The first part of this paper presents the classical Sabine formula used for estimating the reverberation time (𝑇60 of a room. An experiment was then conducted in which the reverberation time was evaluated using both the Sabine formula and the Schroeder algorithm, the latter estimating 𝑇60through the analysis of the Room Impulse Response (RIR).The second part of the paper introduces a corrected Sabine formula obtained by multiplying the original Sabine expression with a correction.....

[1]. Sabine, W.C.1922. Collected Papers.Dover Publications, New York.
[2]. Eyring, C.F.1930. Reverberation time in ‗dead' rooms. J. Acoust. Soc. Am., vol. 1, no. 2, pp. 217–241.
[3]. Millington, G. A. 1932.Modified formula for reverberation. Journal of the Acoustical Society of America.vol 4,pp. 69–82.
[4]. Fitzroy, D. 1959. Reverberation formula which seems to be more accurate with nonuniform distribution of absorption. Journal of the Acoustical Society of America, vol. 31, no. 7, pp. 893–897.
[5]. Dalenbäck, T. 1996. Room acoustic prediction based on a unified treatment of diffuse and specular reflection. J. Acoust. Soc. Am., vol. 100, no. 2, pp. 899–909.

This study presents a comprehensive petrophysical and depositional environment evaluation of the QX Field, located in the Southeastern Niger Delta. The aim was to integrate well log analysis, and seismic attribute evaluation to characterize the reservoir properties and estimate hydrocarbon potential. Three key reservoirs (RES 1, RES 2, and RES 3) were delineated using gamma ray, resistivity, density, and neutron logs, followed by quantitative petrophysical analysis.........

[1]. Archie, G. E. (1942). The Electrical Resistivity Log as an Aid in determining Some Reservoir Characteristics. Petroleum
Transactions of the American Institute of Mining, Metallurgical and Petroleum Engineering (AIME), 146, 54–62.
[2]. Archie, G. E. (1952). Classification of carbonate reservoir rocks and petrophysical considerations. AAPG Bulletin, 36(2), 278– 298.
[3]. Asquith, G., & Krygowski, D. (2004). Basic Well Log Analysis (2nd ed.). AAPG.
[4]. Burke, K. (1972). Longshore drift, submarine canyons, and canyons on the Niger Delta. Journal of Geology, 80(5), 539-550.
[5]. Burke, K., Dessauvagie, T. F. J., & Whiteman, A. J. (1971). Opening of the Gulf of Guinea and geological history of the Benue Depression and Niger Delta. Nature Physical Science, 233(39), 51-55

Mangrove forests are among the most productive and carbon-rich ecosystems on Earth, providing essential services such as shoreline protection, nursery habitats for fisheries, nutrient cycling, and long-term carbon sequestration. However, degradation from deforestation, wood harvesting, and land conversion releases significant greenhouse gases. Assessing above-ground and below-ground biomass along disturbance gradients is therefore crucial for understanding how human activities affect the climate-mitigation capacity of mangroves, particularly in Nigeria's Niger Delta. This study quantified above-ground biomass..........

[1]. Adame, M. F., Zakaria, R. M., Fry, B., Chong, V. C., Then, Y. H. A., Brown, C. J., & Lee, S. Y. (2018). Loss and recovery of carbon and nitrogen after mangrove clearing. Ocean & Coastal Management, 161;117–126. https://doi.org/10.1016/j.ocecoaman.2018.04.019
[2]. Adekomaya, O., Jamiru, T., Sadiku, R., & Huan, Z. (2016). Sustaining the environment through energy conservation: The role of industrial energy audit. Renewable and Sustainable Energy Reviews, 54; 1079–1083.
[3]. Alimi, T., Daramola, A. G., & Akintunde, A. (2016). Climate change and sustainable development: An overview. African Journal of Environmental Science and Technology, 10(5); 137–145.
[4]. Alongi, D. M. (2014). Carbon cycling and storage in mangrove forests. Annual Review of Marine Science, 6; 195–219. https://doi.org/10.1146/annurev-marine-010213-135020
[5]. Anomohanran, O. (2017). Estimating the greenhouse gas emission from petroleum product combustion in Nigeria. Energy Policy, 101; 471–479.

