Miracle-dz/UniFAR-FTUs huggingface dataset:
Satisfacción laboral en enfermeras del hospital de oncología Centro Médico Nacional Siglo XXI IMSS

Introduccion: La Satisfaccion Laboral es una actitud positiva hacia el desempeno en el trabajo; es un indicador de bienestar y calidad de vida laboral; identificar sus grados en el personal de enfermeria de un hospital de oncologia fue el objetivo de este estudio. Metodologia: Estudio descriptivo y transversal; poblacion de 230 sujetos. Recoleccion de la informacion con la Escala General de Satisfaccion Laboral (EGSL) Warr; Cook y Wall; 1979. Resultados: El grado de satisfaccion laboral sobre factores extrinsecos fue una media de 37.3 (66.6%) segun EGSL; las enfermeras sienten indiferencia y estan algo satisfechas. El grado de satisfaccion laboral sobre factores intrinsecos fue una media de 32.5 (66.3%); las enfermeras sienten indiferencia. El grado de satisfaccion laboral general del personal de enfermeria fue una media de 69.8 (66.4%); estan en un nivel de indiferencia y poco satisfecho. Discusion: Los enfermeros se sienten indiferentes y/o poco satisfechos; lo cual coincide con una investigacion nacional; sin embargo; la mayoria de los estudios refieren un grado de satisfaccion moderado o medianamente satisfecho. Conclusiones: La indiferencia de las enfermeras puede repercutir en la atencion a los usuarios. Se recomienda realizar estudios sobre los factores de insatisfaccion y que los gestores estimulen a su personal. Palabras Clave: Satisfaccion laboral; factores extrinsecos; factores intrinsecos; Enfermeria Introduction: The Job Satisfaction is a positive attitude towards the performance in the work; is an indicator of wellbeing and life quality; to identify its degrees in the nursing staff of an oncology hospital was the objective of this study. Methodology: Descriptive and cross-sectional study; based on a survey Scale General of Satisfaction- Overall Job Satisfaction; developing by Warr; Cook and Wall; 1979. Population of 230 nurses. Results: The degree of Job satisfaction on extrinsic factors was an mean of 37;3 (66;6%) according to Overall Job Satisfaction; the nurses feel indifference and are something satisfied. The degree of labor satisfaction on intrinsic factors was an mean of 32;5 (66;3%); the nurses feel indifference. The degree of general job satisfaction of the nursing personnel was an mean of 69;8 (66;4%); are in a level of indifference and little satisfied. Discussion: The nurses feel indifferent and/or little satisfied; which agrees with a national research; nevertheless; the majority of the studies refers a moderate degree of satisfaction or moderately satisfied. Conclusions: The nurses’ indifference can to have repercussion on in the users attention. It is recommended to realize studies on the dissatisfaction factors and that the managers stimulate their personnel.
The Effects of Group Education With the Teach-Back Method on Hospital Readmission Rates of Heart Failure Patients

Background: Despite published guidelines emphasizing the importance of education in preventing readmissions, the most effective means of educating hospitalized patients with heart failure (HF) about their self-care remains unknown. Objectives: The aim of this study was to determine the effects of group education with the teach-back method on the readmission of HF patients. Patients and Methods: A randomized, controlled trial was conducted at two academic health care systems in Ahvaz. A total of 100 patients aged 50 years and older were enrolled during hospitalization for the treatment of heart failure. Patients in the intervention group were educated and evaluated using the teach-back method as part of usual care. Data on patients’ ability to recall educational information while hospitalized and during follow-up approximately seven days after hospital discharge were collected. Readmissions were confirmed through follow-up telephone calls and reviews of medical records. The data were analyzed with the Mann-Whitney statistical test to compare the proportion of readmissions in each study groups using SPSS. 22. Results: Patients correctly answered three out of four, or 75%, of self-care teach-back questions. In the intervention group, greater time spent teaching was significantly associated with correctly answered questions (P < .001). The number of readmissions for heart failure was reduced by 56.2% in the intervention group (44 vs. 21, P = 0.04). Conclusions: This study will be an important step in creating an evidence base for the relative benefits of different educational strategies for reducing readmissions.
A pilot study of IV bevacizumab in hepatocellular cancer patients undergoing chemoembolization

