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Predictive modeling of evapotranspiration using Long Short-Term Memory and explainable Artificial Intelligence
Full text linkEvapotranspiration (ET) modeling plays a vital role in water resource management, agriculture, and climate adaptation. Accurate ET prediction is essential for effective irrigation planning and crop management. However, traditional methods often struggle to capture the complex relationships between environmental factors, resulting in less reliable forecasts. To address this, we implemented and optimized the Long Short-Term Memory (LSTM) network model to predict ET with improved accuracy of 98.8%, achieving a Mean Squared Error (MSE) of 0.12. Our approach incorporates SHapley Additive exPlanations (SHAP) to enhance model interpretability, offering insights into how key factors like solar radiation, wind speed, air temperature, and relative humidity impact ET predictions. The results showed that solar radiation had the highest impact on ET, followed by wind speed and air temperature. This improved understanding of key factors can help farmers and water managers make better decisions about irrigation, ensuring efficient water use and supporting sustainable agriculture. This provides a reliable and interpretable solution for ET prediction, aiding smarter irrigation strategies, improving resource efficiency, and supporting sustainable agricultural practices
KDM6B Promotes the Development, Progression andMetastasis of Oesophageal Cancer throughDemethylation of Histones in the LDHA PromoterRegion
No full textBackground: Esophageal squamous cell carcinoma (ESCC) is a strongly metastatic and fatal cancer. Currently, the mechanisms
underlying the pathogenesis of ESCC are poorly understood. Lysine-specific demethylase 6B (KDM6B) plays a key role in the
occurrence and development of various human diseases, such as cancers, immune diseases and developmental diseases. Studies
have confirmed that KDM6B may exhibit both tumour-suppressive and oncogenic activities in different cancer types. However,
the expression and role of KDM6B in ESCC remain unclear.
Methods: KDM6B expression was analysed using The Cancer Genome Atlas (TCGA) database, and the correlation between
KDM6B mRNA expression and prognosis was analysed. The expression of KDM6B in Eca109 and TE11 ESCC cells and ESCC
tissues was evaluated using immunohistochemical (IHC) and Quantitative Real-time PCR (RT‒qPCR) analyses. In vitro assays
were further performed to reveal the functions and characterize the upstream and downstream regulation of KDM6B expression.
Results: KDM6B was overexpressed in stage T3/T4 as well as N2/N3 ESCC tissues relative to stage T1/T2 and N1/N2 ESCC
tissues, respectively, and this overexpression was linked to worse prognosis of ESCC. Inhibiting KDM6B expression significantly
impaired the proliferation and metastasis of ESCC cells. Lactate dehydrogenase isoform A (LDHA) plays a critical role in tumour
aerobic glycolysis. The expression of LDHA was inhibited in ESCC cells to assess its role in ESCC proliferation. In this study,
KDM6B knockdown suppressed not only LDHA expression but also ESCC cell proliferation.
Conclusions: Based on these results, we speculate that KDM6B might be a novel therapeutic target for ESCC
LINC00174 Accelerates the Progression of Non-Small Cell Lung Cancer via Modulating EP300/NFAT5 Axis
Full text linkBackground: How long non-coding RNA (lncRNA) functions in cancer biology has attracted extensive attention recently. Various lncRNAs interfere with the advancement of non-small cell lung cancer (NSCLC). This work focused on how lncRNA LINC00174 functions in NSCLC.
Methods: The analysis of LINC00174 expressions in NSCLC was performed with quantitative real-time PCR (qRT-PCR). The multiplication, migration, aggressiveness and apoptosis of NSCLC cells were evaluated by Cell Counting Kit-8 (CCK-8), Transwell assays and Flow cytometry. The binding relationship between LINC00174 and E1A-binding protein p300 (EP300) was verified by RNA immunoprecipitation experiment. The binding of EP300 to the promoter region of the nuclear factor of activated T cells 5 (NFAT5) was detected by dual luciferase reporter gene assay and immunocoprecipitation assay.
Results: The expression of LINC00174 was increased in NSCLC, which impaired the overall survival time in patients with NSCLC. Knocking down LINC00174 curbed the multiplication, migration and aggressiveness of cancer cells and promoted apoptosis. LINC00174 was directly combined with EP300. Knocking down LINC00174 inhibited the binding of EP300 and NFAT5 promoter region, thereby curbing NFAT5 transcription. In addition, NFAT5 overexpression facilitated cancer cell malignancy, which could be reversed by knockdown of LINC00174.
