Miracle-dz/UniFAR-FTUs huggingface dataset:
The Perceived Impact of COVID-19 among Treatment-Seeking Smokers: A Mixed Methods Approach

The consequences of the COVID-19 pandemic on behavioral health, including tobacco use, are not fully known. The current study sought to measure the perceived impact of COVID-19 and the resulting stay-at-home orders in Philadelphia, Pennsylvania and Buffalo, New York on smokers enrolled in four smoking cessation trials between March 2020 and July 2020. The survey collected quantitative data regarding life changes due to COVID-19, health/exposure status, and the impact on their cessation attempt (e.g., motivation to quit, change in triggers). The questionnaire collected qualitative data to better understand how such changes could explain changes in smoking behavior. Of the 42 participants surveyed, approximately half indicated that COVID-19 changed their motivation and ability to quit or remain quit. Among those who reported that it was easier to quit following the stay-at-home orders (n = 24), most attributed this to concerns regarding the severity of COVID-19 among smokers. Among those who reported more difficulty quitting (n = 15), most attributed this to their increased stress due to the pandemic and the inability to access activities, places, or people that could help them manage triggers. Given public health warnings of continued surges in COVID-19, these data provide insight into who may benefit from further smoking cessation support should existing restrictions or new stay-at-home orders be enacted.
Core experiences of parents of children with autism during the COVID-19 pandemic lockdown

The lockdown that was imposed by governments as part of the attempt to contain the COVID-19 pandemic included extreme measures, such as home confinement and the shutting down of special education systems. Our aim was to learn about the core experiences of parents of children with autism during this significant life disturbance. Thirty-one parents of 25 children with autism participated in semi-structured telephone interviews which were transcribed verbatim and underwent a qualitative, immersion/crystallization analysis. The analysis was conducted in an iterative consensus-building process to identify parents’ experiences, concerns, challenges, coping strategies, and perceived needs during the lockdown. The main themes that emerged related to the various parental concerns; the major difficulties encountered during this unique time, the functional, social, and behavioral implications the lockdown had on these children; and the manner in which the parents coped as an indication of their resourcefulness and outlook. Our findings broaden the insight into the underlying elements of the hardships and gains experienced by children with autism and their parents in times of significant life adversity. Programs in such times should be directed at supporting and guiding parents on how to better accommodate to the situation, thereby optimizing their coping strategies and resilience. Lay abstract The lockdown and home isolation due to the COVID-19 pandemic led to significant transformation in lifestyles. Being a parent in this situation was not easy for anyone, much less for parents of children with special needs. The shutting down of special education systems meant that parents lost a vital support network and had to be the sole full-time caregivers despite often lacking the skills to cope with this new and daunting situation. We interviewed parents and learned that the main difficulties faced by homebound autistic children stemmed from the change in routine, lack of special education services, limited physical space, and food- and sleep-related issues. Some children experienced worsening in behavioral, social, and developmental domains, yet others seemed to not only overcome the challenges of changing conditions but even benefit from them. The children’s success or failure was directly related to how their parents coped. The key factors that enabled successful coping were the parents’ ability to accommodate to the child’s needs, their own creativeness and resourcefulness, and a generally positive outlook. The results of this analysis revealed that the best way to benefit autistic children caught up in drastic changes in their routine lifestyle is to invest in a strong support system for their parents.
Molecular excitation energies to high-lying bound states from time-dependent density-functional response theory: Characterization and correction of the time-dependent local density approximation ionization threshold

This paper presents an evaluation of the performance of time-dependent density-functional response theory (TD-DFRT) for the calculation of high-lying bound electronic excitation energies of molecules. TD-DFRT excitation energies are reported for a large number of states for each of four molecules: N2, CO, CH2O, and C2H4. In contrast to the good results obtained for low-lying states within the time-dependent local density approximation (TDLDA), there is a marked deterioration of the results for high-lying bound states. This is manifested as a collapse of the states above the TDLDA ionization threshold, which is at ? HOMOLDA (the negative of the highest occupied molecular orbital energy in the LDA). The ? HOMOLDA is much lower than the true ionization potential because the LDA exchange-correlation potential has the wrong asymptotic behavior. For this reason, the excitation energies were also calculated using the asymptotically correct potential of van Leeuwen and Baerends (LB94) in the self-consistent field step. This was found to correct the collapse of the high-lying states that was observed with the LDA. Nevertheless, further improvement of the functional is desirable. For low-lying states the asymptotic behavior of the exchange-correlation potential is not critical and the LDA potential does remarkably well. We propose criteria delineating for which states the TDLDA can be expected to be used without serious impact from the incorrect asymptotic behavior of the LDA potential
Arsenic trioxide and all-trans retinoic acid in the treatment of children with newly diagnosed acute promyelocytic leukemia

Shuang-Yue Li , Ying Lu, Hsiao-Chuan Liu , Eun Ji Gang , Jing Le, Su-Ying Qian, Shan-Hao Tang, Ting Si and Ren-Zhi Pei Department of Hematology, Yinzhou Hospital Affiliated to Medical School of Ningbo University, Ningbo, China; Department of Radiology, Mayo Clinic, Rochester, NY, USA; Department of Pediatrics, Division of Hematology and Oncology, Children’s Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Hematology, Ningbo Medical Centre Lihuili Hospital, Ningbo, China; Department of Hematology, Hwa Mei hospital, University of Chinese Academy of Science (Ningbo No. 2 Hospital), Ningbo, China
CLOCK disruption aggravates carotid artery stenosis through endoplasmic reticulum stress-induced endothelial-mesenchymal transition.

