Behavioral Profile Research Articles

The ultrasonic vocalization (USV) syllable profile during neonatal opioid withdrawal and a kappa opioid receptor component to increased USV emissions in female mice.

Opioid use during pregnancy can lead to negative infant health outcomes, including neonatal opioid withdrawal syndrome (NOWS). NOWS comprises gastrointestinal, autonomic nervous system, and neurological dysfunction that manifest during spontaneous withdrawal. Variability in NOWS severity necessitates a more individualized treatment approach. Ultrasonic vocalizations (USVs) in neonatal mice are emitted in isolation as a stress response and are increased during opioid withdrawal, thus modeling a negative affective state that can be utilized to test new treatments. We sought to identify the behavioral and USV profile, brainstem transcriptomic adaptations, and role of kappa opioid receptors in USVs during neonatal opioid withdrawal. We employed a third trimester-approximate opioid exposure model, where neonatal inbred FVB/NJ pups were injected twice-daily with morphine (10mg/kg, s.c.) or saline (0.9%, 20 ul/g, s.c.) from postnatal day(P) 1 to P14. This protocol induces reduced weight gain, hypothermia, thermal hyperalgesia, and increased USVs during spontaneous morphine withdrawal. On P14, there were increased USV emissions and altered USV syllables during withdrawal, including an increase in Complex 3 syllables in FVB/NJ females (but not males). Brainstem bulk mRNA sequencing revealed an upregulation of the kappa opioid receptor (Oprk1), which contributes to withdrawal-induced dysphoria. The kappa opioid receptor (KOR) antagonist, nor-BNI (30 mg/kg, s.c.), significantly reduced USVs in FVB/NJ females, but not males during spontaneous morphine withdrawal. Furthermore, the KOR agonist, U50,488h (0.625 mg/kg, s.c.), was sufficient to increase USVs on P10 (both sexes) and P14 (females only) in FVB/NJ mice. We identified an elevated USV syllable, Complex 3, and a female-specific recruitment of the dynorphin/KOR system in increased USVs associated with neonatal opioid withdrawal severity.

Impact of Fault and Reef on Reservoir Pressure Behavior and Production Profile: Case Study- South Iraqi Oilfield

The study area, which consists of carbonate, is located in the unstable Mesopotamian basin on the Arabian plate, which makes it a field with high heterogeneity. It has a discrepancy in its bubble point pressure, which raises concerns about the faults or reefs that caused it. The study's main objective is to determine how faults and reefs impact production performance and pressure behavior under a future development strategy. This goal will be achieved by completing the necessary seismic, static, and dynamic models. After re-evaluating the seismic survey data, the seismic analysis detected many irregular amplitudes of reflected events and abrupt discontinuities, indicating either a reef or a fault. The static model was built based on seismic possible results and to make them as inputs for building the reservoir model. Based on the history-matching results, faults were detected, while reefs were ruled out. The development plan was implemented for the next 20 years in four cases, and case four had the most favorable results among all the cases, with production plateauing at 140 MSTB/D and a cumulative volume equal to 1.09 MMMSTB. The reservoir pressure behavior shows a hierarchical drop in all cases, with some differences, including a sharp decline in the area of the proposed wells and the fault, which has become a compartment that prevents reservoir compensation from adjacent regions.

Protocol of health screening related to occupational diseases in 100 000 workers in critical sectors: a cross-sectional study with worksite risk assessment

BackgroundOccupational diseases are one of the most important health problems related to employment However, in Malaysia, there are few epidemiological studies discussing these issues, especially among workers in the industry....

Latent Class Analysis of Sexual Partnerships and Substance Use Across Generations.

Sexually transmitted infections (STIs) remain an important public health concern for people of all age groups, with older age groups experiencing a notable increase in STI burden. Historically, most research into STI risk behaviors has focused on adolescents and young adults, leaving a paucity of research on the ways STI risk factors change over the life course. Additionally, age and cohort trends in STI risk factors can be challenging to investigate with standard statistical tools as they can be collinear and are subject to sociocultural and generational influences. To help address these issues, we used multi-group latent class analysis to identify and compare risk behavior profiles defined by responses to three sexual activity and three substance use variables, across and within four age groups. We identified six behavior profiles in the unstratified dataset and five behavior profiles in each of the four age stratified groups. The five behavior profiles identified in each of the age categories appear to reflect a similar set of five underlying profile "archetypes," with the exact composition of each age category's five profiles varying in the magnitude that specific behaviors are endorsed. Interestingly, despite the similarity of profiles across the four age groups, analyses indicate that the experience of belonging to any one of these five archetypes differs by age group. This variance is likely due group specific age, period, and cohort effects, and may indicate that, when estimating one's STI risk, it is better to compare them to their peers than to the population as a whole.

