Onlay bone graft maintenance using guided bone regeneration, platelet rich plasma, and their combination.

Onlay bone grafts have a bad reputation of resorption with loss of contour and volume. Rigid fixation reduces the incidence of resorption but does not prevent it. Literature shows reduction of resorption by applying guided bone regeneration (GBR) barriers and platelet-rich plasma (PRP). Investigating the effect of combining them together to reduce resorption was the aim of this study. This study included 4 groups: control group, GBR group, PRP group, and GBR + PRP group. Twenty rabbits were used (40 mandibular halves). Onlay bone grafts were fixed by titanium miniscrews in all groups. Computed tomography scans of harvested mandibles after euthanasia allowed calculations of bone graft volume and density. Onlay bone graft volumes in all experimental groups were significantly higher than in the control group. Volume maintenance in the GBR group was significantly higher than in the PRP group. There was no significant difference in the volume of onlay bone grafts between the group of combined GBR + PRP and GBR alone. It was concluded that, to maintain the volume of onlay bone grafts, either GBR or PRP can be added. Combining them did not add any advantage over the GBR alone.

Greedy Ensemble Hyperspectral Anomaly Detection.

Hyperspectral images include information from a wide range of spectral bands deemed valuable for computer vision applications in various domains such as agriculture, surveillance, and reconnaissance. Anomaly detection in hyperspectral images has proven to be a crucial component of change and abnormality identification, enabling improved decision-making across various applications. These abnormalities/anomalies can be detected using background estimation techniques that do not require the prior knowledge of outliers. However, each hyperspectral anomaly detection (HS-AD) algorithm models the background differently. These different assumptions may fail to consider all the background constraints in various scenarios. We have developed a new approach called Greedy Ensemble Anomaly Detection (GE-AD) to address this shortcoming. It includes a greedy search algorithm to systematically determine the suitable base models from HS-AD algorithms and hyperspectral unmixing for the first stage of a stacking ensemble and employs a supervised classifier in the second stage of a stacking ensemble. It helps researchers with limited knowledge of the suitability of the HS-AD algorithms for the application scenarios to select the best methods automatically. Our evaluation shows that the proposed method achieves a higher average F1-macro score with statistical significance compared to the other individual methods used in the ensemble. This is validated on multiple datasets, including the Airport-Beach-Urban (ABU) dataset, the San Diego dataset, the Salinas dataset, the Hydice Urban dataset, and the Arizona dataset. The evaluation using the airport scenes from the ABU dataset shows that GE-AD achieves a 14.97% higher average F1-macro score than our previous method (HUE-AD), at least 17.19% higher than the individual methods used in the ensemble, and at least 28.53% higher than the other state-of-the-art ensemble anomaly detection algorithms. As using the combination of greedy algorithm and stacking ensemble to automatically select suitable base models and associated weights have not been widely explored in hyperspectral anomaly detection, we believe that our work will expand the knowledge in this research area and contribute to the wider application of this approach.

Extracorporeal Membrane Oxygenation (ECMO) Use as Supportive Therapy in a Patient With Acute Respiratory Distress Syndrome Due to Rupture of a Pulmonary Hydatid Cyst.

Pulmonary echinococcosis is a parasitic infection that accounts for 20% of the infected cases with echinococcosis. Patients may present after a cyst rupture associated with a variety of complications, including acute respiratory distress syndrome (ARDS). Extracorporeal membrane oxygenation (ECMO) is known as supportive therapy for patients with respiratory and cardiac failure, including ARDS associated with multiple causes. Parasitic infection associated with ARDS due to cyst rupture managed with ECMO as bridging to definitive surgical intervention is documented in two previous case reports only. Here, we are presenting a 21-year-old female with a pulmonary hydatid cyst complicated by ARDS and managed with ECMO.

A combination of generated hydrogen sulfide and nitric oxide activity has a potentiated protectant effect against cisplatin induced nephrotoxicity.

