Miracle-dz/UniFAR-FTUs huggingface dataset:
Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

Background The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools. Objective This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults. Methods We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF). Results Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E). Conclusions Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps.
Analysis of water vapor adsorption in soils by means of a lysimeter and numerical modeling

Daily temperature oscillations can cause adsorption (and desorption) of atmospheric water vapor by soils. The resulting daily fluctuations in the amount of liquid water in the soil can be measured by high‐precision weighing lysimeters. We analyzed the data of a lysimeter in a sandy dune sediment in southern Spain using Codebright, a thermohydraulic numerical model for unsaturated flow that takes into account water, vapor, and heat transport in the soil, as well as soil–atmosphere interactions such as precipitation, evaporation, and solar radiation. The analysis shows that daily temperature oscillations, psychrometrics, and soil water retention can explain the fluctuations of the amount of liquid water in the soil. The retention curve, especially its driest part, is essential for the existence of these fluctuations. The fluctuations could not be reproduced by a model using the van Genuchten retention curve with a constant residual saturation. On the other hand, satisfactory results could be obtained by models using retention curves that at their driest part still show a change of saturation with suction. Moreover, the models suggest within the top few decimeters of the soil a pattern of alternating bands of condensation and evaporation, which follows the daily temperature oscillations that fade out deeper in the soil.
Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems. The objective is to show how the hybridization of two multi-objective derivative-free global and local algorithms achieves better performance than the separate use of the two algorithms in solving specific SBDO problems for hull-form design. The proposed method belongs to the class of memetic algorithms, where the global exploration capability of multi-objective deterministic particle swarm optimization is enriched by exploiting the local search accuracy of a derivative-free multi-objective line-search method. To the authors best knowledge, studies are still limited on memetic, multi-objective, deterministic, derivative-free, and evolutionary algorithms for an effective and efficient solution of SBDO for hull-form design. The proposed formulation manages global and local searches based on the hypervolume metric. The hybridization scheme uses two parameters to control the local search activation and the number of function calls used by the local algorithm. The most promising values of these parameters were identified using forty analytical tests representative of the SBDO problem of interest. The resulting hybrid algorithm was finally applied to two SBDO problems for hull-form design. For both analytical tests and SBDO problems, the hybrid method achieves better performance than its global and local counterparts.
Study of Euglenophytes Bloom and it's Impact on Fish Growth in Bangladesh

A study was carried out in nine fertilized fish ponds under three treatments (T-I, T-II and T-III) at Bangladesh Agricultural University, Mymensingh to see the bloom of euglenophytes with the intention of observing its impact on the growth of fish in culture condition. Some water quality parameters viz., temperature, dissolved oxygen, pH, PO4-P and NO3-N concentration and some biological parameters viz., phytoplankton population and growth of fish were monitored at fixed intervals. Euglenophytes showed a heavy bloom in late August in the ponds of T-II. The bloom was occurred by the genera, Euglena, Phacus and Trachelomonas of which Euglena was the most dominant genus. In relation of water quality parameters with euglenophytes bloom, it was hypothesized that euglenophytes prefers higher temperature and acidic environment with higher nutrient concentrations. Acidic environment and nutrient enrichment enhanced the bloom of euglenophytes which hampered the growth of other beneficial algal groups (chlorophytes and bacillariophytes) and fish. Due to heavy bloom, the fishes breathed with difficulty at the surface. The fishes in the heavy bloom ponds presented the weight values were lower than verified for those in the ponds where the bloom did not occur. Total production (calculated) of fish in different treatments ranged from 1355.89 to1760.63 kg ha–1 with significantly (p
Identification of Type VI Effector Proteins Using a Novel Ensemble Classifier

