Miracle-dz/UniFAR-FTUs huggingface dataset:
Bromfenac 0.09% ophthalmic solution for postoperative pain and ocular discomfort after cataract surgery with phacoemulsification

Цел Да се изследват ефектите на бромфенак 0.09% (Bromfenac 0.09%) за очно приложение при лечение на болка и други очни симптоми след операция на катаракта. Материали и методи Проследени са 51 пациенти (61 очи), планирани за операция за отстраняване на катаракта чрез факоемулсификация. Те са случайно разпределени в две групи: в едната получават стандартната постоперативна локална терапия, а в другата е добавен бромфенак 0,09%. Всички пациенти попълват въпросници, касаещи локална болезненост и други очни симптоми, предоперативно и при три следоперативни визити. Резултатите са обработени чрез SPSS (v22.0) и поради липсата на нормално разпределение, данните са анализирани чрез методите на непараметричен анализ. Променливите са представени с техните медианни стойности, а нулевата хипотеза е тествана при доверителен интервал от 95% (CI=95%). Резултати В деня след операцията 80.8% от тестовата група дават оценка за зрението си „много добро“ и „отлично“, докато 68.6 % от контролната са маркирали „добро“ или по-висока. След седмица средната субективна оценка за качеството на зрението е значимо по-висока за тестовата група в сравнение с контролната. Тази тенденция се запазва в края на месеца, но разликата не е статистически значима. В деня след операцията 92.3% от тестовата група и 88.6% от контролната смятат зрението си за стабилно през повечето или през цялото време (p=0.05). Заключение Bromfenac 0.09% очни капки, в допълнение към стандартното постоперативно лечение, показва добра ефективност не само по отношение облекчаване на постоперативния очен дискомфорт след неусложнена факоемулсификация, но и за по-бързото постигане на стабилна рефракция и зрителна функция след операция на катаракта. Успешният резултат не се ограничава само до добре извършена, неусложнена процедура за отстраняване на помътнената леща, водеща до оптимален рефрактивен и зрителен резултат, но е от особена важност да се осигури на пациентите безболезнен, спокоен и удовлетворяващ възстановителен период. В името на това е добре да се възползваме от всяка терапевтична възможност, която може да допринесе за постигането на тази цел, освен ако не носи допълнителен риск.
Osteometric Dimension of Stapes

Background: In the present study an attempt is made to study the morphometric analysis of ear ossicles to compare and evaluate the various morphometric parameters for designing the prosthesis used by Otologist in people of Gujarat. Aim: To study normal values of stapes this helps in making of stapes prostheses for otologists. Material and Method: Present study was carried out on 60 stapes in anatomy department at 3 medical colleges namely Shri M.P. Shah Govt. Medical College, Jamnagar, Govt. Medical College, Bhavnagar and P.D. U Medical College, Rajkot. The present study was conducted after approval from the institutional ethics committee. Results: the mean total height of stapes was 3.33 ± 0.25 mm, ranging from a minimum of 2.86mm to maximum of 3.9mm. The mean length of footplate of stapes was 2.78 ± 0.15 mm, ranging from a minimum of 2.41mm to maximum of 3.11mm. The mean width of footplate of stapes was 1.34 ± 0.13 mm, ranging from a minimum of 1.05 mm to maximum of 1.73 mm. Conclusion: The results of parameters of the ear ossicles are very helpful in making ear ossicles prosthesis in ossicular chain pathology in Guajarati population. Variation in the dimension of the ear ossicles might be due to racial difference or regional population difference in India. Variation in the dimension of ear ossicles might be due to various types of instruments used for measurement; methods used for measurement of ossicles or inter observer error by other workers.
Email as an Encumbrance to Physician-patient Communication

