Tag: pubmed

Environ Sci Pollut Res Int. 2022 Dec 27. doi: 10.1007/s11356-022-24873-x. Online ahead of print.

ABSTRACT

This study aims to develop a chitosan-zinc oxide nano-adsorbent-coated sand (CZOCS) filter bed for getting rid of milk processing industry wastewater (MPIW) in a safe way. Chitosan zinc oxide nano-adsorbent (CZnO) of 88.35 ± 2.89 d.nm size was used to coat naturally available sand through a calcination process at 200 °C for a heating rate of 5 °C/min. The characteristics of the diffraction peaks and functional groups are attributed to the nature of CZnO loading on the sand surface. The increase in breakthrough and exhaustion times is caused by the biological oxygen demand (BOD) and chemical oxygen demand (COD) of influent having more time to interact with the adsorbent as bed height increases, resulting in higher reduction efficiencies. Lower bed heights (10 cm) which saturate faster than higher bed heights (40 cm) result in a shorter mass transfer time. Adsorption capacity at the 95% column exhaustion point increased from 611.04 to 1089.63 mg/g for BOD and from 4512.29 to 5600.81 mg/g for COD. Different kinds of kinetic models have been used to forecast breakthrough curves employing experimental data. Statistical and error function parameters were used to choose the best-fit model. Among the models investigated, the Thomas model was shown to be the best-fit with the highest R-square values of 0.9942 and 0.9939. The CZOCS has high reusability and could be used for up to six cycles of organic pollutant adsorption. Aside from that, novel CZOCS could be used to clean real MPIW, and making it one of the most promising adsorbents.

PMID:36574133 | DOI:10.1007/s11356-022-24873-x

Environ Sci Pollut Res Int. 2022 Dec 27. doi: 10.1007/s11356-022-24816-6. Online ahead of print.

ABSTRACT

CO₂ emissions have become a topical issue worldwide, but few studies have considered the spatial effect of income on carbon emissions and explored the relationship between CO₂ emissions and income by establishing direct, indirect, and total environmental Kuznets curves (EKCs). Using an annual panel dataset collected over the 1997-2017 period in China, this study first analyzed the spatiotemporal evolutionary process of CO₂ emissions and subsequently developed direct, indirect, and total EKC-based spatial Durbin model (SDM) and partial derivative approach. These results indicate that, first, CO₂ emissions have characteristic positive spatial autocorrelation, with gravity centers that have shifted westward. Second, the direct EKC forms a line, while the total EKC resembles a lying-S shape as well as the total EKC, which indicates that compared to local economic growth, neighboring growth plays a very different role in impacting local CO₂ emissions. Furthermore, neighboring economic growth seems to have stronger impacts on local emissions, and the turning point of the total EKC comes much earlier than that of the conventional EKC due to the spillover effects of economic growth. Finally, the growth of the population, as well as the rise of energy intensity, can stimulate CO₂ emissions in both local and neighboring regions. Industrialization seems to have a nonsignificant impact on emission changes due to the offsetting effects of the positive direct and negative indirect impacts of the share of secondary industry. Improvements in local urbanization may lead to an increase in emissions, while neighboring improvements may have stronger restricting effects; thus, urbanization improvement is beneficial to emissions reduction. This study provides more scientific information from both local and neighboring perspectives, which may differ from conventional results but still be beneficial for emissions reduction policy-makers to introduce corresponding measures.

PMID:36574123 | DOI:10.1007/s11356-022-24816-6

Radiol Med. 2022 Dec 27. doi: 10.1007/s11547-022-01580-8. Online ahead of print.

ABSTRACT

PURPOSE: To develop and validate a 3D-convolutional neural network (3D-CNN) model based on chest CT for differentiating active pulmonary tuberculosis (APTB) from community-acquired pneumonia (CAP).

MATERIALS AND METHODS: Chest CT images of APTB and CAP patients diagnosed in two imaging centers (n = 432 in center A and n = 61 in center B) were collected retrospectively. The data in center A were divided into training, validation and internal test sets, and the data in center B were used as an external test set. A 3D-CNN was built using Keras deep learning framework. After the training, the 3D-CNN selected the model with the highest accuracy in the validation set as the optimal model, which was applied to the two test sets in centers A and B. In addition, the two test sets were independently diagnosed by two radiologists. The 3D-CNN optimal model was compared with the discrimination, calibration and net benefit of the two radiologists in differentiating APTB from CAP using chest CT images.