The Native plant Paederia foetida, sometimes known as the skunk vine, is a member of the Rubiaceae family. A wide range of conditions can be treated with the plant, including rheumatoid arthritis and liver diseases. The goal of the current study was to utilize Swiss ADME to determine the pharmacokinetic profile of the methanolic extract from Paederia foetida leaves. Several bioactive substances were identified using GC-MS analysis, with terpenoids, fatty acid esters, and aromatic derivatives showing the largest peaks. The absorption, distribution, metabolism, and excretion (ADME) characteristics of these substances were examined in detail.Only a small percentage exhibited pharmacokinetic limitations, whereas the majority met Lipinski's rule of five and demonstrated good gastrointestinal absorption, adequate solubility, and excellent drug likeness scores.

[1]. Ojha, S., Raj, A., Roy, A., & Roy, S. (2018). Extraction of total phenolics, flavonoids, and tannins from Paederia foetida L. leaves and their relation with antioxidant activity. Pharmacognosy Journal, 10(3).
[2]. Karmakar, U., Akter, S., & Sultana, S. (2020, May 8). Investigation of antioxidant, analgesic, antimicrobial, and anthelmintic activity of the aerial parts of Paederia foetida (Family: Rubiaceae). Jordan Journal of Pharmaceutical Sciences, 13(2).
[3]. Duke, J. A. (2002). Handbook of medicinal herbs (2nd ed., p. 896). CRC Press.
[4]. Wong, K. C., & Tan, G. L. (1994). Steam volatile constituents of the aerial parts of Paederia foetida L. Flavour and Fragrance Journal, 9(1), 25–28.
[5]. Daina, A., Michielin, O., & Zoete, V. (2017). SwissADME: A free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific Reports, 7, 42717. https://doi.org/10.1038/srep42717

Self-service technology (SST) is increasingly being adopted by modern retailers to improve transaction efficiency, including through the use of self-checkout. But the success of its implementation depends on how consumers assess the quality of the system and the experience provided. This study aims to analyze the influence of customer satisfaction and reuse intention on the use of self checkout in the modern Indonesian retail sector. This study used a quantitative approach involving 50 respondents aged 20-51 years who had used self checkout technology. The method used is structural equation modeling (SEM)-PLS.........

[1]. N. Szozda, ―Industry 4.0 and its impact on the functioning of supply chains,‖ LogForum, vol. 13, no. 4, pp. 401–414, 2017, [Online]. Available: http://dx.doi.org/10.17270/J.LOG.2017.4.2
[2]. Ismai, ―E-commerce dorong perekonomian Indonesia, selama pandemi covid 19 sebagai entrepreneur,‖ J. Manaj. dan Bisnis Prodi Kewirausahaan, vol. 2, no. 2, pp. 111–124, 2020.
[3]. M. R. A. Y. Saputra, N. P. Nursiani, R. P. C. Fanggidae, and A. H. J. Fanggidae, ―Analisis Sistem Antrian Pada Ramayana Kupang,‖ GLORY J. Ekon. dan Ilmu Sos., vol. 4, no. 5, pp. 1161–1169, 2023, doi: 10.35508/glory.v4i5.11703.
[4]. T. Economic, ―Penjualan Ritel Indonesia Tahun ke Tahun | 2006-2025 Data | 2026-2027 Perkiraan.‖ Accessed: Dec. 07, 2025. [Online]. Available: https://id.tradingeconomics.com/indonesia/retail-sales-annual
[5]. R. A. D. I. Putra, ―Perancangan dan Implementasi Self-Checkout System pada Toko Ritel menggunakan Convolutional Neural Network ( CNN ),‖ vol. 11, no. 2, pp. 466–478, 2023.

The nonlinear impairments in high-speed optical communication networks are becoming more and more limited by Kerr effects, dispersion-nonlinearity interactions, and amplified spontaneous emission noise. With changes in the transmission systems toward terabit-scale data rates, operation in an ultrawideband and space-division multiplexing architecture, the ability to maintain nonlinearity is critical in maintaining reach, spectral efficiency, and energy performance. The given paper provides a synthesizing overview and categorization of key remedies such as optical phase conjugation, Raman/EDFA hybrid amplification, soliton-based transmission..........

