Miracle-dz/UniFAR-FTUs huggingface dataset:
pH-sensitive magnetic drug delivery system via layer-by-layer self-assembly of CS/PEG and its controlled release of DOX

Abstract Cancer is one of the biggest killers threat to human life and health and is still difficult to treat mainly due to the lack of targeted drug delivery stages and limitations associated with delivering drugs to targeted cancer tissues. The goal of this work was to develop a magnetic, pH-sensitive formulation for targeted delivery of chemotherapeutic agents to cancer cells. Then the functional drug delivery system (Fe3O4@CS/PEG-DOX) was synthesized by the layer-by-layer (LbL) self-assembly technique. And the drug loading content is calculated to be 19.1%. In addition, the Fe3O4@CS/PEG-DOX exhibited excellent pH-sensitivity, 73.1% DOX was released within 48 h at pH 4.0. Furthermore, all the release behaviors fit the Higuchi model very well and the dissolution of CS/PEG layers played a key role on DOX release from Fe3O4@CS/PEG-DOX. The results of toxicity analysis in human liver hepatocellular carcinoma cells (HepG2) revealed that Fe3O4@CS/PEG-DOX exhibited high anti-tumor activity, while the Fe3O4@CS/PEG nanocomposites were practically non-toxic. Therefore, all the results demonstrated that the Fe3O4@CS/PEG-DOX could have an important impact on the development of targeted intracellular delivery nanodevices for cancer therapy.
Alzheimer's Disease Diagnosis Using Misfolding Proteins in Blood

Alzheimer's disease (AD) is pathologically characterized by a long progressive phase of neuronal changes, including accumulation of extracellular amyloid-β (Aβ) and intracellular neurofibrillary tangles, before the onset of observable symptoms. Many efforts have been made to develop a blood-based diagnostic method for AD by incorporating Aβ and tau as plasma biomarkers. As blood tests have the advantages of being highly accessible and low cost, clinical implementation of AD blood tests would provide preventative screening to presymptomatic individuals, facilitating early identification of AD patients and, thus, treatment development in clinical research. However, the low concentration of AD biomarkers in the plasma has posed difficulties for accurate detection, hindering the development of a reliable blood test. In this review, we introduce three AD blood test technologies emerging in South Korea, which have distinctive methods of heightening detection sensitivity of specific plasma biomarkers. We discuss in detail the multimer detection system, the self-standard analysis of Aβ biomarkers quantified by interdigitated microelectrodes, and a biomarker ratio analysis comprising Aβ and tau.
Molecular docking and molecular dynamics simulations of a mutant Acinetobacter haemolyticus alkaline-stable lipase against tributyrin

Abstract We previously reported on a mutant lipase KV1 (Mut-LipKV1) from Acinetobacter haemolyticus which optimal pH was raised from 8.0 to 11.0 after triple substitutions of surface aspartic acid (Asp) with lysine (Lys). Herein, this study further examined the Mut-LipKV1 by molecular docking, molecular dynamics (MD) simulations and molecular mechanics-Poisson Boltzmann surface area (MM-PBSA) calculations to explore the structural requirements that participated in the effective binding of tributyrin and its catalytic triad (Ser165, Asp259 and His289) and identify detailed changes that occurred post mutation. Mut-LipKV1 bound favorably with tributyrin (−4.1 kcal/mol) and formed a single hydrogen bond with His289, at pH 9.0. Despite the incongruent docking analysis data, results of MD simulations showed configurations of both the tributyrin-Mut-LipKV1 (RMSD 0.3 nm; RMSF 0.05 − 0.3 nm) and the tributyrin-wildtype lipase KV1 (tributyrin-LipKV1) complexes (RMSD 0.35 nm; RMSF 0.05 − 0.4 nm) being comparably stable at pH 8.0. MM-PBSA analysis indicated that van der Waals interactions made the most contribution during the molecular binding process, with the Mut-LipKV1-tributyrin complex (−44.04 kcal/mol) showing relatively lower binding energy than LipKV1-tributyrin (−43.83 kcal/mol), at pH 12.0. All tributyrin-Mut-LipKV1 complexes displayed improved binding free energies over a broader pH range from 8.0 − 12.0, as compared to LipKV1-tributyrin. Future empirical works are thus, important to validate the improved alkaline-stability of Mut-LipKV1. In a nutshell, our research offered a considerable insight for further improving the alkaline tolerance of lipases. Communicated by Ramaswamy H. Sarma
Insights into amebiasis using a human 3D‐intestinal model

