Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacterial Diversity in Fluoride - Contaminated Soils Using 16S rDNA Sequencing

: In the unique Kuttanad region of Kerala, India, renowned for its low - lying paddy fields and intricate waterways, this study investigates molecular microbial diversity in fluoride - contaminated soils. Key to this exploration is the molecular technique 16S rDNA sequencing. Using these molecular techniques, specific bacterial species such as Pseudomonas plecoglossicida (KTB1), Bacillus subtilis (KMB2), and Pseudomonas putida (KMNB3) were revealed within these soils. The application of molecular techniques emerges as a powerful tool for understanding specific microbial diversity in challenging environmental conditions.
Characterization of Almond Scion/Rootstock Communication in Cultivar and Rootstock Tissues through an RNA-Seq Approach

The rootstock genotype plays a crucial role in determining various aspects of scion development, including the scion three-dimensional structure, or tree architecture. Consequently, rootstock choice is a pivotal factor in the establishment of new almond (Prunus amygdalus (L.) Batsch, syn P. dulcis (Mill.)) intensive planting systems, demanding cultivars that can adapt to distinct requirements of vigor and shape. Nevertheless, considering the capacity of the rootstock genotype to influence scion development, it is likely that the scion genotype reciprocally affects rootstock performance. In the context of this study, we conducted a transcriptomic analysis of the scion/rootstock interaction in young almond trees, with a specific focus on elucidating the scion impact on the rootstock molecular response. Two commercial almond cultivars were grafted onto two hybrid rootstocks, thereby generating four distinct combinations. Through RNA-Seq analysis, we discerned that indeed, the scion genotype exerts an influence on the rootstock expression profile. This influence manifests through the modulation of genes associated with hormonal regulation, cell division, root development, and light signaling. This intricate interplay between scion and rootstock communication plays a pivotal role in the development of both scion and rootstock, underscoring the critical importance of a correct choice when establishing new almond orchards.
Effect and prediction of physical exercise and diet on blood pressure control in patients with hypertension

The study aims to explore the current status of hypertension control and its predictors in patients with hypertension in China and provide evidence for preventing and controlling hypertension. A questionnaire survey was conducted among 300 hypertensive patients who visited the Second Affiliated Hospital of Anhui Medical University from February 20, 2023 to March 11, 2023. The patients were divided into a well-controlled group and an untargeted-control group according to their hypertension control status. A total of 294 subjects, including 83 in the well-controlled group and 211 in the untargeted-control group, were included in the analysis. Multivariate logistic regression analysis showed that hypertensive patients with high BMI and family history of hypertension were risk factors for hypertension control. Married status was a protective factor for hypertension control. SVM optimized the model with γ = 0.001 and a penalty factor of C = 0.001. The prediction accuracy of the final model was 80.9%. The findings indicated that BMI, family history of hypertension, and marital status were independent predictors of blood pressure control. Further studies are warranted to illustrate potential mechanisms for improving hypertensive patients’ blood pressure control.
Development of a Pilot Literacy Scale to Assess Knowledge, Attitudes, and Behaviors towards Climate Change and Infectious Disease Dynamics in Suriname

Prior research has shown that climate literacy is sparse among low- and middle-income countries. Additionally, no standardized questionnaire exists for researchers to measure climate literacy among general populations, particularly with regards to climate change effects on vector-borne diseases (VBDs). We developed a comprehensive literacy scale to assess current knowledge, attitudes, and behaviors towards climate change and VBD dynamics among women enrolled in the Caribbean Consortium for Research in Environmental and Occupational Health (CCREOH) cohort in Suriname. Items were generated by our research team and reviewed by a group of six external climate and health experts. After the expert review, a total of 31 climate change and 21 infectious disease items were retained. We estimated our sample size at a 10:1 ratio of participants to items for each scale. In total, 301 women were surveyed. We validated our scales through exploratory (n = 180) and confirmatory factor analyses (n = 121). An exploratory factor analysis for our general Climate Change Scale provided a four-construct solution of 11 items. Our chi-squared value (X2 = 74.32; p = 0.136) indicated that four factors were sufficient. A confirmatory factor analysis reinforced our findings, providing a good model fit (X2 = 39.03; p = 0.23; RMSEA = 0.015). Our Infectious Disease Scale gave a four-construct solution of nine items (X2 = 153.86; p = 0.094). A confirmatory factor analysis confirmed these results, with a chi-squared value of 19.16 (p = 0.575) and an RMSEA of 0.00. This research is vitally important for furthering climate and health education, especially with increases in VBDs spread by Aedes mosquitoes in the Caribbean, South America, and parts of the southern United States.
Clinical Utility and Validation of the Acoustic Voice Quality and Acoustic Breathiness Indexes for Voice Disorder Assessment in English Speakers

