The uncertainty of structural interpretation complicates the practical production and application of data-driven complex geological structure modeling technology. Intelligent structural modeling excavates and extracts structural knowledge from structural interpretation through human-machine collaboration and combines structural interpretation to form a new model of complex structural modeling guided by knowledge. Specifically, we focus on utilizing knowledge rule reasoning technology to extract topological semantic knowledge from interpretive data and employ knowledge inference to derive structural constraint information from complex geological structure models, thus effectively constraining the 3D geological structure modeling process. To achieve this, we develop a rule-based knowledge inference system that derives theoretical models consistent with expert cognition from interpretive data and prior knowledge. Additionally, we represent the extracted knowledge as a topological semantic knowledge graph, which facilitates computer recognition and allows estimation of intersection lines during 3D geological modeling, resulting in the creation of accurate models. The applicability of our proposed method to various complex geological structures is validated through application tests using real-world data. Furthermore, our method effectively supports the realization of intelligent structure modeling in real working area.

An automated approach for evaluating the strength of the evidence of firearm toolmark comparison results is presented for a common source scenario. First, comparison scores are derived describing the similarity of marks typically encountered on the primer of fired cartridge cases: aperture shear striations as well as breechface and firing pin impressions. Subsequently, these scores are interpreted using reference distributions of comparison scores obtained for representative known matching (KM) and known non-matching (KNM) ballistic samples in a common source, score-based likelihood ratio (LR) system. We study various alternatives to set up such an LR system and compare them using qualitative and quantitative criteria known from the literature. As an example, results are applied to establish a system suitable for a firearm-ammunition combination often encountered in casework: Glock firearms with Fiocchi nickel primer ammunition. The system outputs an LR and a measure of LR uncertainty. The range of possible LR-values is limited to a minimum and maximum value in areas of the score domain with little reference data. Finally, the feasibility of combining LRs of different mark types into one LR for the entire primer is assessed. For the distribution models considered in this paper, different modeling approaches are optimal for different types of similarity scores. For the chosen firearm-ammunition combination, non-parametric Kernel Density Estimation (KDE) models perform best for similarity scores based on the correlation coefficient, whereas parametric models perform best for the Congruent Matching Cells (CMC) scores, assuming binomial and beta-binomial models for KM and KNM score distributions respectively. Finally, it is demonstrated that individual LRs of different mark types can be combined into one LR, to interpret a set of different marks on the primer as a whole.

UNASSIGNED: Previous studies detected changes in the electroencephalographic (EEG) signal as an effect of psychoanalytic interventions. However, no study has investigated neural correlates of specific psychoanalytic interventions in the EEG power spectrum yet. In the present case study, we contrasted three types of interventions (clarification, confrontation, and interpretation) and a neutral control condition during a structural psychoanalytic interview conducted while EEG was recorded.
UNASSIGNED: A 27-year-old male patient diagnosed with major depressive disorder and borderline personality disorder with recurrent suicidal and self-injurious behavior underwent a structural interview while recording EEG. Two independent experts selected by consensus the characteristic episodes of the four conditions (clarification, confrontation, interpretation, and neutral control) within the interview, which were included in the EEG analyses. Fast Fourier transformation (FFT) was applied to subsegments of the intervention type to analyze the EEG power spectra. Alpha and beta power from central, frontal, and parietal sites were considered in linear mixed-effects models with segments as a random factor with maximum-likelihood estimates due to the lack of balance in the length of the interview segments.
UNASSIGNED: The interventions \"interpretation\" and \"confrontation\" showed a significantly lower alpha power compared with the control condition in the central electrodes. In the frontal and parietal sites of the alpha power and all beta power sites, the omnibus tests (full model/model without intervention) and comparisons relative to control conditions showed no significant overall result or failed significance after alpha error correction.
UNASSIGNED: Incisive interventions, such as confrontation with discrepancies and interpretation of unconscious intrapsychic conflicts, may have provoked temporary emotional lability, leading to a change in psychic processing akin to interference from external stimuli. This conclusion is consistent with the finding that interpretations, which are potentially the most concise interventions, had the strongest effects on alpha power. Using EEG during therapeutic psychoanalytic intervention techniques might be a helpful tool to evaluate differential responses to the psychotherapeutic process on a neural level. However, this single-case result has to be replicated in a larger sample and does not allow generalizations.

This paper demonstrates how the Three-Level Model for Observing Transformations in Psychoanalysis permits a lively discussion among analysts on change and absence of change in the patient. The authors debate the nature and degree of the difficulties and explore conceptual questions and theoretical ideas to shed further light on change and mechanisms of change in the case of Adam.

While cognitive bias in younger adults with depression has been extensively researched, there have been relatively few investigations of the presence of cognitive bias in late life depression (LLD). This exploratory study aimed to ascertain whether negative cognitive bias exists across a range of cognitive domains in participants with LLD.
Participants were 19 patients with LLD and 19 matched non-depressed older adults. Participants completed standardised tests to assess bias in facial expression recognition, attention, recall of adjectives and interpretation.
LLD participants were slower to identify surprised faces, and more likely to create negative statements in the interpretation task. There was no evidence of negative bias in memory or attention, but participants with LLD performed more poorly on the recall task.
This study provides new evidence of negative bias in interpretation in LLD, but the findings are not consistent with a global cognitive bias Further work is needed to investigate cognitive bias in LLD. It may be that interventions which target negative interpretation biases, such as cognitive bias modification, could be helpful in treating LLD.

