Miracle-dz/UniFAR-FTUs huggingface dataset:
Facteurs de transcription du groupe PEA3 et cancérogenèse mammaire : modèles d'inhibition de l'expression, études phénotypiques et recherche de gènes cibles

Les facteurs de transcription du groupe PEA3, Erm, Er81 et Pea3 (famille ETS) sont exprimes des les stades d'embryogenese precoce dans un grand nombre de tissus et organes. Leur surexpression est souvent correlee au statut tumorigene des cellules et a l'evolution metastatique, notamment dans le modele mammaire. Des cellules mammaires murines a caractere «normal» surexprimant les facteurs Erm et Pea3 presentent la capacite de faire spontanement de la morphogenese et des proprietes invasives in vitro. Ces modeles ont permis la mise en evidence de nouvelles cibles moleculaires de ces facteurs. Les genes bax, cycline D2 et p55cdc. Le travail de these s'est oriente autour de deux axes. La mise au point de modeles cellulaire, manmaires d'inhibition de l'expression des facteurs Erm et Pea3 et l'etude de la regulation des genes cibles bax,cycline D2 et p55cdc. Nous avons pour cela utilise deux lignees de cellules mammaires murines, une lignee de cellules a caractere «normal », les TAC (comme modele cellulaire de morphogenese) et une lignee cancereuse, les MMT (comme modele cellulaire de tumorigenese), et le processus d'ARN interference pour reprimer l'expression des facteurs Erm et Pea3. L'etude des modifications morphogenetiques des cellules MMT dont l'expression du facteur Enn comme celle du facteur Pea3 est inhibee, montre que ces cellules presentent une perte de leur capacite de proliferation, de migration et d'invasion in vitro.
Optimal Designs for Relay-Assisted NOMA Networks With Hybrid SWIPT Scheme

We consider a relay-assisted non-orthogonal multiple access (NOMA) network consisting of a source (S), an energy-constrained relay (R), and two users, where a hybrid power-splitting (PS) and time-splitting (TS) scheme is applied at R for energy harvesting. We provide optimal transmission designs for such a network by jointly optimizing the transmit power of S, the TS and PS ratios, the power allocation ratios at S and R, and the user ordering (indicating which user should apply the successive interference cancellation). In particular, when full channel state information at the transmitters (CSIT) is available, our design can minimize the energy consumption while ensuring that two users correctly receive the desired information. When only partial CSIT is available, our design can minimize the system outage probability. We analytically show that the joint optimal solution for a given TS ratio can be derived in a closed form for both CSIT cases. The optimal TS ratio can be found either in a closed form or using a bisection method for the full CSIT case, while it can be found using a one-dimension search for the partial CSIT case. Finally, numerical results are provided to validate the analytical results and to evaluate the performance advantage of the hybrid PS/TS scheme with the proposed optimal designs.
Basic Italian : A Grammar and Workbook

Basic Italian: A Grammar and Workbook comprises an accessible reference grammar and related exercises in a single volume. This workbook presents 23 individual grammar points in lively and realistic contexts. Each unit consists of jargon-free explanations and comparisons with English, targeting the more common difficulties experienced by learners of Italian. Grammar points are followed by examples and exercises selected to make use of contemporary Italian. Basic Italian introduces Italian culture and people through the medium of the language used today, providing readers with the basic tools to express themselves in a wide variety of situations. Features include: • examples in both Italian and English • grammar tables for easy reference • full exercise answer key • glossary of grammatical terms Basic Italian is the ideal reference and practice book for beginners and also for students with some knowledge of the language. Stella Peyronel is a lecturer at the University of Turin, Italy. She has taught Italian to foreigners for over 20 years and is the author of several Italian grammars. Ian Higgins is Honorary Senior Lecturer at the University of St Andrews and is co-author of Thinking Italian Translation.
Comparison of Enteral Feeding Implementation with Standards in Educational Centers, Selected Therapeutics in Babol University of Medical Sciences

