Structure Of Form Research Articles

Research on wind resistance principles and design of super high-rise buildings

Due to the high and flexible characteristics of super high-rise buildings, the structure is very sensitive to wind loads, and wind vibration effects and comfort are issues that cannot be ignored in the structural design of super high-rise buildings. The paper mainly introduces the problems in wind resistance design of super high-rise buildings. Including wind load values, wind vibration effects, and vibration control methods and applications. The result show that the wind induced vibration effect and comfort of the structure are often determined through wind tunnel tests. For super high-rise buildings with complex structural forms. There are two methods for controlling wind-induced vibration in high-rise buildings: Optimizing structural form through architectural methods; Take structural control measures. At the same time, with the cost of high-performance materials and engineering technologies, it is a challenge to find building materials and technologies that can meet wind resistance requirements while keeping costs in check. However, as computational technology continues to evolve, the wind-resistant design of tall buildings will benefit from more accurate wind-tunnel simulations and computational modelling, which will help to better predict and address wind-resistance challenges. Scientists and engineers will continue to research novel materials and structural designs to improve the wind resistance of tall buildings and reduce costs.

Floristic Composition and Phenological, Pattern of Vegetation in the North of Srinagar

The paper presents floristic and ecological study of three diverse habitats towards the north of Srinagar. 162 species of flowering plants are enumerated. Data concerning frequency and phenological pattern of the species found in these habitats reveal that short lived early flowering species are predominant in exposed habitats with loose soil structure and perennial forms in shady compact-soil habitats. Shading produces a lag in the phenological pattern of species. Late flowering species are mostly restricted under shaded tree canopy.

Numerical Simulation of Extreme Ice Loads on Complex Pile Legs of Offshore Substation Structures

The sea ice failure mode and ice force amplitude depend on the structural form at the point of interaction, but the impacts of ice load when interacting with marine engineering structures with additional attachments are not yet clear. This study conducts numerical simulations using the discrete element method to investigate the interaction between sea ice and cable pipes attached to offshore substation structures. Various operating conditions such as ice velocity, ice thickness, and ice attack angle are selected to simulate the interaction between sea ice and such structures, clarifying the variations in the sea ice failure mode and ice force amplitude. The results indicate that crushing failure mainly occurs when sea ice interacts with such structures, and the presence of cable pipes does not alter the sea ice failure mode at the legs of offshore substation structures. The preliminary action of sea ice with cable pipes effectively reduces the ice load on the structure, and the minimum ice force amplitude occurs at an ice attack angle of 90°, with the ice force amplitude increasing with the ice thickness but showing no clear correlation with the ice velocity. The findings of this study provide a reference for the ice-resistant design of offshore substation structures in cold regions.

A dilute-and-inject liquid-gas chromatography-mass spectrometry method for the analysis of sixteen polycyclic aromatic hydrocarbons in extra-virgin olive oil

BackgroundPolycyclic aromatic hydrocarbons (PAHs) represent a diverse group of organic compounds characterized by the fusion of two or more benzene rings arranged in various structural forms. Due to their harmful effects on human health, it is essential to implement monitoring systems and preventive measures to regulate human exposure. Given the affinity of PAHs for lipids, extensive research has been focused on their presence in vegetable oils. This study aimed to develop an on-line liquid-gas chromatography (LC-GC) method (using tandem mass spectrometry) with minimized solvent consumption for the determination of 16 PAHs in extra-virgin olive oil (EVOO). ResultsA side-by-side comparison of the selected-ion-monitoring and the pseudo multiple-reaction-monitoring (p-MRM) acquisition modes was performed, in terms of specificity and detectability. The results obtained using the p-MRM mode were superior, and for this reason it was selected. The method was linear over the concentration range 1–200 μg kg−1 (except in five cases, over 2–200 and 5–200 μg kg−1 ranges). Accuracy (at the 2 μg kg−1 and 20 μg kg−1 concentration levels) was in the 86.9–109.3 % range, with an RSD <10 %. Intra-day and inter-day precision (at 2 μg kg−1 and 20 μg kg−1 concentration levels) were in the 1.2–9.7 % and 3.2–10.8 % ranges, respectively. For all the PAHs, a negative matrix effect was observed. Three out of sixteen PAHs were detected in three EVOOs (among ten samples), albeit at the low ppb level. Limits of quantification were satisfactory in relation to EU legislation on the presence of PAHs in vegetable oils. SignificanceA dilute-and-inject LC-GC-tandem mass spectrometry method is herein proposed fulfilling EU legislation requirements; sample preparation was very simple, inasmuch that it involved only a dilution step, thus avoiding extraction, clean-up, and thus a high consumption of organic solvents. In fact, considering both oil dilution and the LC mobile phase, less than 8 mL of solvents were used.

