Flexible All-biomass Gas Sensor based on Doped Carbon Quantum Dots/nonwoven Cotton with Discriminative Function

Carbon quantum dots (CQDs) co-doped with N, P and S derived from expired milk was prepared by a simple hydrothermal method. Through the hydrogen bond interaction between CQDs and cellulose of pure cotton face towel (PCFT), CQDs were uniformly anchored on the cotton fibers to form a flexible all-biomass CQDs/PCFT sensor for the first time. Due to the heteroatom doping, extremely small particle size of CQDs and excellent permeability of CQDs/PCFT film, the flexible CQDs/PCFT sensor showed the high sensitivity and bending stability. In the range of 0 ~ 60o bending states, the responses of flexible CQDs/PCFT sensor to four target analytes changed by less 5%. Interestingly, due to the abundant functional groups and defects of CQDs, the flexible CQDs/PCFT sensor displayed sensing curves of different shapes for different target analytes. In this way, by establishing a database of sensing curves of target analytes, multiple analytes can be detected discriminatively by relying only on single sensor with the help of image recognition. In addition, the binary parameter method of response and response time was created, which also showed that a single sensor could achieve the discriminative detection. This work expanded the application of biomass CQDs and cellulose, and made a useful exploration for environment friendly flexible gas sensor.

Predictive Performance of Exposome Score for Schizophrenia in the General Population

Previously, we established an estimated exposome score for schizophrenia (ES-SCZ) as a cumulative measure of environmental liability for schizophrenia to use in gene–environment interaction studies and for risk stratification in population cohorts. Hereby, we examined the discriminative function of ES-SCZ for identifying individuals diagnosed with schizophrenia spectrum disorder in the general population by measuring the area under the receiver operating characteristic curve (AUC). Furthermore, we compared this ES-SCZ method to an environmental sum score (Esum-SCZ) and an aggregate environmental score weighted by the meta-analytical estimates (Emet-SCZ). We also estimated ORs and Nagelkerke’s R2 for ES-SCZ in association with psychiatric diagnoses and other medical outcomes. ES-SCZ showed a good discriminative function (AUC = 0.84) and statistically significantly performed better than both Esum-SCZ (AUC = 0.80) and Emet-SCZ (AUC = 0.80). At optimal cut point, ES-SCZ showed similar performance in ruling out (LR− = 0.20) and ruling in (LR+ = 3.86) schizophrenia. ES-SCZ at optimal cut point showed also a progressively greater magnitude of association with increasing psychosis risk strata. Among all clinical outcomes, ES-SCZ was associated with schizophrenia diagnosis with the highest OR (2.76, P < .001) and greatest explained variance (R2 = 14.03%), followed by bipolar disorder (OR = 2.61, P < .001, R2 = 13.01%) and suicide plan (OR = 2.44, P < .001, R2 = 12.44%). Our findings from an epidemiologically representative general population cohort demonstrate that an aggregate environmental exposure score for schizophrenia constructed using a predictive modeling approach—ES-SCZ—has the potential to improve risk prediction and stratification for research purposes and may help gain insight into the multicausal etiology of psychopathology.

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection

Nonnegative Matrix Factorization (NMF) is a significant big data analysis technique. However, standard NMF regularized by simple graph does not have discriminative function, and traditional graph models cannot accurately reflect the problem of multigeometry information between data. To solve the above problem, this paper proposed a new method called Hypergraph Regularized Discriminative Nonnegative Matrix Factorization (HDNMF), which captures intrinsic geometry by constructing hypergraphs rather than simple graphs. The introduction of the hypergraph method allows high-order relationships between samples to be considered, and the introduction of label information enables the method to have discriminative effect. Both the hypergraph Laplace and the discriminative label information are utilized together to learn the projection matrix in the standard method. In addition, we offered a corresponding multiplication update solution for the optimization. Experiments indicate that the method proposed is more effective by comparing with the earlier methods.

The Near-Miss Effect in Slot Machines: Over Half a Century Later

In games of chance, a near miss is said to occur when feedback for what is otherwise a loss approximates a win. For instance, obtaining “cherry-cherry-lemon” on a slot machine could be considered a near miss. Sixty-six years after B. F. Skinner first proposed the idea that near-miss events might be reinforcing continued play in slot machines, belief in this ‘near-miss effect’ has remained strong despite the troublesome experimental literature. The present study reviewed and experimentally assessed the near-miss effect as it pertains to the frequency of the gambling response. Experiment 1 used a tightly controlled resistance-to-extinction procedure in pigeons to evaluate the putative reinforcing effect of near misses relative to a control “far-miss” reel pattern. Experiment 2 extended Experiment 1’s procedure to human participants. The results of both experiments failed to support the near-miss effect hypothesis. Experiment 3 used a further simplified procedure to assess the validity of the resistance-to-extinction paradigm when a probable conditional reinforcer was present on the reel stimuli. Although a clear discriminative function was obtained from the reel, subsequent testing in extinction revealed no reinforcing function of this stimulus.

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning

Accelerating convolutional neural networks has recently received ever-increasing research focus. Among various approaches proposed in the literature, filter pruning has been regarded as a promising solution, which is due to its advantage in significant speedup and memory reduction of both network model and intermediate feature maps. To this end, most approaches tend to prune filters in a layer-wise fixed manner, which is incapable to dynamically recover the previously removed filter, as well as jointly optimize the pruned network across layers. In this paper, we propose a novel global & dynamic pruning (GDP) scheme to prune redundant filters for CNN acceleration. In particular, GDP first globally prunes the unsalient filters across all layers by proposing a global discriminative function based on prior knowledge of filters. Second, it dynamically updates the filter saliency all over the pruned sparse network, and then recover the mistakenly pruned filter, followed by a retraining phase to improve the model accuracy. Specially, we effectively solve the corresponding non-convex optimization problem of the proposed GDP via stochastic gradient descent with greedy alternative updating. Extensive experiments show that, comparing to the state-of-the-art filter pruning methods, the proposed approach achieves superior performance to accelerate several cutting-edge CNNs on the ILSVRC 2012 benchmark.