Entamoeba histolytica is the causative agent of amebiasis, an infectious disease targeting the intestine and the liver in humans. Two types of intestinal infection are caused by this parasite: silent infection, which occurs in the majority of cases, and invasive disease, which affects 10% of infected persons. To understand the intestinal pathogenic process, several in vitro models, such as cell cultures, human tissue explants or human intestine xenografts in mice, have been employed. Nevertheless, our knowledge on the early steps of amebic intestinal infection and the molecules involved during human–parasite interaction is scarce, in part due to limitations in the experimental settings. In the present work, we took advantage of tissue engineering approaches to build a three‐dimensional (3D)‐intestinal model that is able to replicate the general characteristics of the human colon. This system consists of an epithelial layer that develops tight and adherens junctions, a mucus layer and a lamina propria‐like compartment made up of collagen containing macrophages and fibroblast. By means of microscopy imaging, omics assays and the evaluation of immune responses, we show a very dynamic interaction between E. histolytica and the 3D‐intestinal model. Our data highlight the importance of several virulence markers occurring in patients or in experimental models, but they also demonstrate the involvement of under described molecules and regulatory factors in the amoebic invasive process.
The role of acculturation in the relationship between self-stigma and psychological distress among Chinese American breast cancer survivors

ABSTRACT Attitudes about breast cancer have improved in the USA, yet stigma is still present in some ethnic and immigrant populations and affecting survivors’ experiences. Chinese American breast cancer survivors report negative beliefs and stigma to be a major stressor; this could result in mental health consequences. We hypothesized that greater self-stigma will be related to greater psychological distress (namely, depressive symptoms, and perceived stress). Furthermore, we expected that the association between self-stigma and psychological distress will be stronger among Chinese American breast cancer survivors who are less acculturated to the USA than those who are highly acculturated. One hundred and thirty-six Chinese American breast cancer survivors completed questionnaires that measured self-stigma, acculturation, depressive symptoms, perceived stress, and demographic information. Hierarchical linear regressions were conducted to examine the main effect of stigma on depressive symptoms and perceived stress, and the moderating effect of acculturation. As predicted, self-stigma was associated with greater depressive symptoms and perceived stress among Chinese American breast cancer survivors, especially those who are less acculturated. Self-stigma may play a part in psychological adjustment among Chinese American breast cancer survivors. Interventions that incorporate techniques to reduce self-stigma could be beneficial for Chinese American breast cancer survivors, especially for those who are less acculturated to American society.
Co-stabilization of pioglitazone HCL nanoparticles prepared by planetary ball milling: in-vitro and in-vivo evaluation

Abstract Pioglitazone (PGZ) is an oral antidiabetic agent that increases cell resistance to insulin, thereby decreasing blood glucose levels. PGZ is a class II drug. Because of its pH-dependent solubility, it precipitates at the intestinal pH, resulting in an erratic and incomplete absorption following oral administration, which causes fluctuations in its plasma concentration. A nanoparticle drug delivery system offers a solution to enhance the dissolution rate of this poorly water-soluble drug. PGZ nanoparticles were formulated by the wet milling technique using a planetary ball mill. The effects of the steric stabilizer (Pluronic F-127, PL F-127), electrostatic stabilizer (sodium deoxycholate, SDC), and number of milling cycles were optimized using a Box-Behnken factorial design. The results showed that the ratio of PL F-127: SDC significantly affected the zeta potential and the dissolution efficiency (DE%) of PGZ. The optimized PGZ nanoparticle formulation enhanced the dissolution to reach 100% after 5 min. The in-vivo results showed significant enhancement in Cmax (1.3-fold) compared to that of the raw powder, and both AUC0–24 and AUC0–∞ were significantly (p < 0.05) enhanced. In conclusion, PGZ nanoparticle formulation had enhanced dissolution rate in the alkaline media, which improved its drug bioavailability relative to that of the untreated drug.
Internalized versus externalized continuing bonds: Relations to grief, trauma, attachment, openness to experience, and posttraumatic growth

