Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of the effect of frequency of low-level laser therapy exposure at different intervals on orthodontic tooth movement – A systematic review and meta-analysis

OBJECTIVE: To assess the optimal intervals of exposure of low-level LASER therapy (LLLT) that would optimally accelerate orthodontic tooth movement. Second objective was to quantitatively analyze the difference in the time taken for alignment of anterior teeth with and without the application of LASER. MATERIALS AND METHODS: PROSPERO database registry was done (CRD42020196472) and review was conducted based on PRISMA guidelines. A search was systematically conducted in five major electronic databases without restrictions up to June 2020 along with a hand search of selected journals. The quality of evidence was assessed using the Grading of Recommended Assessment, Development, and Evaluation tool, risk of bias using Cochrane risk of bias tool, and meta-analysis was carried out using RevMan 5.4 software. RESULTS: Ten randomized controlled trials which met the inclusion criteria were evaluated and tabulated. A random-effects meta-analysis demonstrated that there is a statistically significant increase in the orthodontic tooth movement when patients were exposed to minimum of four intervals of LLLT in the first month, at P =0.03 by a standard mean difference of 0.46 mm with an overall heterogeneity of I2 = 0% at 95% confidence interval. There was a statistically highly significant reduction in the number of days taken for alignment of anterior teeth with the application of LASER (P < .00001). CONCLUSION: Application of LLLT for minimum of four irradiations in the first month has yielded better results in accelerating orthodontic tooth movement than application of LLLT once a month.
Factorial analysis of variables affecting bone stress adjacent to mini-implants used for molar distalization by direct anchorage—A finite element study

OBJECTIVE: The aim of this study was to investigate the stresses on mini-implant, cortical bone, and cancellous bone for maxillary molar distalization using an orthodontic implant in a finite element model for different angulations and depths of insertion. METHODS: A three-dimensional finite element method was used to simulate overall orthodontic tooth movements by using ANSYS software. The maxillary bone and the molars were reproduced using CT scan images and conversion of the same into STL file was done. Finite element model was generated and the effect of forces was studied on the model for different depths and angulations of mini-implant insertions. The distalization force was exerted by an open-coil spring and the direct skeletal anchorage was provided by a mini-implant. Mini-implants were placed in depths of 5 mm, 7 mm, and 9 mm inside the bone and insertion angles of 30°, 60°, and 90°. Stresses on mini-implant and extent of stress on the surrounding bone were assessed by the software. RESULTS: 1. Least stress was found when the mini-implant was inserted at an angle of 30°, as it is nearer to the stronger cortical bone. 2. As the length of the mini-implant increases, accompanied by the increase in the depth of insertion, a decrease in stress in the mini-implant, cortical bone, and cancellous bone was noticed. CONCLUSION: An increase in the insertion angle from 30° to 90° increases the stresses on both the implant and the cortical bone. A higher depth of thread in the bone helps in reducing the stress on the implant, cortical bone, and cancellous bone. This helps in improving the primary stability of the mini-implant and its life.
Force Identification of Mechanical Systems by Using Particle Swarm Optimization

This paper presents an inverse procedure for the determination of external loads, given the dynamic responses of the loaded structure and its corresponding finite element model. The influence of the stress-stiffening effect on the dynamic characteristics of structural systems is used to establish a relation between the dynamical responses and the applied external loading. An optimization problem is formulated in which the objective function represents the difference between the measured modal characteristics of the loaded structure and their FE counterparts. The loading parameters (magnitude, position and direction), assumed as being unknown, are considered as design variables. The identification procedure is illustrated by means of numerical simulations, in which the identification problem is solved by using the heuristic named Particle Swarm Optmization together with the Lagrange-Newton SQP (Sequential Quadratic Programming) method.
Time and customer processes in queues with stationary inputs

