Alternative Behaviors Research Articles

Age-Related Effects of AT1 Receptor Antagonist Losartan on Cognitive Decline in Spontaneously Hypertensive Rats.

Both hypertension and aging are known to increase the vulnerability of the brain to neurovascular damage, resulting in cognitive impairment. The present study investigated the efficacy of the antihypertensive drug losartan on age- and hypertension-associated cognitive decline and the possible mechanism underlying its effect in spontaneously hypertensive rats (SHRs). Losartan was administered (10 mg/kg, i.p. for 19 days) to 3- and 14-month-old SHRs. Age-matched Wistar rats were used as controls. Working memory, short-term object recognition, and spatial memory were assessed using the Y-maze, object recognition test (ORT) and radial arm maze (RAM) test. The expression of markers associated with aging, oxidative stress, and memory-related signaling was assessed in the frontal cortex (FC) and hippocampus. Motor activity measured over 24 h was not different between groups. Middle-aged vehicle-treated SHRs showed poorer performance in spontaneous alternation behavior (SAB) and activity in the first Y-maze test than their younger counterparts, suggesting age-related reduced "decision making" and reactivity in a novel environment. Losartan improved the age- and hypertension-induced decline in short-term recognition and spatial memory measured in the ORT and the second Y-maze test, particularly in the middle-aged rats, but was ineffective in the young adult rats. Changes in memory and age-related markers such as cAMP response element-binding protein (CREB) and amyloid-β1-42 (Aβ1-42) and increased oxidative stress were observed in the hippocampus but not in the FC between young adult and middle-aged vehicle-treated SHRs. Losartan increased CREB expression while reducing Aβ1-42 levels and concomitant oxidative stress in middle-aged SHRs compared with vehicle-treated SHRs. In conclusion, our study highlights the complex interplay between hypertension, aging, and cognitive impairment. It suggests that there is a critical time window for therapeutic intervention with angiotensin II type 1 receptor blockers.

The Specification of a Computational Model of Physical Activity Habit.

The influence of habit on physical activity is computationally modeled as the aggregated influence of past behavioral choices a person makes in a given context. We hypothesize that the influence of habit on behavior can be enhanced through engagement of the target behavior in a particular context or weakened through engagement of alternative behaviors in that context.

Compliance and alternative behaviors of heavy gamers in adolescents to Chinese online gaming restriction policy.

In 2021, China implemented a policy to prevent adolescents from excessive online gaming, with the goal of encouraging healthier leisure activities. Three months after this policy was implemented, we conducted a study involving 430 Chinese adolescents who regularly played online games for over two hours daily before the policy. We collected their responses to the restriction, including their compliance with the policy, engagement in undesirable alternative behaviors (e.g., watching short videos), and engagement in desirable alternative behaviors (e.g., playing sports). We also collected data on individual factors, parental technology interference, and feelings of restriction to use as predictors for behaviors, including those related to violating the restriction or watching short videos. A small percentage of heavy gamers violated the restriction by renting others' game accounts (3%) or using a family member's identity (14%), while 59% of the sample shifted to watching short videos. Heavy gamers who lived in rural areas, spent more time on online games prior to the policy, did not feel restricted from playing online games, and experienced parental technology interference were more likely to violate the restriction. Females or those lacking stable hobbies were more inclined to watch short videos. Although the policy restricted heavy gaming, it has also led to increased short video use. Policymakers could explore alternative approaches, such as developing infrastructure that supports outdoor leisure activities in rural areas, encouraging parents to model responsible technology use behaviors, and guiding adolescents to cultivate positive hobbies in their leisure time.

A novel adaptive PID controller with new seesaw algorithms using alternative derivatives

ABSTRACT The PID controller is present in at least 90% of industrial applications due to its simplicity and robustness to control linear and non-linear systems. Its main drawbacks include difficulty in achieving proper gains tuning for complex systems and lack of adaptability attributed to its fixed gains when system dynamics change. Despite the emergence of promising controllers like Neural Networks, Fuzzy Logic, Sliding Modes, or Genetic Algorithms, diverse research efforts focus on using these to improve the PID rather than replacing it, aiming for either ideal fixed gains or adaptive gains. Nevertheless, while some require system models, training data, rules establishment, extensive iterations, and demanding computational resources, the PID and the novel APID controller do not. The new seesaw algorithms propose alternative behaviours based on the current error and its derivative, which are dynamic parameters that change over time. These behaviours can be inserted into the PID to imbue it with adaptive characteristics, achieving adaptive PID ( SeesawAPID ) controllers with faster signal rise and stabilization times, reduction of the maximum peak, and less error accumulation compared to conventional PID .

