Terms Of Efficiency Research Articles

A Decomposed-Ensemble Prediction Framework for Gate-In Operations at Container Terminals

Container terminals play a crucial role in global logistics and trade, with gate-in operations significantly impacting overall terminal efficiency and cargo turnover speed. This paper analyzes a series of problems caused by the randomness of the arrival of export containers at the container yard, including wastage of yard space, excessive waiting time for external trucks, and conflicts with other production operations. To address these issues, a method based on a decomposed ensemble framework is proposed to predict short-term container quantities for gate-in operations at container terminal gates. The experiment compares the autoregressive integrated moving average (ARIMA) algorithm, the prophet algorithm, and the Long Short-Term Memory (LSTM) algorithm, with results indicating the clear advantage of Long Short-Term Memory in decomposed time series modeling. The introduction of this method is expected to enhance the accuracy and flexibility of terminal production planning, optimizing resource utilization. Contributions of this paper include the proposal of predictive models, a shipping route-based decomposed-ensemble framework, and confirmation of the superiority of Long Short-Term Memory in prediction through comparative analysis. These contributions are expected to improve terminal operational efficiency, reduce resource wastage, and better adapt to the highly stochastic gate-in operation environment.

The lack of terminal efficiency of the students of the 2018-2022 generation of the Faculty of Engineering of the Universidad Autónoma de Campeche

The research addresses academic completion in the Faculty of Engineering of the Autonomous University of Campeche (UAC) during the 2018-2022 generation, especially affected by the COVID-19 pandemic. Despite the reputation of the UAC and its efforts to maintain educational quality, several causes are identified that contribute to low terminal efficiency. A quantitative and descriptive approach was used, surveying 200 students about various factors such as academic support, study conditions, and the effectiveness of online classes. The results indicate that many students faced difficulties such as lack of devices, internet connectivity problems, and loss of family employment, which impacted their ability to complete their studies. In addition, the lack of teaching support and emotional problems were also relevant factors. It is concluded that, despite the UAC's efforts to mitigate the impact of the pandemic, the combination of internal and external factors limited the terminal efficiency of this generation. Possible solutions are suggested to improve the academic situation of students in the future.

Adaptive Performance Evaluation of Container Terminals Through Normalization and Parameter Analysis

Background: Container terminals are a pivotal part of global logistics networks, influencing supply chain reliability and port competitiveness. Traditional performance evaluation methods, such as KPI-based assessments or multi-criteria analyses, often fail in dynamic operational conditions with inherent uncertainty and variability. Methods: This study proposes a normalization-based framework to evaluate container terminal performance by standardizing operational parameters, including availability, non-productive operations, operation time, energy consumption, and throughput. The methodology involves parameter definition, normalization, weight assignment, index calculation, and performance classification. Results: The findings demonstrate that normalization ensures a transparent and adaptable evaluation framework. Sample calculations show how parameter weights influence terminal assessments across varied scenarios, confirming the robustness of the proposed method in capturing dynamic operational changes. Conclusions: Normalization offers a practical tool for enhancing container terminal efficiency and competitiveness. It enables decision-makers to adapt strategies to changing priorities, such as throughput maximization or energy efficiency, ensuring comprehensive and reliable performance assessments.

Effect of the COVID-19 Pandemic on the Educational Indicators in the Dentistry Career of the University of Costa Rica

This study aimed to determine the effect of the COVID-19 pandemic on the educational indicators of students who enrolled in the dentistry program at the University of Costa Rica between 2015 and 2021. Records of 522 students were analyzed, considering variables such as gender, age at entry, nationality, marital status, children, place and type of high school attended, and course performance. Information was extracted from the Student Applications System, physical records, and the Civil Registry of Costa Rica. Descriptive and bivariate analyses were performed to identify patterns and correlations between variables, and approval rates before and during the pandemic were evaluated. Seventy percent of the students were women, predominantly Costa Rican, aged between 19 and 23, from public high schools, and originating from the Greater Metropolitan Area. Terminal efficiency was zero due to the closure of clinical courses in 2020, which prevented the 2015 to 2017 cohorts from graduating within 12 semesters. The dropout rate was highest in the first and second semesters, with a progressive decrease in subsequent semesters. Most cohorts experienced delays, particularly in semesters 7-8 and 9-10. First-attempt approval rates increased in some service courses with virtualization during the pandemic, such as Intensive General Chemistry and Elementary Mathematics, but no difference was observed in the courses specific to the School of Dentistry. The COVID-19 pandemic had varying impacts on educational indicators, with virtualization improving performance in some theoretical courses while posing challenges in those with practical and clinical components.

