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Soil salinization, especially in arid and semi-arid regions, is one of the major abiotic stresses that affect plant growth. To mediate and boost plant tolerance against this abiotic stress, arbuscular mycorrhizal fungi (AMF) symbiosis is commonly thought to be an effective tool. So, the main purpose of this study was to estimate the role of AMF (applied as a consortium of Claroideoglomus etunicatum, Funneliformis mosseae, Rhizophagus fasciculatum, and R. intraradices species) symbiosis in mitigating deleterious salt stress effects on the growth parameters (shoot length (SL), root length (RL), shoot dry weight (SDW), root dry weight (RDW), root surface area (RSA), total root length (TRL), root volume (RV), root diameter (RD), number of nodes and leaves) of Cenchrus ciliaris L. plants through improved accumulations of photosynthetic pigments (chlorophyll a, chlorophyll b, total chlorophyll), proline and phenolic compounds. The results of this experiment revealed that the roots of C. ciliaris plants were colonized by AMF under all the applied salinity levels (0, 75, 150, 225, and 300 mM NaCl). However, the rate of colonization was negatively affected by increasing salinity as depicted by the varied colonization structures (mycelium, vesicles, arbuscules and spores) which were highest under non-saline conditions. This association of AMF induced an increase in the growth parameters of the plant which were reduced by salinity stress. The improved shoot/root indices are likely due to enhanced photosynthetic activities as the AMF-treated plants showed increased accumulation of pigments (chlorophyll a, chlorophyll b and total chlorophyll), under saline as well as non-saline conditions, compared to non-AMF (N-AMF) plants. Furthermore, the AMF-treated plants also exhibited enhanced accumulation of proline and phenolic compounds. These accumulated metabolites act as protective measures under salinity stress, hence explaining the improved photosynthetic and growth parameters of the plants. These results suggest that AMF could be a good tool for the restoration of salt-affected habitats. However, more research is needed to check the true efficacy of different AMF inoculants under field conditions.
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Objective: This comprehensive review aims to explain the disease pathophysiology, clinical presentation, and management options. Methods: A review was carried out in the following databases: Medline, Scopus, Web of Science, and Cochrane. The following terms were used alone and combined: Retrograde, Cricopharyngeus muscle, Dysfunction, Abelchia, and inability to burp. Results: A total of 68 articles were identified, and only 11 were found to be relevant and included in writing this review. Retrograde cricopharyngeal dysfunction (R-CPD) is a relatively new disease entity that has recently been described in clinical literature. It is caused by the inability of the cricopharyngeus muscle to relax. Unlike cricopharyngeal dysfunction (CPD), which is well-known and characterized by dysphagia, R-CPD is characterized by the inability to belch in almost all patients, which is considered diagnostic for the condition. Conclusions: High-resolution manometry (HRM) is the definitive diagnostic modality. Most patients reported in the literature responded well to treatment with botulinum toxin injection.
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Systemic plant protection products, such as neonicotinoids (NIs), are capable of being translocated throughout a plant. Although NIs are less toxic to mammals, fish, and birds, their impact on microbial and non-target insects is of concern. This study investigates the uptake, translocation, and accumulation of the NI, imidacloprid (IMI), in romaine lettuce (Lactuca sativa L. var. longipolia). Exposing 15-day-old seedlings to "10 mg/L" of IMI, the effects on microbial communities in both cultivated (CS) and non-cultivated soil (NCS) were studied along with IMI translocation within plant tissues. The concentrations of IMI in soil varied temporally and between soil types after initial application, with a decrease from 2.0 and 7.7 mg/kg on the first day of sampling to 0.5 and 2.6 mg/kg on the final sampling day (day 35) for CS and NCS, respectively. The half-life of IMI soil was 10.7 and 72.5 days in CS and NCS, respectively, indicating that IMI degraded more quickly in CS, possibly due to smaller grain size, aeration, microbial degradation, and water flow. The accumulated concentrations of IMI in lettuce tissues ranged from 12.4 ± 0.2 and 18.7± 0.9 mg/kg in CS and NCS, respectively. The highest concentration of IMI was found in the shoots, followed by the roots, whereas the soil showed the lowest IMI residuals at the end of the trial. Soil bacteria and fungi were altered by the application of IMI, with a lower abundance index within the bacterial community, indicating a negative impact on the distribution of bacteria in the soil.
