Alternative Solution Research Articles

Delivery routing for a mixed fleet of conventional and electric vehicles with road restrictions

The enforcement of stringent regulations capping carbon emissions has prompted city logistics enterprises to substitute electric vehicles (EVs) for conventional vehicles (CVs). For city logistics enterprises with a mixed fleet of CVs and EVs, this study investigates the delivery routing problem with road restrictions (DRPRR) for accessible time windows and bearing weight. We formulate the DRPRR as a mixed integer programming model to minimise the total operations cost. The model consists of the set-up cost of CVs and EVs, the diesel cost of CVs, the electricity cost of EVs, the carbon tax cost, and the penalty cost of vehicles waiting for roads to be accessible. To effectively solve the model, an adaptive large neighbourhood search (ALNS) algorithm is developed that consists of tailored destroy and repair operators with two alternative solution acceptance criteria. Numerical experiments are conducted to validate the effectiveness of the proposed model and ALNS algorithm. In small-scale instances, the ALNS with the Metropolis criterion finds the best solutions for 41 of 48 instances while maintaining a deviation of less than 2.5% from CPLEX in the remaining 7 instances, and its running time is significantly shorter than CPLEX. In large-scale instances, the ALNS with the Metropolis criterion has stronger solving ability and better stability than benchmark algorithms (i.e. GA-LS, LNS, and ALNS with a threshold acceptance criterion). We also address a real-world case and conduct a sensitivity analysis to provide useful managerial insights. Specifically, implementing road restrictions on accessible time windows and the carbon tax policy simultaneously is more appropriate from the comprehensive perspective of market activity and carbon emissions.

Vegetative Growth Response of Rice in Heavy Metal Contaminated Soil Due to NPK Fertilizer Based Ameliorant Application

Heavy metal pollution in paddy fields has been recognized as a global environmental problem that must be addressed. Exposure to heavy metals causes stunted growth of rice plants. A safe and environmentally friendly approach is done through the use of a combination of ameliorants and inorganic fertilizers. NPK Co-Ameliorant fertilizer is an innovation in bio-agent multifunctional fertilizer production technology that is expected to be an alternative solution to the widespread pollution of rice fields by industrial waste. This study aims to examine the effect of NPK Co-Ameliorant fertilizer on vegetative growth of rice plants on industrial waste polluted soil. The research was conducted in a greenhouse with soil media from Jelegong village, Rancaekek which was polluted with heavy metals. The research period was from September 2023 to February 2024. The experimental design used a Randomized Group Design with eight treatments, four replications and two units consisting of: 0 (control); NPK Phonska 225 kg ha-1; and various doses of NPK Bio-Organomineral fertilizer 150; 250; 350; 450; 550; 650 kg ha-1. The results showed that the application of NPK Co-Ameliorant fertilizer effectively increased rice plant height, number of tillers, chlorophyll content and plant biomass weight. The dose of NPK Co-Ameliorant fertilizer 350 kg ha-1 was the best dose in increasing the height of rice plants reaching 95,63 at 70 DAP, increasing the chlorophyll content of plants by 24.20 CCI and increasing the dry weight of plants reaching 33,98 g.

SISFORMA as Student institutional Communication Media at Polimedia

Polimedia has to manage the student organization activities at its campuses in Jakarta, Medan, and Makassar. PKM, P2MD, NPEO, KMIPN, and PC-Fest are examples of students’ events and competitions that need to be communicated. Student organizations such as BEM, MPM, HIMA, and UKM also need to communicate with the student affairs managers. For this reason, student institutional communication media is needed. This paper aimed to create student institutional communication media in the form of student information systems in Polimedia. The research method used is mixed, combining qualitative, and quantitative research. The research stages carried out are (1) analysis/inventory of needs, (2) alternative solutions, (3) making communication flows, (4) making information systems, (5) initial trials and expert judgment, and (6) conclusions. Student information system or Sisforma is the answer to the needs of communication media between students, student organizations, and Polimedia student affairs.
 Keywords: student affairs, student organization, communication media, information system

Artificial neural network (ANN) modelling to estimate bubble size from macroscopic image and object features

