Casual Sex Research Articles

Kurgan Phenomenon in the Southern Caucasus: Results of an Interdisciplinary Multi‐Method Remote Sensing Survey Along the Kurekçay Valley (Goranboy Province, Western Azerbaijan)

ABSTRACTThis paper presents the results of a pilot study that combines findings from satellite remote sensing analyses and an intensive interdisciplinary survey conducted in November 2021 on kurgans along the Kurekçay Valley, in western Azerbaijan. Through the integration of various methods, including historical and contemporary satellite and aerial imagery analysis, topographic mapping and geophysical prospections, this research remotely maps and quantifies the density, size, morphology and distribution of the burial mounds in the area. Unlike previous studies focusing solely on individual burial mounds, this investigation adopts a broader approach by contextualizing the kurgans within their respective landscapes. The results contribute to a deeper understanding of the physical and symbolic aspects and relationships of these structures, providing valuable insights into the enduring burial practices that shaped the funerary traditions of the Southern Caucasus during the 4th and 1st millennium BCE. Furthermore, this approach supports an assessment of the condition of the individual kurgans, thereby opening new perspectives to develop innovative plans to protect these burial mounds and their settings.

Classifying and quantifying decadal changes in wet deposition over Southeast and East Asia using EANET, OMI, and GPCP

South East and East Asia are regions which have undergone rapid economic development, contributing a significant amount of urban and biomass burning emissions. While the connections between emissions, deposition, and impacts on the Earth System are theoretically understood, they are observationally and ill-constrained, especially with respect to the effects of a changing climate and the Monsoon. This work shows the results of a new classification scheme and Asian-Wide monthly wet deposition product based upon 16 years of surface wet deposition observations and remotely sensed trace gas and precipitation measurements throughout South East and East Asia. Specific information corresponding to underlying driving and physical processes including in-situ processing, long-range transport, and local emission sources are all considered. Scientific findings are made specifically with respect to the increased impacts of urban-scale change, long-range transport, and enhanced deposition under moderate to low precipitation conditions. Previously accepted definitions of clean and polluted areas are challenged and updated based upon more detailed analysis of the observed physical and chemical relationships and simple models. The spatial and temporal distribution of the resulting modeled wet deposition is shown to impact the oceans more significantly, and regions of land not previously thought to be heavily impacted.

Patterns of sex behaviors and factors associated with condomless anal intercourse during the COVID-19 pandemic among men who have sex with men in Hong Kong: A cross-sectional study.

The present study examined the patterns of sex behaviors before and during COVID-19, and identified the factors associated with condomless anal intercourse during COVID-19 from individual, interpersonal, and contextual level among men who have sex with men (MSM) in Hong Kong. A cross-sectional study was conducted among MSM in Hong Kong. A total of 463 MSM completed a cross-sectional telephone survey between March 2021 and January 2022. Among all participants, the mean number of regular sex partners, non-regular sex partners, and casual sex partners during the COVID-19 period were 1.24, 2.09, and 0.08 respectively. Among those who had sex with regular, non-regular, and casual sex partner during the COVID-19 period, respectively 52.4%, 31.8% and 46.7% reported condomless anal intercourse. Compared to the pre-COVID-19 period, participants reported significantly fewer number of regular and non-regular sex partners during the COVID-19 period. However, a higher level of condomless anal intercourse with all types of sex partners during the COVID-19 period was also observed. Adjusted for significant socio-demographic variables, results from logistic regression analyses revealed that perceived severity of COVID-19 (aOR = 0.72, 95% CI = 0.58, 0.88), COVID-19 risk reduction behaviors in general (aOR = 0.68, 95% CI = 0.48, 0.96), COVID-19 risk reduction behaviors during sex encounters (aOR = 0.45, 95% CI = 0.30, 0.66), condom negotiation (aOR = 0.61, 95% CI = 0.44, 0.86), and collective efficacy (aOR = 0.79, 95% CI = 0.64, 0.98) were protective factors of condomless anal intercourse with any type of sex partners during the COVID-19 period. The COVID-19 control measures have caused a dramatic impact on the sexual behavior of MSM in Hong Kong. Interventions that promote condom use during the COVID-19 pandemic are still needed and such interventions could emphasize prevention of both COVID-19 and HIV.

