Miracle-dz/UniFAR-FTUs huggingface dataset:
Treatment of Iatrogenic Factor Related Gingival Recession: A Case Report

Recent reports in the literature show that the application of coronally advanced flap i n c ombination with subepithelial connective tissue graft in the treatment of Miller Class II and even III gingival recessions leads to successful results. This case report describes the use of subepithelial connective tissue graft and enamel matrix derivative combination with coronally advanced flap for the treatment of localized gingival recession caused by an ill-fitting crown restoration. The restorative treatment comprised of the retreatment of the endodontic and restorative needs. At 12 months, successful root coverage with 3.5 mm attachment gain was achieved. The patient had minimal discomfort and was satisfied with esthetic results. This case encourages the usage of subepithelial connective tissue graft, enamel matrix derivative and coronally advanced flap combination in localized Miller Class III gingival recessions. Even though the treatment of Miller Class III gingival recessions are challenging due to loss of interproximal bone and soft tissues, the application of subepithelial connective tissue graft in combination with the use ofenamel matrix derivative has shown to be a predictable treatment procedure in esthetic areas forroot coverage and gain of clinical attachment in single Miller Class III recession defects.
Quasi-Time-Invariant 3-D Focusing Beampattern Synthesis for Conformal Frequency Diverse Array

Due to the range-angle-dependent beampattern, frequency diverse array (FDA), either in the form of linear array or planar array, has been extensively investigated in recent years. However, the conformal FDA is seldom studied. In this article, a general conformal FDA framework is first developed. Specifically, a hemi-spherical FDA is exploited to illustrate the unique advantage of conformal FDA in terms of the 3-D localization ability. Furthermore, to deal with the intrinsic defect of time-variant range–angle-coupled beampattern of the FDA, an optimized static nonlinear frequency offset (OSNFO) is proposed. The OSNFO not only decouples the conformal FDA beampattern in the range–angle dimension, but also copes with its inherent time-variant problem, resulting in a quasi-time-invariant 3-D focusing beampattern. Numerous simulation results have been provided to demonstrate the superiority and the effectiveness of the OSNFO-conformal FDA.
Impact of Psycho-Social Predictors on the Quality of Life of the Elderly in Pakistan

This study was aimed to analyze the Quality of Life of the elderly with regard to socio-economic conditions and psycho-social perspectives in Peshawar, Pakistan. In the present review, the focus has been made to examine the impacts of various predictors on the quality of life. A multiple indicator approach, which was based on PLS-SEM, was used to assess the impact of different psycho-socio-economic and demographic indicators on the psychological well-being of the elderly. Hypotheses were planned and evaluated for each dimension in the analysis. A self-administered questionnaire was used for data collection. Two standard inventories: Scale with Life Satisfaction and Rosenberg Self-esteem Scale were adopted and evaluated as a composite outcome measure “Quality of Life”, employing Partial Least Square Structural Equation Modeling technique. The coefficient in the model showed that Social Circle, Health and General Activity have a significant contribution to the Quality of Life. The findings of the study indicated that the relationship between the explanatory variables and outcome variable was strong in the model. All constructs collectively were accounted for 68% of the amount of variance in the construct of Quality of Life. The result exhibited that the Friends and Family construct was the strongest determinant for Quality of Life and Psychological wellbeing in the retired elderly.
Harmonic Reduction in Hybrid Cascaded Multilevel Inverter Using Modified Grey Wolf Optimization

This article proposes a modified grey wolf optimization (MGWO) which has improved rate of convergence and avoids local optima stagnation. This is achieved by improving the exploration–exploitation balance in conventional grey wolf optimization (GWO). Moreover, the use of weighted-distance strategy allows quick identification of the global optima in the proposed MGWO. This optimization is then applied for the control of a three-phase, 11-level hybrid cascaded multilevel inverter (HC-MLI). Selective harmonic elimination pulsewidth modulation technique is implemented through MGWO which generates optimal switching angles for the HC-MLI so as to eliminate lower order harmonics such as 5th, 7th, 11th, and 13th from the output voltage. In MGWO optimized HC-MLI, balancing of capacitor voltage is made possible at higher modulation index by making use of the available redundant switching states. The performance of the proposed work is validated through simulation and experimentation on a 1.5 kW prototype. The results obtained through simulation show that the MGWO algorithm is more efficient and accurate than other reported algorithms such as GWO, genetic algorithm, and particle swarm optimization in terms of performance, harmonic reduction, and convergence rate.
Optimal Auctions with Signaling Bidders