Bubble size measurements in aerated systems such as froth flotation cells are critical for controlling gas dispersion. Commonly, bubbles are measured by obtaining representative photographs, which are then analyzed using segmentation and identification software tools. Recent developments have focused on enhancing these segmentation tools. However, the main challenges around complex bubble cluster segmentation remain unresolved, while the tools to tackle these challenges have become increasingly complex and computationally expensive. In this work, we propose an alternative solution, circumventing the need for image segmentation and bubble identification. An Artificial Neural Network (ANN) was trained to estimate the Sauter mean bubble size (D<sub>32</sub>) based on macroscopic image features obtained with simple and inexpensive image analysis. The results showed excellent prediction accuracy, with a correlation coefficient, R, over 0.998 in the testing stage, and without bias in its error distribution. This machine learning tool paves the way for robust and fast estimation of bubble size under complex bubble images, without the need of image segmentation.

Wearable sensor-based on exercise monitoring system for disabled the individuals using a multi-attribute fuzzy evaluation mode

Recently, there has been a lot of interest in using the wearable sensors for tracking the exercise progress because of the unbiased accuracy and precision they are provided throughout the continual monitoring. For those with physical impairments, the system’s non-intrusive, lightweight ways of the monitoring activity may ease their load and enhance the quality of their decision-making. As a different measuring unit measures the exercise activity levels recorded by the each wearable sensor, it is challenging to assess the monitoring system. Hence, this paper proposes a Hybridized Fuzzy Multi-Attribute for Exercise Monitoring System (HFMA-EMS) to address the uncertainty issues of the wearable sensors. The Triangular Fuzzy membership function is proposed to begin classifying the observed values. Pair-wise attribute comparison and evaluator weighting in a T-spherical uncertain linguistic set setting utilizing the Techniques for Ordering of Preferences by Similarities to Ideal Solutions (TOPSIS). In the suggested method, a utility function is used to assess the merits of a model in which attribute the weights are calculated, followed by an exercise in which the attributes are ordered employing the Measurements of the Alternative and Ranking Compromise Solutions model (MARCOS). The performance is performed to analyze the proposed method’s accuracy, precision, recall, f1-score, and correct and incorrect exercise assessment by an accelerometer, gyroscope, and magnetic field sensor unit. The application scenario of the HFMA-EMS can be used in the clinical applications, healthcare management, and sports injury detection.

Construction of a Novel Semiautomated Electrochemical Sensor Array Platform and Its Application in Multiplexed Monitoring of Antibiotic Therapy.

At present, traditional analytical methods suffer from issues such as complex operation, expensive equipment, and a lengthy testing time. Electrochemical sensors have shown great advantages and application potential as an alternative solution. In this study, we proposed a novel semiautomated electrochemical sensor array (SAESA) platform. The sensor array was fabricated using screen-printed technology with a tubular design where all electrodes were printed on the inner wall. The integration of the tubular sensor array with a pipet allows for a semiautomated process including sampling and rinsing, which simplifies operation and reduces overall time. Each working electrode in the tubular sensor array underwent distinct decoration to get specific sensing responses toward the target analytes in a mixture environment (e.g., blood samples). To demonstrate the applicability of the developed sensing platform for simultaneous multianalyte detection, we chose antibiotic treatment for inflammatory infection as a model scenario and continuously measured three biomarkers, namely, tigecycline (TGC), procalcitonin (PCT), and alanine aminotransferase (ALT). The detection limits were 0.3 μM, 0.3 ng/L, and 2.76 U/L, respectively. The developed semiautomated electrochemical sensor array exhibits characteristics such as rapid and simple operation, portability, good selectivity, and excellent stability.