Maltreatment and Parent-Child Attachment as Predictors of Dating Violence and Risky Sexual Behaviour Among High-Risk Teens.

A history of maltreatment can increase risk for dating violence (DV) and risky sexual behaviour (RSB) among adolescents. Secure parent-child attachment may reduce this risk, yet few studies have examined this as a protective factor. This study differentiated developmentally appropriate, exploratory sexual behaviours from RSB and examined whether maltreatment experiences and parent-child attachment in adolescence predicted DV and RSB reported five years later in a high-risk sample. Participants were 179 adolescents (46% girls; M age = 15.34, range = 12-18 years) at risk for aggressive and antisocial behaviour. Adolescents reported their maltreatment histories and attachment to their parents at Time 1; five years later, at Time 2, they reported their experiences with DV perpetration and victimization and engagement in RSB. Both bivariate correlations and structural analyses demonstrated that maltreatment was associated with DV perpetration and victimization but not RSB, and attachment avoidance was associated with fewer RSB but not DV. Attachment anxiety was associated with physical DV perpetration and greater condom use, but only at the correlational level; attachment anxiety was not associated with DV or RSB in the structural model. There were no significant interaction effects. Findings highlight the importance of considering key developmental factors such as maltreatment and parent-child attachment in understanding adolescent risk for DV and RSB, and may inform future research that accounts for contextual factors such as motivation for violence perpetration and contraceptive use with multiple and/or casual sex partners.

IJCM_415A: “Swipe, Match, Risk: A study about Dating applications amongst the youth of a metropolitan city.

Background: One of the primary goals of young adulthood is to establish a committed romantic relationship. During the last decade, the Internet has become an important platform to initiate contact with potential romantic or sexual partners. The Statista Market Forecast estimated that by the end of 2019, there were more than 200 million active users of dating apps worldwide. The current study is an attempt to understand the usage of the dating apps among young adults, the target users of these apps. Objective: 1. To estimate the prevalence of use of internet-based dating applications in the youth. 2. To study the pattern of social and sexual encounters through these apps. 3. To understand the reasons for the usage of the apps. Methodology: A cross-sectional study was done amongst 18-25 years college students from a metropolitan city of India. Minimum sample size required for the study was 1012. Ethical approval was obtained from local ethics committee & data was collected via a Google form amongst students from colleges in particular area of city. Results: 1641 respondents participated in the study. Majority of the participants were females, belonging to the age group of 18-21 years. Dating applications were used by 208 participants. The most common reason for use was finding love/partner, casual sex & exploring/experimenting. Association between use of dating applications was statistically significant with gender, duration of stay in Mumbai, relationship status, sexual orientation and habits. Conclusion: The use of dating apps was 12.7% in this study. The risk factors associated with dating apps were male gender, residing in Mumbai since more than an year, habits like smoking, alcohol etc. Sexual orientation & relationship status were also significant risk factors for use of dating applications.

Using Temporal Deep Learning Models to Estimate Daily Snow Water Equivalent Over the Rocky Mountains

AbstractIn this study we construct and compare three different deep learning (DL) models for estimating daily snow water equivalent (SWE) from high‐resolution gridded meteorological fields over the Rocky Mountain region. To train the DL models, Snow Telemetry (SNOTEL) station‐based SWE observations are used as the prediction target. All DL models produce higher median Nash‐Sutcliffe Efficiency (NSE) values than a conceptual SWE model and interpolated gridded data sets, although mean squared errors also tend to be higher. Sensitivity of the SWE prediction to the model's input variables is analyzed using an explainable artificial intelligence (XAI) method, yielding insight into the physical relationships learned by the models. This method reveals the dominant role precipitation and temperature play in snowpack dynamics. In applying our models to estimate SWE throughout the Rocky Mountains, an extrapolation problem arises since the statistical properties of SWE (e.g., annual maximum) and geographical properties of individual grid points (e.g., elevation) differ from the training data. This problem is solved by normalizing the SWE with its historical maximum value to alleviate extrapolation for all tested DL models. Our work shows that the DL models are promising tools for estimating SWE, and sufficiently capture relevant physical relationships to make them useful for spatial and temporal extrapolation of SWE values.