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Aim: The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS). Materials and Methods: The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier's Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article. Results: The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000. Conclusions: Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs.
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Currently, the control of rhizosphere selection on farms has been applied to achieve enhancements in phenotype, extending from improvements in single root characteristics to the dynamic nature of entire crop systems. Several specific signals, regulatory elements, and mechanisms that regulate the initiation, morphogenesis, and growth of new lateral or adventitious root species have been identified, but much more work remains. Today, phenotyping technology drives the development of root traits. Available models for simulation can support all phenotyping decisions (root trait improvement). The detection and use of markers for quantitative trait loci (QTLs) are effective for enhancing selection efficiency and increasing reproductive genetic gains. Furthermore, QTLs may help wheat breeders select the appropriate roots for efficient nutrient acquisition. Single-nucleotide polymorphisms (SNPs) or alignment of sequences can only be helpful when they are associated with phenotypic variation for root development and elongation. Here, we focus on major root development processes and detail important new insights recently generated regarding the wheat genome. The first part of this review paper discusses the root morphology, apical meristem, transcriptional control, auxin distribution, phenotyping of the root system, and simulation models. In the second part, the molecular genetics of the wheat root system, SNPs, TFs, and QTLs related to root development as well as genome editing (GE) techniques for the improvement of root traits in wheat are discussed. Finally, we address the effect of omics strategies on root biomass production and summarize existing knowledge of the main molecular mechanisms involved in wheat root development and elongation.
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Endometriosis is a gynecological disorder associated with local inflammation and neuroproliferation. Increased nerve bundle density has been attributed to increased expression of nerve growth factor (NGF) and interleukin-1ß (IL-1ß). Immunohistochemical analysis was carried out on 12 patients presenting with all three anatomic subtypes of endometriosis (deep, superficial peritoneal, endometrioma) at surgery, with at least two surgically excised subtypes available for analysis. Immunolocalization for nerve bundle density around endometriosis using protein gene product 9.5 (PGP9.5), as well as NGF and IL-1ß histoscores in endometriosis epithelium/stroma, was performed to evaluate differences in scores between lesions and anatomic subtypes per patient. Intra-individual heterogeneity in scores across lesions was assessed using the coefficient of variation (CV). The degree of score variability between subtypes was evaluated using the percentage difference between mean scores from one subtype to another subtype for each marker. PGP9.5 nerve bundle density was heterogenous across multiple subtypes of endometriosis, ranging from 50.0% to 173.2%, where most patients (8/12) showed CV ≥ 100%. The percentage difference in scores showed that PGP9.5 nerve bundle density and NGF and IL-1ß expression were heterogenous between anatomic subtypes within the same patient. Based on these observations of intra-individual heterogeneity, we conclude that markers of neuroproliferation in endometriosis should be stratified by anatomic subtype in future studies of clinical correlation.