Physician-patient interaction through email poses several concerns regarding the security, efficiency, and misinterpretation of critical information. Incoming emails received by a single university-based physician in 2013 were analyzed in order to determine whether a general non-patient specific email is appropriate for patient use. Emails received were divided into seven categories: Informational, Academic, Advertisement, Organization/Department/ University, Mission Critical, Personal, and Patient. A total of 9,102 emails were received and read by the physician, with an average of 25 emails per day, out of which 823 (9%) emails were directly sent by patients. The total time spent reading emails was five days, seven hours, and 24 minutes. General email is not an effective means of streamlining physician-patient communication. Non-essential emails, which represent a majority of incoming messages, decrease the productivity of physicians and prevent them from responding to urgent messages in a timely manner. Additionally, this creates the chance for critical patient information getting lost with the volume of received emails. This could be detrimental to patient care and satisfaction. Recently, an online portal was instated to provide a method of secure communication, and less than five patient emails were received in the physician’s personal email since then.
Comparative Analysis of RF Emission Based Fingerprinting Techniques for ZigBee Device Classification

Low-Rate Wireless Personal Area Networks (LR-WPAN) are increasingly being fielded to complete tasks in autonomous sensor networks, industrial control systems, and other critical infrastructure. ZigBee is a versatile LR-WPAN platform that also open to risks of sophisticated bit-level attacks. Physical-Layer (PHY) based security measures have been shown in previous research efforts as effective supplemental security measures that a not susceptible to bit-level attacks. This research effort intends to quantify the differences in various RF fingerprinting techniques via comparative analysis of Multiple Discriminant Analysis/Maximum Likelihood (MDA/ML) classification results. The findings herein demonstrate a methodology for the generation of Constellation Based-Distinct Native Attributes (CB-DNA), Radio Frequency-Distinct Native Attributes (RF-DNA), and Correlation Based-Distinct Native Attributes (CORDNA) fingerprints. The results show that CB-DNA generated fingerprints had the highest mean correct classification rates followed by COR-DNA and then RF-DNA in most test cases and especially in low Eb/N0 ranges, where ZigBee is designed to operate.
The Normal Glenohumeral Relationships

A device for electrical connection of marks produced by means of an electroconductive writing substance to a readout device, by applying said marks in electroconductive relationship with pairs of mutually isolated conductive paths on at least one isolating substrate. Said substrate with its pairs of paths is removably connectable to the readout device by means of separate connection elements for each path. A mark bridges the conductive paths in one pair and closes an electric circuit on at least one substrate, whereby readout can take place without mechanical motion, and all electric circuits on such a marked substrate exist at the same time and the marks are readable electrically as well as visually.
A Comparative Study of the Effects of Text and Speech Media on Memory Retention

Objective To explore the text media, voice media affects the quantity of retention. Methods Select 30 undergraduate university students as the research object, using computer software rendering media and record data and statistical analysis. Results (1) The total memory retention of the text group was significantly higher than that of the speech group (t = 2.248, P < 0.05); (2) In the case of operation interference, the memory of the text group is larger than that of the speech group (t = 2.439, P < 0.05); (3) Under the interference of music, the memory retention of the text group is greater than that of the speech group (t = 2.249, P < 0.05). Conclusion The effect of speech media on memory retention is greater than that of text media.
Personagens emolduradas: os discursos de gênero e sexualidade no Big Brother Brasil 10

