Digital Commons Network^™

Latent And Sensible Heat Flux In The Red Sea And Gulf Of Aden Using The Nemo Ocean Model Simulation, Moaath Ghanem, Yassir Albouraee, Mohammed A. Alsaafani, Alaa Albarakati

Journal of King Abdulaziz University: Marine Science

The new configuration of NEMO (Nucleus for European Modelling of the Ocean) model in the Red Sea and Gulf of Aden was presented for analyzing latent heat flux (LHF) and sensible heat flux (SHF) patterns in the region. The model was setup with 1/20° horizontal resolution and 30 vertical layers, using ERA5 atmospheric data for surface forcing. The model output for LHF, and SHF was compared with KAUST-Buoy observations and many reanalysis products (the French Research Institute for Exploitation of the Sea (IFREMER) surface turbulence fluxes, Japanese Ocean Flux Data Sets with Use of Remote Sensing Observations (J-OFURO3), Objectively Analyzed …

Optimizing Kappaphycus Alvarezii Seedlings: Acclimatization And Cultivation Methods For Sustainable Seaweed Seed In Lombok Kodek Bay, Dasep Hasbullah, Fahrurrozi Fahrurrozi, Gagan Garnawansah, Zaenal Arifin Siregar, Wahyu Purbiantoro, Moh. Awaludin Adam, Idham Sumarto Pratama, Nurhalis Tarmin, Balkam F. Badi, Abdul Wahab, Raismin Kotta

Journal of King Abdulaziz University: Marine Science

This study explores the combined[-10pc]AU: Please specify the corresponding author name. effects of cultivation methods and acclimatization durations on the growth performance of Kappaphycus alvarezii, a tropical seaweed widely utilized in biostimulants and bioplastics. Cultivation methods included monoculture of Spinosum (SNP), monoculture of Cottonii (DNP), and polyculture of Spinosum and Cottonii (PSP), while acclimatization treatments involved durations of 0, 2, and 4 days before planting (DBA). Results demonstrated that the SNP system achieved the highest productivity, with maximum weight (142.8 g) and relative growth rate (RGR) of 3.21% per day observed under 0 DBA. The 2 DBA treatment was …

Third Place And Nostalgia In Postcolonial Jakarta: Adaptive Reuse Of Cikini Post Office, Ade Ariyani Sari Fajarwati, Mochamad Aviandy

Paradigma: Jurnal Kajian Budaya

The transformation of space in postcolonial cities extends beyond the restoration of old buildings; it involves cultural practices that reshape collective memory and identity. Through adaptive reuse, colonial-era heritage spaces are revitalised as social hubs. This study examines Post Kantoor cafe, a former colonial post office turned into a “third place” within urban spatial culture. Using qualitative methods—visual observation, spatial documentation, and a literature review—the study finds that nostalgic aesthetics, evident in antique artefacts, colonial atmospheres, and curated visuals, foster emotional connections across generations and social classes. More than a site of consumption, the cafe becomes a space for dialogue, …

Challenges In Implementing Artificial Intelligence In Academic Libraries In Oman: The Case Of University Libraries, Asma Abdullah Alabbadi, Jamal Matar Al-Salmi, Sallam Osman Fageeri, Nour Eldin Mohamed Elshaiekh

Journal of Arts and Social Sciences

This research explores the challenges encountered by Omani academic libraries in adopting and using artificial intelligence (AI) technologies. Through qualitative research that included interviews with decision-makers and technical staff, the research identified four main categories of challenges: financial, human, administrative, and technical/security. The findings revealed that high costs, limited budgets, inadequate training, resistance to change, and weak infrastructure were among the key obstacles, with most libraries relying on basic AI functionalities while advanced applications remain largely underutilized. Despite these challenges, the research uncovered a willingness among institutions to adopt AI, supported by efforts such as organizing workshops, employing cost-effective tools, …

Navigating The Role Of Ai In Research In The Global South: A Collective Autoethnography From Researchers In The Philippines, Iraq, And Malaysia, Louie Giray, Ahmed Alkhaqani, Nurliana Kamaruddin

