Top Ranking Research Articles

Analyzing Sensitivity Analysis Techniques: A Comprehensive Study Across Various Fields

Sensitivity analysis. Users of both simulation and mathematical models are given tools by sensitivity analysis to understand how closely a model's output is related to its input and to determine the relative importance of each input. All application fields are included, including engineering, sociology, and theoretical physics. In order to clarify the structure of the entire "Sensitivity Analysis" section of the Springer Handbook, this introduction paper presents the purposes and objectives of sensitivity analysis. A helpful software programmer, the mathematical notation used in the book papers, certain categorization grids to comprehend the application limits of each method, and the fundamental concepts of sensitivity analysis are also covered. Making decisions can benefit from sensitivity analysis in a number of ways. It first serves as a thorough analysis of all the factors. The predictions might be much more accurate because it's more thorough. Second, it enables decision-makers to pinpoint areas where future improvements can be made. The weighted sum technique is a cross decision-making process; as there are numerous possibilities, there are also many more factors that must be considered before choosing the best one. A weighted or weighted collection of sums is a machine learning strategy that combines predictions from various models, with each model's contribution being weighed according to its capacity or level of expertise. Weighted the with mean evening gown voting ensemble related to this method benefits of using it are ease of use, especially when working with convergent problems, such as when disadvantages an all in solution space make it impossible to find solutions and goals a simple way to ascribe weights there is no way. relative deviation ratio (RDR), partial rank correlation coefficient (PRCC), Standardized regression coefficients (SRC), rank regression coefficient (RRC). Beef cow ingestion rate, Atmospheric concentration, Beef transport time, Biological half-life, breathing rat, Feed-to-meat transfer factor, Feed-to-milk transfer factor, Meat consumption rate. from the result it is seen that Biological half-life, breathing rat and is got the first rank whereas is the Beef transport time got is having the lowest rank. Conclusion: The value of the dataset for Sensitivity analysis technique in GRA (Gray-related analysis) method shows that it results in Biological half-life, breathing rat and top ranking.

Challenges and Prospects of University Advancement Centres in Nigerian Universities

Nigerian Universities are grossly underfunded. But the underfunding is a worldwide phenomenon. In the face of this underfunding the US universities have maintained their top ranking in the world and South Africa have maintained their’s in Africa. One major secret of these universities’ performance is their ability to raise funds from alternative sources through the University Advancement centers. Nigerian universities, beginning with University of Port Harcourt, Bayero University Kano, University of Ibadan, Ahmadu Bello University and University of Jos, through the promptings and assistance of the MacArthur and Carnegie foundations, have established the Advancement centres. But unlike the experience of the US and South African universities, the Nigerian universities have reaped very sub-optimal benefits from these centres. This paper presents and discusses the challenges faced by these centres and what can be done to reposition the centres to start tapping from the large pool of funds existing both within the country and internationally for the development of their universities. This will improve their infrastructure and lead to the production of quality human capacity and research outputs needed by the economy for economic advancement.

Construction Project Failure and Abandonment in Kaduna State, Nigeria: An Analysis of the Causes Using the Relative Importance Index

The construction industry serves as one of the key players of a nation's economic growth, considering its role in infrastructural development, revenue generation, provision of jobs and shelter for the masses, enriching the esthetical view and influencing the growth of other key sectors of a nation. In this research, a study was carried out on the causes of construction project failures and abandonment in Kaduna state, Nigeria. The study’s objective was to identify the possible causes of failure and abandonment of construction projects and evaluate the identified causes in their order of importance. To achieve this, a quantitative research approach using questionnaires as an instrument for data collection in Kaduna state was adopted, using a total of One Hundred (100) survey-questionnaires distributed among professionals and workers in the construction industry. Analysis of the data acquired from the returned questionnaires was done using SPSS v26 and MS Excel 2016 to obtain the descriptive statistics and the Relative Importance Index (RII). From the ranking, Corruption (RII = 85.9%), Change in government administration (RII = 82.8%), Politics (RII = 82.8%), Government policies (RII = 81.9%) and Inadequate involvement of construction professionals (RII = 81.3%) were the five top ranking causes of project failure and abandonment in the study area. The Spearman rho correlation showed some significant but low relationship among the variables, while the Kruskal-Wallis test indicated the same distribution of all the variables among the construction professionals. The research also revealed that although insecurity was a burning issue for the industry especially in the study area, its ranking showed that it was not considered a significant factor in relation to the other factors.

