Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the implementation of a mobile App-based electronic health record: A mixed-method study from South India

BACKGROUND: Government of India recognizes the use of “information, communication, and technology” in the provision of comprehensive primary healthcare. In 2014–2015, Karuna Trust, a nongovernmental organization, Bengaluru, India, introduced an electronic health record (EHR) innovation, namely “Comprehensive Public Health Management” application (CPHM App). Data could be entered in an offline mode followed by syncing with cloud. The CPHM App was piloted in primary health center (PHC) Gumballi, in Karnataka, with focus on household survey and maternal and child health (MCH) services. OBJECTIVES: To compare the consistency of selected MCH process indicators for Health Management Information System [HMIS] available from paper-based records and those generated through the CPHM App (2016–2017). We also explored the implementation enablers, barriers, and suggested solutions from the user perspective. METHODS: A sequential mixed-method study design was followed. Quantitative phase involved aggregate data analysis looking into the consistency of selected MCH process indicators available from paper-based records and those generated through the CPHM App (2016–2017) followed by thematic analysis of in-depth interviews of healthcare providers. Consistency was defined as a percentage where the numerator was the HMIS-related process indicator data from CPHM App and denominator was the data from paper-based records. RESULTS: Three out of 12 selected MCH indicators had consistency of >80%. The quarterly consistency reduced over the 2 years. Dual burden of entry and regular monitoring of paper-based records by district health and family welfare department were the reasons why more importance was given to entry in paper-based records. Ability to generate aggregate indicators with CPHM App, easy to use and retrieve data in the field, and reminder facility for planned health activities were some of the factors facilitating CPHM implementation. The key barriers were limited technical expertise and support from the technical team and no internet connectivity in the field and traveling to PHC to sync the data. Provision of real-time technical support and availability of data connectivity in the field were some of the solutions suggested. CONCLUSION: There should be a minimum of 1–2 years of simultaneous use of EHR and paper-based records after which one must shift to EHR.
Neither Timed Up and Go test nor Short Physical Performance Battery predict future falls among independent adults aged ≥75 years living in the community

Objectives: Previous research has shown that balance and gait difficulties are predictors of falls. The aim of this study was to evaluate the predictive validity of two tools reporting on balance and gait among older community-living adults independent in personal activities of daily living (p-ADL). Methods: Prospective study design. Baseline assessment included the Timed Up and Go test (TUG) and the Short Physical Performance Battery (SPPB). Following baseline, falls were recorded monthly for one year by 202 participants (70.1% women) who were independent in p-ADL, and at least 75 years old (79.2±3.5). ROC-curves were made and AUC were calculated. Results: Forty-seven percent of the participants reported falls. AUCs calculated for TUG were 0.5 (95%CI: 0.5-0.6) for those with at least one fall, and 0.5 (95% CI: 0.5-0.6) for recurrent fallers. Corresponding figures for SPPB were 0.5 (95% CI: 0.5-0.6) and 0.5 (95% CI: 0.5-0.6). Conclusion: This study does not support a recommendation to use the Timed Up and Go test or the Short Physical Performance Battery as tools for the identification of fall-prone persons among older adults living in the community. These results reinforce the need for further research into appropriate tools for identifying independent but fall-prone older adults.
Horizontal Ridge Augmentation Using a Xenograft Bone Substitute for Implant-Supported Fixed Rehabilitation: A Case Report with Four Years of Follow-Up

The guided bone regeneration (GBR) technique has been used to achieve optimal bone volume augmentation and allow dental implant placement in atrophic maxilla and mandible, with predictable results and high survival rates. The use of bone substitutes has reduced the necessity of autogenous bone grafts, reducing the morbidity at the donor areas and thus improving the patients' satisfaction and comfort. This clinical case report shows a clinical and histological evaluation of the bone tissue behavior, in a case that required the horizontal augmentation of the alveolar ridge, with the use of xenograft biomaterial and further dental implant placement. After six months of healing time, six implants were placed, and a bone biopsy was done. The histological analysis depicted some fragments of the xenograft bone graft, integrated with the new-formed bone tissue.
ULTRASTRUCTURAL LOCALIZATION OF PHOSPHATASES WITH CERIUM IN A CILIATED PROTOZOAN

Acid phosphatase (AcPase) and thiamine pyrophosphatase (TPPase) have been detected with cerium as a capture agent for the first time in ciliated protozoa. In the trophozoites of the parasitic ciliate Ichthyophthirius multifiliis, AcPase activity was previously reported in food vacuoles, primary lysosomes, golgian-like cisternae and in some alveolar sacs. These former results obtained by lead methods, have now been confirmed and improved by a cerium-based technique. TPPase activity was also observed in golgian-like cisternae and alveolar sacs. As the cell membrane of this ciliate proved to be highly impermeable to cerium ions, several hr of preincubation in buffer with cerium chloride and Triton X-100 were needed to detect phosphatases with cerium in intact ciliates. However, in sectioned ciliates the preincubation time could be greatly reduced. Since TPPase became inhibited after a long preincubation, it could only be detected with cerium in sectioned ciliates.
Oldest co-occurrence of Varanus and Python from Africa—first record of squamates from the early Miocene of Moghra Formation, Western Desert, Egypt

