bluuebunny/crossref_metadata_2025 huggingface dataset:
Inner experience of self-integrity as the basis of adolescents’ mental health
Authors: Hrys A. M. , Prokofieva О. О.
Published: March 2023

The work is devoted to the study of the inner experience of self-integrity as the basis of a growing person’s mental health. Importance to study the system of interrelations of a person’s self-image with other structural personal constructs is noted. These interrelations constitute personal experience wholeness and integration or vice versa disintegration during the person’s adaptation to the socio-cultural environment. A fragment of a psychologist's work in the framework of the proposed author's model is shown, in particular, psychodiagnostic capabilities of the "Emotions, sensations and experiences" technique, serving as a benchmark for further work with adolescents. Adolescents with high and average levels of anxiety, aggressiveness, hostility, low self-esteem, avoidance of difficulties, frustration have been determined empirically. Adolescents with high and average rigidity have been also determined. It is argued that the most effective methods for the correction of emotional disorders and self-image are the association methods allowing lowering of the use of protective mechanisms during working through a person’s traumatic negative experience, causing aggressiveness, anxiety and frustration at adolescents. Through their application, the process of self-knowledge and self-understanding is implemented, activating the desire to design consciously own Self.
Psychological effects of combat stress on military servicemen
Authors: Voitenko O. V. , Tkachuk T. L.
Published: March 2023

The aim of the study is broadening the scientific understanding of the psychological effects of combat stress and also changing the traditional research paradigm regarding its impact on the psychological health of military servicemen. The article attempts to correlate the semantic fields of the concepts of stress and combat stress. Both negative and positive effects of traumatic stress are considered. A definition of post-traumatic growth is provided. The expediency of using a positively oriented (existential-humanistic) approach to assessing the psychological effects of combat stress is substantiated. The research creates a theoretical and methodological basis for the development of effective psychological rehabilitation measures for combatants in conditions of peaceful living.
The readiness of students for self-educational activity as a pledge of their social and mental wellbeing
Authors: Martyniuk I. A.
Published: March 2023

Today, the readiness of students for self-educational activity is a pledge of their social and mental wellbeing. However, in the meantime there are no methods that would indicate the availability of self-educational activity, its characteristics, and recognize indicators of readiness for self-educational process and the structure of this readiness in psychological and pedagogical science. The author developed methods for diagnostic assessment: the structure of personality's readiness for self-educational process; performance of self-educational activity and its essence by students; the formation and completeness of its specific indicators. The article considers the results of empirical research according to these methods. Based on the results of the theoretical research, the author determined that readiness for self-educational process does the following: integrates personal qualities, abilities, motivation, knowledge, skills, skills; displayes itself as a willingness to self-educational process and guarantees its effectiveness. The author highlighted the indicators of the readiness of an individual for self-educational process; described the three-component structure of the readiness for self-educational activity (personal, cognitive, activity components). The proposed instrumentarium can be used for comprehensive study of psychological peculiarities of the readiness for self-educational activity of students.
Mental health as a component of the conceptual sphere of health and a promising direction for the development of the mental health service in Ukraine
Authors: Timashova V. M. , Timashov V. А.
Published: March 2023

The components of the conceptual are considered sphere of health in the aspect of physical, mental and social well-being. The notion of psychological and mental health is delimited Applying the principles of historicity, systemicity, objectivity. Indicated the main directions of researches of domestic scientists concerning psychosomatic, personality and socio-psychological aspects of life activity which are regulators of human mental health. The concept is delineated of psychological and mental health. The main directions are indicated the researches of domestic scientists concerning psychosomatic, personality and socio-psychological aspects of life activity, which are regulators of human mental health. It is emphasized that the review of modern health perceptions testifies to the complexity and ambiguity of this concept, but does not convey the completeness of actual tendencies in the conceptualization of health. The fact of the inclusion of mental health in the general conceptual framework. The framework of the theory of personality indicates the importance of mental health for harmonious personal growth and necessitates a special scientific interest in this topic. It is revealed that in modern scientific approaches to understanding the essence of human health to the fore are its subjective and psychological aspects. It is emphasized that the mental health of a person means conscious management of his behavior in extreme conditions by constructing effective models of behavior. The implementation of the community mental health is supported services in the practice of health care in Ukraine.
Editorial
Authors: Chua Liana , Buitron Natalia , Cooper Timothy
Published: March 2023

Welcome to the first CJA issue of 2023 and the first to be produced by the new editorial team of Liana Chua (Editor), Natalia Buitron (Editor from October 2023) and Timothy Cooper (Reviews Editor). We have learnt a lot while sliding into our new roles, and we are immensely grateful to Andrew Sanchez and Tom White for leaving the journal in such excellent shape, Claudia Luna for her editorial assistance, and Janine Latham, Sascha Berghahn and the rest of the Berghahn team for their cheerful support and patience.
Two theories of money
Authors: Kalb Don
Published: March 2023

