Miracle-dz/UniFAR-FTUs huggingface dataset:
The act of caring in mental health : aspects aligned to patient safety culture

Lima MEP, Cortez EA, Almeida VLA, Xavier SCM, Fernandes FC. The act of caring in mental health: aspects aligned to patient safety culture. SMAD, Rev Eletrônica Saúde Mental Álcool Drog. 2021 Apr.-June; 17(2):92-103. doi: https://dx.doi. org/10.11606/issn.1806-6976.smad. 2021.168515 SMAD, Rev Eletrônica Saúde Mental Álcool Drog. 2021 Apr.-June; 17(2):92-103 DOI: 10.11606/issn.1806-6976.smad. 2021.168515 www.revistas. usp.br/smad/
FPGA Bitstream Modification with Interconnect in Mind

Bitstream reverse engineering is traditionally associated with Intellectual Property (IP) theft. Another, less known, threat deriving from that is bitstream modification attacks. It has been shown that the secret key can be extracted from FPGA implementations of cryptographic algorithms by injecting faults directly into the bitstream. Such bitstream modification attacks rely on changing the content of Look Up Tables (LUTs). Therefore, related countermeasures aim to make the task of identifying a LUT more difficult (e.g. by masking LUT content). However, recent advances in FPGA reverse engineering revealed information on how interconnects are encoded in the bitstream of Xilinx 7 series FPGAs. In this paper, we show that this knowledge can be used to break or weaken existing countermeasures, as well as improve existing attacks. Furthermore, a straightforward attack that re-routes the key to an output pin becomes possible. We demonstrate our claims on an FPGA implementation of SNOW 3G stream cipher, a core algorithm for confidentiality and integrity used in several 3GPP wireless communication standards, including the new Next Generation 5G.
Journal Bearing Performance Prediction Using Machine Learning and Octave-Band Signal Analysis of Sound and Vibration Measurements

Abstract Journal and thrust bearings utilise hydrodynamic lubrication to reduce friction and wear between the shaft and the bearing. The process to determine the lubricant film thickness or the actual applied load is vital to ensure proper and trouble-free operation. However, taking accurate measurements of the oil film thickness or load in bearings of operating engines is very difficult and requires specialised equipment and extensive experience. In the present work, the performance parameters of journal bearings of the same principal dimensions are measured experimentally, aiming at training a Machine Learning (ML) algorithm capable of predicting the loading condition of any similar bearing. To this end, an experimental procedure using the Bently Nevada Rotor Kit 4 is set up, combined with sound and vibration measurements in the vicinity of the journal bearing structure. First, sound and acceleration measurements for different values of bearing load and rotational speed are collected and post-processed utilising 1/3 octave band analysis techniques, for parametrisation of the input datasets of the ML algorithms. Next, several ML algorithms are trained and tested. Comparison of the results produced by each algorithm determines the fittest one for each application. The results of this work demonstrate that, in a laboratory environment, the operational parameters of journal bearings can be efficiently identified utilising non-intrusive sound and vibration measurements. The presented approach may substantially improve bearing condition identification and monitoring, which is an imperative step to prevent journal bearing failures and conduct condition-based maintenance.
Projecting Backward and Forward on Processes of Organizational Change and Innovation

This essay discusses how views of organizational change and innovation have traditionally focused on planned episodic change that focuses on rational, strategic, top-down and consensus-directed interventions following teleological or regulatory process models. Future scholarship seems to be focusing more on unplanned continuous organizational changes that emphasize experiential, emergent, bottom-up, pluralistic social movements following dialectical and evolutionary models of change. While planned-episodic and unplanned-continuous change may appear to be opposing views of organizational change, they are entangled in one-another, and provide a rich agenda of future scholarship on processes of organizational change and innovation.
Social work and anthropology: Traversing, trading, and translating across boundaries

