Miracle-dz/UniFAR-FTUs huggingface dataset:
Des consensus tout sauf mous

Michel Raynal, Professeur à l’université de Rennes 1 et membre senior de l’Institut universitaire de France est un passionné. Il aime les voyages, adore la littérature, ne se lasse pas des côtes bretonnes (malgré ses origines du Sud-Ouest), encore moins du rugby (probablement en raison de ces mêmes origines). Michel aurait pu devenir un grand scientifique dans bien des domaines. C’est dans l’informatique qu’il est tombé, et plus particulièrement dans cette même région de l’Ouest où d’autres se sont retrouvés dans une marmite de potion magique. Michel Raynal est le lauréat du SIROCCO Innovation Award 2015 pour ses travaux en informatique distribuée. C’est l’occasion de découvrir ce domaine passionnant.
High-performance transparent heater with Ag paste-based nanomesh electrodes

Transparent heaters have attracted significant attention in recent years because of their wide range of potential applications, including defogging and defrosting windshields, thermochromic smart windows, and wearable heating devices. This paper presents a comparison of the performances of a transparent heater with nanomesh electrodes and that with micromesh electrodes. Both transparent heaters exhibit excellent basic characteristics, with an optical transmittance of more than 90%, and sheet resistance of less than 2 Ω/□. From the thermal response time tests, we observed a shorter thermal response time of 30 s for the nanomesh heater. This is because the heater must warm the transparent area; hence, the smaller transparent area of the nanomesh is more advantageous for a transparent heater. Furthermore, the nanomesh transparent heater exhibited excellent heating stability and performance at various sizes. The promising results of this study can facilitate significant and practical applications of transparent heaters, such as windshields for vehicles.
Ultrasound guided technique versus landmark technique for caudal epidural block in children: A randomized controlled study

The aim of this study was to compare the two modalities of performing caudal block – ultrasonography guidance and conventional landmark technique in terms of time taken to perform the block, number of attempts to perform the block, block success at first puncture, haemodynamic changes and complications. : The study was conducted in Department of Anaesthesiology, NKP Salve Institute of Medical Sciences and Research Centre and Lata Mangeshkar Hospital, Nagpur. It was a prospective randomized single blinded study. : This study was conducted in 62 grade ASA I and II patients of both sexes between age group of 2 - 8 years posted for elective surgeries below the level of umbilicus. Patients were randomized into 2 groups: Group C (Conventional technique) (n = 31) and group U (Ultrasound technique) (n=31) Caudal solution was prepared as Inj 0.2% Ropivacaine with Inj Fentanyl 2 mcg/kg with dosage according to Armitage formula, and was administered to both groups. The block performing time, the block success rate, the number of needle puncture, the success at first puncture and the complications were recorded. The analysis was 2 tailed and significance level was set at 0.05. : The mean block performance in group C was 39.3 ± 10.9 seconds while that of the Group U was 52.2 ± 11.4 seconds (P = 0.001). The time taken for identification of the caudal epidural space in Group C was 15.74 + 8.05 seconds while that of the Group U was 24.26 + 8.89 seconds (p = 0.0002). There was no significant difference noted in the number of attempts taken for the block in between both the groups. C group had a success rate of 61.29% in the first attempt while U group has a success rate of 90.32%. (p = 0.008). C group had a success rate of 83.87% while U group has a success rate of 100%. (p = 0.008). The only complication seen in the study was subcutaneous bulging which was seen significantly more in patients of C group compared to U group. Subcutaneous bulging was seen in 8 patients of C group and in 2 patients of U group. Despite the limitations in central neuraxial anesthesia we recommend the use of ultrasound since it reduces the complications and increases the success rate of first puncture in pediatric caudal injection.
Perfil demográfico y clínico de la poliarteritis nodosa sistémica y cutánea en un grupo de pacientes pediátricos de Medellín, 2010-2019

