unresponsiveness and eNOSE-associated mortality. MethodsAdult patients diagnosed with eNOSE were retrospectively selected between January 2016 and December 2022. We reviewed demographics, clinical data, diagnostic work-up, and treatment. We considered the last ASM introduced before the eNOSE termination as effective. Results123 patients were included (age: 67.9 ± 17.3). eNOSE acute etiology was mostly reported. In the overall cohort, phenytoin showed the highest response rate (p = 0.01). In the pairwise comparisons, valproate was superior to levetiracetam (p = 0.02) but not to lacosamide (p = 0.50). Phenytoin had a significantly higher resolution rate than levetiracetam (p = 0.001) but not lacosamide (p = 0.14). Thirty patients were refractory to ASM treatment. No predictors of refractoriness were identified. Thirty-nine patients died. Age and GCS were identified as eNOSE-related mortality risk factors. ConclusioneNOSE frequently has an acute etiology with several associated syndromes. Phenytoin is more effective in managing eNOSE, even though lacosamide, valproate, and levetiracetam can represent further therapeutic options. Age and GCS are the main risk factors for eNOSE-associated mortality.

Public value judgments about the criteria for reimbursement of medicines in South Korea

ABSTRACT Objectives This study quantified the public value (PV) of the criteria and sub-criteria in the current drug reimbursement systems in South Korea and examined sociodemographic factors that associated with PV. Methods The Analytic Hierarchy Process (AHP) was used to quantify the PVs of criteria and sub-criteria. We developed a questionnaire to generate pairwise comparison matrices among criteria and sub-criteria. From 27 March to 1 April 2023, we recruited 1,000 study participants using a quota sampling method stratified by age, sex, and region based on Korean census data. Results The PVs for the criteria were highest for clinical usefulness (28.5%), followed by cost-effectiveness (27.1%), budget impact (24.3%), and reimbursement in other countries (20.1%). The sociodemographic characteristics of the participants had a significant impact on the PVs of the criteria. Willingness to pay additional premiums for national health insurance was negatively associated with PV for clinical usefulness and cost-effectiveness and positively associated with PV for reimbursement in other countries. Conclusions The public prioritized clinical usefulness and cost-effectiveness as the main criteria. However, the PVs of the criteria were divergent and associated with sociodemographic factors. Divergent public interests require an evidence-informed deliberative process for reimbursement decisions.

Morphological Measurement and Clinical Significance of Abnormal Development of Distal Femur with Hemophilia Knee Arthritis: A Consideration on the Renewal of Total Knee Prosthesis.

The knee joint of hemophiliacs may face the result of local morphological changes due to long-term irritation of synovitis. This study aims to elucidate the morphological characteristics of distal femur in hemophilic arthritis (HA) and compare the compatibility of three types of prostheses with the anteroposterior (AP) and mediolateral (ML) dimensions of the femoral osteotomy surface. This study retrospectively and randomly selected 50 patients with HA registered for treatment at our hospital from June 2016 to August 2022 as the study subjects, with an equal number of male osteoarthritis (OA) patients and healthy male individuals set as the control group. This study used medical digitalization software to simulate osteotomies on the distal femur during total knee arthroplasties (TKA) for 50 patients with HA, OA patients, and the healthy population, respectively, and measure the morphological parameters to compare with three commonly used femoral components of TKA in clinical practice. The differences between the femur resection of anteroposterior and mediolateral (FRAP, FRML) osteotomy surface and the prosthesis's BOX-AP/ML were compared in three prostheses. One-way ANOVA and multiple Kruskal-Wallis H test were used for the normal or non-normal distribution data, and pairwise comparisons between groups were conducted using the Bonferroni method, and the linear correlation analysis was utilized to assess the relationship between section femoral morphological data and prosthesis parameters. In HA patients, the morphological characteristics of the distal femur were shown as shorter than femur AP (FAP), medial and lateral condyle anterior-posterior dimension (FMCAP, FLCAP), notch width (NW), posterolateral condyle height (PLCH), posteromedial condyle width (PMCW), and posterior condylar axis length (PCAL) dimension. They had comparatively smaller femur section aspect ratios (p < 0.005). They showed longer posterolateral condyle width (PLCW), anterior condyle mediolateral dimension (FRACML), anterolateral condyle height (ALCH), and femur resection anterior condylar mediolateral (FRACML) dimension (p < 0.005). They showed larger distal femur aspect ratio and resection aspect ratio (FAR, FRAR, p < 0.005). All selected prostheses showed ML undercoverage under similar AP dimensions, and ML undersizing of Attune systems was more obvious in three femoral prostheses. The distal femur morphological change of HA patient is shown as smaller AP dimension, narrow posterior condyle spacing, lower and shallower trochlear, thinner anterior condyle, wider and lower intercondylar notch and higher posterior-lateral condyle. The selected prostheses showed ML undercoverage under similar AP dimensions. This typical morphological tendency of the distal femur seems to warrant consideration in the process of knee joint prosthesis upgrading.

