Miracle-dz/UniFAR-FTUs huggingface dataset:
Digital health interventions to support family caregivers: An updated systematic review

Objective Chronic diseases are the leading causes of death and disability in the U.S., and disease management largely falls onto patients’ family caregivers. The long-term burden and stress of caregiving negatively impact caregivers’ well-being and ability to provide care. Digital health interventions have the potential to support caregivers. This article aims to provide an updated review of interventions using digital health tools to support family caregivers and the scope of the Human-Centered Design (HCD) approaches. Methods We conducted a systematic search on July 2019 and January 2021 in PubMed, CINAHL, Embase, Cochrane Library, PsycINFO, ERIC, and ACM Digital Library, limiting to 2014–2021 to identify family caregiver interventions assisted by modern technologies. The Mixed Methods Appraisal Tool and the Grading of Recommendations Assessment, Development and Evaluation were used to evaluate the articles. Data were abstracted and evaluated using Rayyan and Research Electronic Data Capture. Results We identified and reviewed 40 studies from 34 journals, 10 fields, and 19 countries. Findings included patients’ conditions and relationships with family caregivers, how the technology is used to deliver the intervention, HCD methods, theoretical frameworks, components of the interventions, and family caregiver health outcomes. Conclusion This updated and expanded review revealed that digitally enhanced health interventions were robust at providing high-quality assistance and support to caregivers by improving caregiver psychological health, self-efficacy, caregiving skills, quality of life, social support, and problem-coping abilities. Health professionals need to include informal caregivers as an essential component when providing care to patients. Future research should include more marginalized caregivers from diverse backgrounds, improve the accessibility and usability of the technology tools, and tailor the intervention to be more culturally and linguistically sensitive.
Research on Control-Winding-Current Orientation Control for Grid-Connected Brushless Doubly Fed Induction Generation System

Compared with the traditional doubly-fed induction generator (DFIG), the brushless doubly-fed induction generator (BDFIG) eliminates the slip rings and brush gear, which has the benefit of low maintenance costs and high reliability. It thus promises broad application prospects in power generation. The whole generation system should operate in both stand-alone mode and grid-connected mode to provide uninterrupted and continuous power to critical loads. The two operating modes have different control structures due to separate control targets, increasing the control complexity of the power generator system. This article proposes the control winding (CW) current-oriented vector control method for BDFIG in grid-connected mode, which has unique advantages in stand-alone mode. First, the modified variables are obtained under the CW-current rotating frame; Second, the power expression of the system is deduced according to the modified variables; Third, the angle of CW was chosen as a new control degree of freedom based on phase-angle control to realize power control. The proposed control strategy analyzed the control principle of CW-current amplitude and angle control in detail. This method adopts the same orientation strategy with stand-alone mode, which avoids the switching of orientation strategy in different operation modes, thus simplifying the system design a lot. Moreover, considering the same criteria GSC control, reactive power compensation, the control during grid voltage recovery and so on, the large CW-current can be limited at a safety level once the overload or grid faults happened, which can easily achieve Low-Voltage-Ride-Through (LVRT) and significantly increased security and stability of the system. Finally, the proposed control strategy is verified by the experimental results.
Biocontrol of Xyleborus affinis (Curculionidae: Scolitinae) Females and Progeny by Beauveria bassiana (Hypocreales: Cordycipitaceae) in a Sawdust Artificial Diet Model

Simple Summary Ambrosia beetles may constitute a serious problem in natural and agroecosystems. The use of entomopathogenic fungi has been proposed for their biocontrol. However, beetles’ cryptic behavior requires particular bioassays to determine the true impact of fungi on adults and their progeny. In this study, we evaluated the effect of exposing adult females of Xyleborus affinis and their progeny to Beauveria basssiana in artificial diet bioassays. We demonstrated that the fungi biological activity on X. affinis adults and their progeny was limited to high doses of conidia suspension, since insect drilling behavior removes infective units. Abstract The ambrosia beetle Xyleborus affinis, recently reported affecting avocado trees in Mexico, represents one of the most widespread insects worldwide. Previous reports have shown that Xyleborus genera members are susceptible to Beauveria bassiana and other entomopathogenic fungus strains. However, their effect on borer beetles’ progeny has not been fully investigated. The aim of the present study was to determine the insecticidal activity of B. bassiana on X. affinis adult females and their progeny in an artificial sawdust diet bioassay model. The B. bassiana strains CHE-CNRCB 44, 171, 431, and 485 were individually tested on females at concentrations ranging from 2 × 106 to 1 × 109 conidia mL−1. After 10 d of incubation, diet was evaluated to count laid eggs, larvae, and adults. Insect conidia loss after exposure was determined by attached conidia to each insect after 12 h of exposure. The results showed that females’ mortality ranged between 3.4% and 50.3% in a concentration–response manner. Furthermore, we did not observe statistical differences among strains at the highest concentration. CHE-CNRCB 44 showed the highest mortality at the lowest concentration and reduced larvae and laid eggs at the highest concentration (p < 0.01). Strains CHE-CNRCB 44, 431, and 485 significantly decreased larvae, as compared with the untreated control. After 12 h, up to 70% of conidia was removed by the effect of the artificial diet. In conclusion, B. bassiana has the potential to control X. affinis adult females and progeny.
Sustained-Release Vildagliptin 100 mg in Type 2 Diabetes Mellitus: A Review