The type VI secretion system (T6SS) delivers effector proteins (Type VI secretion system effectors, termed T6SEs) into neighboring target cells. Many human pathogens express T6SEs, including Vibrio cholera, Burkholderia spp. , and Pseudomonas aeruginosa. T6SEs play vital roles in the competitive survival and pathogenesis of bacterial populations. Several machine-learning methods are able to distinguish T6SEs from non-T6SEs. However, we believe there is room for further development. Therefore, herein we propose a more powerful ensemble predictor for identifying T6SEs. Initially, we construct a benchmark dataset from existing studies and databases. Then we use $k$ -separated-bigrams-PSSM (a type of feature encoding) to convert the protein sequences to mathematical vectors. A synthetic minority oversampling technique (SMOTE) is next employed to solve the training data imbalance problem. Finally, we employ a soft voting strategy to construct an integrated model combining six fine-tuned base classifiers. The model we propose performs excellently in terms of accuracy (ACC, 99.0%), Matthew’s correlation coefficient (MCC, 97.8%), sensitivity (SN, 97.1%), and specificity (SP, 100%) in independent testing.
Measuring Frailty in Health Care Databases for Clinical Care and Research

Considering the increasing burden and serious consequences of frailty in aging populations, there is increasing interest in measuring frailty in health care databases for clinical care and research. This review synthesizes the latest research on the development and application of 21 frailty measures for health care databases. Frailty measures varied widely in terms of target population (16 ambulatory, 1 long-term care, and 4 inpatient), data source (16 claims-based and 5 electronic health records [EHR]-based measures), assessment period (6 months to 36 months), data types (diagnosis codes required for 17 measures, health service codes for 7 measures, pharmacy data for 4 measures, and other information for 9 measures), and outcomes for validation (clinical frailty for 7 measures, disability for 7 measures, and mortality for 16 measures). These frailty measures may be useful to facilitate frailty screening in clinical care and quantify frailty for large database research in which clinical assessment is not feasible.
Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing

This article addresses the event-triggered dynamic surface control of an underactuated autonomous surface vehicle with unknown kinetics for circumnavigating a dynamic target with unknown velocity. A modular design approach to the event-triggered dynamic surface control is proposed for target enclosing. In the estimator module, an extended state observer is employed for estimating the relative motion between the target and the surface vehicle. A fuzzy system is used for online modeling the unknown vehicle kinetics. In the controller module, an event-triggered dynamic surface control law is constructed by using the estimated relative velocities and vehicle kinetics in the estimator module. In the control law, a triggered mechanism is introduced to reduce the transmission load and the execution rate of actuators. Besides, the control inputs are bounded with the aid of a projection operator and saturated functions. The input-to-state stability of the closed-loop target enclosing system is proven through Lyapunov analysis. Simulation results substantiate the effectiveness of the event-triggered dynamic surface control method for circumnavigating a maneuvering target.
Tracking Fluid Flow in Shallow Crustal Fault Zones: 2. Insights From Cross‐Hole Forced Flow Experiments in Damage Zones

Cross‐hole fluid injection tests were performed on shallow (0.5 km depth) crustal fault zones to characterize their internal flow structures on scales of 3–30 m. The data were acquired at the Grimsel Rock Laboratory, Switzerland, after the zonal isolation of damage zones in boreholes equipped with multipacker systems. We show that 80% of the pressure responses detected evolved as a power function of time due to fracture‐controlled flow and were best described by a fractional model with a flow dimension (n) in the range of [1.3,1.5]. The scaling of characteristic times (tc) and intermediate transitions in the flow dimension is shown to be inconsistent with the trend expected for normal diffusion, indicating a diffusion slowdown process caused by the spatial integration of structurally different damage zones. An analysis of the entire data set points to a subdiffusive regime where the mean squared displacement of pressure fronts, ⟨r2(t)⟩, scales as ⟨r2(t)⟩∝t0.59, similar to an anomalous diffusion process on synthetic fractal systems. We characterize this diffusion slowdown by calculating a network connectivity exponent (θ) of 1.4, from which we estimate a fractal dimension of df=2.23 for the tested fault zones. Such a value close to 2.0 supports the view of fault damage zones as hierarchical systems promoting flow channeling. Our results provide further support to theoretical models of fractional flow and their application to fractured media in nature.
Larval development and metamorphosis of Nereimyra punctata (O.F. Müller) (Hesionidae, Polychaeta)

