Hasil untuk "Hazardous substances and their disposal"

Alexei Odinokov, Rostislav Yavorskiy

This report presents a structured Robotics Physical Safety Framework based on explicit asset declaration, systematic vulnerability enumeration, and hazard-driven synthetic data generation. The approach bridges classical risk engineering with modern machine learning pipelines, enabling safety envelope learning grounded in a formalized hazard ontology. The key contribution of this framework is the alignment between classical safety engineering, digital twin simulation, synthetic data generation, and machine learning model training.

Muhammad Adil, Mehmood Ahmed, Muhammad Aqib et al.

Accurate and timely identification of construction hazards around workers is essential for preventing workplace accidents. While large vision-language models (VLMs) demonstrate strong contextual reasoning capabilities, their high computational requirements limit their applicability in near real-time construction hazard detection. In contrast, small vision-language models (sVLMs) with fewer than 4 billion parameters offer improved efficiency but often suffer from reduced accuracy and hallucination when analyzing complex construction scenes. To address this trade-off, this study proposes a detection-guided sVLM framework that integrates object detection with multimodal reasoning for contextual hazard identification. The framework first employs a YOLOv11n detector to localize workers and construction machinery within the scene. The detected entities are then embedded into structured prompts to guide the reasoning process of sVLMs, enabling spatially grounded hazard assessment. Within this framework, six sVLMs (Gemma-3 4B, Qwen-3-VL 2B/4B, InternVL-3 1B/2B, and SmolVLM-2B) were evaluated in zero-shot settings on a curated dataset of construction site images with hazard annotations and explanatory rationales. The proposed approach consistently improved hazard detection performance across all models. The best-performing model, Gemma-3 4B, achieved an F1-score of 50.6%, compared to 34.5% in the baseline configuration. Explanation quality also improved significantly, with BERTScore F1 increasing from 0.61 to 0.82. Despite incorporating object detection, the framework introduces minimal overhead, adding only 2.5 ms per image during inference. These results demonstrate that integrating lightweight object detection with small VLM reasoning provides an effective and efficient solution for context-aware construction safety hazard detection.

Василькевич, В.М., Богданов, Р.В., Дудчик, Н.В. et al.

В публикации обобщены и проанализированы актуальные данные из различных литературных источников по вопросу эффективности и безопасности применения четвертичных аммониевых соединений в составе биоцидных средств. На примере ионных жидкостей и четвертичных фосфониевых соединений затронуты важные аспекты разработки и синтеза новых антимикробных композиций в качестве альтернативных химических средств, обладающих высокой целевой эффективностью и меньшей степенью потенциальной токсичности. Изложенные в статье сведения свидетельствуют о необходимости пересмотра практики широкого применения ЧАС в составе биоцидных продуктов, более пристального внимания регулирующих органов при испытаниях и регистрации новых дезинфектантов и антисептиков на основе ЧАС, важном значении дополнительных целенаправленных исследований для объективной оценки проблемы.

Shahrzad Aseel, Mahkameh Moradimehrabadi, Masoumeh Karimi et al.

