Digital Commons Network^™

Dietary Fat Intake And Its Influence On The Association Between Liver Fat And Brain Choline Metabolism In Young Saudi Women, Halima S. Hawesa, Mansour E. Shanawani, Haya A. Alshegri, Mahasin G. Hassan, Amal I. Alorainy, Nouf A. Alroqaiba, Shanoo G. A. Sheikh

Saudi Medical Journal

Objective: Fat-rich nutrition may influence the neurochemical consequences of hepatic lipid accumulation. This study examined whether percent energy from fat modifies the association between liver fat and the brain (Cho/Cr) ratio in healthy young women. Methods: A total of 109 healthy Saudi women aged 18–25 years underwent brain magnetic resonance spectroscopy (¹H-MRS) to quantify Cho/Cr ratios. Liver fat was estimated using MRI-based proton density fat fraction (PDFF), and lipid intake was assessed using a validated food frequency questionnaire. Multivariable regression models tested the interaction between liver fat and fat-derived energy intake, followed by simple slopes analysis, regression …

Artificial Intelligence In Pharmaceutical Care: Transforming Drug Discovery, Development, And Patient-Care Delivery, Abdulrahman G. Alharbi, Abdulrahman A. Aljabri

Saudi Medical Journal

The integration of artificial intelligence (AI) into pharmaceutical care represents a paradigm shift in healthcare delivery, offering unprecedented opportunities to revolutionize medication management, accelerate drug development, and enhance patient outcomes. This comprehensive review synthesized evidence from global literature (2021–2025) examining AI applications across drug discovery and development, clinical trials optimization, medication therapy management, and pharmacy operations. The AI demonstrated prediction accuracies of 86–98% in drug discovery, 80% improvement in clinical trial recruitment efficiency, and 32.7% increase in medication adherence over standard care. The global AI drug discovery market, valued at \$1.5 billion (2023), is projected to reach \$11.8 billion by …

The Use Of Platelet-Rich Plasma For De Quervain's Tenosynovitis: A Systematic Review With Limited Meta-Analysis, Abdullah W. Abumadian, Mohanad I. Binibrahim, Abdurrahman H. Sultan, Mohammed A. Addas, Hattan Y. Bamagaus, Sultan K. Alhaddad, Motasem O. Bamabad, Bayan A. Ghalimah

Saudi Medical Journal

Introduction: De Quervain's tenosynovitis (DQT) is a painful wrist condition that impairs daily activities. Corticosteroid (CS) injections are commonly used for symptom relief, but their effects may diminish over time. Platelet-rich plasma (PRP) has emerged as a regenerative alternative that promotes tissue healing rather than merely suppressing inflammation. This systematic review and limited meta-analysis compare the efficacy and safety of PRP versus CS injections in DQT. A limited meta-analysis was chosen due to the high heterogeneity between studies (I² = 98.7%). Methodology: A comprehensive literature search identified six studies comparing PRP and CS injections. Pain and functional outcomes …

The Role Of The Nlrp3 Inflammasome In Preeclampsia And Implantation Failure: A Molecular Review, Ari Budi Suryawinata, Mariel Tania Darmayani, Listyani Suhargo

Chulalongkorn Medical Journal

The NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome is a critical multiprotein complex of the innate immune system that functions as a molecular sensor for a wide array of danger signals. While its activation is essential for host defense and tissue homeostasis, its dysregulation is increasingly implicated in the pathophysiology of numerous inflammatory disorders. This review article synthesizes the current molecular understanding of the NLRP3 inflammasome, focusing on its dual role in health and disease. We first provide a concise overview of the canonical two-step mechanism of NLRP3 activation and the intricate molecular checkpoints including genetic factors, post-translational …

Effects Of Maternal Vitamin D Supplementation During Pregnancy And Lactation On Immune Development In Offspring: A Systematic Review, Kurnia Maidarmi Handayani, Ghaniyyatul Khudri, Laura Zeffira, Widia Sari

Chulalongkorn Medical Journal

Background: Vitamin D, a fat-soluble prohormone, is essential for skeletal health and plays a key role in immune regulation. Deficiency is common among pregnant and lactating women, raising concerns as fetal and neonatal vitamin D status relies entirely on maternal stores. Insufficiency during these periods is linked to preterm birth, low birth weight, and immune-mediated disorders. This review examines the effects of maternal vitamin D supplementation on the immune development of offspring.

