Good Resource Research Articles

Antioxidant and anticholinesterase activities, molecular docking, ADMET and drug-likeness studies of essential oil and ethanolic extract from Ammodaucus leucotrichus Coss. & Dur. Fruits

The current study aimed to investigate the in vitro and in silico antioxidant and anticholinesterase effects of essential oil (EO) and ethanolic extract (EE) from Ammodaucus leucotrichus Coss. & Dur. fruits. GC-MS analysis of the EO revealed a predominance of perillaldehyde (80%), followed by limonene (13.45%). Antioxidant activity results showed that EO had excellent superoxide radical scavenging activity (IC50 = 20.95 μg/mL) compared to α-tocopherol (IC50 = 31.52 μg/mL), while EE demonstrated good ABTS•+ and DPPH radical scavenging activity with IC50 values of 52.06 and 63.51 μg/mL, respectively, compared to BHT (13.01 and 23.14 μg/mL). In addition, noticeable ferric and cupric reducing powers were observed. EO showed good inhibitory activity against both acetyl and butyrylcholinesterase (AChE and BChE) compared to galantamine (199.81 and 86.09 vs. 8.14 and 36.44 μg/mL, respectively). However, very low activity was demonstrated by the EE (IC50 > 200 μg/mL). Molecular docking analysis predicted high binding affinities of perillaldehyde and limonene with AChE and BChE ranging from −5.8 to −6.2 kcal/mol and an inhibition by binding via the π-interaction with the residues of active sites His447 and His438, respectively. Additionally, only perillaldehyde presented hydrogen bonds with both enzymes. Furthermore, the absorption, distribution, metabolism, elimination, and toxicity (ADMET) prediction studies of perillaldehyde and limonene showed good pharmacokinetic properties without inhibition of cytochromes P450 (CYP), nephrotoxicity, or mutagenicity, as well as good drug likeness evaluated by Lipinski’s Rule and a bioavailability score of 0.55. Thus, A. leucotrichus could be a good resource for pharmaceutical applications.

The Use of Artificial Intelligence (AI) in Teaching English Vocabulary in Oman: Perspectives, Teaching Practices, and Challenges

Vocabulary plays an outstanding role in the teaching/learning process of second/foreign languages. With recent technological advancements, particularly emerging AI tools, a necessity arises to examine and explore the effect of these AI tools on teaching English. Therefore, this study examines teachers’ attitudes toward using AI tools to teach English vocabulary to EFL Omani students. It also explores their perspectives on the most common AI tools, integration scenarios, and challenges. A mixed-method research design was utilized; the quantitative data included an adopted questionnaire from Alharbi and Khalil (2023) with closed-ended questions, and the qualitative data involved exploratory open-ended questions. Both research designs were distributed randomly to 70 English teachers teaching at the Preparatory Studies Center at one of the Omani universities. The quantitative data were analysed statistically employing SPSS version 29, whereas the qualitative data were analysed thematically. The quantitative data showed that the English instructors have a positive attitude toward the advantages of the use of AI tools in teaching English in general and vocabulary in particular. These quantitative data were supported by their perspectives, revealing that such tools are appropriate and effective since they engage students and increase their learning autonomy. The top five AI tools were ChatGPT, Kahoot, Duolingo, Quizlet, and Google Translate. However, English instructors illustrated some concerns related to lacking familiarity and training in using AI tools, ethical considerations related to the privacy of personal data, shortage of good resources, and enough time since priority is given to cover the course delivery plan. These findings could have pedagogical implications, whereby current textbooks should consider integrating these AI tools to make teaching more effective. Besides, teachers should be provided with sufficient training to exploit such tools in providing their students with effective and engaging teaching methods.

