Arousal, Gray's theory of anxiety, and the etiology of psychopathy.

This paper focuses on Jeffrey Gray's theory of anxiety from the perspective of Fowles' (1980) application of his work to theories of arousal, psychophysiology, and the etiology of psychopathy. Although highly influential, the concept of general arousal failed to find support in terms of between-individuals assessment with multiple physiological measures. Gray's constructs of a behavioral inhibition system (BIS) that mediates anxiety, a behavioral approach or activation system (BAS) that energizes behavior to approach rewards, and a nonspecific arousal system that energizes behavior captured aspects of arousal. Fowles (1980) proposed that the BIS elicits electrodermal activity in response to threats, the BAS increases heart rate in response to reward incentive cues, and psychopathy is associated with a weak BIS. The paper reviews Gray's impact on future research on these topics, including early proposals relevant to the National Institute of Mental Health's Research Domain Criteria. Finally, the paper summarizes the evolution of theories of the etiology of psychopathy since 1980, noting ways in which aspects of Gray's theory are still seen in psychopathy research. Patrick's triarchic model has emerged as a major theory of psychopathy. Beauchaine's trait impulsivity theory of Attention Deficit Hyperactivity Disorder also is relevant.

Effect of advanced rider assistance system on powered two wheelers crashes.

Advanced Rider Assistance Systems (ARAS) are solutions developed to reduce the crashes rate of Powered Two Wheelers (PTWs). They assist riders in their driving task by transmitting information on their environment or by automatically controlling the dynamics of their vehicle. This study describes a methodology for evaluating the impact of 14 ARAS on PTWs crashes. This methodology consists first of establishing links between ARAS functionalities and riders' failures in crashes situations. Then, an analysis of real crashes cases was conducted using two reals crashes databases: the "In-depth crashes investigation at the Laboratory of Accident Mechanisms Analysis (LMA)" in Salon-de-Provence, France, and the "Initiative for the Global harmonization of Accidents Data". A total of 390 crashes were analyzed. The results showed that ARAS had an influence on 61.5% of the crashes studied. ARAS benefits at the French national level were also assessed, with a weighting of the results obtained. In the French national data, the Anti-lock Braking System had the highest overall impact among the ARASs, estimated to have influenced 39.1% of crashes. Next, emergency braking systems influenced 30.1% of crashes, and an anti-collision warning system had an impact on 29.8% of crashes. This work provided an initial assessment of the most promising technologies for PTWs road safety. It could be used to guide industry and road safety policy towards the development of the most beneficial systems, and the introduction of standards or regulations.

A bipolar intuitionistic fuzzy decision-making model for selection of effective diagnosis method of tuberculosis.

OBJECTIVES: Tuberculosis (TB) is a contagious illness caused by Mycobacterium tuberculosis. The initial symptoms of TB are similar to other respiratory illnesses, posing diagnostic challenges. Therefore, the primary goal of this study is to design a novel decision-support system under a bipolar intuitionistic fuzzy environment to examine an effective TB diagnosing method. METHODS: To achieve the aim, a novel fuzzy decision support system is derived by integrating PROMETHEE and ARAS techniques. This technique evaluates TB diagnostic methods under the bipolar intuitionistic fuzzy context. Moreover, the defuzzification algorithm is proposed to convert the bipolar intuitionistic fuzzy score into crisp score. RESULTS: The proposed method found that the sputum test (T3) is the most accurate in diagnosing TB. Additionally, comparative and sensitivity analyses are derived to show the proposed method's efficiency. CONCLUSION: The proposed bipolar intuitionistic fuzzy sets, combined with the PROMETHEE-ARAS techniques, proved to be a valuable tool for assessing effective TB diagnosing methods.

Risk assessment of firefighting job using hybrid SWARA-ARAS methods in fuzzy environment.

Identification and risk assessment of hazards using classic methods have various flaws, such as ambiguity and uncertainty in the data, inability to correctly reflect the human thinking style, failure to assign weight to criteria, use of predetermined data and tables, and the evaluator's role in the results of the risk assessment process. Therefore, developing these methods and creating approaches with higher accuracy and sensitivity is necessary. This study utilized a developed method that integrated SWARA's weighting methods and ARAS prioritization using Fine-Kinney criteria in a fuzzy environment to evaluate the risks of the firefighting job. The sensitivity analysis results confirmed the accuracy and applicability of the proposed method. Based on the study's results, the inhalation of harmful gases and smoke (R3) was identified as the most critical risk, while concern about the optimal operation (R21) was considered the least dangerous risk in firefighting.

