Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional Neuroimaging in Dissociative Disorders: A Systematic Review

Background: Dissociative disorders encompass loss of integration in essential functions such as memory, consciousness, perception, motor control, and identity. Nevertheless, neuroimaging studies, albeit scarce, have suggested the existence of particular brain activation patterns in patients belonging to this diagnostic category. The aim of this review is to identify the main functional neuroimaging correlates of dissociative disorders. Methods: we searched the PubMed database to identify functional neuroimaging studies conducted on subjects with a diagnosis of a dissociative disorder, following the PRISMA guidelines. In the end, we included 13 studies in this systematic review, conducted on 51 patients with dissociative identity disorder (DID), 28 subjects affected by depersonalization disorder, 24 with dissociative amnesia, and 6 with other or not specified dissociative disorders. Results: Prefrontal cortex dysfunction seems prominent. In addition, changes in the functional neural network of the caudate are related to alterations of identity state and maintenance of an altered mental status in DID. Another role in DID seems to be played by a dysfunction of the anterior cingulate gyrus. Other regions, including parietal, temporal, and insular cortices, and subcortical areas were reported to be dysfunctional in dissociative disorders. Conclusions: Prefrontal dysfunction is frequently reported in dissociative disorders. Functional changes in other cortical and subcortical areas can be correlated with these diagnoses. Further studies are needed to clarify the neurofunctional correlations of each dissociative disorder in affected patients, in order to identify better tailored treatments.
Subiektywne definiowanie pojęcia racjonalności w relacji do wybranych aspektów podejmowania decyzji

Cel. Celem niniejszego badania było sprawdzenie, czy sposób interpretowania racjonalności przez osoby badane łączy się z ich decyzjami ekonomicznymi i skłonnościami do maksymalizowania. Materiały i metody. Przeprowadzono badanie na 204 osobach w wieku głównie studenckim,z wykorzystaniem utworzonych definicji racjonalności, dwóch wariantów gry dyktator oraz Skali maksymalizacji, za pomocą platformy Qualtrics. Wyniki. Najważniejsze wyniki sugerują, że sposób rozumienia racjonalności powiązany jest z wysokością ofert składanych w grach dyktator - związek jest dodatni dla filozoficznej definicji, zaś negatywny dla ekonomicznej. Jednocześnie wyniki na Skali maksymalizacji wykazały (częściowo) istotne związki z ofertami składanymi w grze dyktator. Osoba badana, która preferowała ekonomiczną definicję racjonalności, była mężczyzną, osiągała wysoki poziom na Skali maksymalizacji oraz studiowała kierunek ekonomiczny, miała największą skłonność do składania niższych ofert w grze dyktator. Wnioski. Badanie pokazuje, że sposób definiowania i rozumienia racjonalności może być powiązany w istotny sposób z tym, jak dana osoba zarządza pieniędzmi – czy kieruje się preferencjami zorientowanymi prospołecznie, czy też jej wybory są bardziej egoistyczne. Kontynuowanie tychże rozmyślań w teorii oraz praktyce może przyczynić się do rozwoju i uaktualnienia fundamentalnych terminów (i przyjętych wobec nich stanowisk) w psychologii, filozofii i ekonomii. Słowa kluczowe: racjonalność, altruizm, gra dyktator, maksymalizacja
Ferula gummosa gum exerts cytotoxic effects against human malignant glioblastoma multiforme in vitro

