Miracle-dz/UniFAR-FTUs huggingface dataset:
Vaccine hesitancy and post-vaccination adherence to safety measures: A mixed-method study

Background Despite being recognized as one of the most successful public health measures, vaccination is still considered to be unnecessary and unreliable in the context of the COVID-19 pandemic. The current study utilized a two-pronged approach in analyzing vaccine hesitancy and health behaviors after vaccination by employing a mixed-method design. Phase 1 was aimed at identifying predictors of COVID-19 vaccine hesitancy and acceptance among the Pakistani population using protection motivation theory (PMT), whereas Phase 2 was aimed at exploring the factors related to the vaccination of COVID-19. Method A convenient sample of 1,736 individuals from the vaccine-eligible population (12 years and above) was selected to collect data on vaccine hesitancy and acceptance (Phase 1). Phase 2 of the study explored post-vaccination health behaviors, especially adherence to safety measures for COVID-19, through 23 in-depth interviews with the vaccinated population. Results Multiple regression analyses showed that response cost is a major predictor of vaccine hesitancy (in Phase 1). In terms of the role of demographic variables, the results showed that being male (for severity: B = −0.481; threat appraisal: B = −0.737), old age (B = −0.044), not vaccinated, and not infected with COVID-19 (themselves and family members) are strongly associated with vaccination hesitancy. Results of thematic analysis in Phase 2 revealed that perceived individual experience and insensitivity toward the severity of the disease are strongly associated with a lack of adherence to safety measures of COVID-19. Faith and religious beliefs and reliance on traditional remedies are also key predictors of people's general non-compliance to health behaviors. One interesting aspect that was revealed in the analysis was the general financially and socially destabilized situation in the context of developing countries that contributed to general apathy in the pandemic situation. Conclusion The findings of the current study may help in devising a health model for the public from the developing world to deal with future pandemic situations.
Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning

Background A deep learning (DL) model based on representative biopsy tissues can predict the recurrence and overall survival of patients with glioma, leading to optimized personalized medicine. This research aimed to develop a DL model based on hematoxylin-eosin (HE) stained pathological images and verify its diagnostic accuracy. Methods Our study retrospectively collected 162 patients with glioma and randomly divided them into a training set (n = 113) and a validation set (n = 49) to build a DL model. The HE-stained slide was segmented into a size of 180 × 180 pixels without overlapping. The patch-level features were extracted by the pre-trained ResNet50 to predict the recurrence and overall survival. Additionally, a light-strategy was introduced where low-size digital biopsy images with clinical information were inputted into the DL model to ensure minimum memory occupation. Results Our study extracted 512 histopathological features from the HE-stained slides of each glioma patient. We identified 36 and 18 features as significantly related to disease-free survival (DFS) and overall survival (OS), respectively, (P < 0.05) using the univariate Cox proportional-hazards model. Pathomics signature showed a C-index of 0.630 and 0.652 for DFS and OS prediction, respectively. The time-dependent receiver operating characteristic (ROC) curves, along with nomograms, were used to assess the diagnostic accuracy at a fixed time point. In the validation set (n = 49), the area under the curve (AUC) in the 1- and 2-year DFS was 0.955 and 0.904, respectively, and the 2-, 3-, and 5-year OS were 0.969, 0.955, and 0.960, respectively. We stratified the patients into low- and high-risk groups using the median hazard score (0.083 for DFS and−0.177 for OS) and showed significant differences between these groups (P < 0.001). Conclusion Our results demonstrated that the DL model based on the HE-stained slides showed the predictability of recurrence and survival in patients with glioma. The results can be used to assist oncologists in selecting the optimal treatment strategy in clinical practice.
Treatment of Transport at the Interface Between Multilayers via the Lattice Boltzmann Method

