Categories
Nevin Manimala Statistics

Perceived knowledge gained from school-based sexuality education – results from a national population-based survey among young people in Sweden

Sex Health. 2023 Nov 6. doi: 10.1071/SH23093. Online ahead of print.

ABSTRACT

BACKGROUND: School-based sexuality education is a core component of securing young people’s right to attain health equity regarding sexual and reproductive health and rights. This paper aims to explore how perceived knowledge (sufficient or insufficient) of taking care of one’s sexual health is associated with knowledge gained from school-based sexuality education and social determinants.

METHODS: The data material is drawn from a population-based survey conducted in Sweden in 2015. The survey had 7755 respondents and a response rate of 26%. To explore the aim descriptive statistics and logistic regression models were used.

RESULTS: Our results show that perceived insufficient knowledge from school-based sexuality education was associated with higher odds of reporting not being able to take care of one’s sexual health. The highest significant excess risk for insufficient knowledge was found among young people from sexual minorities.

CONCLUSIONS: Young people in Sweden do not have equal abilities to receive knowledge needed to take care of their sexual health and thus attain sexual health literacy. There is an unequal distribution of perceived knowledge, and LGBTQI+ youth particularly face barriers in using school-based sexuality education as a resource for sexual health literacy.

PMID:37925747 | DOI:10.1071/SH23093

Categories
Nevin Manimala Statistics

Magnetic Arctic Circle in a Square Ice Qubit Lattice

Phys Rev Lett. 2023 Oct 20;131(16):166701. doi: 10.1103/PhysRevLett.131.166701.

ABSTRACT

Under certain boundary conditions, the square ice model exhibits a phase separation in which the core of the system is disordered while its outer region remains ordered. This phenomenon, known as the “arctic circle,” has been studied theoretically in combinatorial mathematics and statistical mechanics. Here, we realize the physics of the arctic circle experimentally for the first time, using a programmable lattice of superconducting qubits, and investigate its properties under the prism of a highly frustrated magnet. Our work reveals two unexpected properties. First, the disordered spin manifold confined within the arctic curve is a spin liquid whose average spin texture resembles that of an antivortex, i.e., it is a topologically charged Coulomb phase. Second, monopole quasiparticle excitations, which are totally absent in theoretical works, can be isolated in a phase-separated system. Remarkably, a monopole segregation mechanism is observed, in which the monopoles are sorted according to the magnetic charge and magnetic moment they carry, without the application of an external driving force.

PMID:37925737 | DOI:10.1103/PhysRevLett.131.166701

Categories
Nevin Manimala Statistics

Shadow Tomography from Emergent State Designs in Analog Quantum Simulators

Phys Rev Lett. 2023 Oct 20;131(16):160601. doi: 10.1103/PhysRevLett.131.160601.

ABSTRACT

We introduce a method that allows one to infer many properties of a quantum state-including nonlinear functions such as Rényi entropies-using only global control over the constituent degrees of freedom. In this protocol, the state of interest is first entangled with a set of ancillas under a fixed global unitary, before projective measurements are made. We show that when the unitary is sufficiently entangling, a universal relationship between the statistics of the measurement outcomes and properties of the state emerges, which can be connected to the recently discovered phenomeonon of emergent quantum state designs in chaotic systems. Thanks to this relationship, arbitrary observables can be reconstructed using the same number of experimental repetitions that would be required in classical shadow tomography [Huang et al., Nat. Phys. 16, 1050 (2020)NPAHAX1745-247310.1038/s41567-020-0932-7]. Unlike previous approaches to shadow tomography, our protocol can be implemented using only global Hamiltonian evolution, as opposed to qubit-selective logic gates, which makes it particularly well suited to analog quantum simulators, including ultracold atoms in optical lattices and arrays of Rydberg atoms.