Background: Early detection of breast cancer through screening significantly improves survival rates; however, there is limited understanding of rural Iranian women’s beliefs and behaviors related to breast cancer screening. This study explores these beliefs and behaviors among women in the Khonj region of Iran, using the Health Belief Model (HBM) as a framework. Methods: A cross-sectional survey was conducted with 394 women aged 20–68 using a structured questionnaire assessing demographics, HBM constructs (perceived susceptibility, severity, benefits, barriers, self-efficacy, cues to action), and screening behaviors (BSE, CBE, mammography). Pearson correlations and logistic regression analyzed relationships between beliefs, risk factors, and screening behaviors. Results: The HBM focuses on the beliefs of the individual about health conditions to predict health-related behaviors. The model predicts that the higher the perceived susceptibility, severity, and benefit of a desired health behavior, the higher the likelihood of engagement in health-promoting behavior. This study revealed that participants had a low perceived susceptibility towards breast cancer (mean=2.34± 2.48) and a low confidence in doing a breast self-examination (mean=5.47± 4.68). However, they had a relatively high perceived benefit towards clinical breast examination (mean=15.15± 5.85) and mammography (mean=17.21± 7.91). Overall, participants perceiving the severity of breast cancer positively affected their perception of the benefits of getting breast self-examination (r =.119, p <.05), clinical breast examination (r =.276, p <.05), and mammogram (r =.238, p <.05). Conclusions: Women recognized the seriousness of breast cancer and the benefits of screening, but low perceived susceptibility and limited self-efficacy restricted participation in preventive behaviors. Accordingly, interventions targeting self-efficacy, BSE skills training, and provider-led CBE programs were recommended. Since early detection is the key to survival rate, raising awareness of breast cancer can positively affect the quality of life for women

R.K. Dash, K. Kumar, S.P. Shukla et al.

Triclosan (TCS) is a widely used biocide found in medicinal, household, and personal care products, frequently detected in various environmental matrices, posing significant threats to microbial communities and overall ecosystem functioning. This study evaluates the in vivo and in vitro effects of triclosan (TCS) on phosphate-solubilising bacteria (PSB) in mangrove ecosystems. Two experimental approaches were employed: a microcosm (in vivo) study and a laboratory (in vitro) analysis. Five isolated PSB strains—Sphingomonas paucimobilis, Rhizobium radiobacter, Serratia ficaria, Klebsiella oxytoca, and Klebsiella pneumoniae—were selected from the mangrove ecosystem for investigation. The minimum inhibitory concentration (MIC) results revealed that Klebsiella pneumoniae exhibited the highest resistance to TCS among the tested strains. In vivo experiments demonstrated a significant reduction in soil-available phosphorus and enzymatic activities, including acid and alkaline phosphatase, dehydrogenase, and fluorescein diacetate (FDA) activity, in TCS-exposed samples throughout the exposure period. In vitro results showed that phosphate solubilisation decreased significantly with increasing TCS concentrations in all strains except Klebsiella pneumoniae. Overall, TCS effectively inhibited the growth of PSB in mangrove ecosystems. This study is the first to report the impact of TCS on PSB in mangroves and provides valuable data for future research on microbial communities in such environments.

Гасилов, В.С., Тучкова, О.А., Хайруллина, Л.И. et al.

Сезонные колебания и факторы оказывают значительное влияние на различные сферы деятельности современного предприятия. Понимание этих факторов позволяет более точно оценивать производственные риски и принимать обоснованные решения. Сезонные факторы в России, учитывая её размеры и разнообразие климатических зон, оказывают существенное влияние на деятельность опасных производственных объектов (далее - ОПО), а в условиях глобальных изменений климата и экономической нестабильности они становятся все более значимыми при эксплуатации ОПО. В этой связи необходим более гибкий адаптивный подход к оценке рисков, что создает потребность в исследовании и внедрении новых расчетных методик. В последние годы наблюдается рост интереса к интеграции сезонного фактора в риск-менеджмент. Это создает возможность для дальнейших исследований и обмена опытом, поэтому исследование особенностей расчета индивидуального риска с учетом сезонного фактора является актуальным как для теоретического понимания, так и для практического применения в различных отраслях. В статье рассматриваются ключевые аспекты и методологические подходы к расчету индивидуального риска с учетом сезонных колебаний температуры. Авторы анализируют существующие подходы для расчета индивидуального (потенциально-территориального) риска и отмечают, что указанные методы справедливы для технологических процессов, которые проводятся при температуре выше максимальной температуры воздуха в соответствующей климатической зоне, а для производств, технологический процесс которых проводится при температуре окружающей среды, подобный подход дает сильно завышенный результат, что приводит к излишним материальным затратам при проектировании и новом строительстве ОПО. Поэтому для производств, технологический процесс которых проводится при температуре окружающей среды, индивидуальный (потенциально-территориальный) риск предлагается рассчитывать с учетом сезонного фактора. Такая интеграция анализа влияния сезонного фактора в систему управления рисками повысит эффективность принятия решений и позволит более точно прогнозировать потенциальные угрозы.

