Juxtapose of System Performance for Food Calorie Estimation Using IoT and Web-based Indagation

A rudimentary aspect of human life is the health of an individual,and most commonly the wellbeing is impacted in a colossal manner through the consumption of food. The intake of calories therefore is a crucial aspect that must be meticulously monitored. Various health gremlins can be largely circumvented when there is a substantial balance in the number of calories ingested versus the quantity of calories expended.The food calorie estimation is a popular domain of research in recent times and is meticulously analyzed through various image processing and machine learning techniques. However,the need to scrutinize and evaluate the calorie estimation through various platforms and algorithmic approaches aids in providing a deeper insight on the bottlenecks involved,and in improvising the bariatric health of an individual. This paper pivots on comprehending a juxtaposed approach of food calorie estimation through the use of employing Convolution Neural Network(CNN)incorporated in Internet of Things(IoT),and using the Django framework in Python,along with query rule-based training to analyze the subsequent actions to be followed post the consumption of food calories in the constructed webpage. The comparative analysis of the food calorie estimate implemented in both platforms is analyzed for the swiftness of identification,error rate and classification accuracy to appropriately determine the optimal method of use. The simulation results for IoT are carried out using the Raspberry Pi4B model,while the Anaconda prompt is used to run the server holding the web page.

Calorie restriction potentiates epigallocatechin-3-gallate-mediated Nrf2 activation in hepatocytes of aged rats

Objective:To explore the combinatorial effect of epigallocatechin-3-gallate(EGCG)and calorie restriction on activation of nuclear factor erythroid 2-related factor 2(Nrf2),a transcription factor involved in the antioxidant defense system of aged rats.Methods:Aged male Wistar rats were calorie-restricted and treated with EGCG orally for 45 days.The initial body weight of aged rats was recorded,and the final body weight was measured at the end of the experimental period.Serum lipid and lipoprotein status,oxidative stress markers such as free radicals and malondialdehyde levels,and reduced glutathione were assessed.In addition,RT-PCR and Western blotting analyses were performed.Results:Calorie restriction potentiated the effect of EGCG on enhancing antioxidant status,improving the levels of serum lipid and lipoproteins,upregulating Nrf2 and Bcl2,and downregulating Keap1,cullin3,Bax and cytochrome c in aged rats.Conclusions:Calorie restriction can promote EGCG-mediated Nrf2 activation in aged rats.This preliminary finding paves the way for a combinatory approach to replenishing the antioxidant status during aging,thereby reducing the risk for age-associated degenerative diseases.

Very low calorie ketogenic diet and common rheumatic disorders:A case report

BACKGROUND The scientific literature provides evidence that nutritional ketosis can be an important support in the treatment of pathologies in which inflammation is present,as recent studies have shown that ketone bodies have anti-inflammatory activity in numerous diseases,including rheumatic diseases.We report the case of a 22-year-old woman with class I obesity and juvenile idiopathic arthritis who started treatment with a very low calorie ketogenic diet(VLCKD).CASE SUMMARY The patient was a 22-year-old woman diagnosed with juvenile idiopathic arthritis at age 4 years and with a body mass index(BMI)of 30.8 kg/m2,waist circumference(WC)80 cm,fat mass(FM)28.1 kg,free FM 45.7 kg,and visceral adipose tissue(VAT)3.5 kg,assessed on bioimpedance analysis.She was treated using a commercial VLCKD weight-loss program(PNK®method);this program provides high-biological-value protein preparations and natural foods.Each protein preparation contains 15 g protein,4 g carbohydrate,3 g fat,and 50 mg omega-3 docosahexaenoic acid,with an energy content of 90–120 kcal.After four months on the program,the BMI was 28.6 kg/m2,WC 73 cm,FM 23.2 kg,free FM 41.9 kg,and VAT 2.9 kg.CONCLUSION VLCKD enabled the patient to reach her target weight and to reduce her joint pain and headaches.Laboratory inflammatory indices also normalized.