Defining super-enhancers by highly ranked histone H4 multi-acetylation levels identifies transcription factors associated with glioblastoma stem-like properties

BackgroundSuper-enhancers (SEs), which activate genes involved in cell-type specificity, have mainly been defined as genomic regions with top-ranked enrichment(s) of histone H3 with acetylated K27 (H3K27ac) and/or transcription coactivator(s) including a bromodomain and extra-terminal domain (BET) family protein, BRD4. However, BRD4 preferentially binds to multi-acetylated histone H4, typically with acetylated K5 and K8 (H4K5acK8ac), leading us to hypothesize that SEs should be defined by high H4K5acK8ac enrichment at least as well as by that of H3K27ac.ResultsHere, we conducted genome-wide profiling of H4K5acK8ac and H3K27ac, BRD4 binding, and the transcriptome by using a BET inhibitor, JQ1, in three human glial cell lines. When SEs were defined as having the top ranks for H4K5acK8ac or H3K27ac signal, 43% of H4K5acK8ac-ranked SEs were distinct from H3K27ac-ranked SEs in a glioblastoma stem-like cell (GSC) line. CRISPR-Cas9–mediated deletion of the H4K5acK8ac-preferred SEs associated with MYCN and NFIC decreased the stem-like properties in GSCs.ConclusionsCollectively, our data highlights H4K5acK8ac’s utility for identifying genes regulating cell-type specificity.

Concepts for Further Sustainable Production Using TOPSIS Method

Sustainable Production, Introduction: Sustainable manufacturing emphasizes both the product's characteristics and the way it is created. This covers the materials used, the production methods, and the product design. Sustainable manufacturing practices involve producing goods with less waste, less hazardous materials, and less energy. It also involves creating goods with more environmentally friendly qualities like lower energy consumption or irreconcilability. Research signification: According to this idea, for a business to be truly sustainable, it must take into account and pay attention to both its economic and social performance. Methodology: TOPSIS research on issues related to sustainable development, the surroundings and renewable electricity sources are getting famous. Another location that has caught the attention of researchers inside the area of fitness is the difficulties in deciding on The right solution, A.G. In intense cerebrovascular disease, a difficult overview of the Tops techniques used in the examined sheets is illustrated. Furthermore, different methods used alongside the TOPSIS method are supplied. Alternative: Quick win, Payback 1–3 years, Payback 3–6 years, and Total potential. Evaluation Preference: Oil refining, Petrochemicals, Iron and steel, Chemicals, Food and drink. Results: from the result it is seen that Food and drink is got the first rank where as is the Iron and steel is having the lowest rank. Conclusion: The value of the dataset for Sustainable Production in TOPSIS method shows that it results in Food and drink and top ranking.

Assessing the Genetic Diversity for Yield Attributing Traits in Aromatic Rice Landraces Using Multivariate Analysis

The present investigation was carried out in kharif 2020 (July to November) to explore the genetic diversity for yield and its attributing traits. Genetic diversity can directly provide information on germplasm richness and the extent of their genetic amelioration. Multivariate statistical techniques analyze multiple measurements on each individual under study and are widely used in the analysis of genetic diversity. Here, multivariate analysis techniques like principal component analysis was used to assess genetic diversity in 90 aromatic rice genotypes along with six checks for 24 yield attributing traits. Analysis of variance revealed significant and ample amount of variation for all the studied traits. High magnitude of coefficient of variation was observed for number of effective tillers plant-1, panicle weight, number of filled grains panicle-1, total grains panicle-1, grain yield plant-1 (g), 1000 grain weight and biological yield plant-1 (g) indicating the existence of significant variability among the yield traits and offers the opportunities of improvement through desirable selection techniques. Results of principle component analysis revealed that out of twenty-four traits studied, only seven principal components (PCs) exhibited more than 1.00 eigen value and showed about 77.39% cumulative variability among the traits and are given due importance in this study. Here PC1 had the highest variability followed by PC2, PC3 and so on. Top ranking accessions identified in PC1 are Sukra Phool, Tendu Phool, Banspatri and Chinnour. Consequently, the results of the current study can be taken into account while developing new rice varieties.