The Influence of Interpersonal Communication on Employee Performance at the Office of the South Sulawesi Provincial Driving Teacher Center

The purpose of this study is to determine the influence of interpersonal communication on employee performance in the office of the South Sulawesi Provincial Driving Teacher Center. Employee performance is an important thing that can affect how much an organization's goals are achieved. Efforts to improve performance and overcome employee performance problems, of course, must be considered is the quality of good human resources so that they will be able to work optimally. Communication is an important element in improving employee performance, one of which is interpersonal communication. Interpersonal communication is the basis of effective communication for the success of an institution or organization. This study is descriptive research with quantitative techniques aimed at determining the influence of interpersonal communication on employee performance. To achieve the objectives of this research, data collection techniques are used through questionnaires and documentation. The population in this study is 89 employees with a sample of 73 employees. The data that has been obtained from the results of this study was processed using descriptive and inferential statistical analysis to determine the influence of interpersonal communication on employee performance at the South Sulawesi Provincial Teacher Driving Center office. The results of the study show that the indicators used in each variable can be concluded that interpersonal communication is in the good category and in the employee performance variable is in the good category. Based on the results of the product moment correlation test, the relationship between variables is moderate. Based on the results of a simple linear regression analysis, it was concluded that there was a positive and significant influence between interpersonal communication on employee performance at the South Sulawesi Provincial Driving Teacher Center office

Storage capacity estimates and site conditions of potential locations for offshore-wind powered carbon dioxide removal and carbon sequestration in ocean basalt

Negative emission technologies (NETs) are considered essential to keep global warming below 2 °C. Situating wind-powered carbon dioxide removal (CDR) devices offshore and injecting carbon dioxide (CO2) into deep-water sub-seafloor basalt aquifers has the potential to offer large CO2 removal capacity. It also avoids land and water-use competition and provides additional low-risk protections against post-injection leakage compared to terrestrial CO2 storage. This paper seeks to identify locations where offshore wind and potential basalt storage locations exist within close proximity to one another around the globe. A global mean wind power density map at 150 m height was computed using 30 years (1986–2016) of ERA5 hourly wind speed reanalysis data. Offshore regions with mean wind speed greater than 8 m/s were identified. Offshore regions with basalt aquifers along seismic or aseismic ridges which provide potential CO2 storage sites were identified and selected based on sediment thickness, age, and distance from plate boundaries. Four scenarios were constructed to capture a range of constraints with implications for technical, economic and regulatory difficulties. For each scenario, eligible regions for CO2 injection were filled by regularly spaced grid points and the distance to the nearest eligible wind resource was calculated for each point to identify the most promising configurations. Total available storage capacity within reach of wind resources was estimated to be between 4,300Gt and 196,000Gt depending on both uncertainties in porosity and other imposed constraints; even the most conservative estimates represent enormous capacity compared to global targets for negative emissions technologies. Typically, the best areas were found close to the poles due to the greater prevalence of good wind resources in those areas. Site-specific properties such as water depth and distance from shore are computed for the identified locations in order to characterize the conditions in which such locations are typically found.

COVID-19 inflammatory signature in a Mozambican cohort: unchanged red blood series and reduced levels of IL-6 and other proinflammatory cytokines

SummaryBackgroundAlterations in haematological, biochemical parameters and cytokine levels, were reported in patients with COVID-19, however, there is an underrepresentation of the African population, which could provide evidence for understanding SARS-CoV-2 pathogenesis and useful tools for clinical management of cases. In this study, we aimed to determine the haematological, biochemical and cytokine profile in Mozambican individuals with SARS-CoV-2.MethodsA cohort of 85 Mozambican individuals with RT-PCR SARS-CoV-2 results, was stratified into negative, asymptomatic, mild, moderate, and severe categories. Haematological, biochemical and cytokines measurement were performed on samples from the study participants. Principal component analysis (PCA) was performed to identify similar patterns among the study cases. Comparisons between groups were performed using the Kruskal-Wallis test. Receiver operating characteristic (ROC) and area under the curve (AUC) analysis were conducted to evaluate the ability of these parameters to distinguish severe from non-severe cases of SARS-CoV-2 infection.ResultsSARS-CoV-2 infection was associated with a significant (p < 0.05) decrease in peripheral blood absolute counts of total lymphocytes and eosinophils, below the reference values along with no abnormal change (p > 0.05) in red blood cell count, haemoglobin, platelets and other red series parameters. At the serum level, SARS-CoV-2 infection was associated with an increase in serum levels of C-reactive protein (C-RP) and glucose above the reference values and to a significant reduction a significant (p < 0.05) reduction in levels of interferon-gamma (INF-γ), Tumour Necrosis Factor alfa (TNF-α) and the interleukin 1 beta (IL-1β) and IL-6 in severe cases, when compared to negative cases. Haematological, biochemical and cytokine profiles segregate severe from non-severe cases of COVID-19 with an excellent performance of C-RP (AUC = 0.95; p < 0.001) and good performance of lymphocytes (AUC = 0.88; p < 0.001) and IL-15 (AUC = 0.86; p < 0.001).ConclusionThe lack of variation in red and platelet series, coupled with a decrease in the levels of classical pro-inflammatory in severe cases, deviates from what has been reported in other contexts suggesting, that there may be peculiarities in COVID-19 manifestation within the context of this study population. Furthermore, these results identify parameters with potential for clinical management of COVID-19 and therefore good resource allocation, particularly for severe cases.