Background and purpose: Ferula gummosa (F. gummosa), a potent medicinal herb, has been shown to possess anticancer activities in vitro. The present examination evaluated the cytotoxic and apoptogenic impacts of F. gummosa gum on the U87 glioblastoma cells. Experimental approach: MTT assay to determine the cell viability, flow cytometry by annexin V/FITC-PI to apoptosis evaluation, reactive oxygen species (ROS) assay, and quantitative RT-PCR were performed. Findings / Results: The results revealed that F. gummosa inhibited the growth of U87 cells in a concentration- and time-dependent manner with IC50 values of 115, 82, and 52 μg/mL obtained for 24, 48, and 72 h post-treatment, respectively. It was also identified that ROS levels significantly decreased following 4, 12, and 24 h after treatment. The outcomes of flow cytometry analysis suggested that F. gummosa induced a sub-G1 peak which translated to apoptosis in a concentration-dependent manner. Further examination revealed that F. gummosa upregulated Bax/Bcl-2 ratio and p53 genes at mRNA levels. Conclusion and implications: Collectively, these findings indicate that sub-G1 apoptosis and its related genes may participate in the cytotoxicity of F. gummosa gum in U87 cells.
Efficacy of Selective Laser Trabeculoplasty in Primary Angle-closure Glaucoma after Peripheral Iridotomy

Abstract Aim To evaluate the efficacy of selective laser trabeculoplasty (SLT) in Southeast Asian eyes with primary open-angle glaucoma (POAG) vs primary angle-closure glaucoma after peripheral iridotomy (PACG-PI). Materials and methods Records of glaucoma patients who underwent SLT and had a 24-month follow-up were reviewed. Pre- and post-treatment intraocular pressure (IOP), percentage of IOP reduction in POAG, and PACG-PI groups, and probability of failure were analyzed. SLT failure was defined as any eye that did not have IOP lower than 20% compared to the baseline or had an IOP higher than the baseline on two consecutive visits. Adding medication, repeating SLT, or surgical intervention to control IOP was also considered a failure. Results Sixty-three POAG and 12 PACG-PI eyes were eligible. The mean (standard deviation [SD]) age was 62.9 (10.2) years in POAG and 60.3 (6.2) years in PACG-PI. Mean (SD) prelaser IOP in POAG was 19.0 (4.4) mm Hg and 20.7 (4.7) mm Hg in PACG-PI. At 24 months post-SLT, mean (SD) IOP was 14.1 (4.7) mm Hg and 13.6 (2.0) mm Hg in POAG and PACG-PI, respectively. There was no significant difference in percentage of IOP reduction (22.8 ± 23.0% for POAG and 30.7 ± 19.5% for PACG-PI, p = 0.96), or failure probability (p = 0.10) between both groups. Conclusion The efficacy of SLT at 24 months was comparable between POAG and PACG-PI. Clinical significance Selective laser trabeculoplasty may be an option to further lower IOP in eyes with angle closure with visible trabecular meshwork (TM) after iridotomy, especially in highly pigmented eyes of Southeast Asians. How to cite this article Wongwuticomjon T, Chansangpetch S, Inobhas A, et al. Efficacy of Selective Laser Trabeculoplasty in Primary Angle-closure Glaucoma after Peripheral Iridotomy. J Curr Glaucoma Pract 2022;16(2):124-127.
Computation of Tone Noises Generated in Viscous Flows

Three benchmark problems from the current and previous CAA workshops involving tone noise generated in viscous flows are investigated using the CE/SE finite volume method. The CE/SE method is first briefly reviewed. Then, the benchmark problems, namely, flow past a single cylinder (CAA Workshop II problem), flow past twin cylinders (from the current CAA Workshop IV, Category 5, Problem 1) and flow past a deep cavity with overhang (CAA Workshop III problem) are investigated. Generally good results are obtained in comparison with the experimental data.
Application of Calcium Citrate in the Manufacture of Acid Rennet Cheese Produced from High-Heat-Treated Goat’s Milk from Spring and Autumn Season

