Internal Operations Research Articles

Counterinsurgency Operations in the Second District of Sorsogon: Basis for Sustainable Development

Throughout history, insurgency has been a persistent phenomenon, its origins stemming from various factors such as political, economic, social, and ethnic grievances that drive certain factions or individuals to take up arms in resistance. This study determined the status of COIN operations in terms of Legal basis, Manpower, Financial resources, Logistical resources, and Accomplishments from 2021 to 2023. Likewise, this evaluates the COIN operations of the unit along with the conduct of Internal Security operations, Intelligence operations, and Police Community Affairs and development to determine challenges that were encountered by the personnel. The respondents of the study are the PNP personnel, barangay officials, and former rebels. The counterinsurgency framework presents a comprehensive and strategic approach to addressing insurgency threats, with the potential to significantly enhance the conduct of counterinsurgency operations. The findings underscore both the acknowledged strengths and identified areas for enhancement within police operations, as reported by respondents from the PNP. This shows a widespread acknowledgment of the pivotal role of the ISO in upholding internal security and addressing insurgent challenges. It signifies a mutual understanding among diverse stakeholders, encompassing barangay officials, former rebels, and law enforcement personnel, regarding the necessity of proactive strategies to prevent, interrupt, and counter-insurgency operations within impacted localities. Overall, the proposed framework offers a promising strategy for countering insurgency threats and advancing the goals of peace, stability, and security in affected regions.

أثر التخطيط الاستراتيجي في تحسين أداء البنوك: دراسة ميدانية في البنوك العاملة في العاصمة صنعاء- اليمن

The study aimed to determine the impact of Strategic Planning in its dimensions (environmental analysis, strategic direction, strategy formulation), in improving the of banks operating in Yemen in the capital Sana'a performance its dimensions (customers dimension, internal operation, learning and growth, financial dimension). The study also aimed to determine the level of banks. practice of strategic planning and measurS the level of improvement of their performance in which the study used the descriptive approach with its analytical methods. The field survey of the study population was carried out through the study tool(Questionnaire), according to the stratified random sample method, and determine the study population from the Head qurters of the main banks operating in Yemen in the capital Sana'a (17 banks), where (14banks) responded to the procedures of the field study, the target community will be (401 individuals), in which (401 questionnaires), were distributed which (340) were recovered, of which (17 questionnaires) were unanalyesble, and the (323 questionnaires) were analyzed using The program (spss26) and (AMOS26) to analyze the study data and test its hypotheses the study found that the level of strategic planning practiceD in banks operating in Yemen in Sana'a in general is (average) and improve its performance in general (high) in all its dimensions, and that there is a positive impact of strategic planning in improving the performance of banks operating in Yemen in the capital Sana'a, The study recommends strengthening the practice of strategic planning in banks operating in Yemen in the capital Sana'a, in a broader manner and in all its dimensions and focusing on aspects that improve their performance continuously.

Enterprise Financial Risks: Take Amyris Inc. as an Example

In today's economic environment, companies will face all kinds of risks, including environmental, political, financial pressure and other risks. If the internal management of the company cannot accurately predict the risk and take appropriate measures to deal with the risks, the company will have financial risks and face the consequences of bankruptcy. In order to help companies with early warning, analysis and dealing with financial risks, it is essential to take a specific company as a case study to deeply understand financial risk. This paper collects indicators in the financial statements of Amyris Inc. from the year 2018 to 2022, uses the Z-score model to evaluate the bankruptcy probability of the company from the year 2018 to 2022, analyzes the internal operation situation of Amyris company, the causes of the internal financial risks of the company, and provides corresponding suggestions for the subsequent restructuring of the company on this basis.