Abrir os olhos e ver. Nao ha nada mais incrivel que o ato de enxergar as inumeras possibilidades que estao diante dos nossos olhos: as imagens. Elas sao mais que uma juncao de cores e formas; produzem significado e, logicamente, simbolos. E desta producao de imagens pode-se fazer alguns questionamentos, como, o que elas querem representar? O interesse dessa dissertacao permeou a analise do discurso das imagens transmitidas pelo programa de televisao Big Brother Brasil (BBB) em sua decima edicao, ocorrida no ano de 2010. Ao iniciar a pesquisa, a questao que eu, telespectadora/antropologa, levava comigo era: como se reproduziam os discursos da feminilidade, da masculinidade e da homossexualidade? Sobretudo, como se reproduzia o modelo central as referencias hegemonicas? Essas referencias pareciam subjugar, desvalorizar e limitar as existencias plurais de masculinidade, feminilidade e homossexualidade. Ao final, percebi que os dados do campo nao mostravam apenas os pressupostos da normatividade e os sujeitos nao estavam completamente emoldurados; haviam deslocamentos. Sabendo que nada e simples no campo do genero e da sexualidade, houveram diversas tensoes. A diversidade proposta pelo programa teve o seu limite. Ao se propor desnaturalizar o BBB, pretendo compreender como um produto audiovisual assistido pelos mais variados grupos sociais pode influenciar, sedimentar ou colocar em reflexao as convencoes formais quanto ao genero e quanto a sexualidade.
Chinese Word Segmentation based on Bidirectional GRU-CRF Model

As an effective model for processing time series data, the recurrent neural network has been widely used in the problem of sequence tagging tasks. In order to solve the typical sequence tagging task of Chinese word segmentation, in this paper we propose an improved bidirectional gated recurrent unit conditional random field (BI-GRU-CRF) model based on the gated recurrent unit (GRU) neural network. This network is more easily trained than the LSTM neural network. This method can not only effectively utilize text information in two directions through bidirectional gated recurrent units, but also obtain the globally optimal tagging sequence as a result by considering the correlation between neighbor tags through the conditional random field. In this paper, experiments are carried out on the common evaluation set (PKU, MSRA, CTB) with the four-tag-set and six-tag-set respectively. The results show that the BI-GRU-CRF model has high performance in Chinese word segmentation, and the six-tag-set can improve the performance of the network.
An Evaluation of Alignment between French Language National Test and the Common European Framework of Reference for Languages Using Item Mapping

Standards-based education has become a crucial issue with which evaluating the learning of French language in Thailand was then required to comply. Since the alignment is the core idea in systematic and standards-based reform, this study aimed to evaluate the alignment between Thailand’s Professional and Academic Aptitude Test in French language (PAT 7.1) and the Common European Framework of Reference for Languages by using item mapping and to study the factors affecting the misalignment between Thailand’s Professional and Academic Aptitude Test in French language (PAT 7.1) and the Common European Framework of Reference for Languages. Variables were composed of contents and cognitive demands. Populations were 100 items of PAT 7.1, 388 grade-12 students (Matthayomsuksa 6) in English-French program (academic year 2017) in 10 schools under the South 2’s Development Center of French language (Le Centre pour le Developpement du Francais, CDF Hatyai) and 3 qualified panelists. A sample of 163 students were selected using the multistage sampling method. Research tools consisted of a PAT 7.1 test, two alignment matrixes and a set of open-ended questions. Data was analyzed using the proportion, Rasch IRT model, chi-square, percentage and content analysis. The research revealed that there were 16 items of PAT 7.1 aligning with the Common European Framework of Reference for Languages. Most of them were classified into A2 level and evaluated analysis/investigate skill. Moreover, item mapping result was coherent with that of panelists’ judgement. Three main factors affecting the misalignment were highlighted: the incoherence between item content and standard content, the unmatched levels of cognitive demands and the language usage, including the grammar, in the items that was irrelevant to standard and to students’ language proficiency levels. Keywords: French language, CEFR, alignment, item mapping
Computational Paralinguistics

This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (paralinguistics) expressed by or embedded in human speech and language.It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining.Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field.Key features:Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence.Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics.C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration.Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures.Outlines machine learning approaches including static, dynamic and contextsensitive algorithms for classification and regression.Includes a tutorial on freely available toolkits, such as the open-source openEAR toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.
CyberCOP3D : Visualisation Collaborative et Immersive pour la cybersécurité

