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Genome-wide identification and expression profiling of photosystem II(PsbX)gene family in upland cotton(Gossypium hirsutum L.)

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Journal of Cotton Research 2024年第1期7卷 1-14页

作者： RAZA Irum PARVEEN Abida AHMAD Adeel HU Daowu PAN Zhaoe ALI imran DU Xiongming Institute of Cotton Research Chinese Academy of Agricultural SciencesNational Key Laboratory of Cotton Bio-Breeding and Integrated UtilizationAnyangHenan 455000China Department of Biotechnology and Genetic Engineering Kohat University of Science and TechnologyKohatPakistan Department of Botany Kohat University of Science and TechnologyKohatPakistan.

Background Photosystem II(PSII)constitutes an intricate assembly of protein pigments,featuring extrinsic and intrinsic polypeptides within the photosynthetic *** low-molecular-weight transmembrane protein PsbX has been identified in PSII,which is associated with the oxygen-evolving *** expression of PsbX gene protein is regulated by ***’s central role involves the regulation of PSII,facilitating the binding of quinone molecules to the Qb(PsbA)site,and it additionally plays a crucial role in optimizing the efficiency of *** these insights,a comprehensive understanding of the PsbX gene’s functions has remained *** In this study,we identified ten PsbX genes in Gossypium hirsutum *** phylogenetic analysis results showed that 40 genes from nine species were classified into one *** resulting sequence logos exhibited substantial conservation across the N and C terminals at multiple sites among all Gossypium ***,the ortholo-gous/paralogous,Ka/Ks ratio revealed that cotton PsbX genes subjected to positive as well as purifying selection pressure might lead to limited divergence,which resulted in the whole genome and segmental *** expression patterns of GhPsbX genes exhibited variations across specific tissues,as indicated by the ***,the expression of GhPsbX genes could potentially be regulated in response to salt,intense light,and drought ***,GhPsbX genes may play a significant role in the modulation of photosynthesis under adverse abiotic *** We examined the structure and function of PsbX gene family very first by using comparative genom-ics and systems biology approaches in *** seems that PsbX gene family plays a vital role during the growth and development of cotton under stress ***,the results of this study provide basic information to unveil the molecular and physiological function of PsbX genes of cotton plan

关键词： Photosystem Phylogenetic Synteny RNA seq Gene expression Orthologous

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Depression Intensity Classification from Tweets Using Fast Text Based Weighted Soft Voting Ensemble

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Computers, Materials & Continua 2024年第2期78卷 2047-2066页

作者： Muhammad Rizwan Muhammad Faheem Mushtaq Maryam Rafiq Arif Mehmood Isabel de la Torre Diez Monica Gracia Villar Helena Garay imran Ashraf Department of Artificial Intelligence The Islamia University of BahawalpurBahawalnagar63100Pakistan Department of Information Technology Khwaja Fareed University of Engineering and ITRYKhan64200Pakistan Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalnagar63100Pakistan Department of Signal Theory and Communications and Telematic Engineering Unviersity of ValladolidPaseo de Belén 15Valladolid47011Spain Faculty of Social Science and Humanities Universidad Europea del Atlántico Isabel Torres 21Santander39011Spain Department of Project Management Universidad Internacional IberoamericanaCampeche24560México Fundación Universitaria Internacional de Colombia Bogotá111611Colombia Universidad Internacional Iberoamericana AreciboPuerto Rico00613USA Universidade Internacional do Cuanza Cuito46703Angola Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541South Korea

Predicting depression intensity from microblogs and social media posts has numerous benefits and applications,including predicting early psychological disorders and stress in individuals or the general public.A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media *** study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces(APIs).A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the ***,an algorithm is developed to annotate the data into three depression classes:‘Mild,’‘Moderate,’and‘Severe,’based on International Classification of Diseases-10(ICD-10)depression diagnostic *** baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the *** FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model,which significantly increases the depression classification performance to an 84%F1 score and 90%accuracy compared to ***,a FastText-based weighted soft voting ensemble(WSVE)is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual *** proposed WSVE outperformed all baselines as well as FastText alone,with an F1 of 89%,5%higher than FastText alone,and an accuracy of 93%,3%higher than FastText *** proposed model better captures the contextual features of the relatively small sample class and aids in the detection of