Since the early days of the profession, social workers have collaborated across disciplinary boundaries to tackle pressing social problems. From building interprofessional teams to developing dual-degree programs, social workers have long been familiar interlocutors with the fields of education, psychology, public policy, and sociology (Bronstein, 2003). Over the past 20 years, a rich scholarship on interdisciplinary experiences within social work has emerged. This work has documented areas of interdisciplinary growth in disciplines such as law, nursing,
Regenerative Medicine and Angiogenesis; Focused on Cardiovascular Disease

Cardiovascular disease (CVD) is a major concern for health with high mortality rates around the world. CVD is often associated with partial or full occlusion of the blood vessel network. Changes in lifestyle can be useful for management early-stage disease but in the advanced stage, surgical interventions or pharmacological are needed to increase the blood flow through the affected tissue or to reduce the energy requirements. Regeneration medicine is a new science that has provided many different options for treating various diseases, especially in CVD over the years. Stem cell therapy, gene therapy, and tissue engineering are some of the powerful branches of the field that have given patients great hope in improving their condition. In this review, we attempted to examine the beneficial effects, challenges, and contradictory effects of angiogenesis in vivo, and in vitro models’ studies of CVD. We hope that this information will be able to help other researchers to design new effective structures and open new avenues for the treatment of CVD with the help of angiogenesis and regeneration medicine in the future.
Modelling Human Activity using Smartphone Data

Over time, multichannel time series data were utilized for the purpose of modeling human activity. Instruments such as an accelerometer and gyroscope which had sensors embedded in them, recorded sensor data which were then utilized to record 6-axes, single dimensional convolution for the purpose of formulating a deep CNN. The resultant network achieved 94.79% activity recognition accuracy on raw sensor data, and 95.57% accuracy when Fast Fourier Transform (FFT) knowledge was added to the sensor data. This study helps to achieve an orderly report of daily Human activities for the overall balanced lifestyle of a healthy human being. Interfacing is done using Arduino Uno, Raspberry-Pi 3, heart rate sensor and accelerometer ADXL345 to generate real time values of day-to-day human activities such as walking, sleeping, climbing upstairs/downstairs and so on. Initially, the heart pulse of our four tested individuals is recorded and tabulated to depict and draw conclusions all the way from “Low BP” to “Heavy Exercise”. The convolution neural network is initially trained with an online human activity dataset and tested using our real time generated values which are sent to the MAC OS using a Bluetooth interface. We obtain graphical representations of the amount of each activity performed by the test set of individuals, and in turn conclusions which suggest increase or decrease in the consistency of certain activities to the users, depicted through our developed iOS application, “Fitnesse”. The result of this works is used to improve the daily health routines and the overall lifestyle of distressed patients.
Impacts of Porous Silica-Nanoencapsulated Pesticide Applied to Soil on Plant Growth and Soil Microbial Community

Porous silica nanocarriers have the potential to improve agricultural crop productivity. However, the impacts of nanoencapsulated pesticides on soil health and plant growth, and how they compare with conventional pesticide have not been systematically elucidated. In this study, we investigated how applying azoxystrobin encapsulated in porous hollow SiO2 nanocarriers to agricultural soil impacted the soil microbial community and plant development, using Solanum lycopersicum grown in the laboratory in soil microcosms. The data show that plant growth was heavily inhibited by the non-encapsulated pesticide treatment compared to that with encapsulated pesticide yielding 3.85-fold less plant biomass, while the soil microbial community experienced few to no changes regardless of the treatment. There was a 2.7-fold higher azoxystrobin uptake per unit dry plant biomass after 10 days of exposure for the non-encapsulated pesticide treatment when compared to that of nanoencapsulated pesticide, but only 1.5-fold increase in total uptake. After 20 days of exposure, however, the total uptake and uptake per unit of dry biomass were 3-fold and 10-fold higher, respectively, for the nanopesticide treatment. The differences in uptake can be attributed to phytotoxicity caused by the high the bioavailability of the non-encapsulated pesticide. The nanocarrier promoted slow release of the pesticide over days, which prevented phytotoxicity, and allowed healthy plant growth.
OP-EUJC180401 1045..1053