[1]. Agrawal GP. Nonlinear Fiber Optics. 6th ed. Academic Press; 2019.
[2]. Essiambre RJ, Tkach RW. Capacity trends and limits of optical communication networks. Proc IEEE. 2012;100(5):1035-1055.
[3]. Winzer PJ, Neilson DT, Chraplyvy AR. Fiber-optic transmission and networking: the previous 20 and the next 20 years. Opt Express. 2018;26(18):24190-24239.
[4]. Splett A, Kurtzke C, Petermann K. Ultimate transmission capacity of amplified optical fiber communication systems taking into account fiber nonlinearities. Electron Lett. 1993;29(6):563-564.
[5]. Richardson DJ, Fini JM, Nelson LE. Space-division multiplexing in optical fibres. Nat Photonics. 2013;7(5):354-362.

Artificial intelligence (AI) is rapidly emerging as a transformative force with potential to address pressing global challenges in climate change, health, and social policy. However, without deliberate attention to fairness, transparency, and accountability, the risks of reinforcing inequalities, eroding trust, and misaligning with policy priorities remain significant. This article conducts a systematic review and conceptual synthesis of frameworks for responsible AI, and highlight how ethical and governance considerations can shape AI's contribution to global problem-solving...........

[1]. Aguh, P. S., Udu, C. E., Chukwumuanya, E. O., & Okpala, C. C. (2025). Machine learning applications for production scheduling optimization. Journal of Exploratory Dynamic Problems, 2(4). https://edp.web.id/index.php/edp/article/view/137
[2]. Ananny, M., & Crawford, K. (2018). Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 20(3), 973–989. https://doi.org/10.1177/1461444816676645
[3]. Barocas, S., Hardt, M., & Narayanan, A. (2019). Fairness and machine learning. fairmlbook.org
[4]. Benjamin, R. (2019). Race after technology: Abolitionist tools for the New Jim Code. Polity Press.
[5]. Benjamins, V. R., Barbado, A., Sierra, M., & Vidal, J. C. (2021). Bridging AI predictions and decision-making in climate policy. AI & Society, 36(1), 99–113. https://doi.org/10.1007/s00146-020-01092-2

The integration of Artificial Intelligence (AI) in education has transformed how learning is personalized, delivered, and assessed. This article explored the dual dimensions of AI tutors, which enhances cognitive outcomes and addresses equity challenges within automated education systems. Drawing on emerging research and practical developments, the paper examined how AI-driven platforms can improve student engagement, metacognitive skills, and academic achievement through adaptive and individualized instruction. Simultaneously, it highlights critical concerns including algorithmic bias, the digital divide, and disparities in access to quality AI tools among marginalized groups..........

[1]. Aguh, P. S., Udu, C. E., Chukwumuanya, E. O., and Okpala, C. C. (2025). Machine learning applications for production scheduling optimization. Journal of Exploratory Dynamic Problems, 2(4). https://edp.web.id/index.php/edp/article/view/137
[2]. Attali, Y. (2004). Exploring the feedback and revision features of Criterion. Journal of Second Language Writing, 13(4), 255– 272. https://doi.org/10.1016/j.jslw.2004.08.002
[3]. Azevedo, R., Johnson, A., Chauncey, A., and Burkett, C. (2010). Self-regulated learning with MetaTutor: Advancing the science of learning with intelligent tutoring systems. In M. Khine andI. Saleh (Eds.), New science of learning (pp. 225–247). Springer. https://doi.org/10.1007/978-1-4419-5716-0_11
[4]. Bruner, J. S. (1990). Acts of meaning. Harvard University Press.
[5]. Clark, R. C., and Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning (4th ed.). Wiley.

The growing demand for eco-efficient materials has driven the development of biodegradable polymer nanocomposites with enhanced performance and reduced environmental footprint. This study investigates the mechanical, thermal, and biodegradation behavior of Polylactic Acid (PLA) reinforced with three sustainable nanofillers: Cellulose Nanocrystals (CNC), Chitin Nanofibers (ChNF), and Lignin Nanoparticles (LNP). The nanocomposites were prepared via melt blending at 3 wt% filler content, and their structural, thermal, and mechanical properties were systematically characterized.........