Optimizing the key parameter to accelerate the recovery of AMOC under a rapid increase of greenhouse gas forcing

Atlantic Meridional Overturning Circulation (AMOC) plays a central role in long-term climate variations through its heat and freshwater transports, which can collapse under a rapid increase of greenhouse gas forcing in climate models. Previous studies have suggested that the deviation of model parameters is one of the major factors in inducing inaccurate AMOC simulations. In this work, with a low-resolution earth system model, the authors try to explore whether a reasonable adjustment of the key model parameter can help to re-establish the AMOC after its collapse. Through a new optimization strategy, the extra freshwater flux (FWF) parameter is determined to be the dominant one affecting the AMOC's variability. The traditional ensemble optimal interpolation (EnOI) data assimilation and new machine learning methods are adopted to optimize the FWF parameter in an abrupt 4×CO2 forcing experiment to improve the adaptability of model parameters and accelerate the recovery of AMOC. The results show that, under an abrupt 4×CO2 forcing in millennial simulations, the AMOC will first collapse and then re-establish by the default FWF parameter slowly. However, during the parameter adjustment process, the saltier and colder sea water over the North Atlantic region are the dominant factors in usefully improving the adaptability of the FWF parameter and accelerating the recovery of AMOC, according to their physical relationship with FWF on the interdecadal timescale.

Relationship between the practice of chemsex and taking PrEP

IntroductionChemsex refers to the use of drugs, typically stimulants and/or psychoactive substances, in a sexual context, often in the context of casual or group sex encounters. Currently, the practice of chemsex focuses on men who have sex with men (MSM). On the other hand, Pre-exposure prophylaxis (PrEP) is a biomedical method that has proven effective in preventing HIV transmission, particularly among individuals at a heightened risk, including those who engage in chemsex. MSM account for two thirds of new HIV cases in the US. It is estimated that in 70% of cases seroconversion occurs through “condomless anal sex” (CAS). According to the CDC, one in six MSM will be infected with HIV during their lifetime. The consumption of methamphetamine (MA) has been identified as the main driver of the practice of CAS, alteration of rectal immunological function and faster seroconversion. One in three new HIV infections have been associated with MA consumption. (Grov C et al. JAIDS 2020; 85 272-279).ObjectivesThe primary goal of this study is to describe the prevalence of chemsex engagement among PrEP users, delineate user characteristics and requirements, gain deeper insights into this phenomenon within the Barcelona region, and formulate customized strategies accordingly.MethodsThis study conducts a literature review to explore the current correlation between engaging in chemsex and the utilization of PrEP. We identified research articles published between January 2020 and December 2022, that discussed the utilization of chemsex drugs prior to or during sexual activities. The findings were synthesised using a narrative approach and conceptualised using a behavioural analysis framework.Results According to a recent cross-sectional study performed at Hospital Clínic de Barcelona, SUD among patients who are being followed-up in the outpatient clinic of PrEP was higher (89%) compared with other European regions such as England (38.5%) or Amsterdam (41%). Moreover, according to data collected in the EMIS 2017 survey, Barcelona is the city with the highest prevalence of chemsex in Spain. (De La Mora L et al. AIDS Beh. 2022; 26: 4055-4062).Conclusions The frequency of chemsex practice among individuals using PrEP in Barcelona surpasses what has been observed in other groups. Nearly 25% of the participants express worries and a requirement for assistance regarding the management of drug use, matters associated with their sexuality, and sexually transmitted infections (STIs). MSM who suffers from substance use disorder may experience difficulty achieving effective daily oral PrEP adherence prevention levels that may serve as early indicators of increased risk of disengagement from PrEP care and discontinuation the PrEP. These results highlight the importance of adopting aninterdisciplinary approach that incorporates education about substances and the implementation of risk mitigation strategies within the context of riskier sexual behaviors.Disclosure of InterestNone Declared

Therapeutic Effect of Music Therapy on Patients with End-stage Cancer: A Retrospective Study.