Performance analysis of a photovoltaic component integrated into a hybrid power plant in Southeast Mauritania

This study investigated the performance of photovoltaic components of the 1.3MW KIFFA hybrid power plant in Mauritania. Data from the plant's monitoring system (January-December 2021) was used to assess various performance metrics. The analysis revealed a high daily reference yield (5.60 h/d), indicating good solar resource availability. However, final and array yields (4.78 h/d and 4.86 h/d, respectively) suggested potential for improvement. System component efficiencies were within acceptable ranges, with particularly high inverter efficiency (98.31%). Array capture losses were moderate (0.74 h/d), and system losses were minimal (0.08 h/d). The annual performance ratio (86.33%) and capacity factor (19.91%) indicated good overall plant performance. These findings were then compared with data from similar installations in various climate zones to understand the impact of climatic variations on photovoltaic performance. Compared to installations in temperate zones with lower irradiation levels, the KIFFA plant's reference yield was significantly higher. However, the final and array yields were closer due to potentially higher operating temperatures in Mauritania affecting module efficiency. Interestingly, comparisons with installations in other desert regions with similarly high irradiation levels revealed lower performance, particularly in terms of final yield, (4.71 h/d) in Algéria (Adrar) and (4.10 h/d) in Oman (Muscat). This suggests that climatic factors beyond just sunlight availability, such as dust accumulation, may have played a significant role in their performance compared to the KIFFA plant.

Effects of compound fermentation of lactic acid bacteria IMAUJBP3 and IMAUJBR3 on the characteristic flavors and metabolites of mutton fermented sausages

Lactobacillus plantarum IMAUJBP3 and Limosilactobacillus reuteri IMAUJBR3 were used to prepare starter cultures. Through the electronic nose (E-nose), it was found that the compound fermentation can enhance the aromatic components in the product. Further analyses using Headspace solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPMEGC–MS) and metabolomics revealed that the complex fermentation affected the oxidative breakdown of amino acids and lipids. HS-SPMEGC-MS identified 72 flavour compounds and found that the Mix group had the highest amount of ester compounds relative to the ZR group. In addition, of the 1402 metabolites identified by metabolomics, dihydroxyacetone phosphate was upregulated and most abundance in the Mix group. Dihydroxyacetone phosphate promotes the metabolism of carbohydrates and lipids, and affects the oxidative decomposition of amino acids and lipids, resulting in differences in flavor among meat products inoculated with different starter cultures. At the same time, it was also found that compound fermentation could down-regulate the compounds affecting product quality such as histamine, putrescine and phenethylamine. Overall, this study found that JBP3 and JBR3 in combination could improve the flavour quality of fermented lamb sausages. These findings may provide a good strain resource for improving the quality of lamb sausage.

Job Resources, Employee Engagement, and Innovative Work Behaviour of Bank Employees: Does Sex Matter?

This study examined the relationships between job resources, employee engagement, and innovative work behavior among bank employees, taking into consideration gender differences. Data were gathered from 159 bank workers in the Cape Coast metropolis using a structured questionnaire, and data analysis was carried out using Structural Equation Modelling 4.9.8. A multigroup analysis was also done to assess how different gender roles affect the relationship between job resources, employee engagement, and the innovative work behavior of bank workers. The study found that job resources did not have a direct relationship with innovative work behavior but did so indirectly through employee engagement. Furthermore, the multigroup analysis revealed that when women have access to good job resources, they feel more engaged in their work, increasing their innovative behaviors compared to men. This study addresses a knowledge vacuum in the banking industry by examining the relationships between job resources, employee engagement, and innovative work behavior. It offers empirical evidence in a context that has yet to be extensively studied.

