Study of the Properties of CdS:Al (R = [Al3+]/[Cd2+] = 0.30, 0.40, 0.50) Thin Films Grown by the CBD Method in an Ammonia-Free System.

CdS:Al thin films were fabricated on a glass substrate using the CBD method. The effect of aluminum incorporation on the structural, morphological, vibrational, and optical properties of CdS thin layers was investigated by X-ray diffraction (XRD), Raman spectroscopy (RS), atomic force microscopy (AFM), scanning electron microscopy (SEM), and UV-visible (UV-vis) and photoluminescence (PL) spectroscopies. XRD analysis of deposited thin films confirmed a hexagonal structure with a preferred (002) orientation in all samples. The crystallite size and surface morphology of the films are modified with aluminum content. Raman spectra exhibit fundamental longitudinal optical (LO) vibrational modes and their overtones. Optical properties were studied for each thin film. Here, it was observed that the optical properties of thin films are affected by the incorporation of aluminum into the CdS structure.

Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors.

Multiple fault identification in induction motors is essential in industrial processes due to the high costs that unexpected failures can cause. In real cases, the motor could present multiple faults, influencing systems that classify isolated failures. This paper presents a novel methodology for detecting multiple motor faults based on quaternion signal analysis (QSA). This method couples the measured signals from the motor current and the triaxial accelerometer mounted on the induction motor chassis to the quaternion coefficients. The QSA calculates the quaternion rotation and applies statistics such as mean, variance, kurtosis, skewness, standard deviation, root mean square, and shape factor to obtain their features. After that, four classification algorithms are applied to predict motor states. The results of the QSA method are validated for ten classes: four single classes (healthy condition, unbalanced pulley, bearing fault, and half-broken bar) and six combined classes. The proposed method achieves high accuracy and performance compared to similar works in the state of the art.

Entrapment of diagnostic catheter within Advisor HD grid mapping catheter.

The potential for catheter entanglement with the HD Grid mapping catheter is explicitly stated in the manufacturer's product manual. A case of an entrapped 6 French quadripolar diagnostic catheter within an HD Grid mapping catheter is presented. We discuss the diagnosis, management, and resolution of this complication in our patient. The patient's arrhythmia was successfully eliminated, and no vascular complication in the postprocedural setting nor arrhythmia recurrence at follow-up were observed. Strategies to prevent and safely manage this complication, while salvaging access, are also discussed.

Primary Maxillary Reconstruction With Fibula Flap and Dental Implants: A Comparative Study Between Virtual Surgical Planning and Standard Surgery in Class IIC Defects.

PURPOSE: Oncological patients who undergo bilateral subtotal maxillectomies develop functional and esthetic sequelae that require immediate reconstruction. The purpose of this study is to evaluate the primary reconstruction of maxillary defects with fibula flap and dental implants assisted by virtual surgical planning (VSP) and to assess the postoperative outcomes compared with standard surgery. MATERIAL AND METHODS: A retrospective study was designed between January 2016 and April 2020 with 12 oncologic patients who underwent subtotal bilateral maxillectomy. Six consecutive patients were treated by standard surgical procedure (SS) at the beginning of the study. In 2018, the VSP was implemented, and 6 consecutive patients were treated using this technique. All patients were rehabilitated with Ticare implants and implant prostheses. Anatomic position of the bone, bone apposition, change of vertical distance, and horizontal shift, the operative and ischemia time, the esthetic results, and the functional rehabilitation were evaluated and compared. RESULTS: The position of the bone in anatomical position was 100% in the VSP group vs 66% in the SS group. The bone apposition was 100% in the VSP group vs 83.3%. The change of vertical distance and the horizontal shift were lower in the VSP group (P < .05). The ischemia time and operative time were shorter in the VSP group (P < .05). A good esthetic result was achieved in 83.3% in the VSP group vs 33.3% in the SS group; 81 dental implants and 1 zygomatic implant were placed. The success rate was 95% in the VSP group and 92.6% in the SS group. All patients were rehabilitated with implant prosthesis. CONCLUSIONS: VSP improves the accuracy of midface reconstruction (class IIC defect) with a better anatomical position of the bone, a higher rate of bone contact, and a lower change in vertical distance compared with standard surgery. It significantly improves the esthetic result, reduces ischemia time, and operation time.

Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA.