Objetivo: describir las principales características demográficas y clínicas de los pacientes pediátricos con poliarteritis nodosa (PAN). Metodología: estudio descriptivo retrospectivo. Resultados: se obtuvieron las historias clínicas de menores de 18 años con diagnóstico de vasculitis o PAN atendidos entre el 2010 y 2019 en dos hospitales de Medellín. Se incluyeron 19 pacientes, 11 clasificados como PAN cutánea (PANC) según la definición de la Liga Europea contra el Reumatismo y la Sociedad Europea de Reumatología Pediátrica, y 8 como PAN sistémica (PANS) acorde con los criterios de Ankara 2008. El 57,9 % fueron varones (n = 11). La mediana de la edad en el diagnóstico fue 10 años (3-17 años) y del tiempo de seguimiento: 15 meses (0-105 meses). Las manifestaciones más frecuentes fueron nódulos subcutáneos (84,2 %), fiebre (57,9 %), artralgias (57,9 %) y dolor en las pantorrillas (52,6 %). Los pacientes con PANS presentaron más pérdida de peso y hemoglobina baja. 5 niños cursaron con úlceras (26,3 %) cuatro con PANC; 2 exhibieron necrosis lingual (10,5 %) y 2 necrosis digital (10,5 %), todos con PANC. El promedio de la PCR fue de 10,2 mg/dl (0,33-45,3) y, de la eritrosedimentación: 74 mm/hora (15-127 mm/hora). En las imágenes hubo un realce meníngeo, aneurismas intrahepáticas y mesentéricos, entre otros hallazgos. Todos recibieron esteroides sistémicos. Ninguno falleció. Conclusión: en esta serie, la PAN pediátrica fue más común en niños de edad escolar. La PANC fue más frecuente que la PANS. Las manifestaciones más descritas fueron los nódulos subcutáneos, las mialgias, la fiebre, las artralgias y el dolor en las pantorrillas. Aunque se ha considerado la PANC como una enfermedad benigna, estos pacientes pueden requerir tratamiento con glucocorticoides e inmunosupresores.
E-Learning as Organizational Strategy

The global knowledge-driven economy is characterized by both structural and personnel changes that are driving new models of teaching and learning. Today’s workforce has to learn and process more information in a shorter amount of time. New products and services are emerging with accelerating speed. As production cycles and life spans of products continue to shorten, skills quickly become obsolete, leading to the need for almost constant re-training. Managers feel the urgency to have new knowledge delivered to workers rapidly and efficiently so that skill levels can be maintained. Just-in-time training is becoming a critical element of organizational success. Learning is becoming a continual process rather than a distinct event (Urden & Weggen, 2000). The rapid deployment of new information and communication technologies (ICTs) in education is facilitating broad-based responses to the need for new knowledge to support learning. Teaching and learning for education and training are taking place outside traditional institutional and workplace venues. Universities and for-profit companies are both responding to the need for technological approaches to teaching and learning, sometimes as partners and sometimes as competitors (Barron, 2002; Brint, Paxton-Jorgenson, & Vega, 2003; Harley, 2004). They are both included in models of transnational education, borderless education, distributed learning, online learning, Web-based learning, distance learning, and global e-learning (Rocket, 2002; van der Wende, 2002).
Superdiseminadores durante la pandemia del SARS-CoV-2 en Cartagena, Colombia