We study optimal auctions in a symmetric private values setting, where bidders’ care about winning the object and a receiver’s inference about their type. We reestablish revenue equivalence when bidders’ signaling concerns are linear, and the auction makes participation observable via an entry fee. With convex signaling concerns, optimal auctions are fully transparent: every standard auction, which reveals all bids yields maximal revenue. With concave signaling concerns there is no general revenue ranking. We highlight a trade-off between maximizing revenue derived from signaling, and extracting information from bidders. Our methodology combines tools from mechanism design with tools from Bayesian persuasion.
Nuclear equation of state constraints from tidal deformability of neutron stars

We study the effect of nuclear equation of state on the tidal polarizability of neutron stars. The predicted equations of state for the β-stable nuclear matter are parameterized by varying the slope L of the symmetry energy at saturation density on the interval 65 MeV≤L≤115 MeV. The effects of the density dependence of the nuclear symmetry energy on the neutron star tidal polarizability are presented and analyzed. A comparison of theoretical predictions with the recent observation predictions is also performed and analyzed.
Solution of mediated bioelectrocatalysis process related to the Michaelis‐Menten equation by sinc method

In this study, sinc‐Galerkin and Sinc collocation methods coupled with double exponential transformation have been developed to obtain a numerical solution of nonlinear two‐point boundary value problem arising in steady state nonlinear reaction diffusion equation containing a nonlinear term related to Michaelis‐Menten of the enzymatic reaction. Application of these methods reduce the solution of the Michaelis‐Menten equation to the solution of nonlinear system of algebraic equations. The upper bound of the error was calculated. Two problems of this model, chosen from the literature, were considered and for several parameters, numerical solution was shown. Obtained numerical results and error of the methods show that these methods are very fast with high efficiency in convergence.
The Characteristic and Thermodynamics/Kinetics of Martensitic Transformation in Fe50Mn30Co10Cr10 High‐Entropy Alloy during Deformation/Heat Treatment

The characteristic of martensitic transformation in the Fe50Mn30Co10Cr10 high‐entropy alloy during deformation/heat treatment is analyzed with optical microscopy (OM) and X‐ray diffraction (XRD). The mechanism of martensitic transformation is first quantitatively analyzed based on Olson–Cohen thermodynamics calculation and kinetics calculation of critical stresses required for martensitic transformation, twinning, and dislocation slip. The content of martensite in the HR (the as‐cast sample hot rolled at 1173 K and air quenched) sample is decreased, whereas in the HRQ (the HR sample annealed at 1273 K for 2 h and water quenched) sample is increased. The content of martensite in the CR (the HRQ sample cold rolled with 40% deformation) sample is significantly increased, whereas in the CRQ (the CR sample annealed at 1173 K for 5 min and water quenched) sample is decreased. Thermodynamics and kinetics calculations show that the martensitic transformation is inhibited at high temperature due to its positive martensitic transformation free energy difference (ΔGγ→ε), high stacking fault energy, and the highest critical stress required for martensitic transformation compared with twinning and dislocation slip. Martensitic transformation is promoted by deformation at low temperature due to its negative ΔGγ→ε, low stacking fault energy, and the lowest critical stress.
ICT Aid Flows From China to African Countries: A Communication Network Perspective