Aim: Hydrogen sulfide and nitricoxide possess cytoprotective activity and in vivo, they are generated from exogenous sodium hydrosulfide and L-arginine respectively. Cisplatin is a major chemotherapeutic agent used to treat cancer and has a high incidence of nephrotoxicity as a side effect. The study aim was to explore the effects of NaHS and L-arginine or their combination on cisplatin induced nephrotoxicity in rats. Methods: Wistar Kyoto rats were given a single intraperitoneal dose of cisplatin (5 mg/kg) followed either by NaHS (56 µmol/kg, i. p.), L-arginine (1.25 g/L in drinking water) or their combination daily for 28-days. Post-mortem plasma, urine and kidney samples were collected for biochemical assays and histopathological analysis. Results: Cisplatin decreased body weights and increased urinary output, while plasma creatinine and urea levels were elevated, but sodium and potassium concentrations were diminished. The renal function parameters, blood urea nitrogen and creatinine clearance, were raised and decreased respectively. Regarding markers of reactive oxygen species, plasma total superoxide dismutase was reduced, whereas malondiadehyde was augmented.Cisplatin also diminished plasma and urinary H2S as well as plasma NO, while NaHS and L-arginine counteracted this activity on both redox-active molecules. Cisplatin cotreatment with NaHS, and/or L-arginine exhibited a reversal of all other measured parameters. Conclusion: In current study, NaHS and L-arginine as monotherapy protected the rats from cisplatin-induced nephrotoxicity but the combination of both worked more effectively suggesting the augmented anti-inflammatory and antioxidative potential of test treatments when administered together.

The effect of light curing time and intensity on the bond strength and fracture resistance of orthodontic adhesive.

Background: This study aimed to measure the shear bond strength and compressive strength of orthodontic adhesives at different curing times and intensities. Methods: Ninety extracted human premolars were used. Orthodontic brackets were bonded on the buccal surface of the teeth with orthodontic adhesive light-cured using VRN-VAFU LED curing light at different curing times (1, 3 and 5 seconds) and intensities (1000, 1600 and 2300 mW/cm2 ). A universal testing machine was used to measure the shear bond strength. The ratio of the adhesive remnant and compressive strength of the orthodontic adhesive, at each curing time at the different intensities, were also evaluated. The results were statistically analyzed using one-way analysis of variance followed by Tukey's test. Results: The lowest bond strength values (6.4, 9.9 and 12.6 MPa) were recorded with 1000 mW/ cm2 intensity (at all curing times) in comparison with the other intensities (P<0.05). Increasing the curing time significantly increased the bond strength of the orthodontic brackets (P<0.05), except when the curing time was increased from 3 sec to 5 sec at 1600 mW/cm2 intensity. The highest compressive strength values (130.3, 147.1 and 174 MPa) were recorded at 2300 mW/ cm2 intensity (at all curing times) compared to the other intensities (P<0.05). The highest values of the ratio of the adhesive remnants were recorded at 1000 mW/cm2 intensity (at all curing times) compared to the other intensities (P<0.05). Conclusion: Although, increasing the curing time and\or the curing intensity has a positive effect on the bond strength and compressive strength of the orthodontic adhesive, it might be possible to suggest reducing the curing time of orthodontic adhesive to 1 sec at curing intensity of 2300 mW/cm2.

Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction.

Novel corona-virus (nCOV) has been declared as a pandemic that started from the city Wuhan of China. This deadly virus is infecting people rapidly and has targeted 4.93 million people across the world, with 227 K people being infected only in Italy. Cases of nCOV are quickly increasing whereas the number of nCOV test kits available in hospitals are limited. Under these conditions, an automated system for the classification of patients into nCOV positive and negative cases, is a much needed tool against the pandemic, helping in a selective use of the limited number of test kits. In this research, Convolutional Neural Network-based models (one block VGG, two block VGG, three block VGG, four block VGG, LetNet-5, AlexNet, and Resnet-50) have been employed for the detection of Corona-virus and SARS_MERS infected patients, distinguishing them from the healthy subjects, using lung X-ray scans, which has proven to be a challenging task, due to overlapping characteristics of different corona virus types. Furthermore, LSTM model has been used for time series forecasting of nCOV cases, in the following 10 days, in Italy. The evaluation results obtained, proved that the VGG1 model distinguishes the three classes at an accuracy of almost 91%, as compared to other models, whereas the approach based on the LSTM predicts the number of nCOV cases with 99% accuracy.