Penerapan Differential Reinforcement of Alternative Behavior dalam Mereduksi Perilaku Adiksi Smartphone di SMP Negeri 51 Surabaya

Smartphones in the digital age are an inseparable object in everyday life. Both parents and children are its users. The use of smartphones if not used wisely will have a negative impact, one of which is addiction. Smartphone addiction is also often found in the school environment, due to the lack of self-control and time management skills so that it disrupts their activities. This results in problems such as withdrawal, decreased direct or face-to-face interaction, decreased grades, lack of focus and making individuals less sensitive to the surrounding environment. The method used in this community service uses qualitative with the type of guidance and counseling action research (PTBK) using differential reinforcement of alternative behavior techniques. The selection of the technique aims to reduce unwanted behavior by replacing other alternative behaviors that are based on the interest of students. Other alternatives that are considered capable of reducing these behaviors such as reading books, paskibraka, hanging out with friends, and also cooking activities. The results of the community service obtained that the differential reinforcement of alternative behavior technique is effectively applied to junior high school children to reduce smartphone addiction with changes according to the desired target.

DRA dengan Token Ekonomi untuk Menurunkan Perilaku Makan yang Menyimpang: Sebuah Studi Kasus pada Anak

Children of homeless people often experience various issues, one of which is eating behavior problems. Eating food from trash cans is a common eating behavior problem encountered. Therefore, an intervention is needed to reduce this issue. This case study aims to test the effectiveness of differential reinforcement of alternative behavior (DRA) with token economy in reducing eating behavior problems. Assessment is conducted through interviews, observations, and psychological tests, while the intervention is carried out over nine sessions. The results of the intervention show a decrease in the behavior of taking food from trash cans. In addition to replacing old behavior with more adaptive behavior, the role of attention from adults around them is one of the main contributors to the effectiveness of the intervention.

Exploring animal protein sources against prevent age-related short-term memory decline in mice: Dietary fish (Alaska Pollock) protein exhibits superior protective effects.

Dietary factors, particularly proteins, have been extensively explored to combat cognitive impairment. We have previously reported that dietary fish (Alaska Pollock) protein (APP) is more effective than casein (CAS) or fish oil in maintaining short-term memory in senescence-accelerated mice prone 10 (SAMP10). To examine the specificity of the protective effect of APP intakes against short-term memory decline, we assessed the impact of various dietary animal proteins, including APP, CAS, chicken breast protein (CP), and whey protein (WP), against age-related cognitive function in SAMP10 mice. After feeding the experimental diets for 5 months, memory was assessed using the Y-maze. The APP group exhibited a significant increase in spontaneous alternation behavior as an indicator of working memory when group compared with groups fed with other protein source. Additionally, the APP group displayed significantly higher neurofilament heavy chain positivity than the CAS and CP groups, as evidenced immunohistochemical analysis. Gut microbiota analysis indicated that dietary APP significantly enhanced the relative abundance of Lactobacillus, which positively correlated with spontaneous alternation behavior. Collectively, these findings suggest that dietary APP is more effective than CAS, CP, or WP in preventing age-related short-term memory decline and morphological abnormalities in the hippocampal axons of SAMP10 mice. Moreover, APP-mediated improvements in cognitive deficits may be associated with changes in microbiota diversity. PRACTICAL APPLICATION: This research suggests that dietary fish protein from Alaska Pollock may be more efficient in prevention short-term memory decline in mice, compared to other animal proteins. This finding has practical implications for nutritional optimization, developing the new health food products, and elucidating the relationship between the impact of specific proteins on gut microbiota and prevention of age-related cognitive decline.