Methods: A systematic review was conducted in accordance with PRISMA guidelines and registered in PROSPERO (CRD420251117397). Experimental rodent studies published between 2019 and 2022 that investigated maternal vitamin …

Association Between Underpants Fit And Semen Quality: A Hospital-Based Cross-Sectional Study, Harnam Kaur, Unnop Jaisamrarn, Paweena Thuwanut, Chanakarn Suebthawinkul, Jiayu Li

Chulalongkorn Medical Journal

Background: The effect of underpants type on semen parameters remains controversial. Conducting such a study in the Thai population will contribute valuable region-specific data.

Objectives: This cross-sectional research studied the influence of fit of underpants worn on various semen parameters including semen volume, sperm count, sperm motility, sperm morphology and sperm DNA fragmentation among Thai male partners in Bangkok, Thailand.

Methods: Thai male partners aged 20–55 years who sought infertility treatment from Reproductive Biology Unit, King Chulalongkorn Memorial Hospital, Bangkok were recruited from March to June 2024. All participants completed questionnaire covering socio-demographics, disease history, and type of underpants worn …

Values-Based Leadership In Public Discourse: How University Leaders Frame Character And Commitment, Heather Carroll, Jeff Fritz, Sarah Williams, Cheryl A. Maurana

The Journal of Values-Based Leadership

Public leadership speech is a consequential site of ethical positioning where institutional values are named, contested, and interpreted under pressure, and where the choice of virtue language shapes where attention is directed. Analyzing published quotations from university leaders during the first 100 days of the second Trump administration, we examine how virtue language functioned as a public act of values-based leadership through a socio-ecological framework for flourishing that treats character as dynamic and relational. We find that leaders constructed ethical stances by anchoring commitment to moral virtues that named goods, intellectual virtues that narrated deliberative process, and occasionally pairing both …

Moral Identity, Joseph P. Hester

The Journal of Values-Based Leadership

Foundationally, our communal awareness offers a complexity of meaning, but don’t be deterred, it also provides an avenue for understanding ethics, suggesting a definition of “humanity” as “community.”

The Character Fractal: A Theory Of Virtue Replication In Organizations, Kevin Davis, Scott Kozlak, Matthew M. Orlowsky, David Levy

The Journal of Values-Based Leadership

Organizational ethics has long been treated as an individual problem requiring individual solutions: the right traits, the right training, the right people in the right roles. This paper argues that framing is fundamentally insufficient. While character and virtue ultimately reside in persons, character development within organizations emerges through recursive ethical interactions shaped by incentives, narratives, feedback loops, and habituation structures cultivated by systems leaders. It replicates, or fails to, across every scale of human interaction, from the unobserved micro-decision of a single employee to the macro-level architecture of executive leadership. Drawing on Mandelbrot's fractal geometry, Lorenz's chaos theory, Kauffman's complexity …

Advanced Hybrid-Green Ultrasound–Infrared–Microwave Trifolium Repens Essential Oil Isolation With Multi-Target Ethnomedicine Bioactivity Against Neuropathy, Inflammation And Multidrug-Resistant Infection, Sara Al Ayoubi, Ibrahim Abdelwahab, Maha Aboul-Ela, Abdalla El- Lakany, Karim Raafat

Journal of Food and Drug Analysis

Trifolium repens (white clover) is rich in bioactive volatiles with therapeutic potential. This study developed an advanced hybrid ultrasound–infrared–microwave hydro-distillation (UIMHD) method for efficient essential oil (EO) isolation and investigated its active sesquiterpene, pseudoionone, for multi-mechanistic neuroprotection in diabetic neuropathy (DN). The optimized UIMHD system synergistically combined ultrasound cavitation, infrared heating, and microwave hydro-distillation, enhancing yield and reducing time versus conventional extraction. Gas chromatography–mass spectrometry (GC–MS) profiling identified pseudoionone as the dominant constituent. Pharmacological evaluations were performed in alloxan-induced diabetic mice to assess antidiabetic, anti-inflammatory, neuroprotective, and anticonvulsant activities. Cytokine modulation (TNF-α, IL-6, IL-10), oxidative stress markers (CAT, GSH, TBARS), …

Evaluating The Efficacy Of I-Fiber Pearl On Reducing Body Fat Accumulation In Obese Females: A Randomized, Double-Blind, And Placebo-Controlled Trial, Hung-Hsuan Kuo, Chia-Chun Chen, Ching-Chang Cho, Chun-Tse Tsai, Shiuan-Chih Chen, Chin-Lin Hsu

