Effective Prevention Research Articles

IMCMK-CNN: A lightweight convolutional neural network with Multi-scale Kernels for Image-based Malware Classification

Rapid and accurate identification of unknown malware and its variants is the premise and basis for the effective prevention of malicious attacks. However, with the explosive growth of malware variants, the efficiency of manual updating of the sample database is getting worse and worse. It is difficult for the traditional identification methods to effectively capture the sample feature information operated by the confusion method only based on the delayed database information. The research into the direction of malware detection is dedicated to surmounting the limitations of conventional detection methodologies, and delves deeply into the application of cutting-edge technologies such as data visualization, machine learning, and hybrid detection within the realm of malware detection. Through these investigations, our goal is to construct a detection system that is both more precise and efficient, capable of addressing the ever-evolving threats to cybersecurity. Pursuing research in this direction is not only vital for enhancing network security defenses and safeguarding user data, but it will also foster the advancement of related state-of-the-art technologies and further mitigate the economic and societal repercussions of malware attacks. In light of this issue, this paper proposes the Image-based Malware Classification with Multi-scale Kernels (IMCMK), a Convolutional Neural Network (CNN) architecture using multi-scale convolution kernels mixing action to improve malware variants detection capabilities. First, we propose the Multi-scale Kernels (MK) block combining deep large kernel convolution and standard small kernel convolution with shortcuts to improve the accuracy. Furthermore, we propose Multi-scale Kernel Fusion (MKF) to reduce the number of parameters that come with the large kernels. The improved Squeeze-and-Excitation (SE) block can obtain the correlation between different channels to further increase the model performance. Experimental results show that IMCMK outperforms the state-of-the-art methods in malware family classification accuracy, which has achieved 99.25 %.

Assessing Older Adults' Readiness for Adopting Fall Prevention Recommendations Using the Transtheoretical Stages of Change.

Objectives: Reducing fall risk requires older adults (age 65+) to adopt effective prevention strategies. This study has three aims: 1) understand Stage of Change (SOC) for three fall prevention strategies; 2) determine strategies older adults' use; and 3) understand which characteristics relate to readiness to take action. Methods: A survey of 1063 older adults assessed fall risk, SOC, and use of fall prevention strategies. Data analysis included descriptive statistics and regression analysis. Results: The most common SOC for older adults by strategy was action for overall fall prevention (61%), contemplation for medication management (45%), and preparation and action for strength/balance (29% each). Believing falls are preventable was most strongly related to being in a Change stage (e.g., action, maintenance) for overall fall prevention (Risk Ratio: 1.4, 95% CI: 1.1, 1.7). Discussion: Health promotion can focus on increasing knowledge of evidence-based fall prevention strategies to encourage older adults to take action.

Endocrine-Disrupting Chemicals, Hypothalamic Inflammation and Reproductive Outcomes: A Review of the Literature

Endocrine-disrupting chemicals (EDCs) are environmental and industrial agents that interfere with hormonal functions. EDC exposure is linked to various endocrine diseases, especially in reproduction, although the mechanisms remain unclear and effects vary among individuals. Neuroinflammation, particularly hypothalamic inflammation, is an emerging research area with implications for endocrine-related diseases like obesity. The hypothalamus plays a crucial role in regulating reproduction, and its inflammation can adversely affect reproductive health. EDCs can cross the blood–brain barrier, potentially causing hypothalamic inflammation and disrupting the reproductive axis. This review examines the existing literature on EDC-mediated hypothalamic inflammation. Our findings suggest that exposure to 2,3,7,8-tetrachloro-dibenzo-p-dioxin (TCDD), polychlorinated biphenyl (PCB), tributyltin (TBT), phthalates, bisphenol A (BPA), and chlorpyrifos (CPF) in animals is linked to hypothalamic inflammation, specifically affecting the hypothalamic centers of the gonadotropic axis. To our knowledge, this is the first comprehensive review on this topic, indicating hypothalamic inflammation as a possible mediator between EDC exposure and reproductive dysfunction. Further human studies are needed to develop effective prevention and treatment strategies against EDC exposure.