Abstract Nereimyra punctata, which occurs in two colour varieties in the polluted Oslofjord, is an important component of the fauna, but its life history has been incompletely known. The adult stage is briefly illustrated and described to define the diagnostic characters of larvae and juveniles. A series of developmental stages is figured and described based on wild-caught planktonic and benthic larvae. N. punctata spawns in spring, and the pelagic larvae develop transitory setae on the second and third segments (tentacular segments in adults) before they settle on the bottom between April and August. A median prostomial antenna develops early in the bottom stage but is lost in adults. The benthic larvae grow fast and increase from c. 0.5 mm to 2–3 mm (juveniles) in 4–6 months. A further 11/2 years of growth elapse before spawning takes place. The pelagic larvae can be distinguished from other hesionids by their poorly developed head appendages, red eyes, long dorsal cirri on segment 2, lack of ventral ci.
Investigate the relationship between attitude and practical commitment to prayer with moral courage in nurses working in Kashan University of Medical Sciences, 2019

: Background: Spiritual and religious worship such as prayer is one of the fourteen basic human needs. Nurses need moral courage to function properly. This study aimed was to determine the relationship between practical attitude and commitment to prayer and moral courage in nurses working in Kashan University of Medical Sciences. Materials and Methods: This study is cross-sectional and the population were all nurses working in Kashan University of Medical Sciences. Criteria for entering the study were employment in Kashan University of Medical Sciences and willingness and informed consent to participate in the study and the exit criteria were unwilling to cooperate in the study. Multi-stage random sampling was used. In this method, Medical centers were considered as a cluster and wards were classified as class. Data collection was done through a questionnaire with three parts: background information and a tool for measuring attitude and practical commitment to prayers Anessa's and a tool for measuring moral courage of nurses Sadoughi Asl. Data were analyzed by SPSS software version 16 and descriptive and analytical statistics. Results: 42.5% of the nurses participating in this study (170 persons) were men. The mean and standard deviation of the age of the nurses were (34.53±11.71). The mean and standard deviation of attitude and practical commitment to nurses' prayers (123.46±19.95) and moral courage of nurses (241.95±31.11) ,The relationship between these variables was statistically significant (P<0.05). Conclusion: Regarding the relationship between prayer and behavioral consequences of prayer and moral courage in determining the level of health, nursing policy-makers and planners are advised to improve and enhance their practical attitude and commitment to prayer and to seek moral courage among nurses.
Groundwater Circulation in Fractured and Karstic Aquifers of the Umbria-Marche Apennine

The Umbria-Marche Apennine has a large number of springs that drain water stored in carbonate formations. Spring groundwater constitutes a crucial freshwater resource for many countries, regions, and cities around the world. This study aimed to understand the hydrological mechanisms behind groundwater circulation and their relationship to the structural and stratigraphic settings of specific aquifers. Recession analysis and time series analysis were applied to the daily discharge of six springs monitored over eight years. Both analyses indicated the presence of two types of aquifers: aquifer with unimodal behavior and aquifer with bimodal behavior. The first are characterized by two hydrodynamic sub-regimes, in which fracture networks control the baseflow and conduit networks control the quickflow. In contrast, other springs present only one hydrodynamic sub-regime related to fracture network drainage. Time series analysis confirms the results of recession analysis, showing a large memory effect and a large response time, implying the dominance of the baseflow sub-regime. These results indicate that the Maiolica Formation is characterized by a high degree of fracturation and slight karstification, which control infiltration and percolation, whereas the Calcare Massiccio Formation regulates groundwater circulation in the deeper zones of the aquifer, characterized by a high degree of karstification through moderately developed conduit networks.
Physiotherapists’ experiences with a four-week mindfulness-based stress reduction program

Abstract Objective The study sought to gather the perceptions and experiences of a group of physiotherapists who took part in mindfulness-based stress reduction program (MBSR). Methods Semi-structured interviews were conducted with eight physiotherapists who took part in a four-week formal and self-directed mindfulness meditation program. The data collected were analysed by implementing a thematic analysis. Results Themes were identified in relation to perceived health benefits (stress reduction and increased attentiveness), the perceived impact of the MBSR on their professional practice and the perceived difficulties in practicing mindfulness. Conclusion The data from this study offer qualitative evidence that mindfulness practise can become an important element in a physiotherapists’ stress reduction toolkit, by helping them deal with the challenges of their professional practise. The main difficulties encountered with the program were related to the feelings of sleepiness that MBSR induced in them in the beginning. The participants also reported that the long duration of the sessions was another obstacle, suggesting that a brief form of meditation would be preferable and more convenient.
Fragility curve of low-to-mid-rise concrete frame retrofitted with FRP

