Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical application of stereolithographic surgical guides for implant placement: preliminary results.

BACKGROUND The success of implant-supported restorations requires detailed treatment planning, which includes the construction of a surgical guide. Recently, computer-aided rapid prototyping has been developed to construct surgical guides in an attempt to improve the precision of implant placement. The aim of the present study was to evaluate the match between the positions and axes of the planned and placed implants when a stereolithographic surgical guide is employed. METHODS Six surgical guides used in four patients (three women, one man; age from 23 to 65 years old) were included in the study and 21 implants were placed. A radiographic template was fabricated and computer-assisted tomography (CT) was performed. The virtual implants were placed in the resulting 3-dimensional image. Using a stereolithographic machine, liquid polymer was injected and laser-cured according to the CT image data with the planned implants, generating three surgical guides, with increasing tube diameters corresponding to each twist drill diameter (2.2, 3.2, and 4.0 mm), for each surgical area. During the implant operation, the surgical guide was placed on the jawbone and/or the teeth. After surgery, a new CT scan was taken. Software was used to fuse the images of planned and placed implants, and the locations and axes were compared. RESULTS On average, the match between the planned and the placed implant axes was within 7.25 degrees +/- 2.67 degrees ; the differences in distance between the planned and placed positions at the implant shoulder were 1.45 +/- 1.42 mm, and 2.99 +/- 1.77 mm at the implant apex. In all patients, a greater distance was found between the planned and placed positions at the implant apex than at the implant head. CONCLUSIONS Clinical data suggest that computer-aided rapid prototyping of surgical guides may be useful in implant placement. However, the technique requires improvement to provide better stability of the guide during the surgery, in cases of unilateral bone-supported and non-tooth-supported guides. Further clinical studies, using greater number of patients, are necessary to evaluate the real impact of the stereolithographic surgical guide on implant therapy.
Typologies for Effectiveness: Characteristics of Effective Teachers in Urban Learning Environments.

Despite increasing diversity in U.S schools, the topic of teacher effectiveness remains to be dominated by a universal narrative. This study applies critical theory, critical race theory, and culturally responsive pedagogy to position teacher effectiveness as contextual to urban schools and relational to the asset-based view of the learner. This study employs a phenomenological design to gather the shared experiences of nine teacher educators with teaching and service experiences in urban schools. The findings produce typologies of effective and ineffective teachers, identifies characteristics of effective urban teachers, and details the style responsiveness of effective teachers in urban schools. This study concludes with recommendations for school leaders and teacher educators to use the findings to impact the effectiveness of in-service and pre-service teachers for urban schools.
Agroclimatic information system for Mexico-Central America

An information system was obtained consisting of monthly, seasonal and annual raster images, corresponding to climatic and agroclimatic parameters for the Mexico-Central America region. This achievement involved the creation of daily and monthly climatic data bases for the period 1961-2010, review of information to eliminate aberrant data and estimate lost data; geographic interpolation using the Anusplin method to generate monthly raster images of basic climatic variables (maximum temperature, minimum temperature, precipitation), map algebra and spatial analysis to generate agroclimatic parameters derived from the basic climatic variables; use of climate information from a network of automated agrometeorological stations to estimate parameters adjusted to the reference method; estimation of agroclimatic parameters through indirect methods and use of information derived from data assimilation models for the generation of complementary agroclimatic parameters. The results showed the obtaining of an information system composed of raster images that represent the average value for the 1961-2010 period of 144 monthly variables (maximum temperature Tx, minimum temperature Ti, average temperature Tm, thermal range RT, thermal sum ST, cumulative development day degrees GDD, photoperiod F, precipitation P, potential evapotranspiration ETP, humidity index IH, solar radiation Rs and relative humidity RH); 41 seasonal variables corresponding to the growing season (previous variables plus duration of growing season DEC, and number of wet months MH= P≥ ETP); 13 annual variables (same monthly variables plus number of wet months) and the variable altitude. The raster images are referenced in the WGS system, can be used in any geographic information system (SIG) and have a resolution of 30” arc. The system is potentially useful to characterize the variation of agroclimatic conditions in Mexico and Central America.
Studies with inagglutinable erythrocyte counts. III. Kinetics of erythrocyte destruction in human beings.

