Substantial Loss Research Articles

Three-dimensional biotemplate-loaded nickel sulfide vacancies engineered to promote the absorption of electromagnetic waves.

Vacancy engineering offers an appealing strategy for modifying the electronic structure of transition metals. Transition metals with abundant sulfur vacancies can significantly contribute to the microwave absorption capabilities of absorbers. In this study, an NixSy@De composite material was synthesized through a straightforward hydrothermal synthesis technique. The effective absorption bandwidth (EAB) of this composite material reached 9.86 GHz at 1.44 mm. A minimum reflection loss (RLmin) of -33.61 dB at 1 mm was achieved, and after mild etching, the RLmin further improved to -93.53 dB at 1.16 mm to achieve a high-attenuation microwave absorption. The exceptional performance of NixSy@De for the absorption of electromagnetic waves (EMWs) is based on its high dielectric loss, substantial magnetic loss, and excellent impedance matching. This work combines transition metal sulfides with three-dimensional biotemplated diatomite, providing valuable insights into the design of advanced EMW absorbing materials.

Introgression of bacterial leaf blight (BLB) resistant gene, Xa7 into MARDI elite variety, MR219 by marker assisted backcrossing (MABC) approach.

Bacterial leaf blight (BLB) is one of the major rice diseases in Malaysia. This disease causes substantial yield loss as high as 70%. Development of rice varieties which inherited BLB resistant traits is a crucial approach to promote and sustain rice industry in Malaysia. Hence, this study aims were to enhance BLB disease resistant characters of high yielding commercial variety MR219 through backcross breeding approach with supporting tool of marker-assisted selection (MAS). Broad spectrum BLB resistance gene, Xa7 from donor parent IRBB7 were introgressed into the susceptible MR219 (recurrent parent) using two flanking markers ID7 and ID15. At BC3F4, we managed to generate 19 introgressed lines with homozygous Xa7 gene and showed resistant characteristics as donor parent when it was challenged with Xanthomonas oryzae pv. oryzae through artificial inoculation. Recurrent parent MR219 and control variety, MR263 were found to be severely infected by the disease. The improved lines exhibited similar morphological and yield performance characters as to the elite variety, MR219. Two lines, PB-2-107 and PB-2-34 were chosen to be potential lines because of their outstanding performances compared to parent, MR219. This study demonstrates a success story of MAS application in development of improved disease resistance lines of rice against BLB disease.

Understanding the impact of cultivated land-use changes on China's grain production potential and policy implications: A perspective of non-agriculturalization, non-grainization, and marginalization

Cultivated land plays a pivotal role in ensuring national food security. The challenges of non-agriculture, non-grain production and the marginalization of cultivated land have become increasingly pronounced in the context of urbanization and industrialization in China, posing potential threats to long-term food security. This study employs a combination of remote sensing and statistical data to reveal the effects of non-agriculturalization, non-grainization, and the marginalization of cultivated land on grain production potential (GPP) at the grid scale. From 1992 to 2020, the total farmland area initially exhibited an ascending trend followed by a subsequent decline, resulting in a net decrease of approximately 0.84% in China. the northward shift in the center of gravity of cultivated land has accentuated the spatial disparity between grain production and consumption. Non-agriculturalization, non-grainization, and marginalization of cultivated land contributed 35.22%, 22.58%, and 42.20% to the GPP loss, respectively. GPP loss exhibited significant differences across the agroclimatic zones, with the combined loss in the Middle-lower Yangtze Plain and Huang-Huai-Hai Plain exceeding 60% of the national total. Cultivated land marginalization has emerged as the most impactful land-use change affecting GPP, leading to a substantial loss of approximately 11471.30 × 104 t. The affected area is predominantly concentrated in the southern region. The marginalization of cultivated land has not been effectively alleviated, and the expansion trend continues. Conservation endeavors targeting cultivated land should prioritize enhancing farmers' willingness to cultivate, curbing the extensive utilization of farmland, and mitigating the escalating trend of farmland marginalization.