Picture fuzzy Additive Ratio Assessment Method (ARAS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for multi-attribute decision problem and their application.

The purpose of this paper is to study the multi-attribute decision-making problem under the fuzzy picture environment. First, a method to compare the pros and cons of picture fuzzy numbers (PFNs) is introduced in this paper. Second, the correlation coefficient and standard deviation (CCSD) method is used to determine the attribute weight information under the picture fuzzy environment regardless of whether the attribute weight information is partially unknown or completely unknown. Third, the ARAS and VIKOR methods are extended to the picture fuzzy environment, and the proposed PFNs comparison rules are also applied in the PFS-ARAS and PFS-VIKOR methods. Fourth, the problem of green supplier selection in a picture-ambiguous environment is solved by the method proposed in this paper. Finally, the method proposed in this paper is compared with some methods and the results are analyzed.

Memories without Survival: Personal Identity and the Ascending Reticular Activating System.

Lockean views of personal identity maintain that we are essentially persons who persist diachronically by virtue of being psychologically continuous with our former selves. In this article, I present a novel objection to this variant of psychological accounts, which is based on neurophysiological characteristics of the brain. While the mental states that constitute said psychological continuity reside in the cerebral hemispheres, so that for the former to persist only the upper brain must remain intact, being conscious additionally requires that a structure originating in the brainstem-the ascending reticular activating system-be functional. Hence, there can be situations in which even small brainstem lesions render individuals irreversibly comatose and thus forever preclude access to their mental states, while the neural correlates of the states themselves are retained. In these situations, Lockeans are forced to regard as fulfilled their criterion of diachronic persistence since psychological continuity, as they construe it, is not disrupted. Deeming an entity that is never again going to have any mental experiences to be a person, however, is an untenable position for a psychological account to adopt. In their current form, Lockean views of personal identity are therefore incompatible with human neurophysiology.

An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets.

It is imperative to comprehensively evaluate the function, cost, performance and other indices when purchasing a hypertension follow-up (HFU) system for community hospitals. To select the best software product from multiple alternatives, in this paper, we develop a novel integrated group decision-making (GDM) method for the quality evaluation of the system under the interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs). The design of our evaluation indices is based on the characteristics of the HFU system, which in turn represents the evaluation requirements of typical software applications and reflects the particularity of the system. A similarity is extended to measure the IVq-ROFNs, and a new score function is devised for distinguishing IVq-ROFNs to figure out the best IVq-ROFN. The weighted fairly aggregation (WFA) operator is then extended to the interval-valued q-rung orthopair WFA weighted average operator (IVq-ROFWFAWA) for aggregating information. The attribute weights are derived using the LINMAP model based on the similarity of IVq-ROFNs. We design a new expert weight deriving strategy, which makes each alternative have its own expert weight, and use the ARAS method to select the best alternative based on these weights. With these actions, a GDM algorithm that integrates the similarity, score function, IVq-ROFWFAWA operator, attribute weights, expert weights and ARAS is proposed. The applicability of the proposed method is demonstrated through a case study. Its effectiveness and feasibility are verified by comparing it to other state-of-the-art methods and operators.

Integrated MCDM Approaches for Exploring the Ideal Therapeutic Plastic Disposal Technology: Probabilistic Hesitant Fuzzy Domain.

The probabilistic hesitant fuzzy set (PHFS) is a useful extended version of the hesitant fuzzy set (HFS), which allows decision-makers greater freedom in espousing their preferences through the use of hesitant evidence in the real DM method. As the implications for individuals and global concerns have grown, efficient clinical diagnosis of medical waste has been a major challenge, particularly in developing countries. Medical waste can be disposed of in a variety of ways. The essential thing is to decide which strategies work best. The optimal healthcare plastic waste disposal (HCPWD) option is a MCDM method involving a wide range of qualitative characteristics. The MCDM technique (ARAS) is then described, whereby the criterion weights are assessed using the recommended entropy weighted method (EWM) proportion and score function in order to increase the process utilisation. Moreover, the above-described approach is used to address a real-world problem by determining the optimal treatment option for healthcare waste (HCW) disposal. Finally, a feasibility analysis is given to support the stated viewpoint on HCPWD options being prioritised.

Parabrachial-insular stimulation does not wake mice.