The stability of milk proteins is affected by changes in the pH value of milk, the heating temperature, and the addition of calcium compounds or chelating agents, which can cause alterations in calcium distribution. The purpose of this study was to determine the potential of the use of calcium citrate to manufacture fresh acid rennet cheese from high-temperature-pasteurized goat’s milk (90 °C, 15 s) from the spring and autumn season and the effect of the calcium dose used on the physicochemical and organoleptic properties of the cheese. Autumn milk was found to be a richer source of total solids, confirming the effect of the production season on milk quality. The applied doses of calcium did not cause the denaturation of goat milk proteins and allowed pasteurization to take place at 90 °C for 15 s. The addition of calcium citrate resulted in a significant increase in the pH value of milk and cheese compared to the control sample. Adding 15 and 20 mg of Ca 100 g−1 to milk as citrate had the most beneficial effect on increasing protein retention in cheese in both seasons, showing a rise from 1.33% to 2.40%. The production season significantly influenced the cheese yield. The control goat cheese from the autumn season showed a 6.85% higher yield compared to the spring cheese. An increase in cheese yield was also observed as the calcium dose of milk increased. The content of micro- and microelements in cheese was affected by the production season. The addition of calcium citrate to milk resulted in a significant increase in the calcium content of cheese—from 120.83 to 147.45 mg 100 g−1 in the spring season and from 130.66 to 151.21 mg 100 g−1 in the autumn season. Increasing the dose of calcium increased the hardness of cheese samples by 1.37 N in the spring and 0.90 N in the autumn. The organoleptic evaluation showed that adding calcium to milk did not significantly affect the organoleptic characteristics of goat cheese.
Detection Performance of Generalized Likelihood Ratio Processors for Random Signals of Unknown Location, Structure, Extent, and Strength

Abstract : A signal (if present) is located somewhere in a band of frequencies characterized by a total of N search bins. The signal occupies an arbitrary set of M of these bins, where not only is M unknown, but also, the locations of the particular M occupied bins are unknown. Also, the signal strength is unknown. The generalized likelihood ratio (GLR) method furnishes an approach for estimating all the unknown parameters and for testing for presence or absence of the signal in an observation of the outputs of the N search bins. However, there is nothing guaranteed optimum about the GLR approach. Also, the optimum (likelihood ratio) processor cannot be constructed or realized, due to all the unknowns and the voluminous amount of searching required for this scenario. These deleterious conditions force adoption of some suboptimum processing techniques, guided by the GLR and likelihood ratio results. Detection, Likelihood ratio, Generalized Likelihood, Unknown Location, Unknown structure, Unknown Extent, Unknown strength, Maximum likelihood, False alarm probability, Detection probability, Order statistics, Characteristic function, Simulation.
A three-manifold invariant via the Kontsevich integral

We construct an invariant for closed, oriented three-manifolds from the Kontsevich integral of framed links, and show that it includes Lescop's generalization of the Casson-Walker invariant. Combining this result and a formula for computing the Kontsevich integral in [17], we can compute the Casson-Walker invariant combinatorially in terms of q-tangles (non-associative tangles in [3]). Our invariant is obtained from the Kontsevich integral by imposing the threeterm (3T) relation, orientation independence (01) relation, O-vanishing relation and 1-vanishing relation to the space of chord diagrams subjected to the four-term relation. The 3T relation is given by
The pentagon fraud theory perspective: understanding of motivation of executives to manipulate with the financial statements of a state-owned enterprise

State-Owned Enterprises (SOEs) in Indonesia are important economic actors in the national economy. However, SOEs have problems with accountability and financial transparency. SOEs problems ultimately lead to high economic costs and reduce efficiency. This study aims to determine the practice of fraudulent financial statements in SOEs. The method used in this research is descriptive. Data was obtained using observation and documentation of the Garuda Indonesia Group company which is a major airline in Indonesia. In addition, data were obtained from the Indonesia Stock Exchange (IDX), which consists of 36 samples. This study analyzes the financial statements from 2010 to 2018 as an independent variable. The dependent variable is measured by the elements of the pentagon fraud theory (pressure, opportunity, rationalization, competence, and arrogance) to detect fraudulent financial statements. Data analysis uses Kernel regression parameters, namely R-squared, predictive sign, and standard error, to detect earnings management in the context of the Garuda Indonesia Group. The results show that all the elements of the pentagon fraud theory affect financial statements. The study results show that the pentagon theory of fraud can be relied upon to detect misreporting in financial statements of SOEs. Furthermore, the study results are expected to be considered by related parties to be better prepared when detecting financial statement fraud using the fraud pentagon theory model.
A novel dense residual network based on Adam-S optimizer for fault diagnosis of bearings under different working conditions