Evaluation of organizational culture in companies for fostering a digital innovation using q-rung picture fuzzy based decision-making model

Developing a comprehensive data-driven strategy for evaluating the organisational culture in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) problem. This needs to consider various organisational culture characteristics that influence digital innovation success, assign significance weights to each characteristic, and recognise that distinct organisational cultures may excel in different aspects necessitates the proper handling of data variations. Hence, to provide organisations seeking to align cultural practises with digital innovation objectives with valuable insights, this study aims to develop an MCDM model for evaluating and benchmarking organisational culture in companies to foster digital innovation. The benchmarking decision matrix is formulated based on the intersection of evaluation characteristics and a list of organisational culture aspects in companies. The MCDM model is developed in two phases. Firstly, a new weighting model, q-rung picture fuzzy-weighted zero-inconsistency (q-RPFWZIC), is formulated for assessing the evaluation characteristics under the q-rung picture fuzzy sets environment. Secondly, the simple additive weighting (SAW) model is formulated for benchmarking the organisational culture in companies using the extracted weights of the evaluation characteristics. The results indicate that characteristic C6 (corporate entrepreneurship) has the highest weight, with a value of 0.161, while characteristic C3 (employee participation, agility and organizational structures) and C7 (digital awareness and necessity of innovations) has the lowest weight of 0.088. Company A2 secures the top rank with a score of 0.911, satisfying eight evaluation characteristics, whereas company A7 holds the last rank order, satisfying only one evaluation characteristic, obtaining a score of 0.101. In model evaluation, several scenarios were considered in a sensitivity analysis test based on a 100% increment in weight values for each characteristic to validate the reliability of the model results.

Effects of Nutrition Package Claims, Nutrition Facts Panels, And Motivation to Process Nutrition Information on Consumer Product Evaluations Using the WPM Method

It includes a number of significant nutrients that have an impact on health. Look for meals that are higher in the nutrients you want to consume more of and lower in the nutrients you want to consume less of. The label can be used to support your own dietary objectives. Limit your consumption of added sweets, salt, and extra fat. The nutritive information, serving size, and nutrients for a portion of a food product are listed on the Health Facts label. This aids customers in choosing the right amount to eat, maybe the ideal time to eat this item, r the greatest way to balance their daily food intake. What Nutrients Must Appear on Nutritional and Additional Information Labels? Protein, key vitamins, and minerals, as well as whole fat, heavy fat, Trans fat, blood, salt, total sugars, dietary fibre, total sugars, adding sugars, and nutrients must all be listed on the Food Facts label. The Nutrition Information label on the packaging is based on current dietary advice for Americans and scientific research. You may pick items for a clean diet by using the label. All ice creams, both domestically produced and imported, are obliged to have a label. Alternative: “Bambusa tulda, Dendrocalamus hamiltonii, Daucus carota and Raphanus sativus”. Evaluation Option: Protein, Carbohydrate, Fats, Fibers, Vitamin C, Vitamin E, Calcium, Phosphorus, Iron, Sodium, Potassium, Magnesium. “from the result it is seen that Sodium and is got the first rank whereas is the Calcium got is having the lowest rank”. “The value of the dataset for Nutritional Facts in Weighted product method shows that it results in Sodium and top ranking”.

An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems.

The Hunger Games Search (HGS) is an innovative optimizer that operates without relying on gradients and utilizes a population-based approach. It draws inspiration from the collaborative foraging activities observed in social animals in their natural habitats. However, despite its notable strengths, HGS is subject to limitations, including inadequate diversity, premature convergence, and susceptibility to local optima. To overcome these challenges, this study introduces two adjusted strategies to enhance the original HGS algorithm. The first adaptive strategy combines the Logarithmic Spiral (LS) technique with Opposition-based Learning (OBL), resulting in the LS-OBL approach. This strategy plays a pivotal role in reducing the search space and maintaining population diversity within HGS, effectively augmenting the algorithm's exploration capabilities. The second adaptive strategy, the dynamic Rosenbrock Method (RM), contributes to HGS by adjusting the search direction and step size. This adjustment enables HGS to escape from suboptimal solutions and enhances its convergence accuracy. Combined, these two strategies form the improved algorithm proposed in this study, referred to as RLHGS. To assess the efficacy of the introduced strategies, specific experiments are designed to evaluate the impact of LS-OBL and RM on enhancing HGS performance. The experimental results unequivocally demonstrate that integrating these two strategies significantly enhances the capabilities of HGS. Furthermore, RLHGS is compared against eight state-of-the-art algorithms using 23 well-established benchmark functions and the CEC2020 test suite. The experimental results consistently indicate that RLHGS outperforms the other algorithms, securing the top rank in both test suites. This compelling evidence substantiates the superior functionality and performance of RLHGS compared to its counterparts. Moreover, RLHGS is applied to address four constrained real-world engineering optimization problems. The final results underscore the effectiveness of RLHGS in tackling such problems, further supporting its value as an efficient optimization method.