OBJECTIVES: The aim of this study was to measure the morphological remodelling of the ascending aorta, aortic arch and thoracic aorta after aortic arch hybrid treatment including debranching and stent graft implantation. METHODS: Preoperative, 1-month and 1-year follow-up of computed tomography angiography scans of 22 patients were analysed to compute the lumen centreline from the aortic root to the coeliac trunk, and the following measurements were derived: the total centreline length, distance from the aortic root to the left subclavian artery, distance from the left subclavian artery to the distal landing zone. For both preand postoperative centrelines, the pointwise curvature was measured at the proximal and the distal landing zones. The mean †The first two authors contributed equally to this paper. C O N V EN TI O N A L A O R TI C SU R G ER Y VC The Author(s) 2018. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved. European Journal of Cardio-Thoracic Surgery 55 (2019) 1045–1053 ORIGINAL ARTICLE doi:10.1093/ejcts/ezy397 Advance Access publication 7 December 2018 D ow naded rom http/academ ic.p.com /ejcts/artic/6/1045/5233431 by gest on 24 O cber 2021 curvature values of the whole aortic segment and the endografting region of the ascending and the descending aorta were measured. Surface outerline was computed as well, and curvature values at the endograft landing points were extracted. RESULTS: At the 1-month follow-up, centreline length were already significantly increased (382.66 ± 48.69 to 388.1 ± 50.75 mm; P = 0.01). Centreline pointwise curvature increased in the proximal (+29%, P = 0.011) and the distal zones (+63%, P = 0.004). Similarly, pointwise curvature of the outerline significantly increased in the proximal (+77%, P = 0.01) and the distal landing zones (+100%, P = 0.04). The centreline mean curvature increased in the ascending aorta (+7%, P = 0.02) and decreased in the endografting region (-3.3%, P = 0.004). No evidence of a relationship of such a remodelling with the type of endograft and the type of pathology was observed. This remodelling trend was confirmed by the analysis of 1-year computed tomography angiographies. CONCLUSIONS: Hybrid arch repair was associated with a significant elongation of the vessel and a significant increase in the curvature on the ascending aorta and the descending aorta and on the endograft proximal and the distal landing zones.
REVIEW: PART OF A SPECIAL ISSUE ON ECOLOGY AND EVOLUTION OF PLANT REPRODUCTION

• Background The male fitness pathway, from pollen production to ovule fertilization, is thought to strongly influence reproductive trait evolution in animal-pollinated plants. This pathway is characterized by multiple avenues of pollen loss which may lead to reductions in male fitness. However, empirical data on the mechanistic processes leading to pollen loss during transport are limited, and we therefore lack a comprehensive understanding of how male fitness is influenced by each step in the pollination process. • Scope This review assesses the history of studying male function in plants and identifies critical gaps in our understanding of the ecology and evolution of pollen transport. We explore male reproductive function along the steps of the pathway to paternity and discuss evolutionary options to overcome barriers to siring success. In particular, we present a newly emerging idea that bodies of pollinators function as a dynamic arena facilitating intense male–male competition, where pollen of rival males is constantly covered or displaced by competitors. This perspective extends the pollen-competitive arena beyond the confines of the stigma and style, and highlights the opportunity for important new breakthroughs in the study of male reproductive strategies and floral evolution.
Seroprevalence and Molecular Detection of Rift Valley Fever in Sheep, Gezira state, Sudan (2017-2019)