The last decade of financial crisis, “financialization” and “quantitative easing” has been a feast of public learning about money and finance. Anthropology, history, and political economy rediscovered a “forgotten” history of money as fundamentally a public good rather than basically a private one. This article discusses the rediscovery of the two competing basic historical theories of money. It also notes that, after a turbulent decade of class and political polarization, including a worldwide pandemic, we also learned that under capitalism it just cannot be publicly conceded that money, if we want to, costs nothing, even though that is scientifically true. The article then reflects upon the current return of inflation and the turn toward “hard and dear money,” and what that might mean.
„Najbardziej elokwentni z Ojców” a metoda przepowiadania w Kościele przełomu IV i V wieku
Authors: Nowaszczuk Jarosław
Published: March 2023

Grzegorz z Nazjanzu i Jan Chryzostom na przestrzeni czasu zostali uznani za najwybitniejszych kaznodziejów Kościoła na Wschodzie. Celem obecnego artykułu jest wykazanie, że różnili się w sposobie opracowania tekstów publicznych wystąpień, co implikuje potrzebę odrębnego podejścia do ich dorobku. Obaj Ojcowie tworzyli w okresie, gdy retorykę wykorzystywano bardziej na potrzeby rozrywki niż przekazu wiedzy, a znani z biegłości krasomówczej sofiści uchodzili za przekupnych i zdeprawowanych. Na przestrzeni kilkudziesięciu lat doprowadziło to w Kościele do odrzucenia warsztatu retorycznego na rzecz bardziej przystępnego co do formy i języka gatunku – homilii.
On Christian Asylum in Augustine’s Sermones
Authors: Hrnčiarová Daniela
Published: March 2023

In the late 4th century, bishops utilized the so-called ius intercessionis right to intervene in order to help those in need, be they the persecuted, the accused or the convicted. These actions of a bishop were rooted foremost in the idea of mercy and it was also due to this right that a bishop became the one to decide about the granting of the right to asylum – a right which was gradually extended to Christian churches at the time. St. Augustine encounters the issue of Christian asylum as the bishop of Hippo Regius in Africa mainly in his preserved correspondence, but he talks about seeking sanctuary in Christian churches also in one of his sermons, specifically in Sermo 302 delivered on the feast of St. Lawrence. This paper focuses on presenting the circumstances of a violent act in Hippo Regius and its implications to potentially sanctuary seeking in local Christian church, particularly on the ground of analysis of post sermonem to Sermo 302.
Precarization Of The Us Labor Market And The Concept Of A Universal Basic Income
Authors: Shlihter Alexey
Published: March 2023

The author examines changes in the structure of the labor market with an increase in its composition of a complex category of workers with precarious employment, reveals the motives and options for pilot projects of a universal unconditional basic income (UBI) conducted in American cities. The article discusses whether an unconditional basic income could become an alternative to the US social security system. Evaluations of the results of the UBI projects are given; the attitudes of politicians, economists, business corporations and ordinary citizens of America to the UBI are considered. Particular attention is paid to the fundamental differences between an unconditional basic income and the existing welfare institutions, as well as factors that promote or hamper the implementation of the UBI on a national scale. The idea of a universal unconditional basic income has become part of the political debate and electoral platforms during the presidential race. UBI, if implemented, can, by modifying, integrate into the existing institutional system, although this may be an extremely complex and controversial process, which largely explains why this concept has not been implemented on a national scale by now, but limited to some U.S. states. Attention is drawn to the potential economic effect of the UBI, which consists in the fact that the budget allocations spent on social dividends are returned to the economy, as the multiplier effect is triggered - people's confidence in the future makes them save less and spend more
Artificial intelligence in the stock market: present and future
Authors: Sukharev Aleksander
Published: March 2023

The article shows the role of trading robots in the stock market and the degree of efficiency. A comparison of algorithmic robots and neurobots is given, a hypothesis about the possible future of their symbiosis is expressed. Assumptions are made about the impact of artificial intelligence on trading on the stock market, on the possibility of extracting profit from it
Crisis in Russian-Japanese Relations in 2022
Authors: Voda Kristina
Published: March 2023

In response to Russia’s special military operation in Ukraine in 2022, Japanese government imposed large-scale sanctions that affected financial, trade, economic, energy, political and humanitarian spheres of Russian-Japanese cooperation. The negotiations on the peace treaty between Moscow and Tokyo were also suspended.
Unlike in 2014, Japanese anti-Russian sanctions in 2022 caused heavy crisis in Russian-Japanese relations. The reasons of the Tokyo’s tough response included the scale of the Russian military operation in Ukraine in 2022, the harsh reaction to Russian operation of Japan’s leading international partners, including the United States, European Union, Great Britain, Australia and a number of Asia-Pacific nations, desire of Japanese leadership to warn China that its possible military actions in Taiwan Strait or around the Senkaku/Diaoyu Islands in the East China Sea will meet Tokyo’s serious resistance.
Another reason of severe worsening of Russian-Japanese relations in 2022 was the essential end of the rapprochement between Moscow and Tokyo in 2013–2020 with unsatisfactory results for the Japanese side. During this period, Russia and Japan could not sign a peace treaty despite the efforts of the former Prime Minister Shinzo Abe who intended to solve the long-standing territorial dispute between Russia and Japan by establishing personal ties with the Russian president Vladimir Putin and promoting economic cooperation between the two nations. This approach proved to be unpromising and was criticized in Russia and Japan.
The future of the peace treaty talks between Moscow and Tokyo will depend on whether the negotiating parties are able to lower the level of political and diplomatic confrontation and adopt their claims to the new realities of the changed international environment.
INTRODUCING A NEW MODEL FOR LOCATING THE LOCATION OF FIREFIGHTING FORCES BASED ON FUZZY REGION AND NONDOMINATED SORTING GENETIC ALGORITHM
Authors:   Islamic Azad University, Hassani Saeed , Tahghighi Sharabyan Mohammad , Tayyebi Qasabeh Zahra ,   Payame Noor University of Guilan
Published: March 2023