Abstract This research investigated the predictors of internalized versus externalized continuing bonds to examine whether internalized bonds are more associated with adaptive adjustment to bereavement than externalized. Four studies were conducted: two of romantic partner loss (n = 268 & 218), one of dog or cat loss (n = 199), and one of prenatal loss (n = 226). Participants completed questionnaires online. As predicted, the use of internalized continuing bonds was related to indicators of positive adaptation to grief (e.g. more secure attachment to deceased) while externalized was more strongly associated with indicators of clinical distress (e.g. greater trauma symptomatology).
Low expression of A-kinase anchor protein 5 predicts poor prognosis in non-mucin producing stomach adenocarcinoma based on TCGA data.

Background In the past, there were not a lot of studies on how A-kinase anchor protein 5 (AKAP5) involving in the pathogenesis and prognosis of non-mucin producing stomach adenocarcinoma (NMSA). Therefore, we studied the relationship between AKAP5 and the prognosis of NMSA and its possible mechanisms using publicly available data from The Cancer Genome Atlas (TCGA). Methods RNA high-throughput sequencing and clinicopathologic data of NMSA were downloaded from the TCGA. Clinical pathologic features associated with AKAP5 expression were analyzed using the chi-square and Fisher exact tests. The relationship between the overall survival (OS) and AKAP5 expression was analyzed by the Kaplan-Meier method and the Cox regression analysis. GSEA analysis was performed using the TCGA dataset. Results Our results indicated that the AKAP5 expression was increased in NMSA (all tumor vs. adjacent mucosa). Also, histologic grade, clinical stage, N classification, and survival status were significantly correlated with AKAP5 expression. Kaplan-Meier curves showed that low AKAP5 expression was associated with a poor OS among the NMSA patients (P=5.003e-05), and in the clinical stage III and IV (P=4.646e-05), TNM stage T3 (P=0.016), T4 (P=0.001), N2 (P=0.012), N3 (P=0.003), M0 (P=3.911e-05), and histological grade G3 (P=1.658e-04) subgroups. Cox regression analysis showed that reduced AKAP5 expression in NMSA is associated with age (HR =1.03, P=0.007), stage (HR =1.84 for stage I, II vs. stage III, IV, P=0.002) and M classification (HR =1.8 for M0 vs. M1, P=0.010). Gene sets related to cholesterol homeostasis, glycolysis, estrogen response late, adipogenesis, estrogen response early, notch signaling, and peroxisome were differentially enriched with the low AKAP5 expression phenotype. Conclusions Low expression of AKAP5 may be a potential molecular marker for predicting poor prognosis of NMSA. Besides, cholesterol homeostasis, glycolysis, estrogen response, adipogenesis, notch signaling, and peroxisome may be the key pathways regulated by AKAP5 in NMSA. It also suggested that AKAP5 might potentially have biological functions in the development of stomach adenocarcinoma.
Study on the risk prediction for cerebral infarction after transient ischemic attack

Abstract Transient ischemic attack (TIA) is often recurrent, and about one-third of patients will progress to cerebral infarction. Rapidly identifying high-risk patients is pivotal to prevent the development of cerebral infarction. Therefore, this study aimed to evaluate the value of ABCD2 score, ABCD2 score combined with magnetic resonance diffusion weighted imaging (DWI) and intracranial arterial magnetic resonance angiography (MRA) in predicting cerebral infarction after 2 to 30 days of transient ischemic attack (TIA). 182 patients with TIA from August 2011 to August 2014 were enrolled as study subjects, and their clinical data, test results of DWI and MRA were collected. The incidence of cerebral infarction was observed at 2 days, 7 days and 30 days after TIA in patients with TIA, through scoring according to the 7-point ABCD2 score method proposed by Johnston. The relationship between ABCD2 score, performances of DWI and MRA and the early incidence of cerebral infarction after TIA was analyzed. The accuracy rating of ABCD2 score and ABCD2 + DWI + MRA score used for predicting the early incidence of cerebral infarction after TIA were compared with each other. The incidence of cerebral infarction after TIA was 19 cases (10.4%) in 2 days, 42 cases (23.1%) in 7 days, 56 cases (30.8%) in 30 days respectively. For the ABCD2 score of incidence of cerebral infarction 2 to 30 days after TIA, that of those with high risk was higher than that with medium risk, and that with the medium risk was higher than that with low risk (P < .05). The area under the curve of ABCD2 + DWI + MRA score and ABCD2 score predicting the incidence of cerebral infarction was: in 2 days: 0.782 and 0.748, in 7 days: 0.839 and 0.801, in 30 days: 0.780 and 0.757, P < . 05. Compared with ABCD2 score, ABCD2 score combined with DWI and MRA can further improve the accuracy of prediction for cerebral infarction after TIA.
Video SAR Imaging Based on Low-Rank Tensor Recovery