Carotid artery stenosis is a leading cause of ischemic stroke, but the underlying mechanism remains unclear. We aimed to determine the molecular mechanisms of carotid plaque progression. We analyzed the molecular and morphometric characteristics of carotid plaque samples obtained from 30 patients who underwent carotid endarterectomy. Additionally, we established a mouse model of carotid atherosclerosis by partially ligating the left common carotid arteries of male ClockΔ19/Δ19 (Clk) and wild-type (WT) C57BL/6J mice fed a high-fat diet. Clk and WT primary mouse aortic endothelial cells (pMAECs) were exposed to disturbed flow (DF) or undisturbed flow (UF) with or without treatment with the IRE-1α inhibitor STF-083010 or the PERK inhibitor GSK2606414. In human carotid artery plaques, CLOCK expression was lower in the lipid-rich necrotic core than in transitional regions, especially in the endothelium. Decreased CLOCK mRNA levels were associated with more extensive stenosis, intraplaque hemorrhage, and complex plaque in human carotid plaques. In mice, the ClockΔ19/Δ19 mutation significantly increased neointima formation and neovascularization but decreased collagen content and lumen area in partially ligated carotid arteries. In addition, ClockΔ19/Δ19 mutants exhibited significantly decreased Cdh5 expression and increased expression of endothelial-mesenchymal transition (EndMT) and endoplasmic reticulum (ER) stress markers in mice with partially ligated carotid arteries and pMAECs exposed to DF. Notably, inhibition of the IRE1α-XBP1 axis abrogated the increased EndMT caused by ClockΔ19/Δ19 mutation and DF in pMAECs. In conclusion, the disruption of CLOCK function aggravates EndMT via the IRE1α-XBP1 axis, contributing to carotid artery stenosis.
On the Reaction Pathways and Growth Mechanisms of LiNbO3 Nanocrystals from the Non-Aqueous Solvothermal Alkoxide Route

Phase-pure, highly crystalline sub-50 nm LiNbO3 nanocrystals were prepared from a non-aqueous solvothermal process for 72 h at 230 °C and a commercial precursor solution of mixed lithium niobium ethoxide in its parent alcohol. A systematic variation of the reaction medium composition with the addition of different amounts of co-solvent including butanol, 1,3-propanediol, 1,4-butanediol, and 1,5-pentanediol resulted in the formation of nanocrystals of adjustable mean size and shape anisotropy, as demonstrated from XRD measurements and TEM imaging. Colloidal stability of ethanol- and water-based suspensions was evaluated from dynamic light scattering (DLS)/zeta potential studies and correlated with FTIR data. Thanks to the evolution in the nanocrystal size and shape distribution we observed, as well as to the available literature on the alkoxide chemistry, the reaction pathways and growth mechanisms were finally discussed with a special attention on the monomer formation rate, leading to the nucleation step. The polar, non-perovskite crystalline structure of LiNbO3 was also evidenced to play a major role in the nanocrystal shape anisotropy.
Metabolomics Insights into Osteoporosis Through Association With Bone Mineral Density

Osteoporosis, a disease characterized by low bone mineral density (BMD), increases the risk for fractures. Conventional risk factors alone do not completely explain measured BMD or osteoporotic fracture risk. Metabolomics may provide additional information. We aim to identify BMD‐associated metabolomic markers that are predictive of fracture risk. We assessed 209 plasma metabolites by liquid chromatography with tandem mass spectrometry (LC–MS/MS) in 1552 Framingham Offspring Study participants, and measured femoral neck (FN) and lumbar spine (LS) BMD 2 to 10 years later using dual‐energy X‐ray absorptiometry. We assessed osteoporotic fractures up to 27‐year follow‐up after metabolomic profiling. We identified 27 metabolites associated with FN‐BMD or LS‐BMD by LASSO regression with internal validation. Incorporating selected metabolites significantly improved the prediction and the classification of osteoporotic fracture risk beyond conventional risk factors (area under the curve [AUC] = 0.74 for the model with identified metabolites and risk factors versus AUC = 0.70 with risk factors alone, p = .001; net reclassification index = 0.07, p = .03). We replicated significant improvement in fracture prediction by incorporating selected metabolites in 634 participants from the Hong Kong Osteoporosis Study (HKOS). The glycine, serine, and threonine metabolism pathway (including four identified metabolites: creatine, dimethylglycine, glycine, and serine) was significantly enriched (false discovery rate [FDR] p value = .028). Furthermore, three causally related metabolites (glycine, phosphatidylcholine [PC], and triacylglycerol [TAG]) were negatively associated with FN‐BMD, whereas PC and TAG were negatively associated with LS‐BMD through Mendelian randomization analysis. In summary, metabolites associated with BMD are helpful in osteoporotic fracture risk prediction. Potential causal mechanisms explaining the three metabolites on BMD are worthy of further experimental validation. Our findings may provide novel insights into the pathogenesis of osteoporosis. © 2021 American Society for Bone and Mineral Research (ASBMR).
Surgical Plating vs Closed Reduction for Fractures in the Distal Radius in Older Patients: A Randomized Clinical Trial.