Conclusions: This study indicates that LINC00174 promotes NFAT5 transcription by recruiting the EP300 to NFAT5 promoter region, thereby accelerating the progression of NSCLC
Obesity Factors in Failure Analysis of Cemented TotalHip Replacement
Full text linkBackground: This article mainly analyzed the influence of obesity constitution on the failure of cemented total hip replacement.
Methods: By collecting body mass index (BMI) data of patients with hip joint and bone mineral density (BMD) of femur, the age,
gender and number of patients were statistically analyzed, and the influence of body weight on postoperative implant force was
analyzed by finite element method modeling analysis.
Results: Studies have found that obesity and BMI reaching overweight or obesity standards will aggravate the symptoms of hip
patients, and the effects will be different between different genders. The effects of body weight on hip replacement, fracture of
bone cement stem, sinking of prosthesis stem and loosening of bone cement-stem interface were analyzed in detail.
Conclusions: It was proved that BMI had a great correlation with postoperative failure. In addition, the effect of weight loss
drugs on postoperative rehabilitation immune system was discussed
High carbon sink goals in the regeneration of waterfront industrial heritage
Full text linkIn the context of high carbon sink targets, the regeneration of China’s waterfront industrial heritage faces both opportunities and challenges. This paper takes Hanggang Park as an example to study its transformation along the Grand Canal. In terms of planning strategy, the park redefines its functionality, including the reuse of construction equipment and multifunctional transformation of space, increasing green space and remediating polluted soil; in terms of transformation direction, the park is environmentally oriented, focusing on vegetation restoration, soil and water restoration and protection, using low-carbon materials for construction and restricting high-carbon emitting enterprises; and the government actively participates in the park by re-planning the site, incorporating top-level design, and managing the development and operation of the park. The successful transformation of Hangzhou Steel Park is a reference for other waterfront industrial heritage. In the future, we should continue to promote technological innovation, sustainable industrial planning, and strengthen public participation and financial investment, so as to realise a win-win situation for both environmental protection and urban renewal, and help achieve the goal of carbon sinks
Synergizing climate action: Integrating renewable energy, and biodiversity conservation for sustainable development
Full text linkCoordinated actions to protect biodiversity, incorporate renewable energy, and implement climate action are needed for sustainable development to be achieved in the context of global challenges like climate change, ecosystem destruction, and resource depletion. Climate action seeks to reduce the negative impact and strengthen the adaptive capacity of natural and human society. Climate action includes both adaptation and mitigation strategies. The transition to renewable power sources is of utmost importance to climate action because it helps to slow environmental degradation, curtail fossil fuel dependence, and significantly diminish greenhouse gas emissions. The adoption of renewable energy, such as solar, wind, and hydropower, is more environmentally friendly than conventional energy sources, but it may also pose potential risks towards biodiversity, so measures should be taken in planning to avoid negative environmental impacts. It is crucial to protect biodiversity around the world because it plays an important role in the delivery of ecosystem services such as soil fertility, pollination, water purification, and the sequestration of carbon that are vital to people’s existence. In addition, strong ecosystems reduce the severity of climate change impacts, such as storms, droughts, and flooding. However, there may be trade-offs when striving for the increase of renewable energy and biodiversity conservation. Renewable energy development should always be complemented with biodiversity protection. This approach preserves the environmentally delicate ecosystems that are crucial to achieving climate action targets. The combination of climate action, renewable energy, and the need for biodiversity makes it possible to reap many benefits. These include stronger ecosystems and better human health, as well as economic growth and job creation. One example of such a nature-based solution is agrovoltaics, which combines solar energy production and farming. Restoring ecosystems, like forests or wetlands, can also greatly enhance carbon sequestration, reduce global warming, and protect endangered wildlife. This strategy aligns with international initiatives such as the United Nations Sustainable Development Goals (UN SDGs), specifically SDGs 7, 13, and 15. It serves as a building block towards a more sustainable future. Despite the clear possibilities of synergy, there are still barriers that must be tackled. Policy fragmentation, resource competition, and lack of inter-sector cooperation are some of the challenges that inhibit effective integration. Therefore, equitable governance and the adoption of nature-based techniques are essential