Experimental investigation of combustion characteristics of ammonia with sub-bituminous coal in a pilot circulating fluidized bed combustor

Recent research on power plant technology has focused on employing ammonia as a supplementary fuel with coal to reduce carbon dioxide emissions from coal-fired power plants. However, most of this research has concentrated on pulverized coal systems, with fewer studies on circulating fluidized bed (CFB) combustion systems. Additionally, no research has analyzed combustion and environmental impacts under varying operational conditions with a fixed ammonia co-firing ratio. This study advances the development of coal–ammonia co-firing technology for use in CFB power plants by conducting experiments on a 50 kWth CFB combustion test rig. The co-firing characteristics were evaluated by progressively increasing the ammonia co-combustion rate to 20%, calculated on a high calorific value basis relative to sole coal combustion. Furthermore, this research explored the variations in operational conditions during 20% ammonia co-firing to assess their effects on the temperature distribution within the combustor and the composition of the exhaust gases. The findings elucidate the combustion efficiency, thermal behavior, and emission profiles associated with coal–ammonia co-firing, thereby guiding the optimization of operational strategies to minimize the carbon footprint of CFB power plants.

PERSONAL BRANDING: DIAGNOSTIC MODEL AND PROCESS FOR ENHANCING THE PERSONAL BRAND

The proposed research aims to explore the influence of self-knowledge on personal brand management, based on the Personal Branding Questionnaire adapted for Brazilian culture. The study aims to validate the hypothesis that there is a positive correlation between the understanding of values, beliefs and purposes and the development of an effective positioning, as the professional deepens their self-knowledge. The methodology included a systematic review of the literature and the cross-cultural adaptation of the questionnaire, taking into account the cultural differences between Brazil and Portugal, based on Meyer's 8-dimension Model (2015). After applying the questionnaire to 56 professionals from different areas and implementing a structured personal branding model, the questionnaire was reapplied to evaluate the impact of the process. The results showed an increase in the perception of the importance of personal branding after the intervention, confirming that self-knowledge is fundamental for the effective management of the personal brand. The study proposes the Personal Branding Step by Step model to facilitate the diagnosis and enhancement of the personal brand, suggesting future research focusing on neuroplasticity, emotional intelligence and behavioral profile to complement the model.

Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations

There are many studies aimed at promoting positive lifestyle behaviors to reduce lifetime risk of cancer and related diseases. However, assessing these modifiable behaviors through statistical modeling is challenging because of the multidimensionality of interrelated measurements that may dramatically differ between at-risk individuals. Taking into account this heterogeneity while considering the multidimensionality of behavior changes is fundamental to tailoring interventions to their needs. Biomarkers that identify high-risk individuals may help validate proximal measures, but the number of validated methods that link biomarkers to multiple behavioral measurements by determining their dynamic relations with disease risks is limited to just a few, since it requires an advanced statistical methodology to address challenges in analyzing biomarker data, including left-censoring due to limits of detection. To address these challenges, we propose a method that constructs a quantile-specific weighted index of multiple behavioral measurements. Under the quantile regression framework, the proposed method renders a multidimensional view of risk-specific behavioral patterns by connecting them with biomarker levels to provide better insights into heterogeneous behavioral profiles among at-risk populations. We evaluate performances of the proposed method through simulations, and illustrate its applications to the Tu Salud ¡Sí Cuenta! data by examining behavior changes among Mexican-American adults.

Activation of NPY Receptors in the BLA Inhibits Projections to the Bed Nucleus of the Stria Terminalis and Buffers Stress-Induced Decreases in Social Interaction in Male Rats.

Neuropeptide Y (NPY) increases resilience and buffers behavioral stress responses in male rats in part through decreasing the excitability of principal output neurons in the basolateral amygdala (BLA). Intra-BLA administration of NPY acutely increases social interaction (SI) through activation of either Y1 or Y5 receptors, whereas repeated NPY (rpNPY) injections (once daily for 5 d) produce persistent increases in SI through Y5 receptor-mediated neuroplasticity in the BLA. In this series of studies, we characterized the neural circuits from the BLA that underlie these behavioral responses to NPY. Using neuronal tract tracing, NPY Y1 and Y5 receptor immunoreactivity was identified on subpopulations of BLA neurons projecting to the bed nucleus of the stria terminalis (BNST) and the central nucleus of the amygdala (CeA). Inhibition of BLA→BNST, but not BLA→CeA, neurons using projection-restricted, cre-driven designer receptors exclusively activated by designer drug-Gi expression increased SI and prevented stress-induced decreases in SI produced by a 30 min restraint stress. This behavioral profile was similar to that seen after both acute and rpNPY injections into the BLA. Intracellular recordings of BLA→BNST neurons demonstrated NPY-mediated inhibition via suppression of H currents, as seen previously. Repeated intra-BLA injections of NPY, which are associated with the induction of BLA neuroplasticity, decreased the activity of BLA→BNST neurons and decreased their dendritic complexity. These results demonstrate that NPY modulates the activity of BNST-projecting BLA neurons, suggesting that this pathway contributes to the stress-buffering actions of NPY and provides a novel substrate for the proresilient effects of NPY.

