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Abstract Background Cognitive decline following surgery is a common concern among elderly individuals. Leukocyte telomere length (LTL) can be assessed as a biological clock connected to an individual lifespan. However, the mechanisms causing this inference are still not fully understood. As a result of this, LTL has the potential to be useful as an aging-related biomarker for assessing delayed neurocognitive recovery (dNCR) and related diseases. Methods For this study, 196 individuals over 60 who were scheduled due to major non-cardiac surgical operations attended neuropsychological testing before surgery, followed by additional testing one week later. The finding of dNCR was based on a measured Z-score ≤ -1.96 on two or more separate tests. The frequency of dNCR was presented as the primary outcome of the study. Secondly, we evaluated the association between dNCR and preoperative LTL. Results Overall, 20.4% [40/196; 95% confidence interval (CI), 14.7–26.1%] of patients exhibited dNCR 1-week post-surgery. Longer LTL was identified as a predictor for the onset of early cognitive impairment resulting in postoperative cognitive decline [odds ratio (OR), 14.82; 95% CI, 4.01–54.84; P

By exploiting the link between time-independent Hamiltonians and thermalisation, heuristic predictions on the performance of continuous-time quantum walks for MAX-CUT are made. The resulting predictions depend on the number of triangles in the underlying MAX-CUT graph. We extend these results to the time-dependent setting with multi-stage quantum walks and Floquet systems. The approach followed here provides a novel way of understanding the role of unitary dynamics in tackling combinatorial optimisation problems with continuous-time quantum algorithms.

BackgroundBesides the established role of dopamine neurons and projections in nociceptive stimuli, the involvement of ventral tegmental area (VTA) glutamatergic projections to nucleus accumbens (NAc) in pain remains unknown. In the present study, we aimed to examine the role of VTA glutamatergic projections to NAc in painful stimuli and its related behavioral changes.MethodsUnilateral chronic constrictive injury (CCI) of sciatic nerve or intraplantar hind paw injections (i.pl.) of complete Freund’s adjuvant (CFA) were used to develop pathological pain models in wild-type and VGluT2-Cre mice. The involvement of VTA glutamatergic neurons with projections to NAc in CCI-induced pain model was noted by c-Fos labeling and firing rate recordings. Pain response and pain-related behavior changes to the artificial manipulation of the VTA glutamatergic projections to NAc were observed by Hargreaves tests, von Frey tests, open field tests, elevated maze tests, and sucrose preference tests.ResultsGlutamatergic neurons in VTA had efferent inputs to shell area of the NAc. The CCI pain model significantly increased neuronal activity and firing rate in VTA glutamate neurons with projections to NAc. The photoinhibition of these glutamatergic projections relieved CCI-induced neuropathic pain and CFA-induced acute and chronic inflammatory pain. Moreover, pathological neuropathic pain-induced anxiety and less sucrose preference were also relieved by inhibiting the VTA glutamatergic projections to NAc.ConclusionTogether, glutamatergic inputs from VTA to NAc contribute to chronic neuropathic and inflammatory pain and pain-related anxiety and depressive behaviors, providing a mechanism for developing novel therapeutic methods.

Environmental or ecological knowledge means understanding the relationship between living organisms and their environment. The study aimed to analyze the knowledge, attitude, and behavioral components of environmental literacy of prospective teachers for quality education in District Lahore. The objective of this study was to assess the ecological literacy of future teachers in terms of the information, attitudes, and behaviors they possess. The methodology employed in this investigation was a quantitative one. A convenient selection sample of 325 graduate aspiring educators at Lahore's 13 public universities enrolled in teacher education programs was chosen. This investigation made use of two data collection tools. The survey was broken up into two sections. Section A contains fundamental demographic information, while Section B is subdivided into three categories; Environmental Attitudes (EA), Environmental Behaviors (EB), and Environmental Knowledge (EK). This study found that prospective educators have a moderate level of ecological literacy. Male prospective teachers were more literate than their female counterparts, but there was no discernible gender gap in environmental literacy. Future educators do have favorable perspectives and actions toward the environment. No significant gender differences in prospective teachers' attitudes or actions were discovered. It is suggested that colleges and universities that prepare future educators must include environmental studies.