Introduction: In patients who are not able to feed the mouth, but the digestive system has the ability to digest food, enteral feeding is used. This method is safe and affordable for the patient, leading to maintaining the function of the digestive system, reducing the risk of infection and sepsis. However, failure to properly implement this type of feeding causes problems such as pneumonia aspiration, infection, diarrhea, blockage of the enteral feeding, and if the above feeding method is implemented in accordance with its standard, it can play a major role in reducing the burden of complications and improving the quality of life, reducing the length of hospitalization, and reducing their costs. Method: This is a cross-sectional descriptive-analytic study. The researchers studied 37 nurses working in general and nervous wards who fed patients with gastrostomy. The checklist that was verified in terms of validity and reliability was used to collect information. For data analysis, descriptive statistics (frequency and mean) and inferential statistics (paired t-test, Spearman correlation coefficient, analysis of variance with repeated observations) were used. Results: The results showed that the mean score of actions in all stages (before, during, after implementation) was significantly lower than standard (p<0.001). There was also a reverse relationship between the score of actions in all three stages (before, during, after implementation) with work experience and duration of work experience in the section. There was also a significant difference between the mean score of actions in all three stages between female and male (p-value -0.331), so that the average score of female was higher than that of male. Also, there was a significant difference between the mean score of the actions in all three stages and the employment status of the samples. The mean score of informal people was higher than the official ones. Conclusion: According to the findings, the mean score of the measures before, during and after the implementation of feeding through gastrostomy was significantly lower than the standard (p<0.001), to enteral feeding a gynecologist at gastre and intrology, a clinical nurse and a nutritionist should educate patients and their families and personnel about the preparation and storage of food, the administration of food, the care of the entrance of the enteral and the enteral feeding, in light of the problems and complications of this type of feeding [1,2]. Based on the findings of the present study, nurses' retraining, especially men nurses, nurses with more work experience and formal nurses in the field of proper nursing clinical skills such as this type of feeding is needed.
Altering LCA of dependency parse trees for improving relation extraction from adjective clauses

본 논문에서는 텍스트에서 개체(entity) 간 관계(relation) 추출 문제에서 의존구문트리를 이용하여 자질을 추출할 때 형용사구 내에 관계가 나타나는 경우의 성능을 향상시키는 방법을 제안한다. 일률적으로 의존 구문트리의 최소공동조상(LCA: Least Common Ancestor)을 이용하는 일반적인 방법보다 형용사구가 나 타날 때는 형용사구의 술어를 대신 이용하는 것이 더 좋은 자질이 된다는 것을 제안하고 로지스틱 회귀분 석, SVM(linear), SVM(exponential kernel)을 이용한 실험들을 통해 그 효과를 확인하였다. 이는 트리커널 을 이용한 것과 같이 의존구문트리의 최소공동조상이 주요한 역할을 하는 관계추출 모델들의 성능을 높일 수 있음을 보여 준다. 수행한 실험 과정을 통해 관계추출 데이터 셋에서 형용사구 내 관계를 포함하는 문 장이 전체에서 차지하는 비율이 낮을 경우 생길 수 있는 문제를 추가적으로 얻을 수 있었다.
Performance Based Seismic Design Of Buildings

Amongst the natural hazards, earthquakes have the potential for causing the greatest damages. Since earthquake forces are random in nature & unpredictable, the engineering tools needs to be sharpened for analyzing structures under the action of these forces. Performance based design is gaining a new dimension in the seismic design philosophy wherein the near field ground motion (usually acceleration) is to be considered. Earthquake loads are to be carefully modeled so as to assess the real behavior of structure with a clear understanding that damage is expected but it should be regulated. In this context pushover analysis which is an iterative procedure shall be looked upon as an alternative for the orthodox analysis procedures. This study focuses on pushover analysis of multi-storey RC framed buildings subjecting them to monotonically increasing lateral forces with an invariant height wise distribution until the preset performance level (target displacement) is reached. The promise of performance-based seismic engineering (PBSE) is to produce structures with predictable seismic performance. To turn this promise into a reality, a comprehensive and well-coordinated effort by professionals from several disciplines is required. Performance Based Seismic Design Of Buildings
frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem

Electric vehicles offer a pathway to more sustainable transportation, but their adoption entails new challenges not faced by their petroleum-based counterparts. A difficult task in vehicle routing problems addressing these challenges is determining how to make good charging decisions for an electric vehicle traveling a given route. This is known as the fixed route vehicle charging problem. An exact and efficient algorithm for this task exists, but its implementation is sufficiently complex to deter researchers from adopting it. In this work we introduce frvcpy, an open-source Python package implementing this algorithm. Our aim with the package is to make it easier for researchers to solve electric vehicle routing problems, facilitating the development of optimization tools that may ultimately enable the mass adoption of electric vehicles. Summary of Contribution: This work describes a novel software tool for the vehicle routing community. The tool, frvcpy, addresses one of the primary challenges faced by the vehicle routing community when considering problems involving the adoption of electric vehicles (EVs): how to make optimal charging decisions. The state-of-the-art algorithm for solving these problems is sufficiently complex to deter researchers from using it, leading them to adopt less robust methods. frvcpy offers an easy-to-use, lightweight implementation of this algorithm, providing optimal solutions in low (∼5 ms) runtime. It is designed to be easily embedded in larger solution schemes for general EV routing problems, requiring minimal input, offering compatibility with the community standard file types, and offering access both through the command line and a Python API. The tool has thus far proven adaptable, having been used by researchers studying EV routing problems with novel constraints. Our aim with frvcpy is to make it easier for researchers to solve EV routing problems, facilitating the development of optimization tools that may contribute toward the mass adoption of electric vehicles.
Grading student programs using ASSYST

The task of grading solutions to student programming exercises is laborious and error-prone. We have developed a software tool called ASSYST that is designed to relieve a tutor of much of the burden of assessing such programs. ASSYST offers a graphical interface that can be used to direct all aspects of the grading process, and it considers a wide range of criteria in its automatic assessment. Experience with the system has been encouraging.
Prevalencia al nacimiento de hipotiroidismo congénito

INTRODUCCION: El hipotiroidismo congenito es la causa mas comun de discapacidad intelectual susceptible de prevencion. En Mexico, el tamiz neonatal de esta enfermedad es obligatorio. La prevalencia al nacimiento de hipotiroidismo congenito fue descrita en Mexico, hace mas de 10 anos. OBJETIVO: Presentar informacion actualizada de la prevalencia de hipotiroidismo congenito del Programa de Tamiz Neonatal de la Secretaria de Salud y compararla con la reportada previamente en el pais. MATERIALES Y METODOS: Estudio retrospectivo de recien nacidos tamizados en las unidades medicas de la Secretaria de Salud del 1 de enero de 2017 al 31 de mayo de 2018. Se cuantifico la hormona estimulante de la tiroides (TSH) en sangre neonatal. Se reviso la bibliografia de la prevalencia al nacimiento de hipotiroidismo congenito (publicaciones del 2000 a la fecha). RESULTADOS: En 1,267,122 muestras adecuadas para el procesamiento bioquimico se encontraron 3,337 con TSH >10 mU/mL. Se confirmaron 923 casos, de los que 564 (61.1%) fueron ninas. La prevalencia al nacimiento fue de 7.3 por 10,000 recien nacidos. En la revision bibliografica solo se encontraron dos estudios con datos nacionales desglosados por entidad federativa, con una prevalencia de 4.1 y 4.3 x 10,000 recien nacidos. CONCLUSION: La prevalencia al nacimiento de hipotiroidismo congenito en los recien nacidos de la Secretaria de Salud de Mexico fue de 7.3 x cada 10,000 recien nacidos tamizados, lo que significa que uno de cada 1,373 tiene esta condicion; las ninas son las mas afectadas. El hipotiroidismo congenito aumento 1.8 veces en los ultimos 14 anos. PALABRAS CLAVE: Tamiz metabolico; hipotiroidismo congenito; hormona estimulante de la tiroides.
Effects of Rice Bran and Phytase Supplementation on Egg Laying Performance and Egg Quality of Laying Hens