Aims: Livestock is the largest subsector of the Sudanese domestic economy and is a growing contributor to exports. Rift Valley fever (RVF) is an economically important arthropod-borne virus disease in Africa, primarily affecting sheep, goats, and cattle. RVF causes paramount loss in sheep industry in Sudan. The objective of this study was to detect RVF in sheep. Methodology: Five hundred and fifty-six sheep blood Serum from inoculated animals was collected from six study areas in the Gezira (Sudan)was evaluated for the presence of neutralizing antibodies using the diagnostic kit (ID. Vet.) for detecting antibodies directly against the RVFV nucleoprotein (NP) in serum and Reverse transcription (RT)-Polymerase Chain Reaction (PCR) protocol was used as standard test to diagnose and confirm RVFV among studied animals. Results: The ELISA test indicated that the highest Seroprevalence was found at Shikaira (38%), while samples from Albasabeir, Wad alnaem and Umalqura tested positive for antibodies against RVFV by 15%, 10% and 9% respectively. The lowest Seroprevalence found at Wad anor and Shabona (5% and 2%). The overall seroprevalence was 14.2% in the study sites, there is no significant difference among the six study sites with respect to seroprevalence. The Rt-PCR provided more sensitive and specific detection of RVFV in serum samples (sensitivity= 95% specificity = 80%). Conclusion: The results from this study showed the presence of anti-RVFV antibodies in all study sites, suggesting that RVFV is actively circulating among sheep in Gezira state. The high seroprevalence of RVFV infection in Gezira state indicates its endemicity. Test validation using ROC analysis was able to distinguished between ELISA (actual class) and the PCR (predicted class) and the AUC = 0.79 which indicate that the PCR is gold standard test. Thus Rt-PCR used in the present study is reliable to detect precisely the M segment of RVFV and it is valuable for Wide area survey, among both sheep and Aedes spp. Targeting the prevailing genotypes of RVF-M segment, especially at high-risk areas and as a confirmatory test that should be considered by reference laboratories in the region.
Influence of surface treatment on the strength of adhesive joints

Elżbieta Doluk1* (0000-0003-2605-1394), Anna Rudawska1 (0000-0003-3592-8047), Dana Stančeková2 (00000003-0713-8750), Jozef Mrázik2 (0000-0002-1793-6185) 1Lublin University of Technology, Faculty of Mechanical Engineering, Lublin, Poland, e.doluk@pollub.pl, a.rudawska@pollub.pl 2University of Zilina, Faculty of Mechanical Engineering, Zilina, Slovakia, dana.stancekova@fstroj.uniza. sk, jozef.mrazik@fstroj.uniza. sk
Applying Deep Learning Technologies to Evaluate the Patent Quality with the Collaborative Training

As the country vigorously promotes the development of science and technology and tries to enhance independent innovation capabilities, more and more attention is paid on the protection of technology ownership. In recent years, China has developed rapidly in many scientific and technological fields, and the number of patent applications increased year by year. However, various patent quality problems including immature patent technology and low patent authorization rate appear. The indicators of patent quantification and quality evaluation are studied in this paper. First, we quantify the patent quality evaluation indicators and combine the content of the patent text to build a patent evaluation model. US patents with patent grade labels are used for training with multitask learning technology. Second, the evaluation model is transferred from the English patents to the Chinese patents, in which the active learning technology and transfer learning technology are used to minimize the work of manual labeling. Finally, a Chinese patent quality evaluation model based on collaborative training was designed and implemented. Methods used in this experiment have notably improved the prediction effect of the model and achieved a better migration effect. A large number of experimental results show that the Chinese patent quality evaluation model has achieved good evaluation results. This research uses deep learning and natural language processing technology to carry out research on patent quality evaluation models from different perspectives, to provide patent decision support for related companies, and to point out research directions for research institutions and patent inventors.
GEMPROT: visualization of the impact on the protein of the genetic variants found on each haplotype

Summary When analyzing sequence data, genetic variants are considered one by one, taking no account of whether or not they are found in the same individual. However, variant combinations might be key players in some diseases as variants that are neutral on their own can become deleterious when associated together. GEMPROT is a new analysis tool that allows, from a phased vcf file, to visualize the consequences of the genetic variants on the protein. At the level of an individual, the program shows the variants on each of the two protein sequences and the Pfam functional protein domains. When data on several individuals are available, GEMPROT lists the haplotypes found in the sample and can compare the haplotype distributions between different subgroups of individuals. By offering a global visualization of the gene with the genetic variants present, GEMPROT makes it possible to better understand the impact of combinations of genetic variants on the protein sequence. Availability GEMPROT is freely available at https://github.com/TaniaCuppens/GEMPROT. An on-line version is also available at http://med-laennec.univ-brest.fr/GEMPROT/. Supplementary information Supplementary data are available at Bioinformatics online.
OP-JPEP180120 490..498

