Miracle-dz/UniFAR-FTUs huggingface dataset:
Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media

Objective There is little research that characterises knee pain related information disseminated via social media. However, variances in the content and quality of such sources could compromise optimal patient care. This study explored the nature of the comments on YouTube videos related to non-specific knee pain, to determine their helpfulness to the users. Methods A systematic search identified 900 videos related to knee pain on the YouTube database. A total of 3537 comments from 58 videos were included in the study. A categorisation scheme was developed and 1000 randomly selected comments were analysed according to this scheme. Results The most common category was the users providing personal information or describing a personal situation (19%), followed by appreciation or acknowledgement of others’ inputs (17%) and asking questions (15%). Of the questions, 33% were related to seeking help in relation to a specific situation. Over 10% of the comments contained negativity or disagreement; while 4.4% of comments reported they intended to pursue an action, based on the information presented in the video and/or from user comments. Conclusion It was observed that individuals commenting on YouTube videos on knee pain were most often soliciting advice and information specific to their condition. The analysis of comments from the most commented videos using a keyword-based search approach suggests that the YouTube videos can be used for disseminating general advice on knee pain.
Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study

Objective There is significant interest in the role of digital health technology in enabling optimal monitoring of heart failure patients. To harness this potential, it is vital to account for users’ capacity and preferences in the development of technological solutions. We adopted an iterative approach focussed on learning from users’ interactions with a mobile-health monitoring system. Methods We used a participatory mixed methods research approach to develop and evaluate a mobile-health monitoring system. Fifty-eight heart failure patients were recruited from three health care settings in the UK and provided with Internet-enabled tablet computers that were wirelessly linked to sensor devices for blood pressure, heart rate and weight monitoring. One to two home visits were conducted with a subgroup of 29 participants to evaluate the usability of the system over a median follow-up period of six months. The thematic analysis of observational data and 45 interviews was informed by the domestication of technology theory. Results Our findings indicate that digital health technologies need to create and extend connections with health professionals, be incorporated into users’ daily routines, and be personalised according to users’ technological competencies and interest in assuming a proactive or more passive role in monitoring their condition. Conclusions Users' patterns of engagement with health technology changes over time and varies according to their need and capacity to use the technology. Incorporating diverse user experiences in the development and maintenance of mobile-health systems is likely to increase the extent of successful uptake and impacts on outcomes for patients and providers.
Agomelatine versus fluoxetine in glycemic control and treating depressive and anxiety symptoms in type 2 diabetes mellitus subjects: a single-blind randomized controlled trial

Background Depressive and anxiety symptoms could seriously affect the quality of life of type 2 diabetes mellitus (T2DM) subjects. Currently, little is known about the efficacy and acceptability of agomelatine versus fluoxetine in treating these symptoms in T2DM subjects. Therefore, this study was performed to find out which one was better in treating these symptoms in T2DM subjects. Materials and methods T2DM subjects with depressive and anxiety symptoms were randomly assigned to receive either fluoxetine (30–40 mg/day) or agomelatine (25–50 mg/day). The treatment was continued for 12 weeks. The data of the Hamilton Depression Rating Scale (HDRS) and Hamilton Anxiety Rating Scale (HARS) were collected (at baseline and also at weeks 4, 8 and 12) to assess the depressive and anxiety symptoms, respectively. The metabolic parameters, including body mass index (BMI), fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c), were assessed at baseline and after 12 weeks of treatment. The treatment-related adverse events during the scheduled treatment period were recorded to compare the acceptability of these two drugs. Results After 12 weeks of treatment, the average HDRS and HARS scores were significantly decreased in both groups. The average HDRS scores were not significantly different between the two groups, although the agomelatine group had a lower average HDRS score. The response and remission rates were similar between the two groups, and these two drugs had no significant effects on BMI and FPG. However, compared with the fluoxetine group, the agomelatine group had the significantly lower average HARS score (p=0.0017) and lower average HbA1c level (p<0.00001). Moreover, the incidence of adverse events was significantly lower in the agomelatine group than in the fluoxetine group (p=0.032). Conclusion Both fluoxetine and agomelatine could effectively reduce depressive and anxiety symptoms in T2DM subjects, but agomelatine might be more effective and acceptable. Future studies with more subjects are needed to support and validate our conclusion.
Emotional Attachment, Performance, and Viability in Teams Collaborating with Embodied Physical Action (EPA) Robots

Although different types of teams increasingly employ embodied physical action (EPA) robots as a collaborative technology to accomplish their work, we know very little about what makes such teams successful. This paper has two objectives: the first is to examine whether a team’s emotional attachment to its robots can lead to better team performance and viability; the second is to determine whether robot and team identification can promote a team’s emotional attachment to its robots. To achieve these objectives, we conducted a between-subjects experiment with 57 teams working with robots. Teams performed better and were more viable when they were emotionally attached to their robots. Both robot and team identification increased a team’s emotional attachment to its robots. Results of this study have implications for collaboration using EPA robots specifically and for collaboration technology in general.
Real-world insights on the use of transversus abdominis plane block with liposomal bupivacaine in the multimodal management of somatic versus visceral pain in the colorectal surgery setting