[1]. Arrieta, M. P., López, J., Hernández, A., andRayón, E. (2014). Biodegradability of PLA nanocomposites. Polymer Degradation and Stability, 108, 212–220. https://doi.org/10.1016/j.polymdegradstab.2014.06.002
[2]. Avérous, L., and Pollet, E. (2012). Environmental silicate nano-biocomposites. Springer. https://doi.org/10.1007/978-1-4471- 4108-2
[3]. Balakrishnan, P., Ramesh, S., and Shankar, K. (2020). Sustainable nanofillers for biodegradable polymer composites: A review. Journal of Cleaner Production, 263, 121406. https://doi.org/10.1016/j.jclepro.2020.121406
[4]. Battegazzore, D., Bocchini, S., andFrache, A. (2018). Crystallization kinetics of poly(lactic acid)-based composites with natural fillers. Composites Part A: Applied Science and Manufacturing, 107, 246–255. https://doi.org/10.1016/j.compositesa.2018.01.013
[5]. Bordes, P., Pollet, E., andAvérous, L. (2009). Nano-biocomposites: Biodegradable polyester/nanoclay systems. Progress in Polymer Science, 34(2), 125–155. https://doi.org/10.1016/j.progpolymsci.2008.10.002

Climate change poses unprecedented challenges to global food systems, as it threatens productivity, sustainability, and food security. By drawing lessons from global case studies, this article examined the integration of smart and resilient agricultural practices as a pathway to sustainable food systems. By leveraging technologies such as precision farming, remote sensing, and artificial intelligence, smart agriculture optimizes resource use and enhances efficiency, while resilient agriculture, which encompasses agroforestry, conservation practices, and diversified production systems, strengthens adaptive capacity and system stability..........

[1]. Aguh, P. S., Udu, C. E., Chukwumuanya, E. O., and Okpala, C. C. (2025). Machine learning applications for production scheduling optimization. Journal of Exploratory Dynamic Problems, 2(4). https://edp.web.id/index.php/edp/article/view/137
[2]. CASP. (2018). Critical appraisal skills programme (CASP) checklists. https://casp-uk.net/casp-tools-checklists/
[3]. Food and Agriculture Organization. (2022). The state of food and agriculture 2022: Climate change, agriculture, and food security. FAO.
[4]. Garcia, F., Neto, E., and Rodrigues, J. (2017). Conservation agriculture and soil carbon sequestration in Latin America. Agricultural Systems, 152, 1–11. https://doi.org/10.1016/j.agsy.2016.12.004
[5]. Higgins, J. P. T., and Green, S. (Eds.). (2011). Cochrane handbook for systematic reviews of interventions (Version 5.1.0). The Cochrane Collaboration. https://handbook-5-1.cochrane.org/

Cities around the world are increasingly challenged by the intersecting pressures of climate change, technological transformation, and rapid urbanization. Building resilience in this context requires an integrated approach that goes beyond infrastructure durability or digital innovation alone. This article examines how climate-responsive urban design, technological innovation, and human well-being can be combined to create smart and resilient cities. Drawing on multidisciplinary perspectives, it argues that resilience is most effective when ecological adaptation strategies are reinforced by robust digital systems and grounded in human-centered values..........

[1]. Ahern, J. (2011). From fail-safe to safe-to-fail: Sustainability and resilience in the new urban world. Landscape and Urban Planning, 100(4), 341–343. https://doi.org/10.1016/j.landurbplan.2011.02.021
[2]. Aguh, P. S., Udu, C. E., Chukwumuanya, E. O., & Okpala, C. C. (2025). Machine learning applications for production scheduling optimization. Journal of Exploratory Dynamic Problems, 2(4). https://edp.web.id/index.php/edp/article/view/137
[3]. Aldrich, D. P., & Meyer, M. A. (2015). Social capital and community resilience. American Behavioral Scientist, 59(2), 254–269. https://doi.org/10.1177/0002764214550299
[4]. Anguelovski, I., Shi, L., Chu, E., Gallagher, D., Goh, K., Lamb, Z., Reeve, K., & Teicher, H. (2016). Equity impacts of urban land use planning for climate adaptation: Critical perspectives from the global north and south. Journal of Planning Education and Research, 36(3), 333–348. https://doi.org/10.1177/0739456X16645166
[5]. Archer, D., & Dodman, D. (2015). Making capacity building critical: Power and justice in building urban climate resilience in Indonesia and Thailand. Urban Climate, 14, 68–78. https://doi.org/10.1016/j.uclim.2015.06.007