University Student Sample Is Unable to Accurately Assess Their Calorie Needs: Implications for Weight Management and Menu Labeling

National surveys have shown that over 80% of adults do not know their recommended calorie levels. Lack of knowledge about calorie needs could be contributing to the high prevalence of obesity in the US. Young adulthood is a crucial period for the development of dietary behaviors that continue into later adulthood and influence the risk of obesity and chronic disease. This study examined university students’ knowledge of their recommended calorie needs. Subjects (N = 153) were students at Texas Tech University in Fall 2010. Students were given a survey to assess perceived daily calorie need (PDCN) and perceived daily calorie intake (PDCI). Their recommended daily calorie needs (RDCN) and actual calorie intakes (ACI) were determined using MyPyramid.gov. PDCN, PDCI, RDCN, and ACI were compared to determine students’ ability to accurately estimate and consume recommended daily calorie levels. The range of their PDCN was 120 kcal to 10,000 kcal. Only 19.7% of students estimated their RDCN accurately. There were significant differences between PDCN and RDCN (t [152] = ?3.223, P = 0.002);PDCI and ACI (t [114] = 3.246, P = 0.002);and ACI and RDCN (t [114] = ?5.6, P = 0.000). Nearly 40% of these university students were overweight. BMI had a significant effect (P = 0.001) on students’ estimation of their RDCN as students with underweight/normal BMI were more accurate. Nutrition education programs focused on calorie needs should be implemented with university students so they will be able to effectively use calorie information on food labels and menus for weight management.

Chemical, Nutritional and Organoleptical Characteristics of Orange-Based Formulated Low-Calorie Jams

Twelve low-calorie orange-based formulated jams were prepared mainly from orange, pumpkin and papaya, and then sweetened using fructose (F), stevioside (St) and sucralose (Su). The nutritional value of formulated jams was estimated after the approximate chemical composition and total soluble solid have been determined. The effect of storage on total phenolic compounds, antioxidant capacity, carotenoids content and vitamin C was investigated. Organoleptical attributes of prepared low-calorie jams were done as well. Results indicated that the nutritive value [kcal 100 g–1 fw] ranged from 88.10 ± 0.60 to 164.34 ± 0.41;total phenol content (TPC, mg GAE 100 g–1 fw] ranged from 188.52 ± 2.45 to 411.79 ± 3.3;the antioxidant capacity (μmol TE g–1 fw) ranged from 14.57 ± 0.86 to 32.39 ± 1.19;total carotenoids [mg 100 g–1 fw] ranged from 115.20 ± 5.66 to 204.33 ± 4.21;vitamin C [mg 100 g fw] ranged from 8.94 ± 1.07 to 28.77 ± 4.46;total soluble solids [Brix] ranged from 22.53 ± 0.05 to 43.37 ± 0.13. Jams storage for a period of 12 months at room temperature led to a decrease in vitamin C content, TPC, antioxidant capacity, while total soluble solids (TSS) and carotenoids increased during storage. The results of organoleptical attributes showed that the formulas O11, O1 had the highest score of color and odor respectively while O7 recorded maximum score for taste, texture and bitterness respectively. Statistical analysis showed that storage intervals and treatments had a significant (p < 0.05) effect on sensory quality of diet jam. The organoleptical characteristics were affected with the extension of shelf-life. Addition of stevioside and sucralose to formulate the low-calorie jam increased total phenol and antioxidant capacity, improved color, taste and produced targeted low-calorie jams. The use of sweeteners such as fructose, sucralose and stevioside in the manufacture of orange diet jam was shown to be satisfactory, resulting in low-calorie jams, improved the quality and could be produced commercially.

Nutritional, Chemical and Organoleptical Characteristics of Low-Calorie Fruit Nectars Incorporating Stevioside as a Natural Sweetener