4138 Background: Transarterial chemoembolization (TACE) provides a modest survival benefit in carefully selected patients with hepatocellular cancer (HCC) [Llovet JM et al, Hepatology 37:429–42, 2003]. After TACE, plasma VEGF levels rise, contributing to neovascularization (NVASC) and tumor re-growth. IV bevacizumab (BV) may inhibit NVASC, thereby improving TACE results. Methods: This pilot study evaluates NVASC using serial angiography in 30 HCC patients undergoing TACE who are randomized to either BV (10 mg/kg IV q 14 days) or observation (OBS), with cross-over to BV allowed after week 14. Angiograms are performed at day 8, week 10, and week 14. TACE is performed at day 8, and at week 14 if indicated. Eligibility criteria include platelets ≥ 60K, transaminases ≤ 5 times upper limit of normal, bilirubin ≤ 2.5 mg/dL, and Child’s class A/B disease. Results: 7 of 10 randomized patients are evaluable (5 BV, 2 OBS). After the first TACE, 1 BV patient had NVASC, but the new vessels did not supply tumor. 2 BV p.
Surgical Manual of Implant Dentistry: Step-by-step Procedures

The purpose of this practical manual is to describe and illustrate each step of the basic surgical procedures involved in the placement of implants in qualified patients. To that end, each procedure is briefly but lucidly described; carefully illustrated in a series of drawings of the techniques and instrumentation used; and reinforced through clinical photographs, including radiographic and postoperative follow-up views. In addition to the basic implant surgical principles, evidence-based indications and procedures for guided bone regeneration in apical fenestration and crestal dehiscence defects, and for simultaneous sinus floor elevation via the lateral window and osteotome techniques are featured.
When learning meets RFIDs: The case of activity identification

Over the past decades have seen booming interests in human activity identification that is widely used in a range of Internet-of-Things applications, such as healthcare and smart homes. It has attracted significant attention from both academia and industry, with a wide range of solutions based on cameras, radars, and/or various inertial sensors. They generally require the object of identification to carry sensors/wireless transceivers, which are not negligible in both size and weight, not to mention the constraints from the battery. Radio frequency identification (RFID) is a promising technology that can overcome those difficulties due to its low cost, small form size, and batterylessness, making it widely used in a range of mobile applications. The information offered by today’s RFID tags however are quite limited, and the typical raw data (RSSI and phase angles) are not necessarily good indicators of human activities (being either insensitive or unreliable as revealed by our realworld experiments). As such, existing RFID-based activity identification solutions are far from being satisfactory. It is also well known that the accuracy of the readings can be noticeably affected by multipath, which unfortunately is inevitable in an indoor environment and is complicated with multiple reference tags. In this thesis, we first reviewed the literature and research challenges of multipath effects in activity identification with RFIDs. Then we introduced three advanced RFID learing-based activity identification frameworks, i.e., i2tag, TagFree and M2AI, for tag mobility profiling, RFID-based device-free activity identification and tag-attached multi-object activity identification, respectively. Our extensive experiments further demonstrate their superiority on activity identification in the multipath-rich environments.
MANAGEMENT OF POST-SURGICAL COMPLICATIONS IN A NEONATE.CHYLOTHORAX A CASE REPORT

Esophageal stenosis is one of the most common sequels of caustic injury. After the ingestion, in the acute phase, the life support is sometimes critical, and the treatment varies from observation to esophagectomy. During the first 6 months, endoscopic dilation can be necessary in order to maintain the patency of the esophageal lumen. Usually, endoscopic dilation is the treatment of choice for caustic stenosis of the esophagus. Sometimes this procedure is not possible or too risky and then reconstruction surgery is needed, but no earlier than 6 months. We present the case of a 57 years old male who was referred to our clinic for the treatment of a mid-esophageal caustic stenosis, after the accidental ingestion of a concentrated alkaline substance 6 months before. After an initial successful endoscopic dilation, in the second attempt, due to the asymmetric position of the stenosis and the high risk of perforation, we decided to perform an esophageal by-pass. We chose to use the left colon for interposition, with the left branch of middle colic artery as the feeding source and the sigmoid trunk as the second arcade. The surgical procedure went uneventful, with restoration of normal oral feeding.
Weathering an Unexpected Financial Shock: The Role of Cash Grants on Household Finance and Business Survival