Background: While several acoustic voice metrics are available for clinical voice assessment, there remains a significant need for reliable and ecologically valid tools. The Acoustic Voice Quality Index version 03.01 (AVQI-3) and Acoustic Breathiness Index (ABI) hold potential due to their comprehensive assessment approach, incorporating diverse voice aspects. However, these tools still need to be validated in English-speaking populations. Methods: This study assessed the discriminatory accuracy and validity of AVQI-3 and ABI in 197 participants, including 148 with voice disorders. Voice samples were collected, followed by AVQI-3 and ABI calculations. Additionally, auditory-perceptual assessments were conducted by a panel of speech-language pathologists. Results: AVQI-3 and ABI effectively identified disordered voice quality, evidenced by high accuracy (AUCs: 0.84, 0.89), sensitivity, and specificity (thresholds: AVQI-3 = 1.17, ABI = 2.35). Strong positive correlations were observed with subjective voice quality assessments (rs = 0.72, rs = 0.77, p < 0.001). Conclusions: The study highlights AVQI-3 and ABI as promising instruments for clinically assessing voice disorders in U.S. English speakers, underscoring their utility in clinical practice and voice research.
Factors influencing the likelihood of dental service checkup: results from a survey in Saudi Arabia

Background The funding and delivery of healthcare including dental care in the Kingdom of Saudi Arabia (KSA, or Saudi Arabia) is undergoing a process of reform. To inform this process, it is important that policymakers are aware of the relationships between service use, specific types of use, and the factors that influence this. Currently, there is a paucity of research in this area in KSA that examines dental service use for checkups at a national level and none that examines differences in this use across regions or that examines explicitly the role of income. Aims This study uses the most recent version of the Saudi Health Interview Survey (SHIS) to examine the relationships between the use of dental services for a checkup and socio-demographic characteristics of respondents. Particular focus is given to the differences between regions in service use and the role of socio-demographics within regions. Methods Data were taken from SHIS 2013. Descriptive statistics (means and standard errors) were used to characterize the sample. Logistic regression analyses were used to examine the relationship between checkups in the past 12 months and a range of covariates including income and region. The analysis was repeated for sub-samples based on specific regions. No attempt was made to impute missing values. Results A sample of 7603 respondents provided complete data for analysis. Fifty-one per cent of the respondents were male, 29% were educated at least to degree level, 25% reported that they floss at least once per day, 69% reported that they brushed their teeth at least once per day, and 11% reported that they had visited the dentist for a checkup in the preceding 12 months. Logistic regression analyses revealed income, region, and oral hygiene habits to be among the significant determinants of the likelihood of dental checkup in the preceding 12 months. In logistic regression analyses at the regional level, different relationships were evident between checkups and socio-demographic characteristics across regions. Conclusion Region and income are significant determinants of dental service use for checkups. Differences exist between regions in the relationship between socio-demographic characteristics and the likelihood of getting checkups. Policy changes should reflect the potential differences they might have across regions for which the role of socio-demographic characteristics varies.
A Personalized Motion Planning Method with Driver Characteristics in Longitudinal and Lateral Directions