Real-time Performance Comparison of Face Detection Algorithms using Raspberry Pi

Abstract This study reviewed state-of-the-art face-detection techniques like Haar cascade, Dlib HOG, MTCNN, and MediaPipe; implemented and tested them on Raspberry Pi, and evaluated their accuracy, speed, and frames per second. Overall, the research underscores the practical challenges of face detection, including varying lighting, facial expressions, occlusions, poses, scale of face, and accessories, and provides valuable insights for developers and researchers working on edge AI applications on low-cost edge devices. The study found that the MediaPipe face detection algorithm demonstrated robust performance, even with low-quality images, and showed good efficiency and resource management on the Raspberry Pi. The research emphasized the importance of considering factors like accuracy, speed, and resource efficiency in face detection on edge devices. The findings suggest that MediaPipe is a strong candidate for applications requiring efficient face detection, affordable and versatile platforms like Raspberry Pi. By focusing on the Raspberry Pi, the study offers a unique perspective on the performance of state-of-the-art face detection algorithms in real-world, resource-constrained environments, making it a significant contribution to the field of face recognition and edge computing.

Characteristics and Analysis of Factors Affecting the Performance of Service Providers (Contractors) in Denpasar City in 2023

Contractors are individuals or business entities that have expertise in carrying out construction work in accordance with planning, where the appointment of contractors is mostly carried out through a tender/auction system (Sholeh, 2020). Nowadays, contractors are a business that is in great demand by the public, but the development of the quantity of construction service companies has not been followed by an increase in qualifications and performance. One of the reasons is that the business and expertise requirements (SKK) are still not met, which will later affect business reliability and competitiveness. (Priana, 2018). Seeing this situation, it is very important to research the characteristics and factors that affect the performance of service providers (contractors) in the city of Denpasar in 2023. The method used in this study is descriptive statistics as well as factor analysis is used to explain the factors that affect contractor performance. From the research that has been carried out, 1). Contractors in the city of Denpasar have good human resources, experience, finance, and equipment and are in accordance with Law No. 11 of 2020 concerning Job Creation and LPJK No. 3 of 2017 concerning Certification and Registration of Construction Implementation Services Business. 2). The most influential factor on contractor performance is in group I with a total diversity value of 32.756%.

The Effect of Transformational Leadership Towards Affective Commitment In Vocational Schoolof West Kalimantan

&lt;p&gt;In the era of industrial revolution 4.0, the functional reformation must be conducted to vocational education. The vocational education sector has been in a crucial position to prepare good quality human resources (teachers and students) that are well-prepared in the era of industrial revolution 4.0. An ability of computer literacy and noble character (akhlakul karimah) of human resources are two essential aspects that have been concern in the effort of the superior human preparation. Therefore, this aim of this study is to develop a new model of affective commitment and see its impact to transformational leadership in vocational school across west Kalimantan. A quantitative approach using partial least squares path modeling (PLS-SEM) Wrappls version 7 was used to calculate 254 data sample from 29 private and public vocational high schools throughout West Kalimantan. The result revealed that the role of affective commitment as a mediating variable had been able to provide a positive and significant influence as well as this variable was able to improve the performance of leaders and teachers in vocational high schools throughout West Kalimantan through exogenous variables in the form of transformational leadership.&lt;/p&gt;

Assessing Financial Literacy of Female Entrepreneurs in Informal Economy: Empirical Evidence from Micro Business in Malaysia