Future Research Opportunities Agricultural Sector Using Weighted sum method (WSM)

Agricultural sector Introduction: Crop and animal production, agricultural machinery, fertilizers, fertilizers, and agriculture agricultural machinery to support other types of products including manufacturing a branch of economics. Learn more: rural areas recreation and tourism to demonstrate ability as an innovative approach clustering. World's staple food staples as wheat and india is the second largest producer of rice big india is now the world the second largest fruit, based on agriculture textile raw materials, roots, and tuber crops, pulses varieties, farmed fish, eggs, coconut, sugarcane and more produces vegetables. Research significance: Primarily agricultural sectors growing crops and animals raising, and a farm, on the farm or theirs from natural habitats fish and other animals engaged in harvesting. The agriculture sector today has many challenges faced, i.e. Climate the change is dramatic in statistics for changes and feeding enormous increase in demands. Agriculture 4.0, industry 4.0 was created in light of name, cross-industry technologies, and connecting applications by addressing these challenges aims to crop to improve products with the ultimate goal of agriculture 4.0 information and communication using technologies. For measuring related data it defines methods, analyzing measurements near real-time, if necessary. Define actions accordingly using, for example, the weather and soil conditions data through special sensors collect and then each individual the right amount of water for the plant, pesticides, and fertilizers machine learning to determine can be analyzed by methods. Methodology: the weighted sum method is a multi-criteria decision-making systematic, with many alternatives there are many more criteria basically what is the best alternative we have to decide. Weighted average or weighted a group of sums is a group a machine learning approach, it makes predictions from multiple models integrates, where each a contribution of the model is its capacity or in proportion to skill is weighed. Weighted with the mean ensemble voting ensemble related to this method advantages of using it ease of use, esp working with convergent problems including when disadvantages an all in non-convex solution space unable to find solutions being and goals a straightforward way to assign weights there is no way. Alternative: 2015, 2018, 2020, 2021. Evaluation preference: agriculture marketing, milk-fed financial institute and social forestry, dairy farming, soil and water conservation, animal husbandry. Results: the result is seen that agriculture marketing got the first rank whereas is dairy farming is having the lowest rank. Conclusion: it can be seen that agricultural marketing gets the top rank, whereas dairy farming has the lowest rank.

Gambaran Pengetahuan tentang Kanker Serviks pada WUS (Wanita Usia Subur) di Posyandu Lavenda Kelurahan Kenali Besar Kota Jambi

The incidence and mortality rate due to cervical cancer in the world ranks second after breast cancer. Meanwhile, developing countries still occupy the top rank as the cause of death from cancer at reproductive age. The death rate for cervical cancer is still high, more than 92 thousand women in Indonesia are due to cervical cancer, this can be caused by the absence of an early monitoring process. The coverage of early detection of cervical cancer in Indonesia is very low, only around 5%. This is caused by a lack of knowledge about cervical cancer so that the incidence of cervical cancer increases every year. The purpose of this study was to describe the level of knowledge of WUS about cervical cancer in Posyandu Lavenda, Kenali Besar sub-district, Jambi City. The research method used is quantitative research with a descriptive analytic approach with a cross sectional design, with accidental sampling technique being used as a sample. Data collection in this study was carried out using an online questionnaire. The subjects of this study were 50 individuals, this study was analyzed using univariate analysis. This research was conducted from October 2021 to July 2022. Research results Based on the research it was found that some Women of Reproductive Age (WUS) had good knowledge of 53.3%, and some had bad knowledge of 46.5% about cervical cancer. This study can be concluded that some Women of Reproductive Age (WUS) have good knowledge as much as 53.3%, and some have bad knowledge as much as 46.5% about cervical cancer. Suggestions for future researchers to examine more deeply the factors that influence the incidence of cervical cancer.