Humanlike driving is significant in improving the safety and comfort of automated vehicles. This paper proposes a personalized motion planning method with driver characteristics in longitudinal and lateral directions for highway automated driving. The motion planning is decoupled into path optimization and speed optimization under the framework of the Baidu Apollo EM motion planner. For modeling driver behavior in the longitudinal direction, a car-following model is developed and integrated into the speed optimizer based on a weight ratio hypothesis model of the objective functional, whose parameters are obtained by Bayesian optimization and leave-one-out cross validation using the driving data. For modeling driver behavior in the lateral direction, a Bayesian network (BN), which maps the physical states of the ego vehicle and surrounding vehicles and the lateral intentions of the surrounding vehicles to the driver’s lateral intentions, is built in an efficient and lightweight way using driving data. Further, a personalized reference trajectory decider is developed based on the BN, considering traffic regulations, the driver’s preference, and the costs of the trajectories. According to the actual traffic scenarios in the driving data, a simulation is constructed, and the results validate the human likeness of the proposed motion planning method.
Validation and Reliability of Questionnaire Evaluating the Role of Feeding Practices and Maternal Influences on Early Childhood Caries amongst 2 to 6 Year Old Children in Kolkata, West Bengal

: Aim: The aim of the study was to check the validity and reliability of questionnaire evaluating the role of feeding practices and maternal influences on Early Childhood Caries. Materials and Methods: A pilot study was done with participants, including boys and girls, who visited the outpatient department. Children between the ages 2 to 6 years were included in the study. Parents filled up the questionnaire which consisted of 22 items. The English version of the questionnaire was formulated through various literature reviews and was sent to a bilingual teacher for translation into Bengali(V1) and Hindi(V2). After that, questionnaire was sent to bilingual teacher for any semantic correction and made idiosyncratic variants. The scale was then back translated into the original language. Data were tabulated and analyzed and the statistical methods used were Cronbachs alpha , Inter-observer reliability and Content validity ratio. Results: Content Validity Ratio ranged is within the acceptable limit. For Intra-class correlation coefficient questions showed showed good reliability. Cronbach's alpha indicates the questionnaire has overall good validity and reliability. Conclusion: The questionnaire is a simple and valid scale which can be used to evaluate the role of feeding practices and maternal influences on Early Childhood Caries.
Will the experimental population control of an invasive crayfish influence the diet and trophic position of a native crayfish? An assessment using stable isotopes

Context . Trophic overlap between invasive and native species can cause a competitive displacement of the native. In Australian freshwaters, the invasive cray ﬁ sh Cherax destructor has proliferated into the ranges of native Euastacus species. Aims . To examine trophic overlap between C. destructor and the critically endangered Euastacus dharawalus and determine whether C. destructor population control causes shifts in the diet and trophic position of E. dharawalus . Methods . We compared δ 13 C and δ 15 N values of tissue from both species collected from two sites. Population control of C. destructor was then conducted at one site, whereas the C. destructor population remained uncontrolled at the second site. The δ 13 C and δ 15 N values of E. dharawalus were then once again assessed. Key results . Both species occupied similar trophic positions and consumed similar proportions of each food resource prior to control efforts. However, we found increases in the contribution of detritus to the diet of E. dharawalus following the removal of C. destructor , whereas no dietary shifts occurred at the uncontrolled site. Conclusions and implications . The increase in detrital consumption suggests that control of C. destructor increased the availability of a preferred resource. Further, dietary competition between C. destructor and E. dharawalus is likely and reinforces C. destructor representing a substantial threat to Euastacus cray ﬁ sh.
An Introduction of AELIS (Aquatic Environment Life-saving Integrated System)

ABSTRACT Kang, D.Y. ; Hong, S. , and Lee, J., 2017. An introduction of AELIS (Aquatic Environment Life-saving Integrated System). In: Lee, J.L. ; Griffiths, T. ; Lotan, A. ; Suh, K. -S. , and Lee, J. (eds.), The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 11–15. Coconut Creek (Florida), ISSN 0749-0208. AELIS (Aquatic Environment Life-saving Integrated System) is designed to monitor the high profiles of drowning and the swimmers approaching the swimming boundary lines in real time in order to prevent accidents in the water environment and maintain high standard of the safety. It also detects the swimmers who attempt to get in the water without lifeguards at night, which has high possibility of drowning. The system automatically recognize the potential danger in the blind spots where lifeguards hardly manage. AELIS proactively reduces the risk of life-threatening accidents and supports fast rescue by paging to the lifeguards and safety officers of the facilities. AELIS utilizes an image perception algorithm to detect violation of swimming boundaries and keep tracking of swimmers during its operation. The system is developed based on intelligent video surveillance algorithm, the CCTV, and Geographical Information System (GIS), which enables real time warning to the safety operators in the aquatic environment.
The Significance of Selecting an Appropriate Patient-Reported Outcome Measure (PROM): A Cross-Cultural Adaptation of the Specific Paediatric International Documentation Committee Subjective (Pedi-IKDC) Knee Form

