Digital Commons Network^™

Green Carbon Dots In The Era Of Ai: Sustainable Synthesis, Intelligent Drug Delivery, Advanced Diagnostics, And Bioimaging, Emi̇ne Sezer, Fulden Ulucan Karnak, Si̇nan Akgöl

Turkish Journal of Biology

Background/aim: Green carbon dots (GCDs) are a rapidly developing class of nanomaterials that are revolutionizing various scientific disciplines due to their unique optical properties, low toxicity, and sustainable synthesis. This review offers a comprehensive roadmap for the field, emphasizing the synergy between GCDs and artificial intelligence (AI).

Materials and methods: We begin by detailing the sustainable synthesis of GCDs, highlighting green chemistry principles and the transformative role of AI in optimizing their production. Subsequently, we explore the critical characterization of GCDs, including their structural, optical, and biocompatibility assessment. The core of this study explores the diverse biomedical applications of GCDs, …

Principles Of Environmentally Sustainable Agriculture For Building Resilient And Resource-Efficient Food Systems, Ramazan Çakmakçi, Songül Çakmakçi, Muhammet Fati̇h Çakmakçi

Turkish Journal of Biology

As the demand for greater quantities of higher-quality food grows with population expansion, climate change, urbanization, and unsustainable agricultural practices accelerate the loss of arable land, ultimately threatening agricultural sustainability. Population growth necessitates a transition to nutritious, safe, and healthy food production systems that ensure higher yields, less reduced waste, improved social outcomes, and the integration of economic, social, and environmental sustainability principles. Urgent global challenges such as resource depletion, biodiversity loss, and climate change necessitate the protection of ecosystems and the sustainable use of natural resources. Agricultural systems must enhance food production and supply productivity, strengthen system resilience, and …

Artificial Intelligence In Medical And Biological Research: Promise And Perils Of Chatgpt And Deepseek In Advancing Healthcare, Mahmut Enes Kayaalp, Onur Gülteki̇n, Serhat Akçaalan, Hami̇t Çağlayan Kahraman, Hüseyi̇n Nevzat Topçu, Gülşah Kavrul Kayaalp

Turkish Journal of Biology

Background/aim: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT and DeepSeek, is being increasingly applied in clinical care, research, and education. The aim of this review is to examine how these tools may transform the conduct of medical and biological research and to define their limitations.

Materials and methods: A narrative synthesis of the literature was performed, encompassing studies published between 2020 and 2025. Peer-reviewed journals, systematic reviews, and high-impact original research articles were included to ensure an evidence-based overview. The principle applications, validation metrics, and clinical implications across orthopedics, oncology, cardiology, internal medicine, and the biological …

A Systematic Review Of Machine Learning In Heart Disease Prediction, Tathagat Banerjee, İshak Paçal

Turkish Journal of Biology

Background/aim: Cardiovascular diseases (CVDs) are a leading cause of global mortality, prompting the need for advanced predictive tools. While machine learning (ML) offers a powerful solution, there are significant challenges to clinical translation. This systematic review synthesizes the current state of ML in heart disease prediction, evaluating algorithmic performance, data utilization, and key translational challenges.

Materials and methods: Following PRISMA guidelines, a systematic search of literature published up to 2025 was conducted. From an initial pool of over 2500 records, a rigorous screening process yielded 65 studies for in-depth qualitative synthesis.

Results: Analysis showed that ensemble learning models dominate prediction …

Flavonoids And Phenolic Compounds: A Promising Avenue For Neurodegenerative Disease Therapy, Tesli̇me Özge Şahi̇n, Özge Cemali̇, Merve Özdemi̇r, Şeri̇fe Ayten, Duygu Ağagündüz

Turkish Journal of Biology

Background/aim: Neurodegenerative diseases such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS are characterized by a progressive loss of nerve cells, for which no definitive cure currently exists. These conditions share common pathological mechanisms, including chronic neuroinflammation, oxidative stress, protein aggregation, and mitochondrial dysfunction. Flavonoids and other plant-derived phenolic compounds have recently attracted attention for the treatment of such conditions due to their antiinflammatory and antioxidant properties. This review explores the neuroprotective mechanisms of flavonoids and evaluates their potential for the prevention and treatment of neurodegenerative diseases.