Financial management in business ensures that the goals of an organization are achieved. It has become a priority for every business to have good financial resources to ensure sustainability. However, many entrepreneurs are found to need help managing their finances well and are used to supporting a lavish lifestyle. As an outcome, they had to take a personal loan from a financial institution, and this personal loan is a big commitment because they must pay it back with a high loan rate. This situation puts an additional burden on entrepreneurs, which eventually becomes the cause of business failure. Employing a mixed method, this study's objectives are to evaluate the financial literacy of female entrepreneurs of micro-businesses in Malaysia and to determine the causes of financial illiteracy. This study involved 100 female entrepreneurs in the survey study and 20 female entrepreneurs of micro business in the interview study. The survey data were examined using descriptive and inferential statistics, and interview data were analyzed using thematic analysis. The survey findings have revealed that most female entrepreneurs have a low level of financial literacy, and financial literacy significantly influences business success. Interview data revealed that most informants still need to adopt the systematic accounting system, are unable to organize financial and personal accounts, do not have proper financial savings, and cannot calculate product costing and selling price. Therefore, this study will help female entrepreneurs manage their future financial practices.

Psychological empowerment-a mechanism for well-being of teachers: Psychometric evaluation of a tool

BACKGROUND: Psychologically empowered employees are more innovative and proactive. Individual well-being is greatly impacted by psychological empowerment. Examining school teachers’ “psychological empowerment” is important since it motivates them more than external circumstances and contributes to their well-being. Spreitzer’s “Psychological Empowerment Scale” (PES) is a well-known instrument used for this purpose. Scarcity of studies on teachers’ psychological empowerment and cultural differences in populations prompted the researcher to re-evaluate PES. This research would help bridge this gap by adapting PES to teachers and generating a valid and reliable measure of their psychological empowerment in India. MATERIALS AND METHODS: Using convenient sampling, data was gathered from 498 secondary school teachers (age range of 30-55 years) in Assam (India) in 2023 for this cross-sectional study. IBM SPSS version 26 was used to conduct descriptive statistics, including Cronbach’s α for evaluating internal consistency. Exploratory factor analysis (EFA) was used to investigate the factor structure of the instrument, followed by confirmation of factor structure via Confirmatory factor analysis (CFA). RESULTS: EFA provided considerable evidence of 4-factor structure, viz., meaning, competence, self-determination, and impact. The 12-item factor structure depicted good reliability and evidenced good model-fit indices values. CONCLUSION: Psychological empowerment (PE) scale with four factors and 12 items is a reliable and valid tool for assessing PE of Indian teachers. The scale can be a good resource for principals, educational administrators, and teachers themselves to assess overall as well as dimension-wise components of PE while norms development of PE as per Indian teachers is recommended.

Analisis Kesalahan Berbahasa dalam Teks Nonfiksi pada Buku Pelajaran Bahasa Indonesia Kelas VIII Terbitan Pusat Kurikulum dan Perbukuan Balitbang Kementerian Pendidikan dan Kebudayaan sebagai Upaya Meningkatkan Kualitas Pembelajaran Membaca

The use of the Indonesian language, particularly in spelling, has not been fully executed properly, especially in textbooks. Textbooks, especially Indonesian language textbooks, as the primary learning source, should serve as examples of standardized and error-free texts. However, in reality, many language errors are still found in the non-fiction texts of Indonesian language textbooks. This research describes syntax language errors in the Indonesian Language Textbook for Grade VIII published by the Curriculum and Book Development Center of the Ministry of Education and Culture. The research method used is Qualitative Descriptive. The results of the research include language errors in the Grade VIII Indonesian Language Textbook published by the Curriculum and Book Development Center of the Ministry of Education and Culture in the field of syntax, which include: conjunction errors, punctuation errors, misspellings not in accordance with KBBI (Indonesian Dictionary), and sentence ineffectiveness. From the research findings, it can be concluded that Indonesian language textbooks serve as good learning resources, but the various errors found indicate that Indonesian language textbooks are still not effective for learning. This research was conducted to identify language errors in Indonesian language textbooks in order to pay more attention to their effectiveness in learning.