BRIDGING GAPS: ADDRESSING TREATMENT CHALLENGES WITH ORAL PGE2 IN DUCTUS-DEPENDENT CONGENITAL HEART DEFECTS

circulation. During fetal development, it diverts approximately 90% of the right ventricular output from the high-resistance pulmonary circulation to the umbilical-placental circulation for gas exchange with maternal blood. After birth, the ductus arteriosus usually shuts within 72 hours to help with lung circulation. Failure to close leads to a persistent left-to-right shunt known as patent ductus arteriosus (PDA). PDA affects up to 80% of premature infants and constitutes 5–10% of all congenital cardiac abnormalities in term infants. Hemodynamically significant PDA is associated with various morbidities, including neurodevelopmental impairment and respiratory distress syndrome (Slaughter et al., 2019). Conversely, in ductus-dependent heart lesions, which account for 20–25% of all congenital heart defects, it is crucial to maintain patency of the neonatal DA to uphold life-saving pulmonary or systemic circulation before corrective surgery (Subramaniam and Solomon, 2013). Treatment for closing patent ductus arteriosus (PDA) mostly involves nonsteroidal anti-inflammatory medicines (NSAIDs) such as indomethacin and ibuprofen, which block cyclooxygenase enzymes necessary for prostaglandin production. Although effective, NSAIDs carry dangers such as renal impairment and intestinal problems. Acetaminophen is considered a safer option, although its effectiveness in premature infants is unclear because it may not fully inhibit prostaglandin synthesis. However, few medications exist for preserving ductus arteriosus (DA) patency, with prostaglandin E1 (PGE1) being the sole pharmacological option despite its associated side effects, such as peripheral vasodilation, apnea, fever, and physiological disturbances (Sear, 2019). Furthermore, the shortage of PGE1 in certain countries like Pakistan highlights the urgent need for alternate solutions. In such situations, adopting other available choices like PGE2, which is accessible in Pakistan as an oral drug, becomes crucial for the efficient management of ductus-dependent congenital heart anomalies. Prostaglandin E2 (PGE2) has been successfully utilized orally in newborns with ductus-dependent cyanotic congenital heart disease. In research by Silove et al., PGE2 was supplied orally in doses ranging from 12 to 65 micrograms/kg at 1 to 4 hours intervals. This treatment regimen resulted in consistent increases in oxygen saturation (SaO2) and plasma PGE2 concentrations within 15-30 minutes after administration, equivalent to those achieved with intravenous infusions. Treatment lasted for durations ranging from 5 days to 4 months, during which the ductus remained open for extended periods, allowing for delayed surgical intervention to support the growth of the infants and their pulmonary arteries. While adverse effects during oral medication were similar to those found with intravenous administration, they were generally less severe in this series, underlining the effectiveness and simplicity of oral PGE2 administration for long-term treatment (Nabavi et al., 2019). Furthermore, a 1987 study by B.D. Thanopoulos et al. supported the effectiveness of oral PGE2 in the treatment of neonates with cyanotic congenital heart disease, which primarily depends on the ductus. The data from this investigation revealed that oral PGE2 treatment, while less productive than intravenous infusions, nonetheless proved useful for long-term therapy, affording more convenience and lower morbidity (Fernández-Francos et al., 2021). It is crucial to highlight that side effects such as apnea and hypotension may occur in newborns following PGE2 therapy and require close monitoring during treatment. In conclusion, oral PGE2 offers a viable alternative for addressing congenital heart defects in resource-limited countries like Pakistan. Its effectiveness and convenience make it a viable choice, especially if access to injectable drugs is limited. This underlines the necessity to investigate alternative treatments for appropriate care in such circumstances.

Obligation to Submit Tax Data and Information From Agencies, Institutions, Associations, and Other Parties To Maintain The Authority of Law and The State

Law Number 28 of 2007 concerning the Third Amendment to Law Number 6 of 1983 concerning General Provisions and Procedures for Taxation and Government Regulation Number 31 of 2012 concerning the Provision and Collection of Data and Information relating to Taxation have regulated that every government agency, institutions, associations and other parties (ILAP), are obliged to provide data and information relating to taxation to the Directorate General of Taxes (DJP), the provisions of which are regulated by Government Regulations. Even though Article 41C of Law No. 28 of 2007 regulates a maximum prison sentence of 1 year and a fine of 1 billion for people who deliberately do not carry out obligations as regulated in Article 35A, in practice the provision of submission of tax data and information from ILAP does not work. properly. To realize the implementation of these obligations, the DJP took another approach through the creation of a Memorandum of Understanding/ Agreement/MoU to a Cooperation Agreement in order to obtain tax data and information from the ILAP. The research study used in writing research methods focuses on and examines the application of rules and norms in positive law. Using Legal Certainty Theory by Gustav Radbruch. The results of the research, what was found was that the implementation of the obligation to submit tax data and information from ILAP did not run in accordance with positive law, namely Article 35A of Law Number 28 of 2007 concerning the Third Amendment to Law Number 6 of 1983 concerning General Provisions and Tax Procedures. . Researchers suggest changes to norms in Article 35A of Law Number 28 of 2007 concerning the Third Amendment to Law Number 6 of 1983 concerning General Provisions and Tax Procedures to include a mechanism for signing a Memorandum of Understanding/Memorandum of Understanding (MoU). /Cooperation Agreement (PKS) as an alternative solution for collecting tax data and information so that legal and state authority can be maintained.

