Tag: nevin manimala

Microsc Res Tech. 2023 Nov 3. doi: 10.1002/jemt.24451. Online ahead of print.

ABSTRACT

Most of the food consumed worldwide is produced by plants. Plant disease is a major cause of reduced production, but can be managed with regular monitoring. Manually observing plant diseases takes more time and is error-prone. Early detection of plant diseases with the aid of artificial intelligence and computer vision can decrease the effects of disease and help plants withstand the downsides of continuing surveillance. In this manuscript, plant disease identification using contextual mask auto-encoder optimized with dynamic differential annealed optimization algorithm (PDI-CMAE-DDAOA) is proposed. The plant village dataset is used to collect the images. Then the image is fed to preprocessing. Using an adaptive self-guided filter approach, the noise is removed from the input images during the pre-processing phase. The result of the pre-processing section serves as input for the feature extraction segment. Four statistical features, including mean, variance, entropy, and kurtosis, are recovered from the cosine similarity hidden Markov model (CSHMM). The contextual mask auto-encoder (CMAE) is given the extracted features to accurately classify the healthy and unhealthy regions of the plant image. The issue of slow convergence affects the CMAE. However, it is noted that the CMAE converges more quickly with deep learning features than with texture features in this instance. The CMAE classifier generally does not exhibit any adaptation of optimization algorithms for determining the best parameters to ensure the precise classification of plant disease. Therefore, dynamic differential annealed optimization algorithm (DDAOA) is considered to enhance the CMAE classifier, which accurately distinguishes between healthy and diseased plants. The proposed PDI-CMAE-DDAOA is done in Python. The efficacy of PDI-CMAE-DDAOA is evaluated under some performance metrics, like accuracy, precision, sensitivity, F1-score, specificity, error rate, receiver operating characteristic curve (ROC), computational time. The proposed method provides higher accuracy 23.34%, 34.33%, and 32.07%; higher sensitivity 36.67%, 36.33%, and 23.21%; higher F1-score 46.67%, 57.56%, and 43.21%; higher specificity 56.67%, 67.56%, and 23.21% analyzed with existing models, like transfer learning-based deep ensemble neural network for plant leaf infection recognition (PDI-DENN), plant disease detection with hybrid model based on convolutional auto-encoder and convolutional neural network (PDI-CAE-CNN), and automatic and reliable leaf disease finding depending on deep learning methods (PDI-EN-CNN), respectively. RESEARCH HIGHLIGHTS: To find the plant disease at early stage. To present PDI-CMAE-DDAOA. To get better classification accuracy by extracting the optimal features with the help of efficient CSHMM. To minimize the error during classification process. To maximize high area under curve value.

PMID:37921010 | DOI:10.1002/jemt.24451

Trauma Violence Abuse. 2023 Nov 3:15248380231205821. doi: 10.1177/15248380231205821. Online ahead of print.

ABSTRACT

As opioid use-related behaviors continue at epidemic proportions, identifying the root causes of these behaviors is critical. Adverse childhood experiences (ACEs) are shown to be an important predictor of opioid initiation, opioid dependence, and lifetime opioid overdose. The purpose of this systematic review is to examine the association between ACEs and opioid use-related behaviors later in life and to discuss implications for policy, practice, and research regarding ACEs and opioids. Five databases (PubMed, PsycINFO, CINAHL, Medline, and Scopus) were used to identify studies investigating the association between ACEs and opioid use-related behaviors. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 20 studies out of the initial 428 met the inclusion criteria for this review. Among the included 20 studies, 15 focused on the relationship between ACEs and lifetime opioid use-related behaviors, and five focused on current opioid use-related behaviors. All studies found statistical associations between ACEs and lifetime or current opioid use-related behaviors. Five studies found a significant gradient effect; that is, as the number of ACEs increased, the risk of opioid use-related behaviors also increased. A significant dose-response relationship exists between ACEs and opioid use-related behaviors. Hence, it is essential for clinicians to screen for ACEs before prescribing opioid medications, for opioid treatment to incorporate trauma-informed methods, and for messaging around opioid use interventions to include information about ACEs. The current review points to a critical need to implement standardized ACE screening instruments in clinical and research settings.