One of the most critical devices in an electrical system is the transformer. It is continuously under different electrical and mechanical stresses that can produce failures in its components and other electrical network devices. The short-circuited turns (SCTs) are a common winding failure. This type of fault has been widely studied in literature employing the vibration signals produced in the transformer. Although promising results have been obtained, it is not a trivial task if different severity levels and a common high-level noise are considered. This paper presents a methodology based on statistical time features (STFs) and support vector machines (SVM) to diagnose a transformer under several SCTs conditions. As STFs, 19 indicators from the transformer vibration signals are computed; then, the most discriminant features are selected using the Fisher score analysis, and the linear discriminant analysis is used for dimension reduction. Finally, a support vector machine classifier is employed to carry out the diagnosis in an automatic way. Once the methodology has been developed, it is implemented on a field-programmable gate array (FPGA) to provide a system-on-a-chip solution. A modified transformer capable of emulating different SCTs severities is employed to validate and test the methodology and its FPGA implementation. Results demonstrate the effectiveness of the proposal for diagnosing the transformer condition as an accuracy of 96.82% is obtained.

An Efficient Partition-Based Approach to Identify and Scatter Multiple Relevant Spreaders in Complex Networks.

One of the main problems in graph analysis is the correct identification of relevant nodes for spreading processes. Spreaders are crucial for accelerating/hindering information diffusion, increasing product exposure, controlling diseases, rumors, and more. Correct identification of spreaders in graph analysis is a relevant task to optimally use the network structure and ensure a more efficient flow of information. Additionally, network topology has proven to play a relevant role in the spreading processes. In this sense, more of the existing methods based on local, global, or hybrid centrality measures only select relevant nodes based on their ranking values, but they do not intentionally focus on their distribution on the graph. In this paper, we propose a simple yet effective method that takes advantage of the underlying graph topology to guarantee that the selected nodes are not only relevant but also well-scattered. Our proposal also suggests how to define the number of spreaders to select. The approach is composed of two phases: first, graph partitioning; and second, identification and distribution of relevant nodes. We have tested our approach by applying the SIR spreading model over nine real complex networks. The experimental results showed more influential and scattered values for the set of relevant nodes identified by our approach than several reference algorithms, including degree, closeness, Betweenness, VoteRank, HybridRank, and IKS. The results further showed an improvement in the propagation influence value when combining our distribution strategy with classical metrics, such as degree, outperforming computationally more complex strategies. Moreover, our proposal shows a good computational complexity and can be applied to large-scale networks.

Information retrieval using overlapping holograms with partial complementarity.

An information retrieval technique from superimposed holograms representing 2D and 3D objects using complementary fringes is presented. By adding two different computer generated holograms with quasi-complementarity information is possible to retrieve information at a specific depth.

Effects of Ultraviolet Photoactivation on Osseointegration of Commercial Pure Titanium Dental Implant After 8 Weeks in a Rabbit Model.

This study investigated whether a 6-Watt ultraviolet C-lamp was capable of producing photofunctionalization on commercial implants during a medium observation term of 8 weeks. A total of 20 implants were inserted in 5 New Zealand rabbits, with each animal receiving 2 implants per tibia (one photofunctionalized and one untreated), according to a previously established randomization sequence. All implants were inserted by a single surgeon following the manufacturer's instructions. Histological analysis was performed by an evaluator who was blinded to the treatment condition. After 8 weeks of healing, the 2 groups showed no statistically significant differences in terms of bone-to-implant contact. Compared to control implants, the photofunctionalized implants showed improved wettability and more homogenous results. Within the limits of the present study, the use of this 6-W ultraviolet C-lamp, for an irradiation time of 15 minutes at a distance of 15 cm, did not improve the percentages of bone-to-implant contact in rabbits at an osseointegration time of 8 weeks.

Anthropometric and clinical correlates of fat mass in healthy term infants at 6 months of age.