Tracking states and transitions in semiarid rangelands: A spatiotemporal archetypal analysis of productivity dynamics using wavelets

Climate change poses challenges in classifying ecosystem dynamics, as they are influenced by shifting dynamics resulting from changes in climate forces and meteorological variables, including temperature and water availability. To address this, our study presents a novel approach using Continuous Wavelet Transform (CWT) and power spectrum analysis to classify vegetation dynamics, considering the time-dependent variability of ecosystem frequencies. We applied our method to centred and standardized MODIS NDVI time series for the period 2000–2021, using an experimental field station in northern Patagonia as a case study. By performing a continuous wavelet transform on the data for each pixel, we obtained instantaneous power spectra, capturing variability across different dates and pixels. These spectrums were then consolidated into a comprehensive database, and subsequently classified using archetypal analysis. We identified a convex combination of archetypal spectrums that best represented the entire power spectrum database. Mapping the resulting archetypes and their weights in both space and time allowed us to explore pixels' variations in archetype weights in relation to factors such as time, topography, and climate. In addition, to examine the potential relationship between the NDVI time series and climate drivers, we computed the Average Cross-Wavelet Power Spectrum (ACWPS) to different climatic indices. Three archetypes were sufficient to explain the majority of power spectrum variability in the study area. These archetypes exhibited distinctive characteristics: 1) medium-frequency variability (2–4 years), 2) low-frequency variability (>4 years), and 3) an annual (i.e. seasonal) cycle with low-frequency variability. Spatially, the first two archetypes were predominantly observed in highland steppes, while the third archetype prevailed in lowland areas associated with meadows. At the beginning of the studied period, Archetypes 1 and 3 dominated, but after the Puyehue-Cordón Caulle Volcanic Complex eruption in 2011 their prominence diminished, and Archetype 2 became more prevalent in the whole study area. Finally, all three NDVI series representative of archetypes showed a relative peak at approximately four years, which could be linked to the Indian Ocean Dipole variability. These results highlight an abrupt shift in the system's behaviour, primarily related to changes in variability distribution rather than mean values. This disturbance-induced transition aligns with the theory of state and transitions in ecological system dynamics. We propose that the states in this model are not fixed but represent alternative dynamic behaviours, akin to different types of limit cycles. Consequently, employing a wavelet analysis-based classification method provides a robust means of studying and understanding such variability and transitions, thereby offering clarity and comprehension of ecosystem states. Notably, this methodology proves particularly effective for large databases of detailed time series.

The well-posedness of semilinear fractional dissipative equations on [formula omitted]

In this paper, we study the well-posedness of time-space fractional dissipative equations. Combining the Hörmander-multipliers theory and asymptotic property of the Mittag-Leffler functions, we give a useful method to estimate the solution operator which is independent of the C0-semigroup generated by the fractional Laplace operator (−Δ)β2 and the Mainardi's Wright type function. Furthermore, we discuss the global/local well-posedness in some appropriate time-space Lebesgue space and Besov spaces. We also obtain several results about blow-up alternative and asymptotic behavior. The approaches are based on the Hörmander-multipliers theory, Gagliardo-Nirenberg inequalities, fixed point techniques, Sobolev embedding and some methods in harmonic analysis.

Adaptive behavior of intercity travelers within urban agglomeration in response to adverse weather: Accounting for multilayer unobserved heterogeneity

Travelers often change their behavior in reaction to adverse weather conditions. This paper seeks to conduct an empirical evaluation of both ordered and unordered discrete outcome frameworks for examining the adaptive behavior decisions of intercity travelers and investigate the varying effects of explanatory factors on different alternatives of adaptive behavior during adverse weather. The data from 754 respondents in the Beijing-Tianjin-Hebei urban agglomeration, China are collected by a two-phase survey instrument. To capture the unobserved heterogeneity more effectively, this paper develops three advanced models to investigate the variations in intercity travel behavior during adverse weather. Four alternative adaptive behaviors are determined as outcome variables: maintaining original travel plans, changing only the intercity mode, changing the departure date, and canceling the trip, while potential influencing factors including adverse weather conditions, trip-related characteristics, individual attributes and urban agglomeration attributes are statistically assessed. The results indicate that the unordered models consistently outperform their ordered counterparts, and the incorporation of multilayer heterogeneity enhances the model fit. Furthermore, significant factors and their coefficient values vary across the different adaptive behavior alternatives. Intercity travelers demonstrate a higher probability of changing departure dates or canceling trips during snowy and windy days compared to rainy and foggy days. Trains exhibit higher flexibility and reliability during adverse weather, and access attributes significantly affect intercity travel adaptive behavior. Additionally, the analysis of individual and urban agglomeration attributes uncovers variations in adaptive behavior among individuals and cities. These findings provide profound insights into the complexities and variations of intercity travel behavior during adverse weather, and propose practical strategies to mitigate the detrimental impacts of adverse weather on intercity travelers.