Effect of cinnamaldehyde on Rhizopus stolonifer and on the conservation of sweet potato

Abstract Objectives Rhizopus stolonifer, which causes soft rot of sweet potato, has resulted in substantial loss of economy postharvest. Materials and Methods The antifungal effect and mechanism of cinnamaldehyde (CIN) against R. stolonifer were explored by biochemical analysis and RNA-sequencing in this research, and the edible quality of CIN-treated sweet potato was evaluated. Results The results showed that CIN inhibited the growth of R. stolonifer and reduced the incidence of soft rot in sweet potato at a minimum inhibitory concentration of 1000 μL/L. The damage of the cell walls of R. stolonifer by CIN was associated with the upregulation of CHT1. Cytosolic leakage and malondialdehyde content increased following CIN-treatment, which was correlated with increased reactive oxygen species levels and decreased catalase activity. Upregulation of ERG genes and oxidative stress-related genes following CIN treatment was associated with impaired cell membrane integrity. The mitochondrial structure of R. stolonifer was damaged by CIN treatment resulting in decreased respiration rates and ATP production, which was correlated with lower expression levels of IDH1, COX4, and QCR7. Conclusions Our research suggests that the inhibition of CIN on R. stolonifer was related to the disruption of its normal gene expression network, and CIN maintained the nutritional and edible quality of sweet potato. This study provides valuable insights into the antifungal mechanism of CIN on R. stolonifer and the maintenance of root quality, which contributes to the efficient use of CIN for controlling soft rot in sweet potato.

How much carbon storage will loss in a desertification area? Multiple policy scenario analysis from Gansu Province

Carbon storage plays a pivotal role in addressing climate change, maintaining ecological equilibrium, and fostering sustainable development. Gansu Province, situated in the arid to semi-arid region of Northwestern China, is confronted with substantial carbon storage losses as a result of ongoing ecological land desertification processes. However, studies on carbon storage loss under various scenarios in desertified regions are seldom reported. In this study, we delineated the ecological red line using quantified indicators encompassing multiple ecosystem service functions and ecological vulnerability sensitivity. Furthermore, we projected future land use and carbon storage transformations under multiple policy scenarios employing the patch-generating land use simulation (PLUS) model. Lastly, we unveiled spatial disparities in the driving factors behind alterations in carbon storage by geographically weighted regression model. Our findings suggest that: (1) The delineated ecological red line covers an area of 11.8 × 104 km2, approximately 27 % of the total land area of Gansu Province. (2) Quantitative findings reveal that the overall accuracy of the PLUS model reached an impressive 0.975, accompanied by a Kappa coefficient of 0.964, thus affirming the model's exceptional applicability. (3) Under the base line scenario, Gansu Province's carbon storage witnesses a consistent decline from 2000 to 2050, with a substantial total loss of 1.62 × 107 t over the ensuing three decades. The ecological red line scenario, by controlling 27 % of the land area in Gansu Province, achieves a 61.7 % effect of the global ecological scenario by 2050, thus reversing the declining trend in carbon storage. (4) Natural factors primarily influence carbon storage in the southeastern region, while human activity factors are distributed in the central region. This study offers scientifically robust policy recommendations to facilitate the attainment of carbon neutrality objective.

Numerical investigation on the wake and energy dissipation of tidal stream turbine with modified actuator line method

This study evaluates correction methods for the actuator line method in tidal stream turbine calculations. Findings indicate that three-dimensional Gaussian distribution coefficients align closely with experimental results when ε = 2dr. Tip loss correction addresses abnormal axial force coefficient elevation at the blade tip, while stall delay correction minimally impacts standard turbine operation. Root loss correction slightly affects the root vortex but notably delays the disappearance of the nacelle after tail flow's bimodal region to 4D, contrary to observations. Using a cylinder correction at the blade root improves the root vortex representation. Enhanced ALM, combined with LES, simulates wake and energy loss across varying turbulence intensities. At low turbulence, the spiral vortex structure is clearer, with fewer stray vortices and a more regular circular shape. Increasing turbulence blurs the structure, introducing more turbulent vortices and losing regularity. Entropy production concept represents energy losses as total, direct, and turbulence entropy production. Direct entropy production is minimal, localized at blade tip, nacelle, and support structures due to significant velocity gradients. Indirect entropy production causes substantial energy loss, resembling wake flow's vortex pattern due to turbulent pulsation. With higher turbulence, EPR, EPDD, and EPTD decline as wake vortices are disrupted, reducing energy loss.