Breast phyllodes tumour with epithelioid feature predisposes to malignant transformation

AimsPhyllodes tumours (PTs) are relatively common fibroepithelial tumours comprising epithelial and stromal component. Usually, PTs show a spindle cell morphology with a fibroblast phenotype, while some tumour cells exhibit epithelioid...

Clinical profiles of people enrolling in alcohol and other drug treatment in Australia: Do youth differ from young adults and adults?

To examine and compare age groups on socio-demographic, substance use, mental health, social and risk behaviour profiles of people entering alcohol and other drug (AOD) treatment in a large non-government organisation (NGO) in Queensland and New South Wales, Australia. Design-Cross-sectional study; analysis of baseline routine outcome measures (ROM) and AOD minimum datasets for drug and alcohol treatment services. Setting and participants-People enrolling in Lives Lived Well, a large NGO AOD service between November 2020 and October 2022. Main outcome measures-Socio-demographic, substance use, mental health, social factors and risk behaviours, by youth (≤24 years), young adults (25-35 years) and adults (>35 years). Between November 2020 and October 2022, 9413 clients enrolled in Lives Lived Well (LLW) AOD services and completed baseline ROMs. Over one-fifth (21.9%) were youth (n = 2066), one-third (32.4%) were young adults (n = 3052) and just under half (45.6%) were adults >35 years (n = 4295). The most common primary drug of concern was cannabis for youth, methamphetamine for young adults and alcohol for adults >35 years. Nearly two-thirds (61.3%) reported moderate to severe symptoms of depression and 55.0% reported moderate to severe anxiety. Just under half (47.2%) screened positive for PTSD and two-in-five (40.4%) reported recent suicidal ideation. Co-occurring mental health symptoms were more common in youth compared with young adults and adults >35 years. Co-occurring mental health symptoms were high in the sample, particularly among youth. All age groups present with unique and complex socio-demographic and clinical profiles that are important to understand to provide the most appropriate and effective treatment.

Behavioral risk profiling: Measuring loss aversion of individual investors

Loss aversion has been shown to be a key driver of people's investment decisions. Encouraged by regulators, financial institutions are seeking ways to integrate this behavioral factor into client risk classifications. A critical obstacle is the lack of a valid measurement method for loss aversion that can be straightforwardly incorporated into existing processes. This paper reports on two large-scale implementations of such a method within the risk-profiling application of an established financial institution. We elicit loss aversion for 1,040 employees and 3,740 clients, observing distributions that align with existing findings. Importantly, our results demonstrate that loss aversion is largely independent of the risk-return preferences commonly used for investor classification. Furthermore, the correlations we observe between these two preferences and individuals’ background characteristics align with previous research: loss aversion is strongly correlated with education—higher educated individuals exhibit greater loss aversion—whereas risk aversion is related to gender, age, and financial status—women, older individuals, and those less financially secure are more risk averse. These findings support the conjecture that risk and loss aversion are complementary in capturing investor intent.

Description and predictors of self-determination in males and females with fragile X syndrome on the verge of adulthood.

Self-determination refers to setting goals and making decisions regarding one's own life with support from others as needed. Research on people with intellectual and developmental disabilities has established the importance of self-determination for quality of life outcomes, such as increased independence and life satisfaction. However, self-determination has not been characterised specifically in fragile X syndrome (FXS), the leading inherited cause of intellectual disability. Relative to youth with other forms of intellectual and developmental disabilities, youth with FXS may face exceptional barriers to the development of self-determined behaviour. In addition to intellectual disability, the FXS behavioural profile is characterised by high rates of autism and anxiety that may further limit opportunities for youth with FXS. The heritable nature of the condition can also yield a distinctive family environment, with siblings and parents also living with fragile X or its associated conditions. Considering these unique challenges, the present study examined self-determination in young adult males and females with FXS and explored whether factors such as language skills, adaptive behaviour and autism traits were associated with self-determination capacity and opportunities. The present study included 9 females and 36 males with FXS between the ages of 17 and 25years. Caregivers (mothers or fathers) completed the American Institute for Research Self-Determination Assessment, which is a questionnaire that yields three scores: self-determination capacity, opportunities for self-determination at home and opportunities for self-determination at school. Caregivers endorsed a wide range of self-determination capacity and opportunities, with ratings for opportunities at home and school exceeding ratings of capacity. Better adaptive behaviour skills were associated with more self-determination capacity, and the presence of more autism traits was associated with fewer opportunities at school. Results from this study contribute to our understanding of avenues to best support young adults with FXS as they transition to adulthood. Our findings also have implications for practice, such that interventions targeting adaptive behaviours and self-determination may be an effective approach for promoting autonomy and independence for young adults with FXS. Additionally, caregivers and educators should continue to provide opportunities to practise self-determination, regardless of their perception of capacity.