Eric Pulick, Yonatan Mintz

Despite the massive costs and widespread harms of substance use, most individuals with substance use disorders (SUDs) receive no treatment at all. Digital therapeutics platforms are an emerging low-cost and low-barrier means of extending treatment to those who need it. While there is a growing body of research focused on how treatment providers can identify which patients need SUD support (or when they need it), there is very little work that addresses how providers should select treatments that are most appropriate for a given patient. Because SUD treatment involves months or years of voluntary compliance from the patient, treatment adherence is a critical consideration for the treatment provider. In this paper we focus on algorithms that a treatment provider can use to match the burden-level of proposed treatments to the time-varying engagement state of the patient to promote adherence. We propose structured models for a patient's engagement over time and their treatment adherence decisions. Using these models we pose a stochastic control formulation of the treatment-provider's burden selection problem. We propose an adaptive control approach that estimates unknown patient parameters as new data are observed. We show that these estimates are consistent and propose algorithms that use these estimates to make appropriate treatment recommendations.

Boyou Chen, Gerui Xu, Zifei Wang et al.

Vehicle crashes involve complex interactions between road users, split-second decisions, and challenging environmental conditions. Among these, two-vehicle crashes are the most prevalent, accounting for approximately 70% of roadway crashes and posing a significant challenge to traffic safety. Identifying Driver Hazardous Action (DHA) is essential for understanding crash causation, yet the reliability of DHA data in large-scale databases is limited by inconsistent and labor-intensive manual coding practices. Here, we present an innovative framework that leverages a fine-tuned large language model to automatically infer DHAs from textual crash narratives, thereby improving the validity and interpretability of DHA classifications. Using five years of two-vehicle crash data from MTCF, we fine-tuned the Llama 3.2 1B model on detailed crash narratives and benchmarked its performance against conventional machine learning classifiers, including Random Forest, XGBoost, CatBoost, and a neural network. The fine-tuned LLM achieved an overall accuracy of 80%, surpassing all baseline models and demonstrating pronounced improvements in scenarios with imbalanced data. To increase interpretability, we developed a probabilistic reasoning approach, analyzing model output shifts across original test sets and three targeted counterfactual scenarios: variations in driver distraction and age. Our analysis revealed that introducing distraction for one driver substantially increased the likelihood of "General Unsafe Driving"; distraction for both drivers maximized the probability of "Both Drivers Took Hazardous Actions"; and assigning a teen driver markedly elevated the probability of "Speed and Stopping Violations." Our framework and analytical methods provide a robust and interpretable solution for large-scale automated DHA detection, offering new opportunities for traffic safety analysis and intervention.

Shahid Sher, Sajjad Ullah, Dilara Abbas Bukhari et al.

In this study, Brevibacterium sp. strain CS2 was used to evaluate the mechanisms of arsenic interaction with the bacterium and its enzymatic and protein profiling under arsenic stress. The bacterium was capable to resist the arsenate 280 mM and arsenite 40 mM as per MIC. The whole genome, available on NCBI, was analyzed for genes associated with arsenic, which confirmed the genes for both arsenic oxidation (aioB) and arsenic reduction arsR, arsC, ACR3, and arsB. The sharpening and shifting of FTIR spectra in the ranges of 3278–2851 cm−1 are due to hydroxyl and amide stretching. SEM analysis showed no significant changes in morphology in arsenic stress while EDX analysis proved the arsenite interaction by showing arsenic peaks in the graph. Both glutathione and non-protein thiol showed different responses in the absence and presence of arsenic stress. Protein bands such as 25, 30, 32, 37, 42, 48, and 100 kDa were expressed more in arsenic-treated samples as compared to the control one. The presence of arsenic oxidizing genes, the ability to resist arsenic, and the varied response of enzymes and proteins in arsenic stress make the bacterium a suitable agent for arsenic eradication from contaminated sites.