Predicting the effect of nosocomial infection prevention on neonatal mortality and hospital stay in Ethiopia: a prospective longitudinal study

BackgroundNeonatal Nosocomial infections (NNIs) are a significant cause of morbidity and mortality for neonates in an intensive care unit. Neonatal causes of death in healthcare facilities are attributed to different factors. We aimed to investigate factors associated with NNIs, estimate the burden of NNIs, and assess how the prediction effects help to save medical mortality and length of hospital stay.MethodA prospective longitudinal study was conducted and data were collected from January 2022 to June 2022 from Jimma University Medical Center (JUMC). The data were gathered in a variety of ways, including an in-person interview with the patient’s caregiver, direct observations of neonatal patients, and a review of the study participants’ charts. This study includes patients aged 3 to 28 days who were admitted to the JUMC neonatal ward and stayed for at least 48 h. Multi-state model formulation and multivariate logistic regression were used for data analysis.ResultsA total of 545 neonates were included out of 688, and 30% (n = 164) of them acquired nosocomial infections (NIs); 98 (33%) of infected patients were born prematurely; and 71 (31.4%) were underweight at birth. NIs were higher in neonates with long hospital stay (AOR: 1.16, 95%CI: 1.13–1.20), use of urinary catheters (AOR: 3.09, 95%CI: 1.55–6.15), and undergoing surgical procedures (AOR: 2.42, 95%CI: 1.13–5.17). Patients who developed NIs had a higher risk of death (HR: 2, 95% CI: 1.31, 3.04). The burden of neonatal NIs was determined to have a risk of 0.3, a mortality rate of 9.6%, and an average duration of hospital stay of 14.6 days. Competing risk regression suggests that neonates with NIs have a significantly higher risk of death than those who are not infected (HR: 16.42, 95% CI: 8.70-30.98, p < 0.001). Assumed prevention that decreases the NIs rate in half would result in 101 lives and 1357 patient days saved from 10,000 neonatal inpatients.ConclusionUrinary catheterization and surgical procedure increased neonatal NIs. Longer hospital stay can increase the risk of NIs and can also result from the NIs. Our finding indicated that effective prevention of NIs could help reduce neonatal deaths and their hospital stays.

A Review of the Applications of Vitamin C to Treat Human Diseases

AbstractVitamin C, a ubiquitous water-soluble vitamin, has been demonstrated to have several biological activities, including the promotion of collagen production, enhancement of immunity, facilitation of iron absorption, and improvement of fat metabolism. Thus, it has a multitude of applications in the medical field, such as whitening, antioxidation, and the prevention of a wide range of diseases. Conversely, its lack of stability and low permeability limit its applicability. This review presents a summary of the physicochemical properties, delivery strategies, and biological activities of vitamin C. Additionally, this review provides an overview of its preventive and therapeutic effects on diseases such as cataracts, tumors, and cardiovascular conditions. Finally, this review explores the prospective applications of vitamin C as a pharmaceutical agent. A variety of vitamin C derivatives and delivery systems have been developed to overcome the instability and low permeability of vitamin C. However, several challenges persist, including the uncertain efficacy of derivatives and the complexities associated with the implementation of delivery systems. It is anticipated that future advancements will facilitate the development of delivery forms and the utilization of vitamin C in novel applications.

Research on an Equivalent Algorithm for Predicting Gas Content in Deep Coal Seams

