Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel approach to antiangiogenic factors in age-related macular degeneration therapy

Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss among the population above 85 worldwide. There are two main types of AMD: neovascular and dry AMD. Neovascular AMD leads to macular changes resulting from abnormal choroidal neovascularization. Untreated neovascular AMD leads to scar formation and irreversible sight deterioration. Dry AMD in consequence leads to atrophic changes of the macula. The last decades brought a breakthrough in the therapy of neovascular age-related macular degeneration by introduction of, firstly, photodynamic therapy and, later, anti-VEGF agents administered intravitreally in order to stop neoangiogenesis. However, the treatment of dry AMD is still challenging. Among the directions in dry AMD treatment, the most promising are complement cascade inhibitors and complement cascade targeted gene therapy. In the article we outline the main directions in up-to-date experimental and practical approaches to wet and dry AMD therapy with the emphasis on antiangiogenic factors and gene therapy focused on the inhibition of pathological angiogenesis.
Discrete Maximum Principle and Energy Stability of the Compact Difference Scheme for Two-Dimensional Allen-Cahn Equation

The Allen-Cahn model is discussed mainly in the phase field simulation. The compact difference method will be used to numerically approximate the two-dimensional nonlinear Allen-Cahn equation with initial and boundary value conditions, and then, a fully discrete compact difference scheme with second-order accuracy in time and fourth-order in space is established. And its numerical solution satisfies the discrete maximum principle under the constraints of reasonable space and time steps. On this basis, the energy stability of the scheme is investigated. Finally, numerical examples are given to illustrate the theoretical results.
Numerical Analysis of Electric Field of 1100kV Disconnector in GIS

In order to understand the electric-field intensity(EFI) distribution within chamber of disconnector in GIS on extra high voltage(EHV),the three-dimensional electrostatic field mathematical model of two typical 1100kV GIS disconnector chambers was established.Based on the numerical analysis of electric field,the finite element method was adopted to calculate EFI within disconnector chamber.The calculation results show that the earthing switch contact gap is the focus region of EFI,and the reasonable size of the structure design of basin-insulator can effectively improve the regional distribution of electric field on the surface of electrode shield covers.By comparing the distributed results of EFI in two types of disconnector chambers,which are obtained in the corresponding region,the maximum EFI and the distribution of electric field are slightly different and have some certain insulation margin.Under the limited computer resources,the precision calculation of three-dimensional electromagnetic field and the analysis results of EFI are got,which provide a theoretical basis for further optimizing the design of whole and internal structure of EHV disconnector chamber.
Diagnosis of myelodysplastic syndromes in Poland: Polish Adult Leukemia Group (PALG) 2021 recommendations

Myelodysplastic syndromes (MDS) are a heterogeneous group of neoplastic diseases of the hematopoietic cells manifested by ineffective hematopoiesis and a tendency to transform into acute myeloid leukemia. MDS should be considered in the differential diagnosis of cytopenia, especially in the elderly. This article presents the recommendations of MDS experts of the Polish Adult Leukemia Group (PALG) for the diagnosis of myelodysplastic syndromes. We present current classifications and prognostic indices, as well as diagnostic examinations recommended for MDS: cytological, histopathological, immunophenotypic, cytogenetic and molecular tests. The aim of the study is to imple-ment up-to-date knowledge about myelodysplastic syndromes into routine clinical practice, from the diagnosis of cytopenia to the specific diagnosis and prognosis in MDS patients.
Promoting Exercise Training Remotely

There has been increased incentivization to develop remote exercise training programs for those living with chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD). Remote programs offer patients an opportunity to overcome barriers to accessing traditional in-person programs, such as pulmonary rehabilitation (PR). Methods to deliver exercise training remotely range in complexity and types of technological modalities, including phone calls, real-time video conferencing, web- and app-based platforms, video games, and virtual reality (VR). There are a number of studies demonstrating the effectiveness of these programs on exercise capacity, dyspnea, and health-related quality of life (HRQL). However, there is great variation in these programs, making it difficult to assess findings across studies. Other aspects that contribute to the effectiveness of these programs include stakeholder perceptions, such as motivation and willingness to engage, and adherence. Finally, while the intent of these remote programs is to overcome barriers to access, they may inadvertently exacerbate access disparities. Future program development efforts should focus on standardizing how remote exercise training is delivered, engaging stakeholders early on to develop patient-centered programs that patients will want to use, and understanding the heterogeneous preferences and needs of those living with chronic respiratory disease in order to facilitate engagement with these programs.
Efektivitas skor Latch sebagai alat penilaian menyusui: scoping review