Urban Agriculture Overview of Sustainability Using GRA Methodology

Urban Agriculture, Introduction: In the context of urban agriculture, this talk examines the significance of seeds and how they help define sustainability. Urban farming can be defined as you want, just like sustainability can be defined however you want. an agricultural operation situated in a non-rural setting where communication and education are given equal weight with the farm goods itself. Sustainability is separated into three aspects: ecological, social, and economic. This modern urban farm combines these aspects. Research significance: The world is changed by seeds. Every human civilization has realized the legacy of these diminutive, potent pods, and Cache Canyon is no exception. Settlers with in late 1800s swiftly took full advantage of farm land, successfully planted certain seeds, and marveled as the valley soon produced a bounty of vegetables and dairy products. Despite the modifications brought about by the population center's increased urbanization, modern Cache Valley still has its roots in agriculture. A drive through every local neighborhood will most likely lead to sights of chickens, horse, goats, and vast gardens- live new testament to the effect of farming. Methology: Gray-associated analysis for improving turning functions with more than one performance traits. A grey relative pleasant derived from ash-associated Analysis is used to destroy turn functions with two approach because overall efficiency The code is widely used in relation to gray. Tool lifestyles, cut Pressure and ground hardness are essential housings could be top of the line inside the study. Alternative: Community farm, Conventional food supply, Absolute GWP savings, Relative GWP savings. Evaluation Preference: Apples, Beans (spring), Beans (Autumn), Carrots, Courgettes. Result: from the result it is seen that Beans (spring) and is got the first rank whereas is the Beans (Autumn) got is having the lowest rank. Conclusion: The value of the dataset for Sentiment analysis technique in GRA (Gray-related analysis) method shows that it results in Beans (spring) and top ranking.

A Descriptive and Historical Study of Bibliography with Applications to Medical Science Using WASPAS Method

Several topics in medical science aim to explain how it human body functions. Beginning with fundamental biology, it is typically separated into specialized fields like anatomy, pharmacology, and diseases with a little physiology, microbiology, structural biology, and genetics thrown in. Several topics in medical science aim to explain how it human body functions. Beginning with fundamental biology, it is typically separated into specialist fields like anatomy, pharmacology, and diseases with a little physiology, microbiology, structural biology, and genetic thrown in. You can switch from a biological science to a physician career, yes. You can apply to graduate entrance program in medicine or pharmacy. It makes it possible for graduates in biological sciences and the healthcare industry to earn an MD degree swiftly. With additional study and a certificate in medical science, you can still find meaningful employment in the larger fields of medical, pharmaceutical, and health sciences. You will also have a strong basis for becoming a doctor or dentist. Alternative: Male students, Female students, and Female interns. Evaluation Option: Students' views of learning, educational self, perceptions of the environment, and social self of students’ perception of teachers from the result it is seen that Students’ perception of atmosphere and is got the first rank whereas is the Students’ perception of learning got is having the lowest rank. The value of the dataset for medical science in WASPAS method shows that it results in Students’ perception of atmosphere and top ranking

Empirical Test of CAPM Model in Stock Market

The rapid development of the economy has brought about the continuous accumulation of personal assets, and at the same time, the concept of financial management is rapidly budding and spreading. People's rapidly expanding consumer desire makes stocks, funds, and other products more appealing, leading them to prefer the financial route. However, stocks and funds need investors to bear certain risks, generally speaking, the greater the risk, the more lucrative the investment returns. The CAPM model was born for this reason, and its main content is the relationship between yield and risk and equilibrium pricing. The application of the CAPM model in the stock market has always been the focus of attention. As a core part of the stock market, the banking sector has an inseparable relationship with finance. Therefore, this paper selects eight stocks of banks with long listed times and top market capitalization rankings, conducts empirical analysis on their trading data from 2018 to 2021, and employs the time series detection method to test whether the single factor CAPM model is effective in the Chinese stock market.