Proposition of optimal self-curing method in horizontal-floating gate FET-type gas sensors for reliability improvement

Gas sensing technology has seen rapid advancements in recent years, finding applications in air quality monitoring, food freshness inspection, and medical diagnosis. However, to successfully integrate gas sensors into these applications, it is crucial to ensure their stability and long-term reliability. While previous studies have primarily focused on improving response, sensitivity, and selectivity, there has been limited research on enhancing their reliability. This study aims to address this gap by proposing a method to improve the reliability of horizontal floating-gate FET-type gas sensors using a self-curing approach. When the sensor is exposed to the repetitive program/erase operation, the FET transducer used as a sensor platform is damaged by the Fowler-Nordheim tunneling-induced stress. A significant increase in the trap density inside the gate oxide is observed after the P/E cycling. The parasitic bipolar junction (PBJT) inherent to the FET transducer flows a large current via the entire channel, generating a Joule heat. The trap is decreased by the annealing effects of the Joule heat, and the damaged gate oxide is fully recovered by the curing. The proposed PBJT curing can effectively improve the reliability of the sensor using the internal operation of the FET transducer without using bulky external equipment.

EFFECT OF ENVIRONMENTAL MARKETING ON CHANGE IN MARKET SHARE: MODERATED MEDIATION OF INTERNAL GREEN MARKETING ORIENTATION AND STRATEGIC GREEN MARKETING ORIENTATION

The study is conducted to examine the influence of environmental marketing on changes in market share. Specifically, it aims to explore the intricate functions of internal green marketing orientation and strategic green marketing orientation as possible moderated mediators. Based on the expanding domain of green marketing and sustainable business practices, this study suggests that the impact of environmental marketing on market share is contingent upon a firms internal green marketing orientation. Furthermore, the efficacy of this mediation is dependent on the firms strategic stance towards green marketing. The study applies regression modelling to examine the claimed links, using a sample of 150 enterprises across various industries. The findings suggest that organisations that possess a strong internal green marketing orientation see an upward trend in terms of market share. The aforementioned findings highlight the significance of incorporating internal and strategic green marketing strategies with environmental marketing endeavours. In order to optimise market share growth through environmental marketing, it is crucial for organisations to establish a comprehensive alignment between their internal operations and strategic green initiatives. This research provides significant insights for managers and marketers who seek to utilise environmental activities as a means to gain a competitive edge in the market. It emphasises the need of adopting a unified and internally coherent strategy to green marketing. KEYWORDS: Environmental marketing, Internal green marketing orientation, Strategic green marketing orientation, Market share, Sustainable business practices, Competitive advantage

Net-zero carbon configuration approach for direct air carbon capture based integrated energy system considering dynamic characteristics of CO2 adsorption and desorption

Direct air carbon capture (DAC) is a promising negative carbon technology to balance unavoidable carbon emissions from distributed sources. Deploying DAC into the integrated renewable energy system provides an effective way to achieve regional carbon neutrality. Developing a reasonable configuration approach for the DAC-based integrated energy system (IES) is the premise to ensure the stable, flexible, economic and net-zero carbon operation. However, DAC system captures CO2 from the air through adsorption and desorption with a much lower respond speed than other energy generation, conversion and storage equipment in the IES. Meanwhile, the CO2 adsorption/desorption rate varies significantly with time, making the energy consumption of DAC does not fully correspond to the amount of CO2 being captured. Conventional steady-state IES configuration methods fail to reflect such characteristics of the DAC, which may lead to non-optimal or even infeasible configurations. To this end, this paper develops a configuration-oriented dynamic model for the DAC process to correctly reflect the energy consumption characteristics under given internal operating conditions and the variations of the CO2 adsorption/desorption rate over time. The DAC model is embedded into the configuration framework of the DAC-based IES, formulating a novel configuration approach that optimizes the investment, operation and maintenance, carbon reduction and renewables utilization performance. The optimal capacity of DAC and the corresponding time periods for adsorption, desorption and shutdown operation in typical scenario are determined, revealing the coordinated manner of DAC system with other devices within the IES. Case studies demonstrate the effectiveness of the proposed configuration approach, which can meet the carbon neutral target with the lowest economic cost. Further comparisons also verify the advantages of flexible operation of the DAC system to achieve better coordination with renewable generations and more efficient CO2 capture.