PMID:37925705 | DOI:10.1103/PhysRevLett.131.160601

Categories
Nevin Manimala Statistics

Probing the Fluorescence Intermittency of Bimetallic Nanoclusters using Single-Molecule Fluorescence Spectroscopy

J Phys Chem Lett. 2023 Nov 5:10166-10172. doi: 10.1021/acs.jpclett.3c02823. Online ahead of print.

ABSTRACT

Single-molecule spectroscopy (SMS) is a unique and competent technique to study molecule dynamics and sense biomolecules precisely. The design of an ultrahigh-stability single fluorophore probe with excellent photostability and long-lived dark transient states for single-molecule fluorescence microscopy is challenging. Here, we found that the photostability of bimetallic AuAg28 nanoclusters is better than monometallic Ag29 nanoclusters. The photon antibunching experiments unveiled exceptional brightness and remarkable photostability with high survival times of up to 218 s with minimal blinking. AuAg28 NCs exhibited longer “on” times and shorter “off” times as compared to Ag29 NCs. The statistical analysis was performed on at least 100 molecules that showed single-step photobleaching and almost a 5-fold enhancement in intensity on Au doping in Ag29 NCs. The distinctive and tunable photophysics of metal NCs can offer huge potential in pushing single-molecule dynamic measurements to be carried out biologically.

PMID:37925663 | DOI:10.1021/acs.jpclett.3c02823

Categories
Nevin Manimala Statistics

The effect of augmented reality on preoperative anxiety in children and adolescents: A randomized controlled trial

Paediatr Anaesth. 2023 Nov 4. doi: 10.1111/pan.14793. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Virtual reality has been shown to be an effective non-pharmacological intervention for reducing anxiety of pediatric patients. A newer immersive technology, that of augmented reality, offers some practical advantages over virtual reality, and also seems to show beneficial effects on anxiety. The main objective of this study was to determine whether augmented reality could reduce preoperative anxiety in pediatric patients undergoing elective day surgeries. A secondary outcome was to document the level of satisfaction from pediatric patients toward augmented reality intervention.

METHODS: Children and adolescents aged between 5 and 17 years old scheduled for elective day surgery under general anesthesia were randomly divided into two groups. Patients in the control group received standard care, whereas patients in the augmented reality group were accompanied by two virtual characters who taught them relaxation techniques and provided emotional and informational support. Anxiety was measured at the time of admission and at the time of induction using the short version of the modified Yale Preoperative Anxiety Scale.

RESULTS: The analysis included 37 pediatric patients in the augmented reality group and 64 in the control group. Anxiety scores were statistically significantly lower in the augmented reality group than those in the control group at the time of admission (median difference [95% CI]: 6.3 [0-10.4], p = .01), while no difference was observed between groups at the time of induction (median difference [95% CI]: -4.2 [-5.2-4.2], p = .58). Most patients in the augmented reality group wished to wear the glasses again and reported to be very satisfied with the intervention.

CONCLUSION: To our knowledge, this study is the first large randomized controlled trial to provide empirical evidence of reduction in anxiety for children and adolescents using augmented reality prior to induction of general anesthesia.

PMID:37925608 | DOI:10.1111/pan.14793

Categories
Nevin Manimala Statistics

Comparative cross-sectional study of socio-psychological orthodontic needs and oral habits in Autism Spectrum Disorder

Spec Care Dentist. 2023 Nov 4. doi: 10.1111/scd.12939. Online ahead of print.

ABSTRACT

OBJECTIVE: This cross-sectional study analyzed the socio-psychological need for orthodontic treatment in children and adolescents with and without Autism Spectrum Disorder (ASD) and its association with deleterious oral habits.

METHODS: Children/adolescents aged 6-14 years old, with and without ASD, and their respective caregivers were included. Caregivers completed a questionnaire addressing children and adolescents’ deleterious oral habits. To assess the socio-psychological need for orthodontic treatment, we utilized the aesthetic component of the Index of Orthodontic Treatment Needs (IOTN). Caregivers and an orthodontist independently used the standardized IOTN aesthetic attractiveness scale containing ten intraoral photographs and compared them with the most similar condition of the child/adolescent. Data collection occurred at two universities in northeastern Brazil and at an ASD referral center. Statistical analyses encompassed descriptive statistics, Shapiro-Wilk, Kruskal-Wallis, Mann-Whitney, and Chi-squared tests with linear trend (α5%).