Dipeptidyl peptidase-4 inhibitors (DPP4Is) were introduced into the management of type 2 diabetes mellitus (T2DM) as they are insulinotropic and have no inherent risk of hypoglycemia and no effect on body weight. Currently, 11 drugs in this class are available for the management of diabetes. Although they have a similar mechanism of action, they differ from one other in their binding mechanisms, which influences their therapeutic and pharmacological profiles. Vildagliptin's overall safety and tolerability profile was comparable to placebo throughout clinical studies, and real-world data in a large group of T2DM patients corroborated this finding. Therefore, DPP4Is like vildagliptin is a secure alternative for treating patients with T2DM. Vildagliptin treatment given as a once-daily (QD) 100 mg sustained release (SR) formulation fits the criteria of adherence and compliance. This SR formulation, given once daily has the potential to provide glycemic control like the vildagliptin 50 mg twice-daily (BD) formulation. This comprehensive review discusses the journey of vildagliptin as 50 mg BD therapy as well as 100 mg SR QD therapy.
Mathematical Models of Triatomine (Re)infestation

3 Dedication . 5 Acknowledgments . 6 List of Tables . 10 List of Figures . 12 List of Acronyms . 13
Inverse Impact of Cancer Drugs on Circular and Linear RNAs in Breast Cancer Cell Lines

Altered expression of circular RNAs (circRNAs) has previously been investigated in breast cancer. However, little is known about the effects of drugs on their regulation and relationship with the cognate linear transcript (linRNA). We analyzed the dysregulation of both 12 cancer-related circRNAs and their linRNAs in two breast cancer cell lines undergoing various treatments. We selected 14 well-known anticancer agents affecting different cellular pathways and examined their impact. Upon drug exposure circRNA/linRNA expression ratios increased, as a result of the downregulation of linRNA and upregulation of circRNA within the same gene. In this study, we highlighted the relevance of identifying the drug-regulated circ/linRNAs according to their oncogenic or anticancer role. Interestingly, VRK1 and MAN1A2 were increased by several drugs in both cell lines. However, they display opposite effects, circ/linVRK1 favors apoptosis whereas circ/linMAN1A2 stimulates cell migration, and only XL765 did not alter the ratio of other dangerous circ/linRNAs in MCF-7. In MDA-MB-231 cells, AMG511 and GSK1070916 decreased circGFRA1, as a good response to drugs. Furthermore, some circRNAs might be associated with specific mutated pathways, such as the PI3K/AKT in MCF-7 cells with circ/linHIPK3 correlating to cancer progression and drug-resistance, or NHEJ DNA repair pathway in TP-53 mutated MDA-MB-231 cells.
Software Reliability Modeling

Summary Probability models and statistical methods are a popular technique for evaluating the reliability of computer software. This paper reviews the literature concerning these methods, with an emphasis on the historical perspective. The use of stochastic techniques is justified, and the various probability models that have been proposed, along with any associated statistical estimation and inference procedures, are described. Examples of the models applied to real software failure data are given. A classic software development problem-how long software should be tested before it is released into the marketplace-is analyzed from a decision theoretic standpoint. Finally, the direction of future research is contemplated.
Using a Bayesian model of the joint distribution of pain and time on medication to decide on pain medication for neuropathy

Abstract The PAIN-CONTRoLS trial compared four medications in treating Cryptogenic sensory polyneuropathy. The primary outcome was a utility function that combined two outcomes, patients’ pain score reduction and patients’ quit rate. However, additional analysis of the individual outcomes could also be leveraged to inform selecting an optimal medication for future patients. We demonstrate how joint modeling of longitudinal and time-to-event data from PAIN-CONTRoLS can be used to predict the effects of medication in a patient-specific manner and helps to make patient-focused decisions. A joint model was used to evaluate the two outcomes while accounting for the association between the longitudinal process and the time-to-event processes. Results suggested no significant association between the patients’ pain scores and time to the medication quit in the PAIN-CONTRoLS study, but the joint model still provided robust estimates and a better model fit. Using the model estimates, given patients’ baseline characteristics, a drug profile on both the pain reduction and medication time could be obtained for each drug, providing information on how likely they would quit and how much pain reduction they should expect. Our analysis suggested that drugs viable for one patient may not be beneficial for others.
Mitochondrial Aconitase Enzymatic Activity: A Potential Long-Term Survival Biomarker in the Blood of ALS Patients

