Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Different Methods in Measuring Alveolar Ridge Width Accuracy before Placement of Implant: An In Vivo Study

Aim and objective: This study aimed to evaluate the different approaches in measuring alveolar ridge width accurateness before implant placement. Materials and methods: This study included 30 partially edentulous patients with missing teeth in the age range of 18–50 years needing dental implant prosthetic replacement of the missing teeth. A stent was prepared and the width of the alveolar ridge was estimated employing the following techniques: Group I: Measurement of alveolar ridge width on cone-beam computed tomography (CBCT) method, group II: Measurement of alveolar ridge width by ridge mapping technique, group III: Measurement of alveolar ridge width by surgical exposure. The data were analyzed statistically using the SPSS Statistics for Windows Software, version 17.0. The significance level was set at 5%. Results: 3.84 ± 0.20 was the width of the alveolar ridge on CBCT, 3.96 ± 0.44 with ridge mapping, and 3.78 ± 0.16 by direct measurement upon surgical exposure at point 1. The measurements at point 2 on CBCT, by ridge mapping, and on surgical exposure were 6.80 ± 0.26, 7.02 ± 0.98, and 6.68 ± 0.76, respectively. When ridge mapping and surgical exposure methods at both points were compared, the difference between the groups was significant statistically at point 2 with the p value < 0.04. Conclusion: Cone-beam computed tomography and ridge mapping techniques when independently compared with the gold standard surgical exposure system, CBCT was verified to be an extremely specific and sensitive technique to measure the residual alveolar ridge width for dental implant therapy planning. Clinical significance: Residual ridge resorption following the tooth extraction is an inevitable phenomenon that results in inadequate width of the ridge. Hence, it is essential to measure the physical dimensions of the existing bone as part of the diagnosis and pre-surgical planning before implant placement. The success of the dental implant depends on the significant requirement of dimensions of the existing bone. computed tomography, Ridge
Seismic behavior of single‐story asymmetric‐plan buildings under uniaxial excitation

The critical parameters that influence the nonlinear seismic response of asymmetric‐plan buildings are identified by evaluating the effects of different asymmetries that may characterize the structure of a building as well as exploring the influence of the ground motion features. First, the main findings reported in the literature on both the linear and nonlinear dynamic response of asymmetric‐plan buildings are presented. The common findings and the conflicting conclusions reached in different investigations are pointed out. Then, the results of comprehensive nonlinear dynamic analyses performed for evaluating the seismic response of systems characterized by different strength and stiffness configurations, representative of a large class of asymmetric‐plan buildings, are reported. Findings from the study indicate that the building response changes when moving from the linear to the nonlinear range, so that the seismic behavior of asymmetric‐plan buildings, apart from the source of asymmetry, can be always classified as irregular. Additionally, it was observed that as the seismic demands cause amplification of system nonlinearity with increasing earthquake intensity, the maximum displacement demand in the different resisting elements tends to be reached with the same deformed configuration of the system. The resultant of the seismic forces producing such a maximum demand is located at the center of resistance and corresponds to the collapse mechanism of the system that provides the maximum lateral strength in the exciting direction of the seismic action. Copyright © 2008 John Wiley & Sons, Ltd.
TagLab: AI‐assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages

Semantic segmentation is a widespread image analysis task; in some applications, it requires such high accuracy that it still has to be done manually, taking a long time. Deep learning‐based approaches can significantly reduce such times, but current automated solutions may produce results below expert standards. We propose agLab, an interactive tool for the rapid labelling and analysis of orthoimages that speeds up semantic segmentation. TagLab follows a human‐centered artificial intelligence approach that, by integrating multiple degrees of automation, empowers human capabilities. We evaluated TagLab's efficiency in annotation time and accuracy through a user study based on a highly challenging task: the semantic segmentation of coral communities in marine ecology. In the assisted labelling of corals, TagLab increased the annotation speed by approximately 90% for nonexpert annotators while preserving the labelling accuracy. Furthermore, human–machine interaction has improved the accuracy of fully automatic predictions by about 7% on average and by 14% when the model generalizes poorly. Considering the experience done through the user study, TagLab has been improved, and preliminary investigations suggest a further significant reduction in annotation times.
Main Aspects And Results Of Level 2 PSA For KNPP WWER-1000/B320