RESULTS: The study involved 144 participants, evenly divided into two groups (ASD and non-ASN). The ASD group showed higher average IOTN-AC scores as evaluated by both professionals (mean score = 4.78 [± 2.34], p = .182) and caregivers (mean score = 4.31 [± 2.71], p = .992). Caregivers reported notably elevated IOTN-AC scores in cases where onychophagy was absent (p = .049).

CONCLUSIONS: Patients with ASD are indicated as having a relatively higher socio-psychological need for orthodontic treatment.

PMID:37925601 | DOI:10.1111/scd.12939

Categories
Nevin Manimala Statistics

Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis

Sci Rep. 2023 Nov 4;13(1):19070. doi: 10.1038/s41598-023-45531-3.

ABSTRACT

Migraine is a complex disorder with multigenic inheritance and is characterized by the cardinal symptom of unilateral headache. Many genes are responsible for increasing the susceptibility of disease within different populations. Therefore, our primary aim in this review was to catalog the many genes that have been studied in India and after collecting the necessary information, we calculated a more precise risk relationship between an identified variation and migraine. The gene and its associated risk variant were discovered in the Indian population using a PRISMA-based systematic literature review guideline from online databases such as PubMed & Google Scholar. We constructed pooled odds ratios with 95% confidence intervals using multiple genetic models. Also, we looked for heterogeneity using Cochran’s Q Test and the I2 statistic. Publication bias was analyzed using Begg’s and Egger’s tests. A p-value less than 0.05 was judged to be statistically significant for all tests. After a critical analysis, a total of 24 studies explored about 21 genes with 31 variants out of which only nine genes have been studied more than two times in the Indian population and thus were found eligible for the meta-analysis. It has been found, that the ACE-DD variant (allele model: OR: 1.37 [1.11-1.69], I2 = 0%/ fixed model), ESR1-PvuII (allele model: OR: 1.47 [1.24-1.74], I2 = 0%/ fixed model) significantly increases the risk of migraine in Indian population. Also, a protective role of the LRP1-rs11172113variant was observed for both migraine and its clinical subtype i.e., MA (allelic model: OR of 0.65 [0.50-0.83] I2 = 44% and allele: OR: 0.54 [0.37-0.78], I2 = 52%) respectively. Overall, the results of this meta-analysis indicated that the ACE-DD variant and the ESR1-PvuII were associated with an increased risk of migraine in the Indian community, while the LRP1-rs11172113 variant was associated with protection from migraine in this population.

PMID:37925562 | DOI:10.1038/s41598-023-45531-3

Categories
Nevin Manimala Statistics

Experimental investigation and multi-performance optimization of the leachate recirculation based sustainable landfills using Taguchi approach and an integrated MCDM method

Sci Rep. 2023 Nov 4;13(1):19102. doi: 10.1038/s41598-023-45885-8.

ABSTRACT

Landfill leachates contain harmful substances viz. chemicals, heavy metals, and pathogens, that pose a threat to human health and the environment. Unattended leachate can also cause ground water contamination, soil pollution and air pollution. This study focuses on management of leachate, by recirculating the rich, nutrient-filled fluid back into the landfills, turning it to a bioreactor, thereby maximising the performance parameters of landfills favourable for electricity production by the waste to energy plants. This study demonstrates a sustainable alternative method for utilising the fluid, rather than treating it using an extremely expensive treatment process. Further, it also experimentally investigates the effect of varying levels of five input parameters of the landfill including waste particle size, waste addition, inorganic content in waste, leachate recirculation rate, and landfill age, each at five levels, on the multiple performance of the landfill using Taguchi’s L25 standard orthogonal array. Experimental results are analysed using an integrated MCDM approach i.e. MEREC-PIV method and statistical techniques such as analysis of mean (ANOM) and analysis of variance (ANOVA). The results indicate that the optimal setting of the input parameters is waste particle size at 9 ppm, waste addition at 80 Ktoe, inorganic content in waste at 2%, leachate recirculation rate at 250 l/day and landfill age at 3 years. Further, inorganic content waste is found to be the most significant parameter for the multiple performance of the landfill. This study presents a novel approach to produce input parameters for power plants which may enhance their profitability and sustainability.