Exploration of Natural Element Form Optimization Algorithm using Spatial-Temporal Multi-Scale Alignment Graph Neural Network in Architectural Design Based on Morphological Theory

The construction industry has experienced important changes in recent years due to advancements in digital, artificial intelligence, and construction technologies, as well as the sector's on-going development and the advancement of science and technology. The creative growth of building industry, creative creation of architectural forms are partially supported technically by sophisticated parametric design apparatuses, the potent computing benefits of computer technology. In this manuscript, Exploration of Natural Element Form Optimization Algorithm using Spatial-Temporal Multi-Scale Alignment Graph Neural Network in Architectural Design Based on Morphological Theory (ENEF-OA-ADMT) is proposed. The STMSA-GNN and the Chaotic Coyote Algorithm (CCA) are two tools used by the proposed ENEF-OA-ADMT approach to improve architectural design based on morphological theory. The ST-MSA GNN's ability to capture intricate interactions and dependencies between several components in both space and time allows it to perform a comprehensive study of the morphological aspects of architectural designs. This graph neural network's integration of spatial and temporal dimensions enables a deeper understanding of how the architectural structural form design changes over time. The CCA optimized the ST-MSA-GNN to enhance the architectural structural form design. The proposed ENEF-OA-ADMT methodology skill fully combines these methodologies, creating a strong framework that allows architects and designers to work together to explore, refine, and create architectural structural design forms. The framework provided serves as a spur for further research, encouraging a more complete integration of technology and environment in the architectural domain. The effectiveness of proposed method is executed in python, evaluated through performance metrics encompassing accuracy, precision, specificity, Recall, computational time, F1 score, population diversification, randomness. Proposed ENEF-OA-ADMT method 34.56%, 28.63% and 21.89% higher accuracy, 34.97%, 32.13% and 21.89% higher precision and 34.68%, 20.84% and 29.76% higher randomness when compared with the existing methods such as Study of Morphological Design of Architecture from Geometric Logic Perspective (SOT-MDA-GLP), learning deep morphological networks by neural architecture search (LD-MN-NAS) and identifying degrees of deprivation from space utilizing deep learning with morphological spatial analysis of deprived urban areas (IDDS-DLMSA-DUA) respectively.

Role of institutions in public management: developing case studies for divergent policy systems

Public policy management has an intractable nature, and the institutional complexity of governance further exacerbates its practice. Transnational learning cutting across countries and policy areas can contribute to this policy knowledge in dealing with multifarious issues in public management. Understanding the institutional mix in public management in various contexts enhances the existing comprehension of how the national pattern of public management works differently in different socio-economic, cultural, and political settings. The present research aims to study the institutional framework in the form of state structure (unitary or federal) and the nature of executive government (majoritarian or consensual) in delineating the influence of institutions on public management processes in divergent policy systems. The paper undertakes four in-depth country case studies and the public management reforms as a response to institutional pressure are examined using the 4 M strategy–Maintain (holding on to existing administrative structures and processes), Modernize (keeping service delivery and regulation up to date), Marketize (efficiency and user-responsive public management), and Minimize (reducing state-led regulation). The case studies highlight the differences in the broad direction and energy of implementation that characterize a particular policy style. The results of the study indicate that even though the institutional dimensions are not present in strict polarization, the impact of the institutional mix is evident in the dominant strategies of public management reforms adopted at the national level.

