Unpredictable Events Research Articles

First-in-Human Abdominal Aortic Aneurysms Trial with Tricaprin (F-HAAAT): Study Design and Protocol

Approximately 2–12% of individuals aged > 65 years worldwide are estimated to have an abdominal aortic aneurysm (AAA), with a mortality rate exceeding 60% in rupture cases. The sole preventive intervention against rupture is timely surgery, which requires substantial medical resources, including postoperative complication management. Although numerous randomized clinical trials have been performed, no oral medication effectively treats AAA. Tricaprin, a medium-chain triglyceride (MCT) with three capric acids, is used in dietary therapy for metabolic and neurological disorders. Our group recently reported that tricaprin, unlike other MCTs, showed reverse remodeling of AAA in a rat model. Determining whether this basic finding could be translated to clinical practice is important. The First-in-Human Abdominal Aortic Aneurysms trial with Tricaprin (F-HAAAT) proposes the first-in-human AAA trial to confirm the safety of tricaprin in patients with small AAA, exploring novel assessment methods to evaluate treatment efficacy. This single-center, open-label, single-arm study will include ten patients (aged 50–85 years) with small AAA (30–45 mm in diameter) receiving daily oral tricaprin (1.5–3.0 g/day) for 52 weeks. Primary endpoints include safety evaluation of tricaprin determined by monitoring all adverse events, particularly major adverse cardiovascular events, AAA-related adverse events, and other unpredictable events. Secondary endpoints include parameters to validate tricaprin efficacy by measuring AAA diameter, volume, and Agatston score, and analyzing computed tomography values of the aortic aneurysmal wall. F-HAAAT outcomes may provide insights into noninvasive methods for indirectly analyzing AAA pathological characteristics and revealing aneurysmal reverse remodeling. (jRCTs051240036, Japan Registry of Clinical Trials)

Context Based Ranking Strategies for Renowned Instructional Methodologies

The main objective of this work is to validate the decisions made towards adoption of appropriate instructional methodologies based on the context of a specific region considering the quality of education, the cost of education and the learning outcomes as predominant parameters. The non-deterministic events and uncertain situations that may arise over a long-range period impose a vague and fuzzy environment in the educational system. Investigations have been made to identify suitable educational framework for implementation in the institutions of a specific region in view of these unpredictable events and non-deterministic conditions. Fuzzy decision analysis and rough set theory have been applied to rank the prominent instructional methodologies which are encompassed within each educational framework. Hurwicz Rule is adopted to balance the pessimistic and optimistic opinions about the non-deterministic events while validating the merits of the instructional methodologies. Grey relational analysis is carried out while ranking instructional methodologies in a vague environment. In this work, the instructional methodologies are ranked using fuzzy entropy as well as crisp entropy measures and the outcomes of the fuzzy and rough sets-based decision analysis have been validated.

“When you have stress because you don’t have food”: Climate, food security, and mental health during pregnancy among Bakiga and Indigenous Batwa women in rural Uganda

Climate change exerts wide-ranging and significant effects on global mental health via multifactorial pathways, including food insecurity. Indigenous Peoples and pregnant women inequitably experience the harms associated with climate change and food insecurity. This study explores food security and maternal mental health during pregnancy among rural Ugandan Bakiga and Indigenous Batwa women in the context of climate change. Using a community-based research approach, we conducted a series of focus group discussions about climate, food security, and health during pregnancy in four Indigenous Batwa communities and four Bakiga communities in rural Kanungu District, Uganda, as well as longitudinal follow up interviews later in the year. Data were evaluated using a qualitative thematic analysis. Women consistently identified mental health as an important factor affecting maternal-fetal wellbeing during pregnancy. Many women identified that weather and climate extremes, such as prolonged droughts and unpredictable weather events, have made it more difficult for them to obtain sufficient food for themselves and their families during pregnancy, resulting in significant mental distress. More extreme weather conditions have made physical labour difficult or impossible during pregnancy, and resultant hunger further decreased ability to obtain food—a vicious cycle. Women described how anxiety was compounded by worry about future famine, as they anticipated further decreases in crop yields and rising food prices in a changing climate. Indigenous Batwa women experienced additional distress around their lack of access to Indigenous lands and its nutritious food sources. Overall, mothers in rural Uganda described food insecurity and climate extremes as major sources of stress during pregnancy, and they anticipate challenges will worsen. Interventions to enhance adaptive capacity to climate change are needed and should have a focus on the intricate connections with food insecurity and mental health as drivers of overall maternal health.

