Miracle-dz/UniFAR-FTUs huggingface dataset:
RingIoT: A Smart Ring Controlling Things in Physical Spaces

Paste the appropriate copyright statement here. ACM now supports three different copyright statements: • ACM copyright: ACM holds the copyright on the work. This is the historical approach. • License: The author(s) retain copyright, but ACM receives an exclusive publication license. • Open Access: The author(s) wish to pay for the work to be open access. The additional fee must be paid to ACM. This text field is large enough to hold the appropriate release statement assuming it is single spaced in a sans-serif 7 point font. Every submission will be assigned their own unique DOI string to be included here. Abstract The increasing number of devices in the IoT landscape makes it difficult for users to remember control options and relationships among different devices. Users often find it tricky and non-intuitive to interact with devices. This paper presents RingIoT, a finger-worn device, which attempts to simplify ‘users-device’ interaction by empowering users with a simple pointing gesture to select IoT devices. It has a display, touch and sensing capabilities which facilitate to define dynamic relationships among things based on their potentials and user specific needs. RingIoT interprets different finger gestures to communicate control commands. This paper explores interactions between RingIoT and devices, and their implementation details. In order to evaluate our ring, we created an IoT ecosystem with few IoT devices
Cómo aprender de la experiencia de lactancia de las madres: implicaciones para la promoción y el marketing social

espanolFundamentos: El objetivo del presente trabajo es abordar el proceso de aprendizaje con base en la experiencia de las madres respecto a la lactancia materna, de modo que se pueda disenar campanas de promocion adaptadas al hacer de las mujeres lactantes. Metodos: Se desarrolla teoricamente y se estima empiricamente un modelo de aprendizaje inverso con base en analisis estadisticos tipo Path haciendo uso de una muestra de 311 madres lactantes, la cual se recabo en el Hospital Materno Infantil de Gran Canaria y en lugares organizados por la Asociacion Pro-Lactancia Materna de Canarias en el ano 2008. Resultados: Se demuestra que las madres lactantes pueden aprender a dar el pecho sobre la base de su experiencia, especialmente si aumenta la frecuencia de tomas y el esmero en hacerlo bien. Gracias a ello, las mujeres pueden desarrollar actitudes e involucracion suficiente para adquirir conocimientos acerca de la salud y del amamantamiento humano. Conclusiones: Cuando se disena una campana de promocion de la lactancia debe considerarse la capacidad innata de la madre para dar el pecho y por ello basar la induccion de la lactancia de manera esencialmente practica. EnglishBackground: The objective of the current work is to focus on the learning process based on mothers´ breastfeeding experience so that help to design promotional and social marketing campaigns taking into account the know- how of mothers. Method: A theoretical and empirical inverse learning model is developed by means of path analysis on a convenience sample of 311 elements gathered in the Maternity Hospital of Gran Canaria and other places chosen by the Breastfeeding Mothers Association of The Canary Islands in 2008. Results: Results show that mothers can learn about breastfeeding by their own experience, especially if mothers´ breastfeeding frequency increases and they set their best on doing it. Based upon doing, attitudes and involvement determine their knowledge not only about breastfeeding but also about health. Conclusions: Social marketing campaigns should be drawn on innate mothers´ skills to breastfeed and rely on experience
Morbidité de la surrénalectomie laparoscopique uni et bilatérale selon l'indication : à propos de 100 cas consécutifs