The lattice Boltzmann method (LBM) has reached maturity in many aspects for modeling incompressible, laminar flow and heat and mass transfer. However, many issues still need to be clarified. One of those is how to deal with Neumann boundary conditions (heat, momentum, and mass fluxes) at the interface between layers of different thermophysical properties, which is the topic of this work. In this work, we try to illustrate modeling of transient and steady-state heat transfer through multilayers, ensuring continuity of the flux, temperature, momentum, velocity, or species concentration at the interface, which is not a trivial issue in any of the numerical methods. Satisfying continuity conditions at the interface using the LBM needs special treatment, because the relaxation time depends on the thermophysical properties. In this work, methods to solve this issue are introduced for solving 1-D and 2-D, unsteady heat diffusion problems However, the methods can be equally applied for multilayer immiscible fluid flow and mass transfer problems. The predictions of the LBM are compared with those of the finite-volume method (FVM).
Thirty synchronous medullary and papillary thyroid carcinomas

Synopsis for table of contents An exceptional number of synchronous MTC/PTC in the same thyroid gland is presented. This may be the most numerous case series reported in the literature. Synchronous PTC/MTC in the same thyroid gland were classified into 4 subtypes and the clinical and pathological aspects as well as the results are presented. Background and objectives The synchronous occurrence of multiple neoplastic processes in the thyroid gland is unusual. We investigated the clinicopathological features of 30 medullary thyroid carcinomas (MTC) in association with papillary (PTC). Method Retrospective analysis of operated patients for thyroid tumors. Synchronous PTC/MTC in the same thyroid gland were classified into 4 subtypes: (type I) True mixed MTC/PTC, MTC and PTC closely intermingled. (Type II) Collision MTC/PTC, i.e. tumors that meet at the same site, invade each other and appear as a single mass in the thyroid gland, i.e. MTC and PTC merge. (Type III) Synchronous anatomically separate tumors in the same thyroid lobe, i.e. separated from each other by non-tumorous thyroid parenchyma. (Type IV) Synchronous tumors occurring in separate anatomical lobes or in the isthmus. Clinical and pathological data were reviewed. Location: Department of thyroid surgery, China-Japan Union Hospital, Jilin University. Time frame: 14 years (June 2008-November 2022). Results Thirty patients were identified with an overall prevalence of 28621 (0.1%). 17 (56.7%) were male, 13 (43.3%) female, mean age 51.3 ± 11.0 years, mean BMI 23.6 ± 3.6kg/m2. Mean duration of symptoms was 11.2 ± 18.4 months. Mean calcitonin level was 133.7 ± 196.4 pg/ml. Fine needle aspiration (FNA) was offered in 21 cases: 9 (42.9%) were suspected carcinoma, 9 (42.9%) PTC, 1 (4.8%) MTC, 2 (9.4%) MTC/PTC. Pathology revealed type I 4 (13.3%), type II 2 (6.7%), type III 14 (46.7%), type IV 10 (33.3%). The mean diameter of MTC was 1.6 ± 2.0cm, 18 (60%) were micro-MTC. The mean diameter of PTC was 0.9 ± 1.9 cm, 26 (86.7%) were micro-PTC. In 16 (53.3%) micro-PTC/-MTC occurred in synchronous sequence. Four patients had a recurrence: 2 had to be re-operated due to MTC recurrence, 2 died due to distant metastases (bone, liver). Conclusion We report an exceptional number of MTC/PTC in the same thyroid gland. This may be the most numerous case series reported in the literature. The clinical and pathological aspects as well as the results are presented.
Thioredoxin VdTrx1, an unconventional secreted protein, is a virulence factor in Verticillium dahliae