We estimate the causal effect of cash grants on household finance and business survival following a natural disaster. Disaster-affected individuals in high damage blocks with access to cash grants have 17% less credit card debt following the disaster than those without access to cash grants. Grants do not reduce negative financial outcomes, but do decrease migration. The grants play a role in mitigating the effects of the shock to businesses; resulting in 18% more establishments and 29% more employees post-disaster in disaster-affected neighborhoods where residents receive grants, relative to disaster-affected neighborhoods where they do not receive grants. These effects are concentrated among small non-manufacturing establishments that rely on local demand.
Characteristics and Antibiogram Studies of Bacteria Associated with Vegetables Stored In Raffia Baskets in Nigeria

Raffia baskets are used in rural communities to preserve fresh vegetables for a given period of time. This method of storage is aimed at extending the shelf life of the vegetables until they are used. Thus, this study was aimed at determining the microbial succession during storage and susceptibility pattern of bacterial isolates from stored leafy vegetables to various antibiotics. Five (5) leafy vegetables namely, Bitter leaf (Vernomia anydalira), Water leaf (Talinum triangulare), Fluted pumpkin leaf, (Telfairia occidentalis), Okazi leaf (Gnetum africana) and Scent leaf (Ocimum gratissimum) were obtained from the Nigerian Stored Products Research Institute (NSPRI) farm, Port Harcourt. These vegetables were stored in a raffia basket for fourteen (14) days while another set of the vegetables were left in the open air as control. This set up was monitored for changes to occur. Standard microbiological techniques were employed for the various analyses of the vegetable samples. Both cultural and molecular characterizations of the isolates were done. The disc diffusion method was used in determining the susceptibility pattern of the bacterial isolates. The results of the predominant microorganisms identified were of the genus; Bacillus, Pseudomonas, Enterococcus, Enterobacter, Bordetella, Staphylococcus, Myroides, Escherichia, Serratia, Micrococcus and Acetobacter. Also, Bacillus species occurred in all the vegetables while Enterococcus faecalis, Acetobacter orientalis, Bordetella pertussis, Myroides xuanwuensis and Bacillus flexus were isolated on the third day of storage from the vegetables. The total heterotrophic bacterial counts ranged from 1.8 x106 cfu/g to 1.25 x107 cfu/g (bitter leaf), 9x105 cfu/g to 9.0 x106 cfu/g (Scent leaf), 7 x105 cfu/g to 1.88 x107 cfu/g (Okazi), 3.2x106 cfu/g to 1.05x107 cfu/g (Fluted pumpkin leaf) and 8.4 x106 cfu/g to 2.04 x107 cfu/g (water leaf). Antibiogram of bacterial isolates revealed that they were resistant to Augmentin and Ceftazidime according to Clinical Laboratory Standard Institute schemes. Combination of the antibiotics showed that most of the isolates were 100% susceptible to ciprofloxacin + erythromycin, and ciprofloxacin + ceftriaxone. The study revealed that for all the vegetables, those stored in the basket lasted longer and were fresher compared to those kept in the open space. This study revealed that the raffia baskets are suitable for storage and preservation of leafy vegetables, but microbial succession occurred as a result of increase in the period of storage leading to the proliferation of microorganisms. This could be from aerosols or by chance inoculation, through handling or materials used or other microorganisms which are inherent in the vegetables because of their contact with the soil or water used in the washing of the leaves.
Characterization and Diurnal Measurement of Oral Inflammation in Association with Glycemic Control, Periodontal Status, & Glucose Stimulation