PMID:37920999 | DOI:10.1177/15248380231205821

Stat Methods Med Res. 2023 Nov 3:9622802231211010. doi: 10.1177/09622802231211010. Online ahead of print.

ABSTRACT

Antimicrobial resistance is becoming a major threat to public health throughout the world. Researchers are attempting to contrast it by developing both new antibiotics and patient-specific treatments. In the second case, whole-genome sequencing has had a huge impact in two ways: first, it is becoming cheaper and faster to perform whole-genome sequencing, and this makes it competitive with respect to standard phenotypic tests; second, it is possible to statistically associate the phenotypic patterns of resistance to specific mutations in the genome. Therefore, it is now possible to develop catalogues of genomic variants associated with resistance to specific antibiotics, in order to improve prediction of resistance and suggest treatments. It is essential to have robust methods for identifying mutations associated to resistance and continuously updating the available catalogues. This work proposes a general method to study minimal inhibitory concentration distributions and to identify clusters of strains showing different levels of resistance to antimicrobials. Once the clusters are identified and strains allocated to each of them, it is possible to perform regression method to identify with high statistical power the mutations associated with resistance. The method is applied to a new 96-well microtiter plate used for testing Mycobacterium tuberculosis.

PMID:37920984 | DOI:10.1177/09622802231211010

J Osteopath Med. 2023 Nov 3. doi: 10.1515/jom-2022-0165. Online ahead of print.

ABSTRACT

CONTEXT: Osteopathic medical schools have traditionally placed a heavy emphasis on the field of primary care. While graduating osteopathic students continue to pursue family medicine, internal medicine, and pediatrics at higher rates than their allopathic counterparts, it is unknown whether students feel that surgical rotations are held to similar standards.

OBJECTIVES: The purpose of this study was to assess osteopathic medical student opinions of the quality of their surgical clerkships and to determine if good or poor experiences influenced their decision to continue pursuing surgery.

METHODS: After Institutional Review Board approval, a voluntary and anonymous Qualtrics survey was sent to all nationally registered members of the American College of Osteopathic Surgeons, Medical Student Section (ACOS-MSS) in their final 2 years of medical school. Analyses were conducted utilizing R statistical software.

RESULTS: A total of 345 responses were recorded from the Qualtrics survey sent to 2182 ACOS students from the national registry (response rate of 15.8 %). Students who found a mentor during their surgical rotations were more likely to consider a surgical career after they completed their rotations (odds ratio [OR]=1.43, p=0.003). Students at academic sites had more opportunities for research than those at community hospitals (p=0.019). Most students responded that they were still considering surgery as a career after rotation completion; a significant portion (OR=0.36, p<0.001) responded that they were no longer interested.

CONCLUSIONS: Medical students are most likely to review a surgical rotation favorably if they can connect with a mentor while on rotation. Osteopathic medical schools may benefit from instituting mentorship programs for students interested in surgery, as well as ensuring that their students have ample opportunity for research.

PMID:37920968 | DOI:10.1515/jom-2022-0165

Epilepsia Open. 2023 Nov 3. doi: 10.1002/epi4.12859. Online ahead of print.

ABSTRACT

OBJECTIVE: Thinning of the peripapillary retinal nerve fiber layer (p-RNFL), as measured by optical coherence tomography (OCT), was recently introduced as a promising marker for cerebral neuronal loss in people with epilepsy (PwE). However, its clinical implication remains to be elucidated. We thus aimed to (1) systematically characterize the extent of the retinal neuroaxonal loss in a broad spectrum of unselected PwE and (2) to evaluate the main clinical determinants.

METHODS: In this prospective study, a spectral-domain OCT evaluation was performed on 98 well-characterized PwE and 85 healthy controls (18-55 years of age). All inner retinal layers and the total macula volume were assessed. Group comparisons and linear regression analyses with stepwise backwards selection were performed to identify relevant clinical and demographic modulators of the retinal neuroaxonal integrity.