Rice bran (RB) is a major by-product from the rice milling process. It contains high amounts of phytate and non-starch polysaccharides, which are considered to be two major antinutritional factors that limit the use of RB in poultry diets. This laying trial was conducted in which 150 Lohmann Brown laying hens were fed diets based on maize or rice bran to evaluate the effects of RB inclusion level and commercial microbial phytase Natuphos®5000 on their performance and egg quality. Five replicate groups of 18 weekold hens were assigned to six dietary treatments comprised of a control maize-soybean meal (MS) diet (Diet 1) and three diets, Diets 2, 3 and 4 with three levels of RB, 15, 25 and 35% respectively. In addition, Diet 4 was also supplemented with 1050 (Diet 5) and 1400 I.U/kg diet (Diet 6) of phytase enzyme (Natuphos®5000, BASF). Body weight (BW), feed consumption, feed conversion ratio (FCR), egg production and egg characteristics which includes egg weight, shell thickness, albumen height and yolk colour were measured in this study. At the end of the experiment (week 53), all five birds in each replicate were slaughtered and ileal content was harvested for amino acid (AA) and mineral analysis. In this study, using up to 35% RB in the diets was not detrimental to laying hens. Although feed consumption of the hens was similar among the treatments, supplemental of phytase significantly increased overall egg production. Phytase also improved shell thickness, body weight, feed conversion ratio and egg weight, but statistically it is non significant. Results of this study showed that percentage phosphorus in the excreta decreased and phosphorus (P) retention increased in birds fed 35% RB diets supplemented with phytase. From the improvement of P availability for birds, supplemental phytase enzyme reduces the need for conventional phosphate supplements and alleviates P pollution of the environment. In conclusion the utilization of RB at a dietary level up to 35% is beneficial to the laying hens industry in Malaysia. In addition, since the price of RB was cheaper than other major ingredients, dietary inclusion of 35% full-fatted rice bran (FFRB) lowered feed cost per egg produce by laying hens.
cDNA Microarray Analysis of Gene Expression in Pig Spleen Lymphocytes in Response to Extract of Raspberry

The present study was undertaken to investigate specific immune response of Rubus coreanus Miquel (raspberry) in pig spleen lymphocytes and gene expression induced by the extracts of raspberry using gene chip technology. The 70% ethyl alcohol extracts of raspberry were treated to pig spleen lymphocytes. The extracts of raspberry stimulated the proliferation of splenocytes and increased the population of CD3 & CD4 T-cells and B-cells in pig spleen lymphocytes. The extracts of raspberry improved immune response by increasing the viability of splenocytes. In microarray study we found eight genes were significantly up- regulated by the extracts of raspberry in pig splenocytes, including genes known to be involved in cell structure and immune response, particularly microtubule-associated protein 4, cytoplasmic dynein heavy chain, tumor necrosis factor alpha, lymphotoxin-beta receptor precursor. However, ten genes were down- regulated by the extracts of raspberry treatment.
Terminal location method with NLOS exclusion based on unsupervised learning in 5G‐LEO satellite communication systems

We investigate the terminal location method in 5G‐Low Earth Orbit (5G‐LEO) satellite communication systems. To overcome the dependence on the external Global Navigation Satellite System (GNSS), we propose to use a single LEO satellite in 5G‐LEO satellite communication systems for terminal location and utilize the downlink synchronization detection for pseudorange differential measurement. Then, a data clustering method of unsupervised machine learning is proposed to classify the measured data into line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) signals. Furthermore, the NLOS data are excluded, and the Taylor series expansion iteration method is used to calculate the terminal coordinates. Simulation results show that the proposed method can effectively reduce the influence of NLOS error on measurement results and improve the accuracy of terminal location. In simulated urban scenario, the average location accuracy is improved from 10 km by traditional methods to 0.7 km and the convergence time is reduced from 400 to 250s.
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things