S-nitrosoglutathione-facilitated activation of ATP synthase involves hydrogen sulfide during the response of plants to cadmium toxicity

The contamination of soils with cadmium (Cd) threatens agricultural productivity worldwide. The ability of plants to withstand challenging circumstances is primarily contingent upon their inherent capacity for tolerance and defense. The purpose of the current work is to gain a better understanding of how the mitochondrial ATP synthase enzyme, the antioxidant defense system, redox homeostasis, and chlorophyll metabolism in tomato seedlings are regulated by nitric oxide and hydrogen sulfide under Cd stress. The results demonstrate that exposure of tomato seedlings to Cd stress resulted in a substantial decrease in the activity of ATP synthase. The plants exposed to Cd stress, exhibited an increase in chlorophyllase activity and a substantial decrease in the activity of δ-aminolevulinic acid dehydratase, which resulted in a substantial loss of chlorophyll content. Elevation in the antioxidant defense system under Cd stress could not bring a significant positive change in the plants’ defense system that resulted in lipid peroxidation and leakage of electrolytes. Incubation of Cd-stressed seedlings with nitric oxide donor S-nitrosoglutathione (GSNO) proved remarkable in improving the performance of the plants. The results exhibit that GSNO application improved the activity of ATP synthase, superoxide dismutase, peroxidase, and catalase and the performance of the ascorbate-glutathione system, which efficiently scavenged excess reactive oxygen species. The positive effect of GSNO application was also shown by decreased lipid peroxidation and electrolyte leakage. However, application of DL-propargylglycine (a biosynthesis inhibitor of hydrogen sulfide) to the stressed-seedlings reversed the effect of GSNO, which resulted in the weak performance of the defense system and the commencement of oxidative stress. The results of the study substantiate that nitric oxide, in association with endogenous hydrogen sulfide, was remarkable in providing protection to the plants against Cd toxicity.

Conceptualization of Flooding Disaster: A Theoretical Perspective of Management

Globally, flooding is a common natural disaster affecting individuals and communities by causing substantial loss of individual properties, public infrastructure, physical environment and even threaten human lives. It is often triggered by the factors like heavy rainfall, storms, hurricanes, flash floods which brings devastating consequences for the affected peoples worldwide including displacement of people, loss of life, health issues and financial losses. During 1995-2015, it affected nearly 2.3 billion people and was responsible for 157,000 deaths globally. Therefore, it requires a strong disaster response framework to mitigating its short and long-term impacts. This response framework should be based on risk assessment, response strategies and building disaster resilience to reduce the people’s overall vulnerability to flooding disasters. The current study aims to conceptualize the flooding disaster through the social vulnerability theory, risk society theory and adaptive governance theory so that policymakers and governments can develop a deeper understanding of the complex factors that contribute to flooding disasters and prepare effective strategies to tackle the disaster effectively. This may include implementing effective preparedness and response measures such as early warning systems, emergency evacuation plans and adequate infrastructure which can help mitigate the risks and subsequent impacts of flooding on individuals and communities.

Challenges and Strategies of Aluminum Anodes for High-Performance Aluminum-Air Batteries.

Aluminum-air battery (AAB) is a promising candidate for next-generation energy storage/conversion systems due to its cost-effectiveness and impressive theoretical energy density of 8100Wh kg-1, surpassing that of lithium-ion batteries. Nonetheless, the practical applicability of AABs is hampered by the occurrence of serious self-corrosion side reactions and substantial capacity loss, resulting in suboptimal anode utilization. Consequently, improving the anode utilization to facilitate the construction of high-performance AABs have attracted widespread attention. Herein, the fundamentals and strategies to enhance aluminum anode utilization are reviewed from modifications of aluminum anodes and electrolytes. This comprehensive review may provide a scientific tool for the development of novel AABs in the future.

