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Research on Interpolation Method for Missing Electricity Consumption Data

Computers, Materials & Continua 2024年第2期78卷 2575-2591页

作者： Junde Chen Jiajia Yuan Weirong Chen Adnan Zeb md Suzauddola Yaser A.Nanehkaran Department of Electronic Commerce Xiangtan UniversityXiangtan411105China School of Information Engineering Yancheng Teachers UniversityYancheng224000China Department of Information and Electrical Engineering Ningde Normal UniversityNingde352100China College of Engineering Southern University of Science and TechnologyShenzhen518005China School of Informatics Xiamen UniversityXiamen361005China

Missing value is one of the main factors that cause dirty *** high-quality data,there will be no reliable analysis results and precise ***,the data warehouse needs to integrate high-quality data *** the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss *** the problem of missing electricity consumption data,this study proposes a group method of data handling(GmdH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity ***,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data *** missing data are randomly interpolated within the upper and lower ***,the GmdH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption *** last,this process is implemented iteratively until the missing values do not *** a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete ***,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.

关键词： Data interpolation GmdH electricity consumption data distribution system

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Tuberculosis-diabetes comorbidities: Mechanistic insights for clinical considerations and treatment challenges

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World Journal of Diabetes 2024年第5期15卷 853-866页

作者： md Abdul Alim Al-Bari Nicholas Peake Nabil Eid Department of Pharmacy University of RajshahiRajshahi 6205Bangladesh Biosciences and Chemistry and Biomolecular Research Centre Sheffield Hallam UniversitySheffield S11WBUnited Kingdom Department of Anatomy Division of Human BiologySchool of MedicineInternational Medical UniversityKuala Lumpur 57000Malaysia

Tuberculosis(TB)remains a leading cause of death among infectious diseases,particularly in poor *** infections,multidrug-resistant and ex-tensively drug-resistant TB strains,as well as the coexistence of chronic illnesses such as diabetes mellitus(DM)greatly aggravate TB morbidity and ***[particularly type 2 DM(T2DM)]and TB have converged making their control even more *** contemporary global epidemics,TB-DM behaves like a syndemic,a synergistic confluence of two highly prevalent diseases.T2DM is a risk factor for developing more severe forms of multi-drug resistant-TB and TB recurrence after preventive *** a bidirectional relationship exists between TB and DM,it is necessary to concurrently treat both,and promote recommendations for the joint management of both *** are also some drug-drug interactions resulting in adverse treatment outcomes in TB-DM patients including treatment failure,and *** addition,autophagy may play a role in these ***,the TB-DM comorbidities present several health challenges,requiring a focus on multidisciplinary collaboration and integrated strategies,to effectively deal with this double *** effectively manage the comorbidity,further screening in affected countries,more suitable drugs,and better treatment strategies are required.

关键词： Diabetes mellitus Tuberculosis Coinfections Comorbidity Drug-drug interactions Autophagy Treatment challenges

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Development of small intestinal barrier function and underlying mechanism in Chinese indigenous and Duroc piglets during suckling and weaning periods

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Animal Nutrition 2024年第1期16卷 429-442页

作者： Sujuan Ding Yating Cheng md Abul Kalam Azad Qian Zhu Pan Huang Xiangfeng Kong CAS Key Laboratory of Agro-ecological Processes in Subtropical Region Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic ProcessInstitute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China College of Advanced Agricultural Sciences University of Chinese Academy of SciencesBeijing 100049China