In edge-enabled Internet of Things (IoT), computation offloading service is expected to offer users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing multiple tasks from users are occuring with the emergence of the IoT environment. Meanwhile, the current computation offloading with QoE is solved by deep reinforcement learning (DRL) with the issue of instability and slow convergence. Therefore, improving the QoE in edge-enabled IoT is still the ultimate challenge. In this article, to enhance the QoE, we propose a new QoE model to study the computation offloading. Specifically, the emerged QoE model can capture three influential elements: 1) service latency determined by local computing latency and transmission latency; 2) energy consumption according to local calculation and transmission consumption; and 3) task success rate based on the coding error probability. Moreover, we improve the deep deterministic policy gradients (DDPG) algorithm and propose a algorithm named the double-dueling-deterministic policy gradients (D3PG) based on the proposed model. Specifically, the actor network highly relies on the critic network, which makes the performance of the DDPG sensitive to the critic and thus leads to poor stability and slow convergence in the computation offloading process. To solve this, we redesign the critic network by using Double $Q$ -learning and Dueling networks. Extensive experiments verify the better stability and faster convergence of our proposed algorithm than existing methods. In addition, experiments also indicate that our proposed algorithm can improve the QoE performance.
Knowledge and Attitude on Pain Management among Final Year Nursing and Midwifery Students of Khesar Gyalpo University of Medical Sciences of Bhutan

Pain management is the most important component of nursing care process and it is crucial for nurses to have a good level of knowledge on pain management. A cross-sectional study was conducted among 44 final year General Nursing and Midwifery students at the Faculty of Nursing and Public Health, Khesar Gyalpo University of Medical Sciences of Bhutan in May 2016. Independent samples T- test was used to assess the association. The mean (SD) age of the respondents was 22.66 years (1.26). Over two-thirds (81.8%) of the participants had a poor level of knowledge and a majority (90.9%) of them had never been posted to a pain clinic. Over a half of them (56.8%) had negative attitude towards pain management. Independent samples t-test detected a significant difference in the mean knowledge scores between students who regularly used pain assessment scales and those who did not use the scales respectively. The study recommends to include pain management as a standalone module to better equip the nurses with knowledge on pain management. Mandatory posting of the students in pain clinic will provide the students with an opportunity to practice the skills.
Physicochemical characterization and extraction of bioactive compound from Larrea tridentata leaves

Larrea tridentata plant is originally from arid regions of Northern Mexico and South-western of United States and is commonly known as creosote bush or chaparral. This plant is a notable source of a bioactive compound called nordihydroguaiaretic acid (NDGA) with important biological activities of great interest in the health area [1]. The purpose of the present study was to perform a physicochemical characterization of Larrea tridentata leaves, and to evaluate the effect of different organic solvents on NDGA extraction and antioxidant capacity of the extracts. A high content of total lignin (35.96%) was found in Larrea tridentata leaves compared with other fractions, such as cellulose and hemicelluloses (10.09 and 13.10%, respectively). Larrea tridentata leaves contained 13.01% protein, 2.62% acetyl groups and 7.91% ash. NDGA extraction varied considerably according to the used solvent. Heating played an important role in NDGA recovery when using methanol; but did not influence the extraction with ethanol or acetone. The highest NDGA content (46.96 ± 3.39 mg/g DW plant) was recovered using 90% methanol. However, the highest total phenolic content (487.13 ± 27.68 mg GAE/g DW plant) was obtained using 90% acetone. All the extracts showed antioxidant capacity with similar results for DPPH radical scavenging activity. Different behavior was observed for FRAP results where extracts obtained using 50% and 90% methanol had significantly higher (p<0.05) values (2.58 ± 0.10 and 2.77 ± 0.19 mM FE(II)/ g DW plant, respectively) than the remaining extracts. These high antioxidant activity values for FRAP assay might be explained by the high TPC and NDGA concentrations in both extracts.
Semantic Annotation Approach for Information Search

Due to the needs to improve the information search process, new strategies have been created to enhance searches. The semantic search performs the search by means of meaning instead of literals. The semantic search in unstructured documents requires to formalize knowledge through an annotation semantic process. Some annotation proposals use natural language processing tools, ontologies to link document terms; others use the similarity of entities through the weight of the edges, association between pair of concepts or the ontology structure. In this paper we present an alternative for semantic annotation in unstructured documents by semantic context extraction of entities. In the approach we detect the named entities through a data dictionary created from Wikipedia and link the instances in the ontology. The context extraction strategy is based on the concepts similarity; each term is associated with an instance of the ontology and the similarity between relationships explicit is measured by the combination of two types of measures: the association between each pair of concepts and the weight of the relationships. The approach was tested with two ontologies and two datasets in news and business, respectively.