Magnetic molecules deposited on a metallic substrate constitute a method to engineer the spin properties of the molecule and has potential application in low-power information storage devices. Here, the authors investigate a superconductor/molecule/normal metal heterostructure and demonstrate spin-ordering and proximity induced superconducting properties at the metallo-molecular interface.

Abstract Background Spinal cord microglia plays a crucial role in the pathogenesis of neuropathic pain. However, the mechanisms underlying spinal microglial activation during neuropathic pain remain incompletely determined. Here, we investigated the role of Pellino1 (Peli1) and its interplay with spinal microglial activation in neuropathic pain. Methods In this study, we examined the effects of Peli1 on pain hypersensitivity and spinal microglial activation after chronic constriction injury (CCI) of the sciatic nerve in mice. The molecular mechanisms involved in Peli1-mediated hyperalgesia were determined by western blot, immunofluorescence, quantitative polymerase chain reaction (qPCR), and enzyme-linked immunosorbent assay (ELISA). We utilized immunoprecipitation to examine the ubiquitination of tumor necrosis factor receptor-associated factor 6 (TRAF6) following CCI. In addition, we explored the effect of Peli1 on BV2 microglial cells in response to lipopolysaccharide (LPS) challenge. Results We found that CCI induced a significant increase in the levels of Peli1, which was present in the great majority of microglia in the spinal dorsal horn. Our results showed that spinal Peli1 contributed to the induction and maintenance of CCI-induced neuropathic pain. The biochemical data revealed that CCI-induced Peli1 in the spinal cord significantly increased mitogen-activated protein kinase (MAPK) phosphorylation, activated nuclear factor kappa B (NF-κB), and enhanced the production of proinflammatory cytokines, accompanied by spinal microglial activation. Peli1 additionally was able to promote K63-linked ubiquitination of TRAF6 in the ipsilateral spinal cord following CCI. Furthermore, we demonstrated that Peli1 in microglial cells significantly enhanced inflammatory reactions after LPS treatment. Conclusion These results suggest that the upregulation of spinal Peli1 is essential for the pathogenesis of neuropathic pain via Peli1-dependent mobilization of spinal cord microglia, activation of MAPK/NF-κB signaling, and production of proinflammatory cytokines. Modulation of Peli1 may serve as a potential approach for the treatment of neuropathic pain.

This study aims to determine the construct validity of the instrument used in the application of Blended Learning. Respondents were randomly selected 60 students from the Department of Geography, Faculty of Mathematics and Natural Sciences, Makassar State University, 60 students from the Department of Biology Education, Faculty of Teacher Training and Education, Patompo University, and 60 students from the Department of Primary Teacher Education, Faculty of Teacher Training and Education, Megarezky University. Construct validity was tested by Confirmatory Factor Analysis (CFA) in Structural Equation Modeling (SEM) through the AMOS 22.0 application. The analysis findings reveal that the indicators employed in developing the Instrument for Blended Learning Model Application encompass the constructs of Orientation, Organization, Investigation, Presentation, Analysis, and Evaluation. These constructs meet the criteria of Construct Reliability, Variance Extracted, and Discriminant Validity. Consequently, the instrument proves suitable for implementation in research examining the application of the Blended Learning Model.

Climate change is one of the trending topics to be discussed at both the practical and political levels. Climate change has a significant effect on rice plants because rice cultivation is dependent on climate elements, especially rainfall, and temperature, the phenomenon of climate change has triggered an increase in the intensity of extreme events such as floods and droughts, causing crop failure, crop failure and even cause puso. Pinrang Regency is one of the regions in Indonesia that feels the impact of climate change on the agricultural sector. The research aims to develop appropriate adaptation strategies to climate change for rice crop management. The technique of collecting data is through in-depth interviews with respondents, namely rice farmers in Pinrang Regency using a purposive sampling technique. Data analysis uses SWOT analysis (strengths, weaknesses, opportunities, and threats), by determining internal factors and external factors and formulating climate change adaptation strategies for rice crop management in Pinrang Regency using an analytical tool, namely the SWOT matrix. The results showed that the strategies that could be implemented for the management of rice plants in Pinrang Regency were cultivating farmers by applying irrigation technology, developing water management technology, optimizing the performance of farmer groups, providing intensive climate information, and cultivating environmentally friendly technologies.