This study explored the developmental changes in small intestinal barrier function and the potential regulatory roles of intestinal microbiota and metabolites in different breeds of piglets during suckling and weaning *** black(TB),Xiangcun black(XB),and Duroc(DR)piglets(10 litters per breed;half male and half female)were selected for sampling to evaluate the intestinal barrier-related indexes and intestinal microbiota and metabolites at 1,10,21(weaned),and 24(3 d after weaning)d *** results showed that weaning led to severe shedding of small intestinal microvilli and sparse microvilli arrangement.D-lactate level in the ileum of TB and XB piglets during suckling and weaning periods was lower(P<0.01)than that of DR piglets,as well as the ileal diamine oxidase level at 1 d *** expression level of mucin 1 was higher(P<0.05)in the ileum of TB and XB piglets than that of DR piglets,and it was the highest in the ileum of TB piglets at 21 d *** expression levels of mucin 2 and mucin 13 were higher(P<0.10)in TB and XB piglets than those of DR piglets at 21 d old,whereas mucin2 and mucin 13 in the ileum of TB and XB piglets were higher(P<0.05)than those of DR piglets at 24 d *** and XB piglets had a lower relative abundance of Escherichia_Shigella at 21 and 24 d old,but they had higher Streptococcus at 1 and 24 d old than DR piglets(P<0.01).Differential metabolites between the three breeds of piglets were mainly related to oxidative phosphorylation,steroid biosynthesis,and bile acid ***,these findings suggest that different pig breeds present differences in the development of the small intestinal barrier *** with DR piglets,TB and XB piglets had higher intestinal permeability during the suckling period and a stronger intestinal mechanical barrier after ***,intestinal microbiota and metabolites are the key factors for developing small intestinal barrier functions in different breeds of piglets.

关键词： Chinese indigenous piglet Duroc piglet Immune function Intestinal barrier function Weaning stress

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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning

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Big Data Mining and Analytics 2024年第2期7卷 294-314页

作者： Shahriar Kaisar md Mamunur Rashid Abdullahi Chowdhury Sakib Shahriar Shafin Joarder Kamruzzaman Abebe Diro Department of Information Systems and Business Analytics RMIT UniversityMelbourne 3000Australia School of Engineering and Technology Central Queensland UniversityRockhampton 4700Australia Faculty of Engineering Computer and Mathematical ScienceUniversity of AdelaideAdelaide 5005Australia Centre for Smart Analytics Federation University AustraliaBallarat 3350Australia School of Accounting Information Systems and Supply ChainRMIT UniversityMelbourne 3000Australia

Telemarketing is a well-established marketing approach to offering products and services to prospective *** effectiveness of such an approach,however,is highly dependent on the selection of the appropriate consumer base,as reaching uninterested customers will induce annoyance and consume costly enterprise resources in vain while missing interested *** introduction of business intelligence and machine learning models can positively influence the decision-making process by predicting the potential customer base,and the existing literature in this direction shows promising ***,the selection of influential features and the construction of effective learning models for improved performance remain a ***,from the modelling perspective,the class imbalance nature of the training data,where samples with unsuccessful outcomes highly outnumber successful ones,further compounds the problem by creating biased and inaccurate ***,customer preferences are likely to change over time due to various reasons,and/or a fresh group of customers may be targeted for a new product or service,necessitating model retraining which is not addressed at all in existing works.A major challenge in model retraining is maintaining a balance between stability(retaining older knowledge)and plasticity(being receptive to new information).To address the above issues,this paper proposes an ensemble machine learning model with feature selection and oversampling techniques to identify potential customers more accurately.A novel online learning method is proposed for model retraining when new samples are available over *** newly introduced method equips the proposed approach to deal with dynamic data,leading to improved readiness of the proposed model for practical adoption,and is a highly useful addition to the *** experiments with real-world data show that the proposed approach achieves excellent results in all cases(e.g.,98.6

关键词： machine learning online learning oversampling telemarketing imbalanced dataset ensemble model

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Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2605-2625页

作者： Jungpil Shin md.Al Mehedi Hasan Abu Saleh Musa Miah Kota Suzuki Koki Hirooka School of Computer Science and Engineering The University of AizuAizuwakamatsu965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for ***,existing JSL recognition systems have faced significant performance limitations due to inherent *** response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning *** system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL ***,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second ***,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL *** reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the *** assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)*** results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

关键词： Japanese Sign Language(JSL) hand gesture recognition geometric feature distance feature angle feature GoogleNet

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Baerveldt glaucoma implant with Supramid© ripcord stent in neovascular glaucoma: a case series

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International Journal of Ophthalmology(English edition) 2024年第2期17卷 265-271页

作者： Yuen Keat Gan Shiivaa Manjare Birapadian Muhammad Irfan Abdul Jalal Norshamsiah md Din Department of Ophthalmology Faculty of MedicineUniversiti Kebangsaan MalaysiaKuala Lumpur 56000Malaysia UKM Molecular Biology Institute Universiti Kebangsaan MalaysiaKuala Lumpur 56000Malaysia Hospital Canselor Tuanku Muhriz Jalan Yaacob LatifBandar Tun RazakKuala Lumpur 56000Malaysia