Many investigators (1-27) have recognized that the transfusion of biologically tagged erythrocytes and the subsequent identification and enumeration of the donor's cells in the circulation of the recipient by differential agglutination affords a valuable method of studying either the fate of the donor's abnormal cells in a normal recipient or the disappearance of normal cells in the diseased person. Most studies, however, have merely indicated the time elapsing between transfusion and the disappearance of the last detectable inagglutinable cells from the circulation. A few attempts (5, 9, 16, 21 ) have been made to analyze the disappearance curves of donor's cells, but these have dealt only with developing equations which fit the curves without any inferences as to the kinetics. If counts of inagglutinable cells are sufficiently accurate and frequent during an experiment on transfusion survival, the data are susceptible to analysis by well known methods of analytic geometry and calculus so that the kinetics of erythrocyte destruction may be inferred. The present paper deals with such an approach. In employing cell counts from transfusion survival experiments at least two assumptions must be made: 1) the total blood volume of the recipient, which serves as the diluent for the donor's cells, is constant or frequently returns to a steady state during the three or four months of the study and, 2) no appreciable loss of tagged red cells occurs from hemorrhage.
NS-DBSCAN: A Density-Based Clustering Algorithm in Network Space

Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. It plays an essential role in density distribution identification, hot-spot detection, and trend discovery. Spatial clustering algorithms in the Euclidean space are relatively mature, while those in the network space are less well researched. This study aimed to present a well-known clustering algorithm, named density-based spatial clustering of applications with noise (DBSCAN), to network space and proposed a new clustering algorithm named network space DBSCAN (NS-DBSCAN). Basically, the NS-DBSCAN algorithm used a strategy similar to the DBSCAN algorithm. Furthermore, it provided a new technique for visualizing the density distribution and indicating the intrinsic clustering structure. Tested by the points of interest (POI) in Hanyang district, Wuhan, China, the NS-DBSCAN algorithm was able to accurately detect the high-density regions. The NS-DBSCAN algorithm was compared with the classical hierarchical clustering algorithm and the recently proposed density-based clustering algorithm with network-constraint Delaunay triangulation (NC_DT) in terms of their effectiveness. The hierarchical clustering algorithm was effective only when the cluster number was well specified, otherwise it might separate a natural cluster into several parts. The NC_DT method excessively gathered most objects into a huge cluster. Quantitative evaluation using four indicators, including the silhouette, the R-squared index, the Davis–Bouldin index, and the clustering scheme quality index, indicated that the NS-DBSCAN algorithm was superior to the hierarchical clustering and NC_DT algorithms.
Market Ambiguity and Individual Investor Information Demand

Abstract We examine whether ambiguity in the market leads to an increase in information demand by individual investors. Drawing on the asset-pricing model proposed by Mele and Sangiorgi (2015), which incorporates market ambiguity, we measure individual information demand using daily Google searches and measure market ambiguity using a metric based on the market trades of institutional investors. We find that individual investors increase their information demand during periods of greater market ambiguity. We also provide evidence that information demand from individual investors spikes around earnings announcement days primarily when market uncertainty is driven by net-selling activity. Overall, these results suggest that the disagreement among institutional investors either represents uncertainty or contributes to the uncertainty related to a stock, leading to increased demand for information from individual investors.
Long‐term outcome of 151 cases of anorexia nervosa