On the Use of Ultra-WideBand-Based Augmentation for Precision Maneuvering

The limitations of the existing Global Navigation Satellite Systems (GNSS) integrated with Inertial Measurement Units (IMU) have presented significant challenges in meeting the stringent demands of precision maneuvering. The identified constraints in terms of accuracy and availability have required the development of an alternative solution to enhance the performance of navigation systems in dynamic and diverse environments. This paper summarizes the research regarding the integration of ultra-wideband (UWB) technology as an augmentation of the conventional GNSS+IMU system; it proposes an approach that aims to overcome the limitations of conventional navigation systems. By making use of UWB technology, the proposed low-cost UWB-augmented GNSS+IMU system not only fulfils the required performance standards but also offers the unique capability to navigate seamlessly across indoor and outdoor environments. The developed system was validated through comprehensive testing and analysis in both the automotive and maritime sectors. The obtained results highlight the system’s capacity as a dependable and resilient solution for precise navigation, and they promote its use within the domain of accurate maneuvering.

Corrosion and heat-resistant SiCN/C as lightweight fibers for microwave absorption and electromagnetic field shielding in Ku-band

SiCN fibers are usually combined with metals to increase the magnetic loss in electromagnetic field (EMF) shielding, but this results in high weight density, easy corrosion, difficult treatment, and high cost of the material. This study proposes the manufacturing of corrosion and heat-resistant ceramic lightweight fibers containing in-situ synthesized carbon nanostructures (SiCN/C) with excellent EMF shielding in Ku-band (12.4–18 GHz). The samples showed differential trends of EMF shielding effectiveness in terms of reflectance, transmittance, and absorption behavior. Compared to SiCN fibers, the EMF absorption was two times greater when carbon was added to the SiCN matrix. A minimum reflection coefficient (S11) of −12 dB was observed for SiCN/C fibers, meaning a high shielding efficiency with >90 % of the EMF energy shielded. On the other hand, SiCN fibers showed a minimum S11 of −7 dB, resulting in a protection of 80 % against EMF energy. Computational simulations clarified the better features of SiCN/C in electromagnetic shielding compared to SiCN, which was ascribed to enhanced conduction loss derived from conductive free carbon, and dipole and interfacial polarization loss generated by defects. The fibers were resistant to acidic and basic environments and oxidation of up to 600 °C. Moreover, the addition of carbon precursor represented a weight decrease of 17 % for SiCN/C compared to SiCN fibers. This research will afford an alternative solution for the manufacturing of SiCN/C fibers with EMF absorption properties that can be used as lightweight materials in harsh environments.

Improving Sustainability in Urban and Road Transportation: Dual Battery Block and Fuel Cell Hybrid Power System for Electric Vehicles

Improving Sustainability in Urban and Road Transportation: Dual Battery Block and Fuel Cell Hybrid Power System for Electric Vehicles

Fast Power Coefficient vs. Tip–Speed Ratio Curves for Small Wind Turbines with Single-Variable Measurements following a Single Test Run

Small wind turbines (SWTs) face tremendous challenges in being developed into a more reliable and widespread energy solution, with a number of efficiency, reliability, and cost issues that are yet to be resolved. As part of the development stages of an SWT, testing the resulting efficiency and determining appropriate working ranges are of high importance. In this paper, a methodology is presented for testing SWTs to obtain characteristic performance curves such as Cp (power coefficient) vs. TSR (tip–speed ratio), and torque vs. ω, in a simpler and faster yet accurate manner as an alternative energy solution when a wind tunnel is not available. The performance curves are obtained with the SWT mounted on a platform moving along a runway, requiring only a few minutes of data acquisition. Furthermore, it is only required to measure a single variable, i.e., the generator output voltage. A suitable physics-based mathematical model for the system allows for deriving the desired performance curves from this set of minimal data. The methodology was demonstrated by testing a prototype SWT developed by the authors. The tested prototype had a permanent magnet synchronous generator, but the methodology can be applied to any type of generator with a suitable mathematical model. Given its level of simplicity, accuracy, low cost, and ease of implementation, the proposed testing method has advantages that are helpful in the development process of SWTs, especially if access to a proper wind tunnel is prevented for any reason. To validate the methodology, Cp vs. TSR curves were obtained for an SWT prototype tested under different test conditions, arriving always at the same curve as would be expected. In this case, the test prototype reached a maximum power coefficient (Cp) of 0.35 for wind velocities from 20 to 50 km/h for a TSR of 5.5.

