In this paper, we continue studying and discussing conditions of the supper-potential of measures to show the existence of continuous solution to the complex Monge-Ampère equation (ω+ddcu)n=μ on ...compact Kähler manifolds.
In this paper, we study and discuss existence and continuity of solution to complex Hessian equation
(
χ
+
d
d
c
·
)
k
∧
ω
n
-
k
=
c
f
ω
n
on Hermitian manifold
(
X
,
ω
)
, where
χ
is some smooth ...real
(
1
,
1
)
-
form in
X
and Hermitian form
ω
satisfies that at every given point on
X
, there exist a local chart
Ω
and a smooth real-valued function
G
such that
e
G
ω
is a Kähler form on
Ω
.
Landslides lead to widespread devastation and significant loss of life in mountainous regions around the world. Susceptibility assessments can provide critical data to help decision‐makers, for ...example, local authorities and other organizations, mitigating the landslide risk, although the accuracy of existing studies needs to be improved. This study aims to assess landslide susceptibility in the Thua Thien Hue province of Vietnam using deep neural networks (DNNs) and swarm‐based optimization algorithms, namely Adam, stochastic gradient descent (SGD), Artificial Rabbits Optimization (ARO), Tuna Swarm Optimization (TSO), Sand Cat Swarm Optimization (SCSO), Honey Badger Algorithm (HBA), Marine Predators Algorithm (MPA) and Particle Swarm Optimization (PSO). The locations of 945 landslides occurring between 2012 and 2022, along with 14 conditioning factors, were used as input data to build the DNN and DNN‐hybrid models. The performance of the proposed models was evaluated using the statistical indices receiver operating characteristic curve, area under the curve (AUC), root mean square error, mean absolute error (MAE), R2 and accuracy. All proposed models had a high accuracy of prediction. The DNN‐MPA model had the highest AUC value (0.95), followed by DNN‐HBA (0.95), DNN‐ARO (0.95), DNN‐Adam (0.95), DNN‐SGD (0.95), DNN‐TSO (0.93), DNN‐PSO (0.9) and finally DNN‐SCSO (0.83). High‐precision models have identified that the majority of the western region of Thua Thien Hue province is very highly susceptible to landslides. Models like the aforementioned ones can support decision‐makers in updating large‐scale sustainable land‐use strategies.
Hybrid machine learning algorithms were applied for landslide susceptibility modelling.
Flood risk is a significant challenge for sustainable spatial planning, particularly concerning climate change and urbanization. Phrasing suitable land planning strategies requires assessing future ...flood risk and predicting the impact of urban sprawl. This study aims to develop an innovative approach combining land use change and hydraulic models to explore future urban flood risk, aiming to reduce it under different vulnerability and exposure scenarios. SPOT-3 and Sentinel-2 images were processed and classified to create land cover maps for 1995 and 2019, and these were used to predict the 2040 land cover using the Land Change Modeler Module of Terrset. Flood risk was computed by combining hazard, exposure, and vulnerability using hydrodynamic modeling and the Analytic Hierarchy Process method. We have compared flood risk in 1995, 2019, and 2040. Although flood risk increases with urbanization, population density, and the number of hospitals in the flood plain, especially in the coastal region, the area exposed to high and very high risks decreases due to a reduction in poverty rate. This study can provide a theoretical framework supporting climate change related to risk assessment in other metropolitan regions. Methodologically, it underlines the importance of using satellite imagery and the continuity of data in the planning-related decision-making process.
In this paper, we prove the existence and investigate the Hölder continuity of solutions to the Dirichlet problem of the complex Monge-Ampère type equation on a bounded strictly pseudoconvex domain Ω ...in Cn.
In the paper, we prove the existence of weak solutions of the complex
m
-Hessian type equation for arbitrary nonnegative Radon measures on an open subset
Ω
of
C
n
.