Far Cortical Locking Versus Standard Constructs for Locked Plate Fixation in the Treatment of Acute, Displaced Fractures of the Distal Femur

Background: Fixation of distal femoral fractures remains a challenge, and nonunions are common with standard constructs. Far cortical locking (FCL) constructs have been purported to lead to improved fracture-healing as compared with that achieved with traditional locking bridge plates. We sought to test this hypothesis in a comparative effectiveness clinical trial. Methods: This randomized trial was performed across 16 centers and included adult patients with an AO/OTA type 33A or 33C distal femoral fracture that was suitable for bridging fixation. We excluded patients with periprosthetic fractures. Participants were randomly assigned to either FCL fixation or standard locking plate fixation. The primary outcome was a hierarchical composite of radiographic and clinical fracture-healing at 3 months after fixation. We estimated between-group differences with use of the win ratio approach. Secondary outcomes included radiographic healing, clinical fracture-healing, complications, reoperations, and health-related quality of life (Short Form-36 Health Survey Version 2 [SF-36] Physical Component Summary and Mental Component Summary scores) at 3, 6, and 12 months after fixation. Results: We randomly assigned 193 patients to treatment with either FCL screws (96 patients) or standard screws (97 patients). The study population had a mean age of 63.4 years, consisted predominantly of women (68%), and was well-balanced between AO/OTA 33A and 33C fractures. Based on 4,355 pairwise comparisons, the calculated win ratio was 1.18 (95% confidence interval [CI], 0.77 to 1.79; p = 0.45), indicating that patients assigned to FCL screws had better outcomes in 51% of the comparisons. Radiographic healing did not differ significantly between the groups (odds ratio, 1.36; 95% CI, 0.69 to 2.72; p = 0.38), nor did Function IndeX for Trauma (FIX-IT) scores (p = 0.41). There were no significant differences between the groups in terms of SF-36 Physical Component Summary scores at 3 months or in the change in scores at 12 months after fixation. Conclusions: In this multicenter randomized trial of adult patients with an AO/OTA type 33A or 33C distal femoral fracture, similar clinical and radiographic healing outcomes were observed in the FCL and standard fixation groups. Level of Evidence: Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.

A spectral approach for the dynamic Bradley–Terry model

SummaryThe dynamic ranking, due to its increasing importance in many applications, is becoming crucial, especially with the collection of voluminous time‐dependent data. One such application is sports statistics, where dynamic ranking aids in forecasting the performance of competitive teams, drawing on historical and current data. Despite its usefulness, predicting and inferring rankings pose challenges in environments necessitating time‐dependent modelling. This paper introduces a spectral ranker called Kernel Rank Centrality, designed to rank items based on pairwise comparisons over time. The ranker operates via kernel smoothing in the Bradley–Terry model, utilising a Markov chain model. Unlike the maximum likelihood approach, the spectral ranker is nonparametric, demands fewer model assumptions and computations and allows for real‐time ranking. We establish the asymptotic distribution of the ranker by applying an innovative group inverse technique, resulting in a uniform and precise entrywise expansion. This result allows us to devise a new inferential method for predictive inference, previously unavailable in existing approaches. Our numerical examples showcase the ranker's utility in predictive accuracy and constructing an uncertainty measure for prediction, leveraging data from the National Basketball Association (NBA). The results underscore our method's potential compared with the gold standard in sports, the Arpad Elo rating system.