Suicidal and Parasuicid in Bosnia and Hercegovina

The aim of the study is to analyse the impacts of the suicidal and parasuicidal behaviour in B&H in relation to transition and structures of suicidal personalities.MethodsTwo self-destructive groups were tested in B&H in the period 01. January 1999. to 31. December 2009. The test group consists of n = 150 subjects who had suicide, and control group consists of n = 150 persons with parasuicidal behaviour. We used: GDL, EPQ, HDRS and Pluchic's test in a longitudinal study.ResultsSelf-destructivity has been increasing in B&H. Socio-demographic data of the suicide are: gender = 71.11% ± 3.25 (m) 27.50% ± 3.30 (f), broken family = 35.50% ± 3.77, migration = 55.21% ± 3.20, heredity = 55.10% ± 2.11 and parasuicide: gender = 35.81% ± 4.31 (m), 27.60% ± 2.10 (f), broken family = 55.77% ± 3.90, migration = 58.60% ± 5.15, heredity = 43.50% ± 3.10. EPQ in suicide is: M ± SD-neuroticism = 17.10 ± 8.20, psychosis = 19.72 ± 7.10, and in parasuicide extroversion = 21.20 ± 5.30 and Lay -scale = 14.87 ± 4.40, and significance P < 0.01. HDRS is increased in suicide: H ± SD: depression: 3.30 ± 1.20, emotion of guilt = 3.10 ± 1.20, suicide = 5.80 ± 1.25, early insomnia = 2.20 ± 1.15, anxiety = 2.10 ± 1.15 with P < 0.01, and in parasuicide: hypochondria = 1.45 ± 1.10, depersonalization = 1.90 ± 0.70 with P < 0.01. Pluchic's test separates basic emotions, and all is gathered by matrix of discriminative function.ConclusionIn the study is proven high level of self-destruction in suicidal and parasuicidal behaviour. Suicide shows faster self-destruction and a way of suicidal end, and parasuicide slower destruction with postponing the suicidal crash. Sign of suicide and parasuicide can be found in both groups of respondents and the ways of expression are different, but definite in suicide.

Testament's ability in Balkan endemic nephropathy

Introduction Testament is a solemn, authentic instrument in writing, by which a person declares his or her will as to disposal of his or her estate, and it has a psychopathological, lawful and ethical importance to a person, family and society. The aim of the study was to assess if the ability to make a testament was more damaged in patients with Balkan Endemic Nephropathy (BEN) than in patients with other diseases that resulted in Chronic Renal Failure in Bosnia and Herzegovina in the period from the 1st January 2001 to 31st December 2006. Material and methods The 753 respondents were divided into two groups in the study: BEN group (n=150) and control group made of patients with other diseases resulting in CRF (n=150). In a multicentric longitudinal study we used: adapted questionnaire from the Renal Register of Bosnia and Herzegovina, Hamilton Depression Rating Scale, and Mini-Mental State Examination. Descriptive analysis, discriminative function and regression model have been done statistically. Results In BEN group, heirs are mostly mentioned - 84.0% (t=14.391; P=0.001), and in control group: heirs - 66.6%, relatives - 43.3% (t=7.751; P=0.003), carers - 44.0% (t= 6.678 P=0.032), and institutions 10.0% (t=5.147, P=0.061). The discriminative function shows differences between BEN and control group: canonical correlation (rc) =0.827, Wilkinson lambda (lnj) =0.871, Chi-square test =141.575 and significance (P=0.001). The regression course of the analysis can be used for prediction of the ability to make testament for the patients on dialysis: [y=-0.95x + 15.715, and OR = 0.785, (95%) for CI = -0.997 - -0.375); Can Fanc r2=0.861; Significance is P=0.002]. Conclusion The ability to make a testament is more damaged in patients from the nephropathy group than in the patients from the control group who are on dialysis in Bosnia and Herzegovina. This has been confirmed by socio-demographic and psychological parameters, and it is very important for preservation of the ethic norms of the patients on dialysis, responsibility of the expert teams and persons who are benefitiaries of the testament.

Forensic evaluation of persons with destructive behavior in the postwar Bosnia and Herzegovina

Background/Aim. Different persons show forensic differences related to aggressive behavior in criminal and violation acts. The aim of this study was to forensically analyze the influence of socio-dynamic conditions and stress in testing the forensic hypothesis of hetero-destruction, and analysis of persons with destructive behavior in Bosnia and Herzegovina (B&H) in the period from 1996?2005. Methods. The experimental group consisted of 125 persons who had committed a crime according to the Criminal Law of B&H and, thus were under security measures or treatment. The control group consisted of 125 persons who had committed a violation. The following psychometric tests/questionnaires were used in the study: Eysenek Personality Questionnaire (EPQ), Beck Anxiety Inventory (BAI) and Profile Index of Emotions (PIE). Results. There were a significant difference between the respondents? groups related to gender (p < 0.01), while broken family, migration, and family comorbidity showed insignificant differences. EPQ test showed statistically significant differences between the groups for all four variables, and Beck test found significant differences only for some ones. PIE test proved the relations of the basic emotions confirmed by discriminative function. Conclusion. High level of hetero-destruction in crime was proven in the study. Criminal acts and violations were committed by the persons without psychopathology, as well as by the persons with mental diseases, which rendered a forensic responsibility and analysis of such an influence on behavior.