Anti-oppression pedagogy in health professions: a scoping review.

Health professional learners are increasingly called to learn about health inequity to reduce inequities and improve patient care and health outcomes. Anti-oppression pedagogy (AOP) addresses the need for health professional learners to understand multiple health inequities and the structures and systems that produce inequities. However, the inclusion of AOP in health professions education varies and there is a lack of clarity in its conceptualization and integration. A scoping review was conducted to address this gap and to understand how AOP is conceptualized and integrated in health professions education. Thirty-six articles met the inclusion criteria. The articles demonstrated that AOP is not commonly utilized terminology within health professions education. When AOP is integrated, it is not consistently conceptualized but is generally viewed as a broad concept that focuses on antiracism; decoloniality; intersectionality; and supporting learners to understand, critically reflect on, and act against structural and systemic forms of oppressions. In addition, there is variation in the integration of AOP in health professions education with the most common methods consisting of discussions, cases, reflection, learning through lived experiences, and the incorporation of humanities within a longitudinal curriculum. The results of this scoping review highlight the need for health professions education to develop one clear concept that educators use when teaching about anti-oppression, which may reduce working in silos and allow educators to better collaborate with each other in advancing this work. In addition, this review suggests that health professional programs should consider incorporating AOP in curricula with a broad and longitudinal approach utilizing the common methods of delivery. To better support programs in including AOP in curricula, further research is required to emphasize the benefits, provide clarity on its conceptualization, and determine the most effective methods of integration.

Photodegradation of indomethacin and naproxen contained within commercial products for skin – RAP

Patient can be exposed to the photodegradation products of a drug after skin application of topical formulations. NSAIDs, with analgesic and anti-inflammatory properties, are known for the potential photoinstability, and are applied often in the form of creams, gels or liquids, commonly used among athletes, elderly people, geriatric patients and patients treated with multidrug therapies. Susceptibility to photodegradation hazard of those group arises the need for development of a new approach, with the ability to evaluate the patient safety.We planned to use a rapid assessment procedure (RAP) of safety by testing the photostability of popular skin medicinal products. This method, proposed many years ago by WHO, is now reintroduced to analytical applications in industry, when emergency drugs (e.g. for Covid) are implemented to the market in accelerated procedures. In the health care system, qualitative evaluation of drugs is extremely valuable, therefore we have planned to identify photodegradation using the FTIR method - infrared spectroscopy and DSC - differential scanning calorimetry, whilst the risk of formation of genotoxic products using the Ames test. We have successfully demonstrated that changes in the chemical structure and physical form of both pure APIs and drug products containing the API be assessed in a short time. Another advantage of our work is the combination of the developed results from FTIR/NIR spectra with statistical analysis. As a result, full and quick qualitative assessment of the effects of photoexposure of selected NSAIDs is performed, fortunately showing no mutagenicity. Due to the popularity of NSAIDs applied to the skin, a gel containing naproxen and spray with indomethacin were selected for testing. The analysis carried out for various formulations of both preparations allows us to demonstrate the universality of the applied RAP methods in assessing the risk of hazard to the patient, thus we present research results that expand or widen the knowledge and assessment of risks related to the use of drugs on the skin.

