Improvement Of Ultrasonic-Convective Equipment And Beetroot (Beta Vulgaris L.) Drying Process, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, R. M. Najafli

Technical science and innovation

In the world, the air-dried food market is seeing rapid expansion, valued at USD 103.26 billion in 2021, out of which the Asia Pacific region consumed the maximum amount. The freeze-dried vegetable and fruit market is predicted to reach USD 132.7 billion by 2027. Processed vegetables are also exported to a large extent from India. Uzbekistan recorded excellent development in agriculture in 2024, with record harvests, better yields, and use of advanced machinery. Azerbaijan also demonstrated good agriculture growth and export performance. Beetroot has now been identified as a functional food containing bioactive compounds like betaines and dietary fiber that …

Optimization Of Drilling And Blasting Parameters Taking Into Account The Physical And Mechanical Properties Of Rocks And Characteristics Of Blast Load, Shuhratulla Atoevich Ochilov

Technical science and innovation

This article provides a detailed study of the physical and mechanical processes occurring during explosive crushing of rocks, with a special emphasis on the formation of cracks and changes in the granulometric composition of the massif. The main attention is paid to the influence of the blast loading parameters - the specific consumption of explosives (BC), charge diameter and line of least resistance (LLR) - on the average size and distribution of rock pieces. The distribution of the explosion energy for crushing, heat losses, seismic and impact effects, as well as the role of the energy transfer coefficient, depending on …

Methodology For Creating An Intelligent Mechatron Module Based On A Synergistic Approach, Nurbek Rustamovich Matyokubov, Temurbek Omonboyevich Rakhimov

Technical science and innovation

This article is devoted to the methodology of creating an intelligent mechatron module based on a synergistic approach. Creating a multi-coordinate intelligent mechatron module and expanding the functional capabilities of the controlled object based on them, allows to optimize the dynamic characteristics. Also, the methodology for creating an intelligent mechatronic module based on a synergistic approach allows for the integration of electrical, magnetic, and mechanical components into a single circuit, the integration of technical parameter modification, and the integration of processing functions into a single information-measuring module. In addition, the article proposes a Eurorhythm scheme for expressing how …

Development And Justification Of The Structurally-Free Rod Design For Composite Spindles Of Vertical-Spindle Cotton Picking Machines, Nortoji Baratovich Baratov

Technical science and innovation

At present, the light industry constitutes a significant share of the economies of leading countries around the world. Notably, the cotton industry holds a prominent position within the light industry sector. The cultivation of cotton fiber and the harvesting of mature crops without compromising fiber quality represent complex and delicate processes. In order to carry out these operations rapidly and efficiently, various cotton harvesting machines have been developed based on projects proposed by numerous researchers. Among these, the vertical spindle cotton picker is recognized as one of the earliest machines created for this purpose. Since its invention, the vertical spindle …

Clark Tailings Consolidated Waste Management Area (Ctcwma) Site Investigation Draft Data Summary Report 2024 Surface Water, Groundwater, And Soil Characterization, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Effect Of Genially Based Gamification Learning Models On Student Analysis Thinking Skills In Mathematics, Rosiana Liwayanti, Ida Fiteriani, Ajo Dian Yusandika

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Berpikir analisis adalah kemampuan untuk menguraikan suatu permasalahan menjadi bagian-bagian yang lebih kecil, kemudian menghubungkannya kembali secara logis sehingga dapat diperoleh pemahaman yang lebih mendalam. Penelitian ini dilatarbelakangi oleh tingkat keterampilan analisis berpikir siswa yang kurang memuaskan, khususnya dalam matematika, serta rendahnya tingkat partisipasi aktif selama pembelajaran. Model pembelajaran gamifikasi dengan memanfaatkan platform Genially menjadi salah satu pilihan inovatif yang dapat diterapkan. Penelitian ini bertujuan untuk mengkaji pengaruh penerapan model pembelajaran gamifikasi berbasis Genially terhadap kemampuan berpikir analitis siswa kelas V pada mata pelajaran matematika di MIN 1 Bandar Lampung. Jenis penelitian yang digunakan adalah eksperimen dengan metode Quasi Experiment …