This document introduces a novel equivalent algorithm for forecasting gas content within deep coal seams, which is subject to constraints stemming from the advancements and precision achieved in well and roadway engineering endeavors. This algorithm meticulously acknowledges that coal seam gas content comprises three fundamental components: the inherent gas emission rate of the equivalent stratum, the residual gas content retained within the coal seam itself, and the influence imparted by the gas content within the coal seam. Furthermore, the approach thoroughly considers variations in the level of porosity development within the coal seam and its surrounding rock formations, as well as the occurrence of gas within these structures. The equivalent layer is classified into two distinct groups: the sandstone zone and the clay zone. The sandstone zone utilizes pertinent parameters pertaining to fine sandstone, whereas the clay zone distinguishes between clay rock and thick mudstone. The influencing factor considerations solely encompass natural elements, such as the coal seam’s occurrence and geological structure. The residual gas content employs either existing measured parameters or acknowledged experimental parameters specific to the coal seam. Based on this predictive approach, an intelligent auxiliary software (V1.0) for mine gas forecasting was devised. The software calculates the gas content of deep coal seams within the mine at intervals of 100 m × 100 m, subsequently fitting the contour lines of gas content across the entire area. The gas content predictions derived from this equivalent algorithm demonstrate robust adaptability to variations in gas content caused by construction activities, and the prediction results exhibit an acceptable level of error on-site. Notably, the prediction process is not constrained by the progress of tunnel engineering, ensuring that the prediction outcomes can accurately represent the distribution characteristics of deep coal seam gas content. After a year of application, the prediction results have consistently met on-site requirements, providing a scientific foundation for the implementation of effective gas prevention and control measures in the mining area. Furthermore, this approach can effectively guide the formulation of medium- and long-term gas prevention and control plans for mines.

MetsDB: a knowledgebase of cancer metastasis at bulk, single-celland spatial levels.

Cancer metastasis, the process by which tumour cells migrate and colonize distant organs from a primary site, is responsible for the majority of cancer-related deaths. Understanding the cellular and molecular mechanisms underlying this complex process is essential for developing effective metastasis prevention and therapy strategies. To this end, we systematically analysed 1786 bulk tissue samples from 13 cancer types, 988463 single cells from 17 cancer types, and 40252 spots from 45 spatial slides across 10 cancer types. The results of these analyses are compiled in the metsDB database, accessible at https://relab.xidian.edu.cn/metsDB/. This database provides insights into alterations in cell constitutions, cell relationships, biological pathways, molecular biomarkers, and drug responses during cancer metastasis at bulk, single-cell, and spatial levels. Users can perform cell or gene searches to obtain multi-view and multi-scale metastasis-related data. This comprehensive resource is invaluable for understanding the metastasis process and for designing molecular therapies.

Prevalence of thalassaemia among childbearing-age Li and Han populations in Hainan Province.

Accurate epidemiological data are crucial for effective disease prevention and treatment. We conducted a large-scale survey to explore the thalassaemia prevalence and spectrum among the two major ethnic groups in Hainan Province. A total of 399,053 childbearing-age individuals of Li (n = 77,563) and Han(n = 321,490) ethnic groups were recruited from 18 cities and counties in Hainan, and their thalassemia genotypes were systematically screened and statistically analysed. This study revealed a significantly higher thalassaemia carrier rate in the Li (55.39%) than that in the Han (13.13%). Specifically, the carrier rate of α-thalassaemia was 46.39% in the Li and 10.02% in the Han. The predominant α-thalassaemia mutations were - α3.7 and - α42. in Li, whereas the main mutation were - SEA and - α4.2 in Han. For β-thalassaemia, the carrier rates were 1.68% in Li and 2.38% in Han, with CD41-42(-CTTT) the most prevalent mutation in both groups. The carrier rates of β-/α-compound thalassaemia were 7.32% in Li and 0.73% in Han. Additionally, there were regional differences in the distribution of thalassemia among the Li and Han within Hainan Province. Epidemiological characteristics and molecular spectrum of thalassaemia among the Li and Han ethnic groups in Hainan were revealed in this study. These findings can provide a scientific basis to develop and implement prevention strategies for thalassaemia in Hainan.