Monika Motaghi, Firouz Amraie, Neda kouravand

Background: Periodontal diseases are prevalent chronic multifactorial conditions that significantly affect individuals' quality of life across various dimensions. Additionally, the association and impact of periodontal disease on systemic health have been a focus of medical attention for many years. This influence is particularly recognized as a risk factor in several conditions, notably coronary artery disease. Consequently, enhancing awareness and improving the attitudes of healthcare professionals toward this association is of great importance. Numerous studies have been conducted to evaluate the level of awareness and attitudes regarding this impact. This study has investigated the knowledge and attitude of medical intern students of Kashan University of Medical Sciences. Methods: In this descriptive study, a knowledge of the effect of periodontal disease on systemic diseases and their attitude towards periodontal in medical interns of Kashan University of Medical Sciences, a total of 160 people who were selected by census method, were investigated using a questionnaire based on the study by Thomas and Pralhad in 2011. The obtained data was analyzed by SPSS software with independent t-tests, one-way analysis of variance, and Pearson's correlation coefficient. Results: A total of 160 medical interns were surveyed. There was a significant positive correlation between the age of students and their attitude toward periodontal health (p=0.024). Additionally, the student's knowledge and attitudes toward periodontal health were not significantly associated with the level of information about periodontal disease or the predominant source of oral health information (p>0.05). Moreover, knowledge of the impact of systemic diseases or conditions on periodontal disease was significantly correlated with awareness of the impact of systemic diseases on periodontal health (p<0.001). Furthermore, attitudes toward periodontal health showed a significant positive correlation with knowledge of the systemic impact on periodontal disease (p<0.01). Conclusion: The results of the study indicated that the participant's knowledge regarding the impact of periodontal disease on systemic health is moderate. While the majority of participants assess their knowledge about periodontal issues as insufficient, they believe that clinical and theoretical education related to this topic should be included in the curriculum of their studies. Furthermore, they express a positive attitude toward acquiring more information and education on this matter.

Saeideh Sadeghi, MoradAli Zareipour, Nahid Ardian et al.

Background: Due to the importance of the issue and the fact that up-to-date studies in this topic have not been conducted in Yazd city, the present research was conducted to investigate and determine the intensity and frequency of domestic violence among pregnant women. Methods: This was a cross-sectional and descriptive study and sampling was done by simple random method. pregnant women referred to health centers in Yazd in 2021 participated in the study. For the study, 246 pregnant women were selected from 3 health centers in Yazd city in 2021. The tool used for the study was the standard questionnaire known as the Revised Conflict Tactics Scales (CTS2). This questionnaire was utilized to assess domestic violence, measures of dispute resolution, and demographic characteristics. After inputting the data into the SPSS version 26, Mann-Whitney and Kruskal-Wallis non-parametric statistical tests were used for data analysis. Results: The results showed that the average age of women was 31.47 ± 7.68 with a minimum age of 17 and a maximum of 55. The severity and frequency of the types of violence were measured, and the types of violence in the extreme state related to physical, mental, sexual, and verbal violence and resulting in physical injury were found to be 10%, 25%, 7%, 10%, and 19% respectively. Violence against pregnant mothers showed a significant relationship with the economic status of the family, the age of the mother's marriage, the education level of the parents, and the duration of their marriage (p<0.001). One of the most important variables affecting the severity and frequency of violence against pregnant women was the economic status of the family (p<0.001). Conclusion: The findings of this study show a connection between education level, economic status, and the prevalence of domestic violence. It is suggested to prioritize the development of diverse communication and problem-solving skills, as well as education related to family behavior on a wider scope.

