Changes in acute and late toxicity and patient-reported health-related quality of life following radiotherapy in women with breast cancer:A 1-year longitudinal study

Objective:The objective of this study was to investigate the frequency of acute and late toxicities,as well as changes in the quality of life(QOL)for breast cancer patients following radiotherapy(RT).Materials and Methods:A total of 108 breast cancer women were recruited for this prospective study.Data were collected at various intervals;prior to,and 1,3,6 months,and 1 year after radiation therapy.The primary outcomes were toxicity radiation therapy oncology group/European Organization for Research and Treatment of Cancer(EORTC)criteria.Our secondary outcome was QOL,measured using EORTC QLQ-C30 and Edmonton Symptom Assessment Scale.We employed Friedman’s two-way analysis to evaluate the changes in QOL over the course of 1 year.Results:The early toxicities that are most commonly experienced include pharyngeal,skin,and mucous membrane toxicity.Late toxicities frequently involve skin and submucosal toxicity.To measure patient functionality,all functional subscale scores except for the patient’s emotional state increased over time compared to pre-RT.Symptoms of the patients,which were included in the QOL symptom scale,decreased during the follow-up period,except for fatigue;however,changes in pain,insomnia,and loss of appetite did not significantly change.We identified the analogous symptom profiles in Edmonton.Although patients’overall health scores declined in the 1st and 3rd months after radiotherapy(RT),they rebounded at 6 and 12 months.Conclusion:For breast cancer patients,RT did not adversely affect functional capacity or exacerbate symptoms,but persistent fatigue did increase during the observation period.Health-care professionals ought to devise strategies to assist patients with skin toxicity and fatigue.

A Cross-Sectional Study on The Prevalence of Anemia in Maintenance Hemodialysis and Peritoneal Dialysis Patients and Its Related Factors

Objective:To study the prevalence of anemia,the proportion of hemoglobin(Hb)levels,the treatment methods,and the influencing factors of Hb levels in maintenance hemodialysis(MHD)and peritoneal dialysis patients.Methods:In this study,602 patients with maintenance hemodialysis and continuous ambulatory peritoneal dialysis were enrolled from December 2020 to December 2022 in our hospital,and their medical records were collected and summarized.The main contents included the patient’s gender,age,primary disease,dialysis duration,dialysis method,the use of erythropoietic stimulating agents(ESA),intravenous iron,and laboratory tests.A Hb index exceeding 110 g/L was set as the standard for the prevalence of anemia.Results:The rate of anemia in patients undergoing blood purification was 83%.The proportion of ESA use was 84.1%,and the proportion of iron use was 76.7%,of which the proportion of intravenous iron used was 17.0%,and the proportion of folic acid used was 28.3%.Conclusion:The incidence of anemia in MHD patients was relatively high,with a low proportion of patients reaching the standard Hb levels.Risk factors include albumin(ALB)levels,iron storage,white blood cells,C-reactive protein,cholesterol,etc.Nutritional support,iron supplementation,and prevention of micro-inflammatory reactions can effectively promote the improvement of Hb indicators in dialysis patients to prevent anemia.

Evidence-Based Nursing Practice of Reducing Immune-Related Skin Toxicity of Tumor Patients Guided by Sensitive Indicators

Purpose research on nursing sensitive indicators in tumor Patients application effect in immune-related skin toxicity management. Method select our hospital April to June, 202360 cases patients with immune therapy settings as the control group. August-October, 2023 60 cases the patients treated with immune therapy were the experimental group. The control group adopted regular nursing methods, while the experimental group sensitive Indicators, evidence-based give preventive care. The social situation, psychological state, physical function, quality of life score, incidence of skin toxicity caused by immune checkpoint inhibitors, moderate and above of the two groups of patients were compared. Incidence of skin toxicity. Result: experience group SAS score, SDS score higher than the control group, the difference was statistically significant (P < 0.05);The incidence of skin toxic reactions caused by immune checkpoint inhibitors and the incidence of moderate and above skin toxic reactions in the experimental group are lower than those in the control group, and the difference is statistically significant (P < 0.05). Conclusion: sensitive indicator guidance evidence-based preventive care can reduce the degree of immune-related skin toxicity, improve the psychological state and quality of life of tumor patients treated with immune therapy and reduce the incidence of adverse reactions, improve nursing quality and patient satisfaction.

Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land,particularly in terms of land use and price.This study focuses on 2851 county-level cities in China in 2005–2018(excluding Hong Kong,Macao,Taiwan,and‘no data’areas in Qinhai-Tibet Plateau)as the fundamental units of analysis.By employing nighttime light(NTL)data to identify shrinking cities,the propensity score matching(PSM)model was used to quantitatively examine the impact of shrinking cities on land prices,and evaluate the magnitude of this influence.The findings demonstrate the following:1)there were 613 shrinking cities in China,with moderate shrinkage being the most prevalent and severe shrinkage being the least.2)Regional disparities are evident in the spatial distribution of shrinking cities,especially in areas with diverse terrain.3)The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels.4)Shrinking cities significantly negatively impact on the overall land price(ATT=–0.1241,P<0.05).However,the extent of the effect varies significantly among different spatial regions.This study contributes novel insights into the investigation of land prices and shrinking cities,ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas.

Text duplication of papers in four medical related fields

Purpose:To reveal the typical features of text duplication in papers from four medical fields:basic medicine,health management,pharmacology and pharmacy,and public health and preventive medicine.To analyze the reasons for duplication and provide suggestions for the management of medical academic misconduct.Design/methodology/approach:In total,2,469 representative Chinese journal papers were included in our research,which were submitted by researchers in 2020 and 2021.A plagiarism check was carried out using the Academic Misconduct Literature Check System(AMLC).We generated a corrected similarity index based on the AMLC general similarity index for further analysis.We compared the similarity indices of papers in four medical fields and revealed their trends over time;differences in similarity index between review and research articles were also analyzed according to the different fields.Further analysis of 143 papers suspected of plagiarism was also performed from the perspective of sections containing duplication and according to the field of research.Findings:Papers in the field of pharmacology and pharmacy had the highest similarity index(8.67±5.92%),which was significantly higher than that in other fields,except health management.The similarity index of review articles(9.77±10.28%)was significantly higher than that of research articles(7.41±6.26%).In total,143 papers were suspected of plagiarism(5.80%)with similarity indices≥15%;most were papers on health management(78,54.55%),followed by public health and preventive medicine(38,26.58%);90.21%of the 143 papers had duplication in multiple sections,while only 9.79%had duplication in a single section.The distribution of sections with duplication varied among different fields;papers in pharmacology and pharmacy were more likely to have duplication in the data/methods and introduction/background sections,however,papers in health management were more likely to contain duplication in the introduction/background or results/discussion sections.Different structures for papers in different fields may have caused these differences.Research limitations:There were three limitations to our research.Firstly,we observed that a small number of papers have been checked early.It is unknown who conducted the plagiarism check as this can be included in other evaluations,such as applications for Science and technology projects or awards.If the authors carried out the check,text with high similarity indices may have been excluded before submission,meaning the similarity index in our research may have been lower than the original value.Secondly,there were only four medical fields included in our research.Additional analysis on a wider scale is required in the future.Thirdly,only a general similarity index was calculated in our study;other similarity indices were not tested.Practical implications:A comprehensive analysis of similarity indices in four medical fields was performed.We made several recommendations for the supervision of medical academic misconduct and the formation of criteria for defining suspected plagiarism for medical papers,as well as for the improved accuracy of text duplication checks.Originality/value:We quantified the differences between the AMLC general similarity index and the corrected index,described the situation around text duplication and plagiarism in papers from four medical fields,and revealed differences in similarity indices between different article types.We also revealed differences in the sections containing duplication for papers with suspected plagiarism among different fields.

Effects of Manganese on the Antioxidant System and Related Gene Expression Levels in the “Hong Yang” Kiwifruit Seedlings

To explore how manganese affects the antioxidant system and the expression levels of related genes of“Hong yang”seedlings,the leaves of its tissue cultured seedlings were taken as test materials,and single factor treatment was performed by changing the manganese chloride(MnCl_(2)·4H_(2)O)solution concentration when spraying the leaves.The expression levels of Mn-SOD,POD64 and POD27 genes in leaves were quantitatively analyzed by real-time quantitative PCR(qRT-PCR)at different determination times.Meanwhile,the contents of malondial-dehyde(MDA),hydrogen peroxide(H_(2)O_(2)),the activities of antioxidant enzymes,including catalase(CAT),peroxidase(POD),and superoxide dismutase(SOD).The results showed that the SOD,CAT,POD,ascorbate peroxidase(APX),and reduced glutathione(GSH)activities in leaves were the highest at 12 h post-treatment with 50μM MnCl_(2)·4H_(2)O.Furthermore,the contents of MDA and H_(2)O_(2) in leaves also peaked when the concentration of H_(2)O_(2) is 50μM,which is the minimum value.Additionally at 50μM Mn^(2+),the Mn-SOD and POD27 expression was up-regulated as compared to the control,which promoted the expression of their respective enzyme activities.However,POD64 expression increased with the increasing Mn^(2+) concentration.Therefore,50μM is the optimal concentration of Mn when exogenously applied on“Hong yang”,which improve the antioxidant enzyme activity and regulate the plant’s physiological and biochemical functions.