Application of FinTech in Digital Banking Operations in the Information Age

Abstract In recent years, the rapid development of FinTech has attracted widespread attention globally. It not only brings unprecedented challenges to the financial industry, but also inspires significant reforms and innovations in banks’ internal operations. In this paper, based on the support of fintech, the Harris Hawk algorithm is used to optimize the GRU algorithm to construct an efficient digital operation system for banks. This system focuses on improving and enhancing the operation work of different business areas within the bank. After applying this system, the bank has combined fintech with risky operational work, resulting in an average capital adequacy ratio of 12.97, which is strong evidence of the bank’s high affordability in risk management. In addition, the banks’ efficiency of technological advancement grew at an average annual rate of 0.4%, which is the most significant change, showing a trend of growth in tandem with total factor productivity. The scale efficiency has an average annual growth rate of 0.5%, which further demonstrates the system’s significant effectiveness in enhancing banks’ operational efficiency. The system proposed in this paper can effectively promote the digitization process of bank operations and significantly improve banks’ operational efficiency and risk management capability.

Research on Comprehensive Evaluation Model of Supply Chain and Logistics Performance Based on Economic Management

Abstract The establishment of a scientific and comprehensive comprehensive evaluation model of logistics performance is of great significance to enhance the cost reduction and efficiency of enterprises and market competitiveness. The research constructs a supply chain and logistics performance evaluation model based on supply chain management and logistics performance and performance evaluation with the help of a balanced scorecard, hierarchical analysis method, and fuzzy comprehensive evaluation method. The supply chain and logistics performance evaluation index system is then weighed and analyzed. The experimental object for investigating the evaluation effect of the constructed supply chain and logistics performance evaluation index system is Y Logistics Company. In the proposed supply chain and logistics performance evaluation index system, the weight of internal operation and customer dimension accounts for 61.2%. Y Express Company’s logistics performance evaluation from 2016 to 2020 shows a steady increase. The increase in customer dimension from 1.54 in 2016 to 9.47 in 2020 was the biggest increase among all indicators. Finally, Company Y performs better in the customer dimension, financial dimension, and internal operation, and its indicators of learning and development and social responsibility score lower. Company Y should increase its logistics digital learning and technological innovation and take the initiative to assume social responsibility.

Can Digital Transformation Enhance Quality of Digital Services & Internal Operations: Evidence from the Egyptian Tax Authority

Can Digital Transformation Enhance Quality of Digital Services & Internal Operations: Evidence from the Egyptian Tax Authority

Hunting for Creativity

Science communicators, including journalists and experts in the field of public relations in science, are often seen as an external and optional addition to the scientific community. Their influence on scientific practices and public perception of science is often underestimated, and their role is understood as a technical one: as a simple retelling of scientific research in a language understandable to the public. In this paper, using the example of such a criterion as “creativity”, we propose to reconsider the role of science communicators more broadly. The paper shows that it is science communicators, rather than representatives of the scientific community, who should be the primary subjects of evaluating articles according to the criterion of creativity. The authors argue that the creativity of scientific research is an essential element in the development of science as a social phenomenon, rather than just a component of its internal operation. Science communicators are not considered as “external” actors in relation to science – their work has a significant impact on the fundamental criteria for scientific success, such as the establishment of scientific reputation, and influences the perception of science among the general public. They do not just describe research, they form ideas about the value aspects of science in society and influence the image of science, which is broadcast into the public space, selecting articles according to certain criteria that are not always the most significant in science, endowing scientific results with a special, socially relevant significance that is not explicitly presented in the texts of scientific articles. The activities of science communicators can influence the funding and development of a scientific field, its public and government support, its popularity among applicants, students and young scientists – and, consequently, the quality of scientific personnel involved in this field. In fact, science communicators turn out to be key architects of public, and often intrascientific, ideas about science and various scientific fields.