Khazar Journal of Humanities and Social Sciences

This paper investigates the transformative impact and ethical dilemmas of integrating artificial intelligence into the workflows of researchers from the Global South, specifically the Philippines, Iraq, and Malaysia. Through collective autoethnography, the authors analyze how AI tools function as both equalizers and disruptors in resource-constrained academic environments. The findings reveal that AI significantly enhances productivity by dismantling language barriers for non-native English speakers, streamlining literature searches, and democratizing access to global scholarship. However, these benefits are accompanied by profound challenges, including the risk of over-reliance, the proliferation of AI hallucinations, and the potential erosion of critical thinking skills. The authors …

Ai Detection Tools: A Systematic Review Of Empirical Evidence And Their Implications For Education, Halime Nuran Caner

Khazar Journal of Humanities and Social Sciences

The rapid advancement of generative artificial intelligence has significantly transformed academic writing practices, prompting institutions to implement tools designed to verify authorship and uphold academic integrity. Artificial intelligence detection systems have emerged as a prominent, albeit increasingly debated response to these challenges. This systematic review synthesizes empirical evidence to assess the reliability, fairness, and pedagogical implications of artificial intelligence text-detection tools in educational settings. Adhering to PRISMA 2020 standards, this review identified twenty-five peer-reviewed empirical studies, 18 of which were conducted directly within educational settings. This review synthesizes empirical studies published between 2022 and 2025, encompassing quantitative, qualitative, and mixed-methods …

Uji Kelayakan Teknis Dan Performa Auvest: Rompi Pendingin Otomatis Berbasis Wearable Thermoelectric Cooler Untuk Mitigasi Risiko Heat Stress, Muchammad Adam Wildan, Amelia Avril Rayhana, Nadia Hanifan Nabila, Bian Shabri Putri Irwanto

National Journal of Occupational Health and Safety

Heat stress is a serious threat to construction workers that can reduce productivity and even threaten lives. Existing cooling vest innovations still have limitations, such as weight, manual systems, and the risk of leakage. This study aims to analyze the effectiveness of the Automatic Vest (AUVEST), an automatic cooling vest based on Wearable Thermoelectric Cooler and the Internet of Things (IoT), in preventing the risk of heat stress. The method used is experimental with trials on one construction worker in indoor and outdoor environments. AUVEST is equipped with temperature sensors (DS18B20, TMP102) and humidity (DHT11), whose data is processed by …

Ethnic Diversity In Uk Bioscience: Structural Biases And Recommendations For Action, Yusra Siddiqui, Prachi Stafford, Emmanuel Adukwu, Nicholas Freestone, Tina Lovleen Joshi, Emma Yhnell, Katharine Hubbard

Peninsula Dental School

Scientific research is more innovative and impactful when scientists are drawn from diverse backgrounds. However, the scientific community does not reflect the demographics of wider society. Global Majority communities remain underrepresented within science, particularly within senior leadership roles. Here we explore ethnic diversity within UK academic biosciences, using publicly available staff and student demographic data from the UK Higher Education Statistics Authority. We use the Simpson index as a quantitative measure of diversity within the biosciences and construct linear mixed effect models to identify significant predictors of both student and staff ethnic diversity. For staff, there were significant negative effects …

Penggunaan Media Pembelajaran Kahoot Untuk Meningkatkan Motivasi Belajar Siswa Pada Pembelajaran Ips Di Smp, Fara Wahyu Aziza, Galuh Raka Prana, Hanifa Nur Fadhilah, Indah Nor Janah, Maria Rut Ningsi Arakian, Ni Gusti Nyoman Desianti, Syamsul Bachri, Ria Nuzul Fahrudin

Journal of Innovation and Teacher Professionalism

One of the main challenges in junior high school Social Studies is low student motivation. Many students perceive the subject as heavily based on memorization, making it feel monotonous and less engaging. To address this problem, the study aimed to analyze the effectiveness of Kahoot! as an instructional medium for increasing student motivation in Social Studies at SMP Negeri 13 Malang. A qualitative descriptive approach was used with Grade IX students as participants. Data were collected through observation, interviews, and documentation and analyzed using an interactive model consisting of data reduction, data display, and conclusion drawing. The findings showed that …