Robust sex difference among humans regarding psychiatry- and pain-related behaviors is being researched; however, the use of female mice in preclinical research is relatively rare due to an unchecked potential behavioral variation over the estrous cycle. In the present study, a battery of psychiatry- and pain-related behaviors are examined under physiological condition in female C57BL/6J mice over different estrous cycle phases: proestrus, estrous, metestrous, diestrous. Our behavioral results reveal that there is no significant difference over different phases of the estrous cycle in social interaction test, sucrose preference test, tail suspension test, open field test, marble burying test, novelty-suppressed feeding test, Hargreaves thermal pain test, and Von Frey mechanical pain test. These findings implicate those psychiatry- and pain-related behaviors in normal female C57BL/6J mice appear to be relatively consistent throughout the estrous cycle; the estrous cycle might not be a main contributor to female C57BL/6J mice’s variability of behaviors.

Objective: To investigate the prevalence of posttraumatic stress symptoms (PTSS) of health care workers (HCWs) who were potentially or directly exposed to patients with coronavirus disease 2019 (COVID-19) in a non-core epidemic area of China. Methods: Psychological conditions were evaluated by the multiple psychological evaluation scales in HCWs at the Affiliated Hospital of Xuzhou Medical University in Xuzhou City (a non-core epidemic area in China) during COVID-19 epidemic. According to the risk of exposure to COVID-19 patients, HCWs were divided into two groups: HCWs with high-risk (HHCW) group (who worked in wards for COVID-19 patients) and HCWs with low-risk (LHCW) group (who worked in wards for non-COVID-19 patients in the same hospital). The clinical data of psychological evaluation scales from HCWs were collected. Results: A total of 171 HCWs were recruited in this study, with 94 (55.0%) HCWs in the HHCW group, and 77 (45.0%) HCWs in the LHCW group. Significant differences were observed in gender, work stress, job risk, and levels of fear and anxiety, and the depression between the two groups (P

Artemisia vulgaris L. (Mugwort or Afsantin) has been used to treat various diseases since ancient times by the inhabitants of Himalayan region-Pakistan. Methanolic fractions (HA1-HA9) obtained from the aerial parts of A. vulgaris were evaluated for their antioxidant, antimicrobial and brine shrimp cytotoxic activities. Fraction HA8 showed substantial phenolics content with value of 26.29±1.4μgEQ/mg and DPPH scavenging (82.84±3.01%). Conversely, total flavonoids content of 7.32±0.07μgEQ/mg was determined in HA1 fraction. Fraction HA1 also showed significant cytotoxic effect with the value LD50 of 144.94μg/mL. Fractions HA7 and HA9 depicted maximum total antioxidant activity and ferric ion reduction (96.25±3.29 and AAE/mg and 176.91±8, respectively). All fractions showed encouraging results against bacterial strains Bordetella bronchiseptica and Micrococcus luteus, while HA2 fraction showed the highest percentage inhibition Mucor species with zone of inhibition of 13.25±0.35mm. A total of 7 fractions showed significant antileishmanial activity with survival percentage ranging 0.00 to 19. To sum up, results of the current study indicated that the plant can be further explored for isolation of antileishmanial and antimicrobial compounds, which could be used for drug development.