Journal of Food and Drug Analysis

Obesity is a growing public health challenge worldwide, strongly linked to metabolic syndrome, type 2 diabetes, and cardiovascular disease. Inulin, a soluble, fermentable fiber derived mainly from Jerusalem artichoke and chicory, has been reported to improve weight management and metabolic health. This randomized, double-blind, placebo-controlled trial evaluated the effects of inulin-enriched tapioca pearls (I-fiber pearl) on body composition and lipid parameters in obese women. Methods: Fifty women (BMI ≥ 27 or waist > 80 cm; age 20–50 years) were randomized to receive either I-fiber pearl or placebo (2 packs/day, 100 g/pack) for 12 weeks. Anthropometric indices, body composition, and blood biochemistry …

Spatial Distribution: Effect Of Oxygen Availability On Gut Microbiota Adhesion And Colonization, Ruixue Ding, Xiaotong Sun, Yinan Wang, Binbin Tu, Yue Liang, Qi Lin, Fuqiang Zhao

Journal of Food and Drug Analysis

The gut microbiota plays a crucial role in host digestion and immune regulation; however, most existing research relies on fecal sampling, leaving uncertainty regarding whether fecal microbiota can accurately reflect the symbiotic microbial components at distinct gut sites. To address this gap, this study employed 16S rRNA gene sequencing to systematically analyze the microbial composition of three spatial compartments in the rat colon: luminal contents, mucus layer, and epithelial tissue. The results revealed notable differences in microbial communities across the three compartments. The luminal contents, which were closely associated with the fecal microbiota, exhibited high microbial abundance, encompassing gram-positive bacteria, …

Effect Of Cosmetic Whitening Ingredients’ Lipophilicity On Melanocyte Cytotoxicity: A Systematic Review, Lord Sam B. Liston, Zach Uriel Cabije, Enrico John Belleza, Catherine Ortega, Mark Niño Melgo, Vanbeth Camson, Sabrina Dahlizar, Pajaree Sakdiset, Gea Abigail Ecoy, Gerard Lee See, Florencio Jr. Arce

Journal of Food and Drug Analysis

Tyrosinase is an enzyme involved in the early stages of melanin synthesis. Melanin, which gives skin its pigment, is the most targeted molecule in the development of skin-whitening cosmetic products. Consequential risks of chemically induced skin diseases are associated with the usage of skin-whitening products that contain tyrosinase-inhibiting compounds. Currently, products containing tyrosinase inhibitors on the market lack collective analysis of their toxicity on melanocytes. Moreover, national regulatory agencies (e.g., FDA) place the burden of ensuring the safety of whitening products on manufacturers, risking bias and selective reporting. In fact, the ASEAN Cosmetic Directive does not include more than half …

The Protective Potential Of Intestinal Bifidobacterium-Derived Extracellular Vesicles With Unique Lipid Composition Against Blue Light-Induced Damage In Retinal Cells, Wei-Hsuan Hsu, Pin-Hsuan Su, Hao-Yuan Chien, Tzu-Ming Pan, Bao-Hong Lee

Journal of Food and Drug Analysis

Bifidobacterium longum is a probiotic that resides in the intestine, and extracellular vesicles (EVs) released by microorganisms have garnered attention in recent years for their role in regulating host health. This study found that triacylglycerol, cholesteryl esters, and free fatty acid (18:0 and 16:0) are primarily composed of lipids in B. longum-derived EVs by lipidomics assay. Such lipid composition facilitates the entry of EVs into ARPE-19 cells and protects the cells from oxidative death induced by blue light exposure. Transcriptomic analysis revealed that treatment with B. longum-derived EVs can regulate phosphoinositide 3-kinase and mTOR, thereby enhancing the survival …

Systematic Verification Of Saliva-Based Biosignatures For Oral Cancer Via Targeted Metabolomics, Ya-Ju Hsieh, Yu Chang, Chi Yang, Nai Hsuan Teng, Jau-Song Yu, Kai-Ping Chang, Wen-Chen Chen, Lichieh Julie Chu, Yi-Ting Chen