Adverse childhood experiences predict anxiety during postpartum and early childhood parenting

Perinatal anxiety disorders (PAD) affect one in five pregnant/postpartum people and are associated with adverse maternal and child health outcomes. Effective treatment and prevention rely on early identification and management of risk factors. Our study fills a gap in literature about how maternal adverse childhood experiences (ACEs) relate to PAD during and beyond the postpartum period. Using longitudinal data from a population-based sample of mothers in Colorado, USA (N = 1116), we evaluated whether maternal ACEs predicted self-reported anxiety symptoms, measured six times between 3 and 36 months postpartum. A mixed mean model of anxiety was fit with ACEs as the predictor and maternal age, race, ethnicity, education, marital status, and parity as covariates. Controlling for sociodemographic covariates, mothers reporting four or more ACEs had significantly higher levels of anxiety than those reporting less than four ACEs (b = 0.84, 95% CI (0.53, 1.15), p<.001) over the three-year period. Mothers of younger age at time of birth (25–34 years vs. <24 years: b=-0.54, 95% CI (-1.00, −0.08), p=.02) and non-Hispanic ethnicity (b = 0.47, 95% CI (0.09, 0.85), p=.01) were also found to have higher anxiety over this period. Our findings support screening for and addressing maternal ACEs early in obstetric care and well-child visits through trauma-informed, strengths-based approaches that promote maternal, child, and intergenerational well-being.

High-resolution modeling and projection of heat-related mortality in Germany under climate change.

Heat has become a leading cause of preventable deaths during summer. Understanding the link between high temperatures and excess mortality is crucial for designing effective prevention and adaptation plans. Yet, data analyses are challenging due to often fragmented data archives over different agglomeration levels. Using Germany as a case study, we develop a multi-scale machine learning model to estimate heat-related mortality with variable temporal and spatial resolution. This approach allows us to estimate heat-related mortality at different scales, such as regional heat risk during a specific heatwave, annual and nationwide heat risk, or future heat risk under climate changescenarios. We estimate a total of 48,000 heat-related deaths in Germany during the last decade (2014-2023), and the majority of heat-related deaths occur during specific heatwave events. Aggregating our results over larger regions, we reach good agreement with previously published reports from Robert Koch Institute (RKI). In 2023, the heatwave of July 7-14 contributes approximately 1100 cases (28%) to a total of approximately 3900 heat-related deaths for the whole year. Combining our model with shared socio-economic pathways (SSPs) of future climate change provides evidence that heat-related mortality in Germany could further increase by a factor of 2.5 (SSP245) to 9 (SSP370) without adaptation to extreme heat under static sociodemographic developments assumptions. Our approach is a valuable tool for climate-driven public health strategies, aiding in the identification of local risks during heatwaves and long-term resilience planning.

A nationwide longitudinal survey of infantile injury and its recurrence in Japan.

Injury recurrence in young children is a significant public health concern, as it may indicate an unfavorable home environment. This study evaluates whether infantile injuries increase recurrence during preschool years, contributing to more effective prevention strategies for vulnerable families. The study included 20,191 children from "The Longitudinal Survey of Babies in the 21st Century," a representative sample of infants born in Japan between May 10 and 24, 2010. We conducted a logistic regression analysis to compare injury recurrence risk between children aged 18 months to seven years with and without infantile injury histories. The study revealed that infants with a history of injuries had a higher risk of subsequent hospital visits for injuries during preschool years (crude Odds Ratio (cOR) 1.52, 95% CI, 1.41-1.64, adjusted OR (aOR) 1.48, 95% CI 1.37-1.60). Specific injuries, such as falls (aOR 1.34, 95% CI, 1.26-1.43), pinches (aOR 1.22, 95% CI, 1.15-1.29), drowning (aOR 1.29, 95% CI, 1.19-1.40), ingestion (aOR 1.35, 95% CI, 1.17-1.55), and burns (aOR 1.47, 95% CI, 1.31-1.65), independently increased the risk of future injuries. Our findings highlight the necessity of universal safety measures in the home environment and targeted interventions for families with a history of high-risk injuries.

