Miracle-dz/UniFAR-FTUs huggingface dataset:
Implantation de lentilles intraoculaires de petite ouverture dans une série de patients présentant des aberrations optiques

L'IC-8 (Acufocus, Irvine, Californie, Etats-Unis) est une lentille intraoculaire monofocale acrylique hydrophobe avec un masque annulaire opaque situe centralement mesurant 3,23 mm de diametre total avec une ouverture centrale de 1,36 mm. L'objectif principal de l'etude est d'etudier l'impact de cette lentille intraoculaire stenopeisante afin d’ameliorer la gene fonctionnelle des patients presentant un astigmatisme irregulier. Methodes: Etude prospective monocentrique portant sur 12 patients atteints d’une aberration corneenne monoculaire. Les plaintes fonctionnelles chez ces patients sont : une acuite visuelle limitee ou une diplopie monoculaire non ameliorable par une correction optique adaptee. Chaque patient a beneficie d’un examen preoperatoire avec une acuite visuelle corrigee de loin, une acuite visuelle au trou stenopeique, une refraction objective, une topographie corneenne et un examen a la lampe a fente. Ils ont ete operes par le meme operateur et revus en post-operatoire a 1 mois avec un interrogatoire sur leur satisfaction, une acuite visuelle corrigee et un examen clinique a la lampe a fente. Un seul des 12 patients n’a pas beneficie d’une phakoexerese mais d’un changement d’implant. Resultats : Sur les 12 patients operes, 5 ont ete operes sur un terrain de cicatrice corneenne et 7 ont ete operes sur un astigmatisme irregulier secondaire. L’acuite visuelle corrigee moyenne preoperatoire etait de 0,56 LogMAR, et la keratometrie moyenne etait de 43,20 dioptries. L’acuite visuelle corrigee moyenne post-operatoire de loin a un mois etait de 0,2 LogMAR soit une amelioration visuelle significative de 0,3 logMAR (p = 0,01). La qualite visuelle du patient s’est egalement vue etre amelioree par l’implant. Conclusion : L’IC-8 semble etre une bonne indication chez les patients presentant des aberrations corneennes afin de diminuer leur gene fonctionnelle. Nos resultats sont a ce jour mitiges avec des patients ameliores par cet implant et d’autres moins. Ainsi son indication chirurgicale semble etre a definir plus precisement afin d’obtenir des resultats plus homogenes.
Political Public Relations and Social Media: A Theoretical Review and the Case of Pakistan

The landscape of political communication has been changed or transformed due to growing popularity of social media. Since social media is based on 2-way communication, therefore, it provides an opportunity to initiate a dialogue and indulge in discussion with a large number of people. Therefore, this study is intended to explore the existing literature that how the politicians are taking full advantage of social media to connect with the audiences and communicate the political ideologies around the globe and then critically analyze the current scenario in Pakistan that how social media is being used by the politicians of Pakistan? Another objective of this study is to explore that what type of researches can be conducted in future regarding social media and political communication in Pakistan. It is important to consider that if used properly the technology can have a significant effective role (Kent, 2013) in any democratic society. Moreover, it has been concluded that in future no research in the field of democracy and political communication would be complete without studying and including the relationship and importance of new technology in the field of information and communication.
Comparison of Spatial Averaging Methods of In Situ Electric Field for Low-Frequency Magnetic Field Exposures

In the low-frequency (LF) electromagnetic dosimetry, two spatial averaging methods, volume averaging and line averaging, have been prescribed by ICNIRP and IEEE. However, their detailed implementations have not been explicitly mentioned yet, particularly when the averaging volume/line straddling across tissue/tissue and air/tissue interfaces. In this present paper, a total of four spatial averaging methods (two for volume averaging and two for line averaging) are proposed and investigated. The influence of the air/tissue adjacent to the specific tissue on interest is also discussed by introducing the maximum allowed percentage of air/other tissue in the averaging volume/line. The result reveal that the percentile in situ electric fields for the four averaging methods are comparable, neither method is likely to cause a significant difference between ICNIRP and IEEE with respect to dose estimation. With a ~20-30% inclusion of air/other tissue in averaging, stable percentile values are observed for internal tissues for volume averaging, with less stability observed for line averaging.
Traction System with MRAS Sensorless Vector Control and PSM Technique

With the advancement of control philosophies, induction motor emerged as traction motor precluding the DC series motor known for a long time for such an application. Due to stringent harmonic requirements of traction systems, the focus is to reduce the harmonics within a multi converter active front ends. For reliability and maintenance concerns, Sensor less speed control has become popular. The purpose of this article is to study the phase shifted modulation (PSM) technique for reduction of harmonics in multi converter front ends with unity power factor. Sensorless Speed estimation technique using MRAS along with the indirect vector control of traction motor is implemented. Reactive power based MRAS scheme is used for developing speed estimator which can eliminate the physical speed sensor. Performance of the overall system is observed. 
Simulation of Frequency Agile RF MEMS Antennas Using WIPL-D