The study is aiming at preparation of low-calorie fruit nectars for diabetes and weight maintaining approaches as well as consumer satisfaction. Therefore, twenty low-calorie fruit-based formulated nectars were prepared mainly from orange, pomegranate, guava and mango pulps which sweetened with sucrose or sucrose— replaced at 25%, 50%, 75% and 100% using stevioside. Primitively, the yield of fresh fruits had been calculated. Consequently, nutritional, chemical and organoleptical characteristics of prepared fruit nectars have been determined. Results indicated that total solids content was in range of 5.57% - 13.20%, 9.90% - 14.37%, 8.25% - 13.27% and 8.25% - 16.50% for orange, pomegranate, guava and mango nectars, respectively. Dependently, caloric value resulted 21.57 to 51.08, 38.31 to 55.62, 31.93 to 51.37 and 31.93 to 63.86 kcal 100 g-1 fw for orange, pomegranate, guava and mango nectars, respectively. Total phenols content [TPC, mg GAE 100 g-1 dw] ranged from 665.12 to 747.41, 1180.42 to 1319.47, 742.54 to 848.27 and 418.01 to 472.42 for orange, pomegranate, guava and mango nectars, respectively. The antioxidant capacity by DPPH method [μmol TE g-1 dw] ranged from (20.79 to 26.51), (47.13 to 56.56), (60.68 to 69.25) and (8.39 to 13.32) for orange, pomegranate, guava and mango nectars, respectively. Total carotenoids [mg 100 g-1 dw] were the highest in mango nectars ranged from (102.99 to 110.52) in mango nectar with 100% sugar and mango nectar with 100% stevioside, respectively. Anthocyanins content recorded 6.14 mg 100 g-1 dw in pomegranate nectar with 100% sugar, while increased to be 9.01 mg 00 g-1 dw in pomegranate nectar with 100% stevioside. Ascorbic acid [mg 100 g fw] ranged from 23.41 to 27.53, 15.73 to 18.32, 25.72 to 30.87 and 18.07 to 20.98 for orange, pomegranate, guava and mango nectars, respectively. The results of organoleptical attributes showed no effect of sugar substituting by stevioside on color, odor and mouth feel. The most dramatic effect of sugar substituting had been observed on taste, bitter after taste and the overall acceptability of prepared nectars with high substitution levels. Practically, using stevioside to produce low-calorie nectars was shown to be satisfactory up to 50% - 75% substituting level, resulting low-calorie nectars and could be applied commercially.

A disregard for calories during sampling: Exploring the “samples don’t count” effect

Product sampling is an important part of food retailing promotion. We explore how food sampling affects individuals’ total caloric estimates of a consumption episode. In a field study, at a small self-serve frozen yogurt store, 144 participants were randomly assigned to either a control or samples’ condition. Analysis of variance showed that individuals who had no or one sample overestimated the number of calories they were consuming, while those who had two or more samples underestimated their caloric intake.

Changes Induced by Physical Activity, Weight Loss and Calorie Restriction in Body Composition, Lipoproteins and Functional Capacity in Obese Congolese Women

Background. The effects of physical exercises combined with a low-calorie diet on weight loss, body composition, lipoproteins profile, and physical fitness had been well described. However, Central Africa’s studies investigating these kinds of diets and exercise regimens are lacking. Objective. To investigate the effects of adding 14-weeks exercises to a hypocaloric diet on changes in body composition, lipoproteins concentrations, and physical capacities in obese Congolese women. Population and Methods. In total, 34 obese women aged 30 - 39 years (mean age: 33.7 ± 2.4 years) assigned to 14-weeks training program and low energy ketogenic diet. Body composition was assessed using classic methods and impedancemetry. Fasting plasma glucose (FPG) and fasting serum insulin were assessing using enzymatic colorimetric and radioim-munoradiometric methods. HOMA-IR and lipoproteins concentrations were assessed using standardized laboratory methods. VO2peak was measured on a treadmill during a progressive exercise test. Speed, cadence and stride length were measured along the 10-m level walkway. Muscular endurance was measured using the tests of sit-up and inflections-extensions of elbows. All the variables of the study were assessed at the beginning, in the 7-weeks, and in the 14-weeks of training methods. Results. Declines in body weight (16%), percent fat (12.1%), fat weight (26.4%), abdominal fat (34.2%), and waist circumference (10.4%) were found. A significant decrease in FPG (13%), fasting serum insulin (60.9%), HOMA-IR (64.7%), total cholesterol (12.2%), LDL-cholesterol (20.3%), triglycerides (92.8%), and VLDL-triglycerides (17.5%) was shown. In contrast, significant increase in HDL-cholesterol (27.13%) was found. The peak oxygen consumption VO2peak relative to body weight improved more in the 14-weeks training program (13.4%). Obese women exhibited higher values in the 14-weeks training program for speed gait (16.5%), cadence (9.1%), and stride length (15.7%) during normal walk and rapid walk. Weight loss combined with a low-calorie diet and 14-weeks training program improved significantly muscular endurance capacities. Conclusion. Exercise added to hypocaloric diet leads to decreases in body composition, to improve in insulin sensitivity, to enhancement of VO2peak and functional fitness. This may be helpful for the treatment of the metabolic complications of abdominal obesity.