AIM:To report the outcome of Baerveldt glaucoma implant(BGI)with Supramid©ripcord use in neovascular glaucoma(NVG).METHODS:We retrospectively evaluated the surgical outcome of the BGI with Supramid©3/0 ripcord stent in patients with *** tube ligation or venting slits were *** was removed after 3mo if the target intraocular pressure(IOP)was not *** success was defined as IOP≤21 mm Hg with(qualified success)or without IOP-lowering medications(complete success).RESULTS:Twenty-six eyes from 24 patients were included in the *** median duration of follow-up was 4[interquartile range(IQR)=1-5]y,ranging from 0.5 to *** decreased by a mean of 24.2 mm Hg(59.7%);from a mean of 40.5±12.6 mm Hg at baseline to 16.3±11.9 mm Hg,P≤*** number of glaucoma medications reduced from a median of 5(IQR=5-6)to 1(IQR=0-2,P≤0.001)at the final *** success rates were 88.0%at 1y,34.8%at 3y,66.7%at 4y,and 50%at *** phase(HP)in the first 3mo occurred in 15/26 eyes(57.7%)with a mean IOP of 31.1 mm ***:BGI with Supramid©ripcord stent gives close to 90%of the overall survival rate at the final follow-up without significant early ***,early HP is still a challenge.

关键词： neovascular glaucoma Supramid ripcord stent Baerveldt glaucoma implant

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Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis:Evidence from Shimla district of North-west Indian Himalayan region

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Journal of Mountain Science 2024年第7期21卷 2368-2393页

作者： SHARMA Aastha SAJJAD Haroon RAHAMAN md Hibjur SAHA Tamal Kanti BHUYAN Nirsobha Department of Geography Faculty of SciencesJamia Millia IslamiaNew Delhi-110025India

The Indian Himalayan region is frequently experiencing climate change-induced ***,landslide susceptibility assessment assumes greater significance for lessening the impact of a landslide *** paper makes an attempt to assess landslide susceptibility in Shimla district of the northwest Indian Himalayan *** examined the effectiveness of random forest(RF),multilayer perceptron(MLP),sequential minimal optimization regression(SMOreg)and bagging ensemble(B-RF,BSMOreg,B-MLP)models.A landslide inventory map comprising 1052 locations of past landslide occurrences was classified into training(70%)and testing(30%)*** site-specific influencing factors were selected by employing a multicollinearity *** relationship between past landslide occurrences and influencing factors was established using the frequency ratio *** effectiveness of machine learning models was verified through performance *** landslide susceptibility maps were validated by the area under the receiver operating characteristic curves(ROC-AUC),accuracy,precision,recall and *** key performance metrics and map validation demonstrated that the BRF model(correlation coefficient:0.988,mean absolute error:0.010,root mean square error:0.058,relative absolute error:2.964,ROC-AUC:0.947,accuracy:0.778,precision:0.819,recall:0.917 and F-1 score:0.865)outperformed the single classifiers and other bagging ensemble models for landslide *** results show that the largest area was found under the very high susceptibility zone(33.87%),followed by the low(27.30%),high(20.68%)and moderate(18.16%)susceptibility *** factors,namely average annual rainfall,slope,lithology,soil texture and earthquake magnitude have been identified as the influencing factors for very high landslide *** texture,lineament density and elevation have been attributed to high and moderate ***,the study calls for devising suitable landslide mitig

关键词： Landslide susceptibility Site-specific factors Machine learning models Hybrid ensemble learning Geospatial techniques Himalayan region

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Upper gastrointestinal bleeding in Bangladeshi children:Analysis of 100 cases

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World Journal of Gastrointestinal Endoscopy 2024年第1期16卷 44-50页

作者： md Wahiduzzaman Mazumder md Benzamin Department of Pediatric Gastroenterology and Nutrition Bangabandhu Sheikh Mujib Medical UniversityDhaka 1000Bangladesh Department of Pediatric Gastroenterology and Nutrition Sylhet M A G Osmani Medical College HospitalSylhet 3100Bangladesh