Measuring Temporal Trends and Patterns of Inpatient Antibiotic Use in Northwest China’s Hospitals: Data from the Center for Antibacterial Surveillance, 2012–2022

Background: The challenge of emerging antimicrobial resistance and variation in antibiotic use across provinces in China call for knowledge on antibiotic utilization at the regional level. This study aims to evaluate the long-term trends and patterns of antibiotic usage in Xinjiang Province, the largest provincial-level division located in the northwest of China, aiming to provide evidence in enhancing provincial antimicrobial stewardship (AMS) and developing policy measures to optimize regional antimicrobial use. Methods: This was an ecological study with temporal trend analysis on inpatient antibiotic utilization, with antibiotic use data from 92 public hospitals covered by Xinjiang’s Center for Antibacterial Surveillance from 2012 to 2022. Antibiotic use was measured by the number of daily defined doses per 100 patient days (DDDs/100 pds). Patterns of antibiotic use were described by Anatomical Therapeutic Chemical (ATC) subgroups and the Access, Watch, Reserve (AWaRe) classification. The Average Annual Percent Change (AAPC) of antibiotic use and the corresponding 95% confidence intervals (CIs) were calculated to describe the trend of antibiotic use over time. Joinpoint regression was performed using the Weighted Bayesian Information Criteria (WBIC) model with a parametric method. A pairwise comparison between secondary and tertiary hospitals was conducted to explore disparities in antibiotic use across hospital levels. The most commonly used antibiotics were also analyzed. Results: The total inpatient antibiotic use in Xinjiang was 27.6 DDDs/100 patient days in 2022, with a significant decreasing trend during 2012–2022 (AAPC, −2.0%; 95% CI, −3.6% to −0.4%). The Watch group antibiotics were the most used AWaRe category, with the Access-to-Watch ratio decreasing significantly from 46.4% to 24.4% (AAPC, −6.8%; 95% CI, −8.4% to −5.1%). No significant difference was found in the trend of total antibiotic use between secondary and tertiary hospitals, but there were disparities across hospital levels in subgroups. Third-generation cephalosporins, second-generation cephalosporins, and fluoroquinolones remained the top three antibiotic class throughout the study period. The number of antibiotics accounting for 90% of the total antibiotic use decreased from 34 antibiotics in 2012 to 18 antibiotics in 2022. Conclusions: The decreasing trend of inpatient antibiotic use in Xinjiang’s public hospitals reflects the effects of continuous AMS implementation. Patterns of antibiotic use underscore the need for further efforts on evidence-based antibiotic selection and for analyses on the appropriateness of antibiotic use.

Integrating oral and social factors in individual caries risk assessments in preschool children-a registry-based study.

To investigate the predictive ability of individual Caries Risk Assessments (CRA) regarding oral factors supplemented with social factors in relation to caries outcome in preschool children. Furthermore, to assess various models of CRA with oral and social factors included, aiming to identify the most suitable models for different age groups. The design is a retrospective registry-based cohort study. Children visiting the dentists at ages 3 and 6years were included. Data on oral and social factors were obtained from dental records, the Swedish Quality register for caries and periodontitis (SKaPa), and Statistics Sweden (SCB). Various models of CRA were designed, combining oral and social factors. Models were analyzed with univariable associations using simple logistic regression, and the results were presented as odds ratios (ORs). In addition, models were analyzed with area under the receiver operating characteristic (ROC) curve (AUC). Pairwise comparisons were conducted by DeLong's test, with p < 0.05 considered significant. Oral factors were the most significant for caries outcome (OR 9.6), followed by social factors: foreign background (OR 4.6), low income (OR 2.83), low education of the mother (OR 2.77), single-parent family (OR 2.11), and having ≥ 3 siblings (OR 1.71), (p < 0.01). The predictive ability of CRA improved when models combining oral and social factors were used, compaired to CRA based solely on oral factors (p < 0.05). An increase of up to 15% was seen when CRA was conducted closer to the outcome. Models for Caries Risk Assessment including oral and social factors increase the predictive ability. Caries Risk Assessment has limited durability.

Empirically measuring online social influence

Social influence pervades our everyday lives and lays the foundation for complex social phenomena, such as the spread of misinformation and the polarization of communities. A disconnect appears between psychology approaches, generally performed and tested in controlled lab experiments, and quantitative methods, which are usually data-driven and rely on network and event analysis. The former are slow, expensive to deploy, and typically do not generalize well to topical issues; the latter often oversimplify the complexities of social influence and ignore psychosocial literature. This work bridges this gap by introducing a human-in-the-loop active learning method that empirically quantifies social influence by crowdsourcing pairwise influence comparisons. We develop simulation and fitting tools, allowing us to estimate the required budget based on the design features and the worker’s decision accuracy. We perform a series of pilot studies to quantify the impact of design features on worker accuracy. We deploy our method to estimate the influence ranking of 500 X/Twitter users. We validate our measure by showing that the obtained empirical influence is tightly linked with agency and communion, the Big Two of social cognition, with agency being the most important dimension for influence formation.