Re: Conditional Approval For The Butte Priority Soils Operable Unit (Bpsou) Revised Unreclaimed Sites Ur-08 (Anderson Shaft) – Remedial Action Work Plan (Rawp) (Dated October 24, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 32 – Corra 2 Dump Site Evaluation Summary Report (Dated October 24, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 30 – Atlantic-1 Site Evaluation Summary Report (Dated October 24, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Donation Collection Method: Nudging To Minimize Cost Aversion, T. Ezni Balqiah, Dianti E. Kusumawardhani

ASEAN Marketing Journal

Manuscript type: Research Article

Research Aims: to analyze the effect of donation collection method (allocation vs addition) and the level of materialism on attitude, total donation amount, program donation amount, and cost donation amount.

Design/methodology/approach: This study used a between-subjects design with randomization. Data was collected through questionnaires administered to participants 18 years old and above, who are Indonesian citizens, resulting in 208 participants (102 participants in the Addition condition and 106 participants in the Allocation condition), and analyzed by ANCOVA.

Research Findings: the result demonstrated only four hypotheses are supported that the significant role of …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 38 – Sister Dump Site Evaluation Summary Report (Dated September 30, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Unreclaimed Sites Sampling: Ur-20 Site Evaluation Summary Report (Dated October 24, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 37 – Josephine Shaft Site Evaluation Summary Report (Dated October 16, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Unreclaimed Sites Sampling: Ur-13 Site Evaluation Summary Report (Dated October 22, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Control Strategies For 6-Dof Quadcopter Uavs: Cascade Pid Stabilization In White Noise Conditions, An Vo Van, Hung Ha Duy

Makara Journal of Technology

In this study, a cascade PID control structure is proposed and implemented for a 6-degree-of-freedom (6-DOF) unmanned aerial vehicle (UAV) to enhance stability and trajectory tracking capabilities under both noise and non-noise conditions. The controller was designed based on the Tyreus–Luyben tuning method and was evaluated using quantitative metrics, including rise time, settling time, overshoot, and steady-state error. Simulation results on MATLAB/Simulink show that the controller achieves high performance in angular channels (ϕ, θ, ψ) and altitude (z) with a short rise time (< 2s), slight overshoot (< 1%), and nearly eliminated steady-state error. However, the horizontal position channels (x, y) have a longer settling time (~110s) and are sensitive to white noise. Quantitative comparisons with other control methods show that the cascade PID outperforms the standard PID in terms of accuracy and stability, achieving a performance comparable to LQR under noise-free conditions, but is less robust in the presence of noise than advanced methods like SMC and MPC. These results confirm the feasibility of cascade PID in UAV applications and indicate potential future improvements by integrating nonlinear, adaptive, or intelligent control strategies.

Dual-Interface Wifi Packet Sniffer System Using Esp32-Cam With Real-Time Pcap Generation For Iot Network Analysis, Boy Setiawan Boy, Maghfiroh Maulani, Zico Pratama Putra, Muhammad Senoyodha Brennaf

Makara Journal of Technology

This study focuses on designing and implementing a cost-effective and energy-efficient WiFi packet sniffer system using the ESP32. The ESP32-CAM module, which combines WiFi, Bluetooth, and microSD support, is used to capture IEEE 802.11 frames in real-time via promiscuous mode. Packets are stored in packet capture format, which is compatible with tools such as Wireshark and Scapy. Developed using the official ESP-IDF, it offers low-level control and high performance. Two user interfaces were implemented: a UART-based text menu and a web-based HTTPS menu hosted on the ESP32 itself. Functional and performance evaluations were conducted with a focus on capturing broadcast …

Penerapan Media Card Education Output Untuk Meningkatkan Keterlibatan Aktif Siswa Smp Pada Materi Mengapresiasi Kebudayaan Lokal, Thania Carolline, Abd. Mu'id Aris Shofa