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Endometriose , Interleucina-1beta , Fator de Crescimento Neural , Adulto , Feminino , Humanos , Pessoa de Meia-Idade , Endometriose/metabolismo , Endometriose/patologia , Interleucina-1beta/metabolismo , Fator de Crescimento Neural/metabolismo , Ubiquitina Tiolesterase/metabolismo , Neurônios/metabolismo , Neurônios/patologiaRESUMO
BACKGROUND AND AIMS: Gastrointestinal bleeding is a major healthcare burden and is associated with significant morbidity and mortality. This study aimed to assess the prevalence, clinical presentation, and risk factors of patients presenting with gastrointestinal bleeding in the emergency department. MATERIALS AND METHODS: This retrospective study was conducted in two tertiary care hospitals in Riyadh, Saudi Arabia. The medical records of patients who presented to the emergency department with gastrointestinal bleeding between January 2010 and January 2020 were reviewed. Patients aged 18 years or older, with gastrointestinal bleeding (upper or lower) regardless of underlying cause, lifestyle, location of bleeding, health status, or medication use, were included. Demographic characteristics, initial vital signs, medical history, physical examination findings, comorbidities, medications, laboratory and radiological investigations, cause and stage of liver disease, management, and complications were recorded. Endoscopic findings and management of the bleeding site were collected according to the presenting symptoms. RESULTS: A total of 760 patients were included. The mean age was 62.7 ± 17.8 years, and 61.4% were males. The most common comorbidities at presentation were hypertension (54.1%), diabetes mellitus (51.2%), and ischemic heart disease (18.2%). The origins of the bleeding were lower gastrointestinal in 52% and upper gastrointestinal in 48% of patients. CONCLUSIONS: Lower gastrointestinal bleeding was found to be more common than upper gastrointestinal bleeding. Hemorrhoids, polyps, diverticular disease, and colonic ulcers were the major risk factors for lower gastrointestinal bleeding. In contrast, upper gastrointestinal bleeding was predominantly caused by esophageal varices, gastritis, and peptic ulcers.
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Background: Hospital-acquired infections constitute a significant source of morbidity and mortality for both patients and healthcare professionals. Nursing professionals constitute an integral component of any quality-related program in a hospital, given their oversight and provision of nearly all healthcare services. Nurses' knowledge and attitudes play a significant role in healthcare delivery. Within Saudi Arabia, the prevalence of hospital-acquired infections in hospital settings has prompted a growing emphasis on evaluating nursing knowledge and adherence to practice standards aimed at hospital-acquired infection prevention. Methods: This single-center cross-sectional study was conducted at the emergency department of King Faisal Medical Complex, Taif, between October and December 2022, involving 168 nurses. The study utilized a pre-validated structured online questionnaire comprising three sections: demographics, knowledge assessment, and practice evaluation. Knowledge and practice levels were categorized as good, moderate, and poor using quartiles. Results: The study encompassed 168 nurses employed in the emergency department of the hospital, revealing their proficiency in standard practices for preventing hospital-acquired infections. Notably, 63.8% of participants demonstrated a commendable "Good" level of knowledge, while 10.6% exhibited a "Moderate" level and 25.5% manifested a "Poor" level in terms of knowledge. Similarly, concerning practice levels, 56.4% showcased a commendable "Good" practice level, 22.3% maintained a "Moderate" practice level, and 21.3% presented a "Poor" practice level. Chi-square analysis unveiled a significant association between age and knowledge levels (p = 0.000). In addition, age (p = 0.000) and years of clinical experience (p = 0.000) were significantly linked to nurses' practice levels The nurses aged 40-50 years (82%) and those with 10-15 years of clinical experience (83.3%) showed good levels of knowledge and practice, respectively. Overall, most of the nurses demonstrated effective knowledge and compliance with infection prevention practices. Conclusion: Sociodemographic factors such as age and clinical experience exert a notable impact on nurses' knowledge and practices regarding hospital-acquired infections.
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BACKGROUND: Dental health and treatment are impacted by cardiovascular disease trends, complications, and related treatments. Every dentist should be prepared to handle the most serious cardiovascular emergencies and should expect to encounter them. Colleges have liability toward students to receive sufficient instructions so that they are prepared and self-assured to handle potentially life-threatening circumstances. The aim of this study is to assess the knowledge, attitude, and practice (KAP) among dental students in the Kingdom of Saudi Arabia. MATERIALS AND METHODS: A cross-sectional study was conducted from January to June 2023 on undergraduates, interns, and postgraduate students studying at the dental school. A pre-validated questionnaire with 22 close-end questions consisting of demographic data and KAP items related to cardiovascular medical emergencies was circulated through Google form links. Statistical analysis was conducted using the chi-square test and multinomial regression. RESULTS: Of the 252 participants, the students overall showed moderate to poor responses among the KAP items related to cardiac emergencies. Most of the students (85%) showed positive attitude toward basic life support (BLS) and 78% on automated external defibrillation (AED). The majority of students showed unsafe practice (86.1%) that is they have not faced a cardiac emergency in the dental clinic, while 63.1% don't update their emergency skills. Postgraduate students compared to other groups showed superior responses in all three domains of KAP with statistical significance (p<0.000). The undergraduates showed moderate levels of knowledge and attitude response, but unsafe responses to practice items were observed. CONCLUSION: This study depicts that dental students who will eventually become dental practitioners have a critical need for training in managing cardiovascular medical emergencies.
