Terms Of Values Research Articles

Forecasting Sugar Price Fluctuation In Malaysia Using Geometric Brownian Motion Modelling

A mathematical model known as Geometric Brownian motion has proven to be an effective tool that can be deployed to forecast the price of goods in the future due to the presence of random terms, which represent the stochastic or random fluctuation of prices over a given period of time. The success of this model revolves around the estimation of its governing parameters. To efficiently predict the price of goods, using the Geometric Brownian Motion model (GBM), one needs to determine the value of returns and use the calculated returns to estimate the value of drift as well as volatility. This research used the value of volatility and drift terms obtained from real data of sugar in the months under review. The method has shown to be very reliable in capturing the intelligent trend in the price of sugar in Malaysia. The model was able to stimulate the pattern of the predicted price that shares a great resemblance to the actual price of sugar. The result obtained is very encouraging and places this study with a good note now that the country is just returning to normalcy from the pandemic that has crippled the economies of most developing nations in the world. We used the model to predict the price of sugar for a period of 20 months and the result of our prediction as well as the graph of the predicted prices confirmed the practicability of the model. The obtained values of MAPE and MSE, two of the popular performance metrics, also justified the effectiveness of the GBM in capturing the trend in the data. This model can be classified as a good model that can be deployed to forecast the price of goods that exhibit high volatility.

A Derivative-Incorporated Adaptive Gradient Method for Federated Learning

As a new machine learning technique, federated learning has received more attention in recent years, which enables decentralized model training across data silos or edge intelligent devices in the Internet of Things without exchanging local raw data. All kinds of algorithms are proposed to solve the challenges in federated learning. However, most of these methods are based on stochastic gradient descent, which undergoes slow convergence and unstable performance during the training stage. In this paper, we propose a differential adaptive federated optimization method, which incorporates an adaptive learning rate and the gradient difference into the iteration rule of the global model. We further adopt the first-order moment estimation to compute the approximate value of the differential term so as to avoid amplifying the random noise from the input data sample. The theoretical convergence guarantee is established for our proposed method in a stochastic non-convex setting under full client participation and partial client participation cases. Experiments for the image classification task are performed on two standard datasets by training a neural network model, and experiment results on different baselines demonstrate the effectiveness of our proposed method.

Analysis of a numerical technique for a singularly perturbed parabolic convection–diffusion interface problem with time delay

In this article, we are interested in the numerical analysis of a singularly perturbed parabolic differential equation with time delay. The source term of the considered problem has discontinuities in the spatial variable along the interface , 0<d<1, and the diffusion coefficient is a small positive perturbation parameter. The problem's solution exhibits interior and boundary layers as the perturbation parameter approaches zero, which makes the problem challenging to establish the uniform convergence of any applied classical numerical techniques with respect to the perturbation parameter. The solution to the considered problem is decomposed into regular and singular components. Some appropriate a priori bounds on derivatives of these components have been given. The domain is discretized using Shishkin mesh in the spatial direction and uniform mesh in the time direction. On the mesh points which are not on the interface, the problem is discretized using a central-difference upwind scheme. Along the interface, the problem is discretized using an especial central-difference upwind scheme that uses the average value of the source term. The ε-uniform convergence analysis of the scheme is given using the decomposition of the solution. Some numerical experiments are conducted to corroborate the efficiency of the method.

Coastal wetland degradation and ecosystem service value change in the Yellow River Delta, China

The characteristics of changes in wetlands in different coastal areas vary, so it is necessary to select representative experimental areas to research wetland degradation, ecosystem service values (ESVs) and differences in changes among various wetland types in different ecological service function fields. The goal of this study is to better realize the spatiotemporal characteristics of wetland degradation and ESV in order to balance economic advancement and wetland ecological protection. The evolution of the wetland ESVs was analyzed by using the ESV equivalent correction technique and ecological contribution degree. The random forest (RF) classification model was utilized to extract wetland information in the Yellow River Delta (YRD) in four years (1990, 2000, 2010, and 2020). Thoroughly exploring the mechanism of impact and proposing reasonable suggestions based on a close combination of wetland changes and ecological services are conducive to the healthy development of global wetlands. The results demonstrated that the total area of wetlands expanded from 1459.5 km2 in 1990–1975.5 km2 in 2020, an increase of 28.5 %, with artificial wetlands increasing from 151.4 km2 to 1059.1 km2 and natural wetlands decreasing from 1308.1 km2 to 916.5 km2. The wetland ESV increased from 18.4 billion USD in 1990–28.6 billion USD in 2020. The transformation between types of natural wetlands tended to increase the ESV, while the transformation from natural wetlands to constructed wetlands reduced the ESV. The tidal flats and herbaceous wetlands have great value in terms of not only hydrological regulation but also gene diversity and climate regulation. The significant changes in various wetlands cause changes in different ecological service functions and promote changes in the ESV. Wetland protection, restoration, reconstruction, and rational utilization must be incorporated into urban land planning, and wetland parks and wetland protection zones should be established according to local conditions. This above research can provide typical examples and references for global wetland protection and sustainable development.