Developing a Disaster Recovery Plan to Enhance Corporate Resilience and Ensure Business Continuity

Disasters occur in the corporate operational environment. Earthquakes, floods, fires, and other unpredictable events that might disrupt company activities are among these calamities. The incidence of disasters in the workplace adds to unfavorable consequences. As a result, the construction of a disaster recovery plan becomes necessary for the firm to manage the bad consequences that may arise as a result of the unfavorable occurrences. With a disaster recovery strategy in place, a firm can sustain and swiftly restart normal operations. The firm's disaster recovery plan is a written document that outlines an efficient strategy for dealing with unforeseen and unmanageable catastrophes. Developing a disaster recovery strategy ensures the organization's survival by responding effectively to the present calamity.

A novel operational protocol for the establishment of a medical facility for receiving returning hostages: structure, process and outcomes

BackgroundOn October 7, 2023, Hamas carried out an unprecedented attack on the State of Israel and kidnapped 251 people into captivity to the Gaza Strip. Several months later, as part of a humanitarian exchange deal, 105 hostages were released in five phases and admitted to one of six hospitals throughout the country for treatment. Shamir Medical Center (SMC) was one of these facilities. This study aims to describe the structure, process and outcomes of establishing a comprehensive, multi-step, operational protocol for receiving hostages returning from captivity.MethodThe process of preparing SMC as a receiving center, the establishment of procedures for implementation of the medical protocol, and the assessment of multi-disciplinary team preparedness and implementation and outcomes in an institutional protocol are described.Results24 returning hostages were received at SMC. Social workers, dietitians and translators were used by 100% of the majority group of returning hostages from the same country of origin and the sole individual from the other country of origin utilized a dietitian, social worker, ENT consultations, and a hearing test. Among the majority group, orthopedic and dermatological consultations were utilized by 17.4% and 13% received an ENT consultation. Of the administered imaging, 13% received a chest X-ray, 8.7% received a limb X-ray, 17.4% received a head CT scan, and 4.3% received an abdominal CT. In addition, 21.7% were provided antibiotic therapy. Protocol efficacy was measured by assessing time to various operational aspects of protocol implementation and medical procedures such as mean hours to room assignment, primary physician evaluation and social worker session. No correlation between age and operational variables was found.ConclusionThis novel operational protocol was successfully implemented and may serve as a framework for managing similar unpredictable sensitive events in the case of future need.

Validation of the HCM Risk-SCD model in patients with hypertrophic cardiomyopathy and future perspectives

Abstract Background/Introduction The fact that hypertrophic cardiomyopathy (HCM) is associated with sudden cardiac death (SCD) due to malignant ventricular arrhythmias underlies its clinical importance (1). SCD in patients with HCM is often an unpredictable event, occurring without previous warning signs or symptoms, and is most common in the young middle-aged group (2). The greatest dilemma in the management of HCM patients is to identify the high-risk population for SCD. The HCM risk- SCD model provides a useful convenience in determining the risk of SCD in patients with HCM even though some patients with low-risk scores still remain at risk of SCD (3). These results have increased the interest in additional strategies to improve the existing risk model. Purpose Hence, the aim of our study was to assess the performance of HCM Risk-SCD in a large series of consecutive patients with HCM who had been followed up in a tertiary centre. Methods The study population consisted of 389 consecutive HCM patients who had been followed up between 2004 and 2021. Demographic and clinical characteristics estimated 5-year risk using the HCM Risk-SCD model were compiled and survival data were collected during follow-up. Patients were divided into 2 groups according to their long-term survival and HCM risk-SCD scores of these two groups were compared. Results The long-term mortality was observed in 47 patients out of 389 patients in the mean follow-up of 55.5 ± 12.7 months. The mean HCM Risk-SCD of surviving patients was significantly lower than that of non-survivors (1.8% vs. 3.0%, p<0.001). The HCM Risk-SCD score was above 6% in 9 (2.6%) survivors and 9 (19.1%) non-survivors (p<0.001). Considering the Kaplan-Meier curve based on the 6% HCM Risk-SCD score, patients at ≥6% risk also had a significantly higher long-term risk of death compared to those with <6% (log-rank test value: 33.72, p<0.001) (Figure 1). The ROC curve based on the HCM Risk-SCD score had 61% sensitivity and 61% specificity for risk for 2.0%, 38% sensitivity and 99% specificity for ≥4%, 17% sensitivity and 99% specificity for ≥6% (Figure 2). Conclusion(s) In conclusion, the current study demonstrates that the HCM risk-SCD model, while easily calculable and clinically useful, does not reliably identify a significant subset of patients with HCM who will potentially be at lifetime risk of SCD. Identifying patients with hypertrophic cardiomyopathy at high risk for SCD who deserve ICD therapy is a critical management priority. A new risk algorithm that can detect the SCD risk of HCM patients with higher sensitivity is needed.Figure 1Figure 2