RESULTS: PwE (age: 33.7±10.6 years; 58.2% female) revealed a significant neuroaxonal loss across all assessed retinal layers (global pRNFL, p=0.001, Δ=4.24μm; macular RNFL, p<0.001, Δ=0.05mm³ ; ganglion cell inner plexiform layer, GCIP, p<0.001, Δ=0.11mm³ ; inner nuclear layer, INL, p=0.03, Δ=0.02mm³ ) as well as significantly reduced total macula volumes (TMV, p<0.001, Δ=0.18mm³ ) compared to healthy controls (age: 31.2±9.0 years; 57.6% female). The extent of retinal neuroaxonal loss was associated with the occurrence and frequency of tonic-clonic seizures and the number of anti-seizure medications, and was most pronounced in male patients.

SIGNIFICANCE: PwE presented an extensive retinal neuroaxonal loss, affecting not only the peripapillary but also macular structures. The non-invasive and economic measurement via OCT bears the potential to establish as a practical tool to inform patient management, as the extent of the retinal neuroaxonal loss reflects aspects of disease severity and sex-specific vulnerability.

PMID:37920967 | DOI:10.1002/epi4.12859

Lakartidningen. 2023 Nov 3;120:23068.

ABSTRACT

Statistics from the Swedish Social Insurance Agency show a sharp increase in the number of sick leave cases with the diagnoses Concussion, S06.0, and Postconcussional syndrome, F07.2, between the years 2010 and 2022. The reason for the increase has not been established and needs further investigation. One possible reason is that the acute phase treatment recommendations of individuals with mild traumatic brain injury have changed during the relevant time period. Future guidelines must ensure that treatment and management recommendations are based on controlled studies of an adequate population and that treatment outcomes are continuously evaluated.

PMID:37920952

Neuroradiol J. 2023 Nov 3:19714009231212368. doi: 10.1177/19714009231212368. Online ahead of print.

ABSTRACT

BACKGROUND: Percutaneous cement discoplasty (PCD) is a minimally invasive procedure. We aim to explore the efficacy and indication(s) of PCD in patients with degenerative disc disease (DDD).

METHODS: The search was conducted across Ovid MEDLINE, Ovid Embase, and PubMed. Data on study design, patient demographics, pre- and post-procedure Visual Analog Scale (VAS) and Oswestry Disability Index (ODI) scores, and complications were extracted. Inclusion criteria focused on adult patients with degenerative spinal diseases treated with cement discoplasty. The overall effect size was evaluated using a forest plot, and heterogeneity was assessed using the I² statistic and chi-squared test.

RESULTS: The search strategy yielded six studies, which included 336 patients (73.8% female, 26.2% male) with a mean average age of 74.6 years. VAS scores were reported in all studies, showing a significant difference between pre- and post-PCD pain scores (Weighted Mean Difference [WMD]: -3.45; 95% CI: -3.83, -3.08; I² = 15%; P < .001). ODI scores were reported in 83% of studies, with a significant difference between pre- and post-PCD scores (WMD: -22.22; 95% CI: -25.54, -18.89; I² = 61%; p < .001). Complications reported included infections, thrombophlebitis, vertebral fractures, disc extrusion, and the need for further operations.

CONCLUSIONS: The analysis showed clinically significant improvements in pain and functional disability based on VAS and ODI scores. However, due to methodological limitations and a high risk of bias, the validity and generalizability of the findings are uncertain. Despite these issues, the results provide preliminary insights into PCD’s potential efficacy and can guide future research to address current limitations.

PMID:37920948 | DOI:10.1177/19714009231212368

Trop Doct. 2023 Nov 3:494755231210724. doi: 10.1177/00494755231210724. Online ahead of print.

ABSTRACT

Existing literature on factors triggering leprosy reactions is based only on case reports and case series, and thus probably gives a biased view. We undertook a case-control study to investigate such purported trigger factors in 42 leprosy reaction patients and 40 non-reactional controls, and the cost of investigations required for the same. Detailed history, clinical evaluation and investigations for triggers were carried out. Infections (typhoid, dental caries) were the most common triggers found, followed by pregnancy. Trigger factors were commoner in the type 2 reaction (T2R) group compared to type 1 (T1R) reaction group. There was however no statistical difference between the two groups. The average estimated cost of investigations was higher in the reactional group and this difference was statistically significant. Hence, except for essential investigations required for initiating steroids, an extensive battery of investigations is unjustified unless the medical history suggests a definitive infective trigger.