Pivotal role of SIRT6 in calorie restriction, aging and inflammation

Background The aggravating trend of aging population has brought us with great medical challenges. Calorie restriction （CR） has various beneficial effects on health, including lifespan prolongation and functional im- provement of multiple organisms. SIRT6, a member of the Sirtuin family of NAD^＋-dependent histone deacetylases, has been shown to play a key role in mediating the effects of CR. Aim Here we show how CR-triggered SIRT6-de- pendent pathways affect aging and the critical role of SIRT6 on inflammation. Methods 24-month-old mice were fed under ad libitum （AL） or CR condition for 6 months to determine the effects of CR. In addition, we took low glucose （LG） cultured WI38 human fibroblasts as a model to mimic CR in vitro. Further more, we stably overex- pressed or knockdown SIRT6 in WI38 to identify the role of SIRT6 in cell senescence and inflammation. Results Aged mice with CR had improved renal pathology and enhanced SIRT6 expression compared with AL group. In ad- dition, compared with normal glucose （NG） group, LG group had prolonged lifespan and increased expression of SIRT6. Furthermore, increased SA-β-gal positive cells were observed in SIRT6-deficient cells while the overexpres- sion of SIRT6 could delay the replicative senescence effectively. NF-KB was involved in the SIRT6 mediated lon- gevity control. SIRT6 overexpressed WI38 had low translocate rate of NF-KB into the nucleus and SIRT6 could at- tenuate the NF-KB signaling by deacetylating the RelA subunit of NF-KB complex. Conclusion In this study, we show that CR prevents age-dependent renal insufficiency by up-regulation of SIRT6. CR-triggered SIRT6 activation suppresses NF-KB signaling via preventing nuclear translocation of NF-KB. Here we identified the beneficial effects of CR on renal aging and determined the crucial role of SIRT6 on CR-mediated lifespan extension.

Expression of Sirt1 and Sirt2 in the Injured Optic Retina of Calorie-Restricted Rats

Purpose:To investigate retinal ganglion cell (RGC) survival after optic nerve injury in calorie-restricted (CR) rats,and analyze the potential role of Sirtuins.Methods:Ten-month old male Sprague-Dawley rats (n=14) were divided into calorie restricted (CR) and ad libitum (AL) groups.In the CR group (n=7),the rats were denied access to food every other day.Animals in the AL group (n=7) had had free access to food.PN-ON grafting was carried out on the right eye of all subjects after 5 months of feeding.Three weeks postoperatively,retina samples were collected,half of which were fixed in 4% paraformaldehyde (PFA) and subjected to standard immunofluorescence staining for TUJ-1.The remaining samples were subjected to total RNA analysis and RT-PCR for Sirt1 and 2 expression.Results:Comparing the amount of TUJ-1 staining between the groups,the mean density and the total number of RGCs showed no significant difference.RT-PCR results indicated that mRNA expression of Sirtuin2 in the CR group was significantly lower than that in the AL group,whereas no statistically significant difference was observed between the two groups regarding the mRNA expression of Sirt1.Conclusion:Calorie restriction had no impact on the survival of injured RGCs.The down-regulated mRNA expression of Sirt2 in the CR group may indicate an improved capacity for regeneration among these animals,but more work is needed to explore this possibility.

基于CiteSpace和VOSviewer可视化软件对饮食限制调控炎症的研究现状与热点分析

目的:基于CiteSpace和VOSviewer可视化软件对饮食限制(DR)调控炎症文献进行定量可视化分析,探索DR调控炎症领域的研究热点和趋势。方法:检索2010年1月1日至2022年9月29日Web of Science核心数据库中收录的DR调控炎症相关文献共1678篇,经筛查最终获得1344篇,使用CiteSpace和VOSviewer可视化软件对检索到的文献数据进行年发文量、国家、机构、作者、被引频次和关键词的定量和可视化分析。结果:最终获得的1344篇文献年发文量总体呈上升趋势,文献最高被引频次为1676次,美国(481篇)是出产文献数量最多的国家,中国(181篇)位居第二。DR调控炎症领域研究热点集中在热量限制(CR)、生酮饮食、衰老、代谢性疾病、脂肪组织及肠道菌群等方面。结论:DR调控炎症愈来愈受到国际和国内研究者青睐,未来研究热点可能是CR模拟物(CRM)、肠道菌群、神经退行性疾病和心血管疾病,总体研究趋势为进一步明确DR的抗炎机制,寻找新的治疗靶点,将更多经过体外和动物模型证实的有效方案进行更严格的临床试验。