BACKGROUND: Body composition in infancy plays a central role in the programming of metabolic diseases. Fat mass (FM) is determined by personal and environmental factors. Anthropometric measurements allow for estimations of FM in many age groups; however, correlations of these measurements with FM in early stages of life are scarcely reported. The aim of this study was to evaluate anthropometric and clinical correlates of FM in healthy term infants at 6 months of age. METHODS: Healthy term newborns (n = 102) from a prospective cohort. Weight, length, skinfolds (biceps, triceps, subscapular and the sum -SFS-) and waist circumference (WC) were measured at 6 months. Body mass index (BMI) and WC/length ratio were computed. Type of feeding during the first 6 months of age was recorded. Air displacement plethysmography was used to asses FM (percentage -%-) and FM index (FMI) was calculated. Correlations and general linear models were performed to evaluate associations. RESULTS: Significant correlations were observed between all anthropometric measurements and FM (% and index)(p < 0.001). Exclusive/predominant breastfed infants had higher FM and anthropometric measurements at 6 months. Models that showed the strongest associations with FM (% and index) were SFS + WC + sex + type of feeding. CONCLUSIONS: Anthropometry showed good correlations with FM at 6 months of age. Skinfolds sum and waist circumference were the strongest anthropometric variables associated to FM. Exclusive/predominant breastfeeding was strongly associated with FM.

Energy/Area-Efficient Scalar Multiplication with Binary Edwards Curves for the IoT.

Making Elliptic Curve Cryptography (ECC) available for the Internet of Things (IoT) and related technologies is a recent topic of interest. Modern IoT applications transfer sensitive information which needs to be protected. This is a difficult task due to the processing power and memory availability constraints of the physical devices. ECC mainly relies on scalar multiplication (kP)-which is an operation-intensive procedure. The broad majority of kP proposals in the literature focus on performance improvements and often overlook the energy footprint of the solution. Some IoT technologies-Wireless Sensor Networks (WSN) in particular-are critically sensitive in that regard. In this paper we explore energy-oriented improvements applied to a low-area scalar multiplication architecture for Binary Edwards Curves (BEC)-selected given their efficiency. The design and implementation costs for each of these energy-oriented techniques-in hardware-are reported. We propose an evaluation method for measuring the effectiveness of these optimizations. Under this novel approach, the energy-reducing techniques explored in this work contribute to achieving the scalar multiplication architecture with the most efficient area/energy trade-offs in the literature, to the best of our knowledge.

Effect of Rotary Instrument Mineral Oil Lubricant on Osseointegration: A Randomized, Blinded Study in Rabbits.

The mechanisms of early failures in dental implant osseointegration are unclear. A possible cause of low levels of bone formation is lubricant contamination on implants during insertion. To explore the impact of lubricant contamination on dental implants, we used 5 New Zealand rabbits and inserted 2 implants per tibia in each animal for a total of 4 implants per animal (20 implants in total). In general, bicorticalization was achieved. The first implant was placed as suggested by the manufacturer with no lubricant used (control). The second implant was placed using a freshly lubricated contra-angle handpiece, which was used only for the test implants. Implant allocation was randomized, and the examining histologist was blinded to the results. All implants were placed by the same surgeon. The animals were maintained in accordance with animal experimentation guidelines. None of the implants failed to osseointegrate. Moreover, no significant difference was observed between the test and control groups. Based on the results of this study, the use of rotary instrument mineral oil lubricant did not jeopardize the osseointegration of dental implants in New Zealand rabbits.

[Validación de la prueba de Tiras cómicas para evaluar la empatía en una muestra de población mexicana].

INTRODUCTION: Empathy is the ability of an individual to understand it from another cognitive and emotional point of view. Empathy is a complex that represents a retouch in its evaluation, so, it is necessary to have instruments validated in the Mexican population. OBJECTIVE: Validation of the Comic Strip Test to evaluate empathy. METHOD: Sampling for convenience, based on internal consistency, convergent validity with the Empathy coefficient, construct validity in the factorial analysis, and the ability to discriminate between subjects with lack of empathy (psychopathology) and the control subjects through a curve ROC. RESULTS: The comic strips test was evaluated in 86 controls, 19 patients with schizophrenia (Cronbach's alpha = 0.894). The correlation with the empathy coefficient was 0.88, with sensitivity of 81.3% and specificity of 38%. CONCLUSIONS: The Comic Strip Test was validated with parametric psychometric parameters.

ANTECEDENTES: La empatía es la capacidad de un individuo para entender al otro desde el punto de vista cognitivo y emocional. La empatía es un constructo complejo que representa un reto en su evaluación, por lo cual es necesario contar con instrumentos validados en población mexicana. OBJETIVO: Validación de la prueba de Tiras cómicas para evaluar empatía. MÉTODO: Muestreo por conveniencia, se midió la consistencia interna, la validez convergente con el coeficiente de empatía, la validez de constructo con análisis factorial y la capacidad de discriminar entre sujetos con déficit de empatía por psicopatología con controles por medio de una curva Receiver Operating Characteristic (ROC) por sus siglas en inglés. RESULTADOS: La escala de Tiras cómicas se evaluó en 86 controles, 19 pacientes con esquizofrenia, a de Cronbach = 0.894. La correlación con el coeficiente de empatía fue de 0.88, con una sensibilidad del 81.3% y la especificidad del 38%. CONCLUSIONES: Se validó la prueba de Tiras cómicas con adecuados parámetros psicométricos.