Towards accurate keyspace analysis of chaos-based image ciphers

AbstractIn recent years, there has been a surge in new chaos-based cryptographic algorithms, many of which claim to have unusually large keyspaces. Although cryptographic primitives such as symmetric-key ciphers should have a secret keyspace large enough to resist brute force attacks, simply increasing the size of a secret key may not lead to improved security margins. An n-bit key may not necessarily have a keyspace of $$2^n-1$$ 2 n - 1 due to the key scheduling algorithm or how the key is used. In this paper, we cryptanalyse several chaos-based algorithms from the perspective of their key schedules. Our numerical analysis is based on the known-plaintext attack model, Kerckhoff’s principle and considers the number representations used for real number computation. Our analysis reveals that the actual security margins for these ciphers are significantly lower, some by a factor of over $$2^{100}$$ 2 100 than what was claimed. We then provide accurate keyspace estimates for these ciphers. Finally, we highlight alternative solutions for how secret keys can be used in the context of chaos-based cryptography and propose a simple key schedule as a proof of concept. Despite its simplicity, the proposed key schedule not only ensures that the keyspace matches the key length but also passes both the NIST and ENT statistical test suites, making it a viable option for generating secure cryptographic keys. Our work contributes towards addressing one of the fundamental problems in chaos-based cryptography that limits its real-world impact and reputation within the cryptographic community.

Improving the performance of bentonite-free water-based mud with lignin-based biopolymer

Various drilling problems are associated with bentonite utilization in water-based muds, including formation damage, reduced production rate and overall cost. Various alternative solutions in terms of bio and synthethic based polymers have been tested to replace bentonite. However, due to their higher costs and availability, industry is looking for ecofriendly alternatives to overcome this issue. This work aims to utilize a lignin-based polymer (BioDrill FM400) for the formulation of bentonite-free mud blends with various dosages. The rheological and filtration properties were examined using the API standard procedures both at standard and high-temperature conditions. Seven mud blends with various dosages of the additive (0-12 ppb) were prepared, and mud’s plastic viscosity, yield point and gel strength were measured using viscometer. Similarly, mud filtration characteristics were assessed both with API and HPHT filterpress. Three types of rock disks (0.25" thick x 2.5" in diameter) were utilized to mimic the actual pore plugging mechanism. The rheological findings showed that the PV, YP and GS were significantly improved. On the other hand, the filtrate volume and filtercake thickness were reduced by 63 and 42% for the Bandera Brown disk sample. The current formulation is useful in drilling the payzone section of the wellbore.

Experimental investigation on duration of load effect of novel inorganic-bonded bamboo composite under flexural load

Conventional engineered wood and bamboo materials commonly require organic adhesives for adequate bonding. As an alternative solution in bio-based composites, a novel bamboo-based composite prepared with a magnesium-based inorganic adhesive was proposed herein, which is named as “inorganic-bonded bamboo composite” and abbreviated as InorgBam. This study investigates the duration of load (DOL) effect on InorgBam beams under long-term flexural load. The percentile matching method was used to obtain the short-term strengths matched to the long-term specimens, and the strength reduction of the long-term specimens was obtained. The DOL result were calibrated using the DOL empirical formulas and DOL damage models, including Gerhards, Foschi and Yao, and Nielsen models. The impact of the selected cumulative probability functions of short-term strength on the DOL analysis has also been discussed. Results illustrated that the strength reduction in the InorgBam was less than the prediction of Madison curve. The value of DOL coefficient determined with Foschi and Yao model was closest to that derived from the empirical fitted formula. The DOL effect of the InorgBam beams was significantly smaller than that of conventional engineered wood beams, which is beneficial for determining the design strength value of InorgBam material.