Due to its ability of forming continuous images for a ground scene of interest, the video synthetic aperture radar (SAR) has been studied in recent years. However, as video SAR needs to reconstruct many frames, the data are of enormous amount and the imaging process is of large computational cost, which limits its applications. In this article, we exploit the redundancy property of multiframe video SAR data, which can be modeled as low-rank tensor, and formulate the video SAR imaging process as a low-rank tensor recovery problem, which is solved by an efficient alternating minimization method. We empirically compare the proposed method with several state-of-the-art video SAR imaging algorithms, including the fast back-projection (FBP) method and the compressed sensing (CS)-based method. Experiments on both simulated and real data show that the proposed low-rank tensor-based method requires significantly less amount of data samples while achieving similar or better imaging performance.
CELL-FREE DNA: BIOSPECIMEN COLLECTION AND PROCESSING

1.0 PURPOSE The purpose of this document is to provide evidence-based guidance for the proper collection and processing of cell-free DNA (cfDNA) from human plasma1. This guidance is intended to support the development and execution of evidence-based Standard Operating Procedures (SOPs) for human biospecimen collection, processing, and storage to be used in conjunction with properly validated analytical assays.
Medical students' ratings of the relevance and actual implementation of interprofessional education and preferences for teaching formats: comparison by gender and prior education

Objectives: Interprofessional education is becoming increasingly important for collaboration in patient care. In the national context, there are few empirical studies on the assessment of medical students as important stakeholders in their education. Method: Students (N=2,974) participated in a semester-wide online evaluation of the modular curriculum of medicine at the Charité Berlin. Socio-demographic data (including gender, completion of prior education/studies), assessments of the relevance and extent of interprofessional collaboration and preferences for interprofessional education in various teaching formats were collected. Results: In total, data from 1,019 students were included in the evaluation. The relevance of interprofessional collaboration was considered high by medical students. Female students rated the relevance higher than male students. The completion of pre-education (vocational training or study) had no additional influence. The actual implementation of interprofessional education was rated equally low by female and male students. Medical students rated patient-centred, interactive small group formats as particularly suitable for interprofessional education. There were no gender differences, but the effect was more pronounced among students with vocational training. Conclusion: The assessments of female and male students show a large difference between the perceived relevance and the actual implementation of interprofessional collaboration in the modular curriculum of medicine. This study provides an empirical basis for the actual implementation of interprofessional collaboration and students’ views on suitable teaching formats for interprofessional education.
Porphyrin-based Nanostructure-Dependent Photodynamic and Photothermal Therapies

This thesis presents the investigation of nanostructure-dependent phototherapy. We reviewed the liposomal structures for delivery of photosensitizers, and introduced a novel class of phototransducing liposomes called “porphysomes”. Porphysomes are self-assembled from high packing density of pyropheophorbide -conjugated phospholipids, resulting in extreme selfquenching of porphyrin fluorescence and comparable optical absorption to gold nanoparticles for high photothermal efficiency. We demonstrated this self-assembly of porphyrin-lipid conjugates converts a singlet oxygen generating mechanism (photodynamic therapy PDT activity) of porphyrin to photothermal mechanism (photothermal therapy PTT activity). The efficacy of porphysome-enhanced PTT was then evaluated on two pre-clinical animal models. We validated porphysome-enabled focal PTT to treat orthotopic prostate cancer using MRI-guided focal laser placement to closely mimic the current clinic procedure. Furthermore, porphysome-enabled fluorescence-guided transbronchial PTT of lung cancer was demonstrated in rabbit orthotopic lung cancer models, which led to the development of an ultra-minimally invasive therapy for early-stage peripheral lung cancer. On the other hand, the nanostructure-mediated conversion of
Social Comparison and Facebook: Feedback, Positivity, and Opportunities for Comparison