Validation of the Comic Strip Test to evaluate empathy in a Mexican population sample.

INTRODUCTION: Empathy is the ability of an individual to understand it from another cognitive and emotional point of view. Empathy is a complex that represents a retouch in its evaluation, so, it is necessary to have instruments validated in the Mexican population. OBJECTIVE: Validation of the Comic Strip Test to evaluate empathy. METHOD: Sampling for convenience, based on internal consistency, convergent validity with the Empathy coefficient, construct validity in the factorial analysis, and the ability to discriminate between subjects with lack of empathy (psychopathology) and the control subjects through a curve ROC. RESULTS: The comic strips test was evaluated in 86 controls, 19 patients with schizophrenia (Cronbach's alpha = 0.894). The correlation with the empathy coefficient was 0.88, with sensitivity of 81.3% and specificity of 38%. CONCLUSIONS: The Comic Strip Test was validated with parametric psychometric parameters.

Cone-Beam CT Assessment of the Position of the Medial Lingual Foramen for Dental Implant Placement in the Anterior Symphysis.

OBJECTIVES: To determine the position of the mandibular medial lingual foramen with cone-beam CT (CBCT) 3D imaging modalities when implants are to be placed in the anterior symphysis of the mandible. MATERIALS AND METHODS: A total of 111 CBCTs were considered acceptable and analyzed. The variables measured were as follows: (1) length of the outlet duct; (2) distance from the canal to the buccal cortex; (3) distance from the canal to the inferior cortex; (4) distance from the canal to the lingual cortex; (5) distance from the canal to the alveoli of the nearest tooth in dentate patients and distance from the canal to the marginal crest in edentulous patients; (6) angle of the duct to the horizontal Frankfurt plane; (7) diameter of the exit orifice; and (8) output level of the socket in relation to the teeth and the presence of bifurcations. RESULTS: A single canal was observed in 64% of patients; 2 canals were observed in 33% of patients; and a triple foramen was observed in 3% of patients. Women showed slightly lower values than men for each of the analyzed variables, with statistically significant differences in the length of the canal in edentulous (P = 0.029) and dentate patients (P = 0.027). CONCLUSION: The medial lingual foramen should be considered while performing presurgical planning. Careful attention is needed while setting the placement position of the dental implant to decrease the risk of complications.

Key Clinical Factors Predicting Adipokine and Oxidative Stress Marker Concentrations among Normal, Overweight and Obese Pregnant Women Using Artificial Neural Networks.

Maternal obesity has been related to adverse neonatal outcomes and fetal programming. Oxidative stress and adipokines are potential biomarkers in such pregnancies; thus, the measurement of these molecules has been considered critical. Therefore, we developed artificial neural network (ANN) models based on maternal weight status and clinical data to predict reliable maternal blood concentrations of these biomarkers at the end of pregnancy. Adipokines (adiponectin, leptin, and resistin), and DNA, lipid and protein oxidative markers (8-oxo-2'-deoxyguanosine, malondialdehyde and carbonylated proteins, respectively) were assessed in blood of normal weight, overweight and obese women in the third trimester of pregnancy. A Back-propagation algorithm was used to train ANN models with four input variables (age, pre-gestational body mass index (p-BMI), weight status and gestational age). ANN models were able to accurately predict all biomarkers with regression coefficients greater than R² = 0.945. P-BMI was the most significant variable for estimating adiponectin and carbonylated proteins concentrations (37%), while gestational age was the most relevant variable to predict resistin and malondialdehyde (34%). Age, gestational age and p-BMI had the same significance for leptin values. Finally, for 8-oxo-2'-deoxyguanosine prediction, the most significant variable was age (37%). These models become relevant to improve clinical and nutrition interventions in prenatal care.

On non-Kupka points of codimension one foliations on ℙ3.

