Digital Commons Network^™

Innovative Expression Of Regional Culture In Food Packaging Design, Wei Yiheng, Chen Zhiying

Food and Machinery

The expression of regional culture in food packaging design not only contributes to enhancing the competitiveness of food and strengthening consumers' emotional identification, but also holds great significance for the inheritance of traditional regional culture. On the basis of clarifying the importance of integrating regional culture with food packaging design, this article points out the practical problems currently existing in this process, and proposes practical paths such as extracting regional cultural representations, translating regional cultural images, completing the design of regional cultural symbols, and incorporating modern design methods.

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 …

Extraction And Antioxidant Activity Evaluation Of Functional Peptides In Hongjun Tofu, Feng Yueqing, Xia Min, Lin Xiaoyu, Liang Tingyu, Liu Guo, Qiu Yuanxin

Food and Machinery

[Objective] To investigate the properties of functional peptides in Hongjun Tofu. [Methods] Functional peptides were extracted from Hongjun Tofu by ultrasound-assisted water extraction. The crude peptide content was used as the evaluation index to investigate the effects of extraction time, pH, extraction temperature, and solid-liquid ratio on peptide extraction. Single-factor and orthogonal experiments were designed to optimize the extraction process, and the antioxidant activity of the obtained functional peptides was evaluated. [Results] The optimal extraction conditions were 35 minutes extraction time, 55 ℃ extraction temperature, pH 11, and a solid-liquid ratio of 1∶40 (g/mL). Under these conditions, the crude peptide …

Coefficient Estimates Of A New Subclass Of R-Fold Symmetric Bi-Univalent Functions Involving Ruscheweyh Derivative, Nihad H. Shehab, Abdul Rahman S. Juma, Maslina Darus

Baghdad Science Journal

In this work, the authors introduce and study a new subclass ofM^h,u_Σr(γ,η,κ,λ), which is r-fold bi-univalent functions in open-unit disk 𝔄. Using the Rushwaya derivative operator, the study investigates the properties and behavior of an analytically generalized r-fold symmetric two-monovalent function in the open-unit disk 𝔄. The analysis calculates the Taylor-Maclarin coefficients |a_r+1| and |a_2r+1|, which represent one of its key terms these estimates M^h,u_Σr(γ …

Face Recognition Using Optimized Multi-Task Cascaded Cnn In Artificial Intelligence Systems, Sami Abduljabbar Rashid, Mustafa Maad Hamdi, Salah Ayad Jassim, Lukman Audah, Baraa Saad Abdulhakeem, Mohammed Salah Abood, Ahmed Adil Nafea

Baghdad Science Journal

Improving the accuracy level of face recognition system is still an open research area where it consists of certain limitations to attain maximum accuracy. In earlier days, several algorithms are developed using machine learning and deep learning models, but still, they need improvement in terms of accuracy. For that purpose, in this article a novel CNN model called the optimized multi cascaded CNN (OPT-MTC-CNN) in the artificial intelligence system is developed, which helps to overcome the accuracy issues in face recognition system. The algorithms that are incorporated in this model are Fully Convolutional Network (FCN), Convolutional Neural Network (CNN), and …

Cover And Contents

Turkish Journal of Biology

No abstract provided.

Microplastic Pollution In Marine Ecosystems: Sources, Impacts, Andstakeholder-Based Solutions, Seren Acarer Arat

Turkish Journal of Biology

Microplastics (MPs) are plastic particles of anthropogenic origin with a size range of 1–5000 μm. Marine MP pollution is increasingly recognized as a significant global environmental challenge. MPs, which enter marine ecosystems from land- and marine-based sources, pose physical, chemical, and biological risks due to the adsorption of various pollutants and the formation of biofilm layers. MPs are found in various organisms from lower to higher trophic levels of the marine food web. The negative effects of MPs on marine organisms depend on their abundance, their characteristics, and the exposure time of organisms to MPs. MPs can adversely affect various …

Application Of Biological And Green Nanomaterials In Wastewater Treatment: Techniques For The Effective Removal Of Dyes, Heavy Metals, And Organic Pollutants, Emi̇ne Sena Kazan Kaya, Zeynep Ci̇ğeroğlu, Tansel Kemerli̇ Kalbaran, Başak Temur Ergan, Zeynep Mi̇ne Şenol, Meral Yildirim Yalçin

Turkish Journal of Biology

Background/aim: Wastewater from industrial, agricultural, and residential sources poses significant environmental and public health risks due to the presence of dyes, heavy metals, and organic pollutants. Conventional treatment methods are often inadequate for the complete removal of these pollutants. Therefore, the development of sustainable, environmentally friendly, and highly efficient treatment techniques has become increasingly important. The aim of this review is to evaluate the application of biological and green nanomaterials in wastewater treatment and to compare their effectiveness against different types of pollutants (dyes, heavy metals, and organics).