A gut reaction? The role of the microbiome in aggression

Recent research has unveiled conflicting evidence regarding the link between aggression and the gut microbiome. Here, we compared behavior profiles of control, germ-free (GF), and antibiotic-treated mice, as well as re-colonized GF mice to understand the impact of the gut microbiome on aggression using the resident-intruder paradigm. Our findings revealed a link between gut microbiome depletion and higher aggression, accompanied by notable changes in urine metabolite profiles and brain gene expression. This study extends beyond classical murine models to humanized mice to reveal the clinical relevance of early-life antibiotic use on aggression. Fecal microbiome transplant from infants exposed to antibiotics in early life (and sampled one month later) into mice led to increased aggression compared to mice receiving transplants from unexposed infants. This study sheds light on the role of the gut microbiome in modulating aggression and highlights its potential avenues of action, offering insights for development of therapeutic strategies for aggression-related disorders.

Durable benefit and slowdown in tumor growth dynamics with erdafitinib in a FGFR3-TACC3 fusion-positive IDH-wild type glioblastoma.

FGFR3-TACC3 fusion-positive IDH-wild-type (IDH-WT) glioblastoma (GB) is a rare GB subtype occurring in approximately 3% of cases. It is clinical behavior and molecular profile is different from those of fusion-negative IDH-WT GBs. Evidence on the role of FGFR inhibitors in FGFR-altered gliomas is limited. We present the case of a patient with a FGFR3-TACC3 fusion-positive IDH-WT GB that at its second recurrence was treated with the FGFR inhibitor erdafitinib through a compassionate use program. Although no objective response was achieved, an overt deceleration in tumor growth was evidenced and the patient remained on treatment for 5.5 months.

The role of morphofunctional asymmetries of the female body in the autonomic regulation of heart rate during menopause

The aim of the work was to study the features of autonomic regulation of heart rhythm (HR) in women in the peri- and postmenopausal periods, depending on morphofunctional asymmetries of the female body. A total of 417 women aged 35–60 were examined. According to the lateral behavioral profile of asymmetries of the female body (Annette’s test), the nature of vegetative regulation at rest and orthostasis was determined according to the data of cardiac intervalography using the Varicard 2.51 complex and the Eskim-6 program. As a result, it was found that in the reproductive period in women with the right lateral phenotype, the autonomous circuit of HR variability regulation prevailed, and in ambidextrous women, the central one dominated. Ambidextrous and right-handers were characterized by egalitarian modulation, while left-handers were characterized by a respiratory typology of autonomic regulation of HR. In perimenopause, a moderate tension of regulatory mechanisms was formed in the lateral subgroups, and a high tension was formed in the postmenopausal subgroups. In ambidextrous and left-handers, discoordination of HR regulation prevailed. Thus, women with the polarity of the lateral phenotype in the late reproductive period were distinguished by the stability and economy of the mechanisms of autonomic regulation of HR. Ambidextrous had the most energy-consuming mechanisms in the postmenopausal period, which is a risk of cardiovascular disease pathology.

A multi-symptomatic model of heroin use disorder in rats reveals distinct behavioral profiles and neuronal correlates of heroin vulnerability versus resiliency.

