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In this paper, we proposed rapid laser-induced synthesis of copper micropatterns on the surface of oxide glass from deep eutectic solvents (DESs) consisting of choline chloride, citric or tartaric acid and copper acetate as copper plating solutions. It was shown that upon irradiation with continuous-wave 532-nm laser radiation, it is possible to increase the deposition rate of copper and create micropatterns with a resistance close to the value of pure metal together with high adhesion to the substrate surface. This metallization method is favorable for the practical use of copper patterns, including in production of new printable microelectronic devices. Thus, we demonstrated the possibility of copper deposition on arbitrary three-dimensional surfaces. Moreover, the resulting copper micropatterns were tested as working electrodes for non-enzymatic glucose. Finally, the proposed technology can be successfully used for design and development of sensor platforms for the electrochemical analysis and microelectronic devices

ImportanceNo clinically applicable diagnostic test exists for severe mental disorders. Lipids harbor potential as disease markers.ObjectiveTo define a reproducible profile of lipid alterations in the blood plasma of patients with schizophrenia (SCZ) independent of demographic and environmental variables and to investigate its specificity in association with other psychiatric disorders, ie, major depressive disorder (MDD) and bipolar disorder (BPD).Design, Setting, and ParticipantsThis was a multicohort case-control diagnostic analysis involving plasma samples from psychiatric patients and control individuals collected between July 17, 2009, and May 18, 2018. Study participants were recruited as consecutive and volunteer samples at multiple inpatient and outpatient mental health hospitals in Western Europe (Germany and Austria [DE-AT]), China (CN), and Russia (RU). Individuals with DSM-IV or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnoses of SCZ, MDD, BPD, or a first psychotic episode, as well as age- and sex-matched healthy controls without a mental health–related diagnosis were included in the study. Samples and data were analyzed from January 2018 to September 2020.Main Outcomes and MeasuresPlasma lipidome composition was assessed using liquid chromatography coupled with untargeted mass spectrometry.ResultsBlood lipid levels were assessed in 980 individuals (mean [SD] age, 36 [13] years; 510 male individuals [52%]) diagnosed with SCZ, BPD, MDD, or those with a first psychotic episode and in 572 controls (mean [SD] age, 34 [13] years; 323 male individuals [56%]). A total of 77 lipids were found to be significantly altered between those with SCZ (n = 436) and controls (n = 478) in all 3 sample cohorts. Alterations were consistent between cohorts (CN and RU: [Pearson correlation] r = 0.75; DE-AT and CN: r = 0.78; DE-AT and RU: r = 0.82; P −38). A lipid-based predictive model separated patients with SCZ from controls with high diagnostic ability (area under the receiver operating characteristic curve = 0.86-0.95). Lipidome alterations in BPD and MDD, assessed in 184 and 256 individuals, respectively, were found to be similar to those of SCZ (BPD: r = 0.89; MDD: r = 0.92; P −79). Assessment of detected alterations in individuals with a first psychotic episode, as well as patients with SCZ not receiving medication, demonstrated only limited association with medication restricted to particular lipids.Conclusions and RelevanceIn this study, SCZ was accompanied by a reproducible profile of plasma lipidome alterations, not associated with symptom severity, medication, and demographic and environmental variables, and largely shared with BPD and MDD. This lipid alteration signature may represent a trait marker of severe psychiatric disorders, indicating its potential to be transformed into a clinically applicable testing procedure.

We consider the problem of inductive matrix completion, i.e., the reconstruction of a matrix using side features of its rows and columns. In numerous applications, however, side information of this kind includes redundant or uninformative features, so feature selection is required. An approach based on matrix factorization with group LASSO regularization on the coefficients of the side features is proposed, which combines feature selection with matrix completion. It is proved that the theoretical sample complexity for the proposed approach is lower than for methods without sparsifying. A computationally efficient iterative procedure for simultaneous matrix completion and feature selection is proposed. Experiments on synthetic and real-world data demonstrate that, due to the feature selection procedure, the proposed approach outperforms other methods.

We developed a rapid and effective technique for fabrication of sensor-active copper-based materials on the surface of such flexible polymers as terephthalate, polyethylene naphthalate and polyimide using the method of laser surface modification. For this purpose, we optimized the polymer surface activation parameters using laser sources with a picosecond pulse duration for subsequent selective metallization within the activated region. Further, the fabricated copper structures were modified with gold nanostructures and by electrochemical passivation to produce copper-gold and oxide-containing copper species, respectively. As a result, in comparison with pure copper electrodes, these composite materials exhibit much better electrocatalytic performance concerning the non-enzymatic identification of biologically important disease markers as glucose, hydrogen peroxide and dopamine.