Miracle-dz/UniFAR-FTUs huggingface dataset:
The Efficacy of Educational Interventions in Improving School Teachers’ Knowledge of Attention Deficit Hyperactivity Disorder

Background: Well-trained primary school teachers should be competent in recognizing attention deficit hyperactivity disorder (ADHD) in students and be able to assist in providing care and support. Objectives: This study intends to assess primary school teachers' knowledge of ADHD and evaluate the effectiveness of a short-term educational intervention. Methods: A quasi-experimental quantitative study was conducted among primary school teachers in Jazan, Saudi Arabia. A two-hour educational intervention was designed and run in six schools using a specific knowledge rating scale before and after the application of the intervention. Results: A total of 150 primary school teachers were included in this study, of which 64% were males, 51.3% were in the age group of 40-49 years, and 28% had teaching experience of more than 20 years. Regarding ADHD knowledge, the pre-intervention knowledge of the general criteria, symptoms and diagnosis, and treatment was considered adequate in 3.3%, 16.7%, and 2.7% of the participants, respectively, which improved post-intervention to 22%, 54.7%, and 19.3%, respectively. There was a significant association between the pre-intervention knowledge of the general criteria and the gender and between the knowledge of symptoms and diagnosis and the attendance of ADHD workshop by the participants. Also, there was a significant association between the participants' age, residence experience, attendance of ADHD workshops, and the general criteria and treatment domains. Conclusions: Most primary school teachers in Jazan have insufficient knowledge of ADHD. Using a knowledge improvement intervention can substantially improve the teachers’ knowledge. Therefore, it is necessary to incorporate thoughtful knowledge improvement programs into the educational curricula for teachers.
Glacial Narratives: How Can They Be Captured?

On 18th of August 2019, a funeral ceremony was held in the Highlands of Iceland at which the glacier Ok was commemorated, as the first in Iceland to disappear. The ceremony was initiated by two anthropologists from Rice University, Texas, Cymene Howe and Dominic Boyer, both of whom have researched climate change in the Anthropocene. Joining them were about 100 people who followed in a procession to the glacier’s former location, including the prime minister of Iceland, Katrín Jakobsdóttir, the former UN human rights commissioner and the president of Ireland, Mary Robinson, glaciologist, Oddur Sigurðsson and writer and environmental activist, Andri Snær Magnason, who authored the text ‘A letter to the future’ written on the memorial plaque:
Stratigraphy of the southern coast ranges near the San Andreas Fault from Cholame to Maricopa, California

_ __________________________ Introduction _____________________________________ Scope and purpose ___________________________ Problems of stratigraphic terminology _________ Chronology used _____________________________ Tectonic areas ____________________________ Crystalline plutonic and metamorphic rocks ________ Eugeosynclinal sedimentary and igneous rocks _____ Definition ___________________________________ Franciscan rocks ____________________________ Ultramafic rocks _ __ __________________ Jurassic (? ) and Cretaceous marine sedimentary sequence __ ______________________________ Definition _____________________________ Gravelly Flat Formation _____________________ Hex Claystone _______________________________ Panoche Formation __________________________ Upper Cretaceous and lower Tertiary marine sedimentary sequence _________________ Definition ___i_______________________________ Marine clastic sedimentary rocks ______________ Lower Tertiary marine sedimentary sequence _______ Definition ________________________ Lodo(? ) Formation __________________________ Avenal Sandstone ____________________________ Kreyenhagen Shale __________________________ Point of Rocks Sandstone _________________ Wagonwheel Formation ______________________ Middle Tertiary sedimentary sequence _____________ Definition ___________________________________ Simmler Formation __________________________ Vaqueros and Temblor Formations ____________ Review of nomenclature __________________ Vaqueros Formation ____________ Quail Canyon Sandstone Member __ Soda Lake Shale Member _____________ Painted Rock Sandstone Member Temblor Formation ______________________ Cymric Shale Member ___________ Wygal Sandstone Member ____________ Santos Shale and Agua Sandstone Members __________ Carneros Sandstone Member ________ Media Shale Member _________________ Page 1 1 1 3 3 5 5 6 6 6 6
The Evaluation of Medical Records of Gingival Recession in Chronic Periodontitis Patient