In recent years, the residual network has been widely used in the field of intelligent diagnosis because of its powerful functioning. This paper proposes a novel dense residual network (DRNet) for the efficient fault diagnosis of rolling bearings, which combines the advantages of dense connections and residual learning to prevent the gradient disappearance and network degradation caused by network deepening. First, each sub-block in the dense network (DesNet) is deeply processed so that it has better nonlinear expressive ability to extract deep fault features. Then, the residual learning is embedded into each sub-block of the DesNet, so that each sub-block processed by deepening will not show the phenomenon of network degradation. Finally, an Adam-subtracted momentum optimization algorithm is proposed, which adds the first-order momentum and the second-order momentum of the previous gradient into the expression of the second-order momentum of the current gradient, which enhances the connection between the parameters in the two adjacent gradients in the Adam algorithm. It makes the algorithm more reliable and the gradient prediction more accurate. Without adding additional parameters, the training stability of the algorithm in complex environments is further improved. Experiments on two kinds of data sets under different working conditions are carried out many times, and in comparison with the random forest, support vector machine, dense network, residual network, AlexNet and DRNet-Adam. This proves the effectiveness and feasibility of the proposed model and optimization algorithm.
Ambient Light Conveying Reliability Improves Drivers' Takeover Performance without Increasing Mental Workload

Drivers of L3 automated vehicles (AVs) are not required to continuously monitor the AV system. However, they must be prepared to take over when requested. Therefore, it is necessary to design an in-vehicle environment that allows drivers to adapt their levels of preparedness to the likelihood of control transition. This study evaluates ambient in-vehicle lighting that continuously communicates the current level of AV reliability, specifically on how it could influence drivers’ take-over performance and mental workload (MW). We conducted an experiment in a driving simulator with 42 participants who experienced 10 take-over requests (TORs). The experimental group experienced a four-stage ambient light display that communicated the current level of AV reliability, which was not provided to the control group. The experimental group demonstrated better take-over performance, based on lower vehicle jerks. Notably, perceived MW did not differ between the groups, and the EEG indices of MW (frontal theta power, parietal alpha power, Task–Load Index) did not differ between the groups. These findings suggest that communicating the current level of reliability using ambient light might help drivers be better prepared for TORs and perform better without increasing their MW.
Colon Capsule Endoscopy in the Diagnosis of Colon Polyps: Who Needs a Colonoscopy?

Colon screening programs have reduced colon cancer mortality. Population screening should be minimally invasive, safe, acceptably sensitive, cost-effective, and scalable. The range of screening modalities include guaiac or immunochemical fecal occult blood testing and CT colonography and colonoscopy. A number of carefully controlled studies concur that second-generation capsule endoscopy has excellent sensitivity for polyp detection and a high negative predictive value. Colon capsules fulfill the screening expectation of safety, high sensitivity for polyp detection, and patient acceptance, and appear to straddle the divide between occult blood testing and colonoscopy. While meeting these criteria, there remains the challenges of scaling, capsule practitioner training, resource allocation, and implementing change of practice. Like CT colonography, capsule screening presents the clinician with a decision on the threshold for colonoscopy referral. Overall, colon capsules are an invaluable tool in polyp detection and colon screening and offer a filter that determines “who needs a colonoscopy? ”.
Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case

There are only a limited number of molecules in a cosmetic formulation, which can passively cross the stratum corneum and be absorbed into the skin layers. However, some actives should never cross the skin in large concentrations due to their potential for side effects, for example, sunscreens. Artificial intelligence is gaining an increasing role as a predictive tool, and in this regard, we selected the Formulating for Efficacy® Software to forecast the changes in bioavailability of selected topical cosmetic compounds. Using the Franz diffusion cell methodology, various oils were selected as those with low release capability, and these were compared to those suggested by the software in Benzophenone-3-containing formulations. The software was able to predict the lipophilic phases, which, if utilized in the emulsion, were stable and sometimes even more pleasant in appearance and consistency than the reference emulsions prepared by the formulator. To date, however, Formulating for Efficacy® Software still has limitations as far as predicting the hydrophilic phase, as well as not being able to choose the emulsifier or the preservative system.
Accuracy of a Novel Preoperative Failure Risk Model for Debridement Antibiotics and Implant Retention (DAIR) in Acute Prosthetic Joint Infection