The establishment of fire stations is considered an essential part of the security of any city. At the time of an accident, the location of fire stations is essential for timely and quick relief. The delay in providing aid causes irreparable damage to the life and property of the city's people, and the correct location of fire stations can prevent such incidents from happening, which is necessary to achieve this goal. It is systematic and integrated based on a suitable model. Therefore, in this research, a suitable model for locating the position of firefighting forces based on fuzzy logic and mutated genetic algorithm is proposed, which has two objective functions: one for optimizing the urban coverage and the other for optimizing Building the number of fires stations. The goal is to deploy stations in such a way as to create maximum urban coverage, and on the other hand, considering the cost of deploying each station, the method seeks to reduce the number of stations. The criteria needed for the stations' location have been examined, including the distance from the existing fire station. S the distance from the areas at risk of earthquakes, the high population density, the density of wooden buildings, the proximity to the roads—the main and density of hazardous materials facilities., the data set of fire stations in Istanbul city was used, to check the results and simulation in this research. This data set contains two parts, one of which contains information about the location of the stations, which has 124 data, and the other contains related information to the areas where the fire occurred and has 107 data. In this research, five scenarios were set, the first scenario of two parameters, the second scenario of three parameters, the third, fourth, and fifth scenarios of four parameters and their influence on the choice of the parent were investigated, and the results showed that the best solution is It is obtained that both goals have the same weight in the scenarios. It happens when the number of stations reaches the desired level. In fact, by increasing the number of stations to the appropriate size, the urban coverage amount reached the desired results.
A MODIFIED FUZZY SUPPORT VECTOR MACHINE CLASSIFICATION-BASED APPROACH FOR EMOTIONAL RECOGNITION USING PHYSIOLOGICAL SIGNALS
Authors:   Amirkabir University of Technology, Bagher Menhaj Mohammad ,   Islamic Azad University
Published: March 2023

Emotional state recognition has become an essential topic for human–robot interaction researches that diverted and covers a wide range of topics. By specifying emotional expressions, robots can identify the significant variables of human behavior and apply them to communicate in a very human-like fashion and develop interaction possibilities. The multimodality and spontaneity nature of human emotions make them hard to be recognized by robots. Each modality has its advantages and limitations, which, along with the unstructured behavior of spontaneous facial expressions, make several challenges for the proposed approaches in the literature. The most important of these approaches is based on a combination of explicit feature extraction methods and manual modality. This paper proposes a modified fuzzy support vector machine (FSVM) classification-based approach for emotional recognition using physiological signals. The main contribution of this study includes applying various data extraction indices and proper kernels for the FSVM classification method and evaluating the signal's richness in experimental tests. The developed emotional recognition method is also compared with conventional SVM and other existing state-of-the-art emotional recognition algorithms. The comparison results show an improved accuracy of the developed method over other approaches.
Sphingolipids in Cerebrospinal Fluid and Plasma Lipoproteins of APOE4 Homozygotes and Non-APOE4 Carriers with Mild Cognitive Impairment versus Subjective Cognitive Decline
Authors: den Hoedt Sandra , Dorst-Lagerwerf Kristien Y. , de Vries Helga E. , Rozemuller Annemieke J.M. , Scheltens Philip , Walter Jochen , Sijbrands Eric J.G. , Martinez-Martinez Pilar , Verhoeven Adrie J.M. , Teunissen Charlotte E. , Mulder Monique T.
Published: March 2023

Background:

Alzheimer’s disease (AD) patients display alterations in cerebrospinal fluid (CSF) and plasma sphingolipids. The APOE4 genotype increases the risk of developing AD.

Objective:

To test the hypothesis that the APOE4 genotype affects common sphingolipids in CSF and in plasma of patients with early stages of AD.

Methods:

Patients homozygous for APOE4 and non- APOE4 carriers with mild cognitive impairment (MCI; n = 20 versus 20) were compared to patients with subjective cognitive decline (SCD; n = 18 versus 20). Sphingolipids in CSF and plasma lipoproteins were determined by liquid-chromatography-tandem mass spectrometry. Aβ42 levels in CSF were determined by immunoassay.

