Transportation planning and solutions have an enormous impact on city life. To minimize the transport duration, urban planners should understand and elaborate the mobility of a city. Thus, researchers look toward monitoring people’s daily activities including transportation types and duration by taking advantage of individual’s smartphones. This paper introduces a novel segment-based transport mode detection architecture in order to improve the results of traditional classification algorithms in the literature. The proposed post-processing algorithm, namely the Healing algorithm, aims to correct the misclassification results of machine learning-based solutions. Our real-life test results show that the Healing algorithm could achieve up to 40% improvement of the classification results. As a result, the implemented mobile application could predict eight classes including stationary, walking, car, bus, tram, train, metro and ferry with a success rate of 95% thanks to the proposed multi-tier architecture and Healing algorithm.

Highlights There are limited number of studies analyzing viral load in COVID19 patients and any data that compare viral load to chest computerized tomography (CT) severity. There are limited number of studies that give the amount of SARS-CoV-2 RNA in clinical specimens by reporting cycle threshold (Ct) value for RT-PCR. The total stress score (TSS) was suggested to quantify pulmonary inflammation and correlate to the clinical classifications. TSS is a quantification method to score the severity of inflammation on CT images based on summing up degree of acute lung inflammation lesions involvement of each lobe (including ground-glass opacity or consolidation or other fuzzy interstitial opacities). To our knowledge, this is the first study that analyse TSS of chest CT and Ct values of SARS-CoV-2 RNA in both hospitalised and outpatients.

Background: Two OXA-48-producing Klebsiella pneumoniae isolates(KP-4936 and KP-154488) were analyzed. Method: Minimum inhibitory concentrations were determined using agar dilution and E-test, β-lactamase production by phenotypic tests (E-test MBL and ESBL, isoelectric focusing, and bioassay) and molecular methods (PCR, RAPD-PCR, sequencing, plasmid analysis, and conjugation). Results: Isolateswere resistant to all β-lactams, including carbapenems. PCR and sequencing identifiedbla_OXA-48in bothisolates and the transconjugant. KP-4936 harbored bla_TEM-1 (pI 5.4) and bla_CTX-M-15 genes (pI 8.6), while KP-154488 was positive for bla_TEM-1 (pI 5.4), bla_CTX-M-15 (pI 8.9), and bla_SHV2a (pI 7.6), in addition. The enzyme with a pI of 7.2 hydrolyzed imipenem according to a bioassay result. Plasmids (70 and 140 kb) from KP-4936 were transferred by conjugation. RAPD-PCR found no clonal relationship between the two strains. Conclusion: Carbapenem resistance may spread among Enterobacteriaceaevia the transferable enzyme OXA-48.

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Despite advances in psychotherapy research showing an evidence-base for psychodynamic psychotherapy (PDT) in adolescents, developmentally specific treatment characteristics are under-researched. We aimed to identify interaction structures (IS: reciprocal patterns of in-session interactions involving therapist interventions, patient behaviors, and the therapeutic relationship) and assess associations between IS and outcome. The study cohort comprised 43 adolescents (Mage = 13.02 years) with nonclinical, internalizing, and comorbid internalizing–externalizing problems in PDT. A total of 123 sessions from different treatment phases were rated based on the Adolescent Psychotherapy Q-Set (APQ). Outcome was assessed with the Brief Problem Monitor-Youth (BPM-Y) administered repeatedly over the treatment course. Principal component analysis of APQ items resulted in five IS, named “Negative Therapeutic Alliance”, “Demanding Patient, Accommodating Therapist”, “Emotionally Distant Resistant Patient”, “Inexpressive Patient, Inviting Therapist”, and “Exploratory Psychodynamic Technique” (EPT). Multilevel modeling analyses with Bayesian Markov chain Monte Carlo (MCMC) estimations indicated a two-way interaction effect between EPT and problem levels at baseline such that patients with lower problems at baseline showed good outcome in the context of EPT, whereas an inverse relationship was found for patients with higher problems. Findings provide empirical evidence for characteristic components of PDT for adolescents and preliminary answers about who benefits from psychodynamic techniques.