The durability and strength performance of construction materials in coastal environments are crucial for sustainable infrastructure. This study investigates the effect of seawater on the compressive strength of sandcrete blocks in Nembe, Bayelsa State, Nigeria. Sand and water samples were collected from Basambiri (seawater environment) and Amassoma (freshwater environment). Sandcrete blocks were produced using a cement-to-sand ratio of 1:8 and cured for 7, 14, 21, and 28 days with either freshwater or seawater. Compressive strength tests were conducted using a Universal Testing Machine in accordance with ASTM C140/C140M-20 and NIS 87:2000 standards..........

[1]. Anosike, F. (2011). Concrete and Sandcrete Technology. Lagos: Civil Engineering Press.
[2]. Ede, A., & Joshua, T. (2015). Effect of seawater on concrete durability in coastal regions. Journal of Nigerian Civil Engineering, 12(2), 45–52.
[3]. Faladde, F. (1999). Effects of separation of grain sizes of fine aggregate on properties of concrete containing granite fines. Journal of University of Science and Technology, Ghana, 19(1,32), 62–66.
[4]. Florek, A. (1985). Quality of sandcrete hollow blocks manufactured in Northern Nigeria. Conference on Material Testing, Federal Ministry of Works and Housing, Lagos.
[5]. Ikponmwosa, O., & Salau, M. (2010). Long-term performance of cement-based blocks exposed to saline environments. International Journal of Materials Science, 8(4), 112–119.

Healthcare Waste Management (HCWM) is a critical global issue due to environmental and health implications. This study aimed to determine suitable locations for healthcare waste (HCW) treatment centreand optimal routes for the collection of HCW from hospitals to achieve a sustainable HCWM in Ilorin, Kwara State, Nigeria. Key criteria influencing waste facility location were evaluated by experts, and analysed using the Analytic Hierarchy Process to determine priority weights. ArcMap, a Geographic Information System (GIS) tool utilized these weights to create location suitability maps for HCW treatment centre..........

[1]. Aarthi, P. M., & Francina, J. (2018). Site Selection and Route Optimization for Solid Waste Disposal for Tiruchirappalli Corporation using GIS. International Journal of Engineering Research & Technology (IJERT), 6 14, pp. 1-6.
[2]. Ahuja, R. K., Magnanti, T. L., && Orlin, J. B. (1993). Network flows: Theory, algorithms, and applications. Pearson Prentice Hall.
[3]. Alagoz, A. Z., &Kocasoy, G. (2007). Improvement and modification of the routing system for the health-care waste collection and transportation in Istanbul. Waste Management, 28(2008), 1461–1471. doi:10.1016/j.wasman.2007.08.024
[4]. Aremu, A. S. (2013). In-Town Tour Optimization of Conventional Mode for Municipal Solid Waste Collection. Nigerian Journal of Technology, 32(3), 443 – 449.
[5]. Asefa, E. M., Barasa, K. B., & Mengistu, D. A. (2022). Application of Geographic Information System in Solid Waste Management. Geographic Information Systems and Applications in Coastal Studies, 1-22. doi:http://dx.doi.org/10.5772/intechopen.103773

This article examines the limits and potential of integrating green hydrogen and data centers within an energy transition framework that calls for sustainable and inclusive solutions capable of meeting growing electricity demands. The study followed a qualitative approach and relied on two research procedures: a literature review and a document-based investigation. The literature review brought together theoretical contributions on energy transition, regulation, and electrical infrastructure, while the document-based investigation involved the analysis of technical reports, regulatory instruments, and institutional guidelines...........