THE SYSTEMATIC REVIEW OF STRESS URINARY INCONTINENCE

Introduction: Stress urinary incontinence (SUI) affects around 400,000 women in Switzerland, constituting 60 of cases, with symptoms impacting daily life for over 77.5 of affected individuals, especially those over 40 and in nursing homes. The condition, often triggered by activities like laughing or coughing, ranges from minor leaks to more substantial urine loss, significantly affecting quality of life due to weakened pelvic muscles and other factors like menopause and obesity. Treatment options, from pelvic exercises to surgical procedures, require individualized care and a collaborative healthcare approach. This review aims to explore these advancements, focusing on recent studies in SUI management. Methods: The researchers in this study followed the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines to ensure that their work met the required standards. This was done to ensure the precision and reliability of the conclusions derived from the research. Result: Our search produced 14 results. After looking at the titles and summaries, we discovered 12 papers that fit our criteria after excluding several articles because they did not fit into criteria. But after reading the full papers carefully, we included five papers in our final analysis. These papers included a retrospective observational study and several case reports. Conclusion: Stress urinary incontinence (SUI) affects around 400,000 women in Switzerland, constituting 60 of cases, with symptoms impacting daily life for over 77.5 of affected individuals, especially those over 40 and in nursing homes. The condition, often triggered by activities like laughing or coughing, ranges from minor leaks to more substantial urine loss, significantly affecting quality of life due to weakened pelvic muscles and other factors like menopause and obesity. Treatment options, from pelvic exercises to surgical procedures, require individualized care and a collaborative healthcare approach. This review aims to explore these advancements, focusing on recent studies in SUI management

Metamorphic P-T-t evolution of ultrahigh-temperature granulite facies metapelites from the Lundazi terrane, Irumide Belt, Eastern Zambia

The Lundazi terrane is part of the Mesoproterozoic Irumide Belt of Central Africa which together with other terranes of similar ages are interpreted to record collisional events relation to the amalgamation of the Rodinia Supercontinent. Pelitic granulites from the area preserve evidence of ultrahigh-temperature metamorphism and partial melting with complex textures involving garnet + sillimanite + spinel + quartz ± cordierite ± orthopyroxene, rare corundum, and ternary feldspars. Garnet porphyroblasts preserve inclusions of spinel + quartz and sillimanite + feldspar which indicate high temperatures were reached during the metamorphic peak. The metamorphic evolution of these rocks has been investigated using phase equilibria modelling and complemented by ternary feldspar thermometry and garnet-orthopyroxene thermobarometry which indicate peak conditions of up to ∼900–1000 °C and 6–9.5 kbar. The preservation of peak assemblages and textural features of these rocks suggest substantial melt loss during their prograde evolution. Melt-reintegrated pseudosections indicate isobaric heating prior to exhumation and subsequent cooling. Monazite EPMA dating identifies the thermal peak occurred at 1056–1028 ± 8 Ma, followed by retrograde recrystallization at 1003 ± 8–975 ± 7 Ma. The high-grade metamorphism is interpreted in terms of clockwise P-T-t paths with retrograde recrystallization marked by the partial resorption of garnet rims to form plagioclase, the growth of late cordierite around garnet and sillimanite, and alteration of monazite. The absence of a Neoproterozoic overprint in the area indicates the Lundazi terrane is part of the Irumide Belt s.s rather than the Southern Irumide Belt, and a revision of the boundary between the two regions is proposed.