Hydrodynamic performance and energy redistribution characteristics of wind–wave hybrid system based on different WEC microarrays

Wave energy converters (WECs) are often arranged in the form of microarrays to maximize the energy capture and synergistic effects in a wind–wave hybrid system. However, the hydrodynamic coupling in hybrid systems is complicated and tough to directly evaluate. Although there have been numerous studies on wind–wave hybrid systems, the influence of the structural form of the microarray on the interactions and performance of WECs has not yet been thoroughly investigated. Hence, the hydrodynamic coupled modelling of a hybrid system considering different WECs microarrays was developed. Based on this system, the relationship between the microarray arrangement and hydrodynamic performance of the hybrid system was studied, coupled with the energy redistribution characteristics of the microarray. The results show that the gain of WECs microarray to the floating offshore wind turbine in pitch mode decreases with increasing wave direction. Further, Upstream WECs alter the wave field experienced by downstream ones through radiation and diffraction waves, thereby affecting the energy capture of downstream WECs. This study presents insights into the effects of WECs microarrays on hydrodynamic coupling and energy redistribution characteristics in hybrid systems, which will help guide the design of WEC layout in wind–wave hybrid systems.

Glycan synthesis: An update

Carbohydrate synthesis presents several challenges due to the intricate nature of molecules and their complex structures. Since certain pathogens are difficult to culture in the laboratory under some circumstances, and the isolation of glycans in pure structural forms is an arduous undertaking, the medicinal chemistry approach offers a fascinating and attractive option. The efforts being made to develop an automated system for oligosaccharide synthesis are expected to produce immense effects and revolutionize the understanding of the role of carbohydrates in biological systems. Glycovaccines aid in saving millions of lives around the world annually by protecting children and adults from bacterial infections. These vaccines further expand the therapeutic armamentarium against several microbial infectious diseases. This review highlights the different clinical applications of glycan and the progress made in their synthetic process.

Investigation on bearing resistance of thin-walled circular steel tube subjected to eccentric loading

In the engineering structures using circular steel tube (CST), the eccentric loading of CST members often occurs due to installation error and structural form. Existing research mainly focuses on the bearing resistance of circular steel pipes under the condition of eccentricity at one end. In practical application, both ends of CST members also may be eccentric. And with the increase in eccentricity, material yielding may occur prior to flexural buckling. So far, it’s lack of reports about the mechanical behavior of CST members subjected to eccentric loading at both ends and the boundary between material yielding and flexural buckling. This paper presents experimental, numerical and theoretical studies on bearing resistance of thin-walled circular steel tube with slenderness ratio of 30, 40 and 50, subjected to eccentric loading at one end and both ends, respectively. The study reveals a significant discrepancy in the prediction of bearing resistance for circular tubes subjected to eccentric loading at both ends according to existing design codes. Considering the synthesis of bending moment and deflection caused by eccentric loading at both ends, the calculation method of the bearing resistance based on flexural buckling of CST is established, which enhances the prediction accuracy of test verification. In addition, a theoretical boundary between the two failure modes appearing in CST members under eccentric loading at one and both end(s) - flexural buckling and reaching the material yielding strength - was established as dominated by the slenderness ratio and loading eccentricity.

Inclusion of Hall and Ion slip consequences on inclined magnetized cross hybrid nanofluid over a heated porous cone: Spectral relaxation scheme

The cone geometry has a great significant for heat transmission in many industrial processes due to its ability to induce turbulence, enable directional flow, promote uniform temperature distribution, and offer versatility in applications. The current study aims to investigate the heat transport process of an inclined magnetized cross hybrid nanofluid over a heated porous cone under the influence of Hall and Ion slip consequences. Additionally, porous medium the flow is past under the effect of inclined uniform magnetic field and porosity of the medium is used to enhance heat transfer. The framed set of governing equations took the form of dimension free structure through appropriate transformations and then finally solved by an effective spectral relaxation method. Thermal impacts and heat transport mechanism associated with the hybrid flow is seen through different values of emerging parameters. Heat transport is seen higher with higher radiation parameters, as radiation and rising temperature are similar. Augmented values of Fr causes pressure drop in fluids which reduces the fluid motion and brings depreciation in velocity field. Eckert number also boosts the temperature of the fluid stirring via a porous rotating cone.