关键词： Depression classification deep learning FastText machine learning

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2010年后巴基斯坦和俄罗斯关系变化的动因分析

2010年后巴基斯坦和俄罗斯关系变化的动因分析

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作者： imran Imad 吉林大学

学位级别：硕士

1947年8月14日,巴基斯坦宣布独立,并于1948年5月1日与苏联建立外交关系。当时的总理利亚卡特·阿里·汗(Liaquat Ali Khan)受到了苏联和美国的访问邀请,然而,他却选择前往美国,因为他认为美国在对巴基斯坦的援助方面具有更大的潜力。由... 详细信息

1947年8月14日,巴基斯坦宣布独立,并于1948年5月1日与苏联建立外交关系。当时的总理利亚卡特·阿里·汗(Liaquat Ali Khan)受到了苏联和美国的访问邀请,然而,他却选择前往美国,因为他认为美国在对巴基斯坦的援助方面具有更大的潜力。由于冷战的原因,巴基斯坦与苏联的关系经历了多次波动。苏联解体后,俄罗斯试图改善与巴基斯坦的关系,但两国之间仍然存在信任赤字。但在2010年之后,巴基斯坦和俄罗斯之间的关系得到改善,变得更加密切,双方之间的高层外交互访增多,武器贸易与合作增加。基于此,本文分析了2010年至今巴基斯坦与俄罗斯之间的关系演变动态。与此同时,美国和巴基斯坦之间的关系趋于紧张。2010年初,俄罗斯与阿富汗、巴基斯坦、塔吉克斯坦在莫斯科召开了会议,阿富汗是此次会议的焦点。这次会议标志着莫斯科重新参与阿富汗事务,对巴基斯坦来说意义重大,尤其是在印度缺席的情况下。此外,这一事件发生在美国和巴基斯坦在阿富汗问题上的关系日益紧张的特定时期。此后,第二年发生的一系列事件导致伊斯兰堡和华盛顿的关系突然恶化,其中包括美国在巴基斯坦的军事行动导致本·拉登(Osama bin Laden)的死亡,以及2011年11月美国和巴基斯坦军队无意发生的一场跨国枪战,导致多名巴基斯坦军官和军事人员在靠近阿富汗的一个边界点死亡。巴基斯坦陆军参谋长卡亚尼(Ashfaq Kayani)曾于2011年访问莫斯科,并向俄罗斯有效承诺改变了的政策和军事需求。卡亚尼要求莫斯科重新评估其对禁止向巴基斯坦提供武器供应的立场。2012年8月,巴基斯坦空军上将塔希尔·拉菲克·巴特(Tahir Rafiq Butt)对巴基斯坦进行了访问,作为回应,俄罗斯空军上将维克托·邦达列夫(Viktor Bondarev)于2013年4月访问了巴基斯坦。莫斯科花了两年时间解除对巴基斯坦的武器禁运,此举激怒了印度。因为在过去,俄罗斯在武器售卖决策中优先考虑的是印度而非巴基斯坦。武器禁运的解除向巴基斯坦和印度传达了一个明确的信号,即一个改变了的俄罗斯已经出现,它在不断变化的南亚地缘政治中重塑了其战略重点。我的研究问题是,“此前巴基斯坦和俄罗斯的双边关系一直相对薄弱,但为什么自2010年左右以来,它们之间的关系却在稳步提升?”大约自2010年以来,俄罗斯和巴基斯坦之间的关系持续改善,主要是由于与全球权力平衡有关的安全和地缘政治因素。一方面,由于与美国及其盟友的关系不断恶化,俄罗斯不得不越来越多地与新的盟友建立联系。同时,印度与美国之间关系的加强以及印度与巴基斯坦之间日益增长的不信任导致巴基斯坦与美国之前相对稳固的关系逐渐恶化。此外,阿富汗事件为巴基斯坦和俄罗斯之间加强合作增添了更多动力。俄罗斯的外交政策经历了一次调整,其特点是转向亚洲,寻求新的伙伴关系,这表明俄罗斯希望其在全球范围内的参与更加多样化。同时,联合国和上海合作组织等国际组织在塑造巴基斯坦和俄罗斯之间的全球外交与合作方面发挥了重要作用。本文分析的重点是引起这一战略转向的驱动因素,以及战略转向对于地区和全球权力动态的广泛影响,它旨在了解这些有着独特历史轨迹和地缘政治需求的国家是如何找到合作的共同点的。此外,俄罗斯与中国日益加强的战略联系以及与西方国家关系的弱化,影响了其在巴基斯坦的利益,即巴基斯坦为俄罗斯提供了经济机会和战略区域。俄罗斯和巴基斯坦都支持阿富汗问题的包容性政治解决方案,并认识到通过谈判解决问题以实现持久和平的必要性。本文研究的意义在于,俄罗斯在南亚具有的战略和经济利益需要我们对其与南亚的关系进行科学分析。冷战的政治背景、中国不断扩大的作用,以及美国从阿富汗撤军这一系列的事件都凸显了了解巴基斯坦和俄罗斯等国家的利益和双边关系的重要性。分析这些国家如何塑造它们之间的关系,有助于我们更好地理解外交政策,并将其与国际关系之辩联系起来。本研究采用现实主义理论框架来分析巴俄关系。现实主义理论认为,国家是参与国际关系的主要行为体,国家为其在国际上的主导地位和自身安全而竞争,国家的最终目标是实现权力的最大化,而维持权力的平衡就会带来和平。正如斯科特·伯奇尔(Scott Burchill)描述的那样,古典现实主义将国家视为具有独特利益的独立实体,国家受到巩固权力、安全和生存等因素的影响。该理论承认国际体系的无政府性质,即各国依靠自身资源而生存。同时,该理论认为人性和共同的文化价值观等历史因素也在影响国家行为方面发挥着重要作用。对于巴基斯坦和俄罗斯的关系,古典现实主义者认为,两国优先考虑自身的生存和国家利益,从而导致他们之间的政治、军事和经济联系的增长。此外,由于地区动态的变化和美国对印度支持程度的改变,巴基斯坦寻求与俄罗斯建立战略联盟。权力平衡的概念对于理解两国之间的关系至关重要,因为在冷战期间,尽管两国存在着