Introduction: The selection of an appropriate PROM is a crucial aspect in assessing outcomes. Questionnaires that have not been designed or validated for a paediatric population are routinely used. Using a questionnaire requires translation, cultural adaptation, and testing the psychometric properties of the translated questionnaire. There is no applicable questionnaire in our country for children with knee-specific conditions in sports orthopaedics. Therefore, this study aims to translate, culturally adapt, and assess the psychometric properties of the Paediatric IKDC (Pedi-IKDC) questionnaire within the Lithuanian paediatric population. Methods: The translation was conducted in accordance with international standards. Patients aged 11–17 years with various knee disorders participated in three surveys and completed the Pedi-IKDC, Lysholm, and PedsQL questionnaires. Interviews with patients following the translation process, in addition to floor and ceiling effects, were used to assess content validity. Cronbach alpha (α) statistics and the intraclass correlation coefficient (ICC) were applied to measure internal consistency and reproducibility, respectively. The standard error of measurement (SEM) and smallest detectable change (SDC) were calculated to assess reliability. Pearson correlations were calculated between Pedi-IKDC and Lysholm PedsQL scores to determine criteria validity. The effect size (ES) and standardised response mean (SRM) were calculated to assess the responsiveness to change. Results: Cronbach’s alpha (α) was 0.91 for the total score, 0.75 for symptoms, and 0.92 for the sport/function component. The ICC for overall scores was 0.98, with each question ranging from 0.87 to 0.98. The SEM was 2.97, and the SDC was 8.23. Lysholm and PedsQL physical functioning domain scores had moderate correlations (0.8 > r > 0.5), and the overall PedsQL score had a weak correlation (0.5 > r > 0.2) to the Pedi-IKDC score. The floor and ceiling effects were 3.3% and 1.6%, respectively. The SRM was 1.72 and the ES was 1.98. Conclusions: The Lithuanian Pedi-IKDC version is an appropriate evaluation instrument for assessing outcomes in children with knee disorders. All of the psychometric features produced acceptable results.
A Real-Time 2D/3D Perception Visual Vector Processor for 1920 × 1080 High-Resolution High-Speed Intelligent Vision Chips

Edge computing of reliable multimodal (2D RGB/3D RGB-Depth) data has a wide range of applications. However, many of currently reported visual processors cannot flexibly handle multimodal data, e.g., the visual streams of RGB-Depth data. The key challenge exists that these prior visual processors do not come with efficient and unified instruction set architecture (ISA) for both conventional and intelligent cognition on the 2D/3D multimodal sensory data. To fill such a gap, this paper proposes a programmable intelligent visual vector processor compatible with multimodal 2D/3D visual data processing (<inline-formula> <tex-math notation="LaTeX">$1920\times 1080$ </tex-math></inline-formula>-pixel resolution). The processor consists of a reconfigurable processing element (PE) array, a memory access network flexibly configurable to be fine- or coarse-grained, and a high throughput I/O interface. The vectorial PE array with neighbor PE access increases the data reuse rate and parallel computation efficiency, and can implement both convolutional neural networks (CNNs) and conventional image processing algorithms. The proposed ISA is customized and optimally tailored targeting 2D/3D image processing from RGB/Time-of-Flight(ToF) raw data to intelligent inference results. The chip is fabricated in a 55-nm CMOS process. The experimental results showed that the area efficiency, peak performance, and peak throughput of our chip attained as high as 14.41GOPS/mm2, 409.6GOPS, and 9.6Gbps at 200MHz, respectively. The measured processing speeds of this chip on ToF depth reconstruction is 87fps (<inline-formula> <tex-math notation="LaTeX">$480\times 270$ </tex-math></inline-formula>) or 31 fps(<inline-formula> <tex-math notation="LaTeX">$1920\times 1080$ </tex-math></inline-formula>),on 3D object classification is 219fps (<inline-formula> <tex-math notation="LaTeX">$256\times 256$ </tex-math></inline-formula>), and on CNN-based 2D object tracking is 36fps (<inline-formula> <tex-math notation="LaTeX">$256\times 256$ </tex-math></inline-formula>).
The role of nitrogen sources and hydrogen adsorption on the dynamic stability of Fe–N–C catalysts in oxygen reduction reaction