Materials and methods: This review provides detailed information on the removal of …

A Review Of Deep Learning Architectures For Plant Disease Detection​, Yasi̇n Kaya, Ercan Gürsoy

Turkish Journal of Biology

Background/aim: The rapid advancement of deep learning (DL) has revolutionized plant disease detection by enabling highly accurate, image-based diagnostic solutions. This review provides a comprehensive synthesis of DL-based methodologies for plant disease detection, systematically structured around the key stages of the modeling pipeline, encompassing data acquisition, preprocessing, augmentation, classification, detection, segmentation, and deployment.

Materials and methods: The review focuses on evaluating convolutional neural network (CNN) architectures such as VGG, ResNet, EfficientNet, and DenseNet across diverse experimental contexts. Classification strategies are categorized according to their integration of visualization techniques (e.g., saliency maps, Grad-CAM) to enhance model interpretability, emphasizing the pivotal role …

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, …

Applications Of Transfer Learning In Sunflower Disease Detection: Advances, Challenges, And Future Directions, Yonis Gulzar

Turkish Journal of Biology

Background/aim: Sunflower (Helianthus annuus) is a crop of high economic and nutritional importance that continues to suffer significant yield losses due to foliar diseases. Traditional image-based and laboratory detection techniques remain limited by subjectivity, cost, and scalability. Transfer learning (TL) has recently emerged as an effective approach to overcoming these challenges involving the reuse of pretrained deep models for plant pathology tasks. Presented here is a systematic examination of recent TL-based studies on sunflower disease classification to identify prevailing trends, research gaps, and future opportunities.

Materials and methods: A structured Scopus query was employed to retrieve peer-reviewed articles published between …

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 …

Cover And Contents

Turkish Journal of Biology

No abstract provided.

Hsa_Circ_0001776 Regulates The Progression Of Acute Myeloid Leukemia Through The Mir-1269b/Pten Axis, Yaoyao Wang, Xiancong Yang, Simin Rong, Xiaoxu Lan, Chenhui Ti, Weimiao Sun, Baohui Yin, Youjie Li, Yunxiao Sun

Turkish Journal of Biology

Background/aim: Acute myeloid leukemia (AML) is a malignant neoplasm arising from bone marrow hematopoietic stem cells. It is a common subtype of childhood leukemia and remains challenging to cure. Emerging evidence suggests that circular RNAs (circRNAs), a class of noncoding RNAs, play key regulatory roles in tumor biology. Among their various functions, circRNAs often act as ‘sponges’ for microRNAs (miRNAs), modulating gene expression posttranscriptionally. This study investigates the functional role and clinical relevance of hsa_circ_0001776 in AML.

Materials and methods: Three AML cell lines and 22 peripheral blood samples were analyzed. Differential expression analysis of circRNAs in a GSE dataset …

Royal Jelly With Ellagic Acid Inhibits The Glycolytic Pathway And Induces Apoptosis Through Multiple Pathways In Colorectal Cancer, Tuğba Kul Köprülü

Turkish Journal of Biology

Background/aim: Developing novel chemotherapeutics with high anticancer efficacy and low toxicity remains a critical challenge in oncology. Natural products have shown promise due to their multitargeted activity and favorable safety profiles. The present study investigates the combined anticancer effects of royal jelly (RJ) and ellagic acid (EA), two potent antioxidants of animal and plant origin.

Materials and methods: Royal jelly (RJ) and ellagic acid (EA) were applied to HT29 (ATCC HTB-38, Human colorectal adenocarcinoma), HCT116 (ATCC CCL-247, Human colorectal carcinoma) and BEAS-2B (ATCC CRL-3588, human bronchial epithelium) cell lines, and their antiproliferative effects were evaluated using a xCELLigence Real-Time Cell …

Differential Modulation Of Cisplatin Efficacy By Montelukast Sodium And Desloratadine In Lung Cancer, Seha Akduman, Büşra Yüksel, Di̇dem Teci̇mel, Ömer Faruk Bayrak, Di̇dem Seven, Fi̇kretti̇n Şahi̇n

Turkish Journal of Biology

Background/aim: Despite advances in treatment, achieving effective and durable responses with chemotherapy remains a significant challenge in lung cancer management. This study investigates the effects of montelukast sodium (MLS) and desloratadine (DES), alone and in combination with cisplatin (CIS), on cell viability, apoptosis, cell cycle distribution, and antioxidant gene expression in A549 and DMS114 lung cancer cell lines.