Application of a terminal schedule probe method to inform schedule thinning with multiple schedules.

Multiple schedules are effective at decreasing challenging behavior and maintaining alternative behavior at acceptable levels. Currently, no conclusive guidance is available for empirically deriving multiple-schedule components (continuous reinforcement for alternative behavior and extinction for challenging behavior [discriminative stimulus] and extinction for both alternative and challenging behavior [delta stimulus]) during the schedule-thinning process. In the current investigation, we describe a terminal schedule probe method to determine delta stimulus starting points and strategies for subsequent schedule-thinning progressions to reach caregiver-informed terminal schedules. We review schedule-thinning outcomes for a clinical cohort using a consecutive controlled case series approach and report results for two groups: One group included applications of terminal probe thinning (n = 24), and the other involved traditional dense-to-lean thinning (n = 18). Outcomes suggest that the terminal schedule probe method produced effective treatments with less resurgence of challenging behavior and leaner, more feasible, multiple schedules.

Risk of migration: not all gregarious locust nymphs reach appropriate refuges.

Sedentary animals choose appropriate refuges against predators, while migratory ones may not necessarily do so. In ectotherms, refuge selection is critical during low temperatures, because they cannot actively evade predators. To understand how migratory ectotherms alter their defensive behaviors depending on refuge quality in cold temperatures, we evaluated migratory gregarious desert locust nymphs (Schistocerca gregaria) in the Sahara Desert, where daily thermal constraints occur. We recorded how roosting plant type (bush/shrub) and its height influenced two alternative defense behaviors (dropping/stationary) during cold mornings, in response to an approaching simulated ground predator. Most locusts in bushes dropped within the bush and hid irrespective of their height, whereas those roosting > 2 m height in shrubs remained stationary. These defenses are effective and match with refuge plant types because dynamic locomotion is not required. When nymphs roosted on shrubs < 1.5-m height, which was an unsafe position, nearly half showed both defensive behaviors, indicating that escaping decisions become ambiguous when the refuges are inappropriate. These results suggest that locusts display flexible defensive behaviors when finding appropriate refuges and selecting refuge before daily thermal limitations occur could be critical for migratory ectotherms, which is a risk associated with migration.

Exploring drivers of overnight stays and same-day visits in the tourism sector

We employ mobile network data referred to the area of Lombardy in Italy to investigate alternative touristic behaviours, such as same-day visits and overnight stays in Italy. We show that larger availability of tourism accommodations, cultural and natural endowments are relevant factors explaining overnight stays. Conversely, temporary entertainment and transportation facilities increase municipalities attractiveness for same-day visits. The results also highlight a trade-off in the capability of municipalities of being attractive in connection to both the tourism behaviours. For instance, higher tourists arrivals are observed in areas receiving limited visitors, coming from municipalities with low same-day visits outflows. We highlight mobile data offer an adequate level of spatial and temporal granularity and can be thus employed to support policy makers in the design of effective tourist management strategies.

Prevalence of Electronic Cigarette Smoking Among Students of Shaqra University, Saudi Arabia.