Materials and methods: A literature search of the Web of Science, PubMed, and ScienceDirect databases …

Tumor-Specific Cytotoxicity Of Pyrazole-Based Chalcone Derivatives In Human Oral Squamous Cell Carcinoma Cell Lines, Mehtap Tuğrak Sakarya, Hali̇se İnci̇ Gül, Hiroshi Sakagami, Junko Nagai, Yoshihiro Uesawa, Kenjiro Bandow

Turkish Journal of Biology

Background/aim: Pyrazole-based chalcone hybrids are notable in medicinal chemistry for their potential biological activity, although their tumor-specific cytotoxicity and mechanisms remain unknown in OSCC cells. This first study of pyrazole-chalcone hybrids in OSCC cells explores the tumor-selective cytotoxic effects and underlying cell death mechanisms triggered by a series of 10 newly synthesized pyrazole-based compounds (MS1MS10) in OSCC cell lines. Material and methods: The cytotoxic effects of the compounds were assessed using the MTT assay on four human OSCC cell lines and three types of normal human oral cells. The tumor-selectivity index (TS) and potency-selectivity expression (PSE) were calculated, and active …

The Effects Of The Combined Use Of Carbon Quantum Dots And Antibacterial Agents On Pathogenic Bacteria, Derya Doğanay, İbrahi̇m Serkan Avşar, Şevval Maral Özcan Aykol, Gamze Çamlik, Besa Bi̇lakaya, İsmai̇l Tuncer Deği̇m

Turkish Journal of Biology

Background/aim: This study evaluates the challenges associated with overcoming antimicrobial resistance and innovative approaches to combat multidrug-resistant (MDR) bacterial infections.

Materials and methods: Novel codoped carbon quantum dots (CCQDs) were synthesized using citric acid as the carbon source and L-cysteine as the nitrogen codoping atom. The formulation in which citric acid was retained was designated as CCQDs-1, whereas the purified version, from which citric acid was removed, was termed CCQDs-2. The antibacterial properties of CCQDs-1 and CCQDs-2 were compared using the agar well diffusion method. This study comprehensively characterizes these nanomaterials and evaluates their antibacterial potential, both alone and in …

An Analytical Review Of Brainwave Analysis For Mind-Controlled Drones: Utilizing Hybrid Neural Networks And Motor Imagery, Ather Salah Hadi Al-Isawi, Sufri Muhammad, Novia Indriaty Admodisastro, Siti Anom Ahmad, Raihani Mohamed

Baghdad Science Journal

Brain-computer interfaces (BCIs) provide direct drone control by interpreting motor imagery brain impulses. This review paper critically assesses the progress made in using hybrid neural networks and motor imagery to operate mind-controlled drones and addresses the challenges of encoding and decoding complex brain signals for precise and reliable drone control. In this review paper, the primary objective is to analyze and synthesize the latest brainwave analysis technologies, focusing on hybrid neural networks and motor imagery tasks for drone control via brain-computer interfaces. This study aims to provide insights into the effectiveness of these technologies in enhancing the accuracy and reliability …

New Economic Hub Proposal In West Java Based On Toll Road Connectivity Using Community Detection, Ichwanul Muslim Karo Karo, Mohd Farhan Bin Md. Fudzee, Shahreen Binti Kasim, Azizul Azhar Ramli

Baghdad Science Journal

A region's economic activity has a significant impact on the growth of its surroundings. Adequate connectivity (e.g., toll roads, railways, airlines and others) are essential to the inter-regional economy and encourage new economic hub. Indonesia is intensively constructing toll road infrastructure and West Java province has the highest number of planned/operating it. This study aims to identify new economic hubs in West Java based on connectivity between regencies/cities with toll roads. The new hubs are identified by using a community detection approach. To support the idea, this study illustrates cities/regencies as vertices and connectivity of cities/regencies with toll roads as …

Effects Of Coffee Preparation Processes On Colloidal Particle Formation And Antioxidant Properties, Gao Guanzhen, Rao Pingfan, Xu Yao, Zhou Jianwu, Shan Yunhui

Food and Machinery

[Objective] To investigate the effects of grinding size and extraction temperature on the chemical composition, colloidal properties, and antioxidant activity of coffee colloidal particles, and to elucidate their formation and characteristics. [Methods] Coffee infusions were prepared from whole beans, medium-ground (0.9 mm), and fine-ground (0.3 mm) coffee beans using hot brewing (100 ℃, 3 min) and cold brewing (4 ℃, 24 h). The content of total solids, total sugars, proteins, total polyphenols, and lipids were determined. The colloidal properties were characterized using a nanoparticle size and zeta potential analyzer. The infusions were separated into a filtrate (true solution phase) and …