ABSTRACT One hundred and fifty‐one patients (140 females ‐ 11 males) with anorexia nervosa (AN) from three departments (child psychiatry, psychiatry, and internal medicine) were re‐examined 4–22 years (average 12.5 years) after their first contact with the Rigshospital in Copenhagen. During the years 1960–76 the number of referrals was on the increase, and relatively more patients were treated in the psychiatric departments at the end than at the beginning of the period. Mean age was 16.6 years at onset, 19.0 years at primary contact. Mean weight loss was 32 %. Mean duration of treatment was 12 months. Differences between the three departments concern especially age, sex, and duration of treatment. Mean age at follow‐up was 31.0 years (range 16–63 years) for surviving probands. Follow‐up information originated from semi‐structured personal interviews (in 80 % of surviving probands) together with register data on all probands, supplemented by extensive hospital data. Nine patients (6 %), including six who committed suicide, died on the average 7.3 years after primary contact (average age 27.1 years). The mortality rate was 0.5 % per year. At follow‐up one fourth of the surviving probands had AN and one fourth suffered from other psychiatric disorders, while one half were free from mental illness. There were no significant differences in outcome between the three departments. As a whole, the group experienced a social decline. It is concluded that a substantial part of this group of AN patients had a poor prognosis with a tendency towards chronicity, despite relatively long and intensive treatment, but, on the other hand, about one half of the probands seemed to be healthy and well functioning.
Wind farm active power dispatch for output power maximizing based on a wind turbine control strategy for load minimizing

Inclusion of the wake effect in the wind farm control design (WF) can increase the total captured power by wind turbines (WTs), which is usually implemented by derating upwind WTs. However, derating the WT without a proper control strategy will increase the structural loads, caused by operation in stall mode. Therefore, the WT control strategy for derating operation should be considered in the attempt at maximizing the total captured power while reducing structural loads. Moreover, electrical power loss on the transmission system inside a WF is also not negligible for maximizing the total output power of the WF. In this paper, an optimal active power dispatch strategy based on a WT derating strategy and considering the transmission loss is proposed for maximizing the total output power. The active power reference of each WT is chosen as the optimization variable. A partial swarm optimizing algorithm is used for solving the problem. Simulation results show the effectiveness of the proposed strategy.
Tweeties Squabbling: Positive and Negative Results in Applying Argument Mining on Social Media

The problem of understanding the stream of messages exchanged on social media such as Facebook and Twitter is becoming a major challenge for automated systems. The tremendous amount of data exchanged on these platforms as well as the specific form of language adopted by social media users constitute a new challenging context for existing argument mining techniques. In this paper, we describe an ongoing work towards the creation of a complete argument mining pipeline over Twitter messages: (i) we identify which tweets can be considered as arguments and which cannot, (ii) over the set of tweet-arguments, we group them by topic, and (iii) we predict whether such tweets support or attack each other. The final goal is to compute the set of tweets which are widely recognized as accepted, and the different (possibly conflicting) viewpoints that emerge on a topic, given a stream of messages.
CHAPTER 4 Hydraulic architecture of Pinus halepensis , P . pinea and Tetraclinis articulata in a dune ecosystem of Eastern Spain

The summers of 1994 and, to a lesser extent, 1998 were particularly dry in eastern Spain. As a result, several plant species were severely affected. We estimated drought-induced mortality in populations of three pine species that co-exist in the study area (Pinus nigra , P. pinaster and P. sylvestris). Hydraulic conductivity, vulnerability to xylem embolism, and tree-ring width were also measured for each population. Results showed that mortality only affected P. sylvestris, and that there were significant differences between two populations of this species. Although maximum hydraulic conductivity and vulnerability to embolism were almost identical among species and populations, they differed in other aspects of their hydraulic architecture. In particular: (1) hydraulic conductivity per unit of leaf area was lower in the most acutely affected P. sylvestris population. Lower leaf-specific conductivity causes higher water potential gradients and, hence, higher levels of embolism (if vulnerabilities are alike). We suggest that this difference was the main cause of the observed mortality pattern. (2) P. pinaster showed higher water-use efficiency (inferred from δC data) than the other two species. Regarding the response to drought at the population level, the most affected P. sylvestris population slightly increased growth after the 1994 drought, which we relate to a relaxation of competition among surviving individuals. The important drought-induced mortality observed in the study area suggests that a drier climate (as predicted by climate change simulations) may endanger several P. sylvestris populations in the Mediterranean basin.
Why tenure ?