Journal of Food and Drug Analysis

Oral squamous cell carcinoma (OSCC) remains a major global health challenge, and early detection is essential for improving patient outcomes. To identify reliable salivary biomarkers, we performed a targeted metabolomics study using ¹³C₂/¹²C₂-dansylation, integrating candidate metabolites from published OSCC metabolomics datasets and systematically verifying them through LC-MRM-MS. A panel of 26 metabolites was quantified in saliva samples from 299 subjects, including healthy controls (n = 98), oral potentially malignant disorders (OPMD I, n = 50; OPMD II, n = 53), and OSCC patients (n = 98). Among these, cadaverine, N-acetylcadaverine, choline, glycine, and …

Phthalate Exposure And Lipid Disruption In Taiwanese Children: Insights From Serum Lipidomic Approach, Tzu-Hsin Yen, Wei-Chen Tseng, Sheng-Han Lee, Zhi-Yi Du, Wan-Yu Lin, Mei-Huei Chen, Ching-Chun Lin, Ching-Chun Lin, Hui-Ju Wen, Hao-Jan Liang, Yue-Leon Guo, Pau-Chung Chen, Ching-Yu Lin

Journal of Food and Drug Analysis

Phthalates are ubiquitous environmental contaminants that raise particular concern for children, who generally experience higher exposure levels and are more susceptible to environmental pollutants. To understand potential molecular mechanisms, we conducted a cross-sectional study of 256 Taiwanese children aged 8–10 years from two population-based cohorts: the Taiwan Birth Panel Study and the Taiwan Early-Life Cohort. Serum phosphocholine-containing lipids were profiled by liquid chromatography coupled with triple quadrupole mass spectrometry and associated with urinary levels of 12 phthalate metabolites. Multiple linear regression models, adjusted for demographic and socioeconomic factors, revealed that mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), an oxidative metabolite of di(2-ethylhexyl) phthalate (DEHP), …

Applications Of Nuclear Magnetic Resonance Spectroscopy In Pediatric Clinical Metabolomics: From Research To Future Perspectives, Chieh-Ni Kuo, Meng-Han Chiang, Hsien-Ju Lee, Yu-Ying Yu, Eric Yi-Liang Shen, Chih-Yung Chiu

Journal of Food and Drug Analysis

Metabolomics studies small-molecule metabolites to provide insights into health and disease, supporting early diagnosis and personalized medicine. Advances in mass spectrometry and nuclear magnetic resonance (NMR) have expanded its use in metabolic, cancer, and cardiovascular diseases. In pediatrics, high-resolution NMR metabolomics has been instrumental in identifying age-related metabolic changes during early childhood and their associations with growth, nutrition, and disease risk. However, a comprehensive review of its clinical applications and future potential remains limited. This review highlights how utilizing specific NMR pulse sequences, such as CPMG and NOESY, allows for precise and non-destructive metabolic profiling of diverse biofluids, supported by …

The Evolution Of Desi-Msi: A Comprehensive Look At Preprocessing And Quantification Strategies For Metabolomics, Cheng-Hung Yang, Hung-Yao Ho, Chen-Yu Chang, Mei-Ling Cheng

Journal of Food and Drug Analysis

Mass spectrometry imaging (MSI) has become an indispensable tool in metabolomics for visualizing the spatial distribution of biomolecules within tissues. Due to its direct, ambient analysis capability, desorption electrospray ionization (DESI-MSI) has evolved from a rapid screening tool into a precise and reliable quantitative platform. We delve into its technical principles and particularly review the criticality of sample preprocessing, highlighting the paradigm shift from a "no-preprocessing" approach to one of "optimized preprocessing." The paper details how factors like sample preservation, choice of embedding agents, washing, drying, and on-tissue chemical derivatization all impact data quality. We also discuss how the addition …

Advanced Technologies Of Single-Cell Metabolomics Unveiling Cellular Metabolic Heterogeneity For Biological And Biomedical Research, Shang-Che Kuo, Ting-Wei Tsao, I-Fan Wang, Ying-Lan Chen

Journal of Food and Drug Analysis

Metabolomics provides direct insights into cellular physiology, yet it faces greater analytical challenges compared to genomics and transcriptomics due to the chemical diversity, instability, and environmental sensitivity of metabolites. Conventional bulk metabolomics averages signals across cell populations, thereby masking cellular heterogeneity critical for understanding disease mechanisms. Recent breakthroughs in single-cell metabolomics (SCM), driven by advances in mass spectrometry, microfluidics, isotope tracing, and spatial omics, have enabled the detection of metabolic diversity at unprecedented resolution. SCM has uncovered cell-type-specific biomarkers, revealed metabolic reprogramming in cancer and immunity and revealed disease progression. These studies highlight SCM’s transformative potential in biomarker discovery, clinical …