RESULTS: The accuracy of the 3D-CNN optimal model was 0.989 and 0.934 with the internal and external test set, respectively. The area-under-the-curve values with the 3D-CNN model in the two test sets were statistically higher than that of the two radiologists (all P < 0.05), and there was a high calibration degree. The decision curve analysis showed that the 3D-CNN optimal model had significantly higher net benefit for patients than the two radiologists.

CONCLUSIONS: 3D-CNN has high classification performance in differentiating APTB from CAP using chest CT images. The application of 3D-CNN provides a new automatic and rapid diagnosis method for identifying patients with APTB from CAP using chest CT images.

PMID:36574111 | DOI:10.1007/s11547-022-01580-8

Clin Exp Nephrol. 2022 Dec 27. doi: 10.1007/s10157-022-02295-w. Online ahead of print.

ABSTRACT

BACKGROUND: High-risk screening for Fabry disease in dialysis patients is an effective means for reducing the number of undiagnosed cases. However, such screening has not been conducted in Chiba Prefecture, Japan. Herein, we aimed to estimate the prevalence of Fabry disease among patients undergoing hemodialysis in Chiba Prefecture by high-risk screening using α-galactosidase A (αGal A) activity measurement, and examine the hemodialysis effect on αGal A activity.

METHODS: Patients who underwent maintenance hemodialysis at 25 facilities in Chiba Prefecture were recruited. The αGal A activity was measured using the dried blood spot (DBS) test as the first screening. If the enzyme activity was lower than the cut-off, the second screening was performed with the same method before and after dialysis.

RESULTS: Overall, 2924 patients (2036 men and 888 women) were included from which 94 cases (45 men and 48 women) showed decreased αGAL activity in the first screening and 3 (two men and one women) in the second screening. Genetic testing was performed in 3 patients, and the c.1078G > A mutation in GLA gene was detected in one male patient (0.03%). There has been a statistically significant decrease in αGal A activity of DBS at post-dialysis compared to that at pre-dialysis (20.5 ± 10.4 pmol/h/disk and 22.7 ± 11.5 pmol/h/disk, p < 0.0001).

CONCLUSION: The prevalence of Fabry disease among patients undergoing hemodialysis in Chiba Prefecture was estimated as 0.03%. This is the first time that dialysis has been shown to affect the αGal A activity.

PMID:36574104 | DOI:10.1007/s10157-022-02295-w

Clin Exp Nephrol. 2022 Dec 27. doi: 10.1007/s10157-022-02302-0. Online ahead of print.

ABSTRACT

BACKGROUND: Interstitial nephritis is a common cause of renal failure. Gallium-67 scintigraphy is reportedly useful for diagnosing interstitial nephritis; however, its ability to assess disease activity remains unknown. We aimed to analyze the relationship between the renal uptake of gallium-67 and the disease activity in interstitial nephritis.

METHODS: We retrospectively analyzed the data of patients who underwent gallium-67 scintigraphy at a hospital in Tokyo. The renal uptake adjusted for the soft tissues beneath the kidneys was semi-quantitatively evaluated. We compared the renal uptake levels between patients clinically diagnosed with and without interstitial nephritis. Among those undergoing renal biopsy, we evaluated the predictive ability of gallium-67 scintigraphy and analyzed the renal uptake levels regarding the disease activity through a histopathological analysis.

RESULTS: We included 143 patients; among them, 30, 17, and 96 patients were clinically diagnosed with interstitial nephritis, other kidney diseases, and non-kidney diseases, respectively. The renal uptake of gallium-67 was the highest among patients with interstitial nephritis. Among the 25 patients who underwent renal biopsy, 15 were pathologically diagnosed with interstitial nephritis. The renal uptake levels showed a high discriminative ability (C-statistic: 0.83). Furthermore, net reclassification improvement with the addition of gallium-67 scintigraphy to N-acetyl-β-D-glucosaminidase for the prediction of interstitial nephritis was 1.14. Histopathological analysis revealed a positive correlation between renal uptake and inflammation in the cortex and peritubular capillaries.