We study the singular set of a codimension one holomorphic foliation on ℙ 3 . We find a local normal form for these foliations near a codimension two component of the singular set that is not of Kupka type. We also determine the number of non-Kupka points immersed in a codimension two component of the singular set of a codimension one foliation on ℙ 3.

Characterization of the Maxillary Sinus Using Cone Beam Computed Tomography. A Retrospective Radiographic Study.

PURPOSE: To analyze the anatomical findings and alterations of the maxillary sinus in asymptomatic patients observed by cone beam computed tomography. MATERIALS AND METHODS: A cross-sectional retrospective study of the anatomical variations and alterations of the maxillary sinus was made in 160 patients-71 males (44.3%) and 89 females (55.6%), with an age range of 18 to 74 years-measuring the thickness of the Schneiderian membrane and the cortical thickness of the lower margin of the maxillary sinus (in its most caudal portion), and correlations among the different study variables were assessed. RESULTS: Sinus pneumatization was the most frequent anatomical finding (81.3%). A negative correlation was observed between the thickness of the Schneiderian membrane and the presence of Underwood septa (P < 0.005). Mucosal thickening of more than 2 mm was directly correlated with the presence of maxillary sinus lesions (opacification, discontinuity of the floor of the sinus, polypoid lesions, or air-liquid levels). CONCLUSION: The presence or absence of septa seems to be related to the thickness of the Schneiderian membrane.

EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.

This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common situations where several techniques reported in literature fail. The EEMD and MUSIC methods are used to decompose the vibration signal into a set of IMFs (intrinsic mode functions) and to identify the natural frequencies of a structure, respectively. The effectiveness of the proposed methodology has been validated and tested with synthetic signals and under real operating conditions. The experiments are focused on extracting the natural frequencies of a truss-type scaled structure and of a bridge used for both highway traffic and pedestrians. Results show the proposed methodology as a suitable solution for natural frequencies identification of structures from free and ambient vibration signals.

Empirical mode decomposition and neural networks on FPGA for fault diagnosis in induction motors.

Nowadays, many industrial applications require online systems that combine several processing techniques in order to offer solutions to complex problems as the case of detection and classification of multiple faults in induction motors. In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full spline-cubic function is presented; besides, it is combined with an adaptive linear network (ADALINE)-based frequency estimator and a feed forward neural network (FFNN)-based classifier to provide an intelligent methodology for the automatic diagnosis during the startup transient of motor faults such as: one and two broken rotor bars, bearing defects, and unbalance. Moreover, the overall methodology implementation into a field-programmable gate array (FPGA) allows an online and real-time operation, thanks to its parallelism and high-performance capabilities as a system-on-a-chip (SoC) solution. The detection and classification results show the effectiveness of the proposed fused techniques; besides, the high precision and minimum resource usage of the developed digital structures make them a suitable and low-cost solution for this and many other industrial applications.

Impact of cardiac conduction disease in patients with cardiac amyloidosis: A national retrospective cohort study.

BACKGROUND: There is a paucity of data regarding the impact of cardiac conduction disease (CD) on clinical outcomes in patients with cardiac amyloidosis (CA). METHODS: The National Inpatient Sample (NIS) was queried to identify all CA admissions and those with CD using ICD-10 codes from 2016 to 2019. We explored baseline characteristics and used multivariate logistic regression to assess the association between CD and several clinical outcomes during index admission; a p-value of <0.05 was significant. Propensity score matching (PSM) was performed to validate our results. RESULTS: A total of 12,185 patients with CA were identified. Of these, 920 (7.6 %) had CD. The median age of the sample was 72 years (IQR: 64-80). After multivariate adjustment and PSM, the presence of CD in CA was associated with higher odds of ventricular arrhythmias (VA) (aOR = 2.97, 95 % CI 1.78-4.96, p < 0.001), syncope (aOR = 3.44, 95 % CI 1.51-7.83, p = 0.003), and cardiovascular implantable electronic device (CIED) implantation (aOR = 12.86, 95 % CI 5.50-30.04, p < 0.001) but not with sudden cardiac arrest (p = 0.092), acute heart failure (p = 0.060), all-cause in-hospital mortality (p = 0.384), and non-routine discharge in patients admitted for CA (p = 0.271). CONCLUSIONS: Although CD was not associated with all-cause in-hospital mortality, there was a significant association with VAs and syncope. Syncope is associated with worse survival in patients with CA. Further studies that prospectively follow patients are needed to determine the true effect of cardiac CD on mortality in patients with CA.