Microclimatic Conditions In Shulgan-Tash Cave (Southern Ural, Russia): Implications For The Preservation Of Eastern Europe’S Largest Paleolithic Art Collection, Olga Chervyatsova, Rayan Akhmedyanovb, Nailya Saifullina, Ludmila Kuzmina, Mihael Kotov, Yuri Dublyansky

International Journal of Speleology

This study presents the results of a long-term investigation of the microclimatic conditions in Shulgan-Tash Cave (Southern Urals, Russia), which hosts the largest assemblage of Upper Paleolithic paintings (ca. 16.3–19.6 ka) in Eastern Europe. The cave exhibits two distinct seasonal ventilation regimes – winter and summer – differentially influence its two levels of galleries. In the Lower Level, which contains 83% of the images, near-atmospheric CO₂ concentrations persist year-round, and temperature variations associated with seasonal infiltration events are minimal (1.0–1.3°C). By contrast, the Upper Level, including the decorated Hall of Paintings, is affected by downdrafts of CO₂-rich …

(((Qpie))) Advancing Phase Synchrony Detection Part 2 - Defining Nsrf, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

Advancing Phase Synchrony Detection Part 2

Advancing Phase Synchrony Detection — Continuation and Defining of the Non-local Substrate Resonance Field (NSRF)

(CREDIT: Quantum Perspective is Everything GUT and Frameworks; #Avision4change #Vision2Funding #Charity2Roi #TedFunding) (((QPIE))) Created by Teddy Burroughs with significant contributions or Honorable mentions: Google Collab, IBM Cloud and Open AI ChatGpt 3 4 5 for technical support. Also Special Inspirational Acknowledgment to: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason TECHNICAL CONTACT: [email protected] SOCIAL CONTACT: [email protected] Please Support (((QPIE))) …

Choral Collage Concert, (October 14, 2025), Lindenwood University

Student Music Performance Programs

Event program for the Choral Collage Concert, (October 14, 2025), Lindenwood University.

Confinement-Induced Resonances For The Creation Of Quasi-One-Dimensional Ultracold Gases Of Alkali–Alkaline-Earth Dimers, Lorenzo Oghittu, Premjith Thekkeppatt, Nirav P. Mehta, Seth T. Rittenhouse, Klaasjan Van Druten, Florian Schreck, Arghavan Safavi-Naini

Physics and Astronomy Faculty Research

We theoretically investigate the role of confinement-induced resonances (CIRs) in low-dimensional ultracold atomic mixtures in the formation of weakly bound dimers. To this end, we examine the scattering properties of a binary atomic mixture confined by a quasi-one-dimensional (quasi-1D) potential. In this regime, the interspecies two-body interaction is modeled as an effective 1D zero-range pseudopotential, with a coupling strength g1D derived as a function of the three-dimensional scattering length a. This framework enables the study of CIRs in harmonically confined systems, with particular attention paid to the case of mismatched transverse trapping frequencies of the two atomic species. Finally, we …

Cv: Teresa Bixby (Chemistry), Teresa Bixby

Chemistry Department Faculty Curricula Vitae

No abstract provided.

Electron Yields Of Lunar Regolith Simulant Layers, Christopher Vega, Matthew Robertson, Thomas Keaton, Heather Allen, Jr Dennison

Journal Articles

The charging of bulk lunar regolith has been recognized since the Apollo era as an immediate and critical issue facing our return to the moon. Accurate electron yield (EY) measurements of bulk highly insulating granular materials—which largely determine how such particles charge through interactions with space environments—are lacking due to many experimental complexities that have led to a critical knowledge gap. Such knowledge is essential for addressing fundamental science and myriad important lunar applications and simulations related to lunar dust and regolith electrostatic charging. The few prior EY studies of lunar dust were limited due to severe charging effects and …