Introduction : La surrenalectomie laparoscopique est la technique de reference pour le traitement des tumeurs surrenaliennes. Cette etude retrospective rapporte l'experience de 100 surrenalectomies laparoscopiques consecutives, afin d'en apprecier les indications, la voie d'abord, la morbidite et d'en determiner les limites. Materiel et Methodes : Entre avril 1994 et Juin 2004, 100 surrenalectomies laparoscopiques ont ete effectuees chez 92 patients par voie transperitoneale (n=93) et retroperitoneale (n=7). 84 surrenalectomies etaient unilaterales et 8 bilaterales. L'âge moyen etait de 52 ans. Nous avons evalue les caracteristiques operatoires, post operatoires et les resultats fonctionnels. Resultats : Le temps operatoire moyen pour la voie retroperitoneale etait de 112 min [70-175], pour la voie transperitoneale de 101 min [40-215], pour les surrenalectomies bilaterales de 135 min [120-270]. La taille moyenne des tumeurs etait de 44mm [10-120mm]. La deperdition sanguine moyenne est de 215ml [0 -1210 ml]. 10 patients ont ete transfuses. La duree moyenne d'hospitalisation est de 3 jours. Les resultats histologiques retrouvaient 25 adenomes de Conn, 20 adenomes cortisoliques et syndrome de Cushing, 22 pheochromocytomes, 20 metastases, 2 corticosurrenalomes, Il incidentalomes. 6% conversion en chirurgie ouverte ont ete necessaires pour des difficultes techniques. 7 complications post operatoire benignes (7%) et 4 complications tardives (4%) (phlebite, epanchement, 2 recidives locales) ont ete observees. Dans le groupe presentant des tumeurs secondaires surrenaliennes, 4 patients sont en vie sans recidive a 18, 28, 44 et 48 mois apres surrenalectomie. Le traitement hypertenseur a ete supprime chez 16 patients sur 25 operes d'un adenome de Conn. Le recul moyen est de 31 mois [5-98mois]. Conclusion : Cette technique a une faible morbidite, necessite une analgesie post operatoire minimale et une courte hospitalisation. La voie retroperitoneale ou transperitoneale doit etre choisie en fonction des antecedents du patient et des habitudes du chirurgien. L'exerese de tumeurs superieures a 6 cm est possible au prix d'une morbidite plus importante. Les surrenalectomies laparoscopiques pour les tumeurs malignes sont grevees d'une morbidite plus importante.
Active Ocular Toxoplasmosis in Patients Diagnosed and Treated at General Hospital Zadar

Toxoplasma gondii is responsible for the 20-60% of all the cases of chorioretinitis. Causes of permanently reduced vision (found in about 25% of the patients) include macular active lesions and macular oedema, optic nerve involvement, vascular occlusion, retinal detachment, and late secondary choroidal neovascularization. A retrospective, non-consecutive chart review was performed on 11 patients with active ocular toxoplasmosis. At examination, all patients had central active lesions on retina. Preexisting chorioretinal scars were found in seven patients (63.6%). Eight patients (72.7%) had vitritis, while three patients (27,3%) had iridocyclitis. Six patients (54.6%) had macular inflammatory lesions, four (36,37%) of them had active lesions out of vascular arcades, and one (9.1%) had active lesions inside vascular arcades, while macula was not affected. The mean value of visual acuity at first visit of the patients was 0,5. The mean value of visual acuity was 0.9 after the healing process. All the patients were treated with oral antibiotics. Seven patients also received oral corticosteriods, and seven of them were also treated with pyrimethamine. All patients with signs of iridocyclitis were also treated with topical corticosteroids. Although toxoplasmosis chorioretinitis is usually a self-limited infection and generally resolves spontaneously, unrecognised cases can result in severe visual impairments.
Total Generalized Variation Method for Deconvolution-based CT Brain Perfusion

Deconvolution-based method for image analysis of cerebral blood perfusion computed tomography has been suggested. This analysis is the important part of diagnostics of ischemic stroke. The method is based on total generalized variation regularization algorithm. The algorithm was tested with generated synthetic data and clinical data. Proposed algorithm was compared with singular value decomposition method using Tikhonov regularization and with total variation based deconvolution method. It was shown that the suggested algorithm gives better results than these methods. The proposed algorithm combines both deconvolution and denoising processes, so results are more noisy resistant. It can allow to use lower radiation dose.
The influence of Schizotypy on Event-Related Oscillations in Sensory Gating during early Infant Development