双酶协同转化龙眼汁中蔗糖生成低聚果糖研究

目的探究葡萄糖氧化酶协同果糖基转移酶转化龙眼汁中蔗糖生成低聚果糖、并减少龙眼汁葡萄糖含量的效果,实现减少龙眼汁中热量糖含量制备出低热量龙眼汁。方法以天然龙眼汁为原料,通过控制不同的酶添加次序、酶添加量、龙眼汁体系pH和酶处理时间的单因素变量法,探究葡萄糖氧化酶协同果糖基转移酶转化龙眼汁中蔗糖生成低聚果糖的较优工艺条件;采用高效液相色谱法测定龙眼汁中游离糖组成及含量。结果采用两种酶分段处理的方法,控制葡萄糖氧化酶添加量为60 U/g、反应温度为35℃、初始pH 6.0、饱和碳酸钙溶液添加量9.6%、通氧处理时间4h,可有效消耗龙眼汁中原始葡萄糖和转化过程中产生的葡萄糖,使葡萄糖消耗率达到93.56%,并使龙眼汁中低聚果糖占比由果糖基转移酶单独处理时的31.72%提高到58.08%。结论采用葡萄糖氧化酶协同果糖基转移酶处理龙眼汁的方法,能有效降低龙眼汁中热量糖含量,制备出低热量龙眼汁。

极低热量生酮饮食的管理及临床应用

膳食治疗是超重与肥胖人群体重管理的关键措施之一。研究表明,相较于其他膳食治疗方案,极低热量生酮饮食(very low-calorie ketogenic diet,VLCKD)具有短期减重效果明显、改善胰岛素抵抗等优势,具备较高的潜在临床应用价值。然而VLCKD在调节血脂、共病改善、长期减重及副作用严重程度等方面仍存在一定争议,对其临床应用产生一定困扰。本文在概述VLCKD概念与临床应用的基础上,重点阐述VLCKD对肥胖人群体重、血糖、血脂、其他疾病等的影响以及副作用的产生与预防,进而为肥胖临床膳食治疗提供参考与证据支持。

月桂酸型甘油二酯-大豆油基油泡沫的制备及其在蛋黄酱中的应用

旨在构建健康、低脂、高稳定性的新型蛋黄酱产品,以甘油和月桂酸为原料经过Novozyme 435脂肪酶催化,制备月桂酸型甘油二酯(DAG)粗产物,采用分子蒸馏和硅胶柱层析技术对粗产物进行纯化得到高纯度月桂酸型DAG(纯度>92%),以此为原料制备油泡沫,探究了搅打时间对油泡沫起泡能力、气泡粒径分布、微观结构及稳定性的影响,并将油泡沫50%部分替代或完全替代大豆油用于蛋黄酱制备,研究油泡沫对蛋黄酱流变学特性、色泽、稳定性的影响。结果表明:随着搅打时间的延长,气泡表面吸附的晶体数量明显增多,气泡粒径增大,起泡率先增大后基本保持不变,搅打时间为15 min时油泡沫起泡率最高,且此时的油泡沫储存2个月体积无明显变化;采用油泡沫部分替代及完全替代大豆油后可降低蛋黄酱的黏度,增加蛋黄酱在应力及频率扫描下的弹性模量,蛋黄酱表现出良好的塑性和稳定性,且蛋黄酱的色泽L^(*)值增加,a^(*)值和b^(*)值降低。采用月桂酸型DAG搅打获得的油泡沫可有效降低蛋黄酱的油脂含量和热量,可作为油脂替代物用于新型蛋黄酱产品的开发。

不同热量的早期营养治疗对危重病人预后的影响

目的:分析不同热量的早期营养治疗对危重病人预后的影响。方法:通过病例回顾,采用自行设计的资料收集表收集159例危重病人的一般资料、疾病相关资料及入住重症监护室(ICU)后第1周的实际摄入热量、目标热量和预后指标。根据实际摄入热量/目标热量(%)的比例将病人分为低热量(≤33.3%)、中热量(33.4%~66.7%)和高热量(>66.7%)3组,比较3组病人预后的差异。结果:高热量组的感染率(P=0.026)和医疗费用(P=0.003)均高于低热量组,且热量摄入越高的病人高血糖次数和胰岛素用量更多,但差异无统计学意义(P>0.05)。而60 d死亡率、60 d不住ICU天数、60 d不住院天数、60 d无需机械通气天数和白蛋白水平比较差异均无统计学意义(P>0.05)。结论:早期营养治疗时摄入较高的热量不能改善病人60 d死亡率等预后,反而可能增加病人的感染率和医疗费用。

Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners:A Recommendation System