This paper investigates the feasibility of using a commercial electromagnetic solver WIPL-D Microwave to completely model frequency reconfigurable patch antennas based on packaged RF MEMS switches. The objective is to combine a 3D analysis of the antenna with a microwave circuit analysis in order to properly account the MEMS switch RF characteristic, the influence of MEMS encapsulation and the effects of the DC actuation circuit on the overall antenna performance. The results from the proposed simulation procedure are validated experimentally using a manufactured printed antenna prototype designed to switch between two frequencies in the 2 to 3 GHz range.
La plausibilidad biológica entre la periodontitis crónica y el infarto cerebral isquémico

Introduction: True periodontal pockets are an important reservoir of gram-negative bacteria which may exert an influence on distant sites in a variety of manners, bringing about systemic alterations such as diseases derived from atherosclerosis. Objective: Explain the theoretical foundations supporting the proposal of chronic periodontitis as a risk factor for ischemic stroke. Content: 1) Atherosclerosis and cerebrovascular disease, an overview of their pathogenesis. 2) The periodontal microbiota, bases for its association with atherosclerosis and ischemic stroke. Topic presentation: Inflammation is an element of vital importance in all the stages of the atherosclerotic process, be it its onset, progress or complications. By their nature, chronic immunoinflammatory periodontal diseases and the associated anaerobic subgingival infection, constitute a metastatic injury that produces and spreads inflammatory mediators leading to atherosclerosis and participating in the colonization and rupture of atheromatous plaques, which are processes involved in the pathogenesis of ischemic stroke. Final considerations: Better knowledge about the risk relationship between chronic periodontitis and ischemic stroke would allow a rational use of strategies for the prevention and treatment of cerebrovascular disease based on detection of inflammatory processes such as chronic periodontal conditions.
Effective Psychological Treatments for PTSD: Cognitive Processing Therapy: (717262011-001)

Posttraumatic stress disorder (PTSD) is characterized by persistent symptoms of re-experiencing, avoidance and arousal related to a traumatic event in which an individual experienced intense fear, helplessness and/or horror. Prevalence rates for PTSD in a large, nationally representative sample reported an overall lifetime PTSD rate of 7.8%. 2 PTSD is often more common in trauma-specific populations, such as those who experienced sexual assault, natural disaster or military combat. Active-duty service members deployed in support of Operation Enduring Freedom and Operation Iraqi Freedom are at high risk for exposure to traumatic events, with an estimated 12%-14% having PTSD. 8, 9
Studies of Unequal Cleavage in Molluscs: I. Nuclear Behavior and Anchorage of a Spindle Pole to Cortex as Revealed by Isolation Technique

Unequal division of the eggs of Spisula solidissima was studied by isolating the nuclear elements. The isolation technique consists mainly of the use of Na‐lauryl sulphate with occasional inverting of the container of alcohol‐fixed eggs. The procedure was applied to the following stages. (1) germinal vesicles, (2) 1st maturation division, showing anchorage of a spindle pole to the cortex, (3) 2nd meiosis, (4) pronuclear encouter, (5) metaphase, (6) shifting of the metaphase spindle to one side of the cell and a contact with the cortex, (7) ana‐ and telophase of the 1st division.
Current Status of Talent Management in Japan, Japan Labor Issues Vol.2 No.5

The objective of this article is to clarify the current situation of Talent Management in Japan. Despite the lack of a common definition of Talent Management, it is developing into an area that draws much attention in the personnel management field from both researchers and practitioners. This article focuses on (i) how talent pools are formed within organizations, (ii) actual status of growth opportunities made available for human resources after talent selection, and (iii) relationship between introducing Talent Management systems and Japanese-style human-resource development practices.According to the qualitative research we conducted, this article is to reveal that (i) two methods are used to create pools, i.e. position-based and people-based, (ii) companies make attempts to develop long-term plans, at least for human resources seen as having potential, (iii) initiatives based on people rather than on positions seem intended to change companies’ existing promotion practices, and (iv) in implementing talent management, the utilization of diverse human resources (greater flexibility regarding their attributes) is advancing, and some companies intend to develop human resources that have the company “color” to some extent but are not all exactly the same shade.
Delignification As The Early Process Of Bioethanol Production From Paper Waste By Aspergillus Fumigatus