[1] Alonso, A. (2024). The multicolor of energy: Challenges and opportunities for the energy transition. Mexico City: Universidad Autónoma Metropolitana.
[2] ANEEL – Brazilian Electricity Regulatory Agency. (2012). ANEEL Normative Resolution No. 482 of April 17, 2012. Official Gazette of the Union, April 17, 2012.
[3] ANEEL – Brazilian Electricity Regulatory Agency; EPE – Energy Research Company; IEA – International Energy Agency. (2021). Module 7.1 of the Tariff Regulation Procedures (PRORET). Approved by ANEEL Normative Resolution No. 912/2021.
[4] Baptista, D. F. F., Silva, L. C. P., & Fonseca, I. C. (2022). The legal nature of distributed electricity generation in Brazil. RDP – Journal of Public Law, 19(104). ISSN 2236-1766. https://doi.org/10.11117/rdp.v19i104.6956
[5] Brasil. (2022). Law No. 14.300 of January 6, 2022. Establishes the legal framework for distributed microgeneration and minigeneration, the Electricity Compensation System (SCEE) and the Social Renewable Energy Program (PERS). Official Gazette of the Union, January 6, 2022.

Common prosperity constitutes an essential requirement of socialism and a defining feature of Chinese-style modernisation. This paper conducts an in-depth study of the implementation of common prosperity initiatives in Province Z. By evaluating the progress made across its 11 prefecture-level cities, it analyses the state of common prosperity development from multiple dimensions. The aim is to identify shortcomings in the implementation process and thereby provide recommendations for advancing common prosperity.

[1]. Qiu Haiping. The Scientific Implications and Realisation Pathways of Common Prosperity [J]. Review of Political Economy, 2016(4): 21–26.
[2]. Hu Zejun. Chinese State Auditing [M]. Beijing: China Times Economic Press, 2019.
[3]. Liu Peilin, Qian Tao, Huang Xianhai, et al. The Connotation, Realisation Pathways and Measurement Methods of Common Prosperity [J]. Management World, 2021, 37(8):117–129.
[4]. Li Xiaodong, Ma Yuanju. National Auditing Promoting Rural Revitalisation: Logical Mechanisms and Pathway Construction [J]. Monthly Journal of Finance and Accounting, 2021(12):1-10.
[5]. Li Shi. The Objectives and Pathways for Achieving Common Prosperity [J]. Economic Research Journal, 2021, 56(11): 4–13.
[6]. Zhang Wei. Research on Pathways for Government Auditing to Advance Common Prosperity [J]. Accounting Journal, 2022(3): 86-91.

Nowadays building maintenance is not easy to handle. In building maintenance there is a huge rolling glass maintaining, especially in high –rise building, those things are still maintaining by manpower. To achieve high quality result for that kind of cleaning, the maintenance group and others must give high contribution Effect. To get effective output, have to get the secondary data from reputed websites hence it will lead to the false results project output, after gathering those things, have to simulate that obtained data. In this design project simulation part will be the most important part to consider...........

[1] Abdul Aabid, 2022. Reviews on Design and Development of Unmanned Aerial Vehicle (Drone) for Different Applications Article in Journal of Mechanical Engineering Research and Developments, Pp-53-69.
[2] Luis Miguel González deSantos, 2021.Operational Study of Drone Spraying Application for the Disinfection of Surfaces against the COVID-19 Pandemic. MDPI Journals.
[3] S.Rehman, 2022. Cleaning of photovoltaic panels utilizing the downward thrust of a drone. MDPI, Energies.

Audio deepfakes produced by generative adversarial networks (GANs), WaveNet, and voice converter systems provide significant challenges to speech authentication, with bypass rates of 85-92% against conventional spectrum verification techniques, including MFCC and formant analysis. This systematic review uses PRISMA approach to combine 28 peer-reviewed articles (2019–2025) and look at emotion profiling as a behavioral biometric countermeasure. Meta-analysis shows that emotion-aware detection has an average equal error rate (EER) of 3.4%, which is a 62% improvement over the 8.9% spectral baselines..........

[1]. Chen, X., Y. Li, Z. Zhao, et al. 2025. "Audio Deepfake Detection: What Has Been Achieved and What Lies Ahead." Sensors 25 (7): 1989. Accessed July 23, 2025.
[2]. Bustamante, Constanza M. Vidal, Karolina Alama-Maruta, Carmen Ng, and Daniel DL Coppersmith. "Should machines be allowed to 'read our minds'? Uses and regulation of biometric techniques that attempt to infer mental states." MIT Science Policy Review 3 (2022).
[3]. Mulligan, Joshua. Behavioural biometrics: A novel approach to user authentication in information systems security. 2024.
[4]. Dehghani, Arash, and Hossein Saberi. "Generating and detecting various types of fake image and audio content: A review of modern deep learning technologies and tools." arXiv preprint arXiv:2501.06227 (2025).
[5]. Hery, Andrew, Oluwaseyi Joseph, Olaoye Femi, and Hivez Luz. "Audio Deepfakes: Threats to Voice Assistants and Voice-Activated Systems." (2024).