Response and adaptation of the transcriptional heat shock response to pressure.

The molecular mechanisms underlying pressure adaptation remain largely unexplored, despite their significance for understanding biological adaptation and improving sterilization methods in the food and beverage industry. The heat shock response leads to a global stabilization of the proteome. Prior research suggested that the heat shock regulon may exhibit a transcriptional response to high-pressure stress. In this study, we investigated the pressure-dependent heat shock response in E. coli strains using plasmid-borne green fluorescent protein (GFP) promoter fusions and fluorescence fluctuation microscopy. We quantitatively confirm that key heat shock genes-rpoH, rpoE, dnaK, and groEL - are transcriptionally upregulated following pressure shock in both piezosensitive Escherichia coli and a more piezotolerant laboratory-evolved strain, AN62. Our quantitative imaging results provide the first single cell resolution measurements for both the heat shock and pressure shock transcriptional responses, revealing not only the magnitude of the responses, but also the biological variance involved. Moreover, our results demonstrate distinct responses in the pressure-adapted strain. Specifically, PgroEL is upregulated more than PdnaK in AN62, while the reverse is true in the parental strain. Furthermore, unlike in the parental strain, the pressure-induced upregulation of PrpoE is highly stochastic in strain AN62, consistent with a strong feedback mechanism and suggesting that RpoE could act as a pressure sensor. Despite its capacity to grow at pressures up to 62 MPa, the AN62 genome shows minimal mutations, with notable single nucleotide substitutions in genes of the transcriptionally important b subunit of RNA polymerase and the Rho terminator. In particular, the mutation in RNAP is one of a cluster of mutations known to confer rifampicin resistance to E. coli via modification of RNAP pausing and termination efficiency. The observed differences in the pressure and heat shock responses between the parental MG1655 strain and the pressure-adapted strain AN62 could arise in part from functional differences in their RNAP molecules.

Why is demurrage important for logistics companies using container terminals? An analysis of the determinants of demurrage and its impact on firm performance

During the COVID-19 pandemic, severe demurrage in shipping and container terminals has led to a global logistics crisis and supply chain disruptions. Although the situation is gradually stabilizing, discussions persist on strategies to reduce volatility in container freight transportation. Demurrage imposes unnecessary costs, delays deliveries, and impedes the efficiency of container terminals. This study analyzes the factors influencing demurrage from the perspective of logistics companies, specifically, based on the characteristics of logistics companies and the attributes of the cargo owners they serve. Additionally, it explores the impact of demurrage levels on firm performance and investigates how this relationship may be moderated by container terminal characteristics. The empirical findings indicate that advancements in information systems within logistics companies, along with improved collaboration and contract compliance among cargo owners, can significantly reduce demurrage. This reduction in demurrage can enhance firm performance. Furthermore, credibility management and digitization of shipping documents also play a crucial role in minimizing demurrage. Building on previous research and empirical insights, this study emphasizes the importance of sustained long-term investment and policy support from the government for the digital transformation of logistics processes, complementing the efforts of both logistics companies and cargo owners.

Analyzing Passenger Flows in an Airport Terminal: A Discrete Simulation Model

This paper introduces a simulation model designed as a decision-making tool to assess and analyze various crowd management strategies with a focus on enhancing sustainability in airport operations. This model specifically addresses the challenges and risks associated with managing passenger flows within airport terminals. By simulating different scenarios, the model aims to provide valuable insights into how to effectively handle crowd dynamics and enhance overall terminal efficiency, safety, and sustainability. This case study was conducted at Henri Coanda International Airport, ARENA 12 simulation software being used in order to model the passenger flows within the airport terminal. Two scenarios were considered: The first one involves maintaining a fixed number of security and check-in desks for the two airline groups. In contrast, the second scenario allows for a variable number of security and check-in desks for the same airline groups. By optimizing resource allocation and minimizing waiting time, this model contributes to more sustainable airport management operations. Three measures of performance (MOPs) were selected to assess the system activity: the average passenger waiting time, the average passenger number queue length, and the average utilization rate. Comparing the results, we concluded that the second scenario shows a relative improvement in almost all performance measures when compared to the first scenario.