Background: Periodontitis is inflammation of the gingiva accompanied by alveolar bone loss, which causes loss of attachment. Local factors that can exacerbate periodontitis are gingival recession, a condition where the gingival margin is pulled away from the cemento-enamel junction (CEJ), resulting in the opening of the root surface that was initially closed. Objective: This study aimed to determine the distribution of gingival recession features in chronic periodontitis patients at the Universitas Trisakti Dental Hospital, Indonesia. Material and Methods: This type of research is an observational descriptive with a cross-sectional research design with periodic medical record samples from January 2013 to December 2017. Data obtained from medical records were recorded and grouped in tables and then analyzed manually. Results: Of the 583 periodontal patients, there were 311 patients with gingival recession consisting of 11 maxillary gingival recession patients, 21 mandibular gingival recession patients with the majority of mild classification of gingival recession (3.0 mm from the exposed root surface) and 279 patients suffering from in both jaws with the majority classification of severe gingival recession ( 4.0 mm exposed root surface). Conclusion: Gingival recession in patients with chronic periodontitis is more common in the mandible than the maxilla. Patients with chronic periodontitis mostly experience gingival recession of more than 1 tooth in the upper and lower jaw with severe classification ( 4 mm).
Old-growth definition for western and mixed mesophytic forests. Forest Service general technical report

Old-growth mixed and western mesophytic forest characteristics may include high canopy species diversity; uneven-age and size distribution, including several old, decadent, large-diameter tree per hectare; low density and high basal area of canopy trees; and multiple vegetation strata. Additional indicators include the presence of snags and logs in several size and decomposition classes; undisturbed soil with no compaction, well-developed organic layer and soil macropores; and tree-fall gaps of various sizes and ages.
Essentials of Paleomagnetism

1. THE PHYSICS OF MAGNETISM 2. THE GEOMAGNETIC FIELD 3. INDUCED AND REMANENT MAGNETISM 4. MAGNETIC ANISOTROPY AND DOMAINS 5. MAGNETIC HYSTERESIS 6. MAGNETIC MINERALOGY 7. HOW ROCKS GET AND STAY MAGNETIZED 8. APPLIED ROCK (ENVIRONMENTAL) MAGNETISM 9. GETTING A PALEOMAGNETIC DIRECTION 10. PALEOINTENSITY 11. FISHER STATISTICS 12. BEYOND FISHER STATISTICS 13. PALEOMAGNETIC TENSORS 14. THE ANCIENT GEOMAGNETIC FIELD 15. THE GPTS AND MAGNETOSTRATIGRAPHY 16. TECTONIC APPLICATIONS OF PALEOMAGNETISM
Using Neural Networks Algorithm in Ischemic Stroke Diagnosis: A Systematic Review

Objective To evaluate the evidence of artificial neural network (NNs) techniques in diagnosing ischemic stroke (IS) in adults. Methods The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was utilized as a guideline for this review. PubMed, MEDLINE, Web of Science, and CINAHL Plus Full Text were searched to identify studies published between 2018 and 2022, reporting using NNs in IS diagnosis. The Critical Appraisal Checklist for Diagnostic Test Accuracy Studies was adopted to evaluate the included studies. Results Nine studies were included in this systematic review. Non-contrast computed tomography (NCCT) (n = 4 studies, 26.67%) and computed tomography angiography (CTA) (n = 4 studies, 26.67%) are among the most common features. Five algorithms were used in the included studies. Deep Convolutional Neural Networks (DCNNs) were commonly used for IS diagnosis (n = 3 studies, 33.33%). Other algorithms including three-dimensional convolutional neural networks (3D-CNNs) (n = 2 studies, 22.22%), two-stage deep convolutional neural networks (Two-stage DCNNs) (n = 2 studies, 22.22%), the local higher-order singular value decomposition denoising algorithm (GL-HOSVD) (n = 1 study, 11.11%), and a new deconvolution network model based on deep learning (AD-CNNnet) (n = 1 study, 11.11%) were also utilized for the diagnosis of IS. Conclusion The number of studies ensuring the effectiveness of NNs algorithms in IS diagnosis has increased. Still, more feasibility and cost-effectiveness evaluations are needed to support the implementation of NNs in IS diagnosis in clinical settings.
Local government innovation model in Pekanbaru City, Indonesia: a study of public service mall

This research aims to find a model for implementing local government innovation in Pekanbaru City. One of the Innovation Public Service Mall innovations with the highest score is SMART PETAKU (Pekanbaru City Government Land Asset Management System) with a score of 820. However, there are still several innovations with the lowest score, one of which is the E-Archive with a score of 0. Using the theory of disruptive innovation ( Yu Hang, 2010), the basic design of this study uses a qualitative method with a descriptive approach from primary data sources obtained from in-depth interview techniques and secondary data, namely passive observation techniques. The research findings show that first, the success of the internal perspective is determined by the indicators of visionary and innovative local government head leadership, the right organizational structure with the establishment of a Public Service Mall, an organizational culture that is not separated from the pathology of democracy, and employee competencies that require development. Second, an external perspective determined by supervision from the Pekanbaru City DPRD, community participation, and appreciation factors that have a significant effect on the performance of the Pekanbaru City Government. Third, the marketing aspect is supported by the existence of a dynamic website from the content and information presented. Fourth is the technological perspective, where the Pekanbaru City Government through the Public Service Mall applies the E-Gov concept with application designs for requests and complaints. The conclusion of the study found the IEMT model with internal, external, market, and technology perspective dimensions. Recommendations for further research are collaborative governance studies in service innovation with the private sector at Public Service Malls which are still disproportionate.
GRACE Performance Study and Sensor Analysis