The challenge in evaluating China’s foreign aid has always been the unavailability of reliable data sets. This study constitutes the first analysis of the AidData data set from a communication network perspective. It examines China’s development aid to Africa in the ICT sector from 2000 to 2014. Combining data mapping, network modeling, and regression, it uncovers general trends of aid allocation, central players, and collaboration patterns among aid agencies. The results demonstrate the variability in the distribution of China’s foreign assistance to 44 African countries. In particular, African countries with less population, worse economic development, but higher oil rents are more likely to receive ICT aid from China. This study also finds that aid implementation is less likely to occur through collaboration within the same sector or between state-owned enterprises (SOEs) and private companies. This research reveals nuanced geometries of aid with “Chinese characteristics” that move beyond the extractive “Angola model” or the mutual benefits model. These findings provide implications on how Chinese telecommunication companies are shaping Africa’s digital future.
Hospital Malnutrition: Food Services Need to be Improved in Mexico

Background: Hospital malnutrition is a global complex, multi-factorial problem, mainly due to lack of appropriate awareness. Hospital malnutrition negatively impacts patient's recovery and increases hospitalization cost. Materials and methods: We assessed hospitalized patients during the first 24-48 hours. Nutritional risk screening (NRS 2002) was applied; anthropometric and dietary parameters were evaluated. Objective: 1) To assess nutritional status and risk of malnutrition in patients admitted to a Mexican public hospital. 2) To determine the frequency of patients who did not meet their energy and protein needs. Results: We evaluated a total of 568 patients. Risk of malnutrition was present in 3.6% of patients at admission while 84% of them were at risk of malnutrition after prolonged hospitalization. A BMI2 was observed in 7.4% of the patients, whereas 49.5% were classified and obese or overweight. Weight loss >10% was seen in 32.9% of the patients. Food intake showed that in average hospital patients consumed 50% of their caloric requirements and 39% of protein requirements; only 42% of the patients had a food intake between 70-100%. Conclusions: Hospital malnutrition is a complex issue with both personal and institutional etiological factors. Healthcare institutions must improve awareness and training of personnel and the quality of hospital nutrition/food service to improve the addressing of hospital malnutrition.
High pressure acid leaching: a newly introduced technology in Indonesia

PT Halmahera Persada Lygend (PTHPL) plans to construct new technology for nickel laterite ore processing in Obi Island, North Maluku Province. The facility is expected to produce 247,000 tonnes of NiSO4.7H2O and 32,000 tonnes of CoSO4.7H2O to be sold for the raw material of electric vehicle battery. Indonesia is one of world largest nickel laterite resources and currently only nickel ore saprolite has been exploited while nickel limonite is abandoned as waste due to the lack of technology. In the last decade, nickel smelter is booming in Indonesia to process nickel saprolite to become Ferro Nickel, Nickel Pig Iron, Nickel Matte. This study is aimed to assess the potential implementation of High-Pressure Acid Leaching (HPAL). HPAL is a proven technology but not utilized in Indonesia due to the high investment, and it requires a large media for waste disposal. Nickel limonite ore with grade 1.1 – 1.4 % can be processed using HPAL technology to produce more than 37% nickel and another beneficial product, which is cobalt. Nickel world demand shifts to support electric vehicle battery even though stainless steel demand is still high. The Government of Indonesia is currently starting to support the electric vehicle market program. Therefore HPAL project in Indonesia is a high opportunity and a good investment for investors.
Application of natural language processing methods to extract coded data from administrative data held in the Scottish Prescribing Information System