The aim of this study was to retrospectively analyze the effect of music therapy on patients with end-stage cancer in hospice care. This retrospective cohort study included 195 patients with end-stage cancer from January 2021 to December 2023. The conventional group comprised patients who received routine hospice care, whereas the combination group comprised those who received routine hospice care and music therapy. The immune indicators, anxiety and depression scores, quality of life scores, and sleep quality scores of both groups were compared before and after management. Before management, no significant differences were observed in the immune indicators, anxiety and depression scores, quality of life scores, and sleep quality scores between both groups (P > 0.05). However, after management, the immune indicators lymphocytes CD3+ and CD4+ were significantly higher in the combination group than in the conventional group (P < 0.05); in contrast, anxiety and depression and the Pittsburgh Sleep Quality Index scores were lower in the combination group than in the conventional group (P < 0.05). Lastly, the World Health Organization Quality of Life Brief Version scores were significantly higher in all domains in the combination group than in those in the conventional group; furthermore, the degree of decline in the physical, psychological, and social relationship domain scores was smaller in the combination group than in the conventional group (P < 0.05). For patients with end-stage cancer, music therapy can improve their immune status, quality of life, and sleep and ameliorate their anxiety and depression.

Study of Physical and Anthropocentric Relationship with the Performance of State Level Cricket Players

This review paper examines the relationship between physical fitness, anthropometric characteristics, and the performance of state-level cricket players. The paper synthesizes existing literature to highlight how these factors influence performance in various cricketing roles, such as batting, bowling, and fielding. The findings suggest that a combination of physical and psychological factors significantly contributes to a player’s success on the field. The review also discusses implications for training programs and future research directions. This review paper explores the relationship between physical fitness, anthropometric characteristics, and the performance of state-level cricket players. By synthesizing existing literature, the paper highlights how factors such as strength, endurance, flexibility, agility, height, body composition, and mental toughness influence performance in various cricket roles, including batting, bowling, and fielding. The findings indicate that an integrated approach, combining physical training and psychological preparation, is crucial for optimal performance. This review also discusses the implications for personalized training programs and identifies potential areas for future research to further enhance understanding of these relationships.

Mathematical concepts as the basis for solving physical problems

Mathematical concepts play a fundamental role in physics. They are used to express physical laws and relationships, build models of physical systems, and solve physical problems. In the article, we noted that the application of mathematics in physics has a number of features that distinguish it from the application of mathematics in other fields of science. In particular, physicists use mathematics to express physical meaning rather than to study mathematical structures abstractly. This leads to a number of differences in the use of symbols and semantics by physicists and mathematicians. In physics, symbols are often used to represent physical quantities, not just abstract numbers. For example, the symbol E can be used to represent energy, M for mass, and c for the speed of light. This allows physicists to use mathematics to express physical laws and relationships in a natural and intuitive way. In addition, physicists often use units of measurement when interpreting mathematical expressions. For example, the equation E=mc^2 means that energy is equal to mass multiplied by the speed of light squared, provided that all values are expressed in the appropriate units of measurement. The application of mathematics in physics is a complex and multifaceted process. This requires not only mathematical skills, but also an understanding of the physical meaning of mathematical concepts.