Combining the uncombinable: corporate memories, ethnobiological observations, oceanographic and ecological data to enhance climatic resilience in small-scale fisheries

The global food production system is increasingly strained by abrupt and unpredictable weather events, which hinder communities' ability to adapt to climate variations. Despite advances in meteorological predictions, many communities lack the academic knowledge or infrastructure to interpret these complex models. This gap highlights the need for solutions that make climate forecasts more accessible and actionable, especially for communities reliant on natural resources. This study explores the potential of enhancing seasonal climate forecasts by integrating local ecological knowledge (LEK) with scientific data. Specifically, we combined ethnobiological information gathered between 2022 and 2024 with existing oceanographic and ecological data to create an ethnobiological calendar for four fishing cooperatives. An ethnographic approach was used to understand the population's ethnobiological knowledge and their perceptions of marine heatwaves and climate change impacts. Coastal monitoring data was collected using moorings that recorded temperature over a 14-year period (2010–2024). To characterize giant kelp dynamics, we used an existing dataset of multispectral Landsat images, which estimates the surface canopy biomass of giant kelp forests. Ecological monitoring was conducted annually every summer from 2006 to 2023 to record the in situ abundance of ecologically and economically important invertebrate and fish species. Combining oceanographic, ecological, and ethnographic data, allowed for alligning fishers' observations with recorded marine heatwave events and ecological shifts. Our findings revealed that these observations closely matched documented marine heatwave data and corresponding ecological changes. The integration of LEK with scientific oceanographic data can significantly improved our understanding of dynamic climate regimes, offering contextually relevant information that enhances the reliability and utility of seasonal climate forecasts. By incorporating yearly data into an ethnobiological calendar, we promote more inclusive, community-based approaches to environmental management, advocating for the integration of LEK in climate adaptation efforts, emphasizing its crucial role in strengthening resilience strategies against climatic shocks.

Transmediatic depth of «The New York Times» and «El País» in their coverage of Boris Johnson’s resignation

A decade after the implementation of multimedia frameworks in the news media, it is necessary to determine which mechanisms have been incorporated into the daily routines of the news media. To accomplish this, we analysed the channels, forms and intertextual modalities employed by two leading international newspapers in their coverage of an unpredictable news event with global repercussions and a specific period: the UK government crisis of July 2022, which led to the resignation of the British Prime Minister Boris Johnson. We used a qualitative methodology of transmedia information analysis (Calvo & Serrano Tellería, 2021), adapted to assess the daily operations of online media in updating their content. Additionally, interviews were conducted with the teams responsible for this coverage. The coverage analysis revealed a transmedia depth of ten to eleven informative modalities. We found several residual differences in their audience participation policies. Certain generalist modalities, such as live streaming, video news, podcasts or social networks, were well established and used to attract readership. Furthermore, various models of newsletters and discussion forums with varying levels of access restriction were employed. However, neither of the studied media outlets offered an auditory transcription of their content. While a specific transmedia information model is emerging in digital media, further research should be undertaken to complement these findings.

Unified Effort: Developing a Mixed Reality Serious Game for Collaborative Crisis Management Training

Abstract: Crises and disasters include both predictable and unpredictable events. In a turbulent world that has recently experienced a pandemic and wars, and is increasingly affected by climate change, there is a growing need to develop effective public crisis management capabilities. Emergency preparedness is a critical foundation for crisis management. Training and exercises are essential components of preparedness and are becoming increasingly relevant for a wide range of organisations in society. To achieve a unified response to threatening events, a wide range of actors - with different backgrounds, objectives, competencies and organisational frameworks - must overcome the challenges of working together. To address this complex situation, forums for knowledge sharing and learning are required. Serious games in mixed reality can be used as a platform for collaborative training and serve as such a forum. Mixed reality systems connect virtual and physical reality, providing users with a sense of immersion, engagement and interaction in both environments. The aim of this paper is to design a short, serious game for collaboration training with two command levels in a mixed reality. Theories of crisis management, along with related research on serious games design, create the framework for the game. The game content was further developed in a co-design process with selected professionals. This paper describes the development of the “Unified Effort” game. The serious game is designed for basic training of municipalities and county offices in soft skills such as communication, situational awareness and group decision making. The game is not intended to replace hard skills such as procedural training and field drills, but can be used as a supplement to this type of training.

Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster.

Biodiversity is increasingly threatened by unpredictable, frequent, and intense climatic events like heatwaves that pose harmful impacts on ectotherms. Beyond the health and survival of organisms, reduced reproductive performance has emerged as a critical fitness consequence of thermal stress induced by high temperatures. Many studies on these effects expose organisms to heat stress during the adult stage or throughout development, often focusing on cumulative effects across life stages, and they tend to examine one or the other sex. This approach may not reflect the short-term nature of many extreme heat events and limits our understanding of stage- and sex-specific fitness consequences in short-lived organisms. To address this gap, we used Drosophila melanogaster to investigate the sex-specific reproductive performance following short heat stress of varying intensity at different developmental stages. We found the thermal sensitivity to be higher in males than females, and to increase toward adult emergence, leading to nearly complete reproductive failure and substantially slowed recovery. These results highlight how even brief bouts of heat stress during a sensitive phase could affect population dynamics and persistence. Our findings also underscore that incorporating both sex and life stage could improve predictions of species persistence.

Integrating Blue-Green Infrastructure strategies to enhance climate resilience in Colombia.

Colombia is a tropical developing country that faces frequent and unpredictable flood events. Previous efforts to mitigate the impacts of flood have revolved around traditional approaches like the construction of levees. However, as seen in other parts of the world, levees often make flooding worse. Considering the increasing frequency and severity of extreme weather associated with a changing climate, it is clear there is a pressing need for more effective strategies to mitigate the impacts of extreme weather events. However, poor data availability makes understanding flood risk and developing new approaches a difficult task. This research examines the feasibility of Blue-Green Infrastructure (BGI) as a nature-based methodological approach to deal with flooding focuses, focusing on the Guarapas River and Pitalito town, in regional Colombia. Utilizing PCSWMM as a modelling tool, the study demonstrates the applicability of BGI in reducing peak flow. Validating the model proved difficult given the substantial gaps in official data sources. So, it was necessary to use proxies such as social media posts of flood events, to determine the date and severity of flood events in the town. The analysis revealed that deploying a limited number of BGI elements can mitigate the adverse effects of floods in a cost-effective manner, and that the underpinning modelling could be carried out using data proxies such as local news reports and social media posts. This research contributes to the growing body of knowledge on BGI as a valuable solution for flood management in a changing climate but does so in a developing country context. By showcasing the feasibility of BGI in reducing peak flow and enhancing resilience in a region with limited data resources, this study shows that it is possible for developing countries to move away from traditional and sometimes increasingly ineffective solution. Barriers to adoption are still significant. But nature-based solutions to flooding represent a new, proactive measure in addressing the challenges posed by climate change, with implications for policymakers and stakeholders involved in sustainable planning. Keywords: Blue-Green Infrastructure, Climate change, Sustainable development, Developing countries, Water management.

Landslides: A Review from the Southern Western Ghats of India

ABSTRACT Landslides are the most unpredictable catastrophic events in mountainous and hilly regions. South Western Ghats one among of the regions in India that have experienced recurring landslides due to increase in pre-and post-monsoon rains. Landslides often cause damage to buildings, roads, natural vegetation, even result in the loss of human lives in South Western Ghats with indirect impact on the socioeconomic status of the country. It is crucial to depict the current trend technologies and their performance in landslide studies, offering valuable insights into mitigation strategies. This article highlights on prevalent techniques for mapping landslide zones, along with major conditional factors and assess the performance of these techniques in landslide susceptibility mapping of the South Western Ghats. Landslide studies of the South Western Ghats reveal 20% of the research work with the Landsat 8 OLI for mapping landslides, 13.3% of the studies using the higher spatial resolutions 2.5m and 10m of Cartosat DEM, the rest of the studies were based on the spatial resolution of 12.5m and 30m from ALOS PALSAR, ASTER and SRTM DEM. About 26% landslide studies have employed quantitative approaches primarily the frequency ratio of bivariate. Subsequently machine learning techniques such as random forest and support vector machine have gained prominence, accounting for 33% landslide studies. The literature depicts precipitation as a significant triggering factor and slope as the major conditional factor in the occurrence of landslides within the South Western Ghats. Prioritized densely populated areas in landslide studies have increased attention to smaller geographical areas and forest regions in the South Western Ghats to protect both inhabitants and ecosystems.