Security Protection of Video-GIS Data Based on Data Encryption and Digital Watermarking

Abstract. Video-GIS data, a novel generation of multimedia produced through the integration of geographic videos and GIS, has evolved into an innovative form of geospatial data representation. As a kind of digital products, Video-GIS data is vulnerable to unauthorized replication, dissemination, and usage. The potential for large-scale leakage of sensitive or confidential information, including commercial, political, military, and personal privacy data, poses a significant threat to the rights of data producers and may even compromise national security. Given this context, the primary concern is ensuring the security protection of video data in an open and shared data environment. To address this issue, we propose a novel scheme for the security protection of Video-GIS data in this paper, which collaboratively utilizes digital watermarking and data encryption. In the proposed scheme, Video-GIS data is divided into two categories, i.e., general and confidential, based on the presence or absence of sensitive information within the image frames. Appropriate security measures were meticulously designed for each data type to ensure effective prevention and control. Experimental results indicate that this watermarking algorithm exerts minimal influence on the quality of the Video-GIS data, while simultaneously maintaining optimal invisibility and robustness. The employed audio denoising method is characterized by its low complexity, simplicity, and feasibility, thereby ensuring the security of audio signal storage and transmission. This approach effectively realizes the dual protection objective for Video-GIS data, audio, and video.

Exploring the Interplay of Genetics and Nutrition in the Rising Epidemic of Obesity and Metabolic Diseases

Background: Obesity has become a significant global health issue. This multifaceted condition is influenced by genetic, environmental, and lifestyle factors, significantly influenced by nutrition. Aim: The study’s objective is to elucidate the relationship between obesity-related genes, nutrient intake, and the development of obesity and the importance of other metabolic diseases. Methods: A comprehensive literature review spanning the past two decades was conducted to analyze the contributions of genetic variants—including FTO, MC4R, and LEPR—and their associations with dietary habits, highlighting how specific nutrients affect gene expression and obesity risk and how the coexistence of metabolic diseases such as type 2 diabetes and osteoporosis may modulate these factors. Moreover, the role of epigenetic factors, such as dietary patterns that encourage the development of obesity, was explored. Discussion and Conclusions: By understanding the intricate relationships among genetics, nutrients, and obesity development, this study highlights the importance of personalized dietary strategies in managing obesity. Overall, an integrated approach that considers genetic predispositions alongside environmental influences is essential for developing effective prevention and treatment methodologies, ultimately contributing to better health outcomes in diverse populations.

Determinants of Government Procurement Fraud Prevention with Organizational Commitment and Ethical Culture as Moderating Variables

This study aims to analyze the various factors that influence the prevention of procurement fraud, including the implementation of the Anti-Bribery Management System (ABMS), Government Internal Control System (SPIP), and the role of the Internal Compliance Unit (UKI), with organizational commitment and ethical culture as moderators. It employs a quantitative causal approach, with data collected through surveys and analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM). The results demonstrate that the implementation of ABMS, SPIP, and UKI positively impacts the prevention of procurement fraud. Organizational commitment and ethical culture strengthen the influence of SPIP implementation, while ethical culture weakens the role of UKI in preventing fraud. ABMS, SPIP, and UKI are crucial in fraud prevention, but their effectiveness is enhanced by a strong commitment to ethics. While organizational commitment strengthens SPIP's preventive effects, a strong ethical culture may reduce the reliance on UKI in fraud prevention. These findings underscore the importance of comprehensive anti-fraud measures such as the implementation of ABMS, SPIP, and the establishment of UKI in preventing procurement fraud

THE IMPORTANCE OF FOREST FIRE PREVENTION ACTIVITIES

This study addresses the importance of forest fire prevention and combat activities, emphasizing environmental education as a tool for preventing forest fires in Canaã dos Carajás. The social relevance of the topic is highlighted by the significant impact of forest fires on the environment, economy, and public health, especially in the context of the Amazon Rainforest, which is essential for global climate regulation. The research is descriptive and combines data collection methods, including document analysis and semi-structured interviews. The document analysis involves reviewing reports, public policies, scientific articles, and educational materials, while the interviews are conducted with a representative sample of residents, educators, local authorities, and civil defense professionals. The general objective of the study is to analyze the effectiveness of environmental education activities in preventing forest fires. The specific objectives include analyzing residents’ perceptions of the importance of prevention, the influence of public policies, and proposing improvements in environmental education strategies. The research identified the urgent need for effective conservation policies, given the importance of the Amazon Rainforest in climate regulation. In Canaã dos Carajás, rapid urbanization driven by mining and a lack of resources and infrastructure are critical challenges for forest fire prevention. The interdisciplinary approach, using qualitative and quantitative techniques, allowed for a detailed analysis of the challenges faced and best practices. Location maps and satellite images were used to analyze the distribution of fire outbreaks. The results underline the importance of an integrated approach to fire prevention, highlighting the effectiveness of public policies and the need for ongoing training. This study provides valuable contributions to the formulation of public policies and educational strategies, promoting environmental education and active community involvement as key elements for effective forest fire prevention.