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The bacterial strain WB46 was isolated from the rhizosphere of willow plants (Salix purpurea L.) growing in soil contaminated with petroleum hydrocarbons. The strain was subjected to whole-genome shotgun sequencing using Illumina HiSeq. Its draft genome is 7.15 Mb, with a 69.55% GC content, containing 6387 protein-coding genes and 51 tRNA and 15 rRNA sequences. The quality and reliability of the genome were assessed using CheckM, attaining an estimated genome completeness of 98.75% and an estimated contamination of 1.68%. These results indicate a high-quality genome (>95%) and low contamination (<5%). Many of these genes are responsible for petroleum hydrocarbon degradation, such as alkane 1-monooxygenase (alkB) and naphthalene dioxygenase (ndo). 16S rRNA gene analysis, including in silico DNA-DNA hybridization (DDH) and average nucleotide identity (ANI), showed that strain WB46 belongs to the genus Nocardia, and the most closely related species is Nocardia asteroides. The strain WB46 showed a distance of 63.4% and sequence identity of 88.63%, respectively. These values fall below the threshold levels of 70% and 95%, respectively, suggesting that the strain WB46 is a new species. We propose the name of Nocardia canadensis sp. nov. for this new species. Interestingly, the sequence divergence of the 16S rRNA gene showed that the divergence only occurred in the V2 region. Therefore, the conventional V3-V4, V5-V7, or V8-V9 targeting metabarcoding, among others, would not be able to assess the diversity related to this new species.
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Introduction: We propose a standardized protocol for measurement of nerve bundle density in endometriosis as a potential biomarker, including in deep endometriosis (DE), ovarian endometriomas (OMA) and superficial peritoneal endometriosis (SUP). Methods: This was a prospective cohort of surgically excised endometriosis samples from Dec 1st 2013 and Dec 31st 2017 at a tertiary referral center for endometriosis in Vancouver, BC, Canada. Surgical data were available from linked patient registry. Protein gene product 9.5 (PGP9.5) was used to identify nerve bundles on immunohistochemistry. PGP9.5 nerve bundles were counted visually. To calculate nerve bundle density, PGP9.5 nerve bundle count was divided by the tissue surface area (total on the slide). All samples were assessed using NHS Elements software for semi-automated measurement of the tissue surface area. For a subset of samples, high power fields (HPFs) were also counted as manual measurement of the tissue surface area. Intraclass correlation was used to assess intra observer and inter observer reliability. Generalized linear mixed model (GLMM) with random intercepts only was conducted to assess differences in PGP9.5 nerve bundle density by endometriosis type (DE, OMA, SUP). Results: In total, 236 tissue samples out of 121 participants were available for analysis in the current study. Semi-automated surface area measurement could be performed in 94.5% of the samples and showed good correlation with manually counted HPFs (Spearman's rho = 0.781, p < 0.001). To assess intra observer reliability, 11 samples were assessed twice by the same observer; to assess inter observer reliability, 11 random samples were blindly assessed by two observers. Intra observer reliability and inter observer reliability for nerve bundle density were excellent: 0.979 and 0.985, respectively. PGP9.5 nerve bundle density varied among samples and no nerve bundles could be found in 24.6% of the samples. GLMM showed a significant difference in PGP9.5 nerve bundle density between the different endometriosis types (X2 = 87.6, P < 0.001 after adjusting for hormonal therapy, with higher density in DE and SUP in comparison to OMA). Conclusion: A standardized protocol is presented to measure PGP9.5 nerve bundle density in endometriosis, which may serve as a biomarker reflecting local neurogenesis in the endometriosis microenvironment.