Agreement with weight-neutral compared to weight-centric physical activity messages and relationships to sedentary behavior, physical activity, and internalized weight bias in people living in larger bodies

Agreement with weight-neutral compared to weight-centric physical activity messages and relationships to sedentary behavior, physical activity, and internalized weight bias in people living in larger bodies

Coupling effects of multiple strengthening mechanisms in spheroidal microstructure eutectic high-entropy alloys

The yield strength of metallic materials is commonly estimated using linear superposition methods, but this method has limited adaptability to new materials. The mapping relationship between input and output in machine learning methods is difficult to quantify. This study employs a rapid screening method to identify the key strengthening mechanisms that influence the yield strength of typical homogeneous and heterogeneous metallic materials. A non-linear physical neural information network model is developed to describe the yield strength of heterogeneous structures, capturing the main parameters contributing to yield strength from selected physical quantity data. By considering the non-linear strengthening mechanisms arising from interactions among multiple strengthening mechanisms in heterogeneous metal structures, the microstructure and mechanical properties of eutectic high-entropy alloys are optimized through warm rolling and short-time annealing. By inducing microstructural spheroidization and introducing nanoscale precipitates, significant coupling effects of multiple strengthening mechanisms are achieved for eutectic high-entropy alloys. As a result, the yield strength increases by approximately 2.5 times, while plasticity remains nearly unchanged. Transmission electron microscopy, scanning electron microscopy, and electron backscatter diffraction observations provide evidence for the sources of these coupling effects. This study offers guidance for accelerating material design and exploring the physical relationship between microstructure and mechanical properties.

AUV instantaneous velocity estimation method based on azimuth and Doppler shift

Autonomous underwater vehicle (AUV), as a new underwater operation platform, has been widely used in the field of ocean engineering. AUV underwater condition monitoring is an important guarantee for the safety and effective execution of AUV operations. To meet the requirement of real-time and high-precision underwater instantaneous velocity monitoring of AUV, this paper proposed an AUV instantaneous velocity estimation method. The method takes the target azimuth and Doppler shift as the observation information. It comprehensively uses the geometric relationship among the target azimuth, heading angle, radial velocity angle, and the physical relationship between Doppler and radial velocity to construct an AUV instantaneous velocity estimation model based on distributed dual acoustic observation nodes. We derive the analytical solution of AUV speed and heading angle and analyze the influence of each observation error on the estimation precision of the algorithm. The research and practical data processing results show that the proposed method can effectively estimate the instantaneous velocity of AUV. Compared with the traditional method based on position difference, it has the advantages of high estimation precision, is not limited by frame interval, and is adaptive to many kinds of motion modes. When AUV moves in a straight line at a uniform speed, the precision of speed estimation and heading angle estimation of the algorithm proposed in the paper is 0.506 m/s and 6.146°, which is equivalent to that of the traditional method based on position difference with 50 frame intervals.

A deep-learning model for rapid spatiotemporal prediction of coastal water levels

With the increasing impact of climate change and relative sea level rise, low-lying coastal communities face growing risks from recurrent nuisance flooding and storm tides. Thus, timely and reliable predictions of coastal water levels are critical to resilience in vulnerable coastal areas. Over the past decade, there has been increasing interest in utilizing machine learning (ML) based models for emulation and prediction of coastal water levels. However, flood advisory systems still rely on running computationally demanding hydrodynamic models. To alleviate the computational burden, these physics-based models are either run at small scales with high resolution or at large scales with low resolution. While ML-based models are very fast, they face challenges in terms of ensuring reliability and ability to capture any surge levels. In this paper, we develop a deep neural network for spatiotemporal prediction of water levels in coastal areas of the Chesapeake Bay in the U.S. Our model relies on data from numerical weather prediction models as the atmospheric input and astronomical tide levels, while its outputs are time series of predicted water levels at several tide gauge locations across the Chesapeake Bay. We utilized a CNN-LSTM setting as the architecture of the model. The CNN part extracts the features from a sequence of gridded wind fields and fuses its output to several independent LSTM units. The LSTM units concatenate the atmospheric features with respective astronomical tide levels and produce water level time series. The novel contribution of the present work is in spatiotemporality and in prioritization of the physical relationships in the model to maintain a high analogy to hydrodynamic modeling, either in the network architecture or in the selection of predictors and predictands. The results show that this setting yields a strong performance in predicting coastal water levels that cause flooding from minor to major levels. We also show that the model stands up successfully to the rigorous comparison with a high-fidelity ADCIRC model, yielding mean RMSE and correlation coefficient of 14.3 cm and 0.94, respectively, in two extreme cases, versus 12.30 cm and 0.96 for the ADCIRC model. The results highlight the practical feasibility of employing fast yet inexpensive data-driven models for resilient coastal management.