Effects Of Different Drying Methods On Drying Characteristics And Quality Of Taro Strips, Li Xiaoyun, Xie Ronghua, Chen Sheng, Han Chunyang, Chen Junliang, Ren Aiqing, Duan Zhenhua

Food and Machinery

[Objective] To reduce postharvest spoilage of taro and improve the drying quality of taro strips. [Methods] Four drying methods, i.e., vacuum microwave drying (VMD), hot air drying (HAD), heat pump drying (HPD), and far-infrared radiation drying (FIRD), were used to analyze their effects on the drying characteristics, physical properties (rehydration ratio, hardness, and color difference), moisture migration and distribution, and microstructure of taro strips. [Results] In terms of drying efficiency, VMD demonstrated the shortest free water removal time, followed by HAD and HPD. For color performance, the L* value followed the order HAD >HPD >FIRD >VMD. In terms of hardness, …

Investigating Characteristic Droplet Size Distributions In Large Eddy Simulations Of Stratocumulus Clouds, Nithin Allwayin, Daniel J. Miller, Kamal Kant Chandrakar, Michael L. Larsen, Raymond A. Shaw

Michigan Tech Publications

Cloud processes relevant to radiative and precipitation properties depend on the shape of the cloud droplet size distribution. Recent holographic observations revealed that cloud droplet populations do not have the same size distribution shapes throughout but form regions of characteristic distributions with similar microphysical properties. We investigate the existence and properties of these characteristic distributions within Large-Eddy Simulations of stratocumulus clouds using Lagrangian and bin microphysics schemes. Distribution types are identified, revealing localized characteristic distributions that vary on the scale of the largest convective cell for simulations with bin microphysics. The results from the Lagrangian microphysics scheme hint at similar …

Reliable Detection Of Sf6breakdown Byproducts Using 2d Non-Hexagonal Carbon Allotrope Nanosheets, Pedro Elias Priori Spalenza, Fábio Arthur Leão De Souza, Debora C.M. Rodrigues, Rodrigo G. Amorim, Cesar E.P. Villegas, Wanderlã L. Scopel, Ravindra Pandey

Michigan Tech Publications

Sulfur hexafluoride (SF6), widely used as an insulating gas in the power industry, decomposes during long-term operation into byproducts such as H2S, SO2, SO2F2, and SOF2. Reliable detection of these compounds is essential, since their type and concentration provide diagnostic signatures of faults in gas-insulated switchgear. We employ density functional theory combined with nonequilibrium Green’s function calculations to evaluate pristine two-dimensional carbon allotropes with nonhexagonal rings, namely Graphene+, T-graphene, and Biphenylene, as potential field-effect nanosensors. To characterize the surfaces’ atomic structures, we simulated scanning tunneling microscopy images for filled states. Each surface exhibits a distinct brightness pattern that allows its …

Dissecting The Intrinsic And Extrinsic Regulators Of Prostate Cancer Dormancy In The Bone Microenvironment, Mostafa M. Nasr

USF Tampa Graduate Theses and Dissertations

Metastatic disease is the primary driver of cancer-related mortality. In prostate cancer (PCa), patient survival decreases dramatically once the disease spreads to distant organs, with over 80% of metastases occurring in the bone. This dissemination is often followed by a clinically silent period of tumor dormancy that can last for years, creating a critical reservoir of cells poised for lethal relapse. A significant barrier to understanding and targeting this dormant phase has been the lack of robust experimental models. This thesis first addresses this challenge by establishing a novel stress-induced model of PCa dormancy, validated across multiple murine and human …

Understanding Extreme-Wave Hazards On High-Energy Coasts Requires A Standardised Approach To Field Data Collection: Analysis And Recommendations, Rónadh Cox, Mary C. Bourke, Max Engel, Andrew B. Kennedy, Annie Lau, Serge Suanez, Sarah J. Boulton, Maria Alexandra Oliveira, Raphaël Paris, Dimitra Salmanidou, Michaela Spiske, Wayne Stephenson, Storm Roberts, Adam D. Switzer, Nadia Mhammdi, Niamh D. Cullen, Masashi Watanabe