ABSTRACT ObjectivesThe Prescribing Information System (PIS) datamart, hosted by NHS National Services Scotland receives around 90 million electronic prescription messages per year from GP practices across Scotland. Prescription messages contain information including drug name, quantity and strength stored as coded, machine readable, data while prescription dose instructions are unstructured free text and difficult to interpret and analyse in volume. The aim, using Natural Language Processing (NLP), was to extract drug dose amount, unit and frequency metadata from freely typed text in dose instructions to support calculating the intended number of days’ treatment. This then allows comparison with actual prescription frequency, treatment adherence and the impact upon prescribing safety and effectiveness. ApproachAn NLP algorithm was developed using the Ciao implementation of Prolog to extract dose amount, unit and frequency metadata from dose instructions held in the PIS datamart for drugs used in the treatment of gastrointestinal, cardiovascular and respiratory disease. Accuracy estimates were obtained by randomly sampling 0.1% of the distinct dose instructions from source records, comparing these with metadata extracted by the algorithm and an iterative approach was used to modify the algorithm to increase accuracy and coverage. ResultsThe NLP algorithm was applied to 39,943,465 prescription instructions issued in 2014, consisting of 575,340 distinct dose instructions. For drugs used in the gastrointestinal, cardiovascular and respiratory systems (i.e. chapters 1, 2 and 3 of the British National Formulary (BNF)) the NLP algorithm successfully extracted drug dose amount, unit and frequency metadata from 95.1%, 98.5% and 97.4% of prescriptions respectively. However, instructions containing terms such as ‘as directed’ or ‘as required’ reduce the usability of the metadata by making it difficult to calculate the total dose intended for a specific time period as 7.9%, 0.9% and 27.9% of dose instructions contained terms meaning ‘as required’ while 3.2%, 3.7% and 4.0% contained terms meaning ‘as directed’, for drugs used in BNF chapters 1, 2 and 3 respectively. ConclusionThe NLP algorithm developed can extract dose, unit and frequency metadata from text found in prescriptions issued to treat a wide range of conditions and this information may be used to support calculating treatment durations, medicines adherence and cumulative drug exposure. The presence of terms such as ‘as required’ and ‘as directed’ has a negative impact on the usability of the metadata and further work is required to determine the level of impact this has on calculating treatment durations and cumulative drug exposure.
Validation of the Pregnancy Physical Activity Questionnaire (PPAQ)

Introduction: The results of many studies confirm the positive effect of physical activity during pregnancy on the health of both mother and child. Due to this, it is important to use standardised methods of its assessment. In 2004, Chasan-Taber et al. developed the Pregnancy Physical Activity Questionnaire (PPAQ), taking into account household/caregiving activities, occupational activities, sports/exercise activities, transportation activities, and inactivity. Aim of the research: The validation of the Pregnancy Physical Activity Questionnaire (PPAQ) by determination of its reproducibility. Material and methods: The questionnaire was validated from June 2014 to February 2015 among 164 women. The respondents were surveyed twice in a 2-week interval. The repeatability of the questionnaire was verified by determining the Pearson correlation coefficient between the results obtained for the same people in the first and second interview, thus determining the intra-subject variability. Inter-subject variability was analysed by comparing the average values of physical activity for the whole group using the Student’s t-test for dependent samples. Results: For all levels of physical activity, a high correlation between the results obtained in both interviews was found. The correlation coefficient for total physical activity was r = 0.96. The reproducibility of the results obtained from PPAQ questionnaire was the highest for inactivity and moderate activity (r = 0.96). The analysis according to the type of activity showed that the reproducibility was the highest for occupational activity (r = 0.98). Conclusions: High reproducibility of results obtained using PPAQ questionnaire was found. This allows the assessed questionnaire to be considered as an accurate measurement tool that can be a source of reliable information about physical activity in pregnant women.
La satisfacción laboral en profesiones asistenciales: de la investigación comparativa en Trabajo Social a una propuesta de intervención