Results:

APOE4 homozygotes displayed lower levels of sphingomyelin (SM; p = 0.042), SM(d18:1/18:0) ( p = 0.026), and Aβ42 ( p < 0.001) in CSF than non- APOE4 carriers. CSF-Aβ42 correlated with Cer(d18:1/18:0), SM(d18:1/18:0), and SM(d18:1/18:1) levels in APOE4 homozygotes ( r > 0.49; p < 0.032) and with Cer(d18:1/24:1) in non- APOE4 carriers ( r = 0.50; p = 0.025). CSF-Aβ42 correlated positively with Cer(d18:1/24:0) in MCI ( p = 0.028), but negatively in SCD patients ( p = 0.019). Levels of Cer(d18:1/22:0) and long-chain SMs were inversely correlated with Mini-Mental State Examination score among MCI patients, independent of APOE4 genotype ( r< –0.47; p < 0.039). Nevertheless, age and sex are stronger determinants of individual sphingolipid levels in CSF than either the APOE genotype or the cognitive state. In HDL, ratios of Cer(d18:1/18:0) and Cer(d18:1/22:0) to cholesterol were higher in APOE4 homozygotes than in non- APOE4 carriers ( p = 0.048 and 0.047, respectively).

Conclusion:

The APOE4 genotype affects sphingolipid profiles of CSF and plasma lipoproteins already at early stages of AD. ApoE4 may contribute to the early development of AD through modulation of sphingolipid metabolism.
Internal layer intersecting the boundary of a domain in a singular advection–diffusion equation
Authors: Amirat Youcef , Münch Arnaud
Published: March 2023

We perform an asymptotic analysis with respect to the parameter [Formula: see text] of the solution of the scalar advection–diffusion equation [Formula: see text], [Formula: see text], supplemented with Dirichlet boundary conditions. For small values of ε, the solution [Formula: see text] exhibits a boundary layer of size [Formula: see text] in the neighborhood of [Formula: see text] (assuming [Formula: see text]) and an internal layer of size [Formula: see text] in the neighborhood of the characteristic starting from the point [Formula: see text]. Assuming that these layers interact each other after a finite time [Formula: see text] and using the method of matched asymptotic expansions, we construct an explicit approximation [Formula: see text] satisfying [Formula: see text]. We emphasize the additional difficulties with respect to the case M constant considered recently by the authors.
Geometric optics expansion for weakly well-posed hyperbolic boundary value problem: The glancing degeneracy
Authors: Benoit Antoine , Loyer Romain
Published: March 2023

This article aims to finalize the classification of weakly well-posed hyperbolic boundary value problems in the half-space. Such problems with loss of derivatives are rather classical in the literature and appear for example in ( Arch. Rational Mech. Anal. 101 ( 1988 ) 261–292) or (In Analyse Mathématique et Applications ( 1988 ) 319–356 Gauthier-Villars). It is known that depending on the kind of the area of the boundary of the frequency space on which the uniform Kreiss–Lopatinskii condition degenerates then the energy estimate can include different losses. The three first possible areas of degeneracy have been studied in ( Annales de l’Institut Fourier 60 ( 2010 ) 2183–2233) and ( Differential Integral Equations 27 ( 2014 ) 531–562) by the use of geometric optics expansions. In this article we use the same kind of tools in order to deal with the last remaining case, namely a degeneracy in the glancing area. In comparison to the first cases studied we will see that the equation giving the amplitude of the leading order term in the expansion, and thus initializing the whole construction of the expansion, is not a transport equation anymore but it is given by some Fourier multiplier. This multiplier needs to be invert in order to recover the first amplitude. As an application we discuss the existing estimates of ( Discrete Contin. Dyn. Syst., Ser. B 23 ( 2018 ) 1347–1361; SIAM J. Math. Anal. 44 ( 2012 ) 1925–1949) for the wave equation with Neumann boundary condition.
CPT1B, a metabolic molecule, is also an independent risk factor in CN-AML
Authors: Ling Qing , Mao Shihui , Pan Jiajia , Wei Wenwen , Qian Yu , Li Fenglin , Huang Shujuan , Ye Wenle , Lin Xiangjie , Huang Jiansong , Wang Jinghan , Jin Jie
Published: March 2023

BACKGROUND: Fatty acid oxidation has been considered as an important energy source for tumorigenesis and development. Several studies have investigated the role of CPT1A, a kind of fatty acid oxidation rate-limiting enzyme, in AML. However, prognostic value and regulatory network of another subtype, CPT1B in AML remains elusive. This study aims to clarify the independent prognostic role of CPT1B in CN-AML based on clinical data and molecular level data (mRNA, miRNA and lncRNA). OBJECTIVE: The aim of this study is to investigate the prognostic value of CPT1B in AML patients. METHODS: First, we analyzed the CPT1B expression in AML cohort via the online database “GEPIA”. Subsequently, miRNA-mRNA and ceRNA networks were constructed to help predict the role of CPT1B in AML. Several molecules which showed the prognostic value and metabolic function of CPT1B were identified. Finally, the expression of CPT1B in our own cohort of 324 CN-AML patients was analyzed to clarify the results. RESULTS: It was found that CPT1B was markedly higher in AML patients compared to normal people and this upregulation was associated with the poor clinical outcome. Several molecules revealed the possible regulatory mechanism of CPT1B in AML. CONCLUSION: CPT1B is a potential prognostic factor and a therapeutic target for AML treatment.
Prognostic value of an eighteen-genes panel in acute myeloid leukemia by analyzing TARGET and TCGA databases
Authors: Chen Panpan , Cao Jiaming , Chen Lingling , Gao Guanfei , Xu Yuanlin , Jia Peijun , Li Yan , Li Yating , Du Jiangfeng , Zhang Shijie , Zhang Jingxin
Published: March 2023