Materials and methods: Cells were treated with CIS, MLS, DES, and their combinations for 24–72 h. Cell viability was assessed via MTS assay; apoptosis and cell cycle progression were analyzed by flow cytometry. The expression of antioxidant-related genes (GPX4, GSR, GCLC) was …

Evaluating Sh-Sy5y Cells As A Dopaminergic Neuronal Model: Morphological, Transcriptomic, And Proteomic Insights, Eylül Ece İşlek Camadan, Mehmet Sarihan, Murat Kasap, Gürler Akpinar, Eli̇fcan Koçyi̇ği̇t

Turkish Journal of Biology

Background/aim: The SH-SY5Y neuroblastoma cell line is a popular in vitro model for neurodegenerative disease research, especially Parkinson’s disease (PD) research, but its use is complicated by limitations like the persistence of neuroblastoma-like features, unstable differentiation, mitochondrial dysfunction, and cellular stress. To address these limitations, this study tested a blended, nine-day differentiation protocol that sequentially applied all-trans retinoic acid (RA), brain-derived neurotrophic factor (BDNF), and dibutyryl cyclic adenosine monophosphate (dbcAMP). By evaluating key neuronal, dopaminergic, and PD-related markers, the research aims to determine if these differentiated SH-SY5Y cells are a suitable model for studying PD.

Materials and methods: A blended …

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 …

Applying Global Evidence To Foster Young People’S Thriving In The Us: A Framework For Action, Miriam Temin, Sanyukta Mathur

Adolescents and Young People

This blog post originally appeared on the Population Council’s website in October 2025.

A Guide To Breaking Seed Dormancy Of Common Wetland Plant Species, Samantha R. Kurkowski, Rae Robinson, Sandra E. Johnston, Montana M. Horchler, Adrienne E. Ernst, Margaret D. Haney, Karin M. Kettenring

All Current Publications

This guide was developed from a series of seed dormancy break and germination experiments conducted over 4 years with 41 species. The purpose of this guide is to synthesize the information we learned through these experiments and present the findings for those interested in breaking seed dormancy, such as land managers, restoration practitioners, and wetland researchers. Ultimately, we hope this guidance catalyzes further wetland restoration throughout the Intermountain West.

Produce Flow Food Safety Plan With Wash Pack Flow Template, Mary S. Choate

UNH Cooperative Extension

No abstract provided.

Sanitizer Label Explanation, Mary S. Choate

UNH Cooperative Extension

No abstract provided.

Jumpstart Cleaning Log, Mary S. Choate

UNH Cooperative Extension

No abstract provided.

Jumpstart Worker Training Record, Mary S. Choate

UNH Cooperative Extension

No abstract provided.

China’S Revised Arbitration Law, Jillian Farrell

Cardozo Journal of Conflict Resolution (CJCR) Blog

Historically, China has been an undesirable venue for arbitration amongst foreign parties. Chinese arbitration institutions had been quasi-governmental, creating concerns about institutional bias and the perception that Chinese arbitrators exercised “ambiguous flexibility” in their decision-making. Chinese courts also had a reputation for not enforcing arbitration awards. Although there has not been empirical data to suggest that Chinese Arbitration proceedings are always biased, the provisions of China’s Arbitration Law itself alongside individual’s experiences painted Chinese Arbitration as unfair and unenforceable.

The print edition of the issue has also been released. This post was originally published on the Cardozo Journal of Conflict …

Exploring Definitions And Frameworks Of Information Diplomacy: A Scoping Review Protocol, Bethany S. Mcgowan, Tuomas Harviainen

Libraries Faculty and Staff Scholarship and Research

Information diplomacy is an emerging concept that bridges information science, public diplomacy, and global communication. Although increasingly cited in scholarly and policy discourse, the term lacks definitional clarity and theoretical consensus. A systematic mapping of its explicit usage across disciplines is needed to support conceptual coherence and guide future applications.

This scoping review aims to identify, analyze, and synthesize existing definitions, frameworks, and applications of the term information diplomacy in scholarly and gray literature. The review will explore how the concept has been articulated across domains such as international relations, information policy, and communication, focusing exclusively on sources that explicitly …

Guided By Culture, Fueled By Goals: Evaluating The Patnubay Sa Pagtatagumpay Mentorship Journey, Priscilla L. Sagar, Mary Dioise Ramos, Mizpah Amados, Gloria Lamela Beriones, Warly Remegio, Marlon Garzo Saria, Lorraine Evangelista

School of Nursing Faculty Publications

Effective mentorship is fundamental to professional development in nursing; however, there are limited initiatives that cater to the unique cultural and contextual needs of Filipino American nurses. To bridge this gap, the Philippine Nurses Association of America launched its Patnubay sa Pagtatagumpay Program (P3). This innovative initiative offers a culturally tailored approach to mentorship, incorporating features such as mentor-mentee pairings, structured goal setting, and year-long cohort support. This paper evaluates the effectiveness of the P3 program, with initial outcomes indicating high overall satisfaction from both participants. By demonstrating that culturally focused mentorship can effectively meet the specific needs of a …