Improving multi-focus image fusion through Noisy image and feature difference network

Limited by optical constraints, the acquisition of a comprehensive set of multi-focus images remains a challenge. Leveraging the intrinsic accuracy of focused images, the concept of multi-focus image fusion emerges. However, distinguishing between focused and defocused regions, despite their visual similarities, is complex due to the absence of direct numerical indicators. This study unveils a novel insight: noisy source images lead to more substantial information loss in focus areas than in defocused regions. This observation prompts us to exploit this discrepancy by introducing noise to the source images. Motivated by this discovery, we introduce the Feature Difference Network (DDMF) for Multi-Focus Image Fusion (MFIF), aiming to leverage the differences present within feature dimensions. The pioneering DDMF approach incorporates the diffusion process from the Denoising Diffusion Probabilistic Models, employing it as a mechanism to introduce Gaussian noise to source images. Furthermore, the denoising process enhances feature representation. This equips DDMF to effectively capture hidden differences within features, allowing precise categorization of each pixel. Our extensive experimental evaluation underscores the prowess of DDMF. Through both subjective visual assessment and objective evaluation metrics, DDMF emerges as a frontrunner, surpassing established state-of-the-art MFIF methods.ARTICLE INFO.

Poly-ε-Caprolactone 3D-Printed Porous Scaffold in a Femoral Condyle Defect Model Induces Early Osteo-Regeneration.

Large bone reconstruction following trauma poses significant challenges for reconstructive surgeons, leading to a healthcare burden for health systems, long-term pain for patients, and complex disorders such as infections that are difficult to resolve. The use of bone substitutes is suboptimal for substantial bone loss, as they induce localized atrophy and are generally weak, and unable to support load. A combination of strong polycaprolactone (PCL)-based scaffolds, with an average channel size of 330 µm, enriched with 20% w/w of hydroxyapatite (HA), β-tricalcium phosphate (TCP), or Bioglass 45S5 (Bioglass), has been developed and tested for bone regeneration in a critical-size ovine femoral condyle defect model. After 6 weeks, tissue ingrowth was analyzed using X-ray computed tomography (XCT), Backscattered Electron Microscopy (BSE), and histomorphometry. At this point, all materials promoted new bone formation. Histological analysis showed no statistical difference among the different biomaterials (p > 0.05), but PCL-Bioglass scaffolds enhanced bone formation in the center of the scaffold more than the other types of materials. These materials show potential to promote bone regeneration in critical-sized defects on load-bearing sites.

Sequential monitoring of cancer immunotherapy trial with random delayed treatment effect

ABSTRACT Cancer immunotherapy trials are frequently characterized by a delayed treatment effect that violates the proportional hazards assumption. The log-rank test (LRT) suffers a substantial loss of statistical power under the nonproportional hazards model. Various group sequential designs using weighted LRTs (WLRTs) have been proposed under the fixed delayed treatment effect model. However, patients enrolled in immunotherapy trials are often heterogeneous, and the duration of the delayed treatment effect is a random variable. Therefore, we propose group sequential designs under the random delayed effect model using the random delayed distribution WLRT. The proposed group sequential designs are developed for monitoring the efficacy of the trial using the method of Lan-DeMets alpha-spending function with O’Brien-Fleming stopping boundaries or a gamma family alpha-spending function. The maximum sample size for the group sequential design is obtained by multiplying an inflation factor with the sample size for the fixed sample design. Simulations are conducted to study the operating characteristics of the proposed group sequential designs. The robustness of the proposed group sequential designs for misspecifying random delay time distribution and domain is studied via simulations.

Particle shape anisotropy in pickering interfacial catalysis for Knoevenagel condensation

Dispersions of two immiscible liquids stabilized by solid particles are termed as Pickering emulsions. Stability of such emulsions is affected by various parameters such as amount of solid particle, method of emulsification, size, and shape of particles, etc. In this study, MgO samples prepared by different methods and characterized by XRD, FESEM, HRTEM, DLS, and CO2-TPD techniques were utilized for stabilizing o/w Pickering emulsions. The effect of particle shape on Pickering Interfacial Catalysis (PIC) for Knoevenagel condensation was investigated. It was found that in the case of rod and plate shaped particles, emulsion stability and catalytic activity were higher as compared to those obtained with other MgO samples prepared. The applicability of the MgO-PIC system is also successfully demonstrated for gram scale synthesis (85 % yield in 30 min). The MgO-PIC system was found to be reusable for at least five cycles without substantial loss in activity.