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OBJECTIVES: To assess the frequency of olfactory dysfunction (OD) among individuals afflicted with coronavirus disease of 2019 (COVID-19). METHODS: A comprehensive literature search was carried out across several bibliographical databases (PubMed, Scopus, Google Scholar, and Web of Science) to extract publications in the English language between January 2020 and December 2021 to report the incidence of OD alone or together with gustatory dysfunction (GD) among COVID-19 patients. RESULTS: Based on eligibility criteria, 84 articles were included from 27 countries, comprising 36,903 patients, of whom 58.1% were females. The generality rates of olfactory impairment alone was 34.60% and in conjunction with GD was 11.36%. Patients with OD were subclassified into various categories, and the prevalence of anosmia was 20.85%, 5.04% for hyposmia, 8.88% for anosmia or hyposmia, 1.84% for parosmia, 0.78% for phantosmia, and 0.02% for hyperosmia, among COVID-19 patients. CONCLUSION: Clinical features associated with OD, either isolated or in combination with GD, are common in patients with COVID-19 and consider important signs of COVID-19 that may guide clinicians in the early phase of the disease.PROSPERO Reg. No.: 417296.
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COVID-19 , Transtornos do Olfato , Feminino , Humanos , Masculino , Anosmia , COVID-19/epidemiologia , Transtornos do Olfato/epidemiologia , Transtornos do Olfato/etiologia , Idioma , PacientesRESUMO
Laryngeal abscesses are rare in the modern antibiotic era. This report presents a novel case of an epiglottic abscess in a patient with diabetes who developed respiratory distress and was managed by awake intubation in the emergency room followed by transoral incision and drainage of the abscess and tracheostomy. Full recovery after 1 week of intravenous antibiotic treatment was observed. Surgical intervention is necessary for treatment and culture-directed antimicrobial therapy. Poorly controlled diabetes is a newly described risk factor for spontaneous epiglottic abscess development.
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The coronavirus disease 2019 (COVID-19) vaccines have been developed to help prevent the spread of the virus infections. The COVID-19 vaccines, including Pfizer, Moderna, and AstraZeneca, have undergone rigorous testing and have demonstrated both safety and effectiveness. Extensive evidence supports their effectiveness in preventing severe illness, hospitalization, and mortality associated with COVID-19 infection. The administration of COVID-19 vaccines can directly affect hematological and biochemical parameters, with reported cases showing an association with thrombosis and thrombocytopenia. Therefore, it was hypothesized that COVID-19 vaccines may also influence hematological and biochemical markers in sickle cell patients. This study aimed to investigate the side effects of COVID-19 vaccines on sickle cell patients, providing a comprehensive evaluation of hematological and biochemical parameters. To our knowledge, this is the first study of its kind conducted in Saudi Arabia. The study included the evaluation of Pfizer and Oxford-AstraZeneca vaccines in sickle cell patients, measuring key parameters. Our findings revealed varying impacts of both vaccines on the ALT, AST, and CRP levels. Notably, CRP and ALT exhibited potential as indicators for renal disease, diabetes, and arthritis. However, further investigations are necessary to uncover the underlying mechanisms that drive these observed differences and comprehend their clinical implications for this vulnerable patient population. The unique nature of our study fills a crucial research gap and underscores the need for additional research in this area.