Patients with coronavirus disease 2019 (COVID-19) usually suffer from post-acute sequelae of coronavirus disease 2019 (PASC). Pulmonary fibrosis (PF) has the most significant long-term impact on ...patients’ respiratory health, called post-COVID-19 pulmonary fibrosis (PC19-PF). PC19- PF can be caused by acute respiratory distress syndrome (ARDS) or pneumonia due to COVID-19. The risk factors of PC19-PF, such as older age, chronic comorbidities, the use of mechanical ventilation during the acute phase, and female sex, should be considered. Individuals with COVID-19 pneumonia symptoms lasting at least 12 weeks following diagnosis, including cough, dyspnea, exertional dyspnea, and poor saturation, accounted for nearly all disease occurrences. PC19-PF is characterized by persistent fibrotic tomographic sequelae associated with functional impairment throughout follow-up. Thus, clinical examination, radiology, pulmonary function tests, and pathological findings should be done to diagnose PC19-PF patients. PFT indicated persistent limitations in diffusion capacity and restrictive physiology, despite the absence of previous testing and inconsistency in the timeliness of assessments following acute illness. It has been hypothesized that PC19-PF patients may benefit from idiopathic pulmonary fibrosis treatment to prevent continued infection-related disorders, enhance the healing phase, and manage fibroproliferative processes. Immunomodulatory agents might reduce inflammation and the length of mechanical ventilation during the acute phase of COVID-19 infection, and the risk of the PC19-PF stage. Pulmonary rehabilitation, incorporating exercise training, physical education, and behavioral modifications, can improve the physical and psychological conditions of patients with PC19-PF.
In the paper, we prove the existence of weak solutions of the complex
m
-Hessian type equation on an open subset
Ω
of
C
n
. In the end of the paper, we give a result related to the complex 1-Hessian ...type equation in the unit ball of
C
2
.
It is not clear what the most effective implementation strategies are for supporting the enactment and sustainment of depression care services in primary care settings. This type-II Hybrid ...Implementation-Effectiveness study will compare the effectiveness of three system-level strategies for implementing depression care programs at 36 community health stations (CHSs) across 2 provinces in Vietnam.
In this cluster-randomized controlled trial, CHSs will be randomly assigned to one of three implementation conditions: (1) Usual Implementation (UI), which consists of training workshops and toolkits; (2) Enhanced Supervision (ES), which includes UI combined with bi-weekly/monthly supervision; and (3) Community-Engaged Learning Collaborative (CELC), which includes all components of ES, combined with bi-monthly province-wide learning collaborative meetings, during which cross-site learning and continuous quality improvement (QI) strategies are implemented to achieve better implementation outcomes. The primary outcome will be measured based on the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation quality, and Maintenance) using indicators on implementation, provider, and client factors. The secondary outcome examines factors associated with barriers and facilitators of quality implementation, while the tertiary outcome evaluates the incremental cost-effectiveness ratio of services provided in the ES and CELC conditions, relative to UI condition for depression care. A total of 1,296 clients receiving depression care at CHSs will be surveyed at baseline and 6-month follow-up to assess mental health and psychosocial outcomes (e.g., depression and anxiety severity, health function, quality of life). Additionally, 180 CHS staff and 180 non-CHS staff will complete pre- and post-training evaluation and surveys at baseline, 6, 12, and 24 months.
We hypothesize that the additional implementation supports will make mental health service implementation superior in the ES and CELC arms compared to the UI arm. The findings of this project could identify effective implementation models and assess the added value of specific QI strategies for implementing depression care in primary care settings in Vietnam, with implications and recommendations for other low- and middle-income settings. More importantly, this study will provide evidence for key stakeholders and policymakers to consider policies that disseminate, scale up, and advance quality mental health care in Vietnam.
NCT04491045 on Clinicaltrials.gov. Registered July 29, 2020.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Post-vaccination adverse reactions have been reported with varying symptoms and severity owing to research and production time pressures during the coronavirus disease 2019 (COVID-19) pandemic. In ...this article, we report a rare case of Guillain–Barré syndrome (GBS) in a patient with COVID-19 with acute respiratory distress syndrome (ARDS) after receiving Sinopharm's Vero Cell vaccine (China). The patient who was initially negative for COVID-19 was diagnosed with GBS based on paralysis that developed from the lower extremities to the upper extremities, as confirmed by cytoalbuminologic dissociation in the cerebrospinal fluid. The patient's condition worsened with ARDS caused by COVID-19 infection during the hospital stay, and SpO
2
decreased to 83% while receiving oxygen through a non-rebreather mask (15 l/min) on day 6. The patient was treated with standard therapy for severe COVID-19, invasive mechanical ventilation, and five cycles of therapeutic plasma exchange (TPE) with 5% albumin replacement on day 11 due to severe progression. The patient was weaned off the ventilator on day 28, discharged on day 42, and was completely healthy after 6 months without any neurological sequelae until now. Our report showed the potential of TPE for GBS treatment in critically ill patients with COVID-19 after COVID-19 vaccination.
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