Optimal Control In Combination Therapy For Heterogeneous Cell Populations With Drug Synergies., Simon F. Martina-Perez, Samuel W S Johnson, Rebecca M. Crossley, Jennifer C. Kasemeier, Paul M. Kulesa, Ruth E. Baker

Manuscripts, Articles, Book Chapters and Other Papers

Cell heterogeneity plays an important role in patient responses to drug treatments. In many cancers, it is associated with poor treatment outcomes. Many modern drug combination therapies aim to exploit cell heterogeneity, but determining how to optimise responses from heterogeneous cell populations while accounting for multi-drug synergies remains a challenge. In this work, we introduce and analyse a general optimal control framework that can be used to model the treatment response of multiple cell populations that are treated with multiple drugs that mutually interact. In this framework, we model the effect of multiple drugs on the cell populations using a …

Insights From A Simple Mathematical Model Of Autism Spectrum Disorders, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

This preliminary report explores insights about mechanisms of autism spectrum disorders (ASDs) gained from a mathematical model of interconnected clusters of excitatory neurons. This local, integrate-and-fire, spiking neural network is subjected to random noise from other populations of excitatory and inhibitory neurons outside the network. Its emergent behavior in response to different ratios of inhibitory to excitatory noise mimics several aspects of ASDs. The spiking neural network functions according to rules of classical neurophysiology, involving resting membrane potential, threshold potential, excitatory or inhibitory post-synaptic potentials, action potential, and refractory period. Key parameters include the incremental change in membrane potential, p …

Re: Butte Priority Soil Operable Unit (Bpsou) Final Bres No.94 – Rialto Dump Reclamation Improvement (Ri) Field Sampling Plan (Fsp), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2025 Sc Teacher Exit Survey: Summary Of Results, Brian Cartiff, Angela Starrett, Svetlana Dmitrieva

Reports

Each year, SC TEACHER administers the SC Teacher Exit Survey to public PK–12 classroom teachers who are leaving their current classroom or district. The survey is designed to offer insights into how working conditions and other factors relate to teachers’ decisions to leave their positions and their plans moving forward. This report highlights the SC Teacher Exit Survey results for the 2024–25 academic year.

Spartan Daily, October 14, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 22

Manufacturing Of Origami-Inspired Mechanisms Via Sheet Lamination, Tyler R. Stevens

Theses and Dissertations

Origami-inspired mechanisms combine compact, lightweight, reconfig- urable devices, yet despite decades of growth in origami theory, industrial uptake remains limited. As a result, origami predominately appears as prototypes or in low-volume, bespoke applications. Manufacturing (which has received little development) remains the chief bottleneck: most origami fabrication routes are still under-explored, labor-intensive, and fundamentally unsuited to scale. This dissertation addresses that barrier by establishing a process-centric framework for origami manufacturing and demonstrates fabrication workflows capable of transitioning designs from prototypes to production. A survey of more than 180 publications on origami manufacturing approaches yields a manufacturing-oriented taxonomy that links each surrogate …

Eutrophication, Hope Northagen, Sarah Erwin, Ethan Gilliam

All Current Publications

Eutrophication refers to the ecological state of a water body after excessive nutrient pollution. The external introduction of nutrients (primarily nitrogen and phosphorus) accelerates the growth and reproduction of plants, algae, and microbes. This fact sheet explains where eutrophication comes from, its impacts, how it is treated, and what you can do to help restore and protect our lakes, rivers, and oceans.

Editorial Preview For October 2025 Issue, Su-Cheng Haw, Hui-Ngo Goh

Journal of Informatics and Web Engineering

The October 2025 issue of the Journal of Informatics and Web Engineering (JIWE) concludes the journal’s triannual publication cycle and precedes its transition to a quarterly schedule commencing in 2026. This issue presents 21 research papers within its regular section, covering a wide range of areas including Artificial Intelligence (AI), Machine Learning (ML), Software Engineering, Recommender Systems, Cybersecurity, and Web Technologies. The collection reflects JIWE’s ongoing effort to advance research in the informatics and web engineering domain. A special thematic section, guest-edited by Prof. Ts. Dr. Hairulnizam Bin Mahdin, centers on “AI-Enhanced Computing and Digital Transformation”. The featured studies examine …