Introducción: la diseminación de agentes infecciosos en una población puede ocurrir de forma homogénea o heterogénea. El SARSCoV-2 tiene transmisión heterogénea por los superdiseminadores (SD, individuos con ciertas características que transmiten la infección a un 80% de la población expuesta). Objetivos: describir las características de los SD en los primeros casos de COVID-19 en Cartagena, Colombia. Metodología: estudio de vigilancia epidemiológica realizado entre el 25 de febrero y el 20 de abril del 2020 por el Comité de infecciones de la clínica Gestión Salud y el Departamento Administrativo Distrital de Salud, a casos sospechosos, confirmados por T-PCR para SARSCoV-2 y contactos estrechos de casos confirmados de COVID-19.Resultados: en 30 días se confirmaron dos pacientes SD, 21 casos secundarios (10 y 11, por cada paciente) y dos terciarios. El 1er SD inició síntomas 48 horas después de la exposición, fue hospitalizado al séptimo día de iniciado los síntomas y falleció a las 72 horas dehospitalización. El 2do SD hospitalizado por cetoacidosis diabética, con posterior hallazgo de anosmia y disgeusia, permaneció en UCI unmes. De los casos secundarios, el 9,5% (2/21) fueron hospitalizados en UCI, 47% (10/21) en sala general y 42% (9/21) estuvieron en cuarentena.El 61% (14/23) de los contagiados fue personal de la salud.Conclusiones: los SD son importantes en la dinámica de transmisión de infecciones. El no reconocimiento o el diagnóstico errado en un paciente con infección por SARS-CoV-2, junto con la transferencia interhospitalaria, son las principales causas de la generación de un número desproporcionado de casos secundarios.
Adaptability and stability of eggplant submitted to different levels of shading via REML/BLUP

ABSTRACT This study aimed to evaluate the eggplant genotype x environment ineraction, using the REML/BLUP procedure, in order to identify genotypes with high productivity, adaptability and phenotypic stability. The experiments were carried out in agricultural greenhouses, in two seasons, with three types of shading: uncovered (UC); covered with plastic diffuser film (PD), 130 microns thick, covered with plastic diffuser film (130 micron) + 50% shading screen (SS). Twelve eggplant genotypes were evaluated, with four replicates and an experimental plot consisting of four plants. The traits evaluated in this study were: fruit set index, number of fruits per plant, average production of fruits/plant and in vitro pollen viability. To assess the adaptability and stability of the genotypes, statistical analyzes and estimation of genetic parameters were performed using the mixed-models of REML/BLUP type, with the aid of SELEGEN software and the statistical model 51. According to the results obtained, the authors verified an agreement between the three methods: Relative Performance of Genetic Values (PRVG), Harmonic Average of Genotypic Values (MHVG) and Harmonic Mean of Relative Performance of Genetic Values (MHPRVG) for average fruits production per plant (PP), number of fruits per plant (NF) and in vitro pollen viability (IVPV), showing the high degree of agreement in the ordering of materials. Thus, it is possible to indicate that the genotypes with the best productive performance, adaptability and stability in the evaluated environments were CNPH135×CNPH60, CNPH135×CNPH51, CNPH135×CNPH141, CNPH109, CNPH109×CNPH60 and CNPH109×CNPH141.
Energy and Cost Efficient Data Centers

Data centers need efficient energy management mechanisms to reduce their consumption, energy costs and the resulting negative grid and environmental effects. Many of the state of the art mechanisms come with performance overhead, which may lead to service level agreement violations and reduce the quality of service. This thesis proposes novel methods that meet quality of service targets while decreasing energy costs and peak power of data centers. We leverage short term prediction of green energy as a part of our novel data center job scheduler to significantly increase the green energy efficiency and job throughput. We extend this analysis to distributed data centers connected with a backbone network. As a part of this work, we devise a green energy aware routing algorithm for the network, thus reducing its carbon footprint. Consumption during peak periods is an important issue for data centers due to its high cost. Peak shaving allows data centers to increase their computational capacity without exceeding a given power budget. We leverage battery-based solutions because they incur no performance overhead. We first show that when using an idealized battery model, peak shaving benefits can be overestimated by 3.35x. We then present a distributed control mechanism for a more realistic battery system that achieves 10x lower communication overhead than the centralized solution. We also demonstrate a new battery placement architecture that outperforms existing designs with better peak shaving and battery lifetime, and doubles the savings. Data centers are also good candidates for providing ancillary services in the power markets due to their large power consumption and flexibility. This thesis develops a framework that explores the feasibility of data center participation in these markets, focusing specifically on regulation services. We use a battery- based design to not only help by providing ancillary services, but to also limit peak power costs without any workload performance degradation
Why Should that Convince Me?: Teaching Toulmin Analysis Across the Curriculum