This initial laboratory-scale research was carried out to test the potential of HVS paper waste as biomass containing lignocellulose to become bioethanol, an alternative energy source using the enzymatic ability of Aspergillus fumigatus fungi. Lignocellulosic biomass is a renewable resource of bioethanol raw material. This research was carried out by cultivating A. fumigatus fungi on Potato Dextrose Broth media and mechanically preparing the HVS paper waste into a paper pulp as the substrate. During the pretreatment process, A. fumigatus fungi were added to the container containing the substrate, in the ratios of 1:1, 1:5, and 1:10 respectively. The lignin level was determined using the gravimetric method with pretreatment conducted at each ratio using a contact time of 24, 72, and 120 hours. This was followed by hydrolysis to obtain sugar through fermentation, which was measured by the DNS method. The highest lignin removal efficiency at the pretreatment stage was 8.2%, while the hydrolysis stage produced as much as 1.288 g/L of sugar. Although the lignin removal efficiency was very low and the sugar produced was not much, this research provides some important information on the use of HVS paper waste as a bioethanol raw material and A. fumigatus fungi as a promising biocatalyst for future production.
DNA Based Storage: Introduction, Characteristics, Applications and Challenges

Over the years, as humans have made progress, data has come to the forefront and has become one of the principal elements of life. No matter the field, all aspects of life are now dependent on data in one way or the other. Be it hospitals or financial institutions; sports teams or researchers, all operate on some form of data during their functioning. This ever-increasing dependency on data further leads to the need for its storage. The capability of present storage mechanisms is not able to keep up with the exponentially increasing demand. This along with other factors such as high setup costs, high maintenance charges, security, and accessibility are pushing towards an alternative avenue of storage. DNA or the code of life is very similar to the binary based data systems that we operate on, hence is being looked at, as the alternative to conventional methods. This field has seen massive amounts of developments in the recent past and is finding a strong footing. Its theoretical capability to store all the data ever created in a finger-sized device is one of the many factors, which makes it such an interesting field to study and know about. This paper describes how this domain of storage system(s) basically functions, the work is done in this field in the past, its advantages and limitations along with the challenges that this domain needs to overcome to become practically viable bringing a paradigm shift in computing.
Statistical Time Series Methods for Multicopter Fault Detection and Identification

This work presents the use of statistical time series methods to detect and identify rotor failures in multicopters. A concise overview of the development of various time series models using scalar or vector signals, statistics, and fault detection and identification methods has been provided. The statistical methods employed in this study are based on parametric time series representations and response-only signals of the aircraft state, as the external excitation is non-observable. The comparative assessment of the effectiveness of scalar and vector statistical models and several residual-based fault identification methods are presented in the presence of external disturbances, such as various levels of turbulence and uncertainty, and for different rotor failure scenarios. Fault identification (classification) of different rotor failures has been performed upon post-failure controller compensated steady state signals. Vector models, being more elaborate models than their scalar counterparts, exhibit superior performance in fault identification. On the other hand, residual uncorrelatedness method have greater capability to differentiate between the different rotor failures than residual variance method.
Interaction between the DNA repair machinery and the adeno-associated virus (AAV) : vector transduction and site-specific integration

Adeno-associated virus type 2 (AAV-2) is a nonpathogenic, replication defective parvovirus containing a single-stranded DNA genome of 4.7 kb. Despite the increasing utilization of recombinant vectors derived from this virus (rAAV) in gene transfer applications, several aspects of the biology of both the wild type virus and of its vectors remain poorly understood. Here we developed a technique to visualize the conversion of rAAV vector genomes from single-stranded (ss) to double-stranded (ds) DNA in real time. We report that rAAV DNA accumulates into discrete foci inside the nucleus. These rAAV foci are defined in number, increase in size over time after transduction, and their presence correlates with the efficiency of cell transduction. These structures overlap with, or lie in close proximity to, the foci in which proteins of the MRN (Mrell-Rad50-Nbsl) complex and Mdcl accumulate after DNA damage. Silencing of Nbsl or Mdcl by RNA interference markedly increases the formation of rAAV foci, the extent of rAAV transduction, and AAV Rep dependent site-specific integration at chromosome 19q.l3. 3-qter, so called AAVS1 locus. The adenovirus E4orf6 and ElB55k proteins-mediated degradation of the MRN complex also correlated with high levels of rAAV transduction and foci formation. Taken together, these observations indicate that the MRN complex plays an inhibitory role at the level of rAAV ss to double-stranded DNA (dsDNA) genome conversion, vector transduction, and site-specific integration. On the other hand, similar experiments using siRNAs against histone H2AX, Rad52, and DNA-PKcs indicated that these factors are required for effective rAAV transduction and site-specific integration.
Subjective Time and Decisions: The Role of Perception and Experience of Time in Consumer Decision Making