Multimodal approaches are recommended to achieve effective postsurgical analgesia with reduced opioid reliance and are integral to enhanced recovery after surgery (ERAS) protocols. Transversus abdominis plane (TAP) block is a regional analgesia technique commonly used in colorectal ERAS protocols, particularly in the laparoscopic surgery setting. Clinical trial data demonstrate TAP block with liposomal bupivacaine ([LB]; Exparel®, bupivacaine liposome injectable suspension; Pacira Pharmaceuticals, Inc., Parsippany, NJ, USA) to be an effective opioid-sparing approach for controlling pain after colorectal surgery. However, clinical trials poorly address patient factors that might affect outcomes using this approach. This editorial provides the author’s personal experience and opinions regarding the optimal use of LB in multimodal management of somatic versus visceral pain and in complex cases, including patients with ulcerative colitis (UC) or other intense visceral inflammatory processes. Such patients are difficult to manage because of visceral pain, chronic opioid use, and increased opioid requirements and may require epidural analgesia and dose escalation. The author’s clinical experience suggests that TAP block with LB may not fully address visceral pain but can improve the somatic component, reducing the necessary epidural analgesia dose and allowing for the safe expansion of treatment options to include modalities that control visceral pain. Additional data are needed to further determine how patient factors such as comorbid disease affect efficacy and safety outcomes with this approach.
Nickel Sulfides Decorated SiC Foam for the Low Temperature Conversion of H2S into Elemental Sulfur

The selective oxidation of H2S to elemental sulfur was carried out on a NiS2/SiCfoam catalyst under reaction temperatures between 40 and 80 °C using highly H2S enriched effluents (from 0.5 to 1 vol.%). The amphiphilic properties of SiC foam provide an ideal support for the anchoring and growth of a NiS2 active phase. The NiS2/SiC composite was employed for the desulfurization of highly H2S-rich effluents under discontinuous mode with almost complete H2S conversion (nearly 100% for 0.5 and 1 vol.% of H2S) and sulfur selectivity (from 99.6 to 96.0% at 40 and 80 °C, respectively), together with an unprecedented sulfur-storage capacity. Solid sulfur was produced in large aggregates at the outer catalyst surface and relatively high H2S conversion was maintained until sulfur deposits reached 140 wt. % of the starting catalyst weight. Notably, the spent NiS2/SiCfoam catalyst fully recovered its pristine performance (H2S conversion, selectivity and sulfur-storage capacity) upon regeneration at 320 °C under He, and thus, it is destined to become a benchmark desulfurization system for operating in discontinuous mode.
Academic outcomes of flipped classroom learning: a meta‐analysis

The flipped classroom (FC), reversing lecture and homework elements of a course, is popular in medical education. The FC uses technology‐enhanced pre‐class learning to transmit knowledge, incorporating in‐class interaction to enhance higher cognitive learning. However, the FC model is expensive and research on its effectiveness remains inconclusive. The aim of this study was to compare the efficacy of the FC model over traditional lecture‐based (LB) learning by meta‐analysis.
Spectral Efficiency of Massive MIMO Systems With Multiple Sub-Arrays Antenna

In this paper, we study the achievable spectral efficiency (SE) for multi-user massive multiple-input multiple-output (MIMO) systems in a single cell, where the base station (BS) has the perfect channel state information and utilizes the maximum ratio transmission precoding. The channel model is built based on a finite dimensional mmWave channel by taking the azimuth angle into account and all users are assumed to have a random distribution in a circular-shaped cell. When the BS is deployed with a full uniform linear array (ULA) configuration, an analytical expression is derived by taking into account the expectation of the squared inner product between every two channel vectors that is viewed as inter-user interference. To effective suppress inter-user interference, we focus on studying the BS installing a multiple sub-arrays antenna configuration, in which all antennas are divided into three sub-ULA configurations to cover three regions of the cell, respectively. A closed-form expression on the inter-user interference is derived. Furthermore, we evaluate the performance of full ULA and three sub-ULA configurations and derive approximated expressions on the achievable SE. Numerical results reveal that the achievable SE of system increases with the number of antennas, while it approaches saturation in the high-SNR regime. Interestingly, it is also found that three sub-ULA configurations are able to suppressive user interference and their achievable SE is superior to full ULA configuration, which has a great potential of mmWave massive MIMO systems.
Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition

Historical manuscripts are the main source of information about past. In recent years, digitization of large quantities of historical handwritten documents is in vogue. This trend gives access to a plethora of information about our medieval past. Such digital archives can be more useful if automatic indexing and retrieval of document images can be provided to the end users of a digital library. An automatic transcription of the full digital archive using traditional Optical Character Recognition (OCR) is still not possible with sufficient accuracy. If full transcription is not available, the end users are interested in indexing and retrieving of particular document pages of their interest. Hence recognition of certain keywords from within the corpus will be sufficient to meet the end users needs. Recently, deep-learning based methods have shown competence in image classification problems. However, one bottleneck with deep-learning based techniques is that it requires a huge amount of training samples per class. Since the number of samples per word class is scarce for collections that are freshly scanned, this is a serious hindrance for direct usage of the deep-learning technique for the purpose of word image recognition in historical document images. This paper aims to investigate the problem of recognizing words from historical document images using a deep-learning based framework for feature extraction and classification while countering the problem of the low amount of image samples using off-line data augmentation techniques. Encouraging results (highest accuracy of 90.03%) were obtained while dealing with 365 different word classes.
Vector-Borne Diseases, Surveillance, Prevention Surveillance for Ixodes scapularis (Acari Ixodidae) and Borrelia burgdorferi in Eastern South Dakota State Parks and Nature Areas

Ixodes scapularis (Acari: Ixodidae) is the principal vector of Borrelia burgdorferi (the etiologic agent of Lyme disease) in the eastern and midwestern United States. Recent efforts have documented the first established population of I. scapularis in South Dakota, representing a western expansion of the known species distribution. Our goal was to describe the current distribution of I. scapularis in eastern South Dakota and to survey for the presence of B. burgdorferi in questing I. scapularis. We surveyed for the presence of adult and nymphal I. scapularis in seven counties within South Dakota, including 13 locales from 2016 to 2017. We then tested all I. scapularis, including those collected in 2015 from a previous study, for the presence of B. burgdorferi sensu stricto, via quantitative and conventional polymerase chain reaction. Here, we document the presence of I. scapularis in four new counties in South Dakota, and report the first instance of B. burgdorferi in a questing tick in South Dakota. Coupled with data from the Centers for Disease Control and Prevention and Companion Animal Parasite Council our data show that the risk of contracting Lyme disease in South Dakota is low, but existent and should be an important consideration with regard to public health, pets, and wildlife.
The Association between Molar-Incisor Hypomineralization and Dental Caries with Socioeconomic Status as an Explanatory Variable in a Group of Finnish Children

The aim of this study was to investigate if a developmental enamel defect known as Molar-Incisor Hypomineralization (MIH) is associated with dental caries. Socioeconomic status (SES) was examined as a confounding factor between caries and MIH. In this cross-sectional study, 636 children, aged 8 to 13 years, from three towns (two rural areas and one urban area) in Finland were examined for MIH in line with the criteria of the European Academy of Paediatric Dentistry. Caries status for permanent teeth was recorded as decayed, missing and filled teeth (DMFT). Caries experience (DMFT > 0) in the first permanent molars (FPMs) was set as an outcome. SES was determined using a questionnaire completed by parents. The prevalence of MIH was 18.1%. The mean DMFT in FPMs for children with MIH was higher than for their peers, 1.03 ± 1.25 vs. 0.32 ± 0.80 (p = 0.000, Mann-Whitney U test). In a multivariate analysis using the generalized linear mixed model where locality, SES, age and MIH were taken into account as caries risk indicators, MIH was the strongest risk indicator of caries in FPMs (Odds Ratio: 6.60, 95% Confidence Interval: 3.83–11.39, p = 0.000). According to the study results, children with MIH have a higher risk for dental caries than children without MIH.
Not feeling ready to go home: a qualitative analysis of chronically ill patients’ perceptions on care transitions

QUALITY PROBLEM Unplanned hospital readmissions frequently occur and have profound implications for patients. This study explores chronically ill patients' experiences and perceptions of being discharged to home and then acutely readmitted to the hospital to identify the potential impact on future care transition interventions. INITIAL ASSESSMENT AND IMPLEMENTATION Twenty-three semistructured interviews were conducted with chronically ill patients who had an unplanned 30-day hospital readmission at a university teaching hospital in the Netherlands. CHOICE OF SOLUTION A constructive grounded theory approach was used for data analysis. EVALUATION The core category identified was 'readiness for hospital discharge,' and the categories related to the core category are 'experiencing acute care settings' and 'outlook on the recovery period after hospital discharge. ' Patients' readiness for hospital discharge was influenced by the organization of hospital care, patients' involvement in decision-making and preparation for discharge. The experienced difficulties during care transitions might have influenced patients' ability to cope with challenges of recovery and dependency on others. LESSONS LEARNED The results demonstrated the importance of assessing patients' readiness for hospital discharge. Health care professionals are recommended to recognize patients and guide them through transitions of care. In addition, employing specifically designated strategies that encourage patient-centered communication and shared decision-making can be vital in improving care transitions and reduce hospital readmissions. We suggest that health care professionals pay attention to the role and capacity of informal caregivers during care transitions and the recovery period after hospital discharge to prevent possible postdischarge problems.
HF (5 MHz) Imaging of the Moon by Kaguya Lunar Radar Sounder Off Nadir Echo Data