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Mutations in genes can alter their DNA patterns, and by recognizing these mutations, many carcinomas can be diagnosed in the progression stages. The human body contains many hidden and enigmatic features that humankind has not yet fully understood. A total of 7539 neoplasm cases were reported from 1 January 2021 to 31 December 2021. Of these, 3156 were seen in males (41.9%) and 4383 (58.1%) in female patients. Several machine learning and deep learning frameworks are already implemented to detect mutations, but these techniques lack generalized datasets and need to be optimized for better results. Deep learning-based neural networks provide the computational power to calculate the complex structures of gastric carcinoma-driven gene mutations. This study proposes deep learning approaches such as long and short-term memory, gated recurrent units and bi-LSTM to help in identifying the progression of gastric carcinoma in an optimized manner. This study includes 61 carcinogenic driver genes whose mutations can cause gastric cancer. The mutation information was downloaded from intOGen.org and normal gene sequences were downloaded from asia.ensembl.org, as explained in the data collection section. The proposed deep learning models are validated using the self-consistency test (SCT), 10-fold cross-validation test (FCVT), and independent set test (IST); the IST prediction metrics of accuracy, sensitivity, specificity, MCC and AUC of LSTM, Bi-LSTM, and GRU are 97.18%, 98.35%, 96.01%, 0.94, 0.98; 99.46%, 98.93%, 100%, 0.989, 1.00; 99.46%, 98.93%, 100%, 0.989 and 1.00, respectively.
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Pharyngoesophageal diverticula are rare causes of dysphagia. Zenker's diverticulum is the most common type, followed by Killian-Jamieson diverticulum. A 44-year-old male presented to our clinic with a longstanding history of dysphagia and globus sensation. Bilateral pharyngoesophageal diverticula were confirmed by imaging CT and esophagogastroscopy. He underwent transcervical resection, and a right Killian-Jamieson diverticulum was observed during surgery. The left diverticulum was found to originate above the cricopharyngeus muscle and was labeled as Zenker's diverticulum. Bilateral pharyngoesophageal diverticula are rare, and physicians should be aware of the variable clinical presentations and management options for pharyngoesophageal diverticula.
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Transtornos de Deglutição , Divertículo , Médicos , Divertículo de Zenker , Masculino , Humanos , Adulto , Divertículo de Zenker/diagnóstico por imagem , Divertículo de Zenker/cirurgia , Transtornos de Deglutição/etiologia , Divertículo/cirurgiaRESUMO
Through a wireless capsule endoscope (WCE) fitted with a miniature camera (about an inch), this study aims to examine the role of wireless capsule endoscopy (WCE) in the diagnosis, monitoring, and evaluation of GI (gastrointestinal) disorders. In a wearable belt recorder, a capsule travels through the digestive tract and takes pictures. It attempts to find tiny components that can be used to enhance the WCE. To accomplish this, we followed the steps below: Researching current capsule endoscopy through databases, designing and simulating the device using computers, implanting the system and finding tiny components compatible with capsule size, testing the system and eliminating noise and other problems, and analyzing the results. In the present study, it was shown that a spherical WCE shaper and a smaller WCE with a size of 13.5 diameter, a high resolution, and a high frame rate (8-32 fps) could help patients with pains due to the traditional capsules and provide more accurate pictures as well as prolong the battery life. In addition, the capsule can also be used to reconstruct 3D images. Simulation experiments showed that spherical endoscopic devices are more advantageous than commercial capsule-shaped endoscopic devices for wireless applications. We found that the sphere's velocity through the fluid was greater than the capsule's.
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OBJECTIVES: FreeStyle Libre 1 (FGM) has been approved by the FDA for children older than 4 years. It enables noninvasive glucose monitoring without the need for finger pricking. Parents of very young children often use the device off-label. Thus, we aimed to evaluate the safety of and user experience with FreeStyle Libre® 1 and determine its impact on sleep and glycemic control. METHODS: This was an ambi-directional cohort study. We recruited parents of very young children with type 1 diabetes mellitus (T1DM) who were less than 5 years old when they started using FGM at the King Saud University Diabetes Center. The parents filled out a survey evaluating their experience with the system. In addition, the glucose metrics of the children were also obtained from the Libre View system. RESULTS: We included 31 children with mean age of the children when they started using FGM was 3.88 ± 1.10 years (range, 1.46-5.4 years), and the mean sensor use was 2.3 ± 1.3 years. During the use of the device, the parents had increased sleep duration of 0.71 h (p-value=0.04), had earlier bedtime by 2.8 h (p-value=0.04), and were able to sleep in a separate room from their children. In addition, the time in range improved by 9.9%, the time above range decreased by 8.8%, and the HbA1c level reduced by 1.56%. CONCLUSIONS: The safety profile of FGM used for very young children with T1DM is the same for older children, which leads to improved metabolic control and sleep quality of both the parent and the child.