Experienced provers employ a host of skills when assessing the validity of a justification, often without names for those skills. This paper offers an introduction to a lens called Toulmin analysis that can help make sense of this process. Then this paper describes both an in-class module to help students learn to apply Toulmin analysis and multiple ways this module can be integrated into courses for mathematics majors and non-majors. Toulmin analysis has helped us bring human dimensions of proving to the surface in our classrooms, and it helps us build stronger and more inclusive entryways for students into mathematical communities. Learning about Toulmin analysis helps our students connect mathematical reasoning to other thinking, supporting transfer in both directions, and it has changed our thinking about the teaching and learning of mathematics even in contexts where we do not devote class time to this model overtly.
The clinical features, management, and survival of elderly patients with gastric cancer.

Background It is anticipated that the number of elderly patients with gastric cancer (GC) will increase with population aging; however, most studies on GC set the upper age limit at 80 years old, studies on the prognosis of elderly patients with GC over 80 years old is very limited. In this study, we conducted a retrospective analysis of this sub-cohort. Methods This retrospective cohort study aimed to analyze the clinical data of patients aged >80 who died of GC in People's Liberation Army General Hospital between 1985 and 2020. We collected clinical informations about pathological GC types, differentiation degrees, clinical stages, anatomic sites and Bormann types of the selected case. Characteristics of participants, such as smoking, drinking, and tumor history, age, gender, and complications, were also recorded. The Kaplan-Meier method, a multivariate Cox multivariate proportional hazard model, and logistic regression were used to analyze the patient overall survival (OS) rates and treatment outcomes. Results The study included 92 patients (83.7% men) with a median OS of 45 months. The most common site for GC was the gastric antrum (GA), the most common site of metastatic spread was the liver, and the most common pathological GC type was tubular adenocarcinoma/papillary adenocarcinoma (TAC/PAC). Furthermore, the prevalent complications were hypertension, coronary heart disease, and diabetes. Diabetes was a risk factor affecting the total survival time [hazard ratio (HR) =2.326, P=0.029]. The most often-used GC treatment was curative surgery. The survival time was significantly longer in the curative surgery group and curative surgery + adjuvant chemotherapy group compared with the support care group (HR =0.119, P=0.001; HR =0.110, P=0.001). There was no significant difference in survival time among the palliative chemotherapy group, palliative surgery group, and support care group. Tumor staging was significantly correlated with OS rate, the median survival time of patients at stage III and stage IV GC were significantly lower than the median survival time of patients at stage I GC (HR =6.235, P=0.001; HR =30.955, P=0.001). Conclusions For patients over 80 years old with good physical conditions in the early stage of GC, more active treatment can still bring better prognosis.
A new power MEMS component with variable capacitance

Autonomous devices such as wireless sensors and sensor networks need a long battery lifetime in a small volume. Incorporating micro-power generators based on ambient energy increases the lifetime of these systems while reducing the volume. This paper describes a new approach to the conversion of mechanical energy, available in vibrations, to electrical energy. The conversion principle is based on charge transportation between two parallel capacitors. An electret is used to polarize the device. A large-signal model was developed, allowing simulations of the behavior of the generator. A small-signal model was then derived in order to quantify the output power as a function of the design parameters. These models show the possibility of generating up to 40 muW with a device of 10 mm 2. A layout was made based on a standard SOI-technology, available in an MPW. With this design a power of 1 muW at 1020 Hz is expected.
Graph based learning for building prediction in Smart Cities