Holistic Rehabilitation in Action: A Data-Driven Analysis of the Impact on Quality of Life among Individuals with Psychoactive Substance Abuse.

Background: Psychoactive substance abuse can affect biological, psychological, social, and spiritual aspects, as well as the users' quality of life, and obliged to carry out medical and social rehabilitation. Purpose: The purpose of the study was to identify the effect of holistic rehabilitation programs on quality of life among drug abusers. Methods: Quasi-experimental with time series design. The sample of this study amounted to 54 people, taken by G-power, all participants who will take part in the rehabilitation program at the National Narcotics Board rehabilitation clinic. Rehabilitation interventions include health assessment, psychological assessments, health counseling, human immunodeficiency virus-related voluntary counseling and testing, addiction counseling, group therapy, family therapy, client and family monitoring, relapse prevention therapy, and postrehabilitation services. Interventions are provided for 10 weeks, and delivered by health professionals. Measurement of quality of life using World Health Organization Quality of Life-Brief Version (WHOQOL-BREF) MEAT 26 statements consisting of physical, psychological, environmental, and social relationship dimensions, with an alpha value of 0.8756. The data was analyzed with the Friedman test. Results: Holistic rehabilitation influences all dimensions quality of life of drug abusers with a P-value of <0.001. Conclusions: A holistic rehabilitation program improves the quality of life of drug abusers.

Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching.

On enhancing the image quality of low-dose computed tomography (LDCT), various denoising methods have achieved meaningful improvements. However, they commonly produce over-smoothed results; the denoised images tend to be more blurred than the normal-dose targets (NDCTs). Furthermore, many recent denoising methods employ deep learning(DL)-based models, which require a vast amount of CT images (or image pairs). Our goal is to address the problem of over-smoothed results and design an algorithm that works regardless of the need for a large amount of training dataset to achieve plausible denoising results. Over-smoothed images negatively affect the diagnosis and treatment since radiologists had developed clinical experiences with NDCT. Besides, a large-scale training dataset is often not available in clinical situations. To overcome these limitations, we propose locally-adaptive noise-level matching (LANCH), emphasizing the output should retain the same noise-level and characteristics to that of the NDCT without additionaltraining. We represent the NDCT image as the pixel-wisely weighted sum of an over-smoothed output from off-the-shelf denoiser (OSD) and the difference between the LDCT image and the OSD output. Herein, LANCH determines a 2D ratio map (i.e., pixel-wise weight matrix) by locally matching the noise-level of output and NDCT, where the LDCT-to-NDCT device flux (mAs) ratio reveals the NDCT noise-level. Thereby, LANCH can preserve important details in LDCT, and enhance the sharpness of the noise-free regions. Note that LANCH can enhance any LDCT denoisers without additional training data (i.e., zero-shot). The proposed method is applicable to any OSD denoisers, reporting significant texture plausibility development over the baseline denoisers in quantitative and qualitative manners. It is surprising that the denoising accuracy achieved by our method with zero-shot denoiser was comparable or superior to that of the best training-based denoisers; our result showed 1% and 33% gains in terms of SSIM and DISTS, respectively. Reader study with experienced radiologists shows significant image quality improvements, a gain of +1.18 on a five-point mean opinion scorescale. In this paper, we propose a technique to enhance any low-dose CT denoiser by leveraging the fundamental physical relationship between the x-ray flux and noise variance. Our method is capable of operating in a zero-shot condition, which means that only a single low-dose CT image is required for the enhancement process. We demonstrate that our approach is comparable or even superior to supervised DL-based denoisers that are trained using numerous CT images. Extensive experiments illustrate that our method consistently improves the performance of all tested LDCT denoisers.