Two types of processes occurring in queues with stationary inputs are considered. They are called ‘time processes’ and ‘customer processes’. Sufficient conditions for the convergence of sample averages and the existence of limiting distributions for each type of processes are given. The results generalize those of Loynes (1962). The results are applied to three queueing processes and the Little's formula L = λW is obtained under rather general conditions.
Determining the Acceptance of Digital Cardiac Rehabilitation and Its Influencing Factors among Patients Affected by Cardiac Diseases

Background: Cardiac diseases are a major global health issue with an increasing prevalence of affected people. Rehabilitation following cardiac events is underutilized, despite its proven effectiveness. Digital interventions might present a useful addition to traditional cardiac rehabilitation. Aims: This study aims to assess the acceptance of mobile health (mHealth) cardiac rehabilitation and to investigate the underlying factors of acceptance in patients with ischemic heart disease and congestive heart failure. Methods: A cross-sectional study was conducted from November 2021 to September 2022 with N = 290 patients. Sociodemographic, medical, and eHealth-related data were assessed. The Unified Theory of Acceptance and Use of Technology (UTAUT) was applied. Group differences in acceptance were examined and a multiple hierarchical regression analysis was conducted. Results: The overall acceptance of mHealth cardiac rehabilitation was high (M = 4.05, SD = 0.93). Individuals with mental illness reported significantly higher acceptance (t(288) = 3.15, padj = 0.007, d = 0.43). Depressive symptoms (β = 0.34, p < 0.001); digital confidence (β = 0.19, p = 0.003); and the UTAUT predictors of performance expectancy (β = 0.34, p < 0.001), effort expectancy (β = 0.34, p < 0.001), and social influence (β = 0.26, p < 0.001) significantly predicted acceptance. The extended UTAUT model explained 69.5% of the variance in acceptance. Conclusions: As acceptance is associated with the actual use of mHealth, the high level of acceptance found in this study is a promising basis for the future implementation of innovative mHealth offers in cardiac rehabilitation.
The Epidemiology of Childhood Leukaemia

SUMMARY Leukaemias are of several types, the proportion attributable to each varying with age. The causes of most childhood leukaemias are unknown. A few are associated with genetic abnormalities and a few to chemotherapy given after birth. Many more are due to exposure to ionizing radiation with possibly 8 % attributable to exposure to natural radiation in utero. Clues to aetiology may be obtained from the age distribution of the disease and the variation in incidence with place, ethnicity, socioeconomic conditions and time; but much of the variation is likely to be a nosological artefact. The existence of clusters in space and time, which would point to the importance of environmental factors, has long been suspected but is unproved.
How am I doing? Using self-mentoring practices to improve a tenure-track faculty’s online instructional strategies

ABSTRACT Junior faculty members face pressure to excel in the threefold mission of their assignment (teaching, research, and service) because the tenure process is complex and requires one to balance many diverse and competing demands. This qualitative study analyzed the self-mentoring practices of a tenure-track faculty who strove to improve his instructional practices in online courses. The study used online surveys and collected data from 363 graduate students. The findings indicated that students appreciated the instructor’s instructional techniques for connecting with learners, creating classroom interaction, providing constructive feedback, and remaining approachable and caring. Given the stressful nature of untenured faculty’s challenges inherent to online graduate courses, this study suggests self-mentoring is an effective reflective practice for new faculty to enhance their instructional practices. The study further recommends the development of faculty social-emotional competencies, the promotion of faculty self-reflective practices, and the use of faculty self-designed mid-term evaluation for instructional improvement.
Using Brain Tumor MRI Structured Reporting to Quantify the Impact of Imaging on Brain Tumor Boards