Rationale for Embedding Soft Skills in Teaching and Assessment in Higher Learning Institutions

The digital age has witnessed the educational systems preparing students for employability with 21st-century skills, which comprise skills and abilities for success in society and the workplace. To this effect, one of the most significant discussions in higher education in Tanzania and elsewhere is the quality of university graduates. Graduates demonstrate deficiencies in mastery of essential competencies referred to as soft skills. Universities can play a significant role in soft skills development, but implementation in the classroom has faced diverse challenges that have obstructed effective teaching and assessment. One alternative solution is embedding soft skills within the extant program curricula because the academic infrastructure is already in place, so few additional resources may be required. Guided by attribution theory, this paper presents findings from the thematic analysis of semi-structured in-depth interview responses from university teacher educators working with a public university. By and large, the paper unveils that teacher educators recommend that soft skills play a fundamental role in shaping graduates’ personalities and enhancing social competencies. Nevertheless, teacher educators find themselves in dilemmas while pursuing teaching and assessment strategies that improve the furtherance of soft skills.

Brackish water pre-treatment method: selection of the study area and water sample testing

Abstract Climate change significantly disrupts the global water cycle, impacting rainfall and social and economic development in countries like Morocco. This has led to the need for alternative solutions like desalinating sea and brackish water. However, the efficiency of water pre-treatment operations depends on the characteristics of the raw water to be treated and affects the overall system's performance in terms of water quality and cost. The final objective of this study is to design a solar-powered brackish pre-treatment technique before desalination for remote rural populations. The primary task is to select the most suitable geographical area in Morocco for sampling and analysis of water characteristics and their compliance with drinking water standards. The results help identify the most appropriate provinces for our case according to certain selection criteria (distance, annual solar radiation, rural population, access to drinking water) and analyse the water's characteristics and compliance with national or international drinking water health standards. This provides a solid foundation for the next stages of desalination method development.

Verticillium Species as an Ecofriendly Alternative to Manage the Invasive Tree Ailanthus altissima (Mill.) Swingle

Environmental pollution, unintended harm to beneficial organisms, and the development of herbicide resistance among weeds are the main consequences of the massive and consistent use of chemical herbicides in recent decades. The growing need for alternative solutions has been reinforced by restrictive policies, leading to a search for natural herbicidal candidates. Mycoherbicides, formulations containing plant pathogenic fungi, are viewed as promising substitutes for chemical herbicides. In the case of Ailanthus altissima (Mill.) Swingle, one of the worst invasive alien tree species in the world, Verticillium-based mycoherbicides offer a viable method for control, inducing a lethal wilt disease and leading plants to death within a few years. The demonstrated significant effectiveness enables addressing challenges posed by other—conventional—approaches. The current analysis matches key internal (strengths and weaknesses) and external factors (opportunities and threats) of Verticillium Nees isolates as environmentally-friendly control agents against the invasive A. altissima, by listing each singularly and then crossing them among the categories, drawing from the collaborative efforts of American, Austrian, and Italian research teams.

Limb Fractures Treated With the Novel Plate Osteosynthesis Application Technique: Second to Minimally Invasive Plates osteosynthesis.

The main aim of this article was to propose a new concept of minimally invasive surgery for treating limb fractures, named as second to minimally invasive plates osteosynthesis (STMIPO). We have described the STMIPO technique in a step-wise and standardized manner based on our findings from a study involving six patients treated at our institution. All patients with fracture achieved satisfactory outcomes. Ours clinical trials have shown that the STMIPO technique can be successfully applied in various limb fractures, including fibula fractures, tibial fractures, femur fractures, humerus fractures, ulna fractures, and radius fractures. All fracture patients achieved satisfactory outcomes. As a new minimally invasive technology, the STMIPO technique can serve as an alternative solution for fractures that are difficult to reduce with minimally invasive plates osteosynthesis (MIPO).

Linear gyrokinetic theory of two-dimensional ion-temperature-gradient mode in tokamaks

The investigation of the two-dimensional (2D) linear ion-temperature-gradient (ITG) mode in toroidal plasma is carried out in ballooning mode representation. A novel approach to solve the radial envelope structure is proposed by constructing radial differential eigenequation. The important lemma (∂ω/∂θk)|θk=0=0 is proved and employed to construct a numerically solvable eigenequation. We have developed a numerical solver which gives the 2D solution consistent with the results obtained by the gyrokinetic global simulation code. Our newly proposed method presents an alternative solution to the 2D ITG eigenvalue problem.