Phenological and pomological characterization of promising loquat (Eriobotrya japonica) cultivars suitable for the Mediterranean climate

This study was conducted during the 2017 and 2018 growing seasons to determine the yield performances, phenological and pomological characteristics of ten 21-year-old loquat cultivars grown under Mediterranean conditions at Dörtyol, Hatay, Turkey. The flowering of the cultivars was observed in detail and the earliest flowering was found in ‘Akko XIII’ and the latest in ‘Ottaviani’ cultivars. Among the tested cultivars, the highest yield was found in ‘Champion’ (168 kg tree-1, 387.36 g cm-2) whereas the earliest and latest ripening cultivars were found as ‘Akko XIII’ and ‘Lapta M’, respectively. The highest values in terms of fruit weight, seed weight and seed number were obtained from ‘Baduna 5’ variety as 50.60 g, 9.59 g and 4.50 fruits, respectively. In terms of fruit flesh/seed ratio, ‘Hafif Çukurgöbek’ (5.33) had the highest value, while ‘Lapta M’ (3.29) had the lowest. The highest total soluble solids, pH and acidity values were measured in ‘Hafif Çukurgöbek’ (13.70%), ‘Lapta B2’ (3.85) and ‘Lapta M’ (1.15), respectively. The cultivars used in the study were compared using the Weighted-Rankit Method according to their important characteristics and the cultivar ‘Hafif Cukurgöbek’ got the highest score. However, the results showed that most of the cultivars used in the experiment, except ‘Lapta M’, could be grown economically in the Mediterranean climate.

A Comprehensive Review on Millets: A Potential Source of Energy and Nutrients for Health

Millets, Cereals and grains, are essential for providing appropriate nutrients and have been shown to be beneficial effect for disorders of lifestyle. The society's knowledge of nutrition and health care research substantiates the potential of photochemicals, such as polyphenols and dietary fibers, on their health beneficial properties, so there is no need to search for newer sources of energy and other natural and nutritional material with the desired functional characteristics. It is a crucial staple food crop in India, especially for low-income families. Its value in terms of nutrition is widely known because to its high content of phenolic compounds (0.03%–3%), dietary fibre (18%), and calcium (0.38%).

Impact of fiscal policies and natural resources on ecological sustainability of BRICS region: Moderating role of green innovation and ecological governance

Due to the alarming rate of ecological erosion and deficits, worldwide economies are keen to investigate the factors that can assist in limiting the environmental challenges for future resource conservation and sustainability. However, scant attention has been observed in empirical studies to evaluate the effect of fiscal policy and natural resources on the ecological footprint (EF). This study examines the dynamic influence of fiscal policy, natural resources, stringent environmental policy, and green technologies on EF in the BRICS countries from 1990 to 2020. The study employed the cross-section autoregressive distributed lag (CS-ARDL) estimator in addressing the slope heterogeneity and cross-section dependency issues. The outcomes reveal that fiscal policy and natural resources rent instigate the EF significantly, while ecological policy stringency and green innovations substantially mitigate the EF. Moreover, green innovations inhibit the EF levels prominently if the economies are embodied with strict governance regulations. The moderating variable substantially impacts EF more than the other model variables. In addition, the significant negative value of the co-integrating term converges the model towards the long-run equilibrium in case of any disturbance. The short-run findings concurred with long-run estimations; however, they are smaller in magnitude. The overall study's findings recommend relevant policy suggestions to all stakeholders.