Community-engaged patient navigation safety net programs are established as an evidence-based approach to address cancer prevention and early detection efforts, but barriers to expand and sustain such programs persist. In addition, few studies describe how these programs impact buy-in among communities and policy change within health care systems and government. We describe how we used the Capacity for Sustainability Framework to guide efforts for program sustainability and community, institutional, and policy level change in a breast cancer screening and patient navigation safety net program. The nine domains of the Capacity for Sustainability Framework were used to develop program logic models, to inform program implementation and quality improvement agendas, and to guide multi-level partner and stakeholder engagement, outreach, and dissemination of outcomes. The program is currently in its seventh year and continues to be annually funded by a city public health department. In 2021, additional 5-year renewable funding from a state public health department was secured. In addition, institutional program support was expanded for patients diagnosed with breast cancer. Program leaders worked with policymakers to draft legislation to support training certification and third-payor reimbursement for patient navigators and community health workers. The program is well-known and trusted among community members, community-based organizations, and providers. Community, organizational, and policy-level outcomes demonstrate that community-engaged patient navigation safety net programs can influence more than individual and interpersonal outcomes and can be sustained over time.

Carbon-based molecules could prove useful in terahertz and optical devices controlled by pure spin currents. Here, conversely, the authors use spin currents to probe molecular dynamics and enhance the optical response of a fullerene layer, enabling hybrid magneto-molecular optoelectronic devices.

United States institutions of higher education (IHEs) transitioned to online learning in response to the COVID-19 pandemic, and guidelines to reduce risk of spreading or contracting the disease. This large scale, impromptu transition to online learning had implications for students, and IHEs. This study used a survey design to explore the impact of the COVID-19 pandemic on students in IHEs, including the impact of the move to online learning on students learning and well-being. Recruitment focused on college students in IHEs, with a sample drawn from 17 IHEs across America (n = 501). We developed a 91-question survey, to collect information regarding impact of COVID-19, and pandemic-related transition to online learning on participants, as well as participants' well-being. We measured student well-being using the following measures: the Generalized Anxiety Disorder Assessment (GAD-7), the patient Health Questionnaire (PHQ-9), Perceived Social Support scale (PSS), and Multidimensional Scale of Perceived Support (MSPSS). Students with disruptions to online learning were likely to be more stressed, and more anxious. About 88% of students reported facing disruptions to online learning from family members, friends, or pets. Overall, students reported moderate to high levels of stress, anxiety, and depression. And, relatively low levels of perceived social support. The impact of COVID-19 on college students and student learning are multifactorial and represent a combination of benefits and burdens. It is imperative that we take lessons learned for this pandemic and apply it to future learning.

Abstract CNS tumours encompass a diverse group of neoplasms with significant morbidity and mortality. The SHH signalling pathway plays a critical role in the pathogenesis of several CNS tumours, including gliomas, medulloblastomas and others. By influencing cellular proliferation, differentiation and migration in CNS tumours, the SHH pathway has emerged as a promising target for therapeutic intervention. Current strategies such as vismodegib and sonidegib have shown efficacy in targeting SHH pathway activation. However, challenges such as resistance mechanisms and paradoxical effects observed in clinical settings underscore the complexity of effectively targeting this pathway. Advances in gene editing technologies, particularly CRISPR/Cas9, have provided valuable tools for studying SHH pathway biology, validating therapeutic targets and exploring novel treatment modalities. These innovations have paved the way for a better understanding of pathway dynamics and the development of more precise therapeutic interventions. In addition, the identification and validation of biomarkers of SHH pathway activation are critical to guide clinical decision making and improve patient outcomes. Molecular profiling and biomarker discovery efforts are critical steps towards personalised medicine approaches in the treatment of SHH pathway-associated CNS tumours. While significant progress has been made in understanding the role of the SHH pathway in CNS tumorigenesis, ongoing research is essential to overcome current therapeutic challenges and refine treatment strategies. The integration of molecular insights with advanced technologies and clinical expertise holds great promise for developing more effective and personalised therapies for patients with SHH pathway-driven CNS tumours. Graphical Abstract