Lizard and snake remains from the early Miocene (Burdigalian) of the Moghra Formation, Egypt, are described herein. This material comprises the first fossil remains of squamates recovered from the otherwise rich and well known vertebrate assemblage of Moghra. The material pertains to two different genera, the varanid lizard Varanus and the pythonid snake Python and adds to the so far rather poorly known squamate fossil record from Africa. On the basis of the new remains, Moghra marks the oldest so far described co-occurrence of Varanus and Python in the African continent. The close sympatry of these two genera in the African fossil record is thoroughly analyzed and discussed, a co-existence, which is still widespread in the extant herpetofauna of the continent. Situated rather close to the so called “Levantine Corridor” and dated at the Burdigalian, practically when Afro-Arabia collided with Eurasia, the Moghra squamate assemblage offers the potential of important insights in the biogeography and dispersal events of vertebrate groups during the early Miocene.
Index of Microcirculatory Resistance Measured during Intracoronary Adenosine-Induced Hyperemia

Background The index of microcirculatory resistance is an invasive measure of coronary microvascular function that has to be calculated during maximal hyperemia, classically achieved with intravenous adenosine (IV). The aim of this study was to evaluate the use of intracoronary (IC) adenosine for the calculation of IMR. Methods and Results 31 patients with stable coronary artery disease were included in the study. Coronary pressure and thermodilution measurements were obtained at rest and during maximal hyperemia using a pressure-temperature sensor-tipped coronary guidewire. Duplicate measurements were performed using first IC and then IV adenosine. Dispersion of transit times was comparable for IC and IV adenosine. IMR values based on IC vs IV adenosine showed a high level of agreement and an intraclass correlation coefficient of 0.90. Applying an upper normal limit of 25, misclassification of IMR using IC adenosine was seen in just one patient in whom IC adenosine resulted in a lower value. A simplified procedure based on a single bolus dose of saline did not change the level of agreement or the rate of misclassification. Conclusions We found an excellent agreement between IMR values measured during hyperemia induced by IC as compared to IV adenosine. The use of IC adenosine may facilitate invasive assessment of microvascular function and is potentially time- and cost-saving with less patient discomfort as compared to IV infusion. The trail is registered with NCT03369184.
Special bioactive compounds and functional foods may exhibit neuroprotective effects in patients with dementia (Review)

Dementia is a failure of cognitive ability characterized by severe neurodegeneration in select neural systems, and Alzheimer's disease (AD) is the most common type of neurodegenerative disease. Although numerous studies have provided insights into the pathogenesis of AD, the underlying signaling and molecular pathways mediating the progressive decline of cognitive function remain poorly understood. Recent progress in molecular biology has provided an improved understanding of the importance of molecular pathogenesis of AD, and has proposed an association between DNA repair mechanisms and AD. In particular, the fundamental roles of phosphatase and tensin homologue deleted on chromosome 10 (PTEN) and breast cancer gene 1 (BRCA1) tumor suppressors have been shown to regulate the pathogenesis of neurodegeneration. Consequently, onset of neurodegenerative diseases may be deferred with the use of dietary neuroprotective agents which alter the signaling mediated by the aforementioned tumor suppressors. In a healthy neuron, homeostasis of key intracellular molecules is of great importance, and preventing neuronal apoptosis is one of the primary goals of treatments designed for dementia-associated diseases. In the present review, progress into the understanding of dietary regulation for preventing or limiting development of dementia is discussed with a focus on the modulatory roles of PTEN and BRCA1 signaling.
The invertebrate community of submerged Nuphar lutea (L.) leaves in the River Great Ouse

The densities of important fish-food organisms associated with submerged Nuphar lutea leaves during late spring and summer were studied in a main river channel and an adjacent side channel over three years. The abundance of micro crustacea varied substantially between years with potentially important consequences for the growth and survival of some species of juvenile fish. Densities of micro crustacea and of Chironomidae were much reduced in all years after mid summer. When invertebrate abundance is low, roach (Rutilus rutilus) ingest aufwuchs unselectively, including detritus and algae, although some species, including common bream (Abramis brama) continue to be selective for invertebrates. During periods when invertebrate densities were low bream were often found with empty guts while those of roach were usually filled with aufwuchs (R. H. K. Mann, personal communication). It is suggested that the availability of food organisms may be an important factor influencing the success of selective feeders, such as bream. © 1997 John Wiley & Sons, Ltd.
Virtual Online Teams: The Development of Cross-cutting Skills for Business Students