Understanding how plant pathogenic fungi adapt to their hosts is of critical importance to securing optimal crop productivity. In response to pathogenic attack, plants produce reactive oxygen species (ROS) as part of a multipronged defense response. Pathogens, in turn, have evolved ROS scavenging mechanisms to undermine host defense. Thioredoxins (Trx) are highly conserved oxidoreductase enzymes with a dithiol-disulfide active site, and function as antioxidants to protect cells against free radicals, such as ROS. However, the roles of thioredoxins in Verticillium dahliae, an important vascular pathogen, are not clear. Through proteomics analyses, we identified a putative thioredoxin (VdTrx1) lacking a signal peptide. VdTrx1 was present in the exoproteome of V. dahliae cultured in the presence of host tissues, a finding that suggested that it plays a role in host-pathogen interactions. We constructed a VdTrx1 deletion mutant ΔVdTrx1 that exhibited significantly higher sensitivity to ROS stress, H2O2, and tert-butyl hydroperoxide (t-BOOH). In vivo assays by live-cell imaging and in vitro assays by western blotting revealed that while VdTrx1 lacking the signal peptide can be localized within V. dahliae cells, VdTrx1 can also be secreted unconventionally depending on VdVps36, a member of the ESCRT-II protein complex. The ΔVdTrx1 strain was unable to scavenge host-generated extracellular ROS fully during host invasion. Deletion of VdTrx1 resulted in higher intracellular ROS levels of V. dahliae mycelium, displayed impaired conidial production, and showed significantly reduced virulence on Gossypium hirsutum, and model plants, Arabidopsis thaliana and Nicotiana benthamiana. Thus, we conclude that VdTrx1 acts as a virulence factor in V. dahliae.
Effectiveness of interventions to reduce child marriage and teen pregnancy in sub-Saharan Africa: A systematic review of quantitative evidence

Introduction Child marriage and teen pregnancy have negative health, social and development consequences. Highest rates of child marriage occur in sub-Saharan Africa (SSA) and 40% of women in Western and Central Africa got married before the age of 18. This systematic review was aimed to fill a gap in evidence of effectiveness to reduce teen pregnancy and child marriage in SSA. Methods We considered studies conducted in sub-Saharan Africa that reported on the effect of interventions on child marriage and teen pregnancy among adolescent girls for inclusion. We searched major databses and grey literature sources. Results We included 30 articles in this review. We categorized the interventions reported in the review into five general categories: (a) Interventions aimed to build educational assets, (b) Interventions aimed to build life skills and health assets, (c) Wealth building interventions, and (d) Community dialogue. Only few interventions were consistently effective across the studies included in the review. The provision of scholarship and systematically implemented community dialogues are consistently effective across settings. Conclusion Program designers aiming to empower adolescent girls should address environmental factors, including financial barriers and community norms. Future researchers should consider designing rigorous effectiveness and cost effectiveness studies to ensure sustainability. Systematic Review Registration https://www.crd. york.ac. uk/prospero/, identifier: CRD42022327397.
A predictive model based on random forest for shoulder-hand syndrome

Objectives The shoulder-hand syndrome (SHS) severely impedes the function recovery process of patients after stroke. It is incapable to identify the factors at high risk for its occurrence, and there is no effective treatment. This study intends to apply the random forest (RF) algorithm in ensemble learning to establish a predictive model for the occurrence of SHS after stroke, aiming to identify high-risk SHS in the first-stroke onset population and discuss possible therapeutic methods. Methods We retrospectively studied all the first-onset stroke patients with one-side hemiplegia, then 36 patients that met the criteria were included. The patients’ data concerning a wide spectrum of demographic, clinical, and laboratory data were analyzed. RF algorithms were built to predict the SHS occurrence, and the model’s reliability was measured with a confusion matrix and the area under the receiver operating curves (ROC). Results A binary classification model was trained based on 25 handpicked features. The area under the ROC curve of the prediction model was 0.8 and the out-of-bag accuracy rate was 72.73%. The confusion matrix indicated a sensitivity of 0.8 and a specificity of 0.5, respectively. And the feature importance scored the weights (top 3 from large to small) in the classification were D-dimer, C-reactive protein, and hemoglobin. Conclusion A reliable predictive model can be established based on post-stroke patients’ demographic, clinical, and laboratory data. Combining the results of RF and traditional statistical methods, our model found that D-dimer, CRP, and hemoglobin affected the occurrence of the SHS after stroke in a relatively small sample of data with tightly controlled inclusion criteria.
C-type lectin receptor agonists elicit functional IL21-expressing Tfh cells and induce primary B cell responses in neonates