Given the variable success of the debridement, antibiotics and implant retention (DAIR) procedure in patients with acute prosthetic joint infection (PJI), an accurate selection of candidates is critical. In this study, we set about calculating the predictive value of a novel algorithm for predicting outcome following DAIR developed by Shohat et al. Sixty-four patients who underwent debridement for (early and late) acute PJI in a tertiary-level university hospital were selected, and the aforementioned algorithm was retrospectively applied. Patients with model scores of 40–50%, 50–60%, 60–70%, 70–80% and 80–90% displayed success rates of 33.34%, 41.18%, 57.9%, 78.27% and 100%, respectively. The receiver operating characteristic curve showed an area under the curve of 0.69. The calibration intercept value was 0, and the calibration slope value was 1. Failure rates were significantly higher for the following variables: revision surgery (p = 0.012) index surgery for reasons other than osteoarthritis (p = 0.01), and C-reactive protein level >30 mg/L (p = 0.042). This analysis demonstrated that the Shohat algorithm is associated with an optimal calibration value and a moderate predictive value for failure of a DAIR procedure in patients with acute PJI. Its validation is recommended before it can be routinely applied in daily practice.
Uma Análise Formal Automatizada dos Protocolos de Envio e Confirmação de Processamento da Nota Fiscal Eletrônica Brasileira

A Nota Fiscal Eletrônica Nacional(NF-e) é uma legislação tributária que institui a versão digital da nota fiscal modelo 1/1-A, usada principalmente para declarar operações de venda de mercadorias entre empresas em tempo real, substituindo o documento fiscal impresso. Este artigo formaliza e analisa os protocolos de envio e confirmação de processamento. Fizemos uma formalização das mensagens em cada sub-protocolo e então usamos um método consolidado para análise automatizada de protocolos de segurança. Do problema encontrado, avaliamos o impacto e sugerimos modificações aos protocolos da NF-e para torná-los resistentes ao ataque encontrado.
Perceived Exclusionary Disadvantages and Populist Attitudes: Evidence from Comparative and Longitudinal Survey Data in Six European Countries

Recent ethnographic research has argued that subjective impressions of disadvantage are important to explain support for radical populist parties. Yet, the question of how such perceived disadvantages relate to populist attitudes as an expression of populist ideas has received less attention. In this regard, this study sets out to investigate the relationship between subjective group relative deprivation and populist attitudes. I argue that subjective group relative deprivation is positively related to populist attitudes. Going beyond previous research, I account for the possibility that populist attitudes also positively affect feelings of disadvantage, resulting in a vicious circle of disadvantage and populism. Results from three original cross-sectional surveys in six European countries show that subjective group relative deprivation is positively related to populist attitudes. More importantly, analyses of original panel data show that fully understanding the relationship between populism and disadvantage requires taking both directions of causality into account.
Shapes in Scatterplots: Comparing Human Visual Impressions and Computational Metrics

We are currently in the process of designing and implementing a computational cognitive system that combines perception, memory, attention, and domain-speciﬁc semantic knowledge to perform data visualization tasks. While this work is still in early stages, we report here on one subset of this larger project that involves building a “visual long term memory” for the system. To constrain the problem, we assume a domain of astronomy, and we focus exclusively on scatterplot visualizations. In this paper, we present three of our initial steps along this path. First, we collected and analyzed a catalog of 74 scatterplots from real astronomy sources (papers, books, etc.), which we consider to be typical data visualizations that astronomers would frequently encounter during their education. Second, we asked a team of human raters to rate all 74 scatterplots along nine dimensions describing shape categories, taken from a computational approach originally suggested by John and Paul Tukey called scagnostics. Third, we calculated computer-based scagnostics for a subset of the scat-terplots. We measured inter-rater agreements among the human raters and between the calculated and human ratings.