BACKGROUND Upper gastrointestinal bleeding(UGIB)is defined as bleeding that occurs proximal to the ligament of Treitz and can sometimes lead to potentially serious and life-threatening clinical situations in ***,the cause of UGIB differs significantly depending on the geographic location,patient population and presence of comorbid *** To observe endoscopic findings of UGIB in children at a tertiary care center of *** This retrospective study was carried out in the department of Pediatric Gastroenterology and Nutrition of Bangabandhu Shiekh Mujib Medical University,a tertiary care hospital of Bangladesh,between January 2017 and January *** collected from hospital records of 100 children who were 16 years of age or younger,came with hematemesis,melena or both hematemesis and *** patients underwent upper gastrointestinal endoscopy(Olympus CV 1000 upper gastrointestinal video endoscope)after initial *** investigations to diagnose portal hypertension and chronic liver disease with underlying causes for management purposes were also *** A total of 100 patients were *** was common in the age group 5-10 years(42%),followed by above 10 years(37%).Hematemesis was the most common presenting symptom(75%)followed by both hematemesis and melena(25%).UGIB from ruptured esophageal varices was the most common cause(65%)on UGI endoscopy followed by gastric erosion(5%)and prolapsed gastropathy(2%).We observed that 23%of children were normal after endoscopic *** Ruptured esophageal varices were the most common cause of UGIB in children in *** causes included gastric erosions and prolapsed gastropathy syndrome.

关键词： Bangladeshi Children Endoscopy Upper gastrointestinal bleeding Esophageal varices

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A multi-mechanistic approach to the oil recovery study of a family of amphiphilic polysaccharides

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Petroleum Research 2024年第2期9卷 238-249页

作者： Funsho Afolabi Syed MMahmood Lunech Mario Nur Asyraf md Akhir Bennett Tackie-Otoo Hamid Sharifigaliuk Center of Research in Enhanced Oil Recovery Universiti Teknologi PETRONASSeri IskandarMalaysia Center for Subsurface Imaging Universiti Teknologi PETRONASSeri IskandarMalaysia Research Institute of Petroleum Industry(RIPI) TehranIran

Chemical enhanced oil recovery(cEOR)remains one of the most potent tertiary recovery ***,it is expensive and rarely environmentally ***-based amphiphilic polymers have been suggested as an alternative to eradicating the challenges of conventional cEOR because of cost-effectiveness,and ***,few in-depth studies exist in the literature to investigate the prospects of these materials.A new family of amphiphilic polysaccharides was synthesized by hydrophobic modification of cellulose sulphate,and the EOR functionalities were *** novel biopolymers exhibited the ability to alter rock wetting *** terms of recovery,one of the variants of the synthesized bio amphiphilic polymer(D-I)was able to reduce residual oil saturation to 12%at harsh conditions of 60,000 ppm salinity at 75℃.Micromodel visual analysis revealed that the performance of the novel materials was due to the combination of mobility control,IFT lowering and emulsification,wettability alteration,and *** a performance commensurate to that of a commercial hydrophobically modified polymer,it can be said that the novel amphiphilic polysaccharides can stand as a viable cEOR agent for oilfield applications.

关键词： Bio-based polymers Amphiphilic polysaccharides EOR Cellulose sulphate Environmental sustainability

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Structure Design of Underwater Micro Robot

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Modern Mechanical Engineering 2024年第1期14卷 12-24页

作者： md Shahriar Sujan Joy Howlader md Jahangir Alam md Al Imran Tapu College of Harbor Coastal & Offshore Engineering Hohai University Nanjing China Department of Computer Science and Information Technology College of Computer and Information Hohai University Nanjing China College of Civil and Transportation Engineering Hohai University Nanjing China

A submergible robot model has been presented, and for 3D printing measures, their parts have been modified enough. It has been shown in our design that using printable connectors—a few engines and weight arrangements can be carried out, permitting distinctive moving prospects. After presenting our configuration and delineating a bunch of potential structures, a helpful model dependent on open-source equipment and programming arrangements has been presented conditionally. The model can be effectively tried in a few makes-a plunge streams and lakes throughout the planet. The unwavering quality of the printed models can be strained distinctly in generally shallow waters. Nonetheless, we accept that their accessibility will inspire the overall population to construct and test submerged robots, subsequently accelerating the improvement of imaginative arrangements and applications.

关键词： Submergible Robot Thruster Adapter Raspberry Pi 3D Printer Open Source Software

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