Penelitian ini bertujuan untuk mengetahui efektifitas dan kelemahan skor LATCH sebagai alat penilaian pemberian ASI. Metode penelitian dengan menggunakan lima langkah untuk tinjauan pelingkupan digunakan dalam tinjauan ini. Temuan dalam penelitian ini adalah skor LATCH digunakan secara efektif sebagai alat penilaian menyusui. Skor LATCH dapat menilai tentang perlekatan, suara menelan, bentuk puting susu, tingkat kenyamanan ibu, posisi bayi dan dapat memprediksi lamanya menyusui.
Application of RBF Neural Network to the Cost Prediction of Solid Rocket Motor

The neural network technique has already been used in all kinds of industry control department,and the RBF neural network is improved on the base of the general BP neural network.In this paper the RBF neural network is applied to predict the cost of the solid rocket motor.Firstly,making use of the cost information to train the neural network,which make the estimate error to the existent information less than the specified value.Then it is used in cost prediction under other conditions.It is showed as a result that the actual estimate result is more ideal,and it provides a kind of new cost prediction method for the solid rocket motor.
A grounded electrode beneath dielectric targets, including cancer cells, enhances the impact of cold atmospheric plasma jet

The effect of the presence or absence of a grounded substrate beneath dielectric targets, including cancer cells, during exposure to the cold atmospheric plasma jet is studied in the experiments and in fluid model simulations for the discharge parameters typical for the medical applications. It is shown that the dynamics of streamers generated in each positive cycle of ac voltage depends on the grounded substrate position. The streamers approach the target more often if the grounded substrate is beneath the target, that provides more intensive plasma-target interaction. In this case, the measured spectrum of plasma jet emission near the target demonstrates much higher intensity compared to an electrically isolated target case. The calculated and measured discharge currents with time demonstrate a mismatch of frequencies of the ac voltage and current over the target. The viability of A431 human skin carcinoma and MX7 mouse rhabdomyosarcoma cells treated by cold atmospheric plasma jet with/without the grounded substrate is measured with MTT assay 24 h after. The results show an enhanced suppression of the cell viability when using the grounded substrate for both cell lines. Achieving effective death of tumor cells with a shorter irradiation time can be considered an advantage of using a grounded electrode beneath the bio target.
An Optimized Coil Array and Passivity-Based Control for Receiving Side Multilevel Connected DC-DC Converter of Dynamic Wireless Charging

Dynamic wireless charging (DWC) is one of the most promising and economical power supply solutions for electric vehicles (EVs), which can address range anxiety and downsize the volume of onboard batteries. To solve the null power phenomenon and transfer power pulsation phenomenon in DWC scheme, this paper proposes a new magnetic coupler array to implement continuous charging and reduce the output power variation. The transmitters are placed with a proper interval to eliminate the adjacent coupling and enlarge the coil array’s effective length. ANSYS Maxwell is utilized to demonstrate the finite element analysis (FEA) of the DWC system. A larger receiver coil is designed to significantly mitigate power pulsation and increase the magnetic coupling as the receiver moves along the array. With the well-designed receiver coil, the output power pulsation is <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 1.52<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula>. For the high-power capacity scenario, a multilevel connected DC-DC converter is designed on the receiver side to regulate the transfer power. Besides, a passivity-based control (PBC) is developed for the receiving DC-DC converter based on the Euler-Lagrange (EL) model, and a current sharing compensator is employed to balance each phase inductor current. Finally, a 500-<inline-formula><tex-math notation="LaTeX">$\text{W}$</tex-math></inline-formula> prototype is constructed, and experimental results are represented to validate the proposed optimized coil array and the proposed PBC method.
Semantic overlap protects from interference by restoring encoding mechanisms

Overlap between experiences can have both facilitative and detrimental effects for memory. Our aim was to establish whether overlap along one dimension (e.g. contextual, semantic, temporal) can counteract overlap-driven interference along another dimension. We hypothesized that semantic overlap facilitates episodic memory formation by modulating encoding mechanisms. We recorded scalp electroencephalography (EEG) while human participants performed a free recall task. Half of the items from late in each study list semantically overlapped with an item presented earlier in the list. We find that semantic overlap selectively improves memory and influences the neural signals engaged during the study of late list items. Relative to other recalled items, late list items that are later recalled consecutively with semantically overlapping items elicited increased high frequency activity and decreased low frequency activity, a hallmark of successful encoding. Our findings demonstrate that semantic overlap can protect from interference due to temporal overlap by modulating encoding mechanisms. Statement of Relevanc Experiences can overlap along different dimensions, including contextual, semantic, and tempo-ral. We tested the hypothesis that semantic overlap – shared meaning between experiences – may protect from interference due to temporal overlap, when experiences occur close together in time. Although evidence suggests that attention and/or encoding resources diminish across a series of study items presented in close temporal proximity, we find that semantic overlap can enable recovery of these encoding resources. Specifically, items that would typically be forgotten due to interference are better remembered and recruit distinct neural mechanisms when they share meaning with an earlier study item. These findings indicate that encoding mechanisms can be modulated by the degree of semantic overlap between two experiences. More broadly, our results suggest that experiences do not exist in isolation, rather that a prior experience can directly influence the neural mechanisms recruited to process a current experience.
A Pilot Feasibility Study of Reconnecting to Internal Sensations and Experiences (RISE), a Mindfulness-Informed Intervention to Reduce Interoceptive Dysfunction and Suicidal Ideation, among University Students in India