Effects of protuberant structure on coalescence-induced jumping of droplets on superhydrophobic surfaces

The coalescence-induced jumping of droplets on superhydrophobic surfaces is useful in engineering-related applications to enhance condensation-based heat transfer, self-cleaning, and anti-icing and, thus, has attracted extensive attention in research. Some researchers have claimed that superhydrophobic surfaces with protuberant structures can yield droplets with a higher jumping velocity. While the structure of the surface influences droplet dynamics, the concomitant energy transition also needs to be considered. The effects of the geometry on the mechanism of jumping and the energy transition need to be investigated. In this paper, an improved volume-of-fluid method is verified based on experiments and then applied to simulate the jumping behaviors of droplets on superhydrophobic surfaces with cuboid protuberant structures. The effects of repulsion caused by the contributions of the surface tension and the superhydrophobicity of the protuberance are crucial to enhancing the jumping of the droplets. The forces due to them provide a thrust oriented in the direction of jumping of the droplets to increase the value of the positive energy term, while reducing the area and duration of contact between the droplet and the substrate to reduce the negative dissipation term and enhance the efficiency of energy conversion. Surprisingly, an excessively tall structure leads to a sustainable increase in the velocity of jumping of the droplets under the effects of repulsion and the Laplace pressure after piercing the liquid bridge. The work here provides guidance to optimally combine a superhydrophobic substrate with special structures to enhance the jumping of droplets.

DETERMINATION OF LEAF AND FRUIT CHARACTERISTICS OF ALMOND VARIETIES OF FOREIGN ORIGIN CULTIVATED IN CAPPADOCIA REGION

Almond is a type of fruit that grows both economically and naturally in many regions of Turkey. In this study, leaf and fruit characteristics of 3 different almond varieties of foreign origin grown in Ürgüp district of Nevşehir province in the Cappadocia region in 2021 and 2022 were determined. Ferragnes variety with a value of 23.47 mm in terms of leaf width, Ferragnes variety with a value of 67.9 mm in leaf length, and Ferraduel variety with a value of 13.62 in terms of petiole length formed the highest values in the leaf characteristics examined. Considering the fruit data, it was determined that Ferragnes variety had the highest value in terms of fruit length with 40.62 mm, Ferragnes variety had the highest value in fruit width values with 23.99 mm, and Ferragnes variety had the highest value in terms of fruit weight with 6.24 g. When the kernel weight data were examined, the highest value was found in Ferragnes variety with 1.61 g, and when the kernel width and kernel length data were examined, the highest values were determined in Ferragnes variety with 14.55 mm and 27.70 mm, respectively. The results of the study are thought to be important in terms of shedding light on future studies, especially since limited studies have been carried out in this region.

Molecular subtypes of endometrial cancer: Implications for adjuvant treatment strategies.

When determining adjuvant treatment for endometrial cancer, the decision typically relies on factors such as cancer stage, histologic grade, subtype, and a few histopathologic markers. The Cancer Genome Atlas revealed molecular subtyping of endometrial cancer, which can provide more accurate prognostic information and guide personalized treatment plans. To summarize the expression and molecular basis of the main biomarkers of endometrial cancer. PubMed was searched from January 2000 to March 2023. Studies evaluating molecular subtypes of endometrial cancer and implications for adjuvant treatment strategies. Three authors independently performed a comprehensive literature search, collected and extracted data, and assessed the methodological quality of the included studies. We summarized the molecular subtyping of endometrial cancer, including mismatch repair deficient, high microsatellite instability, polymerase epsilon (POLE) exonuclease domain mutated, TP53 gene mutation, and non-specific molecular spectrum. We also summarized planned and ongoing clinical trials and common therapy methods in endometrial cancer. POLE mutated endometrial cancer consistently exhibits favorable patient outcomes, regardless of adjuvant therapy. Genomic similarities between p53 abnormality endometrial cancer and high-grade serous ovarian cancer suggested possible overlapping treatment strategies. High levels of immune checkpoint molecules, such as programmed cell death 1 and programmed cell death 1 ligand 1 can counterbalance mismatch repair deficient endometrial cancer immune phenotype. Hormonal treatment is an appealing option for high-risk non-specific molecular spectrum endometrial cancers, which are typically endometrioid and hormone receptor positive. Combining clinical and pathologic characteristics to guide treatment decisions for patients, including concurrent radiochemotherapy, chemotherapy, inhibitor therapy, endocrine therapy, and immunotherapy, might improve the management of endometrial cancer and provide more effective treatment options for patients. We have characterized the molecular subtypes of endometrial cancer and discuss their value in terms of a patient-tailored therapy in order to prevent significant under- or overtreatment.