Bioinformatic analysis and in vivo validation of angiogenesis related genes in inflammatory bowel disease

Angiogenesis plays a significant role in the occurrence and development of inflammatory bowel disease(IBD).The aim of this study is to explore potential angiogenesis related genes(ARGs)in IBD through bioinformatics analysis and in vivo experiments.Methods:GSE57945,GSE87466,and GSE36807 were obtained from the Gene Expression Omnibus database.GSE57945 was used as the training set,while GSE87466 and GSE36807 were used as the validation set.The key ARGs associated with IBD were identified using the least absolute shrinkage and selection operator(LASSO)and random forest methods.These identified ARGs were then utilized to construct a diagnostic model for IBD.The Single-Sample Genome Enrichment Analysis,Cibersort,and Xcell methods were used to evaluate the immune infiltration.Expression of amyloid beta precursor protein(APP)was verified in the IBD mouse model induced by dextran sulfate sodium using immunohistochemistry(IHC).Results:The receiver operating curve area of GSE57945 was 0.948.Two distinct clusters were identified using consensus clustering and non-negative matrix factorization clustering.Subsequent analyses revealed significant differences in immune levels and functional enrichment between the two clusters.The successful construction of the animal model for the IBD was evident by hematoxylin and eosin staining,while IHC results showed a high expression of APP in IBD and a low expression in normal tissues.Conclusion:Our findings provide new insights into the diagnosis of IBD by ARGs,and APP could be a potential novel biomarker for IBD and promising therapeutic targets.

Health Related Physical Fitness Measures: Reference Values and Predictive Equations for Saudi Female College Students

Health related-physical fitness (HRPF) is critical for maintaining and enhancing health and quality of life. Purposes: To estimate the reference values and predictive equations for frequently used clinical field HRPF measures in a sample of Saudi female college students aged 18 - 24 years. Methods: In this cross-sectional study, body fat percentage (BF %) was estimated. Curl-up test (CUT) and sit and reach test (SRT) were applied in 216 students. The Queen’s College Step Test (QCST) was used to predict maximal oxygen consumption (VO2 max). Physical activity (PA) level was also measured using International Physical Activity Questionnaire (IPAQ). Results: The mean of BF %, SRT, CUT, and predicted VO2 max were 23.98% ± 6.13%, 17.10 ± 7.50 cm, 28.17 ± 7.72 number/min, and 39.58 ± 4.01 ml/kg/min respectively. There was no significant effect of age on all HRPF measures except for BF % (F (6,215) = 3.25, p (6,215) = 4.01, p strated that BMI was the predictor for BF % and SRT and explained 65% and 4% of total variance respectively. IPAQ score, age, and height were the predictors of CUT counting 17% of total variance. While, BMI and IPAQ score were the predictors for VO2 max and explained 13% of the total variance. Conclusion: Reference values can be used clinically in the evaluation of HRPF, in the rehabilitation process as well as in designing a program to improve the HRPF for female college students with consideration of age, height, BMI, and PA level for a particular population.

Clinical research progress of traumatic brain injury related markers

Traumatic brain injury is a brain injury caused by biomechanics effects on brain tissue,In addition to primary brain injury,secondary brain injury caused by local brain injury,edema and high intracranial pressure on surrounding brain tissue further aggravates the disease.The improvement of modern medical equipment and medical technology can provide early intervention treatment for patients.However,due to the particularity of the disease and the complexity of pathological and physiological reactions,irreversible damage often occurs in the central nervous system,with high disability rate and mortality.In recent years,it has been found that the related biological markers in the process of TBI are related to brain tissue injury and neurological function,and have important clinical application value in judging the severity of brain injury and prognosis evaluation,which has been widely studied.This paper intends to summarize the clinical research progress of TBI-related prognostic markers.