Background: Type 1 diabetes (T1D) is an autoimmune disease resulting in the targeted destruction of pancreatic β-cells and permanent loss of insulin production. Proper glucose management results in better clinical outcomes for T1D and provides a strong rationale to identify non-invasive biomarkers indicative or predictive of glycemic control. Therefore, we investigated the association of salivary inflammation with HbA1c in a T1D cohort. Methods: Unstimulated saliva was collected from 144 subjects with T1D at the USF Diabetes Center. BMI, duration of diabetes, and HbA1c was recorded during clinical visit. Levels of interleukin (IL)-1β, -6, -8, -10, IFN-γ, TNF-α, MMP-3, -8, and -9 were measured using multiplexing immunoassay analysis. To account for smoking status, salivary cotinine levels were also determined. Results: Multiple linear (HbA1c) and logistic (self-reported gingival condition) regression analyses were performed to examine the relationships between the Principal Component Analysis (PCA) components and HbA1c and gingival condition (adjusted for age, duration of
A Natural Language Processing Approach for Musical Instruments Recommendation System

A number of significant researches have been made in the field of data analytics for recommendation systems and are able to successfully recommend the relevant and related content of the user's interest. Variety of domains like books, restaurants, web pages, movies, e commerce, etc. make use of recommendation systems, thus playing an important role in recommending the items of user's interest. The outcomes produced by these systems always have the scope of improvement over the results they currently provide which would lead to the user satisfaction. This research strengthens the use of the recommendation system by improving the accuracy of the results provided. In the recent years, the demand for musical instruments is increasing with the growing interest of people in opting music as a career or an extra-curricular activity. Hence, this research focuses on building a recommendation system for musical instrument, that will generate top 3 recommendations based on the search query entered by user. This search query contains details in form of technical specification, description, sentiments, and brand related to musical instrument. A Natural Language Processing approach is followed in order to generate recommendations by training the models: Dov2vec and Latent Semantic Analysis(LSA) using the dataset from Amazon. Further, the cosine similarity between a chatbot search query is matched with the average of the cosine similarity of LSA and Doc2Vec document embeddings to generate recommendations.The cosine similarities of the results obtained for top 3 recommendations from the experiments performed was 0.825319, 0.807372 and 0.789747.
Fairness in machine learning lecture notes (Lecture 25)

1 Sources of bias For this lecture, bias in a machine learning model will be de ned as predictions or decisions that systematically (i.e. consistently) advantages individuals in a privileged group. Bias is problematic if the source of the privilege is âĂIJunjusti edâĂİ, statistically or morally. What is problematic varies by setting/application, hence the many competing de nitions of fairness (see section 3). Bias in machine learning models emerges from bias in data. Data collected from historical observations or records of individual are often generated by prejudiced sources or collected via biased means. Even data that might seem innocuous can hide insidious stereotypes that are prevalent throughout society. Bolukbasi et al. [1] examined the Word2Vec word embedding when trained on the Google News corpus and found the following relationship:
The Tragedy Of Commons Mimo Homogeneous Network And Sic Technology

: The perpetually mounting demand of reliable higher data rates, better quality service, enlarged coverage with limited available RF spectrum and existing transmission problems caused by various factors viz. fading and multipath distortion etc. are the key challenges faced by wireless system designers now a days. These needs motivate to introduce novel technique named as Multi-Input-Multi-Output (MIMO) technology that promises a cost effective way to provide an efficient solution to reach the goal by improving spectral efficiency, operational reliability and assisting fading link reliability without sacrificing bandwidth efficiency. In this work, an efficient spectrum allocation is done of a MIMO network using game theoretical model commonly known as the tragedy of Commons to detect that amount of unused spectrum efficiently. Game theory practices rational choice theory along with assumptions of players' common knowledge in order to envisage utility-maximizing decisions. Users can detect the unused spectrum commonly known as cognitive spectrum by using log likelihood ratio test where a threshold value is detected using log-likelihood ratio model and the unused spectrum is allocated to the user who needs an extra band for some higher usage. Interference is avoided in this work using successive interference cancellation (SIC) approach.
Microcontroller Based Temperature Monitoring and Controlling System using XBee Network