Maternal schizotypic personality is thought to influence childhood risk for mental health and is a personality dimension elevated among schizophrenia-spectrum patients and their first-degree relatives, in whom neuro-oscillatory deficits have been observed. The current study investigated whether 6-month-old infants (n =46), and a subset of their biological mothers (n =34), who identified as either schizotypic (n =14) non-schizotypic (n =14), or an intermediate group (n =6), displayed reduced evoked-oscillatory activity. All mothers completed the Oxford-Liverpool Inventory of Feelings and Experiences as an index of schizotypy dimensionality. An auditory paired-tone paradigm was used to probe oscillatory activity, revealing that although the infants’ evoked-oscillations displayed differences between Stimulus 1 and 2, there were no group differences between infants of schizotypic and control mothers. Their mothers, however, displayed differences, with reduced amplitudes toward Stimulus 1 in schizotypic mothers; consistent with literature on early sensory processes, showing sensory gating is impaired in schizophrenia-spectrum disorders.
Application of FURIA for Finding the Faults in a Hydraulic Brake System Using a Vibration Analysis through a Machine Learning Approach

Vibration-based continuous monitoring system for fault diagnosis of automobile hydraulic brake system is presented in this study. This study uses a machine learning approach for the fault diagnosis study. A hydraulic brake system test rig was fabricated. The vibration signals were acquired from the brake system under different simulated fault conditions using a piezoelectric transducer. The histogram features were extracted from the acquired vibration signals. The feature selection process was carried out using a decision tree. The selected features were classified using fuzzy unordered rule induction algorithm ( FURIA ) and Repeated Incremental Pruning to Produce Error Reduction ( RIPPER ) algorithm. The classification results of both algorithms for fault diagnosis of a hydraulic brake system were presented. Compared to RIPPER and J48 decision tree, the FURIA performs better and produced 98.73 % as the classification accuracy.
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings

This paper describes DBee, a database to support the construction of data-intensive AI applications. DBee provides a unique data model which operates jointly over large-scale knowledge graphs (KGs) and embedding vector spaces (VSs). This model supports queries which exploit the semantic properties of both types of representations (KGs and VSs). Additionally, DBee aims to facilitate the construction of KGs and VSs, by providing a library of generators, which can be used to create, integrate and transform data into KGs and VSs.
CVIT’s submissions to WAT-2019

This paper describes the Neural Machine Translation systems used by IIIT Hyderabad (CVIT-MT) for the translation tasks part of WAT-2019. We participated in tasks pertaining to Indian languages and submitted results for English-Hindi, Hindi-English, English-Tamil and Tamil-English language pairs. We employ Transformer architecture experimenting with multilingual models and methods for low-resource languages.
Flexibility in EHR ecosystems: five integration strategies and their trade-offs

In this paper, we address various strategies to integrate Electronic Health Record systems with other software features and information sources. We identify a critical tension between a) the end users’ desire for a seamless EHR workflow, and b) the system architects’ desire for a loose and modular integration, which favors change and evolution of various applications and components over time. Through a qualitative study from Norway, we examined the integration strategies of an EHR system with i) a specialized patient record solution for childbirth, ii) an ePrescription system, and iii) an integrated Summary Care Record system. We complement these empirical studies with related research concerning one additional EHR integration strategy identified in the health informatics literature. We illustrate how four of the strategies compromise either end-users' need for seamless workflow or system architects' desire for a changeable and loosely integrated portfolio of information systems. However, one particular strategy, albeit experimental, shows promise in resolving the identified tension to a more substantial degree than the other four.
Equipping Elders and Deacons from the Gethsemane French Seventh-day Adventist Church for Effective Visitation in Healthcare Settings Brian Ladiny, Andrews University