School of Geography, Earth and Environmental Sciences

Coastal boulder deposits provide vital information on extreme wave events. They are crucial for understanding storm and tsunami impacts on rocky coasts, and for understanding long-term hazard histories. But study of these deposits is still a young field, and growth in investigation has been rapid, without much contactbetween research groups. Therefore, inconsistencies in field data collection among different studies hinder crosssite comparisons and limit the applicability of findings across disciplines. This paper analyses field methodologiesfor coastal boulder deposit measurement based using an integrated database (ISROC-DB), and demonstrates inconsistencies in current approaches. We use the analysis as a basis for outlining …

Second-Generation Iranian American Parents’ Perception Of Heritage Language Maintenance Through The Home And Ethnolinguistic Supports In The United States., Zohre Sarlak-Ghassemi

Electronic Theses and Dissertations Archive

Abstract This qualitative study examines the Family Language Policy (FLP) of second-generation Iranian American (SGIA) parents regarding the maintenance of their heritage language (HL), specifically Persian, within two U.S. contexts: Orange County, California, and Memphis, Tennessee. Based on Curdt-Christiansen and Huang’s (2020) dynamic FLP model and Bronfenbrenner’s (1979) ecological systems theory, the research examines parental language ideologies and the impact of perceived ethnolinguistic vitality of their communities on their language ideologies. Semi-structured interviews and background questionnaires with ten families (primarily mothers, with some fathers) revealed complex and hybrid language ideologies. All participants expressed emotional and identity-related attachments to Persian, viewing …

The Horror And The Passion: The Christian/Secular Paradigm In The Twentieth-Century Southern Gothic, Matthew Ryan Pike

Electronic Theses and Dissertations Archive

The goal of this dissertation is to provide a foundational definition of the southern gothic literary genre. In this analysis, I argue that the core of the southern gothic is a Christian/secular paradigm and that all of the conflict within these narratives is principally grounded in this dichotomy. Not only does this framework provide the best interpretive lens to understand the genre, but it ameliorates the cloud of confusion in the critical scholarship, wherein a wide and fluid array of propositions are advanced on what essentially comprises the southern gothic. I execute this via an interdisciplinary strategy, adopting scholarship and …

Fahp-Topsis Model In Ranking Critical Success Factors Of E-Learning: A Comparative Analysis Of Normalization Methods, Judith R. Pande, David Koloseni, Septimi Kitta

Tanzania Journal of Science

The teaching and learning process has become effective and explicit due to the progressive development of e-learning. This has significantly transformed the education framework. As a result, evaluating the usefulness of e-learning requires a detailed understanding of the critical success factors that impact the success of e-learning environments. This study ranked these factors using Multi-Criteria Decision-Making techniques. Specifically, the Fuzzy Analytical Hierarchy Process was used to determine the weight of each factor, while the Technique for Order of Preference by Similarity to Ideal Solution was used to rank the factors of e-learning. The study also examined and compared four normalization …

Assessment Of Tumour Control Probability And Equivalent Uniform Dose In Conventional 3d-Crt Vs. Hypo-Fractionated Imrt, Jumaa D. Kisukari, Mwingereza J. Kumwenda, Khamis O. Amour, Ehab M. Attalla, Emmanuel Lugina

Tanzania Journal of Science

Hypo-fractionated (HF) radiotherapy offers a promising solution to improve access to cancer treatment in resource-limited settings, such as developing countries, by reducing the number of treatment sessions compared to conventional fractionation (CF). For effective implementation, evaluating Equivalent Uniform Dose (EUD) and Tumour Control Probability (TCP) is essential to ensure treatment efficacy across different radiotherapy techniques. This study compares treatment plans generated using Three-Dimensional Conformal Radiation Therapy with Conventional Fractionation (3D-CRT CF) and Intensity Modulated Radiation Therapy with Hypo-fractionation (IMRT HF) in patients with localized prostate cancer. A total of 50 patients were CT-simulated, and their images were imported into a …

A Comparative Study For Classical Machine Learning Models For Swahili Social Media Sentiment Analysis, Mahadia Tunga, Davis David