First Report of Streptomyces brasiliscabiei Causing Common Scab on Potato in China.

Severe typical deep-pitted lesions of Potato Common Scab (PCS) disease were observed in two locations in China, Dingxi, Gansu Province, and Shuozhou, Shaanxi Province, in 2021. Potato farms in Dingxi growing cultivar Huangxin 226 (26 hectares) exhibited a scab disease incidence of 10%, while cultivar Jinshu 15# (4 hectares) in Shuozhou showed a disease incidence of 30% (Fig. 1). During harvest, tubers displaying PCS symptoms were collected for pathogen isolation. To obtain pathogen isolates, surface-sterilized tuber tissue with scab lesions was ground in sterile water, serially diluted, and plated onto ISP5 agar medium plates (Handique et al. 2022). Five pure colonies of Streptomyces isolate were obtained, designated as ZRIMU1503, ZRIMU1502, ZRIMU1320, ZRIMU1321and ZRIMU791. Genomic DNA was extracted and sequenced using Illumina technology. Sequencing data of the 5 isolates were uploaded to NCBI GenBank and annotated (Accession numbers: JBBAYL010000000, JBBAYM010000000, JBBAYN010000000, JBBAYO010000000 and JBBAYP010000000, respectively) using the PGAP pipeline (Tatusova et al. 2016). Average Nucleotide Identity (ANI) values (97.52 %, 97.53 %,97.54 %,97.57 % and 97.52 %, respectively) indicated the identity of the five isolates to the type strain S. brasiliscabiei IBSBF 2867T. Additionally, pairwise comparisons of Digital DNA Hybridization (DDH) value (76.2%, 76.3%, 76.4%, 76.4% and 76.2% respectively) of all the Streptomyces type strains show the highest identity to S. brasiliscabiei IBSBF 2867T. Twelve housekeeping genes (acnA, atpD, dnaN, gap, gyrA, gyrB , infB, mdh, recA, rplB, rpoB, and trpB) were extracted from the genome sequence of the five isolates to construct a multi-locus sequence analysis (MLSA) tree. The evolutionary distance of the five isolates was constructed using MEGAX software (Kumar et al., 1994), along with other Streptomyces strains that are known to cause PCS. The resulting cladogram demonstrated the isolated strains clustered together with S. brasiliscabiei IBSBF 2867T (Fig.2). Koch's postulates were fulfilled by inoculating a perlite potting mix with spore suspensions of each isolate (104 CFU/ml), planting tubers (cv. Favorita), and reproducing PCS symptoms at harvest after three months. Negative control received water treatment. The plants were kept in greenhouse with 12 h of light per day and irrigated regularly. The experiment was repeated twice, once in April 2022 and again in April 2023. On harvest, all five isolates exhibited development of severe symptoms of PCS (Fig.1), while the negative controls had no lesions. The pathogen was reisolated from the lesions and confirmed to be identical to the original isolate by 16S rRNA gene sequences. To our knowledge, this is the first report of S. brasiliscabiei causing PCS in China. S. brasiliscabiei was identified as a new species to cause PCS in Brazil and was identified based on morphology, pathogenicity, and genetic features (Corrêa et al. 2021). Multiple pathogen-causing PCS has been recognized in China and a surge of disease incidence in potato fields has been reported (Handique et al. 2022; Wu et al. 2023). S. brasiliscabiei causes severe symptoms which makes potatoes unmarketable. The disease epidemiology of this pathogen needs to be investigated.

MR Assessment of Acute Changes of Cerebral Perfusion, Metabolism, and Blood-Brain Barrier Permeability in Response to Aerobic Exercise.