A laser ultrasound system to non-invasively measure compression waves in granular ice mixes

Accurate knowledge of snow mechanical properties, including Young's modulus, shear modulus, Poisson's ratio, and density, is critical to many areas of snow science and to snow-related engineering problems. To facilitate the assessment of these properties, an innovative non-contacting laser ultrasound system (LUS) has been developed. This system acquires ultrasound waveform data at frequencies ranging from tens to hundreds of kHz in a controlled cold-lab environment. Two different LUS devices were compared in this study to determine which recorded more robust ultrasound in granular ice mix samples. We validated the ultrasound observations with poro-elastic traveltime modeling based on physical and empirical constitutive relationships, comparison to and replication of previous studies, and the use of other accredited snow property measurement systems, i.e., the SnowMicroPen. For ice mixes, we determined that the PSV-400 Scanning Vibrometer (Polytec GmbH) produces higher quality ultrasonic wavefield observations (i.e. has a better signal-to-noise ratio) than the VibroFlex Fiber Vibrometer (Polytec GmbH) in the lab conditions tested here. Using the PSV-400, we then demonstrated the utility of this new LUS to study the relationship between snow compression-wave speed and density during snow compaction experiments.

Identifying atomically thin isolated-band channels for intrinsic steep-slope transistors by high-throughput study

Developing low-power FETs holds significant importance in advancing logic circuits, especially as the feature size of MOSFETs approaches sub-10 nanometers. However, this has been restricted by the thermionic limitation of SS, which is limited to 60 mV per decade at room temperature. Herein, we proposed a strategy that utilizes 2D semiconductors with an isolated-band feature as channels to realize sub-thermionic SS in MOSFETs. Through high-throughput calculations, we established a guiding principle that combines the atomic structure and orbital interaction to identify their sub-thermionic transport potential. This guides us to screen 192 candidates from the 2D material database comprising 1608 systems. Additionally, the physical relationship between the sub-thermionic transport performances and electronic structures is further revealed, which enables us to predict 15 systems with promising device performances for low-power applications with supply voltage below 0.5 V. This work opens a new way for the low-power electronics based on 2D materials and would inspire extensive interests in the experimental exploration of intrinsic steep-slope MOSFETs.

Predicting Attitudes Towards the Exchange of Sexual Services for Payment: Variance in Gender Gaps Across the Nordic Countries

Abstract Introduction This article explores how individual-level attitudes towards the exchange of sexual services for payment differ between the Nordic countries. The sparse existing research points to gender and general attitudes towards sexual behavior as powerful predictors of attitudes towards the exchange of sex for payment. However, there are no previous research agendas that attempt to explain variance in such attitudes including all the Nordic countries. Methods We estimate regression models utilizing data from the joint Wave 5 European Values Study (EVS)/World Values Survey (WVS) Wave 7 (EVS 2017; WVS, 2020) asking about the acceptability of prostitution to predict attitudes towards the exchange of sexual services for payment in Denmark, Finland, Iceland, Norway, and Sweden. Results The findings point to considerable variation in attitudes towards the exchange of sex for payment in the Nordic countries. The attitudinal differences align with how the different Nordic governments have approached the issue at hand. Moreover, the results suggest that gender and attitudes towards non-committal casual sex play a critical role in determining attitudes towards the exchange of sex for payment. The impact of attitudes towards non-committal casual sex on attitudes towards the acceptability of exchanging sex for payment is different for women when compared to men in four of the five countries. Conclusions The empirical results provide convincing evidence that women are less likely than men to translate liberal attitudes towards general sexual behavior into lenient attitudes towards the exchange of sex for payment. Policy Implications The results indicate that government policies play a crucial role in shaping public attitudes towards the exchange of sex for payment, and policymakers should consider the potential impact of their stance on the issue. Policymakers and others who want to shift attitudes towards the exchange of sex for payment in the Nordic region should be cognizant of their interconnectedness with gender and attitudes towards non-committal casual sex.