CONCLUSIONS: This study confirmed the diagnostic value and potential usefulness of gallium-67 scintigraphy for evaluating interstitial nephritis.

PMID:36574102 | DOI:10.1007/s10157-022-02302-0

Brief Bioinform. 2022 Dec 27:bbac604. doi: 10.1093/bib/bbac604. Online ahead of print.

ABSTRACT

Viral infection involves a large number of protein-protein interactions (PPIs) between the virus and the host, and the identification of these PPIs plays an important role in revealing viral infection and pathogenesis. Existing computational models focus on predicting whether human proteins and viral proteins interact, and rarely take into account the types of diseases associated with these interactions. Although there are computational models based on a matrix and tensor decomposition for predicting multi-type biological interaction relationships, these methods cannot effectively model high-order nonlinear relationships of biological entities and are not suitable for integrating multiple features. To this end, we propose a novel computational framework, LTDSSL, to determine human-virus PPIs under different disease types. LTDSSL utilizes logistic functions to model nonlinear associations, sets importance levels to emphasize the importance of observed interactions and utilizes sparse subspace learning of multiple features to improve model performance. Experimental results show that LTDSSL has better predictive performance for both new disease types and new triples than the state-of-the-art methods. In addition, the case study further demonstrates that LTDSSL can effectively predict human-viral PPIs under various disease types.

PMID:36573486 | DOI:10.1093/bib/bbac604

J Orthod. 2022 Dec 27:14653125221145948. doi: 10.1177/14653125221145948. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess the surface roughness of in-house 3D-printed orthodontic aligners compared to Invisalign^® appliances, both retrieved as well as in the ‘as-received’ control status.

DESIGN: An in vitro study following intra-oral material aging.

SETTING AND PARTICIPANTS: Twelve clinically used Invisalign^® appliances and the same number of 3D-printed aligners were obtained from a respective number of patients, without involvement of attachments. A similar number of ‘as-received’ aligners of each material were used as control (CON) groups.

METHOD: Four groups of materials were examined: A = Invisalign^® CON; B = Invisalign^® used; C = 3D-printed CON; and D = 3D-printed used. Optical profilometry was employed to examine the following surface roughness parameters: amplitude parameters Sa, Sq and Sz and functional parameters Sc and Sv. Descriptive statistics and quantile regression modeling were conducted, and the level of statistical significance was set at α = 0.05.

RESULTS: Intra-oral exposure of 3D-printed aligners was significantly associated with increase in all tested parameters (P < 0.001 at all occasions). Significant differences were detected in the retrieved 3D-printed aligners compared to Invisalign^® retrieved, with the exception of Sz. The respective effect sizes (median differences) were as follows: Sa: 169 nm, 95% confidence interval [CI] = 89-248, P < 0.001; Sq: 315 nm, 95% CI = 152-477, P < 0.001; Sc: 233 nm³/nm², 95% CI = 131-335, P < 0.001; and Sv: 43 nm³/nm², 95% CI = 17-68, P = 0.002.

CONCLUSION: Within the limitations of this report, we concluded that surface roughness differences existed between 3D-printed aligners and Invisalign^® in the retrieved status, as well as between the control and retrieved 3D-printed groups.

PMID:36573484 | DOI:10.1177/14653125221145948

J Orthop Res. 2022 Dec 27. doi: 10.1002/jor.25506. Online ahead of print.

ABSTRACT

Since eccentric contractions contribute to the development of tendinopathy, sex differences in wrist torque and endurance may be involved in the pathophysiology of lateral epicondylitis and its refractoriness. Therefore, the present study investigated sex differences in wrist torque and endurance. The wrist extension and flexion torques of the 100 wrists of 25 males and 25 females were measured. The following parameters were assessed: muscle strength at the starting- and end point for the measurement, Δ muscle strength, i.e., amount of a loss over time, and the muscle endurance ratio, i.e., decrease rate over time. Each parameter in males and females was statistically analyzed. In wrist extension, muscle strength at the starting point was 6.1 Nm for males and 3.3 Nm for females (p <0.001); Δ Muscle strength was -0.052 Nm/sec for males and -0.038 Nm/sec for females (p=0.036); The muscle endurance ratio was 99.1 %/sec for males and 98.8 %/sec for females (p=0.015). In wrist flexion, muscle strength at the starting point and absolute value of Δ muscle strength were significantly larger in males than in females; No significant difference was observed in the muscle endurance ratio in wrist flexion between males and females. These results revealed sex differences in wrist torque and endurance. The muscle endurance ratio of the wrist extensors was lower in females than in males, which suggests that females need to exert more effort to maintain the wrist extension position under resistance. This may predispose the wrist extensor muscles in females to eccentric contractions. This article is protected by copyright. All rights reserved.