It remains unclear how a single bout of exercise affects brain perfusion, oxygen metabolism, and blood-brain barrier (BBB) permeability. Addressing this unresolved issue is essential to understand the acute changes in cerebral physiology induced by aerobic exercise. To dynamically monitor the acute changes in cerebral physiology subsequent to a single aerobic exercise training session using noninvasive MRI measurements. Prospective. Twenty-three healthy participants (18-35 years, 10 females/13 males) were enrolled and divided into 10-minute exercising (N = 10) and 20-minute exercising (N = 13) groups. 3.0 T/Phase Contrast (PC) MRI (gradient echo), T2-Relaxation-Under-Spin-Tagging (TRUST) MRI (gradient echo EPI), Water-Extraction-with-Phase-Contrast-Arterial-Spin-Tagging (WEPCAST) MRI (gradient echo EPI) and T1-weighted magnetization-prepared-rapid-acquisition-of-gradient-echo (MPRAGE) (gradient echo). A baseline MR measurement plus four repeated MR measurements immediately after 10 or 20 minutes moderate running exercise. MR measurements included cerebral blood flow (CBF) as measured by PC MRI, venous oxygenation (Yv) and cerebral metabolic rate of oxygen (CMRO2) as assessed by TRUST MRI, water extraction fraction (E), and BBB permeability-surface-area product (PS) as determined by WEPCAST MRI. The time dependence of the physiological parameters was studied with a linear mixed-effect model. Additionally, pairwise t-tests comparison of the physiological parameters at each time point was conducted. A P-value of <0.05 was considered statistically significant. There was an initial drop (8.22 ± 2.60%) followed by a recovery in CBF after exercise, while Yv revealed a significant decrease (6.37 ± 0.92%), i.e., an increased oxygen extraction, and returned to baseline at later time points. CMRO2 showed a trend of increase (5.68 ± 3.04%) and a significant interaction between time and group. In addition, E increased significantly (3.86% ± 0.89) and returned to baseline level at later time points, while PS remained elevated (13.33 ± 4.79%). A single bout of moderate aerobic exercise can induce acute alterations in cerebral perfusion, metabolism, and BBB permeability. 2 TECHNICAL EFFICACY: Stage 2.

Lipidome and metabolome profiling of longissimus lumborum beef with different ultimate pH and postmortem aging

The objective of this exploratory study was to assess the changes on lipidome and metabolome profiling of Longissimus lumborum bull muscle with different ultimate pH (pHu) and aging periods. The bull muscles classified as normal, intermediate, or high pHu were collected from a Brazilian commercial slaughterhouse, cut into steaks, individually vacuum-packaged, and aged for 3 days (3-d) or 21 days (21-d) at 2 °C. Muscle extracts were analyzed for the profiles of both lipids, by mass spectrometry (via direct flow-injection), and metabolites, by nuclear magnetic resonance, with downstream multivariate data analysis. As major results, pairwise comparisons identified C12:0 and C14:0 acylcarnitines as potential biomarkers of the intermediate pHu-muscle, which are related to lipid catabolism for alternative energy metabolism and indicate less protein breakage postmortem. Interestingly, the concentration of arginine at early postmortem aging (3-d) may influence the previously reported improved tenderness in normal and high pHu-muscles. Moreover, upregulation of fumarate, formate, and acetate with increased pHu muscle at 21-d aging indicate more intense tricarboxylic acid cycle, amino acid degradation, and pyruvate oxidation by reactive oxygen species, respectively. These three compounds (fumarate, formate, and acetate) discriminated statistically the muscle with high pHu at 21-d aging. The normal pHu-muscle showed higher concentrations of glycogenolysis and glycolysis metabolites, including glucose, mannose, and pyruvate. Hence, our results enhance knowledge of postmortem biochemical changes of beef within different pHu groups aged up to 21 days, which is essential to understand the mechanisms underpinning bull meat quality changes.

Optimal site selection for electric vehicle charging stations: Analysis with hybrid FUCOM and geographic information systems

One of the biggest disadvantages of electric vehicles, which have gained popularity due to reasons such as high energy efficiency and low emissions, is the lack of sufficient charging stations and limited access to suitable charging options. For this reason, in the study, the criteria and their weights that are effective in determining the location of electric vehicle charging stations were determined using FUCOM, which reduces the number of pairwise comparisons, allows less subjective data to be used during the comparison, and provides reliable results because it checks the consistency with the mathematical model. Then, the determined criteria were used in the overlap analysis in GBS to select the most suitable sites that can be used in daily life. The data obtained were compared using the hybrid Best-Worst Method (BWM)-GIS and the Analytical Hierarchy Process (AHP)-GIS. All three hybrid methods determined that the southeast part of the European side and the southwest part of the Anatolian side were the most suitable areas. Therefore, it was seen that the hybrid FUCOM-GIS method should be preferred due to its advantages. In addition, the proposed method was compared with the current EVCS data and the suitability of the method was emphasized.