Spectral analysis of the Lorenz attractor
Full text linkFor a long time, chaos was considered uncontrollable and unusable. However, over the past thirty years, researchers have formulated equations for certain chaotic phenomena, revealing a deterministic aspect to what initially seems random. The evolution of chaotic systems is characterized by strange attractors, which, despite their complex nature, do not allow precise long-term predictions of system behavior. The Lorenz attractor is the best-known example and was the first to be studied, though many other attractors with unusual shapes have since been discovered. The aim of this work is to perform a spectral analysis of the Lorenz attractor by examining the frequencies present in the time signals generated by the solutions of the Lorenz system of equations. To evaluate the frequency complexity of these signals, the discrete Fast Fourier Transform (FFT) is used to derive their frequency spectrum
The numerical investigation of the time-dependent Couette flow of dusty Casson fluid generated by parallel Riga plates
Full text linkThis research explores the impact of the relative magnetic effect on the Couette flow of dusty Casson fluid between two parallel Riga plates. The mathematical model is based on a set of partial differential equations that describe the behavior of the dusty Casson fluid in interaction with the Riga plate. To convert this system of equations to its dimensionless form, appropriate transformations are used, and to solve this system numerically, explicit finite difference methods are applied to it. A graphical representation has been presented by using MatLab software for a comprehensive understanding of the effect of various non-dimensional parameters such as pressure gradient parameter (α), Casson parameter (β), modified Hartmann number (Ha), fluid concentration parameter (R), particle mass parameter (G), Eckert number (Ec), Prandtl number (Pr), and temperature relaxation time parameter (L0) on the velocity distributions u (or up) and on the temperature distributions θ (or θp), including shear stress and Nusselt number for both clean and dust fluid particles. The impacts of these parameters on the above-mentioned distributions have been discussed with their physical significance, taking the variation of any one of those parameters and with fixed values of α =1, β = 2, Ha=1, R = 0.5, G = 0.5, Ec = 0.01, Pr = 0.71, and L0 =0.8. The results reveal significant effects of relative magnetic fields on both clean fluid and dust particle motion
Sustainable leadership with authority span on the development of the United Arab Emirates’ oil and gas sector
Full text linkThis study examines sustainable leadership and span of control in the United Arab Emirates (UAE)’s oil and gas industry. Sustainable leadership may boost strategic efficiency, creativity, and operational resilience in geopolitically complex and unstable environments. An optimum span of control permits close supervision without slowing decision-making, notably in its subsidiaries. Results show that sustainable leadership boosts employee engagement and innovation. The review paper shows that the UAE’s gas and oil business faces several obstacles due to political instability and global market fluctuations. The UAE must implement sustainable leadership practices to foster industrial innovation, development, and growth
Mathematical modeling of HIV/AIDS transmission dynamics: Mass rape and the use of post-exposure prophylaxis (PEP)
No full textThis study presents a deterministic mathematical model to investigate the transmission dynamics of HIV/AIDS, with a particular focus on mass rape as a significant driver of new infections and the mitigating effects of post-exposure prophylaxis (PEP) and antiretroviral (ARV) treatments. The model explicitly incorporates intensity of rape into the transmission framework and assesses the impact of PEP in reducing new HIV infections. Analytical results include the existence and uniqueness of positive solutions, equilibrium points, the basic reproduction number ( ), and global stability conditions for both disease-free and endemic equilibria. Numerical simulations are performed to support and illustrate the analytical findings. The results reveal a linear relationship between the incidences of rape and while showing an inverse relationship between PEP coverage and , indicating that timely and widespread PEP administration can significantly reduce HIV transmission, especially in regions affected by sexual violence. Furthermore, the study demonstrates that combined intervention strategies involving both PEP and ARV treatments produce synergistic effects, substantially suppressing HIV transmission. These findings emphasize the importance of integrated treatment strategies over isolated interventions. Despite the substantial impact of these interventions, the model suggests that the disease remains endemic under certain conditions. By explicitly integrating conflict-related factors, particularly mass rape and treatment disruption, this model provides a novel, evidence-based framework for informing policy in humanitarian emergencies. It enables global health actors to prioritize interventions and allocate limited resources more effectively