Richa Aeri, Fariba Farhoud

Background: Intimate partner violence (IPV) is one of the major causes of anxiety, depression, and post-traumatic stress disorder and can have a negative impact on the mother during pregnancy. This review aims to understand the health consequences of IPV on maternal mental health so that effective interventions and policies can be developed and implemented to provide support to victims, promote gender equality, and prevent adverse maternal outcomes. Methods: A systematic search was conducted as per the PRISMA guidelines. Computer database researches were conducted using the following databases: Google Scholar, Psych INFO, Medline, Scopus, Web of Science, and PubMed. The literature was screened by titles and abstracts and by applying keyword search. The following keywords were searched: women, violence, domestic violence, intimate partner violence, IPV, pregnancy, antenatal, conception, maternal health, child health, mental health, and maternal mental health. The literature search was done from 2014 to 2024. Results: IPV not only poses adverse effects on the well-being of the victim but also disrupts the stability of the environment of the home. It impacts the health, nurturing care, and overall development of the child. Children born to mothers exposed to violence during pregnancy may have lower birth weights and experience higher rates of mortality, preterm births, and lower Apgar scores. The negative effects of IPV on child health also extend beyond the child's cognitive development, impacting the academic performance of their peers. Conclusion: A vast majority of the incidents involving IPV go unreported due to fear, shame, stigma, or lack of awareness. This can affect the accuracy of the actual data of prevalence. In addition, societal norms, gender stereotypes, and male dominance may add to the effects of IPV, making it difficult for the victims to seek help.

Atefeh Abdollahi, Mostafa Ebrahimpour, MohammadRahim Ramazanian et al.

Introduction: New technologies have profoundly changed the way people communicate and interact with their surroundings. These technologies affect every industry. Now, if according to the common definition, we define the supply chain as a set of interconnected activities that include coordination, planning and control of products and services between suppliers and customers. Looking at technological advances, we realize that these traditional structures are no longer self-sufficient, because digitalization has affected almost all aspects of human life, especially supply chain processes. The technologies of the fourth generation of industry represent the industrial revolution that has combined the Internet of Things with automatic systems such as artificial intelligence and its subset of machine learning, which are self-adjusting and self-learning. Such technological systems can change the supply chain from a centralized state to a distributed state, in fact, the deployment of these technologies provides distribution and decentralization for supply chains. The globalization of the economy and the increase in commercial competition have increased the importance of using innovative methods to achieve the goals of the supply chain. With the automation of processes, business activities have moved from manual operations to electronic transactions and all organizational processes have benefited from information and communication technologies. Considering that the design of most processes is at the disposal of centralized centers; There are always problems such as: poor efficiency, coordination at a low level and poor cooperation between the departments of a business unit, the emergence of distributed frameworks such as the blockchain platform and 4.0 generation technologies in addition to Organizations are helped in having complete transparency in transactions and cooperation with each other. They can share transactions on a peer-to-peer page.Methodology: The purpose of research is to identify the components of the intelligent distributed supply chain and provide the structure of causal relationships for them, as well as the analysis of each of them in the framework of the presented structure. In the present research, codes and categories were first identified using the grounded method, and then the fuzzy cognitive mapping method was used to determine causal-effect relationships.In order to design the structure of the cause-effect relationships of the components of the intelligent distributed supply chain, it was extracted according to the fuzzy cognitive mapping method. Collective mapping was obtained by calculating the average of experts' opinions. According to its components, distributed decentralized supply chain can lead to improvement in information flows, promote healthcare and provide fair access to medical services. Also, assigning treatment priority to patients according to their physical condition for medical care, complying with the terms and conditions of the production line, reducing fraud, detecting authorized hazardous substances and removing drugs that have been licensed outside of the legal criteria can influence the company.Results and Discussion: High rents in the supply, prescription and treatment of the country to a great extent. The components of the correct implementation of the guidelines for hazardous drugs, the correct implementation of GMP rules, improvement in demand forecasting, correct and timely response of suppliers and suppliers, transparency and traceability, reduction in executive costs, Reducing the risk of implementing projects and carrying out contracts, behavioral data analysis algorithms, error and fraud detection algorithms, processes of identification, discovery, analysis, redesign, implementation and deployment, execution and monitoring, analysis of purchase plans and Procurement provides the possibility of tracking the information, political, monetary and back and forth flows of medicine, which represents its supply and demand among the manufacturer, government sector, patients, pharmacies, insurers, retailers of raw materials and importers. and reduces the possibility of fraud and corruption.Also, allocating treatment priority to patients according to their physical condition for medical care, complying with the terms and conditions of the production line, reducing fraud, detecting authorized hazardous substances and removing drugs that have been licensed outside of the legal criteria can influence the company. High rents in the supply, prescription and treatment of the country will be reduced to a great extent, which can be more effective for special and incurable patients, we know for certain that the required medicine for import and production, it is difficult and sometimes impossible to correctly identify and choose, with these created solutions, transparency is determined in whether the goal of the treatment program has been taken into account. Because we know that the distribution of special benefits is under the control of government officials and they define the priorities of subsidy allocation according to their decision-making power; This can be considered as one of the cases of corruption in the country's pharmaceutical industry.Conclusion: In the end, the improvement in the stock of raw materials and finished products, the non-issue of licenses for non-hazardous production lines in line with the production of hazardous drugs, the non-importation of domestic similar drugs, the elimination of middlemen and backdoors, the transparency of production costs. Transparency in contracts, transparency in the interests of the involved parties, transparency in payment to pharmaceutical companies, transparency in payment of pharmaceutical centers to drug dealers, transparency in pharmacy drug items, transparency in the risks after taking drugs, transparency in the way the budget is spent, The transparent and traceable payment system makes it clear whether the distribution and granting of licenses to natural or legal persons is done based on legal criteria and competently, while the government authority and decision-maker to avoid disclosure or The monopoly of the market cannot limit the transaction within the circle of friends and acquaintances, the benefit of political influence for the production of drugs and the distribution of imported drugs has been greatly reduced, the privileges have been removed from the circle of friends and acquaintances and in a competitive environment, they are given to companies. It will be real or legal that provide fair access to medical services.