BACKGROUND: Acute myeloid leukemia (AML) has a poor prognosis, and the current 5-year survival rate is less than 30%. OBJECTIVE: The present study was designed to identify the significant genes closely related to AML prognosis and predict the prognostic value by constructing a risk model based on their expression. METHODS: Using bioinformatics (Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, univariate and multivariate Cox regression analysis, Kaplan-Meier survival analysis, and receiver operating characteristic (ROC) analysis) to identify a prognostic gene signature for AML. Finally, The Cancer Genome Atlas (TCGA) database was used to validate this prognostic signature. RESULTS: Based on univariate and multivariate Cox regression analysis, eighteen prognostic genes were identified, and the gene signature and risk score model were constructed. Multivariate Cox analysis showed that the risk score was an independent prognostic factor [hazard ratio (HR) = 1.122, 95% confidence interval (CI) = 1.067–1.180, P< 0.001]. ROC analysis showed a high predictive value of the risk model with an area under the curve (AUC) of 0.705. CONCLUSIONS: This study evaluated a potential prognostic signature with eighteen genes and constructed a risk model significantly related to the prognosis of AML patients.
ScRNA-seq revealed targeting regulator of G protein signaling 1 to mediate regulatory T cells in Hepatocellular carcinoma
Authors: Zou Lianhong , Liu Kaihua , Shi Yongzhong , Li Guowei , Li Haiyang , Zhao Chaoxian
Published: March 2023

BACKGROUND: Regulatory T cells (Tregs) are central to determine immune response, thus targeting Tregs for immunotherapy is a promising strategy against tumor development and metastasis. OBJECTIVES: The objective of this study was to identify genes for targeting Tregs to improve the outcome of HCC. METHODS: We integrated expression data from different samples to remove batch effects and further applied embedding function in Scanpy to conduct sub-clustering of CD4+ T cells in HCC for each of two independent scRNA-seq data. The activity of transcription factors (TFs) was inferred by DoRothEA. Gene expression network analysis was performed in WGCNA R package. We finally used R packages (survminer and survival) to conduct survival analysis. Multiplex immunofluorescence analysis was performed to validate the result from bioinformatic analyses. RESULTS: We found that regulator of G protein signaling 1 (RGS1) expression was significantly elevated in Tregs compared to other CD4+ T cells in two independent public scRNA-seq datasets, and increased RGS1 predicted inferior clinical outcome of HCC patients. Multiplex immunofluorescence analysis supported that the higher expression of RGS1 in HCC Tregs in tumor tissue compared to it in adjacent tissue. Moreover, RGS1 expression in Tregs was positively correlated with the expression of marker genes of Tregs, C-X-C chemokine receptor 4 (CXCR4), and three CXCR4-dependent genes in both scRNA-seq and bulk RNA-seq data. We further identified that these three genes were selectively expressed in Tregs as compared to other CD4+ T cells. The activities of two transcription factors, recombination signal binding protein for immunoglobulin kappa J region (RBPJ) and yin yang 1 (YY1), were significantly different in HCC Tregs with RGS1 high and RGS1 low. CONCLUSIONS: Our findings suggested that RGS1 may regulate Treg function possibly through CXCR4 signaling and RGS1 could be a potential target to improve responses for immunotherapy in HCC.
Reinforcement learning based distantly supervised biomedical named entity recognition
Authors: Bali Manish , Anandaraj S.P.
Published: March 2023

Data used by current Biomedical named entity recognition (BioNER) systems has mostly been manually labelled for supervision. However, it might be difficult to find large amounts of annotated data, especially in fields with a high level of specialization, such as biomedical, bioinformatics, and so on. When dictionaries and ontologies are available, which are domain-specific knowledge resources, automatically tagged distantly supervised biomedical training data can be developed. However, any such distantly supervised NER result is normally noisy. The prevalence of false positives and false negatives with this type of autonomously generated data is the main problem that directly affects efficiency. This research investigates distant supervision to detect false positive occurrences in BioNER task. A reinforcement learning technique is employed that is modelled as a graphical processing unit (GPU) accelerated Markov decision process (MDP) with a neural network policy. To deal with false negative cases, we employ a partial annotation conditional random field (CRF) technique. Results on two benchmark datasets show a cutting-edge methodology that can enhance the functionality of the neural NER system. It goes on to show how the proposed approach cuts down on human annotated data for BioNER tasks in Natural Language Processing (NLP).
Deep neural networks and gradient-weighted class activation mapping to classify and analyze EEG
Authors: Gireesh Elakkat D. , Skinner Holly , Seo Joohee , Ching Po , Hyeong Lee Ki , Baumgartner James , Gurupur Varadraj
Published: March 2023