: Extensive research of employers across sectors over the past decade indicates the importance of teamwork and other transversal skills such as communication, critical thinking, problem-solving, ethical reasoning, and the ability to work with diverse others. In spite of its value to employers, teamwork is decreasingly emphasized by schools of business in terms of the learning outcomes they measure for purposes of accreditation. This qualitative study explores the implementation of teamwork in an online business management course. It examines the student experience based on data derived from formative team reflections measuring team performance and effectiveness. The study sought to gain insights into the performance of virtual teams in a business education context and determine if and how the technology-mediated environment impacted effective teamwork as perceived by the students. Findings indicate that students primarily experienced issues characteristic of all developing teams rather than being specific to virtual teams and that they recognized the value of teamwork. Course design and content supported students in addressing issues. Further recommendations are provided for structuring effective teamwork in online courses.
Traditional behaviour and fidelity to caribou calving grounds by barren-ground caribou

Evidence for the fidelity of female barren-ground caribou (Rangifer tarandus spp.) of each herd to specific calving grounds is convincing. Involvement of learned behaviour in the annual return of those cows to the same calving grounds implies such actions are a form of «traditional» behaviour. Even wide variations in population size have not yet knowingly led to marked changes in size or location of calving grounds or prolonged abandonment of established ones. Rarely is the adoption of new calving grounds reported and emigration to another herd's calving ground or interchange between calving grounds has not yet been unequivocally documented. The calving experience of individual caribou and environmental pressures may modify the cow's use patterns of her calving grounds. The current definition of herds based on traditional calving grounds may require modification, if increasing caribou numbers result in changes in traditions. However, current data do not contradict either the fidelity to traditional calving grounds or the concept of herd identity based on that fidelity.
Real-Time Detection and Prediction of Relative Motion of Moving Objects in Autonomous Driving

Autonomous driving vehicles must have the ability to identify and predict behaviors of surrounding moving objects (e.g., other vehicles, cyclists, and pedestrians) in real-time. This is especially true in urban environments, where interactions become more complex due to high volumes of trafﬁc. The work in this paper harnesses the Dempster-Shafer (DS) theoretic framework’s ability to capture and account for various types of evidence uncertainty to develop a robust event detection and prediction model, which is appropriately calibrated to account for the underlying uncertainty so that it may be employed to arrive at a more informed decision.
Product Lifecycle De-trending for Sales Forecasting

: This work introduces a new way to improve the sales forecasting accuracy of time series models using product’s life cycle information. Most time series forecasts utilize historic data for forecasting because there is no data available for the future. The proposed approach should change this process and utilize product life cycle speciﬁc data to obtain future information including product life cycle changes. Therefore a decision tree regression was used to predict the shape parameters of the bass curve, which reﬂects a product’s life cycle over time. This curve is used in a consecutive step to de-trend the time series to exclude the underlying trend created through the age of a product. The sales forecasts accuracy was increased for all 11 years of a luxury car manufacturer, comparing the newly developed product life cycle de-trending approach to a common de-trending by differencing approach in a seasonal autoregressive integrated moving average framework.
How to Avoid Weight Inconsistencies in Social Networks - an Entropy-Driven Approach -

Social network analysis is a popular ﬁeld of research and most commonly supported by graph theory-based methods. But there is an up-and-coming approach that has spilled over from the area of artiﬁcial intelligence – so-called entropy-driven social network analysis. This approach uses probabilistic conditionals to express relationships between actors or groups of actors rather than merely edges or arrows. The new method allows for calculating all actors’ importance in the net. However, if an analyst imprudently assigns probabilities to conditionals in the social network, the whole structure can be inconsistent, and hence the above-mentioned indices then are meaningless. Therefore, we propose a new interactive algorithm that helps the analyst to detect and revise such inconsistencies. The applicability of the algorithm will be exempliﬁed by a mid-sized family network.
A Proposal to Improve Voice-based Interfaces for Elders using Daily-living Activity Identification

It is a matter of common knowledge that the aging process entails a cognitive decline in certain processes such as attention, episodic memory, working memory, processing speed and executive functions. In recent years, efforts have been made to study the potential of Information and Communication Technologies to improve cognitive functioning and quality of life in elderly adults with and without cognitive impairments. In this paper, we introduce CODA (COgnitive Decline Alert kit), a system intended to keep record of the activities of daily living that also implements straightforward games heavily based on voice assistants that get leverage of such records with two main aims: the first one is to achieve a engaging gaming experience, by means of the introduction of questions related with activities of daily living that have been carried out recently by the elder. The second one is to have a means to evaluate the memory processes of the elder by analyzing their answers to the game questions; these are expected to be a useful source of information about the cognitive decline of
An ICT Platform for the Understanding of the User Behaviours towards EL-Vs