Mind-body Balance. Experience Workshop for New Entry Students in Engineering

Objective: Evaluate a comprehensive educational intervention in groups of new students in engineering, using techniques for the management of their mental health, to reinforce their conditions for learning. Theoretical Framework: Development of graphic organizers, reinforcement of self-esteem, ability to concentrate, and balanced diet, strengthen study habits and techniques, maintaining mental health, and improving school performance. This topic presents the main concepts and theories that support the research. Method: An educational intervention was designed and carried out for 550 engineering students. They joined a workshop on personal balance for their entry in 2017. Perception surveys and personal testimonies were applied. Their academic performance was analyzed after one year and contrasted with other generations. Results and Discussion: Testimonials and responses to perception surveys from students and the teacher showed more than 82% acceptance. The techniques were perceived as beneficial elements for personal life, and an alternative for mental health management. Their academic performance one year after entering was similar to that of those who had a better entry profile. Research Implications: The results were used to establish an engineering entry strategy and improve the school career, benefiting terminal efficiency. Originality/Value: This study offers the evaluation of the comprehensive intervention applied to engineering students to guide the admission strategy.

Terminal efficiency of Peruvian university students in the second specialty programs of a dental school over seven years

Background Concerns regarding academic efficiency at the postgraduate level in university programs require attention from those responsible for making university administrative decisions. This study aimed to determine the terminal efficiency of Peruvian university students enrolled in second specialty programs in a dental school over seven years. Methods This cross-sectional study considered all records of documents submitted for obtaining a title of second professional specialty in the programs offered by a dental school, published in its institutional repository between 2017 and 2023. The study variable was terminal efficiency (TE), considered both as a quantitative and qualitative variable. Additionally, some covariates were included, such as the year of formal document submission, the mode of document preparation, the second professional specialty in dentistry, and sex. Descriptive analysis was conducted to obtain absolute and relative frequencies. Bivariate analysis was performed using Chi-square, Mann-Whitney U, and Kruskal-Wallis tests. Results From the evaluation of TE between 2017 and 2023, it was observed that 72.09% (n=186) of students with a document submitted for obtaining a title of second professional specialty and published in the repository had a TE categorized of “Up to 1 year”. Likewise, the mean TE was 0.95 years (SD=1.25), with a statistically significant difference (p<0.001) between medians when evaluated based on the year of formal document submission and the dental specialty program. Conclusion The mean terminal efficiency of Peruvian university students in second specialty programs in a dental school over seven years was 0.95 years.

Creating a Genetic Toolbox for the Carbon-Fixing, Nitrogen-Fixing and Dehalogenating Bacterium Xanthobacter autotrophicus.

Xanthobacter autotrophicus is a metabolically flexible microorganism with two key features: (1) The organism has adapted to grow on a wide variety of carbon sources including CO2, methanol, formate, propylene, haloalkanes and haloacids; and (2) X. autotrophicus was the first chemoautotroph identified that could also simultaneously fix N2, meaning the organism can utilize CO2, N2, and H2 for growth. This metabolic flexibility has enabled use of X. autotrophicus for gas fixation, the creation of fertilizers and foods from gases, and the dehalogenation of environmental contaminants. Despite the wide variety of applications that have already been demonstrated for this organism, there are few genetic tools available to explore and exploit its metabolism. Here, we report a genetic toolbox for use in X. autotrophicus. We first identified suitable origins of replication and quantified their copy number, and identified antibiotic resistance cassettes that could be used as selectable markers. We then tested several constitutive and inducible promoters and terminators and quantified their promoter strengths and termination efficiencies. Finally, we demonstrated that gene expression tools remain effective under both autotrophic and dehalogenative metabolic conditions to show that these tools can be used in the environments that make X. autotrophicus unique. Our extensive characterization of these tools in X. autotrophicus will enable genetic and metabolic engineering to optimize production of fertilizers and foods from gases, and enable bioremediation of halogenated environmental contaminants.

Design and Optimization of High Performance Multi-Step Separated Trench 4H-SiC JBS Diode

In this paper, a novel 3300 V/40 A 4H-SiC junction barrier Schottky diode (JBS) with a multi-step separated trench (MST) structure is proposed and thoroughly investigated using TCAD simulations. The results show that the introduction of MST expands the Schottky contact area, resulting in a decrease in the forward voltage drop. Furthermore, the combination of the deep P+ shielded region and the central P+ region effectively reduces the leakage current, leading to a 43.7% increase in the blocking voltage compared to conventional 4H-SiC JBS. The effects of the step depth (ds) and the width of the central P+ region (wm) on the device performance are analyzed in depth. In addition, a multi-step trenched linearly graded field-limiting rings (MTLG-FLR) termination ensures a more uniform electric field distribution, and the terminal protection efficiency reaches up to 90%, which further enhances the reliability of the terminal structure.