The proposed IoT-enabled soil health monitoring system is an intelligent solution, providing real-time analysis of soil state and sustainability in agriculture. Conventional soil testing techniques are frequently time-consuming, laborious work, and cannot reflect the dynamic fluctuation of soil properties. Using Internet of Things (IoT) and incorporating sensors, wireless communication and data analytics, the system constantly tracks in real-time important soil parameters like pH, moisture content, temperature and nutrients (N,P,K levels). The data collected are uploaded to a cloud service for further analysis, allowing farmers to base irrigation, fertilization and crop management decisions on data.........

[1]. M. Marie, Mohr. Rodman, R. Sam and Z. Janin, "Detection of Nitrogen, Phosphorous and Potassium (NPK) nutrients of soil using Optical Transducer", Proc. of the 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) 28-30 November 2017, Putrajaya, Malaysia
[2]. N. Singh and A. Shaligram, "D. NPK Measurement in Soil and Automatic Soil Fertilizer Dispensing Robot,"International Journal of Engineering Research & Technology, vol. 3, no. 7, pp. 635-637, 2014.
[3]. D.V. Ramane, S. S. Patil, and A. Shaligram, "Detection of NPK Nutrients of Soil Using Fiber Optic Sensor," in International Journal of Research in Advent Technology (E-ISSN: 2321-9637) Special Issue National Conference "ACGT, 2015, pp. 13-14.
[4]. M. Futagawa, T. Iwasaki, H. Murata, M. Ishida, and K. Sawada, "A miniature integrated multimodal sensor for measuring pH, EC and temperature for precision agriculture," Sensors, vol. 12, no. 6, pp. 8338–8354, 2012.
[5]. Bhatnagar, and R. Chandra, "loT -based soil health monitoring and recommendation system," Internet ofThings and Analytics for Agriculture, vol. 2, pp. 1–21, 2020.

This study examines the effect of Total Quality Management (TQM) practices on organizational performance in the South-East states of Nigeria. Anchored on Deming's Quality Improvement Theory and the Resource-Based View (RBV), the study investigates how leadership commitment, employee involvement, customer focus, and process management influence organizational performance indicators, including operational efficiency, profitability, innovation capability, and customer satisfaction. A quantitative research design was adopted using a cross-sectional survey approach..........

[1]. Adebayo, T. S., & Okolie, P. I. (2022). Total quality management practices and performance of manufacturing firms in Nigeria. International Journal of Management Research and Business Strategy, 11(2), 45–59.
[2]. Adebayo, T., & Ojo, O. (2020). Total quality management and competitiveness of manufacturing firms in Nigeria. International Journal of Quality & Reliability Management, 37(4), 829–845.
[3]. Al-Dhaafri, H. S., Al-Swidi, A., & Yusoff, R. Z. (2016). The mediating role of total quality management between the entrepreneurial orientation and the organizational performance. The TQM Journal, 28(1), 89–111.
[4]. Aminu, A., & Musa, H. (2018). Leadership involvement and TQM outcomes in industrial clusters. African Journal of Management Studies, 10(2), 88–104.
[5]. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.

The discussion on the circular economy has gained increasing prominence in the educational field due to its direct relationship with the environmental, social, and formative challenges faced by contemporary society. Within the context of basic education, this debate is particularly relevant as it enables the articulation of curricular content, pedagogical practices, and values oriented toward sustainability and citizenship, thereby contributing to the development of critical and socially responsible individuals. For the development of the research, a qualitative approach was adopted, as it allows for an interpretative understanding of the meanings, concepts, and orientations present in the academic production analyzed.........