: Demonstrations of Electriﬁed Light Vehicles (EL-Vs) are organised in six European cities to collect trip data and users’ perceptions and experiences in order to boost the market uptake of such vehicles by the EU funded ELVITEN project. Aiming to handle the data ﬂow from the various ICT tools operating in each city and to allow data analysis and data visualisation, a fully integrated ICT platform is designed, developed and deployed. The architecture and the design of the platform, the modules of the system as well as their relations and interactions are presented in this paper. The platform has been designed to collect data generated by the services and tools in the Demonstration Cities, consolidate the information and facilitate the retrieval, processing and visualisation of the collected information in a uniform and consistent way among cities and tools.
Optimal Path Planning for Drone Inspections of Linear Infrastructures

: Autonomous Beyond Visual Line of Sight (BVLOS) ﬂights represent a huge opportunity in the drone industry due to their ability to monitor larger areas. Autonomous navigation and path planning are essential capabil-ities for BVLOS ﬂights. In this paper, we introduce the routing component of a path planning system for inspecting linear infrastructures. We explore both a direct algorithm and a transformation algorithm . The direct algorithm is an extension of A* to allow limited routing through air as well as the use of non-logic intersections. The transformation algorithm pre-computes a graph that include edges for routing through air and nodes for non-logic intersections. We implemented both algorithms for routing along a particular type of linear infrastructure, power lines, and validated them through an empirical evaluation at three different scales: the Danish power grid, the French power grid, and the entire European power grid. The test results show that the transformation algorithm allows for sub-second routing performance for a small-to-medium sized power grid. Larger power grids can be routed in less than ﬁve seconds, and even an optimal route of more than six thousand kilometers along linear infrastructures from Portugal to Sweden via Russia is found in less than half a minute. All algorithms have been implemented and are available as an open-source Python package for Linear-infrastructure Mission Control (LiMiC).
Auto-Sapiens Autonomous Driving Vehicle

: This paper presents the Auto-Sapiens project, an autonomous driving car developed by the Mechatronics and Vehicle Dynamics Lab, at Sapienza University of Rome. Auto-Sapiens is a technological platform to test and improve innovative control algorithms. The car platform is a standard car (Smart ForTwo) equipped with throttle, brake, steering actuators and different sensors for attitude identification and environment reconstruction. The first experiments of the Auto-Sapiens car test a new obstacle avoidance. The vehicle, controlled by an optimal variational feedback control, recently developed by the authors, includes the nonlinearities inherent in the car dynamics for better performances. Results show the effectiveness of the system in terms of safety and robustness of the avoidance maneuvers.
Use of Current Remote Sensing Methods for Biodiversity Monitoring and Conservation of Mount Kilimanjaro National Park Ecosystems

: Climate and land use change have become serious challenges facing protected areas globally, more so those in the tropical forest ecosystems. Kilimanjaro-Mountain National Park was specifically designated to protect and safeguard the highest free-standing mountain in the tropics. The park attracts thousands of national and international tourists annually because of its snow capped-summit and the altitudinal gradients, representing the different eco-climatic zones of the world. Earnings from tourism boost the country’s economy while ensuring the sustainability of this unique glacial-tropical mountainous forest ecosystem park. Conventional monitoring of key biodiversity and environmental parameters are carried out by park staff, following established guidelines by Tanzania National Parks. However, given the park’s geo-morphological nature of mountainous terrain, efficient implementations of the labor intensive in-situ observations are hardly feasible. This research explored the use of Remote Sensing data from the European Satellite Agency– Sentinel- 2 Multi-Spectral Instrument, in developing a state-of-the-art monitoring protocol. The developed methodology ensures that essential biodiversity parameters, including Vegetation Indices, required in monitoring the vast areas of the park and its surroundings in the short-term and long-term, using up to date, high resolutions and frequently available Remote Sensing data from the Sentinel-2 Sensors are captured.
Activation of murine peritoneal macrophages with cisplatin and lipopolysaccharide: involvement of protein kinase C and tyrosine kinase

In the present study we report that protein kinase C (PKC) inhibitors, H-7 and chelerythrine chloride, inhibit the cisplatin- or lipopolysaccharide (LPS)-induced activation of murine peritoneal macrophages to the tumoricidal state. Similarly, the tumoricidal activity was also downregulated by protein tyrosine kinase (PTK) inhibitors, genestein and lavendustin A. The production of interleukin-1 (IL-1) and tumor necrosis factor (TNF) by cisplatin- or LPS-treated macrophages was also inhibited by both PKC and PTK inhibitors. These findings suggest the involvement of PKC and PTK in the activation of murine peritoneal macrophages with cisplatin and LPS.