The impact of predicted and unpredicted events on the spatial priority map: evidence from multivariate pattern analyses in EEG

The impact of predicted and unpredicted events on the spatial priority map: evidence from multivariate pattern analyses in EEG

416 Implementation of virtual fencing in heifers for mountain summer grazing

Abstract A virtual fencing (VF) system is based on a smartphone application that defines an invisible grazing boundary based on global positioning. Animals are tracked via GPS collars. When reaching the virtual boundary, the collar emits an ascending audio tone, followed by a mild electric pulse (0.2 Joule) when crossing it. The technology is particularly promising in rough and extensive mountainous areas where physical fencing is difficult and more time-consuming. Environmental conditions may also affect the functionality of the VF system, with potential impacts on animal behavior. Therefore, the present study tested a VF system on 30 female heifers in a rotational grazing system on Swiss mountain pastures (approximately 1,300 to 1,500 m above sea level). Each heifer was equipped with a VF collar (Nofence AS, Batnfjordsør, Norway) for individual recording of audio tones and electric pulses. After two wk of VF training in the lowlands (approximately 700 m above sea level), during which the heifers learned to interpret the VF signals correctly, they were transported to the mountain pasture. For mountain grazing, the herd was divided into three groups of 10 heifers each, balanced for age (mean ± SD: 11.9 ± 1.6 mo) and breed (Holstein-Friesian, Montbeliarde, crossbreeds). The outer perimeter of the mountain pasture was surrounded by an electric fence. Its inner area was divided into 3 electrically fenced and 6 virtually fenced paddocks. For 83 d, all groups grazed simultaneously in separate paddocks and rotated sequentially through the 9 paddocks. Video cameras were placed along the virtual fences to record animal responses after receiving audio tones or electric pulses. Moreover, grass height was measured using a rising plate meter to estimate forage availability in the currently grazed paddocks. Throughout mountain grazing, each heifer received an average of 4.9 ± 6.9 audio tones and 0.3 ± 0.7 electric pulses per day. Generalized mixed-effects models revealed that the number of audio tones and electric pulses did not change over grazing periods or among days after paddock change. Behavioral responses of the animals were less pronounced once the heifers had learned the VF system. In addition, grazing interruptions after receiving an audio tone or electric pulse were shorter during mountain grazing compared with the training period (P < 0.001). Furthermore, lower grass heights (P < 0.05) as well as the occurrence of (common but) unpredictable events (P < 0.001), such as the presence of wildlife (e.g., lynx, deer) or neighboring cattle, increased the number of audio tones and electric pulses during mountain grazing. The VF system was still effective in keeping the heifers within their assigned paddocks under mountainous conditions. However, a well-considered handling when changing paddocks as well as a careful placement of the virtual fence is essential to avoid negative effects on the animals.