Objective The objective of this study is to examine parent and youth appraisals of illness uncertainty as potential serial mediators in the relation between disease severity and youth depressive symptoms in adolescents with inflammatory bowel disease (IBD). Methods Participants were 85 adolescents 13–18 years of age (Mage 1⁄4 15.75, SD 1⁄41.51) with a confirmed diagnosis of IBD (Crohn’s disease, 59%; ulcerative colitis, 41%) and a primary caregiver. At a scheduled outpatient visit, caregivers completed a measure of illness uncertainty, while adolescents completed measures of illness uncertainty and depressive symptoms. Pediatric gastroenterologists provided global estimates of disease severity. Results Path analysis revealed several significant direct and indirect associations among the modeled variables. Importantly, results provided support for the hypothesized disease severity! parent illness uncertainty! youth illness uncertainty! youth depressive symptoms serial mediation path (95% confidence interval 1⁄4 0.04 to 1.10). Conclusions Results indicate that increased disease activity may serve to magnify the unpredictable nature of IBD for parents, reflected in heightened perceptions of illness uncertainty. Our findings also suggest that increased parent illness uncertainty has a significant influence on youth illness uncertainty appraisals, which in turn translates into elevated depressive symptoms in adolescents with IBD. The clinical implications of our findings and suggestions for future studies are discussed.
BIOLITMAP: a web-based geolocated, temporal and thematic visualization of the evolution of bioinformatics publications

Motivation: The fast growth of bioinformatics adds a signiﬁcant difﬁculty to assess the contribution, geographical and thematic distribution of the research publications. Results: To help researchers, grant agencies and general public to assess the progress in bioinformatics, we have developed BIOLITMAP, a web-based geolocation system that allows an easy and sensible exploration of the publications by institution, year and topic. Availability and implementation: BIOLITMAP is available at http://socialanalytics.bsc. es/biolitmap and the sources have been deposited at https://github.com/inab/BIOLITMAP.
5FU-loaded PCL/Chitosan/Fe3O4 Core-Shell Nanofibers Structure: An Approach to Multi-Mode Anticancer System

Purpose: 5-Fluorouracil (5FU) and Fe3O4 nanoparticles were encapsulated in core-shell polycaprolactone (PCL)/chitosan (CS) nanofibers as a multi-mode anticancer system to study drug release sustainability. The structure of the core-shell drug delivery system was also optimized according to drug release behavior by artificial intelligence. Methods: The core-shell nanofibers were electrospun by a coaxial syringe. Artificial neural network (ANN) was used for function approximation to estimate release parameters. A genetic algorithm was then used for optimizing the structure. Chemical assay of the optimized sample was performed by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and energy-dispersive X-ray spectroscopy (EDX). vibration sample magnetometer (VSM) test was conducted to measure the real amount of loaded magnetic nanoparticles. HepG2 cell cytotoxicity was studied and the results for the optimized samples with and without Fe3O4 after 72 hours were reported. Results: Feeding ratio of sheath to core and the amount of CS, Fe3O4, and 5FU had a statistical effect on nanofibers diameters, which were 300-450 nm. The drug loading efficiency of these nanofibers was 65-86%. ANN estimated the release parameters with an error of 10%. The temperature increased about 5.6°C in the alternative magnetic field (AMF) of 216 kA.m-1~300 kHz and 4.8°C in the AMF of 154 kA.m-1~400 kHz after 20 minutes. HepG2 cell cytotoxicity for the optimized samples with and without Fe3O4 after 72 hours were 39.7% and 38.8%, respectively. Conclusion: Since this core-shell drug release system was more sustainable compared to the blend structure despite the low half-life of 5FU, it is suggested to utilize it as post-surgical implants for various cancer treatments such as liver or colorectal cancer in the future. This system is capable of providing chemotherapy and hyperthermia simultaneously.