Background Electronic cigarettes are devices that use a flavored nicotine solution instead of burning tobacco leaves. Since their emergence, e-cigarettes have gained popularity in Saudi Arabia, particularly among young adults. Recently, many non-smoking youths have begun to use e-cigarettes as an alternative social behavior. Recent studies have confirmed that e-cigarettes have harmful effects on the respiratory system. Approximately 48.5 million Europeans have used an e-cigarette at least oncewhile 7.5 million Europeans currently use e-cigarettes. This study aims to assess the prevalence of e-cigarette use and possible addictiveness among Shaqra University students. Methodology This is a cross-sectional studyconducted at Shaqra University in 2021. A total of 290 students (18 years old and older) from Shaqra University were included in our study. The subjects were selected through simple random sampling. A self-administered online questionnaire related to e-cigarettes was used. Results Completed questionnaires were obtained from 290 students (average age of 20.2 ± 1.8 years). A total of 58 (20.1%) of the respondents were e-cigarette users. The obtained results showed that the mean age of e-cigarette smokers was 20.5 years, e-cigaretteusage significantly differed between age groups (p < 0.001), and the highest prevalence of e-cigarette smoking was in Shaqra Governorate (i.e., 13.1%). Conclusion It's vital to acknowledge that the capacity for addiction to e-cigarettes is comparable to traditional smoking and other nicotine-containing items. It's essential to consistently observe students and smokers to better understand the effects of vaping patterns on this specific group.

"It's an ongoing discussion about desire": Adults' strategies for managing sexual and affectionate desire discrepancies in romantic relationships.

Desire discrepancies are a common source of relationship conflict and one reason adults may seek couples counseling. Within romantic relationships, adults individually experience sexual and affectionate desire, but also experience desire relative to their partner. If desire discrepancies exist, partners may attempt to resolve these discrepancies. Thus, we examined adults'strategies for managing sexual and affectionate desire discrepancies. Our sample consisted of 300 adults (45% women; Mage = 29.5; 86.3% LGBTQ+) who were in a romantic relationship and reported a desire discrepancy. Thematic analysis revealed five strategies for managing desire discrepancies: alternative behaviors, communication, doing nothing, engaging in behaviors anyway, and giving control to a specific partner. Adults reported similar strategies for resolving sexual and affectionate desire discrepancies. Perceived effectiveness and strategies varied by whether adults thought that their discrepancies were problematic. Our findings hold implications for clinicians approaching problematic desire discrepancies, and suggest strategies that may promote effective resolutions.

Deciphering molecular events behind Systemin-induced resistance to Botrytis cinerea in tomato plants.

Plant defence peptides are paramount endogenous danger signals secreted after a challenge, intensifying the plant immune response. The peptidic hormone Systemin (Sys) was shown to participate in resistance in several plant pathosystems, although the mechanisms behind Sys-induced resistance when exogenously applied remain elusive. We performed proteomic, metabolomic, and enzymatic studies to decipher the Sys-induced changes in tomato plants in either the absence or the presence of Botrytis cinerea infection. Sys treatments triggered direct proteomic rearrangement mostly involved in carbon metabolism and photosynthesis. However, the final induction of defence proteins required concurrent challenge, triggering priming of pathogen-targeted proteins. Conversely, at the metabolomic level, Sys-treated plants showed an alternative behaviour following a general priming profile. Of the primed metabolites, the flavonoids rutin and isorhamnetin and two alkaloids correlated with the proteins 4-coumarate-CoA-ligase and chalcone-flavanone-isomerase triggered by Sys treatment. In addition, proteomic and enzymatic analyses revealed that Sys conditioned the primary metabolism towards the production of available sugars that could be fuelling the priming of callose deposition in Sys-treated plants; furthermore, PR1 appeared as a key element in Sys-induced resistance. Collectively, the direct induction of proteins and priming of specific secondary metabolites in Sys-treated plants indicated that post-translational protein regulation is an additional component of priming against necrotrophic fungi.