Visible-infrared person re-identification using query related cluster

Visible-infrared person re-identification(VIPR), is a cross-modal retrieval task that searches a target from a gallery captured by cameras of different spectrums.The severe challenge for VIPR is the large intra-class variation caused by the modal discrepancy between visible and infrared images.For that, this paper proposes a query related cluster(QRC) method for VIPR.Firstly, this paper uses an attention mechanism to calculate the similarity relation between a visible query and infrared images with the same identity in the gallery.Secondly, those infrared images with the same query images are aggregated by using the similarity relation to form a dynamic clustering center corresponding to the query image.Thirdly, QRC loss function is designed to enlarge the similarity between the query image and its dynamic cluster center to achieve query related clustering, so as to compact the intra-class variations.Consequently, in the proposed QRC method, each query has its own dynamic clustering center, which can well characterize intra-class variations in VIPR.Experimental results demonstrate that the proposed QRC method is superior to many state-of-the-art approaches, acquiring a 90.77% rank-1 identification rate on the RegDB dataset.

Analysis of factors related to postpartum depression in pregnancyinduced hypertension syndrome patients and construction and evaluation of nomograms

BACKGROUND It is positive to integrate and evaluate the risk factors for postpartum depression in patients with pregnancy-induced hypertension syndrome and to detect highrisk patients as early as possible,which has application value for the clinical development of personalized prevention programs and prognosis of patients.AIM To analyze factors related to postpartum depression in patients with pregnancyinduced hypertension and construct and evaluate a nomogram model.METHODS The clinical data of 276 patients with pregnancy-induced hypertension admitted to Huzhou Maternity and Child Health Care Hospital between January 2017 and April 2022 were retrospectively analyzed.We evaluated the depression incidence at 6 wk postpartum.The depression group included patients with postpartum depression,and the remainder were in the non-depression group.Multivariate logistic regression analysis and the LASSO regression model were applied to analyze the factors related to postpartum depression in patients with pregnancyinduced hypertension.After that,a risk prediction model nomogram was constructed and evaluated.RESULTS Multivariate logistic regression analysis showed that vitamin A deficiency(VAD)during pregnancy and puerperium,family history of hypertension,maternal intestinal flora imbalance,eicosapentaenoic acid(EPA),and docosahexaenoic acid(DHA)were independent risk factors for postpartum depression in patients with pregnancy-induced hypertension(P<0.05).We constructed the nomogram model based on these five risk factors.The area under the curve,specificity,and sensitivity of the model in predicting postpartum depression in patients with pregnancy-induced hypertension was 0.867(95%confidence interval:0.828–0.935),0.676,and 0.889,respectively.The average absolute error was 0.037(Hosmer-Lemeshow testχ2=10.739,P=0.217).CONCLUSION VAD during pregnancy and puerperium,family history of hypertension,maternal intestinal flora imbalance,EPA,and DHA affect postpartum depression in patients with pregnancy-induced hypertension.

Evaluation of combined detection of nuclear factor erythroid 2-related factor 2 and glutathione peroxidase 4 in primary hepatic carcinoma and preliminary exploration of pathogenesis

This study aims to analyze the clinical significance and mechanism of nuclear factor erythroid 2-related factor 2(NRF2)and glutathione peroxidase 4(GPX4)in primary hepatic carcinoma(PHC).Methods:The expression of NRF2 and GPX4 in peripheral blood of patients with PHC was determined to analyze the diagnostic value of the two combined for PHC.The prognostic significance of NRF2 and GPX4 was evaluated by 3-year followup.Human liver epithelial cells THLE-2 and human hepatocellular carcinoma cells HepG2 were purchased,and the expression of NRF2 and GPX4 in the cells was determined.NRF2 and GPX4 aberrant expression vectors were constructed and transfected into HepG2,and changes in cell proliferation and invasion capabilities were observed.Results:The expression of NRF2 and GPX4 in patients with PHC was higher than that in patients with LC or VH(p<0.05),and the two indicators combined was excellent in diagnosing PHC.Moreover,patients with high expression of NRF2 and GPX4 had a higher risk of death(p<0.05).In in vitro experiments,both NRF2 and GPX4 expression was elevated in HepG2(p<0.05).HepG2 activity was enhanced by increasing the expression of the two,vice versa(p<0.05).Conclusion:NRF2 and GPX4 combined is excellent in diagnosing PHC,and promotes the malignant development of PHC.