Damage detection of jacket platforms through improved stacked autoencoder and softmax classifier

The jacket platform is a common structural form for offshore operations, and its health status determines the safety of the marine development process. In addressing the issue of damage detection in jacket platforms, a damage detection and prediction model based on stacked autoencoder (SAE) and softmax classifier is proposed. The model first constructs a SAE model using a layer-wise greedy training strategy to extract features from input signals. Subsequently, the extracted features are input into the softmax classifier for detecting damage types in the jacket platform. The model also utilizes a risk coefficient to forecast potential faults on the jacket platform. Experimental results on the jacket platform model demonstrate that the proposed method achieves an overall accuracy of 96.7% in damage detection in both isolated noise and marine environments, which is an improvement of approximately 5% compared to the autoencoder (AE) model. Additionally, in the damage prediction experiments, the model achieves a precision of 98.7% and a recall of 77.5% for potential damage.

Structural form and parameter optimization of manipulator grasping fragile workpieces to improve the impact characteristics based on the signal-to-noise ratio

The contact impact stress (CIS) between a manipulator finger and a fragile workpiece has a significant effect on clamping stability. The CIS is affected by various factors, for example, the structural form and parameters of the manipulator finger. In this paper, an optimization method combining Taguchi’s method with signal-to-noise ratio (SNR) theory is proposed to reduce the CIS by optimizing the structural form and parameters of the fingers of an internally supported manipulator. The process consists of three stages. In the first stage, finite element models are built using SolidWorks, HyperMesh, and LS-DYNA software to simulate the CIS of the manipulator when gripping fragile workpieces. In the second stage, the SNR theory is applied to evaluate the effect of CIS and its fluctuations on CIS by treating the CIS and its fluctuations as signals, and changes in the structural forms and parameters of the fingers as noise. In the third stage, the optimal combination corresponding to the maximum SNR is obtained, and the degree of influence and significance level of each factor on the impact force was obtained by calculating the SNR response and variance. The simulation results indicate that the optimized structural parameters reduce the CIS by 26.85% compared to the original design. The experimental results verify the correctness of the simulation results and the effectiveness of the proposed method in reducing CIS.

Limited miscibility in hydrated DPPC – Lyso-PPC systems

Hydrated dipalmitoylphosphatidylcholine (DPPC) and lyso-palmitoylphosphatidylcholine (Lyso-PPC, abbreviated as LPC) mixtures form vesicles composed from periodically or randomly arranged layers and micelle-like nanoparticles, as revealed by a wide range of thermodynamical, structural, and morphological characterization methods. Based on five different experimental methods, we have reconstructed the phase diagram of the system. The micelle-like objects are strongly anisotropic and are identified as bicelles. Even a small amount of LPC induces drastic changes in the thermotropic phase behaviour of DPPC. Here, an interdigitated gel (LβI) structure, coexisting with the other gel phases, forms at moderate LPC concentration. Bicelles and LβI structured vesicles appear in the equimolar LPC ratio range (0.4 ≤ XLPC ≤ 0.6). Two complex phase transition regimes are detectable. Between 36–40 °C, bicelles are pre-melted while domains of LβI structure are “crystallized” through local endothermic and exothermic transitions, respectively. Then, around 42 °C the chains of both the LβI and bicelles melt completely. Above the equimolar LPC ratio range (XLPC > 0.6) the chain melting in the LβI structure vanishes, while this transition still exists in the chain region of bicelles. This wealth of structural forms, due to the weak first order transition characteristics, is highly sensitive for perturbations and interactions induced by e.g. the presence of membrane proteins.