HF (5MHz) imaging of lunar surface was attempted using off nadir echo data of Kaguya Lunar Radar Sounder (LRS). LRS observation data of multiple orbits were processed and mapped onto a surface which was defined based on the Kaguya Digital Elevation Model. The transmitting/receiving antenna of LRS is a dipole antenna which illuminates lunar surface on both sides of orbit, consequently, in a single-orbit observation, a detected target location has ambiguity in terms of the side of the orbit. However, use of multiple orbit data enables to resolve this ambiguity problem, i.e., radar illumination is controlled. We demonstrated this HF imaging technique by reconstructing surface images of Rupes Recta region using LRS observation data of 61 orbits. Control of radar illumination was confirmed by the presence/absence of Rupes Recta image in the reconstructed surface images. As it was anticipated, the reconstructed surface images presented false images which were identified as mirror images of major surface features. We also carried out simulation of these LRS observations of 61 orbits over the Rupes Recta site using Kirchhoff-approximation Surface Scattering (KiSS) simulation code. Comparison of the images of LRS observation and those of KiSS simulation exposed some discrepancies. Our interpretation is that the discrepancies are attributed to shallow subsurface scatterings which the KiSS simulation does not take into account. This implies the possibility of imaging shallow lava tubes by LRS, although we did not find one in this particular site of Rupes Recta region.
An Adaptive AQM Algorithm Based on a Novel Information Compression Model

Because the bufferbloat phenomenon has significantly degraded the quality of service of interactive applications, there is pressing need for effective active queue management (AQM) strategies to be deployed at both intermediate devices and consumer edges. Existing models and AQM design methods usually lack sufficient consideration of heterogenous round-trip times, uncertain endpoint mechanisms, and time-varying network conditions. This paper proposes an innovative information compression model purely from routers’ perspective by evaluating the average effect an accepted/dropped packet has on the aggregated packet arriving rate. The proposed model is independent of round-trip time heterogeneity and specific endpoint protocols. A customized parameter identification algorithm and corresponding control strategy are developed to scale the regulating sensitivity of dropping probability adaptively. Simulation results demonstrate the performance improvements of the proposed algorithm in providing a good tradeoff between reducing the latency and maximizing the goodput, especially in large delay environments.
The effect of running versus cycling high-intensity intermittent exercise on local tissue oxygenation and perceived enjoyment in 18–30-year-old sedentary men

Background High-intensity interval training (HIIT) has been proposed as a time-efficient exercise format to improve exercise adherence, thereby targeting the chronic disease burden associated with sedentary behaviour. Exercise mode (cycling, running), if self-selected, will likely affect the physiological and enjoyment responses to HIIT in sedentary individuals. Differences in physiological and enjoyment responses, associated with the mode of exercise, could potentially influence the uptake and continued adherence to HIIT. It was hypothesised that in young sedentary men, local and systemic oxygen utilisation and enjoyment would be higher during a session of running HIIT, compared to a session of cycling HIIT. Methods A total of 12 sedentary men (mean ± SD; age 24 ± 3 years) completed three exercise sessions: a maximal incremental exercise test on a treadmill (MAX) followed by two experiment conditions, (1) free-paced cycling HIIT on a bicycle ergometer (HIITCYC) and (2) constant-paced running HIIT on a treadmill ergometer (HIITRUN). Deoxygenated haemoglobin (HHb) in the gastrocnemius (GN), the left vastus lateralis (LVL) and the right vastus lateralis (RVL) muscles, oxygen consumption (VO2), heart rate (HR), ratings of perceived exertion (RPE) and physical activity enjoyment (PACES) were measured during HIITCYC and HIITRUN. Results There was a higher HHb in the LVL (p = 0.001) and RVL (p = 0.002) sites and a higher VO2 (p = 0.017) and HR (p < 0.001) during HIITCYC, compared to HIITRUN. RPE was higher (p < 0.001) and PACES lower (p = 0.032) during HIITCYC compared to HIITRUN. Discussion In sedentary individuals, free-paced cycling HIIT produces higher levels of physiological stress when compared to constant-paced running HIIT. Participants perceived running HIIT to be more enjoyable than cycling HIIT. These findings have implications for selection of mode of HIIT for physical stress, exercise enjoyment and compliance.