The effect of different salting methods on the quality of salted barracuda fish (&lt;i&gt;Sphyraena barracuda&lt;/i&gt;) in Barru Regency

This study aimed to know the effect of salting methods with different concentrations on the quality and organoleptic value of salted barracuda fish (Sphyraena barracuda). This research was conducted from June to July 2020 at the Sumpang Binangae Fish Port, Mangempang Village, Barru Regency. The research method used was an experimental method with four treatments, namely treatment A (salting barracuda with 15% salt concentration), treatment B (salting barracuda with a dry method using 20% salt concentration), treatment C (salting barracuda with a wet method using 15% salt concentration), and treatment D (salting barracuda with a wet method using 20% salt concentration and soaked for six hours). Data analysis used the ANOVA test. The results showed that the highest average value of waer content in sample C was 28.16%. The highest average values of ash and salt content in sample B were 22.11% and 12.38%. The highest average ALT value in sample C was 1.1x104 colonies, while the highest average organoleptic value was in sample D 8.67. This study concludes that the salting of salted barracuda has a significant effect on water content, ash content, salt content, and ALT. The results of the ANOVA for the organoleptic value in terms of appearance, smell, texture, and taste had a significant effect while the organoleptic value of fungi had no significant affected.

The Reliability of Single-Step and Double-Step Quench and Partitioning Heat Treatments on an AISI 420A Low Carbon Martensitic Stainless Steel

The microstructural and mechanical effects of various single-step (SS) and double-step (DS) quench and partition (Q&P) heat treatments applied to an AISI 420A low carbon martensitic stainless steel (MSS) has been studied. The goal with this work is to reach a total elongation (E pct) of 12 pct and an ultimate tensile strength (UTS) above 1200/1300 MPa, but ultimately to achieve a superior strength-ductility balance in comparison to its traditional Quench and Temper (Q&T) counterpart. This is being done by retaining austenite within the steel’s martensitic matrix at room temperature (RT) using novel SS and conventional DS Q&P heat treatments. Considerable work has been done to optimize DS Q&P heat treatments, but little has been done to understand the effects of removing a subsequent heating cycle through SS Q&P heat treatments has on MSSs. With that being said, partitioning is performed at the same quench interruption temperature for the SS Q&P heat treatments, and reheated to a higher temperature for the DS Q&P heat treatments. Experimental investigations were carried out on 1 mm thick, sheet samples to increase the number of potential applications for this steel and heat treatment. The microstructure of different SS and DS Q&P heat treatments was investigated through X-ray diffraction (XRD) and transmission electron microscopy (TEM) while mechanical property investigations were carried out using tensile and fracture toughness testing. DS Q&P heat treated samples quenched to 130 °C and partitioned for industrially relevant times of 10 and 30 minutes featured the highest values in terms of total elongation, tensile strength and fracture toughness. The SS Q&P heat treatments, on the other hand, were able to achieve improved mechanical properties to its Q&T counterpart. Overall, this work opens up the possibility of increased MSS usage for reliable, thin-walled component production with improved properties through Q&P heat treatment methods. The best results achieved in this study are a UTS of 1585 MPa, E pct of 22 pct, and a fracture toughness of 77 kJ/m2. Their lower total elongation of 9.6 pct is balanced by high tensile strength of 1812 MPa, ensuring higher toughness compared to traditional Q&T samples.

Dynamical behavior analysis of the Van der Pol oscillator with sine nonlinearity subjected to non-sinusoidal periodic excitations by the bifurcation structures

The present work studies the dynamical behavior of the Van der Pol oscillator with sine nonlinearity subjected to the effects of non-sinusoidal excitations through the analysis of bifurcation structures. In this work, the classical Van der Pol oscillator is modified by replacing the linear term with the nonlinear term The idea is to see the impact of the strength of this function on the appearance of chaotic dynamics for small and large values of the nonlinear dissipation term ε. To do this, studies using numerical simulation and analogue simulation are proposed. Firstly, using nonlinear analysis tools, a similarity in the bifurcation sequences is observed despite a difference in the ranks at which the particular behaviours and bifurcation points are obtained. This study is confirmed by their respective maximum Lyapunov exponents. Secondly, a real implementation using microcontroller technology, motivated by the use of an artificial pacemaker, is carried out. For a more practical case, the excitation signal is generated by another microcontroller. The study shows a similarity with the results obtained numerically. Thirdly, in order to show that the model can be derived from mathematical modelling, an electronic simulation using OrCAD-Pspice software is also proposed. The results obtained are in qualitative agreement.