Pavement Distress Analysis In Malaysia: A Novel Deepseg-Cracknet Model For Crack Detection And Characterization Using Real-World Data, Arselan Ashraf, Ali Sophian, Teddy Surya Gunawan, Syed Asif Ahmad Qadri

Journal of Informatics and Web Engineering

Pavement distress analysis plays a big role in keeping roads in good shape, especially in busy spots like Selangor and Kuala Lumpur, where heavy traffic and tropical weather make them wear out fast. This work introduces DeepSeg-CrackNet, a fresh hybrid deep learning model that uses Deep Gradient ResNet to spot cracks and a Residual block with a Modified Attention Mechanism to sort them into types, making it simpler to detect and label pavement damage. The model was trained on real data collected from Malaysian roads, with the CRACK500 dataset added in to cover more situations, and captured using a GoPro …

Zero Trust - The Future Of Cybersecurity, Danial Haider, Shougfta Mushtaq, Hasnat Ali, Mazliham Mohd Su’Ud

Journal of Informatics and Web Engineering

The recent Zero-Trust Architecture (ZTA) is progressively adopted to the develop network security by assuming no implicit trust within or outside an organization’s boundary. Though, ZTA faces substantial challenges in detecting sophisticated and developing cyber threats, particularly due to its trust on traditional security mechanisms that struggle to manage internal threats and sophisticated attack techniques. To report these shortcomings, the proposed study discovers the combination of advanced machine learning (ML) and deep learning (DL) performances to improve the anomaly detection proficiencies within ZTA environments. The study develops the CICIDS2017 dataset, which contains diverse and realistic network traffic patterns, to assess …

The Role Of Generative Ai In E-Commerce Recommender Systems: Methods, Trends And Insights, Kai-Ze Liau, Heru Agus Santoso

Journal of Informatics and Web Engineering

Recommender systems have existed for decades, shaping how people consume digital content, receive information, and engage in day-to-day activities, among others. Undoubtably, recommender systems also play a crucial role in e-commerce applications as well, with industry players like Amazon, AliBaba, eBay using recommender systems within their ecosystems to give suitable and value-driven insights. However, recommender systems face some main concerns such as data sparsity, cold-start problems and so on. As a result, research is currently ongoing to solve these issues and provide high-quality recommendations to consumers. This review aims to identify prevailing gaps surrounding these issues by analysing existing research …

Training The Brain: A Machine Learning Approach To Predicting Wellbeing Through Intentional Thought Pattern Modification, Sellappan Palaniappan, Rajasvaran Logeswaran, Kasthuri Subaramaniam, Oras Baker, Bui Ngoc Dung

Journal of Informatics and Web Engineering

This study provides a quantitative framework for wellbeing outcome prediction through intentional cognitive pattern alteration. We demonstrated 81.67% accurate prediction of wellbeing states, in a three-level classification (Low, Medium, High), using a Random Forest classifier with 16 features from psychological, physiological, and behavioural metrics. Our model singles out the gratitude cultivation (21.3%) and peace duration (23.7%) as the strongest predictors of positive well-being outcomes, which provides empirical support to traditional approaches of cognitive training with empirical evidence. Analysis of 1,000 synthetic cases shows that consistent practice of positive thought patterns over 3-6 months can strongly shift wellbeing states, with key …

Hybrid-Based Movie Recommender System: Techniques, Case Studies, Evaluation Metrics, And Future Trends, Cheng-Yung Lai, Noramiza Hashim, Lucia Dwi Krisnawati

Journal of Informatics and Web Engineering

The necessity for sophisticated recommender systems in the movie recommendation sphere has become particularly pronounced, generating a more personalized movie recommendation due to people nowadays who like to watch movies online. Efficient recommender systems make use of advanced machine learning (ML) techniques in the pursuit of accurate and meaningful recommendations. This paper endeavours to give a comprehensive overview of technologies known as recommender systems, concentrating on ML methods found at the base. Different strategies have been applied in this work, which include collaborative filtering (CF), content-based filtering (CB), hybrid approaches, Generative AI and so on. The merits and demerits of …