EXPLORING THE ROLE OF NGS IN GENETIC PROFILING FOR UNDERSTANDING NON-VIOLENT SUDDEN CARDIAC DEATH IN ASTANA

Sudden cardiac death is an unexpected and often unpredictable event that can have serious consequences for the health and lives of individuals not only in middle age but also in young individuals. Mutations, particularly in genes associated with cardiovascular disease, may play a main role in the development of such events, but their exact role and impact require detailed study and prevention of the development of new mutations by using the Next-generation sequencing (NGS). To evaluate the diagnostic importance of next-generation sequencing (NGS) by using our developed cardiogenetic panel in molecular autopsy in sudden non-violent deaths. A prospective study was conducted from 2018 to 2023 focusing of young individuals aged 18 to 45 years resigning in Astana who died of non-violent CVD. The data were analyzed from RSCE "Forensic Expertise Centre of the Ministry of Justice of the Republic of Kazakhstan" "Research Institute of Forensic Expertise" in Astana, blood samples were obtained from SCD victims for further DNA extraction. We implemented a next-generation sequencing (NGS) using the customized panel to target enrichment of coding sequences of 96 candidate genes in molecular autopsies of young adults who died of SCD. All identified genetic variants were classified according to ACMG guidelines in cases with non-diagnostic and diagnostic cardiac abnormalities (ischemic heart disease postmortem). Targeted sequencing and stepwise filtering of annotated variants identified 251 unique variants in 86 genes out of 96 in the entire group of cases studied. In patients with SCD with ischemic changes in the heart postmortem, the most frequent mutations were identified in the TTN, MYBPC3, LAMA2, MYH6 and GAA genes. Pathogenic variants in the genes of ion channels KCNQ1, KCNJ2, SCN5A, RYR2 were detected in individuals with non-diagnostic structural anomalies of the heart. Genetic screening of individuals who died of SCD identified variants with likely pathogenic functional effects with high frequency in 63% and 35% of SCD cases with non-diagnostic and diagnostic cardiac abnormalities, respectively, showing the high diagnostic value of genetic screening using a panel of genes for targeted NGS. Data from our prospective study have shown that genetic testing using NGS in young Astana victims with SCD results in a significant number of mutations, consequently, may allow genetic counselling of relatives to prevent SCD due to coronary heart disease and arrhythmias and may support differential diagnosis postmortem. Supported by Committee of Science of the of Science and Higher Education of Republic of Kazakhstan (AP1486990) and Nazarbayev University CRP(211123CRP1608).

Brain encoding of naturalistic, continuous, and unpredictable tactile events.

Studies employing EEG to measure somatosensory responses have been typically optimized to compute event-related potentials in response to discrete events (ERPs). However, tactile interactions involve continuous processing of non-stationary inputs that change in location, duration, and intensity. To fill this gap, this study aims to demonstrate the possibility of measuring the neural tracking of continuous and unpredictable tactile information. Twenty-seven young adults (females = 15) were continuously and passively stimulated with a random series of gentle brushes on single fingers of each hand, which were covered from view. Thus, tactile stimulations were unique for each participant, and stimulated fingers. An encoding model measured the degree of synchronization between brain activity and continuous tactile input, generating a temporal response function (TRF). Brain topographies associated with the encoding of each finger stimulation showed a contralateral response at central sensors starting at 50 ms and peaking at about 140 ms of lag, followed by a bilateral response at about 240 ms. A series of analyses highlighted that reliable tactile TRF emerged after just 3 minutes of stimulation. Strikingly, topographical patterns of the TRF allowed discriminating digit lateralization across hands and digit representation within each hand. Our results demonstrated for the first time the possibility of using EEG to measure the neural tracking of a naturalistic, continuous, and unpredictable stimulation in the somatosensory domain. Crucially, this approach allows the study of brain activity following individualized, idiosyncratic tactile events to the fingers.Significant Statement This study expands the current research conducted on neural tracking, opening the exploration of idiosyncratic tactile events and overcoming constraints of laboratory tasks that typically rely on discrete events. We validated a protocol for the ecological investigations of continuous, slow, tactile processing of the hands. The employed approach enriches the possible use of the EEG to characterize somatosensory neural representations of tactile events. Findings unravel coherent neural responses to continuous and naturalistic touch, with sensitivity for digit lateralization and representation.

Dynamic flexible job shop scheduling based on deep reinforcement learning

The unpredictable dynamic events in smart factory seriously influence the scheduling schemes and production efficiency. To minimize the total tardiness of orders, this paper proposes a Deep Reinforcement Learning (DRL) method to solve the Dynamic Flexible Job Shop Scheduling Problem (DFJSP) with random job arrival. In the scheduling process, the intelligent agent can select the operations to be processed on the available machines according to the job shop state at each scheduling point by transforming DFJSP into a Markov Decision Process (MDP). For reflecting the job shop environment, eight state features are extracted, and six composite dispatching rules are designed as the action space. Moreover, a reward function is developed to enhance the learning efficiency and solution quality of the intelligent agent, the Soft-max selection strategy is applied to balance exploration and exploitation. The Dueling Double Deep Q-Network (Dueling DDQN) algorithm is introduced to train the intelligent agent, which effectively alleviates the overestimation problem. Numerical simulation results show that the proposed Dueling DDQN method effectively solves the DFJSP. Compared with existing scheduling strategies, the proposed approach not only exhibits superior performance but also maintains its advantages among different scale instances.