Tanzania Journal of Science

Despite sentiment analysis being one of the most popular applications in Natural Language Processing (NLP), most studies are skewed towards languages with a rich corpus (language database). Less emphasis has been placed on low-resource languages like Swahili. Swahili is the official language of the African Union and of 4 countries in East Africa, and is spoken by many people on the African continent. This study performed sentiment analysis using 3,000 tweets hosted on the Zindi Africa platform. Data was processed using a term frequency-inverse document frequency vectorization method, and five classical machine learning algorithms (RandomForest, XgBoost, and CatBoost, HistogramGradientBoost, LightGradientBoos) …

Evaluating Weather Research And Forecasting Model In Simulating March-May Rainfall In Tanzania: Implications Of Selecting Parameterization Schemes, Mohamed H. Mohamed, Makungu James Ng'oga

Tanzania Journal of Science

The current study evaluates the performance of the Weather Research and Forecasting (WRF) model in simulating seasonal rains of March-May (MAM) in Tanzania, based on the implication of selecting parameterization scheme combinations. The model was configured into two domains with horizontal resolutions of 36 km and 12 km and the initial and lateral boundary conditions were provided by the Climate Forecast System Version 2 at 00 UTC. However, only the inner domain of 12 km was used for analysis, which has a fine horizontal resolution that accounts for small scale features such as terrains. Twelve simulations have been performed using …

Mathematical Analysis Of Toxicants And Diseases Impact On A Prey-Predator System With Control Interventions, Nuru Yazidi Juma, Thadei Damas Sagamiko, James Philbert Mpele

Tanzania Journal of Science

This study developed a generic prey-predator mathematical model incorporating logistic growth for prey and a Holling Type I functional response for predator consumption. Prey-predator interactions form the foundation of ecological balance, but in recent decades these systems have been increasingly threatened by toxicants and infectious diseases. The combined effect of these challenges can lead to severe population declines, biodiversity loss, and ecosystem instability, making their study important for conservation and environmental management. The model includes the effects of diseases and toxicants on prey and toxicants only on predators, and explores optimal control strategies to mitigate these threats. Without considering time …

Design Of High-Performance Synchronous Reluctance Motor For Hybrid Electric Vehicle Application, Fred Loita, Jackson Justo

Tanzania Journal of Science

This paper presents the simulation-based design of a synchronous reluctance motor (SynRM) coupled electromechanical system suitable for the hybrid electric vehicle. The study considers SynRM with a 75kW power rating with the capability to produce up to 125kW maximum power for the electric vehicle. The focus is mainly on rotor and stator design; the angles of the flux-barrier ends are considered to reduce the torque ripple due to the slot harmonics. Reluctance machines are indeed competitive for applications requiring high efficiency at low cost. However, it is a challenging task to find design solutions that ensure structural integrity of the …

Rainwater Harvesting For Domestic Use In Suburb Areas Of Dar Es Salaam, Tanzania: A Case Study Of Wazo Hill, Scholastica S. Ishengoma, Mahir Mohammed Said, Neema O. Msuya

Tanzania Journal of Science

Despite the increasing reliance of rainwater harvesting in semi-urban areas, there is a lack of comprehensive localized data on the safety of harvested rainwater, particularly in areas such as Wazo Hill where communities predominantly depend on it. This study evaluates the quality of harvested rooftop rainwater intended for human consumption and assesses its compliance with the World health Organization (WHO) and Draft East Africa Standards (DEAS) for drinking water. Rainwater samples were collected from various catchment surfaces and storage systems located in Wazo Hill, Tanzania. A stratified random sampling technique was employed to select the households equipped with rainwater harvesting …

Assessment Of Bacteriological Quality And Physico-Chemical Parameters Of Domestic Water Sources In Relation To Human Health Risk In Kigamboni, Tanzania, Joseph A. Mwakosya

Tanzania Journal of Science

Data on bacteriological quality and physico-chemical parameters is crucial for protection and sustainable utilization of water resources. This study determined bacteriological quality and physico-chemical parameters of well and tap water sourcesin relation to human health risk in Kigamboni, Tanzania. Thirty water samples were collected randomly and analyzed using SPSS software. The mean values for well water samples of pH, electrical conductivity (EC), total dissolved solids (TDS), turbidity, Chloride, Sulphate, Nitrate, Phosphate, and Calcium Carbonate were 7.2, 960.27 mg/L, 528.13 mg/L, 1.52 NTU, 288.00 mg/L, 30.13 mg/L, 0.05 mg/L, 0.08 mg/L, and 160.07 mg/L, respectively. The mean values for tap water …