Reasons and effects of the decline of willing related potential living kidney donors

BACKGROUND Although the availability of related living donors(LDs)provides a better chance for receiving kidney transplantation(KT),the evaluation protocols for LD selection remain a safeguard for the LD’s safety.These protocols are variable from one center to another,resulting in variable rates of decline of the potential LDs(PLDs).The decline of willing PLDs may occur at any stage of evaluation,starting from the initial contact and counseling to the day of operation.AIM To identify the causes of the decline of PLDs,the predictors of PLD candidacy,and the effect on achieving LDKT.METHODS A retrospective study was performed on the willing PLDs who attended our outpatient clinic for kidney donation to their related potential recipients between October 2015 and December 2022.The variables influencing their candidacy rate and the fate of their potential recipients were studied.Two groups of PLDs were compared:Candidate PLDs after a completed evaluation vs non-candidate PLDs with a complete or incomplete evaluation.A multivariate logistic regression was performed to assess the factors contributing to the achievement of PLD candidacy.RESULTS Of 321 willing PLDs,257 PLDs(80.1%)accessed the evaluation to variable extents for 212 potential recipients,with a mean age(range)of 40.5±10.4(18-65)years,including 169 females(65.8%).The remaining 64 PLDs(19.9%)did not access the evaluation.Only 58 PLDs(18.1%)succeeded in donating,but 199 PDLs(62.0%)were declined;exclusion occurred in 144 PLDs(56.0%)for immunological causes(37.5%),medical causes(54.9%),combined causes(9.7%),and financial causes(2.1%).Regression and release occurred in 55 PLDs(17.1%).The potential recipients with candidate PLDs were not significantly different from those with non-candidate PLDs,except in age(P=0.041),rates of completed evaluation,and exclusion of PLDs(P<0.001).There were no factors that independently influenced the rate of PLD candidacy.Most patients who failed to have KT after the decline of their PLDs remained on hemodialysis for 6 mo to 6 years.CONCLUSION The rate of decline of willing related PLDs was high due to medical or immunological contraindications,release,or regression of PLDs.It reduced the chances of high percentages of potential recipients in LDKT.

A Joint Entity Relation Extraction Model Based on Relation Semantic Template Automatically Constructed

The joint entity relation extraction model which integrates the semantic information of relation is favored by relevant researchers because of its effectiveness in solving the overlapping of entities,and the method of defining the semantic template of relation manually is particularly prominent in the extraction effect because it can obtain the deep semantic information of relation.However,this method has some problems,such as relying on expert experience and poor portability.Inspired by the rule-based entity relation extraction method,this paper proposes a joint entity relation extraction model based on a relation semantic template automatically constructed,which is abbreviated as RSTAC.This model refines the extraction rules of relation semantic templates from relation corpus through dependency parsing and realizes the automatic construction of relation semantic templates.Based on the relation semantic template,the process of relation classification and triplet extraction is constrained,and finally,the entity relation triplet is obtained.The experimental results on the three major Chinese datasets of DuIE,SanWen,and FinRE showthat the RSTAC model successfully obtains rich deep semantics of relation,improves the extraction effect of entity relation triples,and the F1 scores are increased by an average of 0.96% compared with classical joint extraction models such as CasRel,TPLinker,and RFBFN.

Generating Sets of the Complete Semigroup of Binary Relations Defined by Semilattices of the Class Σ8(X, 5)

In this article, we study generating sets of the complete semigroups of binary relations defined by X-semilattices of unions of the class Σ8(X, 5). Found uniquely irreducible generating set for the given semigroups and when X is finite set formulas for calculating the number of elements in generating sets are derived.

Tunable dispersion relations manipulated by strain in skyrmion-based magnonic crystals

We theoretically investigate the propagation characteristics of spin waves in skyrmion-based magnonic crystals. It is found that the dispersion relation can be manipulated by strains through magneto-elastic coupling. Especially, the allowed bands and forbidden bands in dispersion relations shift to higher frequency with strain changing from compressive to tensile,while shifting to lower frequency with strain changing from tensile to compressive. We also confirm that the spin wave with specific frequency can pass the magnonic crystal or be blocked by tuning the strains. The result provides an advanced platform for studying the tunable skyrmion-based spin wave devices.