关键词：巴俄关系双边合作外交政策转变地缘政治动态美国印度阿富汗

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DeepSVDNet:A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images

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Computer Systems Science & Engineering 2024年第2期48卷 511-528页

作者： Anas Bilal Azhar imran Talha Imtiaz Baig Xiaowen Liu Haixia Long Abdulkareem Alzahrani Muhammad Shafiq College of Information Science and Technology Hainan Normal UniversityHaikou571158China Department of Creative Technologies Air UniversityIslamabadPakistan School of Life Science and Technology University of Electronic Science and Technology of China UESTCChengduChina School of Science and Technology University of Management and Technology UMTLahorePunjabPakistan Faculty of Computer Science&Information Technology Al Baha UniversityAl BahaSaudi Arabia School of Information Engineering Qujing Normal UniversityQujingChina

Artificial Intelligence(AI)is being increasingly used for diagnosing Vision-Threatening Diabetic Retinopathy(VTDR),which is a leading cause of visual impairment and blindness ***,previous automated VTDR detection methods have mainly relied on manual feature extraction and classification,leading to *** paper proposes a novel VTDR detection and classification model that combines different models through majority *** proposed methodology involves preprocessing,data augmentation,feature extraction,and classification *** use a hybrid convolutional neural network-singular value decomposition(CNN-SVD)model for feature extraction and selection and an improved SVM-RBF with a Decision Tree(DT)and K-Nearest Neighbor(KNN)for *** tested our model on the IDRiD dataset and achieved an accuracy of 98.06%,a sensitivity of 83.67%,and a specificity of 100%for DR detection and evaluation tests,*** proposed approach outperforms baseline techniques and provides a more robust and accurate method for VTDR detection.