Does the stress axis mediate behavioural flexibility in a social cichlid, Neolamprologus pulcher?

Behavioural flexibility plays a major role in the way animals cope with novel situations, and physiological stress responses are adaptive and highly efficient mechanisms to cope with unpredictable events. Previous studies investigating the role of stress responses in mediating behavioural flexibility were mostly done in laboratory rodents using stressors and cognitive challenges unrelated to the ecology of the species. To better understand how stress mediates behavioural flexibility in a natural context, direct manipulations of the stress response and cognitive tests in ecologically relevant contexts are needed. To this aim, we pharmacologically blocked glucocorticoid receptors (GR) in adult Neolamprologus pulcher using a minimally invasive application of a GR antagonist. GR blockade prevents the recovery after a stressful event, which we predicted to impair behavioural flexibility. After the application of the GR antagonist, we repeatedly exposed fish to a predator and tested their behavioural flexibility using a detour task, i.e. fish had to find a new, longer route to the shelter when the shortest route was blocked. While the latencies to find the shelter were not different between treatments, GR blocked fish showed more failed attempts during the detour tasks than control fish. Furthermore, weak performance during the detour tasks was accompanied by an increase of fear related behaviours. This suggests that blocking GR changed the perception of fear and resulted in an impaired behavioural flexibility. Therefore, our results support a potential link between the capacity to recover from stressors and behavioural flexibility in N. pulcher with potential consequences for an effective and adaptive coping with changing environments.

The critical elements of the health system that could make for resilience in the World Health Organization African Region: a scoping review.

Unpredictable events, such as the outbreak of infectious diseases and humanitarian crises, are putting a strain on health care systems. As a result, African countries will need to prepare themselves with appropriate strategies to withstand such occurrences. Therefore, the purpose of this scoping review was to map available evidence about what type and what components of health systems are needed to help countries cope with health emergencies and to foster health system resilience in the WHO African Region. A systematic search was performed independently in Scopus and PubMed electronic databases as well as grey literature. Studies were selected based on set eligibility criteria based on the Joanna Brigg's Institute (JBI) methodology for scoping reviews. The key findings were focused on health system resilience and were mapped based on the WHO's core health system components. Our data were tabulated, and a narrative synthesis was conducted. A total of 28 studies were included in this scoping review, mostly conducted in the WHO African Region and region of the Americas. Studies focused on a variety of strategies, such as the continuous delivery of essential services, the strengthening of the health workforce, including community health care workers, community engagement, the provision of protective mechanisms for the health workforce, and flexible leadership and governance measures. Our findings suggest that strategies to improve health system resilience must include all areas of the healthcare delivery process, including primary care. A resilient health system should be ready for a crisis and have adaptable policies in place to offer adequate response at all levels, as well as post-recovery planning. Such health systems should also seek for continuous improvement. More research is needed to assess the efficacy of initiatives for improving health system resilience, particularly in vulnerable African health systems.

Maternal risk-management elucidates the evolution of reproductive adaptations in sharks by means of natural selection

Maternal investment theory is the study of how breeding females allocate resources between offspring size and brood size to achieve reproductive success. In classical trade-off models, r/K-selection and bet-hedging selection, the primary predictors of maternal investments in offspring are population density and resource stability. In crowded, stable environments, K-selected females invest in large offspring at an equivalent cost in brood size. In uncrowded, unstable environments, r-selected females invest in large broods at an equivalent cost in offspring size. In unpredictable resource environments, bet-hedging females invest moderately in brood size and offspring size. The maternal risk-management model represents a profound departure from classical trade-off models. Maternal investments in offspring size, brood size, and brood number are shaped independently by autonomous risk factors: the duration of gaps in resources during seasonal cycles, rates of predation, and unpredictable catastrophic events. To date, no single model has risen to a position of preeminence. Here in sharks, we show that maternal investments within and across species do not agree with the predictions of trade-off models and instead agree with the predictions of the maternal risk-management model. Within and across shark species, offspring size and brood size were independent maternal investment strategies. The risk of starvation favored investments in larger offspring. The risk of predation favored investments in larger broods. If empirical studies continue to confirm its predictions, maternal-risk management may yet emerge as a unifying model of diverse reproductive adaptations by means of natural selection.