Selective opioid agonist Taphalgin® as a component of postoperative analgesia in various surgical areas: “NIKITA” observational multicenter study

Introduction. The role of peptides in antinociceptive system regulation has became a subject of interest for scientists worldwide. The first registered peptide analgesic tyrosyl-D-arginyl-phenylalanyl-glycinamide acetate which currently can be used in clinical practice was developed in Russia under the name Taphalgin® (PharmFirma “Sotex”, Russia). The effectiveness and safety of this pharmaceutical in postoperative pain management was evaluated in the all-Russia multicenter prospective observation program NICITA (Non-interventional Clinical Trial of Taphalgin ®).Aim. To analyze the effectiveness and safety of Taphalgin® in postoperative pain management in various surgical fields.Materials and methods. The observational program NICITA included 887 patients including patients with malignant tumors of various locations from 15 study centers in different Russian cities. All patients underwent surgical interventions in various anatomical areas under general, regional and combination anesthesia. The principal scheme of postoperative pain management was based on the multimodal approach which included peptide opioid agonist alongside acetaminophen, cyclooxygenase inhibitors in combination with regional anesthesia or without it. The study also included patients who underwent small-volume surgeries, and pain was managed through Taphalgin® monotherapy with subsequent switch to cyclooxygenase inhibitors. The primary endpoint of the NICITA observational program was response to therapy after the first Taphalgin® administration. Decreased pain syndrome per the numerical rating scale 15–60 min after subcutaneous injection and maintenance of analgesic effect 3 h later were considered treatment response. The secondary endpoints included mean time to analgesia start after administration of the 1st single drug dose (in min), duration of effect, types and frequency of adverse reactions including serious in the central nervous system, pulmonary system, gastrointestinal tract developed during the observational program, as well as patient and research physician satisfaction with pain management. To evaluate the significance of pain intensity change at rest and in motion in time, analysis of variance with repeat measurements was used; for pairwise comparison of two time periods, Student’s t-test for dependent samples was used. The differences were considered significant at p = 0.05.Results. Statistically significant decrease in pain intensity in the total patient group was observed 15 minutes after Taphalgin® administration; it reached its minimum 40 min after the injection (р &lt;0.05). The percentage of patients responding to analgesic therapy with Taphalgin® was 96.5 %. During administration of the drug, insignificant decrease (10–15 mmHg) in arterial blood pressure (1.7 % of cases) and vertigo (1 % of cases) were observed. In some patients, several adverse reactions were observed. Satisfaction with analgesic effect of Taphalgin® was relatively high both in patients and research physicians.Conclusion. Taphalgin® has pronounced analgesic effect and is effective for pain management after surgical interventions of various volumes and injury level. The use of this drug is associated with low rate of adverse reactions and absence of pulmonary depression characterizing opioid agonists. Therefore, Taphalgin® can be recommended for clinical use for postoperative pain management after various types of surgical interventions.

Algebraic analysis of pairwise comparisons with non-reciprocal property

The law of comparative judgement usually implies the reciprocal property of pairwise comparisons. But time error and position preference could yield some judgements that contradict this identity assumption. This paper proposes an algebraic approach to dealing with the challenge of non-reciprocal property in pairwise comparisons. The concept of non-reciprocal pairwise comparison matrix (NrPCM) is used to characterize the situation of non-reciprocal property. Algebraic analysis of NrPCMs is carried out, where a linear space is constructed by proposing a set of basis. Then the linear space is decomposed into the direct sum of some subspaces. The properties of the space are analyzed such as inner product, decomposition and coordinate. Finally, we apply the algebraic method to investigate the Condorcet paradox under the impact of indifferent voters. A novel transformation formula of non-reciprocal pairwise comparisons is proposed, where the non-reciprocal property holds. It is revealed that the occurrence of voting paradox can be understood clearly according to the transitivity property of NrPCMs.