The parabrachial nucleus (PB) in the upper brainstem receives interoceptive information and sends a massive output projection directly to the cerebral cortex. Its glutamatergic axons primarily target the midinsular cortex, and we have proposed that this PB-insular projection promotes arousal. Here, we test whether stimulating this projection causes wakefulness. We combined optogenetics and video-electroencephalography (vEEG) in mice to test this hypothesis by stimulating PB axons in the insular cortex. Stimulating this projection did not alter the cortical EEG or awaken mice. Also, despite a tendency toward aversion, PB-insular stimulation did not significantly alter real-time place preference (RTPP). These results are not consistent with the hypothesis that the direct PB-insular projection is part of the ascending arousal system.NEW & NOTEWORTHY A brainstem region critical for wakefulness overlaps the medial parabrachial nucleus (PB) and has functional and direct axonal connectivity with the insular cortex. In this study, we hypothesized that this direct projection from the PB to the insular cortex promotes arousal. However, photostimulating PB axons in the insular cortex did not alter the cortical EEG or awaken mice. This information constrains the possible circuit connections through which brainstem neurons may sustain arousal.

Classifying environmental significance levels of production-oriented operational activities with F-ARAS and F-MOORA methods.

In most decision analysis approaches, application results are obtained in the form of a ranking or selection set. However, classification is needed for analysis of results. In this study, "environmental significance levels and range values" were created for the ranking results obtained using fuzzy Multi Criteria Decision Making approaches. Environmental significance levels have been established for 26 operational activities for which environmental impacts have been determined. Operational activities were analyzed using the Fuzzy-Additive Ratio Assessment (F-ARAS), Fuzzy-Multi Objective Optimization by Ratio Analysis (F-MOORA) Ratio, and F-MOORA Reference Point methods with six evaluation criteria, including the total impact score criteria. The results obtained were analyzed with "environmental significance levels and range values," which can also be named as environmental risk classes created for the first time in this study depending on the changes in standard deviation. According to the comparison results, when F-ARAS and F-MOORA Ratio methods were evaluated together, 19 activities were in the same class (73%). Integr Environ Assess Manag 2023;19:763-774. © 2022 SETAC.

Capoeta ekmekciae Turan, Kottelat, Kirankaya & Engin, 2006, a junior synonym of Capoeta capoeta (Güldenstädt, 1773) (Teleostei: Cyprinidae).

Some recent works have proposed that Capoeta ekmekciae from the Çoruh River and C. capoeta from the Kura-Aras River system are synonyms based on molecular data, which prompted this study to compare their morphometric, meristic and molecular data to investigate this hypothesis. Based on the results, the C. ekmekciae form displays morphometric and meristic traits quite similar to the C. capoeta form. Since there are no diagnostic traits to distinguish these two allopatric species from each other and they share identical cytb gene, we treat C. ekmekciae as a junior synonym of C. capoeta.

Key performance indicator based dynamic decision-making framework for sustainable Industry 4.0 implementation risks evaluation: reference to the Indian manufacturing industries.

Global corporate giants are keen to adopt Industry 4.0 (I4.0) owing to its continuous, impactful, and evident benefits. However, implementing I4.0 remains a significant challenge for many organizations, mainly due to the absence of a systematic and comprehensive framework. The risk assessment study is key to the flawless execution of any project is a proven fact. This paper aims to develop a KPIs-based sustainable integrated model to assess and evaluate risks associated with the I4.0 implementation. This research paper has developed the I4.0 risks evaluation model through fifteen expert interventions and an extensive systematic literature review. This research, based on sixteen KPIs evaluates six risks impacting the organization's decision to adopt I4.0. Initially, the Fuzzy Decision-Making Trial and Evaluation Laboratory method is used to map the causal relationship among the KPIs. Further, the additive ratio assessment with interval triangular fuzzy numbers method is used to rank the risks. The study revealed that information technology infrastructure and prediction capabilities are the most crucial prominence and receiver KPIs. Simultaneously, technological and social risks are found to be highly significant in the I4.0 implementation decision-making process. The developed model meticulously supports the manufacturer's, policymaker, and researchers' viewpoint toward I4.0 implementation in the present and post COVID-19 pandemic phases in manufacturing companies. The comprehensive yet simple model developed in this study contributes to the larger ambit of new knowledge and extant literature. The integrated model is exceptionally based on the most prominent risks and a wider range of KPIs that are further analyzed by aptly fitting two fuzzy MCDM techniques, which makes the study special as it perfectly takes care of the uncertainties and vagueness in the decision-making process. Hence, this study is pioneering and unique in context to I4.0 risks prioritization aiming to accelerate I4.0 adoption.

Spatial distribution of microplastics pollution in sediments and surface waters of the Aras River and reservoir: An international river in Northwestern Iran.