Multidisciplinary tumor boards (TB) are an essential part of brain tumor care, but quantifying the impact of imaging on patient management is challenging due to treatment complexity and a lack of quantitative outcome measures. This work uses a structured reporting system for classifying brain tumor MRIs, the brain tumor reporting and data system (BT-RADS), in a TB setting to prospectively assess the impact of imaging review on patient management. Published criteria were used to prospectively assign three separate BT-RADS scores (an initial radiology report, secondary TB presenter review, and TB consensus) to brain MRIs reviewed at an adult brain TB. Clinical recommendations at TB were noted and management changes within 90 days after TB were determined by chart review. In total, 212 MRIs in 130 patients (median age = 57 years) were reviewed. Agreement was 82.2% between report and presenter, 79.0% between report and consensus, and 90.1% between presenter and consensus. Rates of management change increased with increasing BT-RADS scores (0—3.1%, 1a—0%, 1b—66.7%, 2—8.3%, 3a—38.5%, 3b—55.9, 3c—92.0%, and 4—95.6%). Of 184 (86.8%) cases with clinical follow-up within 90 days after the tumor board, 155 (84.2%) of the recommendations were implemented. Structured scoring of MRIs provides a quantitative way to assess rates of agreement interpretation alongside how often management changes are recommended and implemented in a TB setting.
Impact of Different Fertilizer Sources under Supplemental Irrigation and Rainfed Conditions on Eco-Physiological Responses and Yield Characteristics of Dragon’s Head (Lallemantia iberica)

The effects of the irrigation regime and different fertilizer sources on the eco-physiological responses and yield characteristics of dragon’s head were explored in a factorial experiment based on a randomized complete block design with 12 treatments and 3 replications in the 2019 growing season. The treatments included six different fertilizer sources (animal manure, vermicompost, poultry manure, biofertilizer, chemical fertilizer, and control) and two irrigation regimes (rainfed and supplemental irrigation). The results indicated the positive effects of supplementary irrigation and the application of vermicompost, poultry manure, and animal manure by increasing the absorption of nutrients (phosphorus and potassium) and improving relative water contents, chlorophyll and carotenoid contents, and the fixed oil percentage of dragon’s head. The activities of catalase, ascorbate peroxidase, and superoxide dismutase decreased in the rainfed plants, whereas organic fertilizer application increased the antioxidant enzyme activity. The highest grain yield (721 kg ha−1), biological yield (5858 kg ha−1), total flavonoids (1.47 mg g−1 DW), total phenol (27.90 mg g−1 DW), fixed oil yield (200.17 kg ha−1), and essential oil yield (1.18 kg ha−1) were noted in plants that were treated with vermicompost under supplemental irrigation. Therefore, it is recommended that organic fertilizers such as vermicompost and poultry manure be used to substitute chemical fertilizers. These practices can help popularize organic crops using rainfed and supplementary irrigation.
Sudden cardiac arrest in a patient with malignant mitral valve prolapse with CACNB2 gene mutation: a simple coincidence or coexistence?—a case report

Abstract Background Despite recent advances in cardiology, sudden cardiac death remains to be a significant challenge, and the precise cause for a large proportion of sudden cardiac arrests remains unclear. Case summary A 48-year-old fit and healthy medical personnel with no previous medical illness suffered from ventricular fibrillation at his workplace and was successfully resuscitated. Although the basal electrocardiogram did not show a Brugada pattern, we identified mutations in the CACNB2 genes (Chr10: 18150879 and Chr10: 18539538 variants), which are pathogenic variants linked to the Brugada syndrome. A transthoracic echocardiogram and cardiac magnetic resonance revealed mitral valve prolapse (MVP) with characteristics of Barlow’s disease, as well as malignant MVP features such as the presence of bileaflet prolapse, mitral annular disjunction, and inferior and inferolateral left ventricular wall fibrosis. Discussion To the best of our knowledge, this is the first case report on sudden cardiac arrest in a patient with malignant MVP with a CACNB2 gene mutation. This study highlights the merit for further research to establish standardized criteria for the diagnosis of malignant MVP, for the primary prevention of sudden cardiac death. Cardiac MR should also be part of the diagnostic evaluation of MVP to allow for the early detection of arrhythmogenic features, especially left ventricular fibrosis. We also suggest that the utility of genetic testing should be complementary to the current diagnostic tools for unexplained cardiac arrest and patients with MVP. This would help to better understand the genetic basis between these two conditions for better risk stratification and early cardiac intervention.
Comparing Factors Influencing Fertility Desire Among Urban and Rural Families Referring to Healthcare Centers in Ferdows, Iran, in 2020