SESSION OVERVIEW Almost every decision that a consumer engages in has a temporal dimension. For instance, consumer decisions on which shipping option to choose and how long to wait for service, whether and when to save for future, decisions to keep on waiting on hold when calling customer service or renege from queue, all involve time decisions. While oftentimes the end behavioral variable studied varies, e.g. line chosen, time delivery option, renege or stay; most of them deal with first making a time estimate that is often biased that then leads them to display a downstream behavior. Prior research in different domains have often looked at this problem as either a pure time perception problem or alternatively as an intertemporal decision with the implicit or explicit assumption that time perceptions are unbiased and it is the outcomes valuation that changes at different points in time. Unlike previous research, the three papers in this symposia systematically study how consumers perceive and experience time, and point out the important consumer behavior implications in intertempooral as well as non-temporal settings. Specifically, these three papers explore
Adaptive Intelligent Control of Robot Manipulators

In this paper, we study the performance of two adaptive robot control algorithms, namely the adaptive algorithm by Slotine and Li [20] and the proposed Indirect Adaptive Fuzzy Control algorithm. In Slotine and Li’s method, the algorithm consists of a PD feedback and a full dynamics feedforward part, with the unknown manipulator and payload parameters being estimated on-line. This algorithm depends heavily on the particular structure of manipulator dynamics and needed three simplifying properties to derive the adaptive law. The proposed Indirect Adaptive Fuzzy Controller (IAFC) uses a fuzzy system as an approximator for the robot dynamics. The adaptive law updates the unknown dynamics online. The estimated dynamics are then used in the control law. The predominant concern of the two algorithms is to reduce the tracking errors. In particular, they require no feedback of joint accelerations. Theoretical results and simulation studies on a SEIKO D-TRAN 3000 series robot manipulator show that both methods are robust and stable. The IAFC outperforms the adaptive controller of [20] in mass variation.
False Positive Rifampicin Resistance among HIV Patients attending Bahati Comprehensive Care Centre, Nairobi, Kenya

Introduction: Tuberculosis is a chronic airborne and infectious disease which remains a leading cause of death in people living with Human Immunodeficiency Virus (HIV). Globally in 2018, there were 251,000 documented cases of death in HIV positive people. Timely diagnosis of tuberculosis and detection of drug resistance to TB drugs in such patients remains a challenge because of non specific presentation and disseminated nature of the disease. GeneXpert MTB/RIF assay is a molecular technique capable of simultaneously diagnosing tuberculosis and providing susceptibility status of rifampicin which is a surrogate marker of multidrug resistant tuberculosis. Despite the improved detection capacity in both tuberculosis and rifampicin susceptibility status previous studies have reported on false positive rifampicin resistance associated with Xpert MTB/RIF assay.
Evidence-Based Medicine

This chapter marks a turn away from asking what medicine is, and toward asking what we should think of it. Evidence-Based Medicine (EBM) is the most influential development in thinking about attitudes to medicine in recent times. EBM has a prescription for medicine: make clinical decisions on the basis of “best evidence,” which is defined in a specific way. We should think more highly of interventions whose use is supported by better evidence. EBM also has a prescription for patients: hold your doctor to account, asking her to justify her proposed intervention in these terms. The chapter evaluates both prescriptions, and argues that, while both have their place, neither is a panacea.
Prediction of type 2 diabetes mellitus onsetusing simple logistic regression models

Diabetes mellitus has a world death rate of 1.6 million (2016) of which Type 2 diabetes mellitus (T2DM) accounts for ~90% of all cases. Early detection of T2D high-risk patients can reduce the incidence of the disease through a change in lifestyle, diet, or medication. Since lower socio-demographics layers are more susceptible to T2D and might have limited resources for laboratory testing, there is a need for accurate prediction models based on non-laboratory parameters. Here, we analysed data of 44,879 non-diabetic, UK-Biobank participants at the ages 40-65 within a time frame of 7.3{+/-}2.3 years. We devise a non-laboratory prediction model for T2DM onset probability using sex, age, weight, height, waist, hips-circumferences, Waist-Hips Ratio (WHR) and Body-Mass Index (BMI). This model achieved an Area Under the Receiver Operating Curve (auROC) of 0.82 (0.79-0.84 95% CI) and an odds ratio (OR) between the top and lowest prevalence deciles of x42 (33-49). The logistic regression top predictive parameters are WHR with OR of 0.67 (0.49-0.88 95%CI) followed by BMI with OR of 0.53 (0.26-0.79). We further analyse the contribution of laboratory-based parameters and devise a blood-test model based on only five blood tests. In this model, we are using age, sex, Glycated Hemoglobin (HbA1c%), reticulocyte count, Gamma Glutamyl-Transferase, Triglycerides, and HDL cholesterol to predict T2D onset more accurately. This model achieves an auROC of 0.89 (0.87-0.92) and a deciles' OR of x59 (27-75). We also analysed a model that included genotyping data and other environmental factors and found that it did not provide further benefit over the five-blood-tests model. Our models outperform the current state of the art, non-laboratory, Finnish Diabetes Risk Score and the German Diabetes Risk Score, trained on our data, achieving auROC of 0.74 (0.7-0.77) and 0.63 (0.59-0.67), respectively.