Theileria lestoquardi in Sudan is highly diverse and genetically distinct from that in Oman.

Malignant ovine theileriosis is a severe tick-borne protozoan disease of sheep and other small ruminants which is widespread in sub-Saharan Africa and the Middle East. The disease is of considerable economic importance in Sudan as the export of livestock provides a major contribution to the gross domestic product of this country. Molecular surveys have demonstrated a high prevalence of sub-clinical infections of Theileria lestoquardi, the causative agent, among small ruminants. No information is currently available on the extent of genetic diversity and genetic exchange among parasites in different areas of the country. The present study used a panel of T. lestoquardi specific micro- and mini-satellite genetic markers to assess diversity of parasites in Sudan (Africa) and compared it to that of the parasite population in Oman (Asia). A moderate level of genetic diversity was observed among parasites in Sudan, similar to that previously documented among parasites in Oman. However, a higher level of mixed-genotype infection was identified in Sudanese animals compared to Omani animals, consistent with a higher rate of tick transmission. In addition, the T. lestoquardi genotypes detected in these two countries form genetically distinct groups. The results of this work highlight the need for analysis of T. lestoquardi populations in other endemic areas in the region to inform on novel approaches for controlling malignant theileriosis.

Thyroid low-grade B-cell lymphoma (MALT type) with extreme plasmacytic differentiation: report of a case diagnosed by fine-needle aspiration and flow cytometric study.

We describe a case of thyroid marginal-zone B-cell lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma) with extreme plasmacytic differentiation in an 80-year-old woman who had presented with a rapidly growing thyroid swelling. The diagnosis was initially suspected on fine-needle aspiration (FNA) and subsequently confirmed by flow cytometric analysis of the aspirated material. The smears revealed features of Hashimoto's thyroiditis admixed with large numbers of atypical large plasmacytoid lymphoid cells accompanied by variable numbers of small lymphocytes and mature plasma cells. The differential diagnosis of a predominantly plasmacytic smears on FNA of the thyroid is discussed herein, with emphasis on the role of immunophenotypic studies to exclude or confirm the diagnosis of lymphoma.

Dry socket: frequency, clinical picture, and risk factors in a palestinian dental teaching center.

AIMS: The objectives of this study were to find out the frequency, clinical picture, and risk factors of dry socket at the Dental Teaching Center of Al-Quds University in Palestine. METHODS AND MATERIALS: Two previously used questionnaires were accomplished in this study over a one year period. The first questionnaire was completed for every patient who had one or more permanent teeth extracted in the Dental Surgery Clinic. The other one was completed for every patient suffered a postoperative pain and was diagnosed with dry socket. RESULTS: There were 1305 dental extractions performed in 805 patients. The overall frequency of dry socket was 3.2%. The incidence of dry socket following non-surgical extractions was 1.7% while it was 15% following surgical extractions (P< 0.005). The incidence of dry socket was significantly higher in smokers (12%) than in non-smokers (4%) (P < 0.005), however, there is a strong association between the amount of smoking and the incidence of dry socket (P < 0.002). The incidence of dry socket was significantly higher in the single extraction cases (13%) than in the multiple extraction cases (5%) (P = 0.005). Age, sex, medical history, extraction site, amount of local anesthesia and experience of operator play no role in the occurrence of dry socket. CONCLUSION: Smoking, surgical trauma and single extractions are considered predisposing factors in the occurrence of dry socket. On the other hand, factors like: age, sex, medical history, extraction site, amount of anesthesia, and operator experience have no effect on the observation of dry socket.