Journal of Innovation and Teacher Professionalism

This study aimed to explore the use of various instructional media to support effective classroom learning. A qualitative descriptive case-study approach was employed. The participants were 30 Grade X students at SMP Muhammadiyah 01 Malang. Data were collected through classroom observations, interviews with teachers and students, and analysis of learning documents. Data were analyzed using the Miles and Huberman interactive model, which includes data reduction, data display, and conclusion drawing. The findings showed that the use of varied instructional media, including social media and digital technology, increased student engagement and enriched their learning experiences. Traditional instructional media also continued to …

Optimalisasi Kreativitas Siswa Melalui Model Pembelajaran Pjbl Dengan Keterlibatan Aktif Dalam Mata Pelajaran Pemrograman Berbasis Objek, Wenda Aditama, Hakkun Elmunsyah, Aktia Arigiana Umami

Journal of Innovation and Teacher Professionalism

Low creativity in Object-Oriented Programming is associated with limited student involvement in determining the learning process. This study aimed to evaluate improvements in student creativity through project analysis in Object-Oriented Programming under the Merdeka Curriculum at SMK Negeri 6 Malang. A quantitative quasi-experimental method was used. The population consisted of two Grade XI Software Engineering classes, while the sample was one class, XI RPL 1, which received treatment over two cycles. Student creativity data were collected through tests and creativity assessment sheets and analyzed using a t-test. The results showed that project-based learning within the Merdeka Curriculum improved student creativity. …

Real-Time Deep Learning Detection Of Toraja Carving Motifs Using Yolo11m For Cultural Heritage Preservation, Herman Herman, Farid Wajdi Mufti, Abdul Rachman Manga, Haidawati Nasir

Knowledge Engineering and Data Science

Toraja carvings are an important part of Indonesia’s cultural heritage, rich in symbolic, aesthetic, and philosophical meaning. However, the identification and preservation of carving motifs still rely on subjective, time-consuming manual processes, limiting scalability and inconsistent knowledge transmission. From a Knowledge Engineering and Cognitive Data Science perspective, this challenge highlights the need for mechanisms that can transform visual cultural artifacts into structured, machine-interpretable knowledge. This study investigates the use of the YOLO11m model as a data-driven approach for modeling cultural knowledge through automated detection of three Toraja carving motifs: pa_tedong, pa_kapu_baka, and pa_manu_londongan using original images collected directly from traditional …

Benefits And Challenges Of Documentary Video For Social Learning: A Systematic Review, Andhika Yudha Pratama, Evania Yafie, Daya Negri Wijaya, Heni Masruroh

Journal of Innovation and Teacher Professionalism

Social learning refers to the process of observation through which individuals acquire and refine behaviors. It plays a crucial role in helping individuals differentiate between appropriate and inappropriate actions. Documentary videos can enhance this learning process by providing observational opportunities through the figures depicted in the videos. This article reviews studies on the advantages and challenges of using documentary videos in social learning. A systematic literature review method was employed, incorporating 23 studies—18 focusing on the benefits and 5 addressing the challenges of documentary videos. The studies were collected from Google Scholar, Taylor & Francis, Elsevier, Wiley, and SAGE Journals. …

Applications Of Artificial Intelligence In Dental Malocclusion: A Scoping Review Of Recent Advances (2020-2025), Man Hung, Owen Cohen, Nicholas Beasley, Cairo Ziebarth, Connor Schwartz, Alicia Parry, Martin S. Lipsky

Institute on Aging Publications

Introduction:

Dental malocclusion affects more than half of the global population, causing significant functional and esthetic consequences. The integration of artificial intelligence (AI) into orthodontic care for malocclusion has the potential to enhance diagnostic accuracy, treatment planning, and clinical efficiency. However, existing research remains fragmented, and recent advances have not been comprehensively synthesized. This scoping review aimed to map the current landscape of AI applications in dental malocclusion from 2020 to 2025. Methods: The review followed the Joanna Briggs Institute methodology and the PRISMA-ScR guidelines. The authors conducted a systematic search across four databases (PubMed, Scopus, Web of Science, and …

Untouchable Beauty Of Everyday Aesthetics In Wim Wenders’ Perfect Days, Nindya Galuh Fatmawati, Agni Saraswati