Optimal conditions for cryopreservation by vitrification of largemouth bass (Micropterus salmoides) embryos

The largemouth bass (Micropterus salmoides) is one of the important freshwater aquaculture species in the world. However, due to limitations on introduction scale, high-density farming, inbreeding, and species hybridization, the germplasm resources of largemouth bass face threats such as degradation and susceptibility to diseases. Therefore, it is urgent to conduct research on the conservation of its original and good germplasm resources. We optimized the conditions of cryopreservation to vitrify and revive largemouth bass embryos, including the mixing ratio of cryoprotectants, embryo stage, equilibration step and temperature, and washing regent. The results showed that the least toxic single, binary, and ternary mixed permeating cryoprotectants were PG, PM (PG: MeOH = 2:1), and PMD (PM: DMSO = 3:1), respectively. The least toxic non-permeating cryoprotectant was 5 % glucose. The optimal vitrification solution selected was PMDG (30 % PMD + 5 % glucose) with an 80.67 % survival rate of embryos. Embryos at the heartbeat stage exhibited strong tolerance to the PMDG solution, which is the optimal embryo stage for cryopreservation. During the equilibration process, either the five-step equilibration method or pre-cooling the cryoprotectant to 4°C could reduce its toxicity. During the washing process, a 0.125 mol·L−1 sucrose solution yielded the best results. Based on the optimized conditions, 650 embryos at the heartbeat stage were subjected to cryopreservation by vitrification, resulting in a total of 350 intact transparent eggs, two of which hatched successfully. The results provide a reference for further improving the efficiency of cryopreservation by vitrification of largemouth bass and other fish species.

Parent–child discrepancies in mate preferences: A three‐level meta‐analysis

AbstractThrough the lens of evolutional psychology, mate preferences are posited into a three “G” framework (good genes, good resources, and good persons/parents/partners) that captures genetic quality, resource acquisition, and personality and caregiving qualities. Previous research acknowledged that adult children had different mate preferences from their parents, but had no consensus on how such differences existed in certain mate characteristics. This meta‐analysis aimed to examine the discrepancies of characteristics in mate preferences between parent and adult child, and how the moderators of culture, gender, measurement scoring type, and study quality could influence such discrepancies. We summarized 25 eligible articles (N = 21,008) on parent–child discrepancies in mate preferences, which covered 1473 effect sizes. A three‐level random‐effects meta‐analysis result showed that adult children's mate preferences had significant differences from parents’ preferences on in‐laws in good genes (Cohen's d = 0.42, 95% CI [0.237, 0.595]), indicating that adult children emphasized more on traits associated with genetic quality. No significant group differences were found on the related traits about good resources (Cohen's d = −0.11) and good persons/parents/partners (Cohen's d = 0.08), indicating that parents and children have similar preferences on provisioning‐related mate traits and personality. Our results also revealed that the parent–child discrepancies in mate preferences differ across culture, gender, measurement scoring type, and study quality. Our results offer insights into revisiting evolutionary perspectives of mate preference and highlighting the existing parent–child discrepancies in mate preferences that can be explained through social structural theories and family systems theory. We also discussed practical implications for research on mate preferences and highlighted new avenues for future studies.

Collaboration of Hexahelix In Developing Natural Tourism Potential

Kuningan Regency is located in the province of West Java which borders Central Java province, with good natural resources to be developed into tourism and becoming one of the sources of Regional Budget Revenue (PAD), so with this we conducted research on tourism in Kuningan Regency with The method we use is a qualitative method, namely by collecting data. From these results, it turns out that tourism is not yet optimal in Kuningan Regency due to the budget and lack of participation by the government and private sector in increasing tourism in Kuningan Regency. To increase tourism, collaboration between stakeholders is needed. The research results show that in the collaboration process carried out in developing tourism potential in the National Nature Tourism Park in Kuningan Regency, this cross-sector collaboration is effective in achieving sustainable development goals, especially at the village level. The success of this program illustrates the potential of the Hexa Helix collaborative model as a solution to global challenges.