Revisitando e comparando o Ciclo de Carnot e o Ciclo Otto

The reversibility of the Carnot Cycle makes it the most efficient thermodynamic cycle to convert energy as heat into work operating between two thermal reservoirs at different temperatures. The Otto cycle represents an idealization of the processes in the spark-ignition 4-stroke internal combustion engine operation. Some aspects of these two crucial thermodynamic cycles will be presented here in a comparative manner. This highlights why the Carnot Cycle does not offer advantages over the Otto Cycle in the operation of real thermal engines when we consider the efficiency and work done per cycle dependent on the compression ratio of the cycles.

Security Implications of Using the Military in Maintaining Peace through Internal Security Operations, a Case of Central Equatoria State—Juba

Security Implications of Using the Military in Maintaining Peace through Internal Security Operations, a Case of Central Equatoria State—Juba

Analysis of internal combustion engine operating modes in urban passenger transportation

This article briefly presents the results of the analysis of internal combustion engine operation modes (on the example of the fleet of buses of LIAZ brand) on the basis of accumulation of digital operation data received from on-board cyber-physical systems, and also gives examples of the results of the performed research and determines the further direction of research. The purpose of this article is to describe the methodology of data formation for further analysis when evaluating the efficiency of internal combustion engine with pneumohydroaccumulator in the conditions of urban passenger transportation. Keywords internal combustion engine, pneumohydroaccumulator, sliding bearing, operation mode

Research on the Influence of Operator Fatigue Factors on Port Service Capability Based on Discrete System Simulation

With the continuous and stable development of the global economy, ports play a vital role as cargo transhipment hubs. Among them, the human factor of the operators in the port plays a decisive role in the port service ability. In order to explore the specific effects of different fatigue states of the quay bridge, yard bridge, and internal truck operators in the traditional container terminal on the port’s service capacity, seven test schemes are proposed, and computer simulation methods are used to build a simulation model of the terminal. Through a large number of simulation tests, it is concluded that the fatigue of different equipment operators has different effects on the operation efficiency of the terminal. If the three operators are fatigued at the same time, the operation efficiency of the terminal will be reduced by 17.27%, which will have a very negative impact on the overall operation of the terminal. Therefore, optimizing the scheduling of operators and avoiding fatigue operations will improve the port’s service capacity.

Vibro-Inertance Matrix Supported OCF Characteristics Analysis of PMSM Under Multiple Operating Conditions for EV

Vibration analysis of converter-fed motor for electric powertrain is a much-needed technology for electric vehicle industry, which plays an important role in the noise, vibration, harshness (NVH) optimization design, fatigue monitor, fault diagnosis, and life prediction. The characteristics of the internal operating condition force (OCF) for the propulsion motor of electric vehicles under multiple operating conditions (MOC) were investigated by using the proposed vibro-inertance matrix theory (VIMT) in this paper. The complete analytical expansion of vibro-inertance matrix ofthe statorcomponentwas firstly derived, and a mathematical analytical testing model of OCF was established. The OCF of the 21kW prototype was measured under MOC, and the spectra of the mechanical and electromagnetic OCF of the prototype were fully secured via Brüel & Kjær 4520 3D acceleration sensors and Brüel & Kjær multi-purpose input modules. The vibration and fatigue sources under MOC were revealed through the source path contribution (SPC) analysis method. Finally, the proposed VIMT measurement and analysis method of OCF were verified by both finite element simulation and experimental verification.

Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection.

In a previous paper, we have shown that a recurrent neural network (RNN) can be used to detect cellular network radio signal degradations accurately. We unexpectedly found, though, that accuracy gains diminished as we added layers to the RNN. To investigate this, in this article, we build a parallel model to illuminate and understand the internal operation of neural networks (NNs), such as the RNN, which store their internal state to process sequential inputs. This model is widely applicable in that it can be used with any input domain where the inputs can be represented by a Gaussian mixture. By looking at RNN processing from a probability density function (pdf) perspective, we are able to show how each layer of the RNN transforms the input distributions to increase detection accuracy. At the same time we also discover a side effect acting to limit the improvement in accuracy. To demonstrate the fidelity of the model, we validate it against each stage of RNN processing and output predictions. As a result, we have been able to explain the reasons for RNN performance limits with useful insights for future designs for RNNs and similar types of NN.