The effect of assessment procedures in the development of competences during initial teacher education: A systematic review

Competence assessment has been one of the most crucial aspects in initial teacher training in the context of the European Higher Education Area (EHEA). It has implied a change in teachers’ approaches to teaching and learning and is based on different assessment procedures for their training. In order to discover the effect of the assessment procedures applied to the training of competences in teachers, the present study examines research along these lines and in this context published between 2010 and 2021 in international high-impact journals. A total of 1,772 articles have been reviewed, 17 of which were included after the application of the inclusion criteria established according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement. The results demonstrate the use of assessment procedures based on applied means, strategies and tools in order to train pre-service teachers in cross-cutting teaching competences. However, in the majority of the studies analysed, the effectiveness of these procedures is empirically based on the self-perception of those involved and not so much on experimental studies. We advocate the latter due to their value in terms of cause and effect.

A Comparative Analysis of the Lubricating Performance of an Eco-Friendly Lubricant vs Mineral Oil in a Metallic System

Eco-friendly lubricant research continues to increase since it has a comparative performance to commercial mineral lubricants to overcome the effects of environmental impact. However, the efficiency of these green lubricants depends on specific applications. In this study, we analyzed the friction and wear performance of a castor/sesame oil mixture as an eco-friendly lubricant and its comparison to a commercial mineral lubricant tested in a metallic system employed in bearing elements. For this purpose, AISI 8620 steel against ISO 100Cr6 was used as tribological pair. The friction and wear tests were carried out through a Tribometer of ball-on-disk configuration under boundary lubricating conditions, whereas the worn surfaces were investigated by using optical and electron microscopy. The physical properties and the rheological properties of the lubricants were also determined. The friction and wear performance between the eco-friendly lubricant and mineral oil were similar so that the CLE were comparable. The CLE values in terms of friction and wear ranged from 86% to 99.4%, respectively.

Elevated antimüllerian hormone levels are not associated with preterm delivery after in vitro fertilization or ovulation induction

To investigate the association between anti-Müllerian hormone and preterm birth risk in a larger cohort of patients who underwent either in vitro fertilization or ovulation induction with intrauterine insemination at a US academic fertility center. Retrospective cohort study SUBJECTS: Live singleton births from patients who underwent in vitro fertilization or ovulation induction between 2016 and 2020 at a single academic fertility center were included in this study. Patients were excluded if they had a missing pre-pregnancy AMH level, a pregnancy using donor oocytes or a gestational carrier, multiple gestations, a delivery prior to 20 weeks gestation, or a cerclage in place. AMH level MAIN OUTCOME MEASURES: The primary outcome was proportion of preterm delivery. Secondary outcomes included rate of pregnancy-induced hypertension, gestational diabetes, and small for gestational age. In the entire cohort (n=875), 8.4% of deliveries were preterm. Mean AMH values were similar between those with term and preterm births (3.9 vs 4.2 ng/mL, p=0.29). Similar proportions of patients with term and preterm deliveries had AMH levels greater than the 75th percentile (25% vs 21%, p=0.4). The odds of preterm birth were similar by AMH quartile after adjusting for history of preterm birth. Similarly, in the PCOS cohort, there was no difference between mean AMH values of term and preterm births (n=139, 9.6 vs 10.0 ng/mL, p=0.9). The proportions of PCOS patients with AMH levels greater than the 75th percentile were similar between those with term and preterm deliveries (25% vs 22%, p=0.9). The odds of preterm birth were similar by AMH quartile after adjusting for history of preterm birth. Elevated AMH levels were not associated with an increased risk of preterm birth in patients who conceived after in vitro fertilization and ovulation induction, including PCOS patients. Although studies suggest that AMH level may help stratify risk of preterm birth in this population, our findings indicate that further studies are needed prior to clinical application.