Enhancing alzheimer’s diagnosis through optimized brain lesion classification in MRI with attention-driven grid feature fusion

This paper explores cognitive interface technology, aiming to tackle current challenges and shed light on the prospects of brain-computer interfaces (BCIs). It provides a comprehensive examination of their transformative impact on medical technology and patient well-being. Specifically, this study contributes to addressing challenges in classifying brain lesion images arising from the complex nature of lesions and limitations of traditional deep learning approaches. It introduces advanced feature fusion models that leverage deep learning algorithms, including the African vulture optimization (AVO) algorithm. These models integrate informative features from multiple pre-trained networks and employ innovative fusion techniques, including the attention-driven grid feature fusion (ADGFF) model. The ADGFF model incorporates an attention mechanism based on the optimized weights obtained using AVO. The objective is to improve the overall accuracy by providing fine-grained control over different regions of interest in the input image through a grid-based technique. This grid-based technique divides the image into vertical and horizontal grids, simplifying the exemplar feature generation process without compromising performance. Experimental results demonstrate that the proposed feature fusion strategies consistently outperform individual pre-trained models in terms of accuracy, sensitivity, specificity, and F1-score. The optimized feature fusion strategies, particularly the GRU-ADGFF model, further enhance classification performance, outperforming CNN and RNN classifiers. The learning progress analysis shows convergence, indicating the effectiveness of the feature fusion strategies in capturing lesion patterns. AUC-ROC curves highlight the superior discriminatory capabilities of the ADGFF-AVO strategy. Five-fold cross-validation is employed to assess the performance of the proposed models, demonstrating their accuracy, and few other accuracy-based measures. The GRU-ADGFF model optimized with AVO consistently achieves high accuracy, sensitivity, and AUC values, demonstrating its effectiveness and generalization capability. The GRU-ADGFF model also outperforms the majority voting ensemble technique in terms of accuracy and discriminative ability. Additionally, execution time analysis reveals good scalability and resource utilization of the proposed models. The Friedman rank test confirms significant differences in classifier performance, with the GRU-ADGFF model emerging as the top-performing method across different feature fusion strategies and optimization algorithms.

The Impact Of Financial Compensation On The Performance Of Marketing Employees

To achieve this goal, companies need to pay attention to employees in all aspects of their work because this becomes an incentive for employees to carry out their work activities and achieve organizational goals. For this reason, it is natural to pay attention to the whereabouts of employees from the start. Employees who are company assets need to know their needs and desires so that they are expected to be able to produce job satisfaction, good performance and high loyalty to the company so as to achieve company goals. Effective human resource management requires managers to find the best way to employ employees to achieve goals. company. There are many things that can be done to empower good human resources, including efforts that include level education, training, and creating a conducive work situation or environment so that employees feel at home carrying out their work. Compensation is an important aspect in determining employee performance. Company attention is important because employees try to achieve the performance determined by the company. Realizing the importance of compensation for company performance, compensation management should be important. In providing compensation, the timeliness of providing compensation and the amount of compensation given by the company to employees affects employee morale, motivation, work performance and performance. An employee's absolute income level will determine the scale of his life and relative income shows his status and dignity. Therefore, if employees perceive that the compensation they receive is inadequate, this will cause employee morale, motivation, work performance and performance to decline drastically. Motivation is a condition that drives employees who are directed or focused on achieving company goals. Achieving this goal means also achieving the personal goals of the members concerned.

Implementasi Strategi Komunikasi Organisasi dalam Meningkatkan Motivasi Kerja: Studi Kasus PT Pallawa Sejahtera Mandiri di Kab. Mamuju

This study aims to determine the Implementation of Organisational Communication in Improving Work Motivation at PT Pallawa Sejahtera Mandiri in Mamuju Regency and maintain the effectiveness of organisational communication in improving employee work motivation at PT Pallawa Sejahtera Mandiri.To fulfil these objectives, qualitative research was conducted at PT Pallawa Sejahtera Mandiri in Mamuju Regency, located at Jl. Lingkar Jalur Dua Airport, Kel Sinyonyoi, Kec Kalukku, Kab Mamuju. Research data were collected through observation and in-depth interviews. The data findings were then analysed, in order to achieve the desired results. The results of this study are to determine the Implementation of Organisational Communication in Improving Work Motivation at PT Pallawa Sejahtera Mandiri in Mamuju Regency in this study, PT Pallawa Sejahtera Mandiri includes various factors both internal and external, such as providing salaries/incentives, appreciation for performance, opportunities to take part in education and training, a comfortable work environment, and adequate office facilities. In increasing employee motivation in the office, it is determined by several things, including openness in communication, good human resource management, solid cooperation with all members of the organisation, and a clear understanding of the duties and functions of each employee in their field.