The PSA Level 2 for Kozloduy NPP (KNPP) is an update of a previous study with wider scope of analysis. The previous study represented the status of the units up to 2001. The current PSA Level 2 is based on the PSA Level 1 and represents the status of the units up to 2007 year concerning the systems and procedures included in PSA level 1 and status up to 2011 for the systems and procedures (e.g. SAMG) related to containment and severe accident aspects. The study is performed after the PSA level 1 has been finished and approved by the customer. Compare to the older analysis all modes of operation for analyzed in PSA level 1 event groups as well Spent Fuel Pool accidents are investigated. The analysis consists of both deterministic and probabilistic analysis. As part of deterministic analysis a contemporary containment strength analysis and accident progression deterministic analysis using the last version of MELCOR are performed. The probabilistic analysis contains of two parts: Interface PSA and CET are calculated using Riskspectrum program code. Two types of models for CET have been developed: one for conditional probabilities calculations and a set of simplified CET’s for each PDS group – for integral model. The purpose of the first model is to be able to perform quick calculations and for sensitivity analyses as well. The simplified CET’s are used for integral calculation of the model. Source Term analysis is mainly based on the MELCOR analyses results. All characteristics of the releases have been defined, i.e. location, mass, energy of radionuclide groups and activity of the released isotopes (most important are reported only). The main goals of the study are to analyze the status of the containment, systems designed to prevent containment failure and operator action required under the severe accident and to give quantitative assessment of the risk parameter LERF (Large Early Release Frequency). This report will present main results, finding and conclusions of the analysis. Based on the results, the effectiveness of the current means and SAMG are assessed qualitatively.
An Analytical Model for Predicting Drag Resistance Caused by Internal Waves in a Stably Stratified Open Channel Flow

This study explores optimal control via modelling of an open-channel flow, primarily pertaining to the general problem of drag resistance associated with gravity waves in a stably stratified fluid, and the influence of gravity waves on offshore structures. The study applies the results reported in the existing literature to gravity gradient waves using essentially both analytical and numerical techniques, and establishes, among others, detailed characterization of drag resistance effects for application to free and forced conditions in open channel flow.
Wheel slip control of road vehicles via switched second order sliding modes

Longitudinal wheel slip control is a crucial problem in automotive systems, as it it is the basis for traction, braking and stability control. Slip dynamics get faster, and thus more difficult to govern for the rider, as speed decreases: hence, at low speed one would willingly lose tracking performance in exchange for increased safety. To achieve this, we propose a novel Switched Second Order Sliding Mode (S-SOSM) control strategy, which allows enhancing the closed-loop performance and to tune them to the current working condition. The validity of the approach is on traction control of two-wheeled vehicles.
Modeling of Tunneling Currents Through HfO and HfO Al O Gate Stacks

We present a physical modeling of tunneling currents through ultrathin high- gate stacks, which includes an ultrathin interface layer, both electron and hole quantization in the substrate and gate electrode, and energy band offsets between high- di- electrics and Si determined from high-resolution XPS. Excellent agreements between simulated and experimentally measured tun- neling currents have been obtained for chemical vapor deposited and physical vapor deposited HfO with and without NH -based interface layers, and ALD Al O gate stacks with different EOT and bias polarities. This model is applied to more thermally stable HfO Al O gate stacks in order to project their scala- bility for future CMOS applications. Index Terms—CMOS scaling, HfO , HfO Al O , high- gate dielectric stacks, tunneling current.
Pengaruh Pengendalian Diri, Literasi serta Perilaku Keuangan Terhadap Kesejahteraan Keuangan

The purpose of this study is to determine whether the financial well-being of financial management student at Tarumanagara University can be measured through financial behavior, where the level of financial behavior in this study is seen based on self-control and financial literacy. This research uses primary data through the process of collecting data by sharing questionnaires online using google forms questionnaire with a non-probability sampling method of the type of convenience sampling with a total of 150 financial management student at Tarumanagara University. The data analysis technique used is Structural Equation Modeling (SEM) with Smart-PLS program version 3.2. 8. The results of this study show that there is a positive and significant influence between self-control, literacy, and financial behavior towards financial well-being. Tujuan penelitian ini adalah untuk mengetahui apakah kesejahteraan keuangan mahasiswa manajaemen keuangan Universitas Tarumanagara dapat diukur melalui perilaku keuangannya, dimana tingkat perilaku keuangan dalam penelitian ini dilihat berdasarkan pengendalian diri dan literasi keuangan seseorang. Penelitian ini menggunakan data primer melalui proses pengumpulan data dengan cara membagikan kuesioner secara online menggunakan google form dengan metode non-probability sampling berjenis convenience sampling dengan total 150 responden mahasiswa manajemen keuangan Universitas Tarumanagara. Teknik analisis data yang digunakan adalah Structural Equation Modeling (SEM) dengan program Smart-PLS versi 3.2. 8. Hasil dari penelitian ini menunjukkan bahwa terdapat pengaruh positif dan signifikan antara pengendalian diri, literasi, serta perilaku keuangan terhadap kesejahteraan keuangan.
Application of optimal polynomial controller to a benchmark problem