Background and aims: Fertility is among the major components of the population, the reduction of which can cause irreparable socioeconomic damage to the country. Unfortunately, the fertility rate is declining, and it is lower than the critical level in Iran. Therefore, this study aimed to investigate the factors influencing fertility desire in order to reveal more aspects of this issue. Methods: This descriptive-analytical study included all the rural and urban families referring to healthcare centers in Ferdows, Iran, in 2020. The participants were selected using a multi-stage sampling method. Finally, 400 married men and women referring to the centers were assessed by the fertility desire scale (FDS). The data were analyzed using descriptive statistics as well as the Mann-Whitney and Spearman tests by SPSS 19.0. Results: In this study, 81.2% of the participants were female, 52.5% of who aged 25-35 years old. The mean scores of fertility desire among urban and rural households were 66.69±9.61 and 65.06±9.08, respectively (P=0.03). In all dimensions of the questionnaire except for childbearing worries, significant differences were observed between urban and rural households. These dimensions included positive childbearing motivations (P=0.05), social beliefs (P=0.04), and preferences (P=0.004). Conclusion: The results obtained from this study can be used in population policies in order to build culture, support parents, and increase childbearing desire, especially in rural areas.
Loss analysis of a model transformer winding

In the paper we present an analysis of AC losses in windings of a 14 kVA superconducting transformer with Bi-2223/Ag winding. AC losses of individual pancake coils of the secondary winding were measured. Discussion of the meaning of AC loss measurements in individual pancakes is presented. Measurement of loss in short samples (critical current in external magnetic field, transport current losses) was done and the results were compared with losses in the winding under operating conditions using available published data. An effect of temperature on winding losses was also studied.
Ranking Plant Network Nodes Based on Their Centrality Measures

Biological networks are often large and complex, making it difficult to accurately identify the most important nodes. Node prioritization algorithms are used to identify the most influential nodes in a biological network by considering their relationships with other nodes. These algorithms can help us understand the functioning of the network and the role of individual nodes. We developed CentralityCosDist, an algorithm that ranks nodes based on a combination of centrality measures and seed nodes. We applied this and four other algorithms to protein–protein interactions and co-expression patterns in Arabidopsis thaliana using pathogen effector targets as seed nodes. The accuracy of the algorithms was evaluated through functional enrichment analysis of the top 10 nodes identified by each algorithm. Most enriched terms were similar across algorithms, except for DIAMOnD. CentralityCosDist identified more plant–pathogen interactions and related functions and pathways compared to the other algorithms.
Bio-economic evaluation of maize + urdbean/mungbean intercropping systems under rainfed conditions of central Uttar Pradesh

A field experiment was carried out for two consecutive kharif seasons of 2002 and 2003 at Kanpur to find out the most productive, biologically efficient and economically viable intercropping system of maize (Zea mays) with urdbean [Vigna mungo (L.) Hepper] or mungbean [Vigna radiata (L.) Wilczek] alone or in combinations under rainfed conditions of central Uttar Pradesh. All the intercropping combinations significantly improved the yield of maize compared to its sole cropping. Uniform row planting recorded the highest yield of maize as well as production efficiency over paired row planting. Among intercropping systems, treatments having mungbean as intercrop registered higher yield of maize as well as total productivity. Maize in uniform rows with intercrop mungbean under 1:2 row ratio gave the highest maize-equivalent yield (5314 kg/ha) and production efficiency (60.39 kg/ha/day). Intercropping of two rows of both urdbean and mungbean with maize in uniform rows under 1:2 row ratio proved advantageous with higher land equivalent ratio (LER), land equivalent coefficient (LEC) and area-time equivalent ratio (ATER). Maize in uniform row + mungbean in 1:2 row ratio was the most productive and remunerative intercropping system with the highest maize-equivalent yield (5314 kg/ha), net returns (Rs. 12935/ha), benefit: cost ratio (1.72) and LER (1.91) followed by maize in uniform row + urdbean in 1:2 row ratio.
Primary pulmonary intravascular large B‑cell lymphoma misdiagnosed as pneumonia: Four case reports and a literature review

