The effect of supportive care in preventing peri-implant diseases and implant loss: A systematic review and meta-analysis

ObjectiveTo evaluate the influence of supportive treatment (SPT) during a maintenance period after implant placement on implant survival rate (SR) and incidence of peri-implant diseases.Material and methodsA systemic literature search for studies published up to June 2018 was conducted by two independent reviewers using Pubmed/MEDLINE, EMBASE, and Cochrane Central databases. Clinical controlled trials (CCT) involved in SPT protocol with more than 1-year follow-up were included. Quantitative meta-analyses were carried out to analyze the risk ratio (RR) of SR, the incidence of peri-implantitis, and peri-implant mucositis between SPT and non-SPT groups. Any potential confounding factors were investigated using meta-regression.ResultsNine CCTs fulfilled the criteria. To evaluate the influence of SPT on SR, peri-implantitis, and peri-implant mucositis, six of nine, three of nine, and three of nine articles were included in further meta-analysis, respectively. SPT group significantly showed higher SR (RR: 1.10; p < 0.001), lower prevalence of peri-implantitis (RR: 0.25; p < 0.001) and peri-implant mucositis (RR: 0.57; p < 0.001) than the non-SPT group. Meta-regression of the selected studies failed to find an association between SR, peri-implantitis, and peri-implant mucositis and confounding factors: application of chemical agents and the frequency of SPT.ConclusionSPT can potentially improve peri-implant health in terms of SR, peri-implantitis, and peri-implant mucositis. Additionally, the correlation in recall interval and adjunctive use of chemical agents during SPT to peri-implant diseases and implant loss could not be found.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151300/1/clr13496.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151300/2/clr13496_am.pd

Impact of timing on soft tissue augmentation during implant treatment: A systematic review and metaâ analysis

BackgroundTo achieve a predictable esthetic and functional outcome, soft tissue augmentation has become popular in implant treatment.ObjectivesThe aim of this systematic review and metaâ analysis was to assess the influence of different timing for soft tissue augmentation during implant treatment on soft tissue conditions and its stability.Material and methodsElectronic and manual searches for articles written in English up to September 2017 were performed by two independent reviewers. Human clinical studies with the purpose of evaluating outcomes (at least 3â month followâ up) of autogenous soft tissue graft for augmentation during implant treatment, either simultaneous or after implant placement (staged), were included. Cumulative changes of keratinized tissue width (KTW), soft tissue thickness (STT), and midâ buccal mucosal recession (MR) data were analyzed with a randomâ effects model to compare the postoperative outcomes.ResultsTwentyâ nine human studies (eight randomized clinical trials, six cohort studies, and 15 case series) that met the inclusion criteria were included. For the overall data, the weighted mean STT gain (1 year after surgery) was 1.03 mm (95% CI: 0.78â 1.29 mm), among which the simultaneous group was 1.12 mm (95% CI: 0.75â 1.49 mm) and staged group (3â 6 months after implant placement) was 0.95 mm (95% CI: 0.58â 1.31 mm). There was no statistically significant difference in KTW and MR between 3 months and more than 3 months after surgery.ConclusionsThis review revealed that the stability of soft tissue, in terms of KTW and midâ buccal MR, can be obtained 3 months after surgery. There is no difference between simultaneous and staged soft tissue augmentation during implant treatment, and both procedures significantly enhance KTW and STT.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/144259/1/clr13148.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144259/2/clr13148_am.pd

InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation

Indoor monocular depth estimation has attracted increasing research interest. Most previous works have been focusing on methodology, primarily experimenting with NYU-Depth-V2 (NYUv2) Dataset, and only concentrated on the overall performance over the test set. However, little is known regarding robustness and generalization when it comes to applying monocular depth estimation methods to real-world scenarios where highly varying and diverse functional \textit{space types} are present such as library or kitchen. A study for performance breakdown into space types is essential to realize a pretrained model's performance variance. To facilitate our investigation for robustness and address limitations of previous works, we collect InSpaceType, a high-quality and high-resolution RGBD dataset for general indoor environments. We benchmark 11 recent methods on InSpaceType and find they severely suffer from performance imbalance concerning space types, which reveals their underlying bias. We extend our analysis to 4 other datasets, 3 mitigation approaches, and the ability to generalize to unseen space types. Our work marks the first in-depth investigation of performance imbalance across space types for indoor monocular depth estimation, drawing attention to potential safety concerns for model deployment without considering space types, and further shedding light on potential ways to improve robustness. See \url{https://depthcomputation.github.io/DepthPublic} for data

Optimization plan for excess warehouse storage in e-commerce–based plant shops: a case study for Chinese plant industrial