Evaluation of thickness of individual macular retinal layers in diabetic eyes from optical coherence tomography

The effect of diabetes mellitus (DM) on individual retinal layers remains incompletely understood. We evaluated the intra-retinal layer thickness alterations in 71 DM eyes with no diabetic retinopathy (DR), 90 with mild DR, and 63 with moderate DR without macular edema, using spectral-domain optical coherence tomography (SD-OCT) and the Iowa Reference Algorithm for automated retinal layer segmentation. The average thickness of 10 intra-retinal layers was then corrected for ocular magnification using axial length measurements, and pairwise comparisons were made using multivariable linear regression models adjusted for gender and race. In DM no DR eyes, significant thinning was evident in the ganglion cell layer (GCL; p < 0.001), inner nuclear layer (INL; p = 0.001), and retinal pigment epithelium (RPE; p = 0.014) compared to normal eyes. Additionally, mild DR eyes exhibited a thinner inner plexiform layer (IPL; p = 0.008) than DM no DR eyes. Conversely, moderate DR eyes displayed thickening in the INL, outer nuclear layer, IPL, and retinal nerve fiber layer (all p ≤ 0.002), with notably worse vision. These findings highlight distinctive patterns: early diabetic eyes experience thinning in specific retinal layers, while moderate DR eyes exhibit thickening of certain layers and slightly compromised visual acuity, despite the absence of macular edema. Understanding these structural changes is crucial for comprehending diabetic eye complications.

PhyloBARCODER: A Web Tool for Phylogenetic Classification of Eukaryote Metabarcodes Using Custom Reference Databases.

We developed phyloBARCODER (https://github.com/jun-inoue/phyloBARCODER), a new web tool that can identify short DNA sequences to the species level using metabarcoding. phyloBARCODER estimates phylogenetic trees based on the uploaded anonymous DNA sequences and reference sequences from databases. Without such phylogenetic contexts, alternative, similarity-based methods independently identify species names and anonymous sequences of the same group by pairwise comparisons between queries and database sequences, with the caveat that they must match exactly or very closely. By putting metabarcoding sequences into a phylogenetic context, phyloBARCODER accurately identifies (i) species or classification of query sequences and (ii) anonymous sequences associated with the same species or even with populations of query sequences, with clear and accurate explanations. Version 1 of phyloBARCODER stores a database comprising all eukaryotic mitochondrial gene sequences. Moreover, by uploading their own databases, phyloBARCODER users can conduct species identification specialized for sequences obtained from a local geographic region or those of nonmitochondrial genes, e.g. ITS or rbcL.

From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine learning (ML) model and then fed to an extended susceptible-infected-recovered model to forecast the number of infected cases. Testing only one ML model, that is, gradient boosting model (GBM), the work left open whether other ML models would perform better. Here, we compared GBMs, linear regressions, k-nearest neighbors, and Bayesian networks (BNs) in forecasting the number of COVID-19-infected cases in the United States and Canadian provinces based on policy indices of future 35 days. There was no significant difference in the mean absolute percentage errors of these ML models over the combined dataset []. In two provinces, a significant difference was observed [], yet posthoc tests revealed no significant difference in pairwise comparisons. Nevertheless, BNs significantly outperformed the other models in most of the training datasets. The results put forward that the ML models have equal forecasting power overall, and BNs are best for data-fitting applications.

Discordances in patients' and physicians' perspectives on which contextual factors should be accounted for during smoking cessation.

Smoking cessation interventions requires attending to the circumstances and needs of individual patients. We aimed at highlighting the discordances between patients' and physicians' perspectives on contextual factors that should be considered during smoking cessation. We identified 36 contextual factors identified that should be considered during smoking cessation using PubMed and interviewing general practitioners. Physicians recruited through social networks campaigns and smoker or former smoker patients from the ComPaRe cohort selected the factors they considered most relevant in two online paired comparison experiment. Bradley Terry Luce models estimated the ability of each factor (i.e. the probability to be preferred). We calculated the Pearson's correlation and the intraclass correlation coefficients for the contextual factor from each perspective and compared the ranking of the 10 contextual factors with the highest abilities. Seven hundred and ninety-three patients' and 795 physicians' perspectives estimated the ability (i.e., importance) of the contextual factors in 11 963 paired comparisons. We found a high correlation between physicians' and patients' perspectives of the contextual factors to be considered for smoking cessation (r = 0.76, P < 0.0001). However, the agreement between the abilities of contextual factors was poor (ICC = 0.42 [-0.10; 0.75]; P = 0.09). Fine-grain analysis of participants' answers revealed many discrepancies. For example, 40% factors ranked in the top 10 most important for physicians were not in patients' top 10 ranking. Our results highlight the importance of patient-centered care, the need to engage discussions about patients' values, beyond what is thought to be important, to avoid overlooking their real context.