An analytical framework to measure the social return of community-supported agriculture

ABSTRACT The lack of objective sustainability indicators and measurements leaves the performance of agricultural systems under-valued, limiting the possibility of communicating any evidence about promoting economic, social, and environmental values to food system stakeholders. In this study, a cost-benefit analysis based on the social return on investment (SROI) was designed and applied to five community-supported agriculture (CSA) initiatives. CSA are local food supply chains that have become popular in recent years, characterized by features such as member volunteer commitment, reduction of synthetic inputs in food production, and shortening of the supply chain to reduce costs and environmental impact. Social and environmental outcomes related to the wider spread of impacts were comprehensively assessed in the study. A participatory assessment with CSA representatives resulted in the incorporation of several ecosystem service (ES) indicators identified from the literature. Findings revealed that the case studies analyzed are characterized by a limited but positive socio-environmental performance compared to conventional food supply chains, thereby demonstrating that they can create real value in terms of social gains and mitigation of environmental impacts.

The transformative nature of the EU Declaration on Digital Rights and Principles: Replacing the old paradigm (normative equivalency of rights)

In December 2022 the European Commission, the European Parliament and the Council of the European Union jointly signed the European Declaration on Digital Rights and Principles, a document aiming to steer the EU digital agenda upon EU constitutional values and fundamental rights. Digital constitutionalism scholars regard the Declaration as a positive step forward within the process of constitutionalization of the digital environment in Europe. The Declaration includes both traditional rights enshrined in the EU Charter of Fundamental Rights and digital principles. Some of these principles have progressively underpinned the EU digital policy framework while others have been expanded in the Declaration or are of completely new formulation. In this contribution, we assess the Declaration's value in terms of relevance and novelty within the landscape of protection of online needs and interests in the EU. By assessing the Declaration's normative approach and using Lawrence Lessig's distinction between codifying and transformative constitutional regimes, we evaluate the Declaration's progressive and transformative character under a constitutional perspective.

Preparation a Magnetic Molecular Imprinted Polymer for Specific Adsorption of Pharmaceutical Pollutants

AbstractAmoxicillin (AMX) is an antibiotic commonly used to treat bacterial and respiratory diseases in humans and animals. In this study, magnetically imprinted polymers (MMIPs) were successfully synthesized and characterized by the surface imprinting method to selectively separate AMX from an aqueous medium. The suitability of kinetic models and isothermal models for the adsorption of AMX from aqueous solutions using magnetic polymers was compared with an unprinted reference polymer (MNIP). The obtained data showed that the adsorption process is compatible with the pseudo‐second order kinetic model and Langmuir isotherm. In addition, adsorption selectivity experiments were performed and it was found that the MMIPs exhibited excellent selective adsorption capacity for AMX. The MMIPs possessed an adsorption capacity of 134 mg/g for AMX and the imprinting factor was 2.23. The MMIPs were also recyclable and retained 86 % of their adsorption capacity after 7 cycles. Based on these results, the study provides a sustainable option in terms of high added value, environmentally friendly, flexible, safe, energy efficient and cost effective in terms of effective removal of pollutants and recycling of adsorbents.

Research on Social Service Effectiveness Evaluation for Urban Blue Spaces—A Case Study of the Huangpu River Core Section in Shanghai

Urban blue spaces (UBSs) hold significant value in terms of public health, tourism economy, and residents’ well-being. The Huangpu River in Shanghai, renowned as a global urban blue space, currently faces challenges such as unequal service capacity across sections and varying levels of spatial vitality. This study incorporates the concept of “service effectiveness” into public space evaluation. Drawing inspiration from the 4E (economics, efficiency, equity, and effectiveness) principles of effectiveness evaluation, a social service effectiveness evaluation system is constructed to measure service efficiency and effect. Through the literature research, 6 primary indicators and 12 secondary indicators are set to investigate the utilization rate and realization effect of the UBS. The evaluation system utilizes field surveys, text analysis, and remote-sensing techniques to collect relevant data. Through standardized calculations, different aspects of the indicators are integrated into a single evaluation criterion. The “overall effectiveness index” and the “efficiency–effect balance index” is introduced to quantitatively analyze the overall effectiveness characteristics, including spatial characteristics and time-varying characteristics, as well as efficiency–effect balance and imbalances. The evaluation located three low-effectiveness sections and three imbalanced sections at the north and south ends of the core section of the Huangpu River. The influence factors of effectiveness are analyzed through correlation test and literature studies, mainly including the urban hinterland, service facilities, environmental quality, and management publicity factors. This study aims to provide research ideas and methods for waterfront area planning and city-refined management.