Fe–N–C catalysts are promising alternatives to Pt-based electrocatalysts for the oxygen reduction reaction (ORR) in various electrochemical applications. However, their practical implementation is impeded by their instability during prolonged operation. Various degradation mechanisms have been proposed, yet the real origin of the intrinsic instability of Fe–N–C structures under ORR operations is still disputed. Herein, we observed a new type of protonation mechanism based on advanced first-principles simulations and experimental characterizations. The results revealed strong evidence of pyrrolic-N protonation in pyrrolic-type FeN4, which plays a vital role for the low kinetic barrier of Fe leaching. Conversely, the pyridinic-type FeN4 prefers protonation at the Fe site, contributing to the higher barrier of Fe leaching and relatively higher stability. The facile pyrrolic-N protonation is verified by various spectroscopy characterizations in the Nafion-treated FePc molecule. Crucially, the presence of oxygen-containing intermediates at the Fe site can further work synergistically with N protonation to promote conversion of iron atoms (Fe–N4) into ferric oxide under working potentials, and the more positive the electrode potential, the lower the kinetic barrier of Fe leaching. These findings serve as a foundation for future research endeavors on the stability issues of Fe–N–C catalysts and advancing their application in sustainable energy conversion technologies.
Cannabidiol at Nanomolar Concentrations Negatively Affects Signaling through the Adenosine A2A Receptor

Cannabidiol (CBD) is a phytocannabinoid with potential as a therapy for a variety of diseases. CBD may act via cannabinoid receptors but also via other G-protein-coupled receptors (GPCRs), including the adenosine A2A receptor. Homogenous binding and signaling assays in Chinese hamster ovary (CHO) cells expressing the human version of the A2A receptor were performed to address the effect of CBD on receptor functionality. CBD was not able to compete for the binding of a SCH 442416 derivative labeled with a red emitting fluorescent probe that is a selective antagonist that binds to the orthosteric site of the receptor. However, CBD reduced the effect of the selective A2A receptor agonist, CGS 21680, on Gs-coupling and on the activation of the mitogen activated kinase signaling pathway. It is suggested that CBD is a negative allosteric modulator of the A2A receptor.
Identification of Respiration Types Through Respiratory Signal Derived From Clinical and Wearable Electrocardiograms

Goal: To evaluate suitability of respiratory signals derived from clinical 12-lead electrocardiograms (ECGs) and wearable 1-lead ECG to identify different respiration types. Methods: ECGs were simultaneously acquired through the M12R ECG Holter by Global Instrumentation and the chest strap BioHarness 3.0 by Zephyr from 42 healthy subjects alternating normal breathing, breath holding, and deep breathing. Respiration signals were derived from the ECGs through the Segmented-Beat Modulation Method (SBMM)-based algorithm and the algorithms by Van Gent, Charlton, Soni and Sarkar, and characterized in terms of breathing rate and amplitude. Respiration classification was performed through a linear support vector machine and evaluated by F1 score. Results: Best F1 scores were 86.59%(lead V2) and 80.57%, when considering 12-lead and 1-lead ECGs, respectively, and using SBMM-based algorithm. Conclusion: ECG-derived respiratory signals allow reliable identification of different respiration types even when acquired through wearable sensors, if associated to appropriate processing algorithms, such as the SBMM-based algorithm.