Mycovirus: Biocontrol agent against S. sclerotiorum of Rapeseed

Plant disease control is one of the essential aspects of food production Use of pesticide causes severe damage to our environment and have terrible effects on human health. It has been observed that the abundance use of pesticides also disturbs natural populations of various beneficial insects. Now environmental pollution has become a global problem, and due to the negative effect of chemical control, we must focus on new methods to control plant diseases, and the best of them is to use biological control method; this method includes the use of various beneficial microorganism having the potential to control plant diseases. Viruses that infect fungi are called as mycoviruses, and some of them could confer hypovirulence and thus have the capacity to control fungal diseases. Sclerotinia sclerotiorum, a widespread ascomycete fungus, can attack more than 450 plant species and subspecies. It causes stem rot on rapeseed and leads to substantial economic loss each year. Previously, several hypovirulence-associated mycoviruses have been identified from S. sclerotiorum, suggesting that this fungus could host various mycoviruses. Keywords: Biological control, Hypovirulence, Mycovirus, Sclerotinia sclerotiorum, RNA-seq, virus transmission

Pediatric evaluations for deep learning CT denoising.

Deep learning (DL) CT denoising models have the potential to improve image quality for lower radiation dose exams. These models are generally trained with large quantities of adult patient image data. However, CT, and increasingly DL denoising methods, are used in both adult and pediatric populations. Pediatric body habitus and size can differ significantly from adults and vary dramatically from newborns to adolescents. Ensuring that pediatric subgroups of different body sizes are not disadvantaged by DL methods requires evaluations capable of assessing performance in each subgroup. To assess DL CT denoising in pediatric and adult-sized patients, we built a framework of computer simulated image quality (IQ) control phantoms and evaluation methodology. The computer simulated IQ phantoms in the framework featured pediatric-sized versions of standard CatPhan 600 and MITA-LCD phantoms with a range of diameters matching the mean effective diameters of pediatric patients ranging from newborns to 18 years old. These phantoms were used in simulating CT images that were then inputs for a DL denoiser to evaluate performance in different sized patients. Adult CT test images were simulated using standard-sized phantoms scanned with adult scan protocols. Pediatric CT test images were simulated with pediatric-sized phantoms and adjusted pediatric protocols. The framework's evaluation methodology consisted of denoising both adult and pediatric test images then assessing changes in image quality, including noise, image sharpness, CT number accuracy, and low contrast detectability. To demonstrate the use of the framework, a REDCNN denoising model trained on adult patient images was evaluated. To validate that the DL model performance measured with the proposed pediatric IQ phantoms was representative of performance in more realistic patient anatomy, anthropomorphic pediatric XCAT phantoms of the same age range were also used to compare noise reduction performance. Using the proposed pediatric-sized IQ phantom framework, size differences between adult and pediatric-sized phantoms were observed to substantially influence the adult trained DL denoising model's performance. When applied to adult images, the DL model achieved a 60% reduction in noise standard deviation without substantial loss in sharpness in mid or high spatial frequencies. However, in smaller phantoms the denoising performance dropped due to different image noise textures resulting from the smaller field of view (FOV) between adult and pediatric protocols. In the validation study, noise reduction trends in the pediatric-sized IQ phantoms were found to be consistent with those found in anthropomorphic phantoms. We developed a framework of using pediatric-sized IQ phantoms for pediatric subgroup evaluation of DL denoising models. Using the framework, we found the performance of an adult trained DL denoiser did not generalize well in the smaller diameter phantoms corresponding to younger pediatric patient sizes. Our work suggests noise texture differences from FOV changes between adult and pediatric protocols can contribute to poor generalizability in DL denoising and that the proposed framework is an effective means to identify these performance disparities for a given model.