The Role of Peptides in Combatting HIV Infection: Applications and Insights.

Peptide-based inhibitors represent a promising approach for the treatment of HIV-1, offering a range of potential advantages, including specificity, low toxicity, and the ability to target various stages of the viral lifecycle. This review outlines the current state of research on peptide-based anti-HIV therapies, highlighting key advancements and identifying future research directions. Over the past few years, there has been significant progress in developing synthetic peptide-based drugs that target various stages of the viral life cycle, including entry and replication. These approaches aim to create effective anti-HIV therapies. Additionally, peptides have proven valuable in the development of anti-HIV vaccines. In the quest for effective HIV vaccines, discovering potent antigens and designing suitable vaccine strategies are crucial for overcoming challenges such as low immunogenicity, safety concerns, and increased viral load. Innovative strategies for vaccine development through peptide research are, therefore, a key focus area for achieving effective HIV prevention. This review aims to explore the strategies for designing peptides with anti-HIV activity and to highlight their role in advancing both therapeutic and preventive measures against HIV.

Identifying System-Level Strategies to Engage in HPV Prevention Across Oral Health and Primary Care Settings

Introduction: HPV vaccination prevents most HPV-related cancers, yet uptake remains low. HPV is linked to an estimated 70% of oropharyngeal cancers (OPCs) in the US and outnumber cases of HPV-related cervical cancers. Not all OPCs can be detected through routine screening, making HPV vaccination a more effective primary prevention strategy. However, bridging primary and oral healthcare faces challenges due to a lack of referral networks between practices. The purpose of this study is to identify key infrastructure elements and policies, as well as HPV prevention strategies, among an academic practice network of dental clinics and partnering community health clinics in a southeastern state. Methods: Researchers held interviews with directors and focus groups with staff at six dental clinics and eight associated community clinics in a southeastern state. Interviews and focus groups at dental and community clinics were analyzed by two study team members using thematic analysis with Nvivo software. Results: A total of 90 participants participated in all focus groups and interviews (N = 14 interviews, 10 focus groups (5–13 participants per focus group). Most participants identified as white (58.9%) and female (70%), with an average age of 38.5 years. Researchers identified nine key study themes: three specific to the dental clinics’ HPV conversations with patients, two related to community clinics’ vaccine provision, and four involving the relationship between the dental and co-located community clinics. Dental clinic staff do not currently discuss HPV with patients. They are open to discussing HPV with patients but anticipate barriers that require preparation to overcome them. Community clinics have demonstrated previous success with HPV vaccination, but patients over the age of 18 face financial barriers to vaccination. Community clinics and dental clinics report that they do not currently have existing referral networks but are open to a referral system between practices if infrastructure is put into place to support it. Conclusions: Our findings indicate that there is interest in, and potential for, increased discussion of HPV with dental patients and collaboration between dental and community clinics for HPV vaccination referral. The results of this investigation can be used to develop intervention strategies to increase HPV vaccination through referrals between dental clinics and nearby community clinics. Ultimately, this work can reduce health inequities in HPV-related cancers, serve as a model for US dental practices, and possibly influence public health policy.

Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation—Case from the Zhuangguoyu Landslide in Northern China

Rainfall-triggered landslides generally pose a high risk due to their sudden initiation, massive impact force, and energy. It is, therefore, necessary to perform accurate and timely hazard prediction for these landslides. Most studies have focused on the hazard assessment and verification of landslides that have occurred, which were essentially back-analyses rather than predictions. To overcome this drawback, a framework aimed at forecasting landslide hazards by combining UAV remote sensing and numerical simulation was proposed in this study. A slow-moving landslide identified by SBAS-InSAR in Tianjin city of northern China was taken as a case study to clarify its application. A UAV with laser scanning techniques was utilized to obtain high-resolution topography data. Then, extreme rainfall with a given return period was determined based on the Gumbel distribution. The Particle Flow Code (PFC), a discrete element model, was also applied to simulate the runout process after slope failure under rainfall and earthquake scenarios. The results showed that the extreme rainfall for three continuous days in the study area was 151.5 mm (P = 5%), 184.6 mm (P = 2%), and 209.3 mm (P = 1%), respectively. Both extreme rainfall and earthquake scenarios could induce slope failure, and the failure probabilities revealed by a seepage–mechanic interaction simulation in Geostudio reached 82.9% (earthquake scenario) and 92.5% (extreme rainfall). The landslide hazard under a given scenario was assessed by kinetic indicators during the PFC simulation. The landslide runout analysis indicated that the landslide had a velocity of max 23.4 m/s under rainfall scenarios, whereas this reached 19.8 m/s under earthquake scenarios. In addition, a comparison regarding particle displacement also showed that the landslide hazard under rainfall scenarios was worse than that under earthquake scenarios. The modeling strategy incorporated spatial and temporal probabilities and runout hazard analyses, even though landslide hazard mapping was not actually achieved. The present framework can predict the areas threatened by landslides under specific scenarios, and holds substantial scientific reference value for effective landslide prevention and control strategies.

Physical abuse by staff and co-residents of older people and people with intellectual disabilities

Summary Physical abuse in care settings is a social problem with detrimental effects for residents, but effective prevention is dependent on staff reporting. In Sweden, designated officials, commonly social workers, are required to investigate reports of mistreatment. The aim of this study was to analyze what designated officials considered serious in reported incidents of physical abuse in two different care settings: care for older people and care for people with intellectual disabilities. Similar cases of physical abuse were chosen to demonstrate differences between judgments and provide a picture of how designated officials judge the relative seriousness of abusive situations. Interpretative content analysis and analytic induction were used to analyze reports of staff-to-resident abuse and resident-to-resident abuse in the two care areas. Findings There were no differences between incidents described as serious and those described as non-serious. Resident-to-resident abuse was the most commonly reported incident, particularly in dementia care and care for people with intellectual disabilities, and was rarely considered serious. Older people in dementia care were the highest risk group. In staff-to-resident abuse, staff were singled out as scapegoats. Organizational issues, rather than the details of abusive incidents, guided investigators’ judgments of seriousness. Tendencies to normalize violence and apply a narrow understanding of violence were found in the investigator’s judgments, particularly in resident-to-resident abuse. Applications Safeguarding adults from physical abuse in institutional settings is dependent on staff reporting and thorough investigations. This study shows that more training in assessing violence for social workers investigating reports is needed.

The impact of economic, social and health crises on victims of domestic violence

Aim: The situation of victims of domestic violence and partner abuse becomes even more serious in crisis situations. There have been and are ongoing conflicts in the world, which have been scrutinised by economists, sociologists, criminologists, health professionals and lawyers alike in recent years. The latest related research worldwide provides a lot of important new information that can help prepare for the problem and provide professionally competent answers. Methodology: A selection of research conducted in different parts of the world. Summary reports were prepared to shed light on similarities and differences. Findings: It is clear from the processed literature that the individual forms of violence are connected in crisis situations and pose an even greater danger. Violence at the macro level, such as war, also increases violent conflict at the micro level. The crises caused by the fear of COVID, the lockdown, war conflicts, hunger, and the climate disaster spill over into family homes and make the victims of domestic violence and partner abuse even more vulnerable. Most of the processed materials analyse research born after COVID. The COVID–19 epidemic also provided many lessons regarding the management and prevention of the economic effects of future natural disasters and the associated increased domestic violence. Value: Analyses point to relationships that need further research and evaluation. In the future, macro- and micro-level violence research must be continued, common global results must be aggregated, and complex, global solutions must be developed. International organisations must continue to collect data and provide clear guidelines to public bodies and social organisations for the joint management of macro- and micro-level problems.