关键词： Diabetic retinopathy(DR) fundus images(FIs) support vector machine(SVM) medical image analysis convolutional neural networks(CNN) singular value decomposition(SVD) classification

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Integrated Machine Learning and Deep Learning Models for Cardiovascular Disease Risk Prediction: A Comprehensive Comparative Study

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Journal of Intelligent Learning Systems and Applications 2024年第1期16卷 12-22页

作者： Shadman Mahmood Khan Pathan Sakan Binte imran Departmentof Electrical and Computer Engineering Old Dominion University Norfolk USA Sir Salimullah Medical College Dhaka Bangladesh

Cardiovascular Diseases (CVDs) pose a significant global health challenge, necessitating accurate risk prediction for effective preventive measures. This comprehensive comparative study explores the performance of traditional Machine Learning (ML) and Deep Learning (DL) models in predicting CVD risk, utilizing a meticulously curated dataset derived from health records. Rigorous preprocessing, including normalization and outlier removal, enhances model robustness. Diverse ML models (Logistic Regression, Random Forest, Support Vector Machine, K-Nearest Neighbor, Decision Tree, and Gradient Boosting) are compared with a Long Short-Term Memory (LSTM) neural network for DL. Evaluation metrics include accuracy, ROC AUC, computation time, and memory usage. Results identify the Gradient Boosting Classifier and LSTM as top performers, demonstrating high accuracy and ROC AUC scores. Comparative analyses highlight model strengths and limitations, contributing valuable insights for optimizing predictive strategies. This study advances predictive analytics for cardiovascular health, with implications for personalized medicine. The findings underscore the versatility of intelligent systems in addressing health challenges, emphasizing the broader applications of ML and DL in disease identification beyond cardiovascular health.

关键词： Cardiovascular Disease Machine Learning Deep Learning Predictive Modeling Risk Assessment Comparative Analysis Gradient Boosting LSTM

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Climate change and the emergence and exacerbation of infectious diseases:A review

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World Journal of Virology 2024年第4期13卷 24-30页

作者： Amal Ali Asim Shaikh imran Sethi Salim Surani Department of Medicine Aga Khan UniversityKarachi 74800SindhPakistan Department of Medicine Dow Medical CollegeKarachi 74200SindhPakistan Department of Critical Care Medicine Marion General HospitalMarionIN 46952United States Department of Medicine&Pharmacology Texas A&M UniversityCollege StationTX 77843United States Department of Medicine Aga Khan UniversityNairobi 30270Nairobi CityKenya

Experts expressed severe concerns over the possibility of increasing burden of infectious diseases as the planet’s climate began to change years *** have been increased rates of climate-related catastrophes and as global temperatures rise,emergence of certain viruses has become a serious *** are susceptible to changing temperatures as they exhibit innate responses to thermal stress to increase *** change impacts virus reservoirs,increasing transmission rates of ***-borne diseases have already witnessed increasing numbers compared to *** non-endemic areas are encountering their first-ever infectious disease cases due to increasing ***-borne diseases are undergoing transformations provoking a heightened ***-borne illnesses are expected to increase owing to warmer *** is important to recognize that climate change has a multivariable impact on the transmission of *** climate change comes the potential of increasing interspecies interactions promoting *** factors must be considered,and an informed strategy must be *** and mitigation strategies are required to curb these diseases from *** significant evidence that climate change affects infectious diseases,gaps in research *** conducted this review to identify the potential role climate change plays in the emergence of new viruses.

关键词： Climate change Infectious disease Emergence Catastrophe Vector-borne disease

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Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

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A Game-Theoretic Approach to Safe Crowd Evacuation in Emergencies

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Computers, Materials & Continua 2024年第4期79卷 1631-1657页

作者： Maria Gul imran Ali Khan Gohar Zaman Atta Rahman Jamaluddin Mir Sardar Asad Ali Biabani May IssaAldossary Mustafa Youldash Ashraf Saadeldeen Maqsood Mahmud Asiya Abdus Salam Dania Alkhulaifi Abdullah AlTurkey31Department of Computer Science COMSATS University IslamabadAbbottabad CampusAbbottabad22010Pakistan Department of Computer Science Abbottabad University of Science and TechnologyAbbottabad22010Pakistan Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Science and Technology Unit Umm Al-Qura UniversityMakkah21955Saudi Arabia Deanship of Scientific Research Umm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Engineering College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science Faculty of Computer Science and Information TechnologyOmdurman Islamic UniversityOmdurman14415Sudan Business Analytic Program Department of Management and MarketingCollege of Business AdministrationUniversity of BahrainSakhir32038Bahrain