Deep Neural Networks (DNN) have significantly improved the capabilities for analysis and classification of data, including that of biomedical signals (eg. ElectroencephalogramEEG). Optimal classification of EEG signals from seizure onset zones has been challenging especially given the complexity of signals arising from multiple locations. Also, underlying electrophysiological abnormalities which signify epileptogenic zones have not been clearly defined. Previous studies have demonstrated, automatic feature generation based on deep learning as a useful tool for interictal epileptiform discharge (IEDs) detection. Also signals with transformations have been used in convolutional neural network (CNN) based models in the past for classifying EEG data. We explored the use of deep learning for identification of the seizure onset zones using regular dense neural network and CNN based models. After the training the model using sample data the results were validated with a smaller percentage (10%) of the data. The models were noted to be accurate in predicting the seizure onset zones with significant degree of accuracy (87–99%) with a much shorter duration of signal recorded, compared to previous studies. We further investigated model’s decision-making process with heatmapping (gradient-weighted class activation map: Grad-CAM) approach, combining with signal processing using Hilbert transform. To identify the visible features in the signal, which maximally contribute to the seizure onset zone prediction, correlation of heatmap and analytical signal of the EEG, was calculated. A high correlation between heatmap and analytical signal was noted, suggesting that the model may be utilizing the higher power regions of the data in decision making process. This study demonstrates the potential use of DNN based strategies in identifying the epileptogenic zones in the intracranial EEG. It also shows the heatmapping strategies can help in establishing how specific signal patterns may be contributing to the decision making of DNN.
Everyday Driving and Plasma Biomarkers in Alzheimer’s Disease: Leveraging Artificial Intelligence to Expand Our Diagnostic Toolkit
Authors: Bayat Sayeh , Roe Catherine M. , Schindler Suzanne , Murphy Samantha A. , Doherty Jason M. , Johnson Ann M. , Walker Alexis , Ances Beau M. , Morris John C. , Babulal Ganesh M.
Published: March 2023

Background: Driving behavior as a digital marker and recent developments in blood-based biomarkers show promise as a widespread solution for the early identification of Alzheimer’s disease (AD). Objective: This study used artificial intelligence methods to evaluate the association between naturalistic driving behavior and blood-based biomarkers of AD. Methods: We employed an artificial neural network (ANN) to examine the relationship between everyday driving behavior and plasma biomarker of AD. The primary outcome was plasma Aβ42/Aβ40, where Aβ42/Aβ40 < 0.1013 was used to define amyloid positivity. Two ANN models were trained and tested for predicting the outcome. The first model architecture only includes driving variables as input, whereas the second architecture includes the combination of age, APOE ɛ4 status, and driving variables. Results: All 142 participants (mean [SD] age 73.9 [5.2] years; 76 [53.5%] men; 80 participants [56.3% ] with amyloid positivity based on plasma Aβ42/Aβ40) were cognitively normal. The six driving features, included in the ANN models, were the number of trips during rush hour, the median and standard deviation of jerk, the number of hard braking incidents and night trips, and the standard deviation of speed. The F1 score of the model with driving variables alone was 0.75 [0.023] for predicting plasma Aβ42/Aβ40. Incorporating age and APOE ɛ4 carrier status improved the diagnostic performance of the model to 0.80 [>0.051]. Conclusion: Blood-based AD biomarkers offer a novel opportunity to establish the efficacy of naturalistic driving as an accessible digital marker for AD pathology in driving research.
CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) Neuropsychology Assessment Battery: 35 Years and Counting
Authors: Fillenbaum Gerda G. , Mohs Richard
Published: March 2023

Background: In 1986, the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) was mandated to develop a brief neuropsychological assessment battery (CERAD-NAB) for AD, for uniform neuropsychological assessment, and information aggregation. Initially used across the National Institutes of Aging-funded Alzheimer’s Disease Research Centers, it has become widely adopted wherever information is desired on cognitive status and change therein, particularly in older populations. Objective: Our purpose is to provide information on the multiple uses of the CERAD-NAB since its inception, and possible further developments. Methods: Since searching on “CERAD neuropsychological assessment battery” or similar terms missed important information, “CERAD” alone was entered into PubMed and SCOPUS, and CERAD-NAB use identified from the resulting studies. Use was sorted into major categories, e.g., psychometric information, norms, dementia/differential dementia diagnosis, epidemiology, intervention evaluation, genetics, etc., also translations, country of use, and alternative data gathering approaches. Results: CERAD-NAB is available in ∼20 languages. In addition to its initial purpose assessing AD severity, CERAD-NAB can identify mild cognitive impairment, facilitate differential dementia diagnosis, determine cognitive effects of naturally occurring and experimental interventions (e.g., air pollution, selenium in soil, exercise), has helped to clarify cognition/brain physiology-neuroanatomy, and assess cognitive status in dementia-risk conditions. Surveys of primary and tertiary care patients, and of population-based samples in multiple countries have provided information on prevalent and incident dementia, and cross-sectional and longitudinal norms for ages 35–100 years. Conclusion: CERAD-NAB has fulfilled its original mandate, while its uses have expanded, keeping up with advances in the area of dementia.
A basic study on braking and regenerative braking torques for an axial gap type eddy current brake
Authors: Morishita Naoki , Funaki Michiro , Kikuchi Yoshimi , Wakiwaka Hiroyuki , Sonehara Makoto , Sato Toshiro
Published: March 2023