Primary pulmonary intravascular large B-cell lymphoma (IVLBCL) is a rare, malignant extranodal lymphoma. It is difficult to diagnose clinically as it requires a combination of clinical and computed tomography (CT) evaluations, as well as laboratory and pathological examinations. In the present study, 4 cases of primary pulmonary IVLBCL were reviewed. The patients' ages ranged from 60 to 69 years old. Of the 4 patients, 3 developed progressive dyspnea on exertion and intermittent fever. Other symptoms included coughing, chest tightness and weight loss. Laboratory data indicated that all patients had anemia, thrombocytopenia, hypoxemia, a markedly high serum lactate dehydrogenase level, elevated erythrocyte sedimentation rate and increased C-reactive protein. CT demonstrated increased attenuation in bilateral lung parenchyma, especially in the upper lobes, with multiple ground-glass opacities associated with small nodules in these patients. Initially, all 4 patients were misdiagnosed with pneumonia. However, none of them responded to anti-inflammatory treatments. The pathologies of all patients were confirmed using lung biopsy. Only 1 patient received regular combination chemotherapy. Based on the observations of the present study, a standard regimen for lymphoma treatment may result in a notable clinical response.
Persistent Immunity against SARS-CoV-2 in Individuals with Oncohematological Diseases Who Underwent Autologous or Allogeneic Stem Cell Transplantation after Vaccination

Simple Summary Individuals with hematological diseases are particularly susceptible to COVID-19, and their vaccination has been a priority since the beginning of the pandemic. However, due to the disease itself or the treatment they receive, the protection achieved after vaccination may not be protected from severe forms of COVID-19. In this study, we analyzed the characteristics of the immune response developed by individuals with hematological cancer who received a stem cell transplant to overcome their disease after receiving the full vaccination schedule. All participants showed reduced levels of antibodies in plasma, but the cellular response of individuals with an autologous transplant was very similar to healthy donors, while it was severely impaired in individuals who received the transplant from other individuals (allogeneic). Interestingly, the transplant did not affect the immune response against SARS-CoV-2, and most infections reported after the transplant were mild, proving that some level of protection was preserved after the transplant. Abstract The high morbimortality due to SARS-CoV-2 infection in oncohematological diseases (OHD) and hematopoietic stem cell transplant (HSCT) recipients in the pre-vaccine era has made vaccination a priority in this group. After HSCT, the immune responses against common vaccines such as tetanus, varicella, rubella, and polio may be lost. However, the loss of immunity developed by COVID-19 vaccination after HSCT has not been completely defined. In this study, both humoral and cellular immunity against SARS-CoV-2 were analyzed in 29 individuals with OHD who were vaccinated before receiving allogeneic (n = 11) or autologous (n = 18) HSCT. All participants had low but protective levels of neutralizing IgGs against SARS-CoV-2 after HSCT despite B-cell lymphopenia and immaturity. Although antibody-dependent cellular cytotoxicity was impaired, direct cellular cytotoxicity was similar to healthy donors in participants with autologous-HSCT, in contrast to individuals with allogeneic–HSCT, which severely deteriorated. No significant changes were observed in the immune response before and after HSCT. During follow-up, all reported post-HSCT SARS-CoV-2 infections were mild. This data emphasizes that COVID-19 vaccination is effective, necessary, and safe for individuals with OHD and also supports the persistence of some degree of immune protection after HSCT, at least in the short term, when patients cannot yet be revaccinated.