Supply Chain Management in Using DEMATEL Method

Supply Chain Management. Introduction: The management of the flow of goods and services that starts at the point of origin and concludes with consumption is known as supply chain management. Additionally, it includes the transportation and storage of basic supplies used in ongoing projects, inventory, and fully furnished commodities. Monitoring and tying together the manufacturing, transport, and shipment of goods and services is the primary goal of supply chain management. Companies that have excellent and tight control over internal inventory, production, distribution, internal productions, and sales can do this. The flow of commodities, services, and knowledge from the manufacturer to the consumer is depicted in the above diagram. The image shows the transfer of a good from a producer to a manufacturer. Research significance: improved client relationships and services are developed. improves the delivery of goods and services with the least amount of delay. increases productivity and operational efficiency. reduces the expense of storage and transportation. cuts down on both direct and indirect expenditures. aids in attaining the timely delivery of the appropriate goods to the appropriate location. improves inventory management, enabling just-in-time stock model execution to be carried out successfully. helps businesses adjust to the challenges posed by economic instability, rising consumer demands, and related variations. Methodology: the decision-making trial and evaluation laboratory (dematel) is regarded as an efficient technique for locating the causal links in a complex system. It focuses on assessing the interdependencies between elements and identifying the crucial ones using a visual structural model. Alternative: Alignment mechanisms, Cross functional process changes, Information systems, Performance measurement, People empowerment. Evaluation preference: Alignment mechanisms, Cross functional process changes, Information systems, Performance measurement, Alliance design, People empowerment. Results: from the result, it is seen that Alignment mechanisms got the first rank whereas the, People empowerment is having the lowest rank. Conclusion: as can be seen, Alignment mechanisms has the lowest rating while, People empowerment has the top rank.

Enabling Efficient IoT Device Connectivity and Dynamic Network Management through SDN: A Weighted Sum Method Approach

SDN-Enabled IoT Networks bring about a transformative shift in conventional network models by integrating the core principles of Software-Defined Networking (SDN) into the realm of the Internet of Things (IoT). This integration empowers the agile and effective management of IoT devices, facilitating smooth connectivity, optimized distribution of resources, and flexible network setups. Through the consolidation of control and the utilization of virtualization methods, SDN-Enabled IoT Networks amplify scalability, security, and real-time responsiveness. This addresses the obstacles presented by the extensive proliferation of IoT devices. This paradigm transition heralds a fresh era of interconnectedness, where SDN assumes a central role in harmonizing the intricate interplay of IoT devices and services. The rapid expansion of Internet of Things (IoT) devices has introduced unparalleled complexities in overseeing networks and establishing connections. This compels the need for inventive strategies to effectively manage the substantial surge of IoT devices and their ever-changing connectivity prerequisites. Software-Defined Networking (SDN) emerges as a promising approach to tackle these issues by enabling the flexible management of networks and allocation of resources. This study investigates the amalgamation of SDN within the realm of IoT, aiming to streamline device connections, optimize data transmission efficiency, and accommodate adaptable network setups. Introducing an innovative weighted sum technique for resource allocation optimization, this work lays the foundation for a comprehensive framework that bolsters IoT network performance and expandability. Four different SDN implementations are examined, including the Conventional IoT Network, SDN-enabled IoT utilizing Centralized Control, SDN-enabled IoT employing Distributed Control, SDN-enabled IoT with Hierarchical Control, and SDN-enabled IoT utilizing Hybrid Control. The assessment considers various aspects such as Enhanced Scalability, Enhanced Traffic Engineering, Heightened Security, Implementation Complexity, Difficulty of Migration, and Reliance on Vendors. The Conventional IoT Network secures a moderate 3rd position with a Preference Score of 0.56030, while the SDN-enabled IoT with Centralized Control holds the 5th rank at 0.49732, despite excelling in specific domains. The SDN-enabled IoT with Distributed Control achieves the top rank with a notable Preference Score of 0.79414 due to comprehensive performance, followed by the SDN-enabled IoT with Hierarchical Control securing the 2nd spot (Preference Score: 0.57022), and the SDN-enabled IoT with Hybrid Control taking the 4th position (Preference Score: 0.51300), particularly excelling in Traffic Engineering.

The competitiveness analysis of Chinese automobile industry based on Improved Porter Diamond Model

With the rapid development of Chinese automobile industry, it has become one of the pillar industries of the national economy, which plays an increasingly important role in the rapid growth of the national economy. This paper aims to investigate the competitiveness of Chinese automobile industry in different provinces and cities and to quantify the core competitiveness. Improved Porter Diamond Model is adopted to evaluate the factors that affect the Chinese automobile industry, including Industrial structure, Production factors, Demand conditions, Related and supporting industries. The data used for the analysis mainly comes from China Automobile Yearbook. Entropy Method and TOPSIS are applied to calculate the weights of each factor and evaluate the quality level of the indexes. According to the analysis, Guangdong, Jiangsu, Shanghai, Jilin, Shandong, Hubei, Zhejiang, and Beijing have higher scores and top ranking, showing strong core competitiveness, which is consistent with the reality. Tibet, Qinghai, and Ningxia ranked last because of their geographical location, which restricted the development of their automobile industry. The model can truly rank the province’s automobile core competitiveness quantitatively, which is consistent with the reality and has high practical application value. Overall, these results shed light on guiding further exploration of the evaluation and quantification of core competitiveness in different industries.