Metabolomics Of Per- And Polyfluoroalkyl Substances (Pfas) Exposure: Advances In Lc-Ms Technology And Applications, Yu-Meng Wang, Pei-Chen Lin, Yu-Da Zheng, Pin-Shiuan Wu, Kuo-Tai Hua, Sung-Fang Chen

Journal of Food and Drug Analysis

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals known for their high stability and bioaccumulation potential, leading to their widespread presence in the environment and human tissues. Exposure to PFAS has been associated with significant health concerns, including neurotoxicity, hepatotoxicity, and metabolic disturbances. Liquid chromatography–mass spectrometry (LC-MS) based metabolomics has emerged as a powerful and central tool for PFAS research, enabling the comprehensive analysis of metabolic changes induced by exposure. This review provides a critical summary of the applications of LC-MS metabolomics in both clinical studies and various experimental models, including in vivo models (mice) and in …

Ψ-Theory: Living Core. Ontological Development And Formalization. Comments 1–21, Valerii Y. Vorobiev

Defensive Publications Series

This document compiles comments 1–21, which chronologically develop and formalize Ψ-Theory — an ontological framework where time (Ψ-field) is the primary metric of reality, and gravity, mass, and quantum phenomena emerge from its dynamics. It addresses the crises of modern cosmology (dark matter, dark energy, Hubble tension) and quantum mechanics (measurement, non-locality) by replacing ad-hoc entities with a single causal principle. The comments include testable predictions (BH shadow shift, underground chronometry, Tully-Fisher derivation) and propose a phase diagram of reality from (4,2) to (0,-2).

The Utilization Of Static And Dynamic Virtual Simulation Holographic Structures For The Creation Of Static And Dynamic Virtual Holographic Structure-Based Learning And Creation Spaces Where Biological Body Structures And Physical Real-World Structures Can Be Inserted Into The Virtual Simulation Holographic Structure-Based Learning And Creation Spaces., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a system and method for the utilization of static and dynamic virtual simulation holographic structures for the creation of static and dynamic virtual holographic structure-based learning and creation spaces where biological body structures and physical real-world structures can be inserted into the virtual simulation holographic structure-based learning and creation spaces. The system and the method utilized will incorporate virtual simulation procedures that will be required to be perceived virtually by the user or the users of the system and the method. And in order to experience the virtually perceived simulations that involve static and dynamic virtual simulation …

Enhanced Intrusion Detection Using Recurrent Neural Networks With Amino Acid Codon Features, Omar Fitian Rashid, Mohammed Ahmed Subhi, Safa Ahmed Abdulsahib, Mohammed Khaleel Hussein, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

Intrusion Detection Systems (IDS) is the main defense mechanism deployed by the current networks to prevent cyber threats. Recurrent Neural Network (RNN) are also a novel IDS structure that replaces the conventional training and testing mechanism. The strategy encodes network traffic data as biological sequences using amino acid codons in such a fashion that the RNN is capable of effectively analyzing temporal and sequence data patterns. RNN architecture design adopts embedding layers to handle codon representations and Long Short-Term Memory (LSTM) layers to perform sequential data learning, which is followed by a fully connected network to perform classification functions, which …

Explainable Ai In Agriculture: Bridging The Gap Between Technology And Farmer, Jayarekha P, Anitha H M, Sowmya K S, Nalina V, Audithan Sivaraman, Madhu Narasimha

Iraqi Journal for Computer Science and Mathematics

An intelligent and explainable, as well as user-friendly, crop recommendation and yield prediction system is developed to facilitate agricultural decision-making under various tillage methods with the help of Explainable AI. The system utilizes Machine Learning algorithms and calculates yield changes as a relative term with respect to various inputs such as location, month of sowing, years of NT adoption, and soil type using real-time environmental data; accordingly, it recommends crops. The prediction framework, which is based on various regression algorithms, including Linear Regression, Decision Tree, Random Forest, and Gradient Boosting, was trained on the dataset of agronomic and climatic variables. …

Recent Advances In Sustainable Production Of Enriched Chicken Eggs: A Mini Review, Karim El-Sabrout, Ayman Abd El-Aziz