Microplastics (MPs) in freshwater environments have been recognized as one of the important sources of plastic contamination in marine ecosystems. Reducing the amount and spatial distribution of MPs reaching the sea through accumulation behind dams remains unclear. In this study we analyzed the spatial distribution of sediment and surface water MPs in the Aras Dam and from nineteen upstream and downstream locations of the Dam in the Aras River. The MPs abundance ranged from 32 to 528 items/kg dry weight (mean 217.8 ± 132.6) and 1 to 43 items/m3 (mean 12.8 ± 10.5) in the sediment and surface water stations, respectively. MPs abundance in surface waters collected within the Dam reservoir was significantly higher than those found either upstream or downstream (P < 0.05). For sediments, reservoir MPs concentration was generally higher than upstream and downstream, although their differences were not significant. High MPs concentration was observed in the vicinity of urban areas. Moreover, MPs abundance was positively correlated with total organic carbon (TOC) and clay content (P < 0.01). GAM analysis revealed that clay is the most important variable with lowest Akaike information criterion (AIC) and explained 61.3 % of deviance (R-sq.(adj) = 0.344) in MPs abundance. MP particles ranged from 0.1 to 5 mm in size and were dominated by fibers (53.5 %), black color (24 %) and PE polymer (36.6 %). Our results highlight the high MPs distribution in the Aras River and demonstrate that they accumulate in the surface waters behind the Dam. Consequently, the fate and effects of MPs in international rivers is one of the most politicized issues between countries with a common boundary and therefore needs joint management policies that help mitigate this insidious problem.

Antioxidant potential and fatty acid profile of fish fillet: effects of season and fish species.

The objectives of the present study were to investigate the effect of season and fish species on the antioxidant capacity, fatty acids profile, and vitamin E content of fish fillets from Aras River. The antioxidant potential of hydrophilic and lipophilic extracts of fish fillets was evaluated. The fillet extracts of zander and bream in summer and common carp in winter had the highest antioxidant activity. Palmitic and oleic acids were the major saturated (SFA) and monounsaturated (MUFA) fatty acids, respectively. The fatty acids C22:6n3 and C20:5n3 were the most abundant polyunsaturated (PUFA) fatty acids in all the fishes. In summer, the highest levels of SFA (44.09), total PUFA (25.97), n3 PUFA (20.71) and n3/n6 ratio (4) were found in zander. In winter, the highest amounts of total PUFA and n3 PUFA were determined in silver carp, followed by zander. The highest n3/n6 ratio was also found in silver carp. The ratio of PUFA/SFA was higher in winter than in summer for all the fishes. Vitamin E content of fishes was largely varied. In conclusion, seasonal variation changed the antioxidant potential and fatty acid composition of fish fillets. Aras River fishes, especially zander, possess excellent antioxidant activity and high nutritional quality.

Trophic transfer, bioaccumulation, and health risk assessment of heavy metals in Aras River: case study-Amphipoda- zander - human.

Heavy metals (As, Pb, Cd, and Cu) were traced in a model of the aqueous food chain in the Aras River, located in northwest of Iran. The selected model included the zander (Sander lucioperca L.) and crustacean species known as amphipods (Gammarus sp.) which belong to the food chain of this ray-finned fish. A total of 172 samples (70 fish and 102 amphipods) were collected randomly and analyzed for heavy metals using atomic absorption spectrophotometry (AAS). The results showed that the accumulation of heavy metals in both taxa are in the order of As > Pb > Cd > Cu, and concentrations of heavy metals in fish muscle are higher than Gammarus sp. in all stations in different seasons. Specimens of station (1) displayed the highest heavy metal content due to local industrial activities. The recorded concentrations of As, Pb, and Cd exceed the permissible limits. There is a close correlation between the concentrations of heavy metals in the amphipods and zanders. Target hazard quotient (THQ), total target hazard quotient (TTHQ), and carcinogenic risk (CR) were calculated to assess risks to human health. The average of THQ for As (1.43) exceeded the international standards and presenting health risks to the consumers of this fish species. The TTHQ for heavy metals was estimated higher than 1. At all stations, the value of CRCd > 1 × 10-3 indicating the degree of carcinogenicity of this metal in all parts of the Aras River. Therefore, according to our results, efficient control measures and regular biomonitoring should be established in this region.

Low-carbon tourism strategy evaluation and selection using interval-valued intuitionistic fuzzy additive ratio assessment approach based on similarity measures.