Background: Amyotrophic lateral sclerosis (ALS) is a multisystemic, progressive, neurodegenerative disorder. Despite it being generally fatal within a period of 2–4 years, it is highly heterogeneous; as a result, survival periods may vary greatly among individual patients. Biomarkers can serve as tools for diagnosis, prognosis, indicators of therapeutic response, and future therapeutics. Free-radical-dependent mitochondrial damage is believed to play a crucial role in neurodegeneration in ALS. Mitochondrial aconitase, which is also known as aconitase 2 (Aco2), is a key Krebs cycle enzyme and is involved in the regulation of cellular metabolism and iron homeostasis. Aco2 is very sensitive to oxidative inactivation and can aggregate and accumulate in the mitochondrial matrix, causing mitochondrial dysfunction. Loss of Aco2 activity may therefore reflect increased levels of mitochondrial dysfunction due to oxidative damage and could be relevant to ALS pathogenesis. The aim of our study was to confirm changes in mitochondrial aconitase activity in peripheral blood and to determine whether such changes are dependent on, or independent of, the patient’s condition and to propose the feasibility of using them as possible valid biomarkers to quantify the progression of the disease and as a predictor of individual prognosis in ALS. Methods: We measured the Aco2 enzymatic activity in the platelets of blood samples taken from 22 controls and 26 ALS patients at different stages of disease development. We then correlated antioxidant activity with clinical and prognostic variables. Results: Aco2 activity was significantly lower in the 26 ALS patients than in the 22 controls (p < 0.05). Patients with higher levels of Aco2 activity survived longer than those with lower levels (p < 0.05). Aco2 activity was also higher in patients with earlier onset (p < 0.05) and in those with predominantly upper motor neuron signs. Conclusions: Aco2 activity seems to be an independent factor that could be used in the long-term survival prognosis of ALS. Our findings suggest that blood Aco2 could be a leading candidate for use as a biomarker to improve prognosis. More studies are needed to confirm these results.
Behavioural effects of noise on Linnaeus’s two-toed sloth (Choloepus didactylus) in a walk-through enclosure

Anthropogenic noise has been related to stress in captive animals; despite this there have been few studies on animal welfare assessment in walk-through zoo enclosures. We aimed to investigate the behavioural effects of noise on a male-female pair of two-toed sloths (Choloepus didactylus), housed in a walk-through enclosure in a zoo in the UK. The animals were filmed for 24 h per day, during three days per week, including days with potential low and high flow of visitors, for three weeks. Sound pressure measurement was performed four times each collection day (twice in the morning, once at noon and once in the afternoon), for 15 min per session, using a sound level meter. The number of visitors passing the enclosure during each session was also recorded. The videos were analysed using focal sampling, with continuous recording of behaviour. Correlations between noise and the behaviours expressed during, and in the 24 h after the acoustic recording, were investigated. The number of visitors correlated with the acoustic parameters. At the moment of exposure, higher levels of noise correlated with decreased inactivity, and longer expression of locomotion and maintenance behaviours for the male; the female spent more time inside a box in these moments. During the 24 h hours after exposure to loud noise, the female showed no behavioural changes while the male tended to reduce foraging. The behavioural changes observed in both individuals have already been reported in other species, in response to stressful events. Our study indicates the need for a good acoustic management in walk-through zoo enclosures where sloths are housed.
A Method for the Automatic Generation of 3D Models based on Artificial Intelligence

Introduction: Virtual Reality (VR) is a widespread technology to develop an interaction between humans and simulated environments for multiple purposes, ranging from gaming to advanced industrial applications. The need for a real-time response of VR systems imposes strict constraints on the virtual content, which is usually manually optimized. Building VR scenarios with thousands of 3D models makes this aspect crucial. However, the manual modeling of numerous items is time-consuming and includes significant issues, especially if the 3D models must replicate real objects in photorealistic quality. In this context, a indicative case study relates to the virtual simulation of entire commercial retail areas and their consumer goods to support marketing and management design. It is necessary that the 3D models replicating consumer goods have the same level of detail and fidelity as their physical counterparts. Such visually sophisticated models involve not only a certain complexity but also need to be frequently updated according to marketing needs. These needs make reducing the development time for a single virtual replica even more important [5].
Discovery and Characterisation of Forward Line Formations at Centre Bounces in the Australian Football League