Mohammad Reza Golpayegani, Mohammad Reza Foroughi-Gilvaee, Pooya Faranoush et al.

Background: Chronic and debilitating diseases induce several psychiatric consequences. The current research determines the prevalence of depression in hemophilia patients. Methods: This is a cross-sectional study of 80 hemophilia patients referred to Mohammad Kermanshahi Hospital in Iran in 2020. The subjects were selected using the sampling method. The data collection tool includes a demographic information checklist, clinical and medical records, and Beck Depression Inventory-Second Edition (BDI-II). Data analysis was performed using frequency, percentage, and Chi-square tests. Results: The results demonstrated that the prevalence of depression in hemophilia patients was 57.5%. Furthermore, the prevalence of depression was not associated with age, education, occupation, marital status, type of hemophilia, disease severity, age of onset (i.e., disease diagnosis age), orthopedic complications, and monthly bleeding episodes ( P-Values > 0.05). However, among the patients who consumed narcotics, only 25.8% were not depressed; on the other hand, 53.1% of those who did not consume narcotics were. A clear statistically significant correlation between narcotics use and the prevalence of depression was presented (P-Value < 0.01). Conclusions: The present study reveals a significant prevalence of depression among hemophilia patients, with a notable correlation observed between depression rates and the use of narcotics drugs.

Aqsa Pervaiz, Sohail Anjum Shahzad, Mohammed A. Assiri et al.