Recognizing human activity(HAR)from data in a smartphone sensor plays an important role in the field of health to prevent chronic diseases.Daily and weekly physical activities are recorded on the smartphone and tell the user whether he is moving well or not.Typically,smartphones and their associated sensing devices operate in distributed and unstable environments.Therefore,collecting their data and extracting useful information is a significant challenge.In this context,the aimof this paper is twofold:The first is to analyze human behavior based on the recognition of physical activities.Using the results of physical activity detection and classification,the second part aims to develop a health recommendation system to notify smartphone users about their healthy physical behavior related to their physical activities.This system is based on the calculation of calories burned by each user during physical activities.In this way,conclusions can be drawn about a person’s physical behavior by estimating the number of calories burned after evaluating data collected daily or even weekly following a series of physical workouts.To identify and classify human behavior our methodology is based on artificial intelligence models specifically deep learning techniques like Long Short-Term Memory(LSTM),stacked LSTM,and bidirectional LSTM.Since human activity data contains both spatial and temporal information,we proposed,in this paper,to use of an architecture allowing the extraction of the two types of information simultaneously.While Convolutional Neural Networks(CNN)has an architecture designed for spatial information,our idea is to combine CNN with LSTM to increase classification accuracy by taking into consideration the extraction of both spatial and temporal data.The results obtained achieved an accuracy of 96%.On the other side,the data learned by these algorithms is prone to error and uncertainty.To overcome this constraint and improve performance(96%),we proposed to use the fusion mechanisms.The last combines deep learning classifiers tomodel non-accurate and ambiguous data to obtain synthetic information to aid in decision-making.The Voting and Dempster-Shafer(DS)approaches are employed.The results showed that fused classifiers based on DS theory outperformed individual classifiers(96%)with the highest accuracy level of 98%.Also,the findings disclosed that participants engaging in physical activities are healthy,showcasing a disparity in the distribution of physical activities between men and women.

Age-related driving mechanisms of retinal diseases and neuroprotection by transcription factor EB-targeted therapy

Retinal aging has been recognized as a significant risk factor for various retinal disorders,including diabetic retinopathy,age-related macular degeneration,and glaucoma,following a growing understanding of the molecular underpinnings of their development.This comprehensive review explores the mechanisms of retinal aging and investigates potential neuroprotective approaches,focusing on the activation of transcription factor EB.Recent meta-analyses have demonstrated promising outcomes of transcription factor EB-targeted strategies,such as exercise,calorie restriction,rapamycin,and metformin,in patients and animal models of these common retinal diseases.The review critically assesses the role of transcription factor EB in retinal biology during aging,its neuroprotective effects,and its therapeutic potential for retinal disorders.The impact of transcription factor EB on retinal aging is cell-specific,influencing metabolic reprogramming and energy homeostasis in retinal neurons through the regulation of mitochondrial quality control and nutrient-sensing pathways.In vascular endothelial cells,transcription factor EB controls important processes,including endothelial cell proliferation,endothelial tube formation,and nitric oxide levels,thereby influencing the inner blood-retinal barrier,angiogenesis,and retinal microvasculature.Additionally,transcription factor EB affects vascular smooth muscle cells,inhibiting vascular calcification and atherogenesis.In retinal pigment epithelial cells,transcription factor EB modulates functions such as autophagy,lysosomal dynamics,and clearance of the aging pigment lipofuscin,thereby promoting photoreceptor survival and regulating vascular endothelial growth factor A expression involved in neovascularization.These cell-specific functions of transcription factor EB significantly impact retinal aging mechanisms encompassing proteostasis,neuronal synapse plasticity,energy metabolism,microvasculature,and inflammation,ultimately offering protection against retinal aging and diseases.The review emphasizes transcription factor EB as a potential therapeutic target for retinal diseases.Therefore,it is imperative to obtain well-controlled direct experimental evidence to confirm the efficacy of transcription factor EB modulation in retinal diseases while minimizing its risk of adverse effects.

基于图神经网络的个性化食谱推荐算法

在线食谱分享流行,食物推荐变得关键。基于现有推荐系统存在的问题:(1)忽略食材关联,影响个性化推荐;(2)未考虑用户对卡路里的偏好,本文提出自监督的卡路里感知异构图网络(SCHGN),建模食材关系并融入卡路里信息。该模型构建用户、食谱、食材和卡路里的异构图,并揭示它们之间的复杂联系。其次,通过自监督学习探索食材共现性,使用分层传递和注意力机制捕捉用户对卡路里的动态喜好。食物推荐基于用户的卡路里感知与食谱表示的相似性。实验证明此方法有效。