In order to achieve satisfactory global seismic behaviour of a concrete fame structure and to prevent undesirable local failures of its structural element, local strengthening of structural members by means of FRP wrap is one of the cost effective retrofitting strategy. This FRP wrapped column will increase the ductility of the element as well as the capacity that in turn will allow attaining more energy dissipating global performance. This on-going research aims to demonstrate the seismic performance of Low-to-Mid-Rise Concrete Frame retrofitted by FRP wrap in several configurations. The fragility curves of the structure before and after to local strengthening will be developed and analysed. Fragility curve will describe the probability of the structure that will exceed certain damage states given the ground shaking intensity during its service life. This curve allows evaluation for the retrofitting strategy is carried out rationally.
Intercropping of Cereals and Legumes for Forage Production

Cereals are high important in feeding ruminant animals for their high dry matter production and low cost. However, cereals forage is poor in protein content which shows their low quality and nutritive value. Regarding to high feed costs of protein supplementations, legumes can be used in livestock nutrition for their high protein content and, thus, providing cost saving. Since legumes have low dry matter yield, acceptable forage yield and quality can obtained from intercropping of cereals and legumes compared with their sole crops. In this paper, forage quality indicators and different factors affecting forage quality are discussed. Forage production and quality of different cereals-legumes intercropping are also reviewed, where; different legumes had different effect on forage quality when intercropped with specific cereal. Regarding to forage quality and quantity, different cereals also led to different production of forage. A number of factors which must be noticified in selecting cereal-legume intercropping compositions, especially for forage production, were considered.
Histomorphology and micrometry of testis of Chamurthi horse.

Histomorphological features of testes were studied in ten apparently healthy Chamurthi horses. The testes were surrounded by visceral layer of tunica vaginalis consisting of mesothelium and connective tissue which blended with tunica albuginea. The capsule was thicker in the right testis than the left one. The seminiferous tubules were tortuous, two ended loops and were lined by stratified epithelium consisting of Sertoli and spermatogenic cells. The interstitial tissue was present between seminiferous tubules and consisted of loose connective tissue network, blood vessels and lymph vessels, collagen fibres, reticular fibres and Leydig cells. The diameter of Leydig cells was recorded more in right testis than the left one.
Evaluation of establishment of Cyphocleonus achates and its potential impact on spotted knapweed

Environmental characteristics of a site may greatly influence the establishment and impact of biological control agents on the target weed. A biological control agent that is highly successful in one region may be virtually ineffective in another (Gurr and Wratten 2000). To maximize the use of limited availability of agents and financial resources, we should try to improve the success of our biological control releases by understanding the site requirements of individual biological control agents.
Predicting Broad-Spectrum Antiviral Drugs against RNA Viruses Using Transcriptional Responses to Exogenous RNA

All RNA viruses deliver their genomes into target host cells through processes distinct from normal trafficking of cellular RNA transcripts. The delivery of viral RNA into most cells hence triggers innate antiviral defenses that recognize viral RNA as foreign. In turn, viruses have evolved mechanisms to subvert these defenses, allowing them to thrive in target cells. Therefore, drugs activating defense to exogenous RNA could serve as broad-spectrum antiviral drugs. Here we show that transcriptional signatures associated with cellular responses to the delivery of a non-viral exogenous RNA sequence into human cells predict small molecules with broad-spectrum antiviral activity. In particular, transcriptional responses to the delivery of Cas9 mRNA into human hematopoietic stem and progenitor cells (HSPCs) highly matches those triggered by small molecules with broad-spectrum antiviral activity such as emetine, homoharringtonine, pyrvinium pamoate and anisomycin, indicating that these drugs are potentially active against other RNA viruses. Furthermore, these drugs have been approved for other indications and could thereby be repurposed to novel viruses. We propose that the antiviral activity of these drugs to SARS-CoV-2 should therefore be determined as they have been shown as active against other coronaviruses including SARS-CoV-1 and MERS-CoV. Indeed, two of these drugs- emetine and homoharringtonine- were independently shown to inhibit SARS-CoV-2 as this article was in preparation. These drugs could also be explored as potential adjuvants to COVID-19 vaccines in development due to their potential effect on the innate antiviral defenses that could bolster adaptive immunity when delivered alongside vaccine antigens.