Although it has been accepted by most scientists that drugs circulating in blood are eligible to hair incorporation, this cannot be considered as a general statement. A 42-year old man was found dead in his swimming pool. He was living alone, and seen alive 2 days before by a neighbour. Femoral blood, cardiac blood and hair were collected during body examination. Free morphine was identified in femoral blood at 28 ng/mL, corresponding to his treatment for chronic pain (3 × 5 mg daily for 4 months). However, with a limit of quantitation (LOQ) at 10 pg/mg, segmental hair testing (3 × 1 cm) for morphine was negative. In this paper, the author has reviewed the different factors which can be responsible of this discrepancy. Several variables can influence the detection of a drug in hair and the author has listed reasons that can account for the absence of analytical response in hair after drug administration. The drug may not be incorporated in hair. That is the case for large bio-molecules, such as hormones, which cannot be transferred from the blood capillaries to growing cells of hair. Cosmetic treatments (perming, colouring, bleaching) or environmental aggressions (ultraviolet radiation, thermal application) will always reduce the concentrations. In this case, the lack of morphine detection was attributed to the effects of chlorinated water from the swimming pool. A negative hair result is also a result. However, this can be interpreted in three different ways: 1. the owner of the hair did not take or was not exposed to the specific drug, 2. the procedure is not sensitive enough to detect the drug, or 3. something happened after drug incorporation (cosmetic treatment, environmental influence).

Despite the success and fast adaptation of deep learning models in biomedical domains, their lack of interpretability remains an issue. Here, we introduce Enhanced Integrated Gradients (EIG), a method to identify significant features associated with a specific prediction task. Using RNA splicing prediction as well as digit classification as case studies, we demonstrate that EIG improves upon the original Integrated Gradients method and produces sets of informative features. We then apply EIG to identify A1CF as a key regulator of liver-specific alternative splicing, supporting this finding with subsequent analysis of relevant A1CF functional (RNA-seq) and binding data (PAR-CLIP).

First used over 50 years ago, forensic palynology is an important tool for law enforcement agencies. In most countries that use forensic palynology, microscopic pollen grains and spores are traditionally used in criminal investigations to link suspects to crime scenes or items. While still underutilized in many parts of the world, forensic palynology is increasingly being used to determine the region of origin, or geolocation, for persons and items of interest. Drawing upon the experience of the authors using trace pollen and spores to geolocate forensic samples, the types, methods, and variables of this type of analysis are discussed and demonstrated using the Baby Doe case from Massachusetts, USA as a case study. This is not an exhaustive list and every forensic sample is unique so the methods and experience presented here are intended to be a guide for future forensic and anti-terrorism investigations as forensic palynology becomes more commonplace in law enforcement agencies around the world.

The stability of compounds in formalin solution is an important factor for drug analysis in a toxicological investigation. In this article, the authors report a complex medico-legal case involving midazolam and oxycodone. The complexity of this case comes from the fact that the body was embalmed with formalin solution before the autopsy. This technique, called thanatopraxy, allows the preservation of corpses from decomposition, the destruction of a maximal number of micro-organisms, and the presentation of the body with a natural appearance to the family. Unfortunately, when thanatopraxy is performed before the collection of biological specimens, the toxicological results are not representative of the time of the death. In addition, the interpretation of the results is difficult, because formalin can cause oxidation of xenobiotics present in the body at the time of the death, alter the pH of the tissues and dilute the compounds. To document the chemical stability of midazolam and oxycodone in formalin solution and interpret the results, a stability study was conducted for 21 days. Blood containing midazolam and oxycodone was spiked with formalin, kept at 4°C and regularly tested for both drugs. This study showed a rapid degradation of midazolam and oxycodone (85% during the first 24 hours for oxycodone). In the peripheral blood of the victim, methanol (1.31 g/L), midazolam (74ng/mL) and oxycodone (152 ng/mL) were identified. According to the stability study, the measured concentrations in formalin fixed-tissues are to be interpreted very carefully, knowing that significant degradation has occurred.

In England and Wales, detained psychiatric inpatients are treated under section 63 of the Mental Health Act 1983. This paper critically analyses the relevant law and considers the arbitrary distinctions between consent for treatments for mental illnesses and physical conditions, which may disempower patients with mental illness. Section 63 states that (for detained psychiatric patients) consent for medical treatment for patients\' mental disorder is not required. The treating clinician responsible for a patient decides what this medical treatment entails. This article focuses on three main legal cases: B v Croydon Health Authority, Tameside and Glossop v CH and Nottinghamshire Healthcare NHS Trust v RC and considers whether s 63 disempowers patients with mental illnesses.