Comparative Study On The Application Of Gra, Psi And Hybrid Psi-Gra Techniques For Optimising Turning Parameters In Multi-Criteria Problems, Mussa Iddi Mgwatu

Tanzania Journal of Science

The optimum turning parameters help to justify the investment in machine tools for manufacturing industries. However, solving optimisation models to achieve optimum turning parameters in multi-criteria environment is complex leading to the application of multi-criteria decision-making techniques. This paper compares three multi-criteria decision-making techniques in determining optimum turning process parameters namely spindle speed, feed rate and depth of cut. The performance criteria are material removal rate, consumed electrical energy and tool wear rate. Example data for turning process were obtained from other studies while the analyses for multi-criteria decision-making were performed using grey relational analysis (GRA), preference selection index (PSI) …

Heavy Metal Contamination And Health Risks In Katoro's Artisanal Gold Mining Soils, Tanzania, Innocent J. Lugendo, Venance Mwesiga

Tanzania Journal of Science

This study assessed heavy metal contamination in surface soils from artisanal gold mining areas in Katoro, Tanzania, evaluating ecological and human health risks. Thirty-six soil samples were systematically collected from three mining villages (Bingwa, Isenye, and CCM) at varying distances ranging from 30 to 90 m from active mining pits alongside twelve control samples from a non-mining area for comparison purposes. Concentrations of Cr, Cu, Ni, Zn, Pb, and As in soil samples were analyzed using energy-dispersive X-ray fluorescence spectrometry (EDXRF). Results revealed severe contamination, with Cr (117–1255 mg/kg), Cu (81–104 mg/kg), and Ni (89–271 mg/kg) exceeding permissible limits. The …

Spatio-Temporal Dynamics Of The Onset And Cessation Of Ond Rainy Season Across Bimodal Regions Of Tanzania, Rajabu J. Mangara, Paul Ts Limbu

Tanzania Journal of Science

This study investigates the temporal variability of the onset, cessation, and duration of the October-November-December (OND) rainy season in the bimodal rainfall region of Tanzania. Utilizing daily precipitation data from the Multi-Source Weighted-Ensemble Precipitation dataset for the period 2014–2023, the study employs the Accumulated Daily Index method to determine the onset and cessation of rains, with the seasonal duration computed as the difference between these dates. Variability in onset, cessation, and season length was quantified using the Coefficient of Variation. The findings highlight significant spatial variability in onset, with early rains in northwestern areas (e.g., Bukoba) and coastal zones, commencing …

Comparative Evaluation Of Dicyclohexylamine And N-Methyldiethanolamine As Corrosion Inhibitors For Top Of Line Corrosion On Api X80 Carbon Steel In Saturated Carbon Dioxide Aqueous Solutions, Frida W. Andalu, Abraham K. Temu, Alfred R. Akisanya, Joseph Yn Philip

Tanzania Journal of Science

This work has evaluated the efficiency of selected volatile corrosion inhibitors in mitigation of top of line corrosion in wet gas pipeline at different temperatures. The main challenge of top of line corrosion in carbon dioxide rich environment is the ability of the volatile corrosion inhibitor to effectively mitigate corrosion at adverse conditions. Electrochemical corrosion experiments using potentiodynamic polarization method were conducted at temperatures of 20 ℃, 35 ℃ and 45 °C to evaluate the efficiency of dicyclohexylamine and n-methyldiethanolamine corrosion inhibitors for top of line corrosion inhibition on carbon steel specimens derived from API X80 natural gas pipelines. The …

Energy-Saving Simple Adaptive Recursive Terminal Sliding Mode Control For Industrial Feed Drive Systems, Haryson Johanes Nyobuya

Tanzania Journal of Science

This paper proposes a simple adaptive recursive terminal sliding mode control approach for industrial feed drive systems. The design employs a recursive sliding mode structure that eliminates the reaching phase and ensures finite-time convergence of the tracking error. To mitigate chattering, a second-order nonsingular terminal sliding mode is used and the parameters to compensate for disturbances are obtain in terms of integral form and a proportional terminal term, which enhances disturbance rejection and further guarantees finite-time convergence. The proposed controller significantly reduces the tracking error and saves energy for the feed drive system. Numerical simulations on an industrial feed drive …