In march 2002 the satellite mission GRACE was launched with the objective to map the Earth's gravity field with high spatial and temporal resolution. The mission is de- signed to detect temporal changes in the gravity field from a series of monthly global potential models. This requires highly accurate sensors and sophisticated data processing techniques. Indeed the first mission results proof the feasi- bility of GRACE to detect such temporal variations. Still, the accuracy of these first models does not meet the ex- pected level, i.e. the accuracy potential with respect to pre- launch performance analysis is not fully exhausted. The paper presents a comparison of pre-launch mission require- ments and actual mission performance based on estimates of the actual noise level. It is shown, that the ranging system performs very well, while disturbances in the accelerometer data can deteriorate the mission performance significantly.
Association of Per- and Polyfluoroalkyl Substances with Allostatic Load Stratified by Herpes Simplex Virus 1 and 2 Exposure

Herpes Simplex Virus (HSV) 1 and 2 are persistent infections that affect a significant percentage of United States (US) adults, with 48% having HSV-1 and 12% having HSV-2. Using data stratified by HSV-1 and HSV-2 exposures, this study investigated the association of per- and polyfluoroalkyl substances (PFAS), a group of toxic synthetic organofluorine chemical compounds found in environmental, occupational, and home settings, with allostatic load (AL), an index of chronic physiological stress. Descriptive statistics, multivariable logistic regression, and Bayesian Kernel Machine Regression (BKMR) modeling were used to assess the effects of multi-PFAS exposures on AL using data from the National Health and Nutrition Examination Survey (NHANES) 2007–2014. Results indicated participants not exposed to PFAS exhibited 77% to 97% lower odds of higher AL (p < 0.001). For example, PFOS per unit increase brought forth a 2% odds increase in higher AL (OR: 1.02; 95% CI: 1.00, 1.05; p < 0.05). Participants exposed to PFAS had reduced odds of higher AL (77%–79%), regardless of their HSV-1 and HSV-2 status. PFAS exposure was more prevalent in those with HSV-1 (60%) than in those with HSV-2 (20%) infection, while AL levels were comparable in both groups (17%). BKMR revealed a nonlinear PFAS-AL association and confirmed interactions among PFAS. In summary, PFAS exposure increased the likelihood of higher AL among those with persistent HSV infections. Our study enhances the current understanding of the complex dynamics involving PFAS, persistent infections, and AL, which hold significant implications for public health and clinical intervention strategies.
OTA Based Mem-capacitor Validation and Implementation Using Commercially Available IC

— This paper discusses a mem-capacitor circuit which is based on two MO-OTA along with a multiplier and 4 passive elements. This circuit is a charge-controlled memcapacitor emulator which is independent of any memristor also it consists the feature of electronic tunability. Additionally, this circuit is simpler and uses less hardware because it lacks a mutator and uses fewer active-passive components. The circuit behaviour is justified through various simulations in cadence Orcad tool with 180nm CMOS TSMC parameters. Additionally, conclusions from simulations and theory are validated experimentally through commercially available IC.
Inter-observer agreement of a multi-parameter campsite monitoring program on the Dixie National Forest, Utah

Precision is crucial to campsite monitoring programs. Yet, little empirical research has ever been published on the level of precision of this type of monitoring programs. The purpose of this study was to evaluate the level of agreement between observers of campsite impacts using a multi-parameter campsite monitoring program. Thirteen trained observers assessed 16 dispersed campsites on the Dixie National Forest in southern Utah. The data were analyzed using Cohen’s kappa statistic to determine the level of observer agreement beyond chance for each of the impact attributes and the condition class rating. Results showed a moderate level of proportional agreement and a low level of agreement beyond chance. These results suggest that the data collection protocol must be improved to increase the level of inter-observer agreement. Results also indicate that managers should evaluate their training procedures to increase precision.
Une modélisation multi-physique et multi-phasique du contact lubrifié