광양항 항만배후단지 운영성과와 활성화방안 연구

Purpose: This study analyzes the supply plans and performance of the Gwangyang Port hinterland, and proposes activation strategies based on these findings. Research design, data, and methodology: A review of previous research was conducted to examine the definitions, functional changes, types, and designation criteria of port hinterlands. The current supply plans and development status of the Gwangyang Port hinterland were also analyzed. Results: The results show that while the volume of cargo in the hinterland is increasing, its contribution to the total volume of port cargo remains stagnant. Key issues identified include terminal operator productivity, lack of shipping routes, and excessive competition among logistics companies. Conclusions: The study proposes several activation strategies: improving terminal operator efficiency, enhancing support for high-value-added companies, promoting specialized hinterland areas for lifestyle logistics services, and strengthening the role of the Yeosu Gwangyang Port Authority.

Evaluating the Impact of Private Sector Participation on Operational Efficiency in Container Terminals: A Case Study of Colombo Port

Sri Lanka, strategically located in South Asia, has the potential to become a significant hub for international maritime trade. However, the current port infrastructure, particularly in Colombo, faces capacity constraints that limit its ability to accommodate larger vessels and manage increasing container traffic. This study evaluates the impact of private sector participation on the operational efficiency of Colombo’s container terminals - Jaya Container Terminal (JCT), South Asia Gateway Terminal (SAGT), and Colombo International Container Terminal (CICT). Using Key Performance Indicators (KPIs) and Data Envelopment Analysis (DEA), the study found that private sector involvement significantly enhances terminal efficiency. SAGT, a privately operated terminal, exhibited the highest overall efficiency, while CICT demonstrated the highest productivity. JCT, though publicly operated, showed commendable performance but lagged behind the private terminals. The findings emphasize the value of public-private partnerships (PPPs) in optimizing port operations, offering critical insights for policymakers and stakeholders aiming to strengthen Sri Lanka’s maritime economy.

Priority rules for handling containers to improve energy consumption and terminal efficiency

AbstractThis paper addresses the optimization of the yard crane handling processes in a container terminal to reduce energy consumption and improve overall system performance. More precisely, the paper presents and evaluates different sequencing rules, based on predefined priorities, to organize the rail yard to minimize moves during the rail loading operations. The minimization of overall energy consumption and maximum tardiness are considered, simultaneously assessing these two components of the objective function to better understand how they interact and how they can be optimized together. As a novel issue in optimization, a hill climbing algorithm is implemented, searching for the yard configuration that most improves the efficiency of container handling while being able to integrate different management rules of the terminal. The reference case study is the PSA Pra terminal in Genoa, Italy. A full rail yard with known delivery times, and crane operating along a single stack, is the operative scenario. Random due time sequences are generated during test instances, while technical data of crane are used. Moreover, crane movements involve both loading and unloading along multiple axes. From the results, the best priority rules improve energy consumption and lateness of the initial configuration of the yard by up to 55%, thus allowing the terminal management to reorganize the storage areas accordingly and improve their efficiency. The proposed priority rules bridge the gap between theoretical optimization procedures and container terminal practices.

The ABCF ATPase New1 resolves translation termination defects associated with specific tRNAArg and tRNALys isoacceptors in the P site.

The efficiency of translation termination is determined by the nature of the stop codon as well as its context. In eukaryotes, recognition of the A-site stop codon and release of the polypeptide are mediated by release factors eRF1 and eRF3, respectively. Translation termination is modulated by other factors which either directly interact with release factors or bind to the E-site and modulate the activity of the peptidyl transferase center. Previous studies suggested that the Saccharomyces cerevisiae ABCF ATPase New1 is involved in translation termination and/or ribosome recycling, however, the exact function remained unclear. Here, we have applied 5PSeq, single-particle cryo-EM and readthrough reporter assays to provide insight into the biological function of New1. We show that the lack of New1 results in ribosomal stalling at stop codons preceded by a lysine or arginine codon and that the stalling is not defined by the nature of the C-terminal amino acid but rather by the identity of the tRNA isoacceptor in the P-site. Collectively, our results suggest that translation termination is inefficient when ribosomes have specific tRNA isoacceptors in the P-site and that the recruitment of New1 rescues ribosomes at these problematic termination contexts.

Identifying key factors influencing import container dwell time using eXplainable Artificial Intelligence

In a container terminal, the length of time that containers remain in the yard, known as Container Dwell Time (CDT), is considered one of the significant operational indicators due to its direct correlation with terminal productivity and efficiency. However, due to complex processing procedure and the involvement of various logistics stakeholders, CDT is subject to high uncertainty, making it more difficult for the terminal to manage. To address this issue, this paper presents a comprehensive framework to identify the Key Factors (KFs) influencing prolongation of CDT for import containers. In order to elucidate abnormal cases from dataset which contains yard loading information, the Process Mining (PM) method is utilized. Subsequently, XAI has been utilized to identify the KFs of import CDT. To reflect reality as closely as possible, we collected event data from a container terminal in Busan, Korea. Based on experiments, the KFs thus identified were: 1) Temperature, 2) Weight of container, 3) Voyage number of container 4) Block, 5) Shipping company, and 6) Month of discharging. To conclude, we formulated domain knowledge-based interpretations of the six most influential KFs.