Application of Balanced Scorecard in Performance Evaluation of Educational Management

Abstract Good or lousy school education management is closely related to students’ growth, so research on the improvement of education management performance has become a hot topic. Taking School H as an example, this study utilizes the balanced scorecard to construct a system for evaluating school education performance at four levels: financial, customer satisfaction, internal operation processes, and learning and growth. Based on this basis, the weights of the educational management performance evaluation indicators at all levels are calculated by combining the entropy method and hierarchical analysis method, and the comprehensive evaluation scores of all indicators are derived. In addition, the multiple concurrent causal relationships and realization paths of the high-level development of educational management are also explored using the qualitative comparative analysis model. The results show that the evaluation score of educational management quality is 4.108, and the scores of each dimension of the secondary indexes are 4.102, 4.05, 4.13, and 4.15, respectively, which are above 4, indicating that the quality of educational management in the sample universities is good. This study provides the implementation steps of balanced scorecard performance evaluation for colleges and universities and, at the same time, provides a reference for other colleges and universities’ performance evaluations.

A Comparative Study on Financing Efficiency of Media Companies Listed in China and America

Abstract The media industry has become a new growth point in China’s economic development since the 21st century. However, due to the imperfections of China’s media capital market and other problems, the media industry faces financing constraints. The media industry in China is facing financing constraints as a result of the domestic media capital market’s imperfections and other issues. To compare the financing efficiency difference between domestic and U.S.-listed media companies, this paper selects 34 domestic and 16 U.S.-listed media companies as research samples. The three-stage DEA model is used to empirically analyse the samples. The results show that the financing efficiency of U.S.-listed media companies is higher than that of domestic listed media companies. The paper also looks at how to improve the financing efficiency of domestic listed media companies from both the external market environment and the internal operation level. From the viewpoint of the external market environment and internal operating levels of enterprises, the study proposes relevant countermeasures to improve the financing efficiency of domestic listed media companies.

Analysis of total quality management (TQM) implementation in the biotechnology industry

Over the past two decades, the relevance of the Total Quality Management (TQM) model has increased significantly. TQM is becoming increasingly popular as organizations focus more on improving the quality of their products, services, and internal operations to increase customer value and gain competitive advantage. Organizations from the biotechnology sector play a significant role in the development of the national economy, the social sphere and employment. In such a situation, they face strong competitive advantages of competitors from all over the world, such as low costs and high productivity. The change in the amount of added value alone over the last 10 years leads to an increase of 35.2% per year. In 2009 is BGN 12 million, and in 2019 is BGN 208 million. That is why it is critical for them to improve their organizational performance through the Total Quality Management (TQM) approach. The purpose of this paper is to analyze the individual components of TQM in organizations from the field of biotechnology and food industry and to determine its model in terms of engineering activities. Pre-designed questionnaires were used as a data collection instrument in the present study. Conducting semi-structured interviews with team leaders in a biotech manufacturing organization provides insight into the impact of TQM on competitiveness. These elements, leadership skills and supplier/customer relationships have been found to play an important role in improving overall performance.

Face Recognition System Based on Capsule Networks

Abstract This study introduces a technique for facial recognition according to capsule networks. The system utilizes the advantages of capsule networks to model the face features in the image hierarchically, and realizes the efficient recognition of faces. First of all, we know the difference between the capsule network and the convolutional neural network through the study of the operating principle and the structure of the capsule network. Secondly, the Capsule Network is realized through deep research on the algorithm for dynamic routing and the internal operating principle of the capsule. Finally, by conducting experiments on the face dataset and optimizing it with the Adam optimization algorithm as well as the boundary loss and reconstruction loss, the capsule network is promoted to learn more robust feature representations to obtain better face recognition results. The experiments show that the face recognition system based on capsule network can reach 93.5% correct rate of evaluation on WebFace dataset, which achieves a high recognition accuracy. The final results demonstrate the feasibility and effectiveness of capsule networks for face recognition.