Hybrid Filtering For Personalized And Health-Conscious Recipe Recommendations In Unieats, Hui Lek Liew, Xinying Chew, Khai Wah Khaw, Shiuh Tong Lim

Journal of Informatics and Web Engineering

This research paper introduces UniEats, a recipe recommendation website designed to help university students better organize their meals and adopt healthier eating habits. The system aims to address common challenges students face, including time constraints, limited cooking skills, and insufficient nutritional awareness, which often lead to unhealthy food choices. At the core of UniEats is its recommendation engine, which employs a hybrid filtering approach, combining content-based and collaborative filtering techniques to provide personalized recipe suggestions based on users' dietary preferences, rating history, and recipe attributes. UniEats offers a range of features, including recipe search, weekly meal planning, nutritional analysis through …

Implementation Of Lightweight Machine Learning Models For Real-Time Text Classification On Resource-Constrained Devices, Marwah Zaid Mohammed Al-Helali, Naveen Palanichamy, K. Revathi

Journal of Informatics and Web Engineering

This paper addresses the growing need for implementing intelligent Natural Language Processing (NLP) systems on low-power, memory-limited devices such as Raspberry Pi, mobile phones, and IoT edge hardware. As edge computing and smart devices proliferate, there is an urgent need for more advanced NLP technology that does not require constant cloud access and is efficient in computing and provides results in real time. While deep learning and cloud-based models typically offer high text-classification accuracy and have demonstrated exceptional performance across a range of NLP tasks, they are often too resource-intensive for real-time deployment in constrained environments. To overcome these limitations, …

Review On Secure And Efficient Iot-Based Healthcare System With The Integration Of Machine Learning And Firewalls, Muhammad Awais, Syeda Samar Fatima, Jawaid Iqbal

Journal of Informatics and Web Engineering

The integration of the Internet of Things (IoT) into healthcare would mean a revolutionized approach in patient monitoring, diagnosis, and treatment, making this quite some development in healthcare delivery. This review has focused on how the integration of IoT with Machine Learning (ML) and stringent security measures tackle the challenging situation of data privacy and cyber threats in healthcare. Current methodologies point toward how essential advanced sensors, cloud computing, and wireless technologies for IoT-based healthcare systems necessary to secure patient data. patient record kept in files and now forward to the cloud database system so that in any case of …

Addressing Iot Security Challenges Through Advanced Machine Learning And Encryption, Ahmad Aziem Khushairi Anuar, Ahmad Anwar Zainuddin, Ahmad Adlan Abdul Halim, Dek Rina

Journal of Informatics and Web Engineering

The rapid growth of Internet of Things (IoT) devices, including smartwatches, home assistants, and connected appliances, has brought significant convenience to daily life, but it has also introduced serious security challenges. These devices often transmit sensitive data, making them vulnerable to theft, misuse, and unauthorized access. Current security measures are insufficient to address the complex and evolving nature of IoT systems, leaving many of them exposed to potential breaches and cyberattacks. This review explores recent developments in IoT security, focusing on how advanced technologies, such as machine learning, can be utilized to enhance the protection of IoT systems. The main …

Research Article Recommender Systems: A Comprehensive Review Of Models, Approaches And Evaluation Metrics, Sir-Yuean Lim, Noramiza Hashim, Lanh Le Thanh

Journal of Informatics and Web Engineering

With the advent of the current digital era, individuals across the developed world are commonly equipped with devices that can access vast amounts of information at their fingertips. What was considered an impossible feat was realized through remarkable technological advancements. This positive transformation has had a profound impact on education, where traditional knowledge management, such as libraries, are no longer a primary determinant of a student’s academic success. Instead, it has been replaced by the internet as a medium for learning, practicing, and topic exploration. However, the sheer volume of the ever-increasing information available online can easily overwhelm a user, …