La visualisation de donnees en cybersecurite fait appel aux techniques de Visual Analytics. Ces techniques permettent entre autres de favoriser la Situation Awareness, via une Common Operational Picture. L'objectif de la these est de proposer un CyberCOP3D, a savoir un outil collaboratif immersif favorisant la Cyber Situation Awareness. Afin de nous appuyer sur un cadre reel, nous effectue-rons une analyse de l'activite collaborative au sein de SOCs (Security Operations Center) et via un design centre utilisateur nous propose-rons des profils de personas permettant de modeliser les besoins et pratiques des differents analystes.
Natural History of Brachial Plexus Neuropathy

A clinical analysis of 99 patients with brachial plexus neuropathy (BPN) and the outcome of 84 of these patients are presented. The disease may involve the upper, the lower, or the entire plexus; the involvement may be complete or incomplete, and it may often be bilateral. Although the etiologic factor or factors remain unknown, our studies support the contention that this form of neuropathy is a clinical entity with, in most cases, a fairly typical pattern of symptoms and signs. The overall prognosis is excellent despite the severity and extent of the lesion. There is no apparent difference in the clinical aspects and recovery rates between patients who had antecedent immunizations and those who did not. While improvement may begin in one to two months, complete functional recovery may not be achieved for up to three years or longer in some cases. (27:109-117, 1972)
The study of height anomalies among secondary school students in Bayangan

Background: skeletal anomalies rate are increasing, especially among young people. The aim of this study was to investigate skeletal anomalies among male and female students in the middle school of the Bayangan region Kermanshah Iran. Methods: 260 students from Guidance schools in Bayangan region (120 girls and 140 boys) participated in this study. Using Posture Screen and New York Test the skeletal statue of students was analyzed from lateral, posterior and anterior views. Results: The results showed that 75/71% of boys and 87 /5 % of girls and 63 / 463 % in total have skeletal anomalies in their bodies. The difference in frequency between girls and boys was significant (P<0.001). 67/69% of the samples had skeletal anomalies in the lower limb, while only 13/46 % from all samples showed the skeletal anomalies in the upper limb. In addition, the results showed that the genus varum with 43/07% and the haluxe valgus with 19/23% were the most common deformities in the lower limb of the body and uneven shoulders with 6/53% and lambar lordosis with 3/46% were the most common deformities among students in upper limb of their body status. The prevalence of flat backs in boys and girls of was low, but rate of genu varum in both sexes were considerable. Conclusion: The results indicated the high prevalence of these deformities among the students. Lack of attention to teaching and reforming these deformities would increase their occurrence with aging.
DESIGNING A MAINTENANCE FREE MULTI-CHANNEL WIRELESS SENSOR NETWORK PROTOCOL

Wireless sensors are low powered device that is scattered to monitor its surroundings. These energy-constrained devices are usually constructed in a hierarchical structured manner where after sometime some of the nodes may deplete energy resulting disruption of the routing topology in a wireless sensor network. A faulty parent node may cause the reconstruction of the network’s routing topology if a maintenance solution is not provided to the protocol. Thus this study focuses on the maintenance free environment for a multi-channel wireless sensor network. A tree-based solution is proposed for the multi-channel protocol and a route diversion is proposed for the maintenance solution. The multi-channel characteristics is used as a tool to determine the route diversion of the children node. A simulation is built to compare the proposed protocol with existing tree-based multi-channel protocol. The result of the proposed protocol shows an improvement to the packet delivery rate by 15%.
Disturbance Rejection for Biped Walking Using Zero-Moment Point Variation Based on Body Acceleration