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Diabetes Mellitus Tipo 1 , Humanos , Criança , Pré-Escolar , Adolescente , Lactente , Diabetes Mellitus Tipo 1/tratamento farmacológico , Glicemia/metabolismo , Uso Off-Label , Automonitorização da Glicemia , Estudos de CoortesRESUMO
The accurate identification of the human emotional status is crucial for an efficient human-robot interaction (HRI). As such, we have witnessed extensive research efforts made in developing robust and accurate brain-computer interfacing models based on diverse biosignals. In particular, previous research has shown that an Electroencephalogram (EEG) can provide deep insight into the state of emotion. Recently, various handcrafted and deep neural network (DNN) models were proposed by researchers for extracting emotion-relevant features, which offer limited robustness to noise that leads to reduced precision and increased computational complexity. The DNN models developed to date were shown to be efficient in extracting robust features relevant to emotion classification; however, their massive feature dimensionality problem leads to a high computational load. In this paper, we propose a bag-of-hybrid-deep-features (BoHDF) extraction model for classifying EEG signals into their respective emotion class. The invariance and robustness of the BoHDF is further enhanced by transforming EEG signals into 2D spectrograms before the feature extraction stage. Such a time-frequency representation fits well with the time-varying behavior of EEG patterns. Here, we propose to combine the deep features from the GoogLeNet fully connected layer (one of the simplest DNN models) together with the OMTLBP_SMC texture-based features, which we recently developed, followed by a K-nearest neighbor (KNN) clustering algorithm. The proposed model, when evaluated on the DEAP and SEED databases, achieves a 93.83 and 96.95% recognition accuracy, respectively. The experimental results using the proposed BoHDF-based algorithm show an improved performance in comparison to previously reported works with similar setups.
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Emoções , Redes Neurais de Computação , Humanos , Algoritmos , Eletroencefalografia/métodos , Reconhecimento PsicológicoRESUMO
Plant assisted bioremediation of petroleum hydrocarbon contaminated soil is considered an effective green technology whereby accelerated degradation occurs due to converged effect of microorganisms and plants. However, survival and growth of microbes and plants under stress conditions is challenging task for success of the technology. In this study, plant growth promoting bacteria containing 1-aminocyclopropane-1-carboxylate (ACC)-deaminase activity and tolerance to petroleum hydrocarbon contamination were used in association with alfalfa for bioremediation of petroleum hydrocarbon contaminated soil. Eight pre-isolated bacterial isolates from soil having previous history of petroleum contamination were used in convergence with alfalfa on sand soil which was artificially contaminated (10 g crude oil per kg-1 of coarse textured soil). Combined effect of bacteria and plants on the degradation of petroleum hydrocarbons under controlled conditions of light and temperature was observed for a period of 60 days. The results of the study revealed that four bacterial isolates Bacillus subtilis strain PM32Y, Bacillus cereus strain WZ3S1, Bacillus sp. strain SM73 and Bacillus sp. strain WZ3S3 in association with alfalfa significantly degraded petroleum hydrocarbons. The most significant biodegradation (47%) of petroleum hydrocarbons was recorded in the experimental unit receiving PM32Y inoculation in association with alfalfa. Biodegradation of petroleum hydrocarbons was 33% with alone inoculation (without alfalfa) of PM32Y. The study revealed that combined use of bacteria and alfalfa plant is more efficient than alone application of either bacteria or plants for degradation of petroleum hydrocarbons.
This study provides the evidence for phytoremediation and significant degradation of petroleum hydrocarbons by using plant growth promoting bacteria (PGPB), containing 1-aminocyclopropane-1-carboxylate deaminase (ACC-deaminase) in association with alfalfa (Medicago sativa L.). The most significant biodegradation of petroleum hydrocarbons was recorded with a new combination of Bacillus subtilis strain PM32Y in association with alfalfa.