Isopthalamide based probe DPI has been synthesized by an easy two-step substitution reaction. Unique fluorescence properties of probe DPI were exploited for sensing of CNˉ and chloroform. Various spectroscopic techniques such as NMR, LC-MS, SEM, DLS, UV-Vis. and fluorescence spectroscopy in combination with DFT studies were used to confirm efficient detection of CN‾ through a non-covalent interaction of cyanide with probe. Furthermore, probe showed fluorescence emission at 360 nm which shifted significantly to 415 nm upon addition of water exhibiting unique AIE characteristics and formation of desired J-aggregates. Mechanistically, CN‾ and chloroform were selectively detected through fluorescence quenching with 9 nM and 0.2 % v/v limit of detection (LOD), respectively. Photoinduced electron transfer (PET) was proven to be involved as a sensing mechanism. Moreover, DPI exhibited interesting solvatochromism properties. DPI was proven to be a highly sensitive probe which showed solid-state and vapor phase on-field detection of CN‾. Similar sensing behavior of DPI probe towards CN‾ was seen in food and water samples.

Razieh Bagheri, Alireza Bakshaish, Hassan Zareei Mahmoodabadi

Background: Consolidating families is a crucial strategy that can enhance and ultimately solidify marital relationships. Factors such as emotions, personality traits, and interpersonal intimacy significantly influence family stability, contributing to mental health promotion and overall societal happiness. Thus, this study aims to predict family stability through emotional regulation and sexual self-efficacy while examining the mediating role of marital intimacy. Methods: This descriptive-correlational research targeted all married individuals in Yazd City (with a minimum of five years marriage) in 2022. A total of 200 participants were selected using convenience sampling methods. The study employed questionnaires assessing family stability(Low scores in the family stability questionnaire indicate greater stability), sexual self-efficacy, emotion regulation, and marital intimacy. Data analysis was conducted using Amos and SPSS software packages. Results: The findings revealed that there was no statistically significant relationship between cognitive reappraisal and suppression considering family stability (p > 0.05). Conversely, a significant negative correlation was found between family stability and sexual self-efficacy (p < 0.05). Furthermore, a positive and significant association was between sexual self-efficacy and cognitive reappraisal, while a negative and significant correlation was observed between marital intimacy and suppression (p < 0.05). Sexual self-efficacy demonstrated a significant direct negative impact on family stability (β = -0.22). In addition, both sexual self-efficacy (β = 0.16) and cognitive reappraisal (β = 0.66) exhibited significant and direct positive effects, whereas suppression (β = -0.46) had a significant direct and negative effect on marital intimacy. Conclusion: Enhancing sexual self-efficacy along with marital intimacy and effective emotion regulation among couples can create favorable conditions for family stability and  consolidation, marking an important advancement in promoting lasting marital relationships. Keywords: Emotion regulation, Family, marriage, , Sexual Behavior,  Self-efficacy, Marital intimacy

Yunhui Jiang, Fan Zhang, Yuwei Zheng et al.

Photoacoustic imaging (PAI) and ultrasound imaging (USI) are important biomedical imaging techniques, due to their unique and complementary advantages in tissue's structure and function visualization. In this Letter, we proposed a coaxial photoacoustic-ultrasound dual-modal imaging system (coPAUS) with disposable opto-acoustic window. This opto-acoustic window allows part of light to go through it, and another part of light to be converted to ultrasound transmission signal by photoacoustic effect. By single laser pulse illumination, both PA signals and reflected US signals can be generated. Then, a linear array probe receives both PA and US signals, enabling simultaneous dual-modal PA and US imaging. Ex vivo experiments were conducted involving pencil lead, hair, and plastic tube with black spot, as well as in vivo experiment on human finger. The system's resolutions for PA and US imaging are 215 um and 91.125 um, with signal-to-noise ratios for PA and US signals reached up to 37.48 dB and 29.75 dB, respectively, proving the feasibility of the coPAUS dual-modal imaging. The proposed coPAUS system with disposable opto-acoustic window provides an immediate and cost-effective approach to enable US imaging capability based on an existing PA imaging system.

Atefeh Ahmadi Sanori, Mohammad Hossein Sorbi, Sima Abdi Kazaj et al.