Temperature controlling is one of the most important process variables in the process control. In this paper describes the design and implementation of a Wireless Sensor Networks (WSN) based on XBee technology to monitor the history and current temperature information of remote locations. In this work, the microcontroller is used to compute and compare the value of current temperature and the set point values. LCD is used to display the result data. This result data is also sent to the microcontroller where the operator controls the whole process. Then, the signal passes to the relays to On-Off case of the fan for maintaining the correct temperature.
A Review of Printable Flexible and Stretchable Tactile Sensors

Flexible and stretchable tactile sensors that are printable, nonplanar, and dynamically morphing are emerging to enable proprioceptive interactions with the unstructured surrounding environment. Owing to its varied range of applications in the field of wearable electronics, soft robotics, human-machine interaction, and biomedical devices, it is required of these sensors to be flexible and stretchable conforming to the arbitrary surfaces of their stiff counterparts. The challenges in maintaining the fundamental features of these sensors, such as flexibility, sensitivity, repeatability, linearity, and durability, are tackled by the progress in the fabrication techniques and customization of the material properties. This review is aimed at summarizing the recent progress of rapid prototyping of sensors, printable material preparation, required printing properties, flexible and stretchable mechanisms, and promising applications and highlights challenges and opportunities in this research paradigm.
WHAT CAUSES THE VAT GAP

This paper is focused on the possible factors infl ue cing the value added tax (VAT) gap. The VAT gap is an estimate of unpaid VAT in the economy calculated as the difference between the theoretical VAT liabi lity and VAT actually paid into the state budget. It is often expressed in relative terms as a percentage of unpaid VAT from the theoretical VAT that would be collecte d if all taxpayers report and pay VAT in full. The high value of this indicator m ay imply problems with tax evasion and inefficiency within the tax system. The ar ticle summarises the existing studies quantifying the VAT gap and seeking to iden tify the relationship between the VAT gap or VAT revenues and various economic, t ax and social factors present in individual countries. The panel regression and pooled regression models were used in this paper to identify the statistical ly significant variables that have an impact on the VAT gap. From 21 variables, only f our factors proved to be statistically significant. The analysis revealed that the increase in the ratio of VAT revenues to GDP causes a reduction in the VAT gap. Further findings were that if the standard VAT rate and the difference between th standard and reduced VAT rate are increasing, the VAT gap grows. Finally, th e control variable – share of household consumption in GDP is increasing the VAT gap.
Hillslope denudation and morphologic response across a rock uplift gradient

Abstract. Documenting the spatial variability of tectonic processes from topography is routinely undertaken through the analysis of river profiles, as a direct relationship between fluvial gradient and rock uplift has been identified by incision models. Similarly, theoretical formulations of hillslope profiles predict a strong dependence on uplift rates. However, the reduced sensitivity of near-threshold hillslopes and the limited availability of high resolution topographic data, has often been a major limitation for their use to investigate tectonic gradients. Here we combined high resolution analysis of hillslope morphology and cosmogenic nuclides derived denudation rates to unravel the distribution of rock uplift across a blind thrust system at the Southwestern Alpine front in France. Our study is located in the Valensole Mio-Pliocene molassic basin, where a series of fold and thrust has deformed a plateau surface. We focused on a series of catchments aligned perpendicular to the main structures. Using a 1-m LiDAR Digital Terrain Model, we extracted hillslopes topographic properties such as hilltop curvature CHT or non-dimensional erosion rates E*. We observed a systematic variation of these metrics coincident with the location of a major underlying thrust system identified by seismic surveys. Using a simple deformation model, the inversion of the E* pattern allows to propose a location and dip for a blind thrust, which are consistent with available geological and geophysical data. We also sampled clasts from eroding conglomerate at several hilltops locations for 10Be and 26Al concentration measurement. Calculated hilltops denudation rates range from 40 to 120 mm/ka. These denudation rates appear to be correlated with E* and CHT extracted from the morphological analysis, and are used to derive absolute estimates for the fault slip rate. This high resolution hillslope analysis allows to resolve short wavelength variations in rock uplift, that would not be possible to unravel using commonly used channel profiles based methods. Our joint analysis of topography and geochronological data supports active thrusting at the Southwestern alpine front, and such approaches may bring crucial complementary constraints to morphotectonic analysis for slip rates on slow active faults.