In this paper, we investigate the performance of optimal polynomial control for the vibration suppression of a benchmark problem; namely, the active tendon system. The optimal polynomial controller is a summation of polynomials of different orders, i.e., linear, cubic, quintic, etc., and the gain matrices for different parts of the controller are calculated easily by solving matrix Riccati and Lyapunov equations. A Kalman-Bucy estimator is designed for the on-line estimation of the states of the design model. Hence, the Linear Quadratic Gaussian (LQG) controller is a special case of the current polynomial controller in which the higher-order parts are zero. While the percentage of reduction for displacement response quantities remains constant for the LQG controller, it increases with respect to the earthquake intensity for the polynomial controller. Consequently, if the earthquake intensity exceeds the design one, the polynomial controller is capable of achieving a higher reduction for the displacement response at the expense of control efforts. Such a property is desirable for the protection of civil engineering structures because of the inherent stochastic nature of the earthquake.
How Does Psychological Empowerment Affect Knowledge Management Improvement in Organizations? A Study of Cause-and-Effect Relationship Using the Fuzzy DEMATEL Method

The present article aims to investigate the cause-and-effect relationship between the employees’ psychological empowerment (PE) and dimensions of knowledge management (KM) in an oil company, using the fuzzy decision-making trial and evaluation laboratory method. The study population consists of oil company experts. The sample size is determined based on the theoretical saturation limit. The present findings show that PE is the strongest causative factor with significant effects on knowledge creation (KC) and knowledge dissemination (KD). Among the KM dimensions, the most influential factors are the dimensions of KC, knowledge application, and knowledge capture (KCA). Of all KM dimensions, knowledge refinement is the most influential. The KC, in addition to being the most important dimension of KM affected by PE, is also found to influence all other dimensions of KM; this indicates its key role as a starting point in the process of KM. Considering the reciprocal effects of PE and the two dimensions of KM (KC and KD), it is important to pay attention to KC when developing a KM system. Importantly, the present findings show that PE and KM have an interdependent interaction. In other words, not only by improving the employees’ PE, the organizations can accelerate the KM process, but also by improving the KM systems, they may increase their employees’ PE. Based on the sensitivity analyses, our proposed method is as efficient as the available methods, such as interpretive structural modeling and Bayesian best-worst method.
Predictability of Root Movements Using Virtual Root Setup in a Patient With Periodontal Disease Treated With Clear Aligners

The aim of the study was to show a case with a midline diastema in a patient with high periodontal risks and gingival recessions treated with clear aligners. The objective was to predict and quantify root movements using a dedicated software that extrapolates data from the Cone Beam Computed Tomography (CBCT). A 31-year-old female with a mandibular midline diastema asked for an aesthetic treatment. She had vertical bone loss on the lower central incisors, so a CBCT was necessary in order to plan the root movements. The purpose of the treatment was to avoid an uncontrolled tipping of the incisors and, therefore, a vestibular movement of the roots, which could cause serious periodontal problems. At the end of the treatment, the complete closure of the diastema and the radiographic healing of the vertical bone loss between mandibular central incisors were achieved. The superimpositions with the virtual setup demonstrated predictability of root movements of 76%.
Study on Environmental Conditions of Seed
Germination and Seedling Growth of Invasive
Plant Amaranthus palmeri S. Watson

To determine germination, seedling growth and vigor indices from the aspects of germination temperature, light, moisture, salt environment, and artificial aging, the germination test was performed on Amaranthus palmeri seeds under different environmental conditions. It was found that: i. Amaranthus palmeri seeds were capable of germinating at 15-40ºC, and germination rate (GR) increased as temperature increased; ii. Seedling growth rate was highest at 25ºC; iii. Light delayed seed germination and inhibited seedling growth; iv. Seed germination was inhibited when water potential was lower than -0.32 MPa, while a very low GR was detected when water potential was lower than -1.10 MPa; v. Seed GR was inhibited at 4 g/L salt levels, while seedling growth rates were strongly inhibited at 8 g/L salinity; vi. Seed vigor was inhibited after artificial aging for 6 days, and all growth indices were inhibited after artificial aging for 15 days, however, germinability was 69%. Amaranthus palmeri exhibited a higher risk of invasion in areas with hot and humid climates as well as with low degrees of soil salinization. Exposure of seeds to light can reduce the competitiveness of the Amaranthus palmeri population and seeds preserved in higher soil temperature can shorten their life.
Seismic design requirements in a Mexican 1976 code

In December 1976 the new version of Mexico's Federal District Building Code was officially approved. It differs from previous versions in several matters: design values are based on a probabilistic assessment of seismicity, on a more careful and better substantiated consideration of wave filtering through the peculiar lacustrine soil and on approximate design optimization; ductility receives explicit treatment; and there are significant improvements in the treatment of overturning moments, torques, etc. The paper discusses these matters and contains information on code evolution in Mexico and on the implementation in the Federal District.
Wrinkle localization in membrane structures patched with macro-fiber composite actuators: Inflatable space antenna applications