Expanding the dose window of step-etched space-modulated JTE for ultrahigh voltage 4H-SiC devices

A step-etched space-modulated junction termination extension (SE-SM-JTE) is proposed for ultrahigh voltage (≥10 kV) 4H-SiC devices in this work. The proposed structure creates a stepped effective JTE dose profile by introducing the step etching into space-modulated JTE (SM-JTE), which shows great merits in the compromises of the JTE dose window, termination efficiency, termination area, and the complexity of the fabrication process. According to the TCAD simulation results, the SE-SM-JTE with a length of 300 μm (3 times the drift layer thickness) obtains a wide implantation dose window of ±47 % above 12 kV, achieving a wide tolerance to JTE dose and surface fixed charge. The maximum breakdown voltage (BV) of the proposed SE-SM-JTE is 13.8 kV, exhibiting a termination efficiency of 92 %. Moreover, the proposed JTE structure requires only a single ion implantation and subsequent two etchings, which facilitates the fabrication feasibility in ultrahigh voltage 4H-SiC devices.

Evaluating Vietnam's container terminal efficiency considering carbon neutrality

This paper aims to assess container terminal (CT) efficiency with the effect of carbon neutrality. Among mechanisms to achieve carbon neutrality in CTs' operations, emission taxes are deemed the most preferred tool to internalize the external costs associated with greenhouse gas emissions by placing a financial burden on polluters. This paper first uses cluster analysis to determine the homogeneous decision-making units (DMUs), i.e., container terminals. A novel approach is proposed to determine the level of emission taxes that DMUs should be levied based on how much CO2 they discharge. Since emission taxes are an undesirable output from the operations of CT operators (CTOs), the Slacks-based Measure Data Envelopment Analysis (SBM-DEA) model is thus employed to incorporate the emission taxes into the research model and to determine the optimal emission taxes for CTOs. Finally, the CTOs in Vietnam (hereafter the VN-CTOs case) are empirically surveyed to verify the proposed model. The proposed research framework can contribute a methodological reference toward the relevant literature in achieving carbon neutrality. Further, the empirical results can provide practical information for the Vietnamese CTOs to improve their CT efficiency.

The screening of iron oxides for long-term transformation into vivianite to recover phosphorus from sewage

The reducibility of iron oxides, depending on their properties, influences the kinetics of dissimilatory iron reduction (DIR) during vivianite recovery in sewage. This study elucidated the correlation between properties of iron oxides and kinetics of DIR during the long-term transformation into vivianite, mediated by Geobacter sulfurreducens PCA and sewage. The positive correlation between surface reactivity of iron oxides and reduction rate constant (k) influenced the terminal vivianite recovery efficiency. Akaganeite with the highest adhesion work and surface energy required the lowest reduction energy (Ea), obtained the highest k of 1.36 × 10–2 day-1 and vivianite recovery efficiency of 43 %. The vivianite yield with akaganeite as iron source was 76–164 % higher than goethite, hematite, feroxyhyte, and ferrihydrite in sewage. The distribution of P with akaganeite during DIR in sewage further suggested a more efficient pathway of direct vivianite formation via bio-reduced Fe(II) rather than indirect reduction of ferric phosphate precipitates. Thus, akaganeite was screened out as superior iron source among various iron oxides for vivianite recovery, which provided insights into the fate of iron sources and the cycle of P in sewage.

Analyzing Tanker Ship Berthing Delays at Pertamina Refinery Unit II Dumai Terminal

This research investigates the causes and mitigation strategies for tanker ship berthing delays at the PERTAMINA Refinery Unit II Dumai special terminal. The study identifies key issues including dock capacity limitations, adverse weather conditions, insufficient land tank storage, and restrictions on night-time berthing. Data were collected through qualitative research and descriptive analysis involving observations, interviews, and documentation from August 2023 to August 2024. Findings reveal that limited dock capacity and adverse weather significantly contribute to delays, while storage limitations and night-time restrictions further exacerbate the problem. The research highlights the need for dock capacity expansion, improved weather forecasting, enhanced storage management, and safe night-time operational practices. Recommendations include infrastructure upgrades, advanced technological investments, and flexible operational strategies to address these challenges. The study provides valuable insights for improving terminal efficiency and offers a foundation for future research and practical applications in maritime logistics