Promoting Safety While Addressing Dangerous Behavior via Telehealth: A Clinical Case Investigation Serving the Family of an Autistic Adolescent Living in India

When clinicians address dangerous behavior via remote telehealth consultation, it may be especially important to ensure remote implementers can apply behavioral interventions in a manner that keeps recipients and implementers safe while still achieving effective outcomes. We present the case of a 13-year-old autistic adolescent with limited communication skills, living in South India, whose dangerous behavior was escalating and becoming more pervasive during the pandemic quarantine, putting himself and his family at risk. In this study, we evaluated the effects of an enhanced choice model of skill-based treatment—informed by a practical functional assessment of dangerous behavior. We systematically replicated and extended procedures that have been shown to address dangerous behavior while avoiding difficult situations that place the individual and others at risk. The intervention yielded elimination of dangerous and associated non-dangerous behavior and socially valid acquisition of multiple alternative behaviors. We report multiple strategies to overcome barriers unique to remotely addressing dangerous behavior and discuss implications for the safe, telehealth application of behavior analysis in research and practice.

Evaluating the Role of Economic Factors in Sustainable Consumption Behaviour

The research paper investigates the intricate nexus between economic factors and sustainable consumption behaviour, providing a nuanced exploration of how such considerations shape an individual’s choice in the realm of environmental responsibility. Drawing on established theories of consumer behaviour and sustainability, this study employs a positivist approach encompassing quantitative surveys and analysis. It scrutinises the effects of prices, expectations and other broader economic conditions on the adoption of sustainable practices. The findings contribute significantly to the existing body of knowledge by providing a holistic understanding of the economic levers instrumental in driving towards sustainable consumption like taste and preferences and price or hindering the shift towards sustainable consumption like societal behaviour and availability of alternatives. This research aims to inform policymakers, businesses and consumers alike, facilitating the development of targeted interventions and initiatives that foster a harmonious convergence of economic and ecological goals.

Tenuifolin improves learning and memory by regulating long-term potentiation and dendritic structure of hippocampal CA1 area in healthy female mice but not male mice

Polygala tenuifolia Wild is an ancient traditional Chinese medicine. Its main component, tenuifolin (TEN), has been proven to improve cognitive impairment caused by neurodegenerative diseases and ovariectomy. However, there was hardly any pharmacological research about TEN and its potential gender differences. Considering the reduction of TEN on learning and memory dysfunction in ovariectomized animals, therefore, we focused on the impact of TEN in different mice genders in the current study. Spontaneous alternation behavior (SAB), light-dark discrimination, and Morris water maze (MWM) tests were used to evaluate the mice's learning and memory abilities. The field excitatory postsynaptic potential (fEPSP) of the hippocampal CA1 region was recorded using an electrophysiological method, and the morphology of the dendritic structure was examined using Golgi staining. In the behavioral experiments, TEN improved the correct rate in female mice in the SAB test, the correct rate in the light-dark discrimination test, and the number of crossing platforms in the MWM test. Additionally, TEN reduced the latency of female mice rather than male mice in light-dark discrimination and MWM tests. Moreover, TEN could significantly increase the slope of fEPSP in hippocampal Schaffer-CA1 and enhance the total length and the number of intersections of dendrites in the hippocampal CA1 area in female mice but not in male mice. Collectively, the results of the current study showed that TEN improved learning and memory by regulating long-term potentiation (LTP) and dendritic structure of hippocampal CA1 area in female mice but not in males. These findings would help to explore the improvement mechanism of TEN on cognition and expand the knowledge of the potential therapeutic value of TEN in the treatment of cognitive impairment.

The dynamic state of a prefrontal-hypothalamic-midbrain circuit commands behavioral transitions.

Innate behaviors meet multiple needs adaptively and in a serial order, suggesting the existence of a hitherto elusive brain dynamics that brings together representations of upcoming behaviors during their selection. Here we show that during behavioral transitions, possible upcoming behaviors are encoded by specific signatures of neuronal populations in the lateral hypothalamus (LH) that are active near beta oscillation peaks. Optogenetic recruitment of intrahypothalamic inhibition at this phase eliminates behavioral transitions. We show that transitions are elicited by beta-rhythmic inputs from the prefrontal cortex that spontaneously synchronize with LH 'transition cells' encoding multiple behaviors. Downstream of the LH, dopamine neurons increase firing during beta oscillations and also encode behavioral transitions. Thus, a hypothalamic transition state signals alternative future behaviors, encodes the one most likely to be selected and enables rapid coordination with cognitive and reward-processing circuitries, commanding adaptive social contact and eating behaviors.