Kapton membranes have received much attention in the fabrication of space inflatable antenna technology in the recent years. While prized for their light designs, their delicate nature makes them susceptible to various kinds of disturbances in space environments that result in structural vibrations or wrinkle formation. In this regard, macro-fiber composite actuators have been commonly used for vibration control of these membrane structures. However, wrinkle control remains one of the major challenges in their designs. Some of the research in the previous literature has attempted to quantify the wrinkle behavior of these membranes when subject to boundary forces. Yet, in all the previous study, the effects of macro-fiber composite patches, a major compartment of these structures, on their wrinkle formation have been ignored. The presented article studies the effects of these patches on localization of wrinkles and their patterns in Kapton membranes. The numerical results are validated experimentally using photogrammetry techniques. Two membrane configurations are studied: one considers rectangular membranes with clamped-sliding boundary conditions and the other pertains to square membranes with symmetric corner loadings.
Cluster of High-Powered Racks Within a Raised-Floor Computer Data Center: Effect of Perforated Tile Flow Distribution on Rack Inlet Air Temperatures

This paper focuses on the effect on inlet rack air temperatures as a result of maldistribution of airflows exiting the perforated tiles located adjacent to the fronts of the racks. The flow distribution exiting the perforated tiles was generated from a computational fluid dynamics (CFD) tool called Tileflow (Trademark of Innovative Research, Inc.). Both raised floor heights and perforated tile free area were varied in order to explore the effect on rack inlet temperatures. The flow distribution exiting the perforated tiles was used as boundary conditions to the above floor CFD model. A CFD model was generated for the room with electronic equipment installed on a raised floor. Fourty racks of data processing (DP) equipment were arranged in rows in a data center cooled by chilled air exhausting from perforated floor tiles. The chilled air was provided by four A/C units placed inside a room 12.1 m wide × 13.4 m long. Since the arrangement of the racks in the data center was symmetric only one-half of the data center was modeled. The numerical modeling for above the raised floor was performed using a commercially available finite control volume computer code called Flotherm (Trademark of Flomerics, Inc.). The flow was modeled using the k-e turbulence model. Results are displayed to provide some guidance on the design and layout of a data center. © 2003 ASME
Effect of Institutional Trust on Consumers’ Health and Safety Perceptions and Repurchase Intention for Traceable Fresh Food

Numerous food safety incidents have gained public attention and motivated consumers to seek safer and healthier products. Some governments have responded by enacting legislation to regulate the traceability of agricultural products and enhance food safety. To elucidate factors that affect consumers’ health and safety perceptions and repurchase intention for certified traceable fresh food, this study applied institutional trust theory to explore the effects of institutional trust (i.e., trust in government, certification organizations, producers, and retailers) on consumers’ food safety and health perceptions and repurchase intention. This study was conducted in Taiwan and enrolled 393 consumers who purchased certified traceable fresh food as survey participants. Structural equation modeling and multiple and stepwise regression analysis were performed for data analysis. The results indicated that trust in government, certification organizations, food producers, and food retailers was positively related to food safety perception; trust in certification organizations, food producers, and food retailers directly influenced food healthiness perception, whereas trust in government did not have a direct influence. Furthermore, trust in certification organizations and food producers influenced repurchase intention, whereas trust in government and food retailers did not. Based on these results, the current study provides some practical suggestions for traceable fresh food marketers to use institutional trust to improve consumers’ food health and safety perceptions and repurchase intention.
Host species is linked to pathogen genotype for the amphibian chytrid fungus (Batrachochytrium dendrobatidis)

Host-pathogen specificity can arise from certain selective environments mediated by both the host and pathogen. Therefore, understanding the degree to which host species identity is correlated with pathogen genotype can help reveal historical host-pathogen dynamics. One animal disease of particular concern is chytridiomycosis, typically caused by the global panzootic lineage of the amphibian chytrid fungus (Batrachochytrium dendrobatidis, Bd), termed the Bd-GPL. This pathogen lineage has caused devastating declines in amphibian communities around the world. However, the origin of Bd-GPL and the fine-scale transmission dynamics of this lineage have remained a mystery. This is especially the case in North America where Bd-GPL is widespread, but disease outbreaks occur sporadically. Herein, we use Bd genetic data collected throughout the United States from amphibian skin swab and cultured isolate samples to investigate Bd genetic patterns. We highlight two case studies in Pennsylvania and Nevada where Bd-GPL genotypes are strongly correlated with host species identity. Specifically, in some localities bullfrogs (Rana catesbeiana) are infected with Bd-GPL lineages that are distinct from those infecting other sympatric amphibian species. Overall, we reveal a previously unknown association of Bd genotype with host species and identify the eastern United States as a Bd diversity hotspot and potential ancestral population for Bd-GPL.