The Problem. Gethsemane French Seventh-day Adventist Church with a total membership of 1,200 serves a large diverse urban community in Brooklyn, New York. Church elders and deacons have little or no training on visiting the sick. No previous efforts to equip church elders and deacons for effective visitation in the healthcare setting have been attempted in order to re-affirm their mission to serve and visit those who are sick. This project aims to increase and enhance the knowledge of lay leaders to effectively visit the sick in the healthcare setting. The Method. Three training sessions on visiting the sick in the healthcare setting were conducted and implemented at Gethsemane Church in Brooklyn, NY during the month of May 2011. The training sessions provided theological foundations, theoretical analysis and clinical skills on visiting the sick in healthcare settings. Instruments such as presession and post-session interview questionnaires, pastoral verbatim reports and evaluation forms were collected and analyzed. The Results. Three elders, two deacons and three deaconesses were trained. All of them agreed to apply these visiting skills during their personal visitation in the healthcare setting. They all endorsed that a trained lay visitation team would be very beneficial for the Church. Eighty five percent of the participants felt very comfortable sharing visiting tips with other elders and deacons. Ninety percent of the participants wished for and felt that more time should have been spent during the training sessions on exploring the art of visiting non-Adventist patients. Conclusions. Training lay leaders for effective visitation of Adventist and non-Christian patients in healthcare settings demonstrates positive impact on church growth. This finding suggests that implementation of this project to other local churches in Greater New York Conference would help church members to establish a friendship ministry of compassion and care to non-Adventist patients. This project, however, acknowledges directions for further research, recommendations, and reflections on equipping church leaders for effective visitation in healthcare settings.
Leveraging universally desirable and undesirable leadership styles

This paper focuses on cross-cultural management and leadership. In particular, it aims at universal leadership studies and attributes. By using a comprehensive literature review and some relevant examples from various sources it shows that the amount of leadership as well as leadership styles might significantly vary across countries and occupations. Moreover, the aim of the paper is to describe applicability of the leadership styles across nations. We show that while democratic, consultative or even inclusive leadership styles are beneficial in low power distance cultures, they might cause problems in the high-power distance countries. It appears that a very important aspect of the leadership style is the style of follower which, among others, is also dependent on the country of origin. The inconsistency of the styles of leaders and followers may lead to mutual misunderstanding, conflicts and loss of effectivity. Therefore, our study confirms that sufficient training of managers in multicultural management might be necessary for achieving growth and success in the volatile and globalised business environment of the 21 century.
PROCESS FOR REALISATION OF A CAGE ADAPTED TO PATIENT FOR SPECIFIC ACETABULAR DEFECTS IN THA REVISION

Although the procedure of revision of hip prosthesis has a high success rate, covering large defects present after extraction of the old prosthesis is a difficult task for the surgeon, because he must adapt a standard acetabular cage to the acetabular defects by using bone grafts and bone cement. Using a custom acetabular cage allows better contact between prosthesis and bone, and a better positioning of the centre of rotation, and also an easier and safer installation. This paper presents a parameterized process for making a custom acetabular cage, based on a study case (patient MI).
REDUCTION OF CHEMICAL AND BIOCHEMICAL OXYGEN DEMAND AFTER TREATMENT OF PHARMACEUTICAL EFFLUENTS

Pharmaceutical effluents are disrupting the environment and it is important to utilize such effluents for good purpose. Therefore, the present study is undertaken to treat effluents using calcium oxide and ferrous sulfate, wherein calcium oxide produces calcium hydroxide resulting basic pH, which is neutralized by ferrous sulfate. This treatment reduced the chemical oxygen demand (COD) and biochemical oxygen demand (BOD) to almost 98-99%. The effluent reacted with calcium hydroxide and oxidized ferrous into ferric hydroxide (precipitates). By this treatment, maximum solids were settled down in the form of sludge. The resulting neutralized wastewater may be used for agriculture and irrigation purpose. This process is very easy and effective in the improvement of water quality from pharmaceutical effluents.
Technological innovation and the environment: an analysis based on patent counts