PMID:37925554 | DOI:10.1038/s41598-023-45885-8

Categories
Nevin Manimala Statistics

The effects of psychosocial and behavioral interventions on depressive and anxiety symptoms during the COVID-19 pandemic: a systematic review and meta-analysis

Sci Rep. 2023 Nov 4;13(1):19094. doi: 10.1038/s41598-023-45839-0.

ABSTRACT

Psychosocial and behavioral interventions have been shown to significantly reduce depressive and anxiety symptoms in different populations. Recent evidence suggests that the mental health of the general population has deteriorated significantly since the start of Coronavirus Disease 2019 (COVID-19) pandemic. We conducted a systematic review and meta-analysis of studies on the therapeutic effects of psychosocial and behavioral interventions on depression and anxiety during the COVID-19 pandemic. We systematically searched six electronic databases between December 2019 and February 2022 including PubMed, PsycINFO, Scopus, Web of Science, CNKI, and Wanfang Data. We included randomized clinical trials of psychosocial and behavioral interventions in individuals with depressive or anxiety symptoms during the COVID-19 outbreak compared to various control conditions. A total of 35 eligible studies with 5457 participants were included. The meta-analysis results showed that psychosocial and behavioral interventions had statistically significant moderate effects on depression [SMD = – 0.73, 95% CI (- 1.01, – 0.45), I2 = 90%] and large effects on anxiety [SMD = – 0.90, 95% CI (- 1.19, – 0.60), I2 = 92%], especially in the general population and COVID-19 survivors. Exercise and cognitive behavioral therapy were found to be the most effective treatments with moderate-to-large effect size for depression and anxiety during the outbreak of COVID-19. We also found the internet-based approach could also achieve almost equally significant effects on depression and anxiety compared with face-to-face traditional approach. Our findings suggest that cognitive behavioral therapy and physical exercise intervention are significantly effective for depression and anxiety related to the COVID-19 pandemic regardless of the delivery modes, and gender differences should be taken into consideration for better implementation of interventions in clinical and community practice.

PMID:37925535 | DOI:10.1038/s41598-023-45839-0

Categories
Nevin Manimala Statistics

The invisible witness: air and dust as DNA evidence of human occupancy in indoor premises

Sci Rep. 2023 Nov 4;13(1):19059. doi: 10.1038/s41598-023-46151-7.

ABSTRACT

Humans constantly shed deoxyribonucleic acid (DNA) into the surrounding environment. This DNA may either remain suspended in the air or it settles onto surfaces as indoor dust. In this study, we explored the potential use of human DNA recovered from air and dust to investigate crimes where there are no visible traces available-for example, from a recently vacated drugs factory where multiple workers had been present. Samples were collected from three indoor locations (offices, meeting rooms and laboratories) characterized by different occupancy types and cleaning regimes. The resultant DNA profiles were compared with the reference profiles of 55 occupants of the premises. Our findings showed that indoor dust samples are rich sources of DNA and provide an historical record of occupants within the specific locality of collection. Detectable levels of DNA were also observed in air and dust samples from ultra-clean forensic laboratories which can potentially contaminate casework samples. We provide a Bayesian statistical model to estimate the minimum number of dust samples needed to detect all inhabitants of a location. The results of this study suggest that air and dust could become novel sources of DNA evidence to identify current and past occupants of a crime scene.

PMID:37925517 | DOI:10.1038/s41598-023-46151-7