Anticipating pedestrians’ activity is a necessary task for providing a safe and energy efficient environment in an urban area. By locating strategically sensors throughout the city useful information could be obtained. By knowing the average activity of those throughout different days of the week we could identify the typology of the buildings neighboring those sensors. For these type of purposes, clustering methods show great capability forming groups of items that have great similarity intra clusters and disimilarity inter cluster. Different approaches are made to classify the sensors depending on the typology of buildings sorrounding them and the mean pedestrians’ counts for different time intervals. By this way, sensors could be classified in different groups according to their activation patterns and the environment in which they are located through clustering processes and using graph convolutional networks. This study reveals that there is a close relationship between the activity pattern of the pedestrians’ and the type of environment sensors that collect pedestrians’ data are located. By this way, institutions could alleviate a great amount of effort needed to ensure safe and energy efficient urban areas, only knowing the typology of buildings of an urban zone.
Variations of Rotating Savings and Credit Associations for Community Development

Informal financial cooperation strategies have emerged as a solution to improve the resilience of low-income communities, being one of the most popular ones the rotating savings and credit associations (ROSCAs). In this article, using computational tools and dynamical systems modeling, we study the performance of two variations of ROSCAs that can potentially increase the resilience of communities. First, we propose a strategy that saves a percentage of the contributions of each member of the ROSCA to reduce the impact of individuals who stop contributing to the association and study how this strategy impacts the financial life of the individuals and trust among community members. Second, we study a decentralized version of the ROSCA in which individuals contribute to more than one association and analyze the impact of the size of the cooperation scheme and the number of associations where each individual participates. Through mathematical and simulation analyses, we show how the cooperation strategies impact the resilience of low-income communities.
Statistical study for utilization of institutional delivery: An evidences from NFHS data

Objectives: The health of women during pregnancy and child birth is crucial for the mother and her children. The purpose of this study is to examine the determinants and current status of institutional deliveries in Uttar Pradesh on NFHS-4 data. Materials and Methods: The information collected from women who had a live birth in the five years preceding the survey. The study used bivariate analysis and logistic regression to examine the individual and household characteristics of women utilizing institutional delivery. Results: Findings reveal that 70 percent of women go for institutional delivery in Uttar Pradesh. Women’s education, parity, exposure of mass media, ANC visits, wealth index and place of residence were found to be most significant predictor of institutional delivery. Highly educated women were 3.85 times and lower parity women were 2.38 times significantly more likely to prefer institutional delivery. Urban women were slightly in better position to prefer (1.23 times) to deliver child at institution than rural women. Conclusions: The logistic regression results reveal that utilization of institutional delivery is influenced by maternal age, women’s educational level, birth order, mass media exposure, ANC visits, religion, caste, wealth index and type of residence. This study specified the need for an adequate health strategy for the target population and policy implementation to improve maternal healthcare.
THE EFFECT OF THE EXISTENCE OF WOMEN BOARD OF DIRECTORS IN THE BOARD OF DIRECTORS ON ACCURAL EARNINGS MANAGEMENT

Tujuan dari penelitian ini adalah untuk menguji apakah terdapat pengaruh pada keberadaan wanita dalam jajaran direksi dan persentase direksi wanita terhadap perilaku manajemen laba akrual. Penelitian ini dimulai dengan asumsi bahwa dengan hadirnya wanita dalam jajaran direksi dan persentase dewan direksi wanita dapat mengurangi terjadinya praktik manajemen laba, dengan pengambilan sampel menggunakan perusahaan yang masuk ke dalam LQ 45 selama tahun 2016-2020, sehingga jumlah observasi sebanyak 115 dan menggunakan purposive sampling sebagai teknik pengambilan data. Berdasarkan dua hipotesis yang diajukan yaitu keberadaan direksi wanita berpengaruh negatif terhadap perilaku manajemen laba akrual dan persentase direksi wanita memiliki pengaruh negatif terhadap perilaku manajemen laba. Maka, hasil penelitian yaitu variabel keberadaan wanita dalam jajaran dewan direksi berpengaruh negatif terhadap manajemen laba, sedangkan variabel persenstase direksi wanita berpengaruh positif terhadap manajemen laba.