Although 20% of the world’s suicides occur in India, suicide prevention efforts in India are lagging (Vijayakumar et al., 2021). Identification of risk factors for suicide in India, as well as the development of accessible interventions to treat these risk factors, could help reduce suicide in India. Interoceptive dysfunction—or an inability to recognize internal sensations in the body—has emerged as a robust correlate of suicidality among studies conducted in the United States. Additionally, a mindfulness-informed intervention designed to reduce interoceptive dysfunction, and thereby suicidality, has yielded promising initial effects in pilot testing (Smith et al., 2021). The current studies sought to replicate these findings in an Indian context. Study 1 (n = 276) found that specific aspects of interoceptive dysfunction were related to current, past, and future likelihood of suicidal ideation. Study 2 (n = 40) was a small, uncontrolled pre-post online pilot of the intervention, Reconnecting to Internal Sensations and Experiences (RISE). The intervention was rated as highly acceptable and demonstrated good retention. Additionally, the intervention was associated with improvements in certain aspects of interoceptive dysfunction and reductions in suicidal ideation and eating pathology. These preliminary results suggest further testing of the intervention among Indian samples is warranted.
Individualization of Pinus radiata Canopy from 3D UAV Dense Point Clouds Using Color Vegetation Indices

The location of trees and the individualization of their canopies are important parameters to estimate diameter, height, and biomass, among other variables. The very high spatial resolution of UAV imagery supports these processes. A dense 3D point cloud is generated from RGB UAV images, which is used to obtain a digital elevation model (DEM). From this DEM, a canopy height model (CHM) is derived for individual tree identification. Although the results are satisfactory, the quality of this detection is reduced if the working area has a high density of vegetation. The objective of this study was to evaluate the use of color vegetation indices (CVI) in canopy individualization processes of Pinus radiata. UAV flights were carried out, and a 3D dense point cloud and an orthomosaic were obtained. Then, a CVI was applied to 3D point cloud to differentiate between vegetation and nonvegetation classes to obtain a DEM and a CHM. Subsequently, an automatic crown identification procedure was applied to the CHM. The results were evaluated by contrasting them with results of manual individual tree identification on the UAV orthomosaic and those obtained by applying a progressive triangulated irregular network to the 3D point cloud. The results obtained indicate that the color information of 3D point clouds is an alternative to support individualizing trees under conditions of high-density vegetation.
A preliminary fMRI study of relative clause in comprehension among native and non-native Malay language speakers

This study investigates (a) whether there is a functional neural activation at the frontal and temporal brain regions during the comprehension of Malay relative clause (RC), and (b) the differences in the activated areas among native (L1) and non-native (L2) Malay language speakers. The subject relative clause (SRC), object relative clause (ORC), and subject-verb-object (SVO) were used as the study stimuli. Participants were asked to do a sentence-picture matching task during an fMRI measurement. The random-effect analysis (RFX) using two-way ANOVA was conducted for the fMRI data. The main effect of the group at the puncorrected < 0.001, cluster size > 20 voxels found that the comprehension of Malay relative clauses had activated frontal and temporal brain regions in L1 and L2. The multiple comparisons of L1>L2 showed a significant difference left-lateralised in the temporo-parietal region. While for L2>L1, the significant activations were indicated as distributed to the frontal, temporal, parietal, and occipital regions that lateralised to the right hemisphere. Conclusions: The findings suggested that the comprehension of Malay relative clauses had caused the activation at different brain regions amongst L1 and L2 groups. It was also found that both L1 and L2 groups showed their preference in SRC, the mean reaction time showed that they had a faster reaction time to comprehend SRC than ORC. The findings from this study can also be applied in clinical language intervention, and it is expected to benefit children and adults with speech and language disorders.
Integrating Behavioral Science and Design Thinking to Develop Mobile Health Interventions: Systematic Scoping Review