PMID:37920941 | DOI:10.1177/00494755231210724

Osong Public Health Res Perspect. 2023 Oct;14(5):388-417. doi: 10.24171/j.phrp.2023.0033. Epub 2023 Sep 19.

ABSTRACT

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) present with a variety of oral manifestations. Therefore, we conducted a systematic review to estimate the prevalence of oral lesions among COVID-19 patients.

METHODS: An extensive literature search of several electronic bibliographic databases (PubMed, Scopus, Science Direct, Litcovid) was conducted to retrieve all articles published in the English language from January 1, 2020 to March 31, 2023 that reported the prevalence of oral manifestations among COVID-19 patients. A meta-analysis of pooled prevalence was performed using Jamovi ver. 2.3 (2022). The I2 and Q statistics were used to assess heterogeneity between studies, and p-values <0.01 were considered statistically significant.

RESULTS: In total, 79 studies with data from 13,252 patients were included. The articles were predominantly published in 2020 (n=33), and Italy was the most common country (n=14). Most of the affected patients more than 50 years old and women (56.6%). The most common sites of involvement were the tongue (n=65), followed by the oral mucosa (n=37) and lips (n=19). High heterogeneity was found between studies. The most common oral manifestation was taste alteration, followed by xerostomia and ulceration, showing pooled prevalence rates of 48%, 35%, and 21%, respectively.

CONCLUSION: COVID-19 patients show various oral manifestations that may help clinicians identify the disease promptly. Recognition of the signs and symptoms of COVID-19 is critical for an early diagnosis and better prognosis.

PMID:37920896 | DOI:10.24171/j.phrp.2023.0033

Diabetes Obes Metab. 2023 Nov 3. doi: 10.1111/dom.15326. Online ahead of print.

ABSTRACT

AIM: To investigate the sex-specific causality of body compositions in type 2 diabetes and related glycaemic traits using Mendelian randomization (MR).

MATERIALS AND METHODS: We leveraged sex-specific summary-level statistics from genome-wide association studies for three adipose deposits adjusted for body mass index and height, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VATadj) and gluteofemoral adipose tissue (GFATadj), measured by MRI (20 038 women; 19 038 men), and fat mass-adjusted appendicular lean mass (ALMadj) (244 730 women; 205 513 men) in the UK Biobank. Sex-specific statistics of type 2 diabetes were from the Diabetes Genetics Replication and Meta-analysis Consortium and those for fasting glucose and insulin were from the Meta-analyses of Glucose and Insulin-related Traits Consortium. Univariable and multivariable MR (MVMR) were performed. We also performed MR analyses of anthropometric traits and genetic association analyses using individual-level data of body composition as validation.

RESULTS: Univariable MR analysis showed that, in women, higher GFATadj and ALMadj exerted a causally protective effect on type 2 diabetes (GFATadj: odds ratio [OR] 0.59, 95% confidence interval [CI; 0.50, 0.69]; ALMadj: OR 0.84, 95% CI [0.77, 0.91]) and VATadj to be riskier in glycaemic traits. MVMR showed that GFATadj retained a robust effect on type 2 diabetes (OR 0.57, 95% CI [0.42, 0.77]; P = 2.6 × 10^-4 ) in women, while it was nominally significant in men (OR 0.58, 95% CI [0.35, 0.96]; P = 3.3 × 10^-2 ), after adjustment for ASATadj and VATadj. MR analyses of anthropometric measures and genetic association analyses of glycaemic traits confirmed the results.

CONCLUSIONS: Body composition has a sex-specific effect on type 2 diabetes, and higher GFATadj has an independent protective effect on type 2 diabetes in both sexes.

PMID:37920887 | DOI:10.1111/dom.15326