PMID:36573481 | DOI:10.1002/jor.25506

J Cosmet Dermatol. 2022 Dec 27. doi: 10.1111/jocd.15563. Online ahead of print.

ABSTRACT

BACKGROUND: Previous clinical and anatomic investigations have identified the clinical relevance of facial biomechanics. Based on this new understanding, principles for facial aesthetic procedures were established: Lateral Face First, Deep Layers First, and Upper Face First.

OBJECTIVE: To test the upper face first principle by showing that an injection sequence, starting in the upper face is superior to an injection sequence starting in the lower face.

METHODS: This study was designed as an interventional split-face study administering the same amount and type of soft tissue filler for the upper, middle, and lower face but in a different sequence: upper, middle, lower face versus lower, middle, and upper face. A total of 15 patients (5 males and 10 females) with a mean age of 39.4 years (9.6) and a mean BMI of 23.4 kg/m² (1.7) were studied. Follow-up at D0, D30, and D90 was conducted utilizing semiquantitative scores and objective 3D imaging.

RESULTS: Despite not reaching statistical significance, midfacial volume and jawline contouring were rated better at every follow-up visit (D0, D30, D90) when treated with the upper versus the lower face first injection algorithm. The global aesthetic improvement scale showed statistically significantly better values for the upper face first algorithm when compared to the lower face first algorithm at all evaluated time points with all p < 0.001.

CONCLUSION: Applying the upper face first injection algorithm seems to result in better aesthetic outcomes when directly compared to the lower face first algorithm. Semiquantitative and objective outcome measurements confirm its clinical effectiveness.

PMID:36573471 | DOI:10.1111/jocd.15563

Geriatr Gerontol Int. 2022 Dec 27. doi: 10.1111/ggi.14520. Online ahead of print.

ABSTRACT

BACKGROUND: The benefits of physical activity are well-documented, and the prevalence of physical inactivity is high in older patients with chronic diseases. This study aimed to investigate the impact of an aerobic exercise intervention based on the capacity, opportunity, motivation-behavior (COM-B) model on physical activity and health-related outcomes in this population.

METHODS: Thirty-five participants were randomly assigned to the intervention group (IG) for an exercise intervention based on the COM-B model, and 33 were assigned to the control group (CG) for usual care. Physical activity levels, daily steps and bone mineral density T-value, body mass index, waist-hip ratio, subendocardial myocardial viability rate, central arterial pressure, growth index, brachial-ankle pulse wave velocity, ankle-arm index were measured at baseline, during the 12-week intervention, and after the 12-week follow-up.

RESULTS: Compared with the CG and pre-intervention, total physical activity in the IG increased significantly (P < 0.05); however, after the 12-week follow-up, total physical activity decreased. At the same time, the average daily steps of the elderly in both groups increased. Compared with the CG, at the 12-week follow-up, the bone mineral density T-value in the IG was significantly improved (P < 0.05). Compared with the pre-intervention values, during the 12-week intervention, bone mineral density T-value, body mass index, waist-hip ratio, subendocardial myocardial viability rate and central arterial pressure were significantly improved (P < 0.05); after the 12-week follow-up, brachial-ankle pulse wave velocity and ankle-arm index were significantly improved (P < 0.05). No statistically significant changes in the growth index were detected, independent of the group and time.

CONCLUSION: Theory-based exercise interventions can change the physical inactivity behavior of older people with chronic diseases, effectively promoting physical activity and improves bone mineral density T-value, controls body weight, and reduces cardiovascular risk and physiological indicators related to atherosclerosis. Geriatr Gerontol Int 2022; ••: ••-••.

PMID:36573456 | DOI:10.1111/ggi.14520