Academic research is a public good whose production is supported by the tuitionpaying students that a faculty’s research accomplishments attract. A professor’s spot contribution to the university’s revenues thus depends not on her spot research production, but rather on her cumulative research record. We show that a profitmaximizing university will apply a ‘high’ minimum retention standard to the production of a junior professor who has no record of past research, but a ‘zero’ retention standard to the spot production of a more senior professor whose background includes accomplishments sufficient to have cleared the ‘high’ probationary hurdle.
Effect of music interventions on anxiety during labor: a systematic review and meta-analysis of randomized controlled trials

Background Anxiety is commonly experienced during the delivery process and has shown to have adverse effects on maternal and infant health outcomes. Music interventions tend to reduce the effects of anxiety in diverse populations, are low cost, are easily accessible, and have high acceptability. The aim of this review and meta-analysis was to assess the effectiveness of music interventions in reducing anxiety levels among women during labor. Methods Seven databases from inception to the end of December, 2018, without any language or time restriction including Embase, PubMed, the Cochrane Library, the Cumulative Index to Nursing and Allied Health, PsycINFO, Airiti Library, and PerioPath: Index to Taiwan Periodical Literature were searched using key terms related to pregnancy, anxiety, and music. Randomized controlled trials that assessed the effect of music during labor and measured anxiety levels as an outcome were included. Meta-analyses were conducted to assess anxiety reduction following a music intervention compared to that after placebo treatment. Results A total of 14 studies that investigated a total of 1,310 participants were included in this review. The meta-analyses indicated that those in the intervention group had a significant decrease in anxiety scores (standardized mean difference = −2.40, 95% confidence interval (CI) [−3.29 to −1.52], p < 0.001; I2 = 97.66%), heart rate (HR) (difference in means = −3.04 beats/min, 95% CI [−4.79 to −1.29] beats/min, p = 0.001; I2 = 0.00%), systolic blood pressure (SBP) (difference in means = −3.71 mmHg, 95% CI [−7.07 to −0.35] mmHg, p = 0.031; I2 = 58.47%), and diastolic blood pressure (DBP) (difference in means = −3.54 mmHg, 95% CI [−5.27 to −1.81] mmHg, p < 0.001; I2 = 0.00%) as compared to the women in the control group. Conclusions Music interventions may decrease anxiety scores and physiological indexes related to anxiety (HR, SBP, and DBP). Music interventions may be a good non-pharmacological approach for decreasing anxiety levels during labor.
Identification of Novel Short Peptide Inhibitors of Soluble 37/48 kDa Oligomers of Amyloid β42

Since the soluble oligomers of 42-residue amyloid β (Aβ42) might be neurotoxins at an early stage of Alzheimer’s disease (AD), inhibition of soluble Aβ42 oligomerization should be effective in the treatment of AD. We have found by phage display that a 7-residue peptide, SRPGLRR, exhibited inhibitory activity against soluble 37/48 kDa oligomers of Aβ42. In the present study, we newly prepared 3- and 4-residue random peptides libraries and performed pannings of them against soluble Aβ42 to search for important factors in the inhibition of Aβ42 oligomerization. After the fifth round, arginine-containing peptides were enriched in both libraries. SDS–PAGE and size-exclusion chromatography indicated that the inhibitory activities of 4-residue peptides against the soluble 37/48 kDa oligomers of Aβ42 were higher than those of the 3-residue peptides, and RFRK exhibited strong inhibitory activity as well as SRPGLRR. These short peptides should be useful for the suppression of soluble Aβ42 oligomer formation.
Using Machine Reading to Understand Alzheimer’s and Related Diseases from the Literature