People compare themselves to one another both offline and online. The specific online activities that worsen social comparison are partly understood, though much existing research relies on people recalling their own online activities post hoc and is situated in only a few countries. To better understand social comparison worldwide and the range of associated behaviors on social media, a survey of 38,000 people from 18 countries was paired with logged activity on Facebook for the prior month. People who reported more frequent social comparison spent more time on Facebook, had more friends, and saw proportionally more social content on the site. They also saw greater amounts of feedback on friends' posts and proportionally more positivity. There was no evidence that social comparison happened more with acquaintances than close friends. One in five respondents recalled recently seeing a post that made them feel worse about themselves but reported conflicting views: half wished they hadn't seen the post, while a third felt very happy for the poster. Design opportunities are discussed, including hiding feedback counts, filters for topics and people, and supporting meaningful interactions, so that when comparisons do occur, people are less affected by them.
Transfer learning for effective scientific research comprehension

Automatic research paper summarization is a fairly interesting topic that has garnered signiﬁcant interest in the research community in recent years. In this paper, we introduce team Helium’s system description for the CL-SciSumm shared task colocated with SIGIR 2019. We speciﬁcally attempt the ﬁrst task, targeting in building an improved recall system of reference text spans from a given citing research paper (Task 1A) and constructing better models for comprehension of scientiﬁc facets (Task 1B). Our architecture incorporates transfer learning by utilising a combination of pretrained embeddings which are subsequently used for building models for the given tasks. In particular - for task 1A, we locate the related text spans referred to by the citation text by creating paired text representations and employ pre-trained embedding mechanisms in conjunction with XGBoost, a gradient boosted decision tree algorithm to identify textual entailment. For task 1B, we make use of the same pretrained embeddings and use the RAKEL algorithm for multi-label classiﬁcation. Our goal is to enable better scientiﬁc research comprehension and we believe that a new approach involving transfer learning will certainly add value to the research community working on these tasks.
Evaporation from soils of different texture covered by layers of water repellent and wettable soils

Water repellent soils are able to channel water deep into the soil profile by fingered flow, minimising water storage in the water repellent top layer where water is most susceptible to evaporation. To date, the effect of water repellent or wettable surface layer on evaporation from wet sublayer has only been reported for coarse materials, and an increase in water repellency led to a greater delay in water evaporation. The objective of this study was to assess the effect of water repellent vs. wettable top layers with different thickness on water evaporation from coarse and fine texture subsoils that were pre-moistened. Clay loam soil samples were taken from Pinus pinaster woodland of Ciavolo, Italy, and sandy soil samples from Pinus sylvestris woodland of Sekule, Slovakia. Evaporation from soil samples was determined from the loss of weight in laboratory conditions. Water in the clay loam soil from Ciavolo was held for a longer period due to slower evaporative loss than in the sandy soil from Sekule, and the impact of the water repellent layer on the loss rate over time is related to its thickness. Over 550 h, about 90% of the initial stored water was evaporated from the uncovered clay-loam soil sample from Ciavolo. In the same time, the 0.3, 1, and 2 cm-thick duff layers, respectively, saved about 23, 34, and 58% of water from evaporation, and evaporation of 90% of water took over 780, 1100, and 1450 h. It means that the clay loam soil cover with the 0.3, 1, and 2 cm-thick duff layers resulted in prolonging the evaporation by 10, 23, and 37.5 days, respectively. As to the sandy soil from Sekule, 98% of water was evaporated from the uncovered soil sample over 240 h. In the same time, the 0.3, 1, and 2 cm-thick water repellent soil layers, respectively, saved about 7, 45, and 59% of water from evaporation, and evaporation of 98% of water took over 330, 606, and 774 h. It means that the sandy soil cover with the 0.3, 1, and 2 cm-thick water repellent soil layers resulted in prolonging the evaporation by about 4, 15, and 22 days, respectively. It can be concluded that water repellent surface layers, created by pine trees, are able to delay evaporation significantly for both coarse and fine textured soils, which may be particularly beneficial for plants during hot and dry periods in summer.