Because of growing demand in the aircraft industry, research is being conducted around the world to reduce CO2 emissions by electrifying aircraft. The authors are studying a non-contact hybrid aircraft brake that combines an eddy current brake and a magnetorheological fluid brake. This paper presents a basic study of braking and regenerative torque using an axial gap type eddy current brake. The result as that a maximum braking torque of 51.3 mNm was obtained with a three-phase AC power supply when the speed of the conductor disc was 2,000 rpm, the current was 3 A, and the frequency was 10 Hz in the CW direction. The maximum regenerative torque was 48 mNm when the speed of the conductor disc was 2,000 rpm, the current was 3 A, and the frequency was 10 Hz in the CCW direction.
Trichloroethylene: An Invisible Cause of Parkinson’s Disease?
Authors: Dorsey E. Ray , Zafar Maryam , Lettenberger Samantha E. , Pawlik Meghan E. , Kinel Dan , Frissen Myrthe , Schneider Ruth B. , Kieburtz Karl , Tanner Caroline M. , De Miranda Briana R. , Goldman Samuel M. , Bloem Bastiaan R.
Published: March 2023

The etiologies of Parkinson’s disease (PD) remain unclear. Some, such as certain genetic mutations and head trauma, are widely known or easily identified. However, these causes or risk factors do not account for the majority of cases. Other, less visible factors must be at play. Among these is a widely used industrial solvent and common environmental contaminant little recognized for its likely role in PD: trichloroethylene (TCE). TCE is a simple, six-atom molecule that can decaffeinate coffee, degrease metal parts, and dry clean clothes. The colorless chemical was first linked to parkinsonism in 1969. Since then, four case studies involving eight individuals have linked occupational exposure to TCE to PD. In addition, a small epidemiological study found that occupational or hobby exposure to the solvent was associated with a 500% increased risk of developing PD. In multiple animal studies, the chemical reproduces the pathological features of PD.

Exposure is not confined to those who work with the chemical. TCE pollutes outdoor air, taints groundwater, and contaminates indoor air. The molecule, like radon, evaporates from underlying soil and groundwater and enters homes, workplaces, or schools, often undetected. Despite widespread contamination and increasing industrial, commercial, and military use, clinical investigations of TCE and PD have been limited. Here, through a literature review and seven illustrative cases, we postulate that this ubiquitous chemical is contributing to the global rise of PD and that TCE is one of its invisible and highly preventable causes. Further research is now necessary to examine this hypothesis.
Visualization of the Movement Disorder Society Unified Parkinson’s Disease Rating Scale Results
Authors: Hixson Jaimie , Quintero Jorge E. , Guiliani Ashley , Yamasaki Tritia R. , Gerhardt Greg A. , Slevin John T. , van Horne Craig G.
Published: March 2023

We sought to design a data visualization platform to represent the Movement Disorder Society- Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) item scores in an easy-to-use display without modification of the raw data or summary scores. Score items for Parts I, II, and IV were arranged as separate inline blocks, while Part III item blocks were arranged in an anatomical fashion. A color scale was created to represent symptom severity and changes observed from one exam to another. We have found the visualization helpful for quickly defining the most troublesome symptoms and their anatomical location enabling communication of the results and interpretations.
Construction accident prevention: A systematic review of machine learning approaches
Authors: Cavalcanti Marília , Lessa Luciano , Vasconcelos Bianca M.
Published: March 2023

BACKGROUND: The construction industry is an important productive sector worldwide. However, the industry is also responsible for high numbers of work-related accidents, which highlights the necessity for improving safety management on construction sites. In parallel, technological applications such as machine learning (ML) are used in many productive sectors, including construction, and have proved significant in process optimizations and decision-making. Thus, advanced studies are required to comprehend the best way of using this technology to enhance construction site safety. OBJECTIVE: This research developed a systematic literature review using ten scientific databases to retrieve relevant publications and fill the knowledge gaps regarding ML applications in construction accident prevention. METHODS: This study examined 73 scientific articles through bibliometric research and descriptive analysis. RESULTS: The results showed the publications timeline and the most recurrent journals, authors, institutions, and countries-regions. In addition, the review discovered information about the developed models, such as the research goals, the ML methods used, and the data features. The research findings revealed that USA and China are the leading countries regarding publications. Also, Support Vector Machine – SVM was the most used ML method. Furthermore, most models used textual data as a source, generally related to inspection reports and accident narratives. The data approach was usually related to facts before an accident (proactive data). CONCLUSION: The review highlighted improvement proposals for future works and provided insights into the application of ML in construction safety management.
The Global Financial Cycle and the Effects of Fed Unconventional Monetary Policies on Foreign Portfolio Flows in Colombia
Authors: Cardozo-Alvarado Nathali , Castañeda-Arévalo David , Gamboa-Estrada Fredy , Miguélez-Márquez Javier
Published: March 2023

Evaluar los efectos de la política monetaria de EE. UU. en los flujos de portafolio es importante para los hacedores de política, ya que podría afectar la eficacia de la política monetaria local. Este artículo analiza los efectos del Ciclo Financiero Global (CFG) y los anuncios de política monetaria no convencional de la Reserva Federal (Fed) sobre los flujos de inversión extranjera de portafolio en Colombia entre 2010 y 2018. Usando un modelo de mínimos cuadrados ordinarios con correlación serial corregida, encontramos que los anuncios de política monetaria no convencional de la Fed afectaron los flujos de portafolio en Colombia, especialmente los relacionados con Tapering, Operación Twist y Forward Guidance. Estos anuncios reforzaron los efectos del CFG durante el período analizado. Los resultados por tipo de flujo indican que los flujos de deuda soberana son más sensibles a los anuncios de la Fed que los flujos de bonos y acciones privados.
KURGUDAN GERÇEKLİĞE: EDEBİYATIMIZDA VE BİR NUMUNE OLARAK İNŞA MECMUALARINDA SEBEB-İ TELİFLERE DAİR
Authors: Alp Gökhan
Published: March 2023