The increasing concern on the present and future impact of climate change has raised the attention on the relationship between technology and the environment. The aim of this paper is to investigate the impact of green innovation on carbon emissions. Carbon dioxide (CO2) and Greenhouse Gas (GHG) emissions per capita are used as a proxy for environmental quality. Technological innovation is measured by the number of climate change mitigation patents granted for each country disaggregated by areas of innovation. The estimation strategy entails the use of an OLS with two-way fixed effects for a panel of 47 countries over the period 1976-2012. Overall, we find evidence of a positive relationship between carbon emissions and technological innovation, i.e. pollution can be reduced by adopting new energy efficient technologies. However, the results differ depending on the type of patent variable used. Furthermore, the results vary when the sample is divided into developed and developing countries. Interestingly, the additional regressions show a significant impact of innovations only for the high-income economies sample. These findings can be used to draw policy implications. Given the recent forecast of future increase in carbon emissions, it is paramount to further improve technologies to decouple economic growth from environmental pollution. Moreover, technology transfer between developed and developing countries must be fostered to increase the global effort in pollution reduction.
Human Action Recognition using Ensemble of Shape, Texture and Motion features

Even though many approaches have been proposed for Human Action Recognition, challenges like illumination variation, occlusion, camera view and background clutter keep this topic open for further research. Devising a robust descriptor for representing an action to give good classification accuracy is a demanding task. In this work, a new feature descriptor is introduced which is named ‘Spatio Temporal Shape-Texture-Motion’ (STSTM) descriptor. STSTM feature descriptor uses hybrid approach by combining local and global features. Salient points are extracted using Spatio Temporal Interest Points (STIP) algorithm which are further encoded using Discrete Wavelet Transform (DWT). DWT coefficients thus extracted represent local motion information of the object. Shape and texture features are extracted using Histogram of Oriented Gradient (HOG) and Local Binary Pattern (LBP) algorithms respectively. To achieve dimensionality reduction, Principal Component analysis is applied separately to three types of features. Feed Forward Neural Network is employed to perform the classification. The proposed algorithm is extensively tested using well known KTH, Weizmann and UCF sports datasets. The performance of proposed method is found to be better than many methods mentioned in the literature.
Service quality of psychiatric care from patients perspective; a descriptive cross sectional study conducted in National Hospital, Sri Lanka

Introduction: In Sri Lanka, mental health has been given a low priority, despite one out of ten in population suffering from a mental illness. Most patients are treated and followed up at psychiatric clinics at government hospitals. Methods: A descriptive cross sectional study was conducted in the psychiatric clinics in the National Hospital, Sri Lanka (NHSL). The objective of the study is to assess the quality of the services provided by the psychiatric clinics from patient's perspective and to identify the factors affecting the quality of the service. A sample of 292 clinic attendees in remission, followed up at the clinics for =1year, were selected using systematic sampling. Perception and expectations on five quality dimensions of SERVQUAL model (tangibles, reliability, responsiveness, assurance and empathy) was assessed using pre-tested, interviewer administered questionnaire with 30 items, on 05 points Likrt’s scale. Results: Tangibility dimension scored the highest mean (1.4816) and assurance scored lowest mean (1.1054), for expectations. Responsiveness scored the highest mean (2.9816) and tangibility scored the lowest mean (2.1379) for perceptions. Overall perception mean (2.548) regarding quality of service was higher than over all expectation mean (1.218) with a positive gap (1.2). Perception of tangibility was significantly associated with level of education (p = 0.004), ethnicity (p = 0.010) and unemployment had a significant impact on dimension empathy (p = 0.03). Conclusions: Perception of the psychiatric services at NHSL was found to be better than their expectation. Even though results showed positive quality gap in relation to patient perspective, most of the facilities should be improved.