For real-world applications, a biped robot should maintain stable walking when subjected to sudden external disturbances. Typically, unexpected changes to body acceleration indicate that a robot is experiencing an external disturbance. This paper presents a biped walking controller for rapid response to large external disturbances. First, a novel adjustment algorithm for foot placement is proposed. Here, zero-moment point variations are mapped onto the new foothold based on calculations from changes in body acceleration. Second, a novel impact reduction control for foot landing is presented based on abating body vibrations. To avoid false detection triggers and excessive foothold adjustment, a rapid disturbance detection method is established using the body acceleration derivative. Finally, the effectiveness of the proposed methods is validated under simulations and in experiments with an actual biped robot.
Analyse de formes et de textures : application à l'identification et à l'aide de la gradation des pièces de monnaie. (Shape and texture analysis: application to coin identification and coin grading)

Objets de collection depuis les temps anciens, de nos jours les pieces de monnaie constituent un marche de plus en plus important. L’evaluation par des experts de l’etat de conservation des pieces de monnaie, que nous nommons gradation, joue un role important pour determiner leur valeur sur le marche. Dans le but de grader des pieces de monnaie de maniere efficace et objective, la societe GENI collabore avec le laboratoire LIRIS, afin d’automatiser le processus de gradation a partir de photos de pieces de monnaie. L’objectif principal de cette these est de fournir une aide a la gradation des pieces de monnaie a partir des photos de qualite. Le projet est compose de quatre phases :segmentation des monnaies, identification du type monetaire, detection et reconnaissance du millesime et gradation des monnaies. Dans la premiere phase, la piece de monnaie est segmentee de sa photo de maniere precise a l’aide d’un modele parametrique deformable. Ce dernier permet egalement d’extraire des caracteristiques de la piece de monnaie telles que sa taille, son nombre de coins, de pans, etc. Lors de la deuxieme phase, nous cherchons dans une base de donnees le type monetaire de reference correspondant a la piece de monnaie requete a l’aide de scores de similarite bases sur des graphes. Le premier score se base sur des caracteristiques locales des contours en relief, et le second, qui est semi-global, permet de mettre en evidence des differences de motifs. La troisieme phase concernent la reconnaissance du millesime. Il s’agit d’un sujet difficile car les caracteres, dans ce contexte, ont un premier plan de couleur tres similaire a l’arriere-plan. Apres avoir localise la zone du millesime et l’avoir decoupee en imagettes de chiffres, nous proposons une methode de reconnaissance de chiffres a l’aide de caracteristiques « topologiques ». Enfin, concernant la gradation des monnaies, nous proposons une methode se basant sur une quantification des « elements inattendus » comme les rayures et les taches. La piece de monnaie est d’abord recalee sur une monnaie de reference, puis, nous detectons les « elements inattendus » significatifs sur des zones d’interet. Enfin, concernant les « elements inattendus » tenus difficiles a reperer individuellement, nous detectons les zones granuleuses a l’aide du Deep Learning. Le resultat obtenu par cette methode, proche de ce que l’expert realise « a la main », servira d’aide aux numismates.
Novel methods of passive and active side-channel attacks

Im ersten Teil dieser Dissertation demonstrieren wir wie ein Spannungssensor innerhalb eines Field Programmable Gate Arrays fur Seitenkanalangriffe auf benachbarte und logisch isolierte Schaltungen verwendet werden kann. Als Informationskanal dient das Power Distribution Netzwerk. Zunachst wird eine benachbarte Schaltung innerhalb desselben FPGAs angegriffen. Im zweiten Szenario befindet sich der Sensor in der FPGA-Logik eines System-on-Chip und die CPU aus. Im dritten Szenario konnen wir Seitenkanalinformation eines Chips aufnehmen, der sich lediglich auf der gleichen Platine befindet. Der zweite Teil behandelt neuartige Methoden der Laserfehlerinjektion. Zunachst messen wir den mittels Laser injizierten Strom zur Bildgebung und Identifikation von Flip-Flops als Ziel fur Fehlerinjektion. In einer weiteren Arbeit kombinieren wir "Fault Sensitivity Analysis" mit Laserfehlerinjektion. Dadurch kann die benotigte Spotgrose durch prazises Timing der Laserbestrahlung kompensiert werden.