Exceptional sea ice loss leading to anomalously deep winter convection north of Svalbard in 2018

AbstractAn important question is will deep convection sites, where deep waters are ventilated and air-gas exchange into the deep ocean occurs, emerge in the Arctic Ocean with the warming climate. As sea ice retreats northward and as Arctic sea ice becomes younger and thinner, air-sea interactions are strengthening in the high-latitude oceans. This includes new and extreme deep convection events. We investigate the associated physical processes and examine impacts and implications. Focusing on a region near the Arctic gateway of Fram Strait, our study confirms a significant sea ice cover reduction north of Svalbard in 2018 compared to the past decade, shown in observations and several numerical studies. We conduct our study using the regional configuration Arctic and North Hemisphere Atlantic of the ocean/sea ice model NEMO, running at 1/12° resolution (ANHA12). Our numerical study shows that the open water condition during the winter of 2018 allows intense winter convection over the Yermak Plateau, as more oceanic heat is lost to the atmosphere without the insulating sea ice cover, causing the mixed layer depth to reach over 600 m. Anomalous wind prior to the deep convection event forces offshore sea ice movement and contributes to the reduced sea ice cover. The sea ice loss is also attributed to the excess heat brought by the Atlantic Water, which reaches its maximum in the preceding winter in Fram Strait. The deep convection event coincides with enhanced mesoscale eddy activity on the boundary of the Yermak Plateau, especially to the east. The resulting substantial heat loss to the atmosphere also leads to a heat content reduction integrated over the Yermak Plateau region. This event can be linked to the minimum southward sea ice volume flux through Fram Strait in 2018, which is a potential negative freshwater anomaly in the subpolar Atlantic.

HURRICANE KATRINA’S LASTING IMPACT ON YOUNGER AND OLDER ADULTS: THE ROLE OF RELIGIOSITY AND POSTTRAUMATIC GROWTH

Abstract In 2005, Hurricane Katrina devastated the U.S. Gulf Coast with catastrophic damage and substantial loss of life. In this study, we examined associations among psychosocial variables and mental health indicators in younger and older adults who lived in south Louisiana in August of 2005 when Katrina made landfall (M age = 51.7 years, SD = 13.03 years, age range: 32 to 78 years). All self-identified as African American / Black women. They were recruited through social media, flyers sent to churches and schools, and word of mouth referrals. On the first day of testing, participants completed sociodemographic, religiosity, and post-traumatic growth surveys and an adapted structured storm questionnaire (Cherry et al., 2011). On the second day of testing one week later, participants responded to open-ended questions on their Katrina experience, and they completed measures of post-traumatic stress disorder (PTSD) and depression. Correlation analyses revealed that age was inversely related to PTSD symptoms, which is compatible with an inoculation perspective on post-disaster psychological reactions. In addition, post-traumatic growth was positively correlated with religious beliefs and practices and religious coping, and negatively correlated with symptoms of PTSD and depression. Religious beliefs and practices were inversely correlated with PTSD symptoms and depression. Qualitative analyses of participants’ narrative responses indicated that some reflected on scripture and utilized prayer as a way to navigate their new lives in the years after Katrina. Implications of these data for understanding individual and community-level challenges in the years after exposure to devastating severe weather events are considered.

Sequential Model Predictive Control for Grid Connection in Offshore Wind Farms Based on Active Disturbance Rejection

In order to harness a greater share of wind energy resources, offshore wind energy projects are venturing into deep-sea locations. In this progression, the issue of grid integration control becomes increasingly challenging. Traditional Model Predictive Control (MPC) has been introduced in offshore wind energy grid integration control due to its merits, such as not requiring modulators, dispensing with decoupling, incorporating constraint handling, and facilitating online optimization. However, it heavily relies on a model and consequently experiences a substantial loss of control effectiveness in the face of system parameter variations. In light of this, this study presents an active-disturbance-rejection-based three-vector sequence model predictive control approach. This method effectively mitigates the influence caused by changes in system parameters, endowing the system with self-disturbance rejection capabilities and enhancing its fault recovery abilities. The method employs self-disturbance control to track voltage reference values and employs the concept of sequence control to eliminate weighting factors in the cost function. Furthermore, it employs three-vector control to achieve error-free operation. The simulation results confirmed that the proposed method effectively minimizes voltage and power transients. It demonstrated superior control effectiveness and shorter response times, enabling the system to rapidly restore to a stable operational state following disturbances.