Recently, the assessment and selection of most suitable low-carbon tourism strategy has gained an extensive consideration from sustainable perspectives. Owing to participation of multiple qualitative and quantitative attributes, the low-carbon tourism strategy (LCTS) selection process can be considered as multi-criteria decision-making (MCDM) problem. As uncertainty is usually occurred in LCTSs evaluation, the theory of interval-valued intuitionistic fuzzy sets (IVIFSs) has been established as more flexible and efficient tool to model the uncertain decision-making problems. The idea of the present study is to develop an extended method using additive ratio assessment (ARAS) framework and similarity measures in a way to find an effective solution to the decision-making problems using IVIFSs. The bases of the proposed method are the IVIFSs operators, some modifications in the traditional ARAS framework and a calculation procedure of the weights of the criteria. To calculate criterion weight, new similarity measures for IVIFSs are developed aiming at the achievement of more realistic weights. Also, a comparison is demonstrated to the currently used similarity measures in order to show the efficiency of the developed approach. To confirm that the developed IVIF-ARAS approach can be successfully employed to practical decision-making problems, a case study of LCTS selection problem is considered. The final results from the developed approach and the extant models are compared for the validation of the proposed approach in this study.

Pharmaceutical Supply chain Risk Assessment During COVID-19 Epidemic.

The global health products supply chain is negatively influenced by the COVID-19 pandemic. Moreover, the risks in the pharmaceutical supply chain (PSC) have increased. Assessment and mitigation risks in PSC are essential issues to control and counter these risks. In this study, a 2-Tuple ARAS-BWM approach, which combines ARAS and BWM methods under linguistic 2-Tuple environment, is proposed to evaluate and address various risks to the best mitigation strategies in the pharmaceutical industry in Tunisia during COVID-19. Noted that the main risk identified in the PSC is related to supply and suppliers and its best mitigation strategy is reducing risk.

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era.

A shortage of empty containers has become a global crisis with more devastating effects than during previous periods when combined with various problems arising from the COVID-19, such as an increase in an imbalance of global trade between supply and demand, a decrease in the workforce, and restrictions by countries or regional quarantine practices. The absence of empty containers in regions where they are needed slows down industrial activities and locks the global supply networks, necessitating the use of alternative methods that are inefficient. Although this shortage causes many disruptions in global trade, solutions to the issue have not been studied in detail. Therefore, the aim of this study was to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions. Four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions, were proposed based on information from the literature, sectorial publications, and expert opinions. The issues' weighted order of importance in our proposed model was calculated using the SWARA (Step-wise Weight Assessment Ratio Analysis) method; solutions were ranked using the ARAS (Additive Ratio Assessment) method. The results of the study revealed that the issues were ranked in importance as cost increases, uncertainty in the supply chain, volume loss, and increases in blank sailing announcements. Appropriate solutions were ranked as booking guarantee applications and information communication technologies, using shipper-owned containers, inducement calls, and E2E (end to end) delivery services.

Adult Mosquito Fauna of Kura-Aras Basin

Objective: To identify the adult mosquito species of Kura-Aras Basin, which includes Kars-Ardahan Plateau and Aras Valley, mosquito sampling was done in August and September 2020. Methods: Adult mosquitoes were collected using new Jersey light traps and mouth aspirators. Results: A total of 5.361 adult mosquito species belonging to five genera (Aedes caspius, Aedes vexans, Anopheles hyrcanus, Anopheles maculipennis s.l., Anopheles superpictus, Culex hortensis, Culex theileri, Culex pipiens s.l., Coquillettidia richiardii, Culiseta annulata, Culiseta longiearolata and Culiseta subochera) were sampled. Conclusion: Species detected in the study area are important vectors for public health, since they carry pathogens, such as malaria, West Nile virus, and various nematodes. These species can be used for arbovirus and malaria research studies.

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID-19 testing laboratory selection problem.

The multiple attribute decision-making models are empowered with the support of fuzzy sets such as intuitionistic, q-rung orthopair, Pythagorean, and picture fuzzy sets, and also neutrosophic sets, etc. These concepts generate varying representation opportunities for the decision-maker's preferences and expertise. Pythagorean and Fermatean fuzzy sets are special cases of q-rung orthopair fuzzy set when q = 2 and q = 3, respectively. From a geometric perspective, the latter provides a broader representation domain than the former does. In this study, the emerging concept of Fermatean fuzzy set is studied in detail and three well-known multi-attribute evaluation methods, namely SAW, ARAS, and VIKOR are extended under Fermatean fuzzy environment. In this manner, the decision-makers will have more freedom in specifying their preferences, thoughts, and expertise, and the abovementioned decision approaches will be able to handle this new type of data. The applicability of the propositions is shown in determining the best Covid-19 testing laboratory which is an important topic of the ongoing global health crisis. To validate the proposed methods, a benchmark analysis covering the results of the existing Fermatean fuzzy set-based decision methods, namely TOPSIS, WPM, and Yager aggregation operators is presented.