Introduccion y objetivos. La investigacion sobre la satisfaccion laboral de profesiones asistenciales como el Trabajo Social aun es escasa en comparacion con otros ambitos profesionales. Y cuando se ha llevado a cabo, muy pocas veces se ha utilizado un grupo control de comparacion. Dada la demanda social y la importancia de esta profesion en Espana, el principal objetivo de esta investigacion consistio en conocer el grado de satisfaccion laboral en una muestra de profesionales del Trabajo Social, en comparacion con profesiones afines como la Educacion Social y la docencia, asi como identificar algunos de sus predictores, entre los que cabe situar a la carga mental percibida, el significado del trabajo o las expectativas laborales. Metodo. Para la consecucion de estos objetivos se realizaron tres estudios. En el primero, se comparo a una muestra de trabajadoras sociales con una muestra de educadoras sociales y una muestra de docentes, tanto en satisfaccion laboral como en carga mental percibida. En concreto, participaron 88 mujeres (M = 43.67 anos, DT = 9.21). Para la evaluacion de la satisfaccion laboral se utilizo la Job Satisfaction Scale (Warr et al., 1979; ? en este estudio = .87); y para la evaluacion de la carga mental se uso el CarMen-Q (Rubio et al., 2017; ? en este estudio = .89). En el segundo estudio, se amplio la muestra incluyendo el ambito publico y a hombres, repitiendo las dos variables dependientes (120 mujeres y 43 hombres, M = 42.48 anos, DT = 9.57). En el tercero, se realizo un estudio predictivo de la satisfaccion laboral en funcion del significado del trabajo y de las expectativas laborales, utilizando el Cuestionario de Expectativas Laborales (? en este estudio = .72) y el Cuestionario de Significado del Trabajo (? en este estudio = .90). Participaron 250 mujeres y 27 hombres (M = 40.04 anos, DT = 9.65). Resultados. Tomados de forma conjunta, los resultados senalaron la existencia de diferencias significativas interprofesionales, tanto en satisfaccion laboral como en carga mental. En concreto, los profesionales del trabajo social puntuaron menos en satisfaccion laboral, pero mas en carga mental, que los docentes. De igual modo, tras realizar un analisis de regresion por pasos sucesivos, se observo que las expectativas de desarrollo personal, el significado del trabajo y las expectativas de relacion con los usuarios fueron los mejores predictores de la satisfaccion laboral. Las expectativas de compensacion, la edad, el sexo, el tipo de contrato y el ambito de trabajo, no resultaron predictores significativos. Discusion. Se analizan estos resultados en comparacion con las principales propuestas teoricas en esta area de investigacion y se concluye proponiendo un programa de intervencion, con el objetivo de intentar mejorar la satisfaccion en el ambito del Trabajo Social. Dicho programa, al que hemos denominado MESALA, consta de tres modulos: 1) la reconexion con el significado del trabajo, 2) el reajuste de expectativas laborales, y 3) el manejo de la carga mental.
Reestimating a minimum acceptable geocoding hit rate for conducting a spatial analysis

ABSTRACT Geocoding consists in converting a textual description of a location into coordinates. Hence, geocoding a dataset of events has to be carried out before performing a spatial analysis of some data. Automated procedures are necessary to geocode large datasets of events, but they can produce errors. Therefore, it is natural to ask oneself what is the minimum percentage of events that should be geocoded. An 85% of success was established 15 years ago as the first estimate of a minimum acceptable rate, becoming a reference for many spatial analysts. In this paper, the goal is reestimating a minimum acceptable geocoding match rate through the same procedure that was employed for computing the first estimate while accounting for some spatial factors that could possibly influence this estimation: intensity, clustering and aggregation levels. Several statistical techniques and the presence of nonrandomly distributed errors are also explored in this context. The results indicate that variations in intensity, clustering and aggregation levels lead to different minimum acceptable geocoding match rates. Furthermore, specific techniques such as cluster detection seem to be especially sensitive to the existence of non-geocoded data. Therefore, the highly approved 85% geocoding rate may need to be raised.
An enhanced terminology development and management approach for South African languages

The study was inspired by observations made by the main researcher of how terminology is being developed and managed in South Africa. Its aim is to propose effective models and principles for terminology development and management and to eliminate the duplication of terminologies. It also recommends a mechanism for terminology project flow, which will ensure verification, authentication and standardisation. It reviews literature on language planning and policy, terminology standardisation, terminology policy, and terminology management in South Africa and internationally, namely in the European Union and African countries (Somalia, Tanzania, Nigeria, Kenya, Ethiopia) as well as the francophone countries, during their political transitions. The mixed methods approach that combines the techniques of both qualitative and quantitative approaches was used. After the data analysis and discussion of findings, two models were designed, namely the proposed model for collating existing terminologies (Terminology Developing Model 4) and the proposed model for future terminology development and management (Terminology Developing Model 5). Finally, two recommendations are proposed, one of which is, first and foremost, designing a National Terminology Policy, and secondly, encouraging the National Termbank (NT) to manage and store terminologies of all official South African languages effectively.