Index‐based selection of potato (Solanum tuberosum L.) genotypes for tolerance to soil moisture and ambient heat stress

AbstractDeveloping potato varieties that have enhanced tolerance to soil moisture and high‐temperature stress could improve household food and nutrition security in drought and heat prone areas. A field experiment was conducted at two locations in Ethiopia to evaluate the effectiveness of some stress tolerance indices for the identification of drought and heat tolerant potato genotypes. Treatments consisted of two irrigation regimes and 23 potato genotypes. The experiment was laid out as a split‐plot design in a factorial arrangement with three replications. Irrigation regimes were the main plot factor and genotypes were the sub‐plot factor. Stress tolerance indices were calculated based on the tuber yield under stress (Ys) and non‐stress (Yp) conditions of each genotype. To determine the most desirable stress tolerant genotypes, all indices mean rank (R) and standard deviation of the R were computed. Genotypes Cl‐12(CIP‐304371.67), Cl‐13(CIP‐304383.80), Cl‐2(CIP‐302499.30), Cl‐34(CIP‐397079.6), Cl‐15(CIP‐304394.56), and Cl‐14(CIP‐304387.39) were found to have had top mean ranks and higher tuber yield under drought and heat stress. Ranking methods using all indices best determined desirable drought, heat, and combined drought‐heat tolerant genotypes that consistently coincided with the yield rank of genotypes under a given stress condition. This implies that these indices (stress tolerance index, geometric mean productivity, mean productivity, yield stability index, and tolerance index) could be used in combination to differentiate stress tolerances and susceptible potato genotypes. It is recommended that genotypes that exhibited higher drought and/or heat stress tolerance in this study could be further evaluated in drought and heat prone areas for the development of tolerant potato varieties.

Implementasi White Hat SEO (Search Engine Optimization) Pada Website E-Commerce Sayur Plagro.id

Internet users in Indonesia have increased by 64% of the total population in Indonesia in 2020. This number has increased by 17% compared to 2019. The website is one of the internet technologies that is not only a medium of information but also to support a company's business processes such as selling products and services online, but sales through the website cannot be done without the support of the right promotion strategy. Usually, 62% of internet users are interested in the first 10 or 20 pages of the SERP (Search Engine Result Page), and another 38% will look at the website on the next page. One method that can be used to get top rankings on search engines on the internet is to implement SEO methods. SEO (Search Engine Optimization) is a promotional technique that uses search engine optimization to ensure that a website ranks high or is on the first page on SERPs. One of the problems faced by the Plagro.id e-commerce website is the position in search engine search results based on the targeted keywords not being in an indexed position on the SERP (Search Engine Results Page) or ranked 100 and above on the SERP (Search Engine Results) Page), so that it is not visible or is still on a page far from the SERP. This study implemented one of the SEO methods, namely White Hat SEO on the Plagro.id e-commerce website, then tested using Serprobot Tools. After the website is optimized, it is tested again with the same testing tools. From the results of this study, the results of increasing the ranking of the Plagro.id e-commerce website in the SERP after implementing SEO.

Old English perspectives on the complement shift

Abstract This article gathers a motivated inventory of Old English self-manipulative verbs, including Abstain verbs and Refrain verbs, analyses their semantics and syntax and offers diachronic perspectives on the replacement of that-clause complementation with the from + -ing construction. Such perspectives go in two directions. Firstly, the semantics of the that-clause remains intact throughout the change to the from + -ing construction. Secondly, deverbal nominalisations contribute to the semantics and syntax required by the gerund. The main conclusion is that Refrain verbs are exceptional because the competition leading to the Complement Shift does not hold between finite and non-finite clauses, but between finite clauses and deverbal nominalisations. This has two important consequences: the status of derived nominal linked predications must be acknowledged, and deverbal nominalisations must occupy the top of the syntactic ranking of clause linkage.