Obstacle removal in crowd evacuation is critical to safety and the evacuation system efficiency. Recently, manyresearchers proposed game theoreticmodels to avoid and remove obstacles for crowd evacuation. Game theoreticalmodels aim to study and analyze the strategic behaviors of individuals within a crowd and their interactionsduring the evacuation. Game theoretical models have some limitations in the context of crowd evacuation. Thesemodels consider a group of individuals as homogeneous objects with the same goals, involve complex mathematicalformulation, and cannot model real-world scenarios such as panic, environmental information, crowds that movedynamically, etc. The proposed work presents a game theoretic model integrating an agent-based model to removethe obstacles from exits. The proposed model considered the parameters named: (1) obstacle size, length, andwidth, (2) removal time, (3) evacuation time, (4) crowd density, (5) obstacle identification, and (6) route *** proposed work conducts various experiments considering different conditions, such as obstacle types, obstacleremoval, and several obstacles. Evaluation results show the proposed model’s effectiveness compared with existingliterature in reducing the overall evacuation time, cell selection, and obstacle removal. The study is potentially usefulfor public safety situations such as emergency evacuations during disasters and calamities.

关键词： Safe crowd evacuation public safety emergency transition probability cooperation

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Rates, predictors, and causes of readmission after transcatheter aortic valve replacement in patients with chronic kidney disease

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World Journal of Cardiology 2024年第7期16卷 402-411页

作者： Taha Teaima Gianfranco Bittar Carlini Rohan A Gajjar imran Aziz Sami J Shoura Abdul-Rahim Shilbayeh Naim Battikh Tareq Alyousef Division of Cardiology Department of MedicineJohn H.StrogerJr.Hospital of Cook CountyChicagoIL 60612United States

BACKGROUND Transcatheter aortic valve replacement(TAVR)is a revolutionary procedure for severe aortic *** coexistence of chronic kidney disease(CKD)and TAVR introduces a challenge that significantly impacts patient *** To define readmission rates,predictors,and causes after TAVR procedure in CKD stage 1-4 *** We used the national readmission database 2018 and 2020 to look into readmission rates,causes and predictors after TAVR procedure in patients with CKD stage *** Out of 24758 who underwent TAVR and had CKD,7892(32.4%)patients were readmitted within 90 days,and had higher adjusted odds of being females(adjusted odds ratio:1.17,95%CI:1.02-1.31,P=0.02)with longer length of hospital stay>6 days,and more comorbidities including but not limited to diabetes mellitus,anemia,and congestive heart failure(CHF).CONCLUSION Most common causes of readmission included CHF(18.0%),sepsis,and complete atrioventricular *** readmission predictors with very close followup is warranted to prevent such high rate of readmission.

关键词： Chronic kidney disease Transcatheter aortic valve replacement Readmission Predictors Rates

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Preparation and Characterization of Vitamin-D Incorporated Marshmallow

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Open Journal of Medicinal Chemistry 2024年第2期14卷 15-28页

作者： Muhammad Ajmal Rubina Bibi Rauf imran Muhammad Ahmed Bin Azher College of Pharmacy University of Punjab Lahore Pakistan Department of Chemistry Government College Women University Sialkot Pakistan

This project looks at a novel way to enhance the sensory experience of vitamin D ingestion by incorporating it into marshmallows. This investigation used a human panel taste test with twelve individuals, an index of swelling, and a stability evaluation. Samples of vitamin D infused marshmallows were prepared and given to participants in the human panel taste test, which evaluated mouthfeel and flavor. By analyzing dissolving behavior, the swelling index test revealed unexpected erosion. In addition, a temperature threshold for storage conditions was found through a temperature sensitivity test. All of these techniques assessed the feasibility and palatability of vitamin D supplementation with marshmallow flavor, offering insights into both the possible advantages and difficulties. The marshmallow infusion technique effectively covered up the disagreeable taste of vitamin D pills, leading to reviews that were overwhelmingly favorable (“Moderate Sweet”) and that indicated a pleasant mouthfeel. During the swelling index test, it showed erosion behavior, suggesting a certain kind of dissolution that is advantageous for nutritional absorption. Furthermore, the study discovered a temperature sensitivity threshold, highlighting how crucial proper storage conditions are.

关键词： Vitamin D Marshmellow Infusion Taste Making Supplement Adherence Nutrient Delivery

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