De nombreuses hypotheses sont classiquement utilisees pour decrire le comportement du fluide dans un contact lubrifie : film continu, viscosite constante dans l’epaisseur, film mince, fluide newtonien… Or, certaines s’averent erronees des lors que l’on s’interesse aux contacts Elasto- HydroDynamiques fortement glissants ou a la repartition du lubrifiant en sortie de contact. Une approche numerique originale, basee sur un retour aux equations de la mecanique des fluides generale et prenant en compte le couplage fluide/solide et les effets thermiques sont proposes ici dans le but d’apporter des elements physiques supplementaires aux modelisations usuelles. Dans un premier temps, l’influence des effets thermiques sur l’evolution du frottement dans les contacts Thermo-EHD est mise en evidence. La presence d’un minimum de frottement pour le cas du glissement pur est expliquee par l’analyse des transferts thermiques entre le lubrifiant et les solides. L’origine des modifications locales d’epaisseur de film observees et l’existence meme d’une epaisseur de film lubrifiant pour les cas de vitesse d’entrainement nulle sont alors reliees a la presence d’un fort gradient de viscosite dans l’epaisseur de film. Une comparaison qualitative avec des elements experimentaux de la litterature est realisee, validant les tendances obtenues. Dans un second temps, l’ecoulement a surface libre du lubrifiant en peripherie du contact est etudie experimentalement puis numeriquement par une methode a interface diffuse. Le role des effets capillaires est analyse et les resultats numeriques confrontes a des resultats issus de la litterature. Un bon accord est obtenu tant qualitativement que quantitativement. Valide par l’etude numerique diphasique (air/lubrifiant) realisee, un modele analytique simplifie est alors developpe, predisant une loi de repartition du lubrifiant en sortie de contact. La zone de sortie des contacts EHD est ensuite traitee par un modele de cavitation vaporeuse et la prise en compte necessaire de l’air environnant est discutee. Enfin, une premiere modelisation tridimensionnelle de l’ecoulement a surface libre du lubrifiant autour d’un contact ponctuel est realisee mettant en avant l’influence des effets capillaires et la faisabilite d’une telle approche.
Intercepted photosynthetically active radiation in wheat canopies estimated by spectral reflectance. [Phoenix, Arizona]

The interception of photosynthetically active radiation (PAR) was evaluated relative to greenness and normalized difference (MSS 7-5/7+5) for five planting dates of wheat for 1978-79 and 1979-80 in Phoenix. Intercepted PAR was calculated from a model driven by leaf area index and stage of growth. Linear relationships were found between greenness and normalized difference with a separate model representing growth and senescence of the crop. Normalized difference was a significantly better model and would be easier to apply than the empirically derived greenness parameter. For the leaf area growth portion of the season the model between PAR interception and normalized difference was the same over years, however, for the leaf senescence the models showed more variability due to the lack of data on measured interception in sparse canopies. Normalized difference could be used to estimate PAR interception directly for crop growth models.
Research portfolio submitted in part fulfilment of the requirements for the Degree of Doctorate in Clinical Psychology

This article presents an evaluative review of the literature on hoarding in older adult populations. Interest in hoarding is growing rapidly, with significant media attention and the inclusion of ‘hoarding disorder’ in DSM-5. Studies are now beginning to examine the phenomenon within particular client groups. This article aims to synthesise and examine research findings regarding older adults with hoarding problems. Database and journal searching revealed a small but growing body of work in this area, which was reviewed with respect to a number of theoretical issues. The reviewed studies tended to rely on purely descriptive methodologies, meaning that typical case presentations and circumstances are well documented but underlying causal and maintenance mechanisms are less well understood. There is a clear need for longitudinal work and cross-sectional designs comparing age groups, utilising appropriate control groups where possible. Directions for future research in this area are suggested, along with consideration of how the current findings might inform generic theories and models of hoarding.
Possibilistic Information Fusion Using Maximal Coherent Subsets

When multiple sources provide information about the same unknown quantity, their fusion into a synthetic interpretable message is often a tricky problem, especially when sources are conflicting. In this paper, we propose to use possibility theory and the notion of maximal coherent subsets (MCSs), often used in logic-based representations, to build a fuzzy belief structure that will be instrumental both for extracting useful insight about various features of the information conveyed by the sources and for compressing this information into a unique possibility distribution. Extentions and properties of the basic fusion rule are also studied.
Cross-sectional State-Space Forecasting with Partial Pooling

We propose a novel architecture for time series models built upon state-space methods. We jointly estimate many, potentially multivariate, distributions deﬁned using state-space models by partially pooling their parameters across the cross-section. These joint distributions deﬁne a novel recurrent neural network. By combining state-space methods and neural networks, we leverage the interpretability of state-space models and the scalability and ﬂexibility of neural networks. This lets us build an accurate, ﬂexible, and scalable forecast that is not a black box. We implement this architecture by building a library on the deep learning library MXNet to leverage state-of-the-art scalable optimization techniques including automatic differentiation and computation graphs to estimate the parameters governing the state-space models. This library abstracts over a large class of state-space models allowing users to estimate almost arbitrary model speciﬁcations without code changes. We forecast weekly business formation by state, which is obtained from the FRED economic database at the St. Louis Federal Reserve bank. We show that this forecast is more accurate than state-of-the-art neural network approaches (DeepState) and more accurate than state-of-the-art univariate generalized linear models (Prophet) when the data are particularly volatile.