Exclusionary discipline practices are frequently utilized in schools despite decades of research indicating their ineffectiveness (American Psychological Association Zero Tolerance Task Force, 2008; Losen & Skiba, 2010; Muñiz, 2021). Research shows that removing students from the classroom does not change student behavior, is administered disproportionately to historically marginalized and minoritized groups, and is linked to the school-to-prison pipeline and lower academic achievement (Barnes & Motz, 2018; Losen & Martinez, 2020; Noltemeyer et al., 2015). This study explores the impact of the Inclusive Skill-Building Learning Approach (ISLA), an instructional and restorative alternative to exclusionary discipline practices, on discipline disproportionality. Pre-intervention, implementation, and post-intervention discipline data for 6th through 8th grade students were collected to understand the relation between ISLA and disproportional discipline data by race and gender. The findings suggest that ISLA is an effective tool for reducing overall in-school and out-of-school suspension rates as well as the risk indices for out-of-school suspensions for students of color, yet there is still a need for intervention adaptations to address specific disparities in exclusionary discipline practices. Research findings, study limitations, and implications and directions for future research and practice are further discussed.

Autism spectrum disorder is a developmental disorder that includes deficits in social communication and interaction, and restricted and repetitive behaviours, interests, or activities. This survey was done to assess autism spectrum disorder prevalence in 16- to 30-month-old children at an urban-rural distribution and determine the association of socioeconomic and demographic conditions. An observational cross-sectional study was conducted in 30 districts of Bangladesh. Three-stage cluster sampling was used with 'Red Flag', Modified Checklist for Toddlers and "Diagnostic and Statistical Manual of Mental Disorders, 5th Edition," respectively. Data editing and analysis were done using CSPro 6 and SPSS 23. The survey included 37,982 households (71% rural, 29% urban) with 38,440 children. 'Red Flag' was positive in 209/10,000 children. Modified Checklist for Toddlers was positive in 149/10,000 children. "Diagnostic and Statistical Manual of Mental Disorders, 5th Edition"--positive autism spectrum disorder prevalence was 17/10,000 young children (boys 24/10,000, girls 9.8/10,000). Prevalence was higher in urban than rural (25/10,000 and 14/10,000 respectively). It was 77/10,000 in mothers aged 35-39 years and 23/10,000 in children of fathers aged 40 years. For families within the lowest wealth quintile, the autism spectrum disorder prevalence was 15/10,000. Autism spectrum disorder at very young ages in Bangladesh is still low. It was higher in urban areas, with the advanced age of parents, especially mothers, and in families with higher wealth quintiles.

This article considers starting with an existing SIMIODE modeling scenario [Winkel, B. (2015). 1-031-CoolIt-ModelingScenario. SIMIODE (Version 2.0). "QUBES Educational Resources." https://doi.org/10.25334/3WG8-EC31] that develops Newton's law of cooling by considering data on the cooling of a beaker of water in a room, and expanding upon it to create a longer project modeling the temperature of a building with an internal heat pump that is also subject to a sinusoidal varying outside temperature. The proposed project was undertaken early on in the course, since little background was required, and a longer project format was utilised so that students could return to the project and see direct applications of new concepts, such as autonomous vs. nonautonomous ordinary differential equations, slope fields, and Euler's method as they were introduced. The project prompt is provided as well as a detailed discussion of the motivation behind the questions. Finally, the pros and cons of requiring the students to submit a written lab report for the project are reflected upon and a sample rubric is provided.

Unconventional superconductivity has been suggested to be present at the interface between bismuth and nickel in thin-film bilayers. In this work, we study the structural, magnetic, and superconducting properties of sputter deposited Bi/Ni bilayers. As-grown, our films do not display a superconducting transition; however, when stored at room temperature, after about 14 days our bilayers develop a superconducting transition up to 3.8 K. To systematically study the effect of low temperature annealing on our bilayers, we perform structural characterization with x-ray diffraction and polarized neutron reflectometry, along with magnetometry and low-temperature electrical transport measurements on samples annealed at 70^{∘}C. We show that the onset of superconductivity in our samples is coincident with the formation of ordered NiBi_{3} intermetallic alloy, a known s-wave superconductor. We calculate that the annealing process has an activation energy of (0.86±0.06)eV. As a consequence, gentle heating of the bilayers will cause formation of the superconducting NiBi_{3} at the Ni/Bi interface, which poses a challenge to studying any distinct properties of Bi/Ni bilayers without degrading that interface.