Osmanlı sahası Türk edebiyatı, farklı sahalara sirayet eden binlerce numune ile çeşitli başlıklar altında tetkik edilmek durumundadır. Edebî geleneğin tespitine birçok açıdan medar olacak mektuplardan terekküp eden, devrin tarihî, siyasî, sosyal yönünü aksettiren ve taşıdığı bazı bilgiler bakımından tek kaynak durumunda olan inşa mecmuaları bu noktada önem arz etmektedir. Manzum eserler ile temeyyüz eden edebiyatımızda tezkirelerin gölgesinde kalan bu çerçevenin çok çeşitli konu başlıkları altında ele alınacağı bir yazı dizisi söz konusudur. Ele aldığımız mevcut çalışma inşa mecmualarının kaleme alınma sebebine dair bir kapsam ile bu yazı dizisinin bir numunesini oluşturmaktadır. Genel kabuller etrafında sebeb-i telife dair yorumlamaların gerçek ve kurgusal metin düzleminde ele alınması, konunun bağlamının kendi paradigmaları ile okunması ve nihayetinde inşa mecmularında eserlerin sebeb-i teliflerine dair izahatlar çalışmanın muhteviyatını oluşturmaktadır.
The Interrelationship Between Persistent Asthma and Atopy in Children
Authors:   School of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran., Pouyanfar Rahman , Mansouri Mahboubeh ,   Department of Allergy and Clinical Immunology, Mofid Children’s Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mousavi Khorshidi Mohadese Sadat ,   Department of Pediatrics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Hashemitari Paniz ,   School of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran., Nabavi Saeed ,   Department of Pediatrics, School of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran., Norolahi Seyed Mohammad ,   School of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran., Darougar Sepideh ,   Department of Pediatrics, School of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran.
Published: March 2023

Background: Childhood asthma is mainly developed by an interplay between genetic and environmental factors. Atopic asthma has been regarded as the most common form of asthma in the pediatric age group. Therefore, we aimed to evaluate the role of atopy in inducing uncontrolled asthma in children. Materials and Methods: Seventy-five children between 1 to 14 years of age, referred to The Asthma and allergy clinics of Azad University hospitals for a period of one year because of wheezing and or chronic cough with a diagnosis of asthma were enrolled in this cross-sectional study. After scrutinizing the children’s medical history relevant to their asthmatic manifestations, they were evaluated with a skin prick test (SPT) for common aero and food allergens. Results: Thirty-five asthmatic children had positive SPTs with their mean age higher than those with negative skin test results (P≤0.0001). In those with positive SPTs, the symptoms recurred if the medications were discontinued within a month of symptom improvement (P=0.001). The same results were true considering the history of previous atopic disorders in response to the discontinuation of therapy (P<0.0001). Conclusion: To conclude, in most patients with negative skin tests, symptoms of asthma improved in less than a month from the initiation of appropriate therapies. However, in those with positive SPTs and a history of atopy, the symptoms recurred if the medications were discontinued within less than a month of symptom improvement (P=0.001 and P<0.0001, respectively).
Immune Regulation by Regulatory Cells
Authors:   Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hashemi Seyed Mahmoud
Published: March 2023

Inflammation is a protective response that occurs in response to tissue injury and microbial infections. A significant advancement has been made in our understanding of inflammation, which is one of the most fundamental concepts in medicine. Immunoregulation of immune-mediated inflammatory diseases depends on Th17/Treg balance. Costimulatory receptors, cytokines, metabolic pathways, and the intestinal microbiome all affect this balance in inflammatory conditions. Maintaining a functional equilibrium between these two subsets is very important to design an appropriate and effective treatment strategy.
The Formulation of Good Governance Fiqh for Indonesia as a Welfare State
Authors: Solikhudin Muhammad , Zainullah Moh.
Published: March 2023

This study departs from the fact that fiqh, which is the religious guideline for Muslims, does not yet contain specific formulations of good governance that are relevant and increasingly needed in today's state life, especially for Indonesian moslem. This study is intended to identify the principles of good governance and formulate them by looking at their relevance to Indonesia in the context of the welfare state. For that purpose, this study uses the documentation method by collecting and interpreting qualitative data from fiqh books, the 1945 Constitution, and relevant laws and regulations in Indonesia. This study shows that in fiqh books that contain discussions or allude to citizenship and state administration, there are principles of deliberation, justice, welfare, and mutual benefit. These principles can be formulated as good governance fiqh that is relevant to Indonesia which contains the principles of legal certainty, legal urgency, and legal universality. Legal certainty includes accountability and justice. The legal urgency includes aspects of transparency and professionalism. While the universality aspect of law is in the form of guaranteeing general welfare and mutual benefit.