The rapid development of e-commerce in China has played a critical role in the development of the national economy and ongoing modernization. The plant industry is unique among industries that employ e-commerce sales models because its products exhibit special characteristics such as high death and damage rates. Therefore, its e-commerce and logistical requirements are stricter than in other industries and, as a result, excess warehouse storage can be extremely difficult for e-commerce–based plant shops to manage. Numerous studies have indicated the need to identify a product’s most up-to-date market conditions, as well as the type, function, and size of warehouses. Therefore, based on a case study, this study proposes an optimization plan for solving excess warehouse storage in e-commerce–based plant shops. First, sales volume data of the case company, Enterprise A, were analyzed to predict future sales. Then, entropy and the technique for order preference by similarity to an ideal solution were used to construct the decision-making model. Finally, a cloud warehouse–based optimization plan was proposed to solve excess warehouse storage in e-commerce–based plant shops. This plan can serve as a reference for decision-makers or executives in e-commerce–based plant shops when handling excess warehouse storage

In-situ disinfection and a new downstream processing scheme from algal harvesting to lipid extraction using ozone-rich microbubbles for biofuel production

The scaling up and downstream processing costs of biofuels from microalgae are major concerns. This study focuses on reducing the cost by using energy efficient methods in the production of microalgae biomass and the downstream processes (biomass harvesting and lipid extraction). Ozonation of Dunaliella salina (green alga) and Halomonas (Gram-negative bacterium) mixed cultures for 10 min at 8 mg/L resulted in a reduction in the bacterial contaminant without harming the microalga. Harvesting of D. salina cells through microflotation resulted in a 93.4% recovery efficiency. Ozonation of the harvested microalgal cells for 60 min produced three main saturated hydrocarbon compounds (2-pentadecanone, 6, 10, 14-trimethyl; hexadecanoic acid; octadecanoic acid) consisting of 16 to 18 carbons. By systematically switching the carrier gas from CO2 to O3, the microbubble-driven airlift loop bioreactor (ALB) delivers nutrient to the culture and in-situ disinfection respectively. Further, modulating the bubble size to match particle size ensures recovery of the cells after culture. All three key operations (disinfection, harvesting and lipid extraction) are assembled in a scalable, relatively energy efficient process

Liver angiosarcoma, a rare liver malignancy, presented with intraabdominal bleeding due to rupture- a case report

Liver angiosarcoma is a rare disease, however it still ranks as the third of most common primary liver maligancies. The prognosis of liver angiosarcoma is very poor with almost all patients with this kind of disease die within 2 years after diagnosis. No specific symptoms and signs are closely associated with this disease. Here, we report a case presenting shock status at first due to rupture of liver angiosarcoma- induced internal bleeding. After emergent transarterial embolization (TAE), she received partial hepatectomy two weeks later. 4 months after operation, she is still with a good performance status without obvious recurrence or metastasis identified

Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis

BackgroundPrevious studies have examined symptom clusters in children with acute leukemia, yet a knowledge gap persists regarding central symptom clusters and their influencing factors. By identifying these central clusters and associated factors, healthcare providers can enhance their understanding and effective management of symptoms. Our study seeks to address this gap by identifying symptom clusters, exploring central clusters, and investigating the demographic and health-related factors associated with these clusters in children with acute leukemia undergoing chemotherapy.MethodsA total of 586 children with acute leukemia from January 2021 to April 2023 were recruited from China. They were investigated using Memorial Symptom Assessment Scale 10-18 during chemotherapy. The principal component analysis was used to identify the symptom clusters. An association network was conducted to describe the relationships among symptoms and clusters. A multiple linear model was used to investigate the associated factors for the severity of overall symptoms and each symptom cluster.ResultsFive clusters were identified, including oral and skin cluster, somatic cluster, self-image disorder cluster, gastrointestinal cluster and psychological cluster. Gastrointestinal cluster was the most central symptom cluster. Age, sex, clinical classification, number of having chemotherapy and education degree and marital status of the primary caregiver are associated with the severity of these five symptom clusters.ConclusionOur study highlights the importance of evaluating symptom clusters in children with acute leukemia during chemotherapy. Specifically, addressing gastrointestinal symptoms is crucial for effective symptom management and overall care

Bithiazole: An Intriguing Electron-Deficient Building for Plastic Electronic Applications.

The heterocyclic thiazole unit has been extensively used as electron-deficient building block in π-conjugated materials over the last decade. Its incorporation into organic semiconducting materials is particularly interesting due to its structural resemblance to the more commonly used thiophene building block, thus allowing the optoelectronic properties of a material to be tuned without significantly perturbing its molecular structure. Here, we discuss the structural differences between thiazole- and thiophene-based organic semiconductors, and the effects on the physical properties of the materials. An overview of thiazole-based polymers is provided, which have emerged over the past decade for organic electronic applications and it is discussed how the incorporation of thiazole has affected the device performance of organic solar cells and organic field-effect transistors. Finally, in conclusion, an outlook is presented on how thiazole-based polymers can be incorporated into all-electron deficient polymers in order to obtain high-performance acceptor polymers for use in bulk-heterojunction solar cells and as organic field-effect transistors. Computational methods are used to discuss some newly designed acceptor building blocks that have the potential to be polymerized with a fused bithiazole moiety, hence propelling the advancement of air-stable n-type organic semiconductors