Jurnal Ilmu Ternak Universitas Padjadjaran

Enriched or “designer” chicken eggs have emerged as an important category of functional foods aimed at improving human nutrition through dietary manipulation of laying hens. This mini-review summarizes recent advances in egg enrichment strategies, focusing on omega-3 fatty acids, vitamins, minerals, and antioxidant compounds. Omega-3 enrichment remains the most widely adopted approach, achieved through supplementation with flaxseed, fish oil, or microalgae, resulting in significant increases in eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in egg yolk. Multi-nutrient enrichment, including selenium, vitamin E, and carotenoids, has also gained attention due to its potential in enhancing antioxidant capacity and health of hens …

Effect Of Recycled Water As Mixing And Curing Water, On Concrete Properties, Nagah Mousalem, Sayed Abdelbaky, Hesham Ali Ezz-Eldeen, Ahmed Abdel Hafiz Mahmoud

HBRC Journal

This research aims to study the effect of secondary treated wastewater (STWW) and tertiary treated wastewater (TTWW) in concrete mixing and curing as a complete alternative to fresh water to address the water crisis. The treated wastewater used in the study was collected from two wastewater treatment plants in Orasqualia for STWW and El Shorouk for TTWW, Egypt. Chemical analysis was performed on the collected water samples to verify their compliance with the recommendations of the relevant standards used in concrete production. Physical and mechanical tests were performed on cement paste, mortar and concrete specimens. Some durability characteristic of concrete …

Bibliometric Analysis Of Applications And Research Trends On Whole Milk In Food Science, Nautus Stivano Dalle, Juni Sumarmono

Jurnal Ilmu Ternak Universitas Padjadjaran

This study maps the scientific landscape and research trends on whole milk in food science using a bibliometric approach. Data were collected from Google Scholar via Publish or Perish 8 (2020–2025) using the keyword "whole milk," yielding 291 documents after applying inclusion criteria. Descriptive and visual analyses were performed using VOSviewer and the Bibliometrix package to identify publication trends, collaboration networks, and dominant themes through co-authorship and keyword co-occurrence analyses. Results revealed fluctuating publication patterns, peaking in 2021 (60 articles) and declining in 2025 (41 articles). Keyword mapping identified four major clusters: microbiological characterization and probiotic potential, milk bioactive and …

Prediction Of Fermentation Parameters During Solid-State Fermentation Of Lemongrass Feedstuffs Using Nirs Combined With Spectral Correction Techniques, Alis Syarmalis, Agus Arip Munawar, Indra Wahyudi, Zulfikar Amir, Samadi Samadi

Jurnal Ilmu Ternak Universitas Padjadjaran

Lignocellulosic residues such as lemongrass (Cymbopogon nardus L.) waste have strong potential to be reused as livestock feed, helping improve sustainability and reduce environmental waste. However, their high lignin and crude fiber contents limit digestibility, making pretreatment necessary. One effective approach is solid-state fermentation (SSF) using white-rot fungi to enhance nutritional quality. During SSF, pH and moisture content are key indicators of process performance, but conventional measurement methods are slow and inefficient for real-time monitoring. In this study, near-infrared spectroscopy (NIRS) combined with partial least squares regression (PLSR) was evaluated as a rapid and non-destructive method to predict pH and …

Physicochemical, Organoleptic, And Antioxidant Functional Characteristics Of Dangke Whey Protein Ice Cream Fortified With Butterfly Pea Flower Extract, Muh. Achyar Ardat, Raden Hilman Wirayudha, Ekajayanti Kining, Zakiah Wulandari, Irma Isnafia Arief

Jurnal Ilmu Ternak Universitas Padjadjaran

This study aims to develop a functional ice cream based on dangke whey pro‐ tein with the addition of butterfly pea flower extract. Four formulations were pre‐ pared by varying milk and whey proportions: P1 (100% milk), P2 (60% milk + 40% whey), P3 (40% milk + 60% whey), and P4 (100% whey), with 5% butterfly pea ex‐ tract added to each treatment. The results showed that higher whey substitution decreased pH and overrun values but prolonged the melting resistance of ice cream. Moisture content increased with whey proportion, whereas ash content remained relatively constant across treatments. Protein and fat …

Ai-Assisted Inventorship: A Problem For Inventive Conception, Rana Matared, Harut Minasian

Chicago-Kent Journal of Intellectual Property

No abstract provided.