Colorism and Stereotypes in Asia: A Post colonial Reading and Evaluation

Asia with its vibrant nature of different culture and celebrations, somehow portrays norms and ideas that would consciously become an integral part of cultural and societal values. As such, color consciousness is co-related in the very nature of Asia as a whole in numerous forms; of which allows into identity, beauty and social and cultural values. This study is investigating and evaluating the idea of colorism that of which has been in the deep-rooted ideology of each part of Asia from the landscape of history itself; colonial structure to class, identity, beauty and representations. The idea is constructed in various forms of class structure, thus formulated into beauty standards and stereotypes in Asian culture. Through postcolonial reading of theoretical practice in cultural artifacts makes it possible to examine this issue efficiently.

Highly Dispersive Optical Solitons with Quadratic-Cubic Nonlinear form of Self-Phase Modulation by Sardar Sub-Equation Approach

The highly dispersive optical solitons with a quadratic-cubic form of self-phase modulation structure are derived. The governing model was reduced to an ordinary differential equation by the traveling wave hypothesis. Subsequently, the Sardar sub-equation method and its modified version are used to locate the soliton solutions. A full spectrum of optical solitons is thus obtained.

A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints

Abstract We present an original approach for measuring infections as a latent variable and making use of serological and expert surveys to provide ground truth identification during the early pandemic period. Compared to existing approaches, our model relies more on empirical information than strong structural forms, permitting inference with relatively few assumptions of cumulative infections. We also incorporate a range of political, economic, and social covariates to richly parameterize the relationship between epidemic spread and human behaviour. To show the utility of the model, we provide robust estimates of total infections that account for biases in COVID-19 cases and tests counts in the U.S. from March to July of 2020, a period of time when accurate data about the nature of the SARS-CoV-2 virus was of limited availability. In addition, we can show how sociopolitical factors like the Black Lives Matter protests and support for President Donald Trump are associated with the spread of the virus via changes in fear of the virus and cell phone mobility. A reproducible version of this article is available as an Rmarkdown file at https://github.com/CoronaNetDataScience/covid_model.

Analysis and Design of Cable Stayed Bridge

Cable Stayed Bridges are one of the most fascinating icons in the field of Engineering and are commonly used bridge typologies for spans between 200m and 1100mm due to their structural efficiency, cost and aesthetics. The basic structural form of a cable-stayed bridge is a series of overlapping triangles comprising the pylon, the cables, and the girder. All these members are under predominantly axial forces, with the cables under tension and both the pylon and the girder under compression. Axially loaded members are generally more efficient than flexural members. This contributes to the economy of the bridge. In this project, we have made an attempt to analyses a 200m span Cable Stayed Bridge using the STAAD Pro software based on the design parameters which includes the bending moment, shear force and displacement, Reaction Graph, Total Quantity Materail, etc. Key Words: Cable Stayed Bridges, Unknown Load Factor Optimization, Construction Stage Analysis, Influence Line Diagram (ILD), SFD BMD Diagram, Analysis Design.

The Structure-Conduct-Performance of Indonesian Coffee Processing Industry

Coffee industry in Indonesia in the short- and long terms has the potential to boost the country’s economy which can be seen in the form of structure, behavior, and performance. Market forces affect the market structure in an industry. The formation of the market structure affects a company’s behavior which further affects the performance of the company. The data used in this study is sourced from the Central Statistics Agency. The study measures the relationship of structure and other factors that affect the performance of the Indonesian coffee industry using a multiple regression model. Our findings show that the coffee processing industry in Indonesia has an oligopoly structure with a fairly high market barrier. The market behavior of the coffee processing industry is seen in terms of price strategy, products, and promotion. The performance of the coffee processing industry in Indonesia has an increasing trend every year. A positive trend results in good performance for the company so that it will increase the level of profit. Based on the regression results, the Minimum Cost Price which represents the performance of the Indonesian coffee processing industry is significantly influenced by the Efficiency Value. CR4 value and Labor Productivity have no real effect on the Minimum Price Cost. The pattern of the relationship between Efficiency and Labor Productivity to the Minimum Price Cost has a positive effect while CR4 has a negative effect. Keywords: structure, conduct, performance, coffee processing industry