The behavioral and diagnostic heterogeneity within human opioid use disorder (OUD) diagnosis is not readily captured in current animal models, limiting translational relevance of the mechanistic research that is conducted in experimental animals. We hypothesize that a non-linear clustering of OUD-like behavioral traits will capture population heterogeneity and yield subpopulations of OUD vulnerable rats with distinct behavioral and neurocircuit profiles. Over 900 male and female heterogeneous stock rats, a line capturing genetic and behavioral heterogeneity present in humans, were assessed for several measures of heroin use and rewarded and non-rewarded seeking behaviors. Using a non-linear stochastic block model clustering analysis, rats were assigned to OUD vulnerable, intermediate and resilient clusters. Additional behavioral tests and circuit analyses using c-fos protein activation were conducted on the vulnerable and resilient subpopulations. OUD vulnerable rats exhibited greater heroin taking and seeking behaviors relative to those in the intermediate and resilient clusters. Akin to human OUD diagnosis, further vulnerable rat sub-clustering revealed subpopulations with different combinations of behavioral traits, including sex differences. Lastly, heroin cue-induced neuronal patterns of circuit activation differed between resilient and vulnerable phenotypes. Behavioral sex differences were recapitulated in patterns of circuitry activation, including males preferentially engaging extended amygdala stress circuitry, and females cortico-striatal drug cue-seeking circuitry. Using a non-linear clustering approach in rats, we captured behavioral diagnostic heterogeneity reflective of human OUD diagnosis. OUD vulnerability and resiliency were associated with distinct neuronal activation patterns, posing this approach as a translational tool in assessing neurobiological mechanisms underpinning OUD.

Applying Cluster Analysis for the Investigation of Travel Behavior and User Profiles

Applying Cluster Analysis for the Investigation of Travel Behavior and User Profiles

Using Machine Learning Models to Detect the Increasing Threats of Financial Fraud in the Cyberspace

In the dynamic landscape of the financial sector, the escalating menace of financial fraud presents pervasive implications for businesses and consumers alike. Particularly, detecting credit card fraud in real- time transactions has become a pivotal concern within the financial industry. This abstract delves into the critical role of data mining in addressing the complexities of credit card fraud detection, shedding light on the multifaceted challenges that confront this domain. The realm of financial business is increasingly besieged by the spectre of financial fraud, necessitating robust measures to combat its detrimental effects. As the sophistication and prevalence of fraudulent activities continue to evolve, the imperative of deploying effective strategies for fraud detection becomes more pronounced. Applying data mining techniques in this context is paramount in identifying and mitigating credit card fraud. Leveraging advanced data mining methodologies is essential for scrutinising live transactions and discerning anomalous patterns indicative of fraudulent behaviour. Credit card fraud detection poses formidable challenges, primarily attributable to two compelling factors. Firstly, the inherent dynamism of normal and fraudulent behavioural profiles engenders a perpetual need for adaptive and responsive detection mechanisms. Secondly, the highly imbalanced nature of credit card fraud data sets further complicates accurately identifying fraudulent activities, necessitating nuanced approaches to discern anomalies amidst voluminous transactional data effectively. In light of the foregoing, this abstract underscore the criticality of data mining in addressing the intricate landscape of credit card fraud detection, emphasising the need for agile and sophisticated methodologies to navigate the evolving nature of fraudulent behaviours and the skewed distribution of fraud-related data sets. By comprehensively elucidating these challenges, this abstract provides a foundational understanding of the nuanced complexities inherent in combatting financial fraud through the lens of data mining.

Molecular Modeling of some 1,3,4-Oxadiazole Derivatives as EGFR Inhibitors for the Treatment of Cancer

Background: Cancer is a group of illnesses characterised by the impartial increase and unfolding of somatic cells. A variety of natural compounds, such as curcumin, zingiberine and their composites, and synthetic organic derivatives of imidazole, benzothiazole, oxadiazole, quinazoline etc., have been developed as anticancer agents. But many of these show various side effects, drug resilience, and toxicity to the normal cells of the host body. Therefore, there is still demand to develop new synthetic derivatives to improve their pharmacological profile. Objective: The Aim of this study is to understand the binding mode and to check the drug likeliness of numerous 1,3,4-oxadiazole derivatives as EGFR inhibitors for the treatment of cancer. The objective of the study is to screen newly designed derivatives of 1,3,4-oxadiazole using molecular docking and ADMET studies as EGFR inhibitors. Methods: In silico docking studies were performed using AutoDockVina software, and compounds were further studied for ADME and toxicity using SwissADME and pkCSM software, respectively. Results: Considering the docking results, pharmacokinetic behaviour and toxicity profile, eight derivatives (derivatives 2,3,4,5,10,13,16, and 17) showed potential as EGFR inhibitors. Conclusion: Compounds 2 and 3 showed the highest binding affinity in the pocket of EGFR and also displayed a better pharmacokinetic profile. Therefore, these derivatives can be used in the management of cancer and can be taken further for wet-lab studies.

Repeated benzodiazepines ingestions affected behavioral and neurochemical profiles, with mild effect on histological integrities modulatory efficacy of Nigella sativa oil

Repeated benzodiazepines ingestions affected behavioral and neurochemical profiles, with mild effect on histological integrities modulatory efficacy of Nigella sativa oil