Background: This research was conducted with the aim of comparing family awareness, emotional climate, and emotional divorce among married men and women in Yazd. Methods: The study was of an analytical type and was conducted cross-sectional, with the participation of 250 married men and women who had sought counseling services in Yazd due to family problems. The sampling method in this research was purposive. Data were collected using a demographic form, the Family Awareness Scale (FAS), the Emotional Climate Scale for Couples (ECSC), and the Emotional Divorce Scale (EDS). The data were analyzed using SPSS-21 software. Results: Pearson correlation coefficients showed a significant negative relationship between family awareness and emotional climate (r = -0.71) and emotional divorce (r = -0.70), and a significant positive relationship between emotional climate and emotional divorce (r = 0.86, p < 0.01). Independent t-test showed that women had lower family awareness than men. Furthermore, women scored higher on emotional climate and emotional divorce compared to men, and these results were statistically significant (p < 0.01). Conclusion: The results indicate that women have lower family awareness than men, which, in addition to creating a tension-inducing emotional climate, increases the likelihood of emotional divorce. Therefore, it is recommended for couple’s therapists to develop practical programs to enhance family awareness skills as an effective step in reducing emotional divorce and increasing emotional climate between spouses.

Zs. Regaly, V. Frohlich, P. Berczik

Context: Potentially hazardous asteroids (PHA) in Earth-crossing orbits pose a constant threat to life on Earth. Several mitigation methods have been proposed, and the most feasible technique appears to be the disintegration of the impactor and the generation of a fragment cloud by explosive penetrators at interception. However, mitigation analyses tend to neglect the effect of orbital dynamics on the trajectory of fragments. Aims: We aim to study the effect of orbital dynamics of the impactor's cloud on the number of fragments that hit the Earth, assuming different interception dates. We investigate the effect of self-gravitational cohesion and the axial rotation of the impactor. Methods: We computed the orbits of 10^5 fragments with a high-precision direct N-body integrator of the eighth order, running on GPUs. We considered orbital perturbations from all large bodies in the Solar System and the self-gravity of the cloud fragments. Results: Using a series of numerical experiments, we show that orbital shear causes the fragment cloud to adopt the shape of a triaxial ellipsoid. The shape and alignment of the triaxial ellipsoid are strongly modulated by the cloud's orbital trajectory and, hence, the impact cross-section of the cloud with respect to the Earth. Therefore, the number of fragments hitting the Earth is strongly influenced by the orbit of the impactor and the time of interception. A minimum number of impacts occur for a well-defined orientation of the impactor rotational axis, depending on the date of interception. Conclusions: To minimise the lethal consequences of an PHA's impact, a well-constrained interception timing is necessary. A too-early interception may not be ideal for PHAs in the Apollo or Aten groups. Thus, we find that the best time to intercept PHA is when it is at the pericentre of its orbit.

Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma et al.

This paper addresses the problem of predicting hazards that drivers may encounter while driving a car. We formulate it as a task of anticipating impending accidents using a single input image captured by car dashcams. Unlike existing approaches to driving hazard prediction that rely on computational simulations or anomaly detection from videos, this study focuses on high-level inference from static images. The problem needs predicting and reasoning about future events based on uncertain observations, which falls under visual abductive reasoning. To enable research in this understudied area, a new dataset named the DHPR (Driving Hazard Prediction and Reasoning) dataset is created. The dataset consists of 15K dashcam images of street scenes, and each image is associated with a tuple containing car speed, a hypothesized hazard description, and visual entities present in the scene. These are annotated by human annotators, who identify risky scenes and provide descriptions of potential accidents that could occur a few seconds later. We present several baseline methods and evaluate their performance on our dataset, identifying remaining issues and discussing future directions. This study contributes to the field by introducing a novel problem formulation and dataset, enabling researchers to explore the potential of multi-modal AI for driving hazard prediction.