[1] Corrêa, M. M., & Ashley, P. A. (2021). Sustainable development, sustainability, environmental education, and education for sustainable development. Estudo & Debate, 28(3), 161–180. ISSN 1983-036X.
[2] Costa, A. L. do N., & Alves, F. I. B. M. (2021). Sustainability and recycling in early childhood education. Id on Line Revista de Psicologia, 15(58), 33–48. ISSN 1981-1179. https://doi.org/10.14295/idonline.v15i58.3281
[3] Costa, F. W. D., & Aguiar, P. R. (2020). The formation of ecological citizenship articulated with environmental education at school. Revista Cerrados, 18(2), 245–274. e-ISSN 2448-2692. https://doi.org/10.46551/rc24482692202017
[4] Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.
[5] Gomes, D. F. da S., & Chagas, K. K. N. (2024). Environmental education in early childhood education: Methodologies used and their importance in the formation of multiplier agents. Ensino, Saúde e Ambiente, 17. https://doi.org/10.22409/resa2024.v17.a65956

The Purwokerto Class IIA Correctional Institution, located at Jalan Pasukan Pelajar Imam No. 10, is one of the correctional institutions in Central Java province tasked with providing guidance, counselling and care to inmates. Currently, the Purwokerto Class IIA Correctional Institution, in accordance with the condition of the building, is supposed to house 488 inmates, but in practice, there are 950 inmates, which means that it is over capacity. This situation has a direct impact on the 102 correctional officers at the Purwokerto Class IIA Correctional Institution, who face high work risks and heavy workloads.........

[1]. Amstrong, M. (2014). Armstrong's Handbook of Performance Management: An Evidence-Based Guide to Delivering High Performance. Kogan Page.
[2]. Bretz, R. D., & Judge, T. A. (1994). Person–Organization Fit and the Theory of Work Adjustment: Implications for Satisfaction, Tenure, and Career Success. Journal of Vocational Behavior, 44(1), 32–54. https://doi.org/10.1006/jvbe.1994.1003
[3]. Dermawan, D. (2018). Manajemen Sumber Daya Manusia. Bandung: Alfabeta.
[4]. Dessler, G. (2017). Human Resource Management (15th ed.). Pearson Education.
[5]. Fauzi, A., & Nugroho, Y. (2020). Pengaruh Motivasi dan Lingkungan Kerja terhadap Kinerja Pegawai. Jurnal Ilmu Manajemen dan Akuntansi Terapan, 11(2), 1–12.

This study aims to analyze the influence of the implementation of Green Accounting and Good Corporate Governance (GCG) on chemical companies in the sector chemicals listed on the Indonesia Stock Exchange (IDX) for the 2020–2023 period. Green Accounting is measured using environmental cost indicators through analysis of company documents, while GCG is proxied by ownership and managerial control. The firm value is calculated using the Tobin's Q ratio as an indicator of market efficiency and investor perception.........

[1] DS Cahyaningsih, P. Tutuko, and E. Lisetyati, "Green Accounting and Green Building in GCG Mechanisms, And Financial Performance," Int. J. Adv. Eng. Manag., vol. 6, no. 1, pp. 151–156, 2024.
[2] RD Cairns, "Principles of green accounting for renewable and nonrenewable energy resources," Energy Policy, vol. 32, no. 2, pp. 261–267, 2004, doi: https://doi.org/10.1016/S0140-6701(04)94542-0.
[3] MED Tunti, KDL Mutia, and LL Ga, "Analysis of Green Accounting Implementation Based on University Social Responsibility (Study at Nusa Cendana University Kupang)," vol. 103, no. Teams 19, pp. 381–389, 2019, doi: 10.2991/teams-19.2019.61.
[4] MHC Saputra, No. THE EFFECT OF THE IMPLEMENTATION OF GREEN ACCOUNTING AND CSR ON COMPANY VALUE WITH GOOD CORPORATE GOVERNANCE AS A MODERATING VARIABLE CASE STUDY OF MINING SECTOR COMPANIES ON THE IDX, vol. VIII, no. I. 2023.
[5] C. Spence, N. Chabrak, and R. Pucci, "Doxic sunglasses: A response to 'Green accounting and Green Eyeshades: Twenty years later,'" Crit. Perspect. Accounts., vol. 24, no. 6, pp. 469–473, 2013, doi: https://doi.org/10.1016/j.cpa.2013.05.002.