Abstract Purpose This paper aims to better understand a large number of papers in the medical domain of Alzheimer’s disease (AD) and related diseases using the machine reading approach. Design/methodology/approach The study uses the topic modeling method to obtain an overview of the field, and employs open information extraction to further comprehend the field at a specific fact level. Findings Several topics within the AD research field are identified, such as the Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS), which can help answer the question of how AIDS/HIV and AD are very different yet related diseases. Research limitations Some manual data cleaning could improve the study, such as removing incorrect facts found by open information extraction. Practical implications This study uses the literature to answer specific questions on a scientific domain, which can help domain experts find interesting and meaningful relations among entities in a similar manner, such as to discover relations between AD and AIDS/HIV. Originality/value Both the overview and specific information from the literature are obtained using two distinct methods in a complementary manner. This combination is novel because previous work has only focused on one of them, and thus provides a better way to understand an important scientific field using data-driven methods.
Crafting A Panoptic Face Presentation Attack Detector

With the advancements in technology and growing popularity of facial photo editing in the social media landscape, tools such as face swapping and face morphing have become increasingly accessible to the general public. It opens up the possibilities for different kinds of face presentation attacks, which can be taken advantage of by impostors to gain unauthorized access of a biometric system. Moreover, the wide availability of 3D printers has caused a shift from print attacks to 3D mask attacks. With increasing types of attacks, it is necessary to come up with a generic and ubiquitous algorithm with a panoptic view of these attacks, and can detect a spoofed image irrespective of the method used. The key contribution of this paper is designing a deep learning based panoptic algorithm for detection of both digital and physical presentation attacks using Cross Asymmetric Loss Function (CALF). The performance is evaluated for digital and physical attacks in three scenarios: ubiquitous environment, individual databases, and cross-attack/cross-database. Experimental results showcase the superior performance of the proposed presentation attack detection algorithm.
Integral equations and sophisticated moment method in the scattering of the terahertz plane waves of two polarizations by a grating of graphene strips

The scattering and absorption of the H and E-polarized plane waves by a flat grating of free standing graphene strips is studied in the THz frequency range. We use the Kubo theory to characterize the surface impedance of graphene and reduce the boundary-value problems to the equivalent integral equations, hyper-singular on the H-case and log-singular in the E-case. Then we discretize them using the projection to the set of orthogonal polynomials; in the H-case these polynomials are chosen to perform the analytical regularization. In each case this technique guarantees fast convergence and controlled accuracy of computations. Reflectance, transmittance, and absorbance of graphene-strip gratings are studied as a function of various parameters. In the H-polarization regime, we find the surface-plasmon resonances and small-scale Rayleigh anomalies. In the E-polarization case, there are no plasmons however the Rayleigh anomalies become well observable. These results can be considered as reference ones opening way to the accurate modeling of tunable absorbers and frequency selective surfaces based on the periodically patterned graphene layers.
Hybrid coupler for 6.78 MHz desktop wireless power transfer applications with stable open‐loop gain

The open-loop gain of capacitive power transfer (CPT) circuit, especially for applications like wireless charging of laptop or keyboard, is sensitive to the changes of coupling capacitance, which makes the regulating of output voltage and output power difficult. Hybrid coupler has been proved to be able to combine the advantages of both inductive power transfer (IPT) and CPT. In this study, a hybrid coupler is designed with the aim of keeping a stable open-loop gain when the coupling capacitance changes. The structure as well as the operation principles of the hybrid coupler is explained firstly. Then, the open-loop gains of CPT, IPT and hybrid wireless power transfer (HWPT) are derived and followed by a simplified design guideline of the whole HWPT system using the proposed hybrid coupler. Finally, the proposed coupler is verified with a 40 W, 6.78 MHz experimental prototype.