Paradigma: Jurnal Kajian Budaya

Wim Wenders, in his latest film Perfect Days (2023), presents an everyday aesthetic experience conveyed through a visually striking aesthetic characterized by a "peaceful" gaze. This study aims to explore the everyday aesthetics depicted in Perfect Days, which align with traditional Japanese aesthetics, specifically wabi-sabi. The analysis is framed using Todd McGowan's Cinema of Desire theory. The research employs a qualitative descriptive method to examine the subject and utilizes a Psychoanalytic approach for analysis. The findings reveal that object ‘a’ in Perfect Days is highlighted through mise-en-scène and music, as these two cinematic elements facilitate a moment of …

The Non-Reciprocity Of Cultural-Ecological Resilience In Eastern Sumba, B. Retang Wohangara

Paradigma: Jurnal Kajian Budaya

Resilience is one key concept of culture and ecology. It highlights a particular system's adaptive and thriving capacities in facing various challenges. This research-based article investigates the reciprocity of cultural-ecological resilience in three traditional communities in Eastern Sumba. It starts with the examination of cultural resilience and ecological resilience using five and seven qualitative indicators, respectively. The last part of the discussion analyzes how culture and ecology reciprocate in the given communities. The research employs a descriptive qualitative method. Data are collected by conducting mini-ethnographic field research for interviews, documentation, and focus group discussions. Using the five and seven indicators …

Simulation-Based Assessment Of Operational Strategies For Visibility-Responsive Variable Speed Limits, Jiyeon Ban

Theses

Managing speed limits in adverse weather is crucial for highway safety. Variable Speed Limit systems aim to adjust speed limits according to weather conditions, yet many traffic management centers depend on manual operator judgment. Rapid visibility fluctuations, along with operators handling multiple responsibilities, can cause delays in responding to deteriorating conditions, increasing the risk of rear-end collisions. A VSL control strategy is developed using real-time Road Weather Information System data to enable more proactive and effective adjustments. Microsimulation analysis indicates that visibility-responsive VSL operations can reduce conflicts by 59% in fog. Applying VSL only to fog-affected sections yields clear safety …

Evaluating Stormwater & Carbon Benefits Of Urban Street Trees, Anthony J. Rodriguez Diaz

Theses

Urban areas experience a multitude of environmental challenges, including flooding and air pollution. In response to these pressures, urban forests have emerged as an essential nature-based strategy to enhance resilience and reduce climate-related risks. The implementation and expansion of urban street trees further contribute to this effort by mitigating stormwater runoff and reducing atmospheric carbon emissions.

Fortunately, advances in environmental modeling have made it increasingly possible to quantify these ecosystem services using specialized software. The United States Department of Agriculture (USDA) Forest Service's i-Tree suite exemplifies this progress. The software provides a comprehensive set of tools designed to quantify environmental …

A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante

Theses

The warehousing industry in New Jersey remains a vital component of the region's logistics network, employing more than 200,000 workers who routinely engage in lifting, bending, overhead reaching, and other physically demanding activities. These exposures contribute to musculoskeletal disorder (MSD) rates that exceed national averages, particularly affecting the low back and shoulders. Nationally, MSDs account for an estimated $420 billion in combined direct and indirect costs each year, underscoring the need for interventions that can effectively reduce biomechanical strain. Industrial exoskeletons have emerged as a potential solution, with prior research demonstrating reductions in muscle activation, perceived exertion, and fatigue during …

How Esg Performance Influences Financial Performance In Europe: Unpacking The Mediation Effect Of Green Innovation, Esa Panganti Widoretno, Anawinta Choirunnisa, Mirza Aulia Nur Fajri

Jurnal Akuntansi dan Keuangan Indonesia

Background: Global sustainability challenges and EU regulations, such as Directive 2014/95/EU, drive firms to adopt ESG practices, yet their financial impact remains debated. ESG initiatives are increasingly important for transparency, competitiveness, and alignment with the UN Sustainable Development Goals. In this context, green innovation emerges as a potential pathway to transform ESG commitments into tangible business value. Method: This study employed a regression model using the SPSS PROCESS macro (Model 4) with bootstrapping (95% CI) to analyze direct and indirect effects of ESG, green innovation, and financial performance in European energy, utilities, materials, and industrial sectors. Findings: The results …