Background Mobile health (mHealth) interventions are increasingly being designed to facilitate health-related behavior change. Integrating insights from behavioral science and design science can help support the development of more effective mHealth interventions. Behavioral Design (BD) and Design Thinking (DT) have emerged as best practice approaches in their respective fields. Until now, little work has been done to examine how BD and DT can be integrated throughout the mHealth design process. Objective The aim of this scoping review was to map the evidence on how insights from BD and DT can be integrated to guide the design of mHealth interventions. The following questions were addressed: (1) what are the main characteristics of studies that integrate BD and DT during the mHealth design process? (2) what theories, models, and frameworks do design teams use during the mHealth design process? (3) what methods do design teams use to integrate BD and DT during the mHealth design process? and (4) what are key design challenges, implementation considerations, and future directions for integrating BD and DT during mHealth design? Methods This review followed the Joanna Briggs Institute reviewer manual and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. Studies were identified from MEDLINE, PsycINFO, Embase, CINAHL, and JMIR by using search terms related to mHealth, BD, and DT. Included studies had to clearly describe their mHealth design process and how behavior change theories, models, frameworks, or techniques were incorporated. Two independent reviewers screened the studies for inclusion and completed the data extraction. A descriptive analysis was conducted. Results A total of 75 papers met the inclusion criteria. All studies were published between 2012 and 2021. Studies integrated BD and DT in notable ways, which can be referred to as “Behavioral Design Thinking. ” Five steps were followed in Behavioral Design Thinking: (1) empathize with users and their behavior change needs, (2) define user and behavior change requirements, (3) ideate user-centered features and behavior change content, (4) prototype a user-centered solution that supports behavior change, and (5) test the solution against users’ needs and for its behavior change potential. The key challenges experienced during mHealth design included meaningfully engaging patient and public partners in the design process, translating evidence-based behavior change techniques into actual mHealth features, and planning for how to integrate the mHealth intervention into existing clinical systems. Conclusions Best practices from BD and DT can be integrated throughout the mHealth design process to ensure that mHealth interventions are purposefully developed to effectively engage users. Although this scoping review clarified how insights from BD and DT can be integrated during mHealth design, future research is needed to identify the most effective design approaches.
Modelling of Cointegration with Student's T-errors

Two or more non-stationary time series are said to be co-integrated if a certain linear combination of them becomes stationary. Identification of co-integrating relationships among the relevant time series help s the researchers to develop efficient forecasting methods. The classical approach of analyzing such series is to express the co-integrating time series in the form of error correction models with Gaussian errors. However, the modeling and analysis of cointegration in the presence of non-normal errors needs to be developed as most of the real time series in the field of finance and economics deviates from the assumption of normality. This paper focuses on modeling of a bivariate cointegration with a student’s-t distributed error. The co-integrating vector obtained from the error correction equation is estimated using the method of maximum likelihood. A unit root test of first order non stationary process with student’s t-errors is also defined. The resulting estimators are used to construct test procedures for testing the unit root and cointegration associated with two time series. The likelihood equations are all solved using numerical approaches because the estimating equations do not have an explicit solution. A simulation study is carried out to illustrate the finite sample properties of the model. The simulation experiments show that the estimates perform reasonably well. The applicability of the model is illustrated by analyzing the data on time series of Bombay stock exchange indices and crude oil prices and found that the proposed model is a good fit for the data sets.
A Review on Internal Resorption

Tooth Resorption is classified majorly into internal and external resorption as given by Andreason. The lesion puts the dentist in a predicament for treatment of the lesion, as it is often discovered accidentally, decreasing the prognosis as it is found later. Since the lesion usually affects the esthetically important region, it places the dentist in a quandary on what to do. Various factors affecting the pathophysiology of the lesion are the inflammatory process, stimulation of clastic cells. The etiology for the lesion is trauma in the majority of the cases. However, it may also be caused by excessive heat production during cavity preparation and in untreated carious lesions. Clinically it appears to be typically asymptomatic, although when it is actively progressing, the lesion shows symptoms of pulpitis as it mainly occurs due to chronic inflammation of the pulp. Histopathologically the lesion shows connective tissue of pulp which is inflamed and infiltrated by neutrophils, lymphocytes, plasma cells, and macrophages. The granulation tissue dominates the lesion. Radiographically the lesion occurs as oval to round radiolucency in the crown. The treatment performed is root canal treatment (RCT), as terminating the progressing resorptive process is the goal, and by doing so, further damage to the tooth can be prevented. Internal resorption will result in loss of tooth unless it is treated.