Introduction C-type lectin receptor (CLR) agonists emerged as superior inducers of primary B cell responses in early life compared with Toll-like receptor (TLR) agonists, while both types of adjuvants are potent in adults. Methods Here, we explored the mechanisms accounting for the differences in neonatal adjuvanticity between a CLR-based (CAF®01) and a TLR4-based (GLA-SE) adjuvant administered with influenza hemagglutinin (HA) in neonatal mice, by using transcriptomics and systems biology analyses. Results On day 7 after immunization, HA/CAF01 increased IL6 and IL21 levels in the draining lymph nodes, while HA/GLA-SE increased IL10. CAF01 induced mixed Th1/Th17 neonatal responses while T cell responses induced by GLA-SE had a more pronounced Th2-profile. Only CAF01 induced T follicular helper (Tfh) cells expressing high levels of IL21 similar to levels induced in adult mice, which is essential for germinal center (GC) formation. Accordingly, only CAF01- induced neonatal Tfh cells activated adoptively transferred hen egg lysozyme (HEL)-specific B cells to form HEL+ GC B cells in neonatal mice upon vaccination with HEL-OVA. Discussion Collectively, the data show that CLR-based adjuvants are promising neonatal and infant adjuvants due to their ability to harness Tfh responses in early life.
Health-related quality of life among patients with treated alcohol use disorders, schizophreniform disorders or affective disorders and the influence of flexible and integrative psychiatric care models in Germany (PsychCare)

Introduction Flexible and integrated treatment options (FIT) have been established in German psychiatric hospitals to enhance continuous and patient-centered treatment for patients with mental disorders. We hypothesized that patients with experience in FIT treatment showed higher health-related quality of life (HRQoL) and comparable symptom severity compared with patients treated as usual (TAU). Further, we expected that some sub-dimensions of HRQoL determined HRQoL results clearer than others, while certain factors influenced HRQoL and symptom severity stronger in the FIT compared to the TAU group. In addition, we hypothesized that HRQoL is correlated with symptom severity. Methods We undertook a controlled, prospective, multicenter cohort study (PsychCare) conducted in 18 psychiatric hospitals in Germany, using the questionnaires Quality of Well Being Self-Administered (QWB-SA) (HRQoL) and Symptom-Checklist-K-9 (SCL-K-9) (symptom severity) at recruitment (measurement I) and 15 months later (measurement II). We assessed overall HRQoL (measured in health utility weights (HUW) and symptom severity score for patients from FIT and TAU treatment. We investigated the QWB-SA dimensions and separated the results by diagnosis. We used beta regressions to estimate the effect of multiple co-variates on both outcomes. To investigate the correlation between HRQoL and symptom severity, we used Pearson correlation. Results During measurement I, 1,150 patients were recruited; while 359 patients participated during measurement II. FIT patients reported higher HUWs at measurement I compared to TAU patients (0.530 vs. 0.481, p = 0.003) and comparable HUWs at measurement II (0.581 vs. 0.586, p = 0.584). Symptom severity was comparable between both groups (I: 21.4 vs. 21.1, p = 0.936; II: 18.8 vs. 19.8, p = 0.122). We found lowest HRQoL and highest symptom severity in participants with affective disorders. HRQoL increased and symptom severity decreased over time in both groups. The QWB-SA dimension acute and chronic symptoms was associated with highest detriments in HRQoL. We identified risk/protective factors that were associated with lower quality of life and higher symptom severity in both groups. We confirmed that HRQoL was negatively associated with symptom severity. Discussion Health-related quality of life (during hospital treatment) was higher among patients treated in FIT hospitals compared to patients in routine care, while symptom severity was comparable between both groups.
Carleman estimates for parabolic equations and applications

In this review, concerning parabolic equations, we give self-contained descriptions on derivations of Carleman estimates; methods for applications of the Carleman estimates to estimates of solutions and to inverse problems.Moreover limited to parabolic equations, we survey the previous and recent results in view of the applicability of the Carleman estimate. We do not intend to pursue any general treatments of the Carleman estimate itself but by showing it in a direct manner, we mainly aim to demonstrate the applicability of the Carleman estimate to the estimation of solutions and inverse problems. derivations of Carleman estimates; methods for applications of the Carleman estimates to estimates of solutions and to inverse problems.
Influences of Teaching Approaches and Class Size on Undergraduate Mathematical Learning