The extent of player formation usage and the characteristics of player arrangements are not well understood in Australian football, unlike other team-based invasion sports. Using player location data from all centre bounces in the 2021 Australian Football League season; this study described the spatial characteristics and roles of players in the forward line. Summary metrics indicated that teams differed in how spread out their forward players were (deviation away from the goal-to-goal axis and convex hull area) but were similar with regard to the centroid of player locations. Cluster analysis, along with visual inspection of player densities, clearly showed the presence of different repeated structures or formations used by teams. Teams also differed in their choice of player role combinations in forward lines at centre bounces. New terminology was proposed to describe the characteristics of forward line formations used in professional Australian Football.
The recovery of analytic potentials for fourth-order differential equations

We present a new numerical method to solve the inverse spectral problem for the fourth-order differential operator based on the identification of the Taylor coefficients of an analytic solution. We show that an analytic potential can be recovered from the knowledge of four spectra and prove that convergence follows from the exponential growth of the solution. The solution is obtained by a sequential algorithm by which four Taylor coefficients of the potential are recovered explicitly at each iteration.
Spatial Distribution and Temporal Dynamics of Candidatus Liberibacter Asiaticus in Different Stages of Embryos, Nymphs and Adults of Diaphorina citri

Huanglongbing, a globally devastating citrus disease, is associated with Candidatus Liberibacter asiaticus (CLas) and is mainly transmitted by Diaphorina citri. Verification of the distribution and dynamics of CLas in D. citri is critical to understanding CLas transmitted by vectors in nature. Here, the distribution and titers of CLas in different sexes and tissues of D. citri adults were investigated by fluorescence in-situ hybridization (FISH) and quantitative real-time PCR (qRT-PCR). Results showed that CLas had widespread distribution in the brain, salivary glands, digestive system, and reproductive system of both females and males, indicating a systemic infection of CLas in D. citri. Moreover, CLas fluorescence intensity and titers were significantly increased in both the digestive system and the female reproductive system with development and there was a marked decreased in both the salivary glands and the male brain, but there was no significant change in the female brain or the male reproductive system. Furthermore, the distribution and dynamics of CLas in embryos and nymphs were investigated. CLas was observed in all laid eggs and subsequent first–second-instar nymphs, indicating that a high percentage of embryos and nymphs resulting from infected D. citri mothers were infected with CLas.
Radiative Heating for MSL Entry: Verification of Simulations from Ground Test to Flight Data

The heat shield of the Mars Science Laboratory (MSL) was equipped with thermocouple stacks to measure in-depth heating of the thermal protection system during atmospheric entry. The heat load derived from the thermocouples in the stagnation region was found to be 33% lower than corresponding post-flight predictions of convective heating alone. It was hypothesized that this difference could be attributed to radiation from the shock-heated gas, a mechanism not considered in pre-flight analyses of flow fields. In order to test the hypothesis and quantify the contribution of shock-layer radiation to total surface heating, ground tests and simulations (both flow and radiation) were performed at several points along the best-estimated entry trajectory of MSL. The present paper provides an assessment of the quality of the radiation model and its impact to stagnation point heating. The impact of radiative heating is shown to account for 43% of the heat load discrepancy. Additional possible factors behind the remaining discrepancy are discussed.
Sequential administration of PD‑1 inhibitor and cetuximab causes pneumonia

Severe drug-induced lung injury (DLI) has been reported to be associated with sequential administration of osimertinib, a third-generation tyrosine kinase inhibitor, following a programmed cell death ligand 1 (PD-L1) inhibitor. However, the relationship of sequential treatment with an anti-epidermal growth factor receptor (EGFR) antibody and PD-1 inhibitor with the risk of DLI remains to be elucidated. The present study conducted a retrospective review of the medical records of a total of 179 patients with head and neck cancer who had received treatment with cetuximab and/or a PD-1 inhibitor (nivolumab or pembrolizumab) at Chiba University Hospital (Chiba, Japan) between September 2014 and December 2020. The incidence of pneumonia and the clinical background characteristics of the patients were analyzed. The patients were classified into subgroups for analysis of the outcomes in this study: Patients who had received sequential, but not concurrent, cetuximab and PD-1 inhibitor treatment (Group C+P; n=43); patients who had received cetuximab-containing chemotherapy, but not a PD-1 inhibitor (Group C; n=101); and patients who had received PD-1 inhibitor-containing chemotherapy, but not cetuximab (Group P; n=35). The rates of DLI in the three groups were: Group C+P, 18.6%; Group C, 7.9%; and Group P, 11.4%. Prior use of ICI was not associated with any increase in the risk of DLI. DLI is seen frequently in patients receiving sequential PD-1 inhibitor and anti-EGFR antibody therapy.