The chemical characteristics of different sodium iron ethylenediaminetetraacetate sources and their relative bioavailabilities for broilers fed with a conventional corn‑soybean meal diet

Background Our previous studies demonstrated that divalent organic iron(Fe)proteinate sources with higher complexation or chelation strengths as expressed by the greater quotient of formation(Qf)values displayed higher Fe bioavailabilities for broilers.Sodium iron ethylenediaminetetraacetate(NaFeEDTA)is a trivalent organic Fe source with the strongest chelating ligand EDTA.However,the bioavailability of Fe when administered as NaFeEDTA in broilers and other agricultural animals remains untested.Herein,the chemical characteristics of 12 NaFeEDTA products were determined.Of these,one feed grade NaFeEDTA(Qf=2.07×10^(8)),one food grade NaFeEDTA(Qf=3.31×10^(8)),and one Fe proteinate with an extremely strong chelation strength(Fe-Prot ES,Qf value=8,590)were selected.Their bioavailabilities relative to Fe sulfate(FeSO_(4)·7H_(2)O)for broilers fed with a conventional corn-soybean meal diet were evaluated during d 1 to 21 by investigating the effects of the above Fe sources and added Fe levels on the growth performance,hematological indices,Fe contents,activities and gene expressions of Fe-containing enzymes in various tissues of broilers.Results NaFeEDTA sources varied greatly in their chemical characteristics.Plasma Fe concentration(PI),transferrin saturation(TS),liver Fe content,succinate dehydrogenase(SDH)activities in liver,heart,and kidney,catalase(CAT)activity in liver,and SDH mRNA expressions in liver and kidney increased linearly(P<0.05)with increasing levels of Fe supplementation.However,differences among Fe sources were detected(P<0.05)only for PI,liver Fe content,CAT activity in liver,SDH activities in heart and kidney,and SDH mRNA expressions in liver and kidney.Based on slope ratios from multiple linear regressions of the above indices on daily dietary analyzed Fe intake,the average bioavailabilities of Fe-Prot ES,feed grade NaFeEDTA,and food grade NaFeEDTA relative to the inorganic FeSO_(4)·7H_(2)O(100%)for broilers were 139%,155%,and 166%,respectively.Conclusions The bioavailabilities of organic Fe sources relative to FeSO_(4)·7H_(2)O were closely related to their Qf values,and NaFeEDTA sources with higher Qf values showed higher Fe bioavailabilities for broilers fed with a conventional corn-soybean meal diet.

Optimal investment based on relative performance and weighted utility

This paper studies the optimal portfolio allocation of a fund manager when he bases decisions on both the absolute level of terminal relative performance and the change value of terminal relative performance comparison to a predefined reference point. We find the optimal investment strategy by maximizing a weighted average utility of a concave utility and an Sshaped utility via a concavification technique and the martingale method. Numerical results are carried out to show the impact of the extent to which the manager pays attention to the change of relative performance related to the reference point on the optimal terminal relative performance.

Case Retrieval Strategy of Turning Process Based on Grey Relational Analysis

To solve the problem of long response time when users obtain suitable cutting parameters through the Internet based platform,a case-based reasoning framework is proposed.Specifically,a Hamming distance and Euclidean distance combined method is designed to measure the similarity of case features which have both numeric and category properties.In addition,AHP(Analytic Hierarchy Process)and entropy weight method are integrated to provide features weight,where both user preferences and comprehensive impact of the index have been concerned.Grey relation analysis is used to obtain the similarity of a new problem and alternative cases.Finally,a platform is also developed on Visual Studio 2015,and a case study is demonstrated to verify the practicality and efficiency of the proposed method.This method can obtain cutting parameters which is suitable without iterative calculation.Compared with the traditional PSO(Particle swarm optimization algorithm)and GA(Genetic algorithm),it can obtain faster response speed.This method can provide ideas for selecting processing parameters in industrial production.While guaranteeing the characteristic information is similar,this approach can select processing parameters which is the most appropriate for the production process and a lot of time can be saved.

Enhancing Data Forwarding Efficiency in SIoT with Multidimensional Social Relations

Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this problem.The proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among nodes.Three new metrics are defined:the intensity of node social relationships,node activity,and community connectivity.Within the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node activity.When a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between communities.The proposed algorithm was compared to three existing routing algorithms in simulation experiments.Results indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.