Abstract An issue for many mathematics departments is the success rate of precalculus students. In an effort to increase the success rate, this quantitative study investigated how class size and teaching approach influenced student achievement and students' attitudes towards learning mathematics. Students' achievement and their attitudes toward learning mathematics were compared across four treatments of a precalculus course. The four treatments were (a) traditional lecture-based structure, (b) traditional lecture-based structure with a reduced class size, (c) instruction that engaged students in problem solving, and (d) instruction that included opportunities for small collaborative groups. The achievement of students engaged in problem-based learning (PBL) was significantly higher than the other treatments. These findings suggest that undergraduates benefit from instruction that encourages reflection on prior knowledge while developing new ideas through problem solving. Surprisingly, students in the PBE treatment did not continue to outperform students in the other treatments in calculus. These findings suggest the need for longitudinal studies that investigate the long-term effect of teaching approach and small class size on student learning and student success in advanced mathematics courses.
Calculation of NMR chemical shifts for extended systems using ultrasoft pseudopotentials

We present a scheme for the calculation of magnetic response parameters in insulators using ultrasoft pseudopotentials. It uses the gauge-including projector augmented wave method [C. J. Pickard and F. Mauri, Phys. Rev. B 63, 245101 (2001)] to obtain all-electron accuracy for both finite and infinitely periodic systems. We consider in detail the calculation of NMR chemical shieldings. The approach is successfully validated first for molecular systems by comparing calculated chemical shieldings for a range of molecules with quantum chemistry results and then in the solid state by comparing O-17 NMR parameters calculated for silicates with experiment.
Miniaturized LED sources for in vivo optogenetic experimentation

Recently developed optogenetics techniques have enabled researchers to modulate the activity of specific cell types. As a result, complex neural pathways previously regarded as black boxes can now be directly probed, yielding a steadily increasing understanding of the basic neural circuits that underlie health and disease. For in vivo experimentation, fiber-coupled lasers have traditionally been used to illuminate internal brain regions, via an optical fiber that penetrates through overlying tissue. Though able to deliver intense fiber-coupled light, lasers are costly, bulky, and face limitations in output beam stability and temporal precision during modulated outputs. For experiments on unrestricted, behaving animals, a laser-based system also necessitates the use of fiber optic rotary joints, which come with costs and limitations of their own. Here, we report and characterize an alternative light delivery solution, based on high intensity fiber-coupled LEDs that are miniaturized for placement on the end of custom electrical commutators. This design allows for enhanced control of output light and expanded capabilities for optical stimulation as well as simultaneous electrical neural recordings, as with an optrode array. Temporal response of light outputs and light stability during commutator rotation were assessed. The influence of high current optical control signals on adjacent neural recording channels was also explored. To validate the function of this LED based system in in vivo recording scenarios, chronic stimulation experiments were performed.
Fabrication of ZnS∕SiC nanocables, SiC-shelled ZnS nanoribbons (and sheets), and SiC nanotubes (and tubes)

Here we report on the synthesis of ZnS∕SiC nanocables and SiC nanotubes and other relevant structures via a controllable two-stage thermal process using ZnS nanowires, nanoribbons, and sheets as templates. Within the cables, the ZnS cores are polytypes of fcc- and hcp-ZnS with ∼50–130nm diameter, and the SiC shells are polycrystalline β-SiC with ∼15–50nm thickness. SiC nanotubes were formed through simple removal of ZnS cores from the cables. Room-temperature photoluminescence of the SiC nanotubes displays a strong green emission band centered at ∼517nm. The nanostructures described herewith may be valuable in the blocks of advanced semiconducting devices.
Global aspects of the formation of γ Cephei b

Abstract Discoveries of extrasolar planets in tight binaries are of great scientific value since these systems can be used to gain new insights in planetary development processes. Gamma Cephei, one of the most thoroughly investigated double star systems is hosting a Jovian planet at a distance of about 2 AU from its primary, a 1.4 solar-mass K1 III-IV star (Neuhäuser et al. 2007; Torres 2007). We comprise aspects of dynamical stability, disc heating processes and different giant planet (GP) formation scenarios in order to gain a better understanding of the open questions that remain in explaining the formation of gamma Cephei b.