Importance The burden of injury and costs of wrist fractures are substantial. Surgical treatment became popular without strong supporting evidence. Objective To assess whether current surgical treatment for displaced distal radius fractures provided better patient-reported wrist pain and function than nonsurgical treatment in patients 60 years and older. Design, Setting, and Participants In this multicenter randomized clinical trial and parallel observational study, 300 eligible patients were screened from 19 centers in Australia and New Zealand from December 1, 2016, until December 31, 2018. A total of 166 participants were randomized to surgical or nonsurgical treatment and followed up at 3 and 12 months by blinded assessors. Those 134 individuals who declined randomization were included in a parallel observational cohort with the same treatment options and follow-up. The primary analysis was intention to treat; sensitivity analyses included as-treated and per-protocol analyses. Intervention Surgical treatment was open reduction and internal fixation using a volar-locking plate (VLP). Nonsurgical treatment was closed reduction and cast immobilization (CR). Main Outcomes and Measures The primary outcome was the Patient-Rated Wrist Evaluation score at 12 months. Secondary outcomes were Disabilities of Arm, Shoulder, and Hand questionnaire score, health-related quality of life, pain, major complications, patient-reported treatment success, bother with appearance, and therapy use. Results In the 300 study participants (mean [SD] age, 71.2 [7.5] years; 269 [90%] female; 166 [81 VLP and 85 CR] in the randomized clinical trial sample and 134 [32 VLP and 102 CR] in the observational sample), no clinically important between-group difference in 12-month Patient-Rated Wrist Evaluation scores (mean [SD] score of 19.8 [21.1] for VLP and 21.5 [24.3] for CR; mean difference, 1.7 points; 95% CI -5.4 to 8.8) was observed. No clinically important differences were found in quality of life, wrist pain, or bother at 3 and 12 months. No significant difference was found in total complications between groups (12 of 84 [14%] for the CR group vs 6 of 80 [8%] for the VLP group; risk ratio [RR], 0.53; 95% CI, 0.21-1.33). Patient-reported treatment success favored the VLP group at 12 months (very successful or successful: 70 [89%] vs 57 [70%]; RR, 1.26; 95% CI, 1.07-1.48; P = .005). There was greater use of postoperative physical therapy in the VLP group (56 [72%] vs 44 [54%]; RR, 1.32; 95% CI, 1.04-1.69; P = 0.02). Conclusions and Relevance This randomized clinical trial found no between-group differences in improvement in wrist pain or function at 12 months from VLP fixation over CR for displaced distal radius fractures in older people. Trial Registration http://anzctr.org. au identifier: ACTRN12616000969460.
The selective inhibitor of nuclear export (SINE) verdinexor exhibits biologic activity against canine osteosarcoma cell lines

Abstract Verdinexor (KPT‐335) is a novel orally bioavailable selective inhibitor of nuclear export (SINE) compound that inhibits the function of the nuclear export protein Exportin 1 (XPO1/CRM1). In the present study, we sought to characterize the expression of XPO1 in primary canine osteosarcoma (OS) tumour samples, OS cell lines and normal osteoblasts and evaluate the in vitro activity of verdinexor alone or in combination with doxorubicin. Canine OS cell lines and a subset of primary OS tumours showed increased XPO1 transcript and protein expression as compared with normal canine osteoblast cells. All canine OS cell lines exhibited dose‐dependent growth inhibition and increased caspase 3,7 activity in response to low nanomolar concentrations of verdinexor (IC50 concentrations ranging from 21 to 74 nM). Notably, growth inhibition of normal canine osteoblast cell lines treated with verdinexor was observed at high micromolar concentrations (IC50 = 21 μM). The combination of verdinexor and doxorubicin resulted in potent inhibition of cell viability and demonstrated synergetic activity in three canine OS cell lines. Concordantly, OS cell lines showed increased γH2A. X foci following treatment with doxorubicin and recovery in verdinexor compared with cells treated with doxorubicin and recovered in normal media for 24 hours. These findings demonstrate that verdinexor has biologic activity against canine OS cell lines at physiologically relevant doses and suggest that XPO1 inhibition in combination with standard doxorubicin treatment offers promising potential for chemotherapeutic intervention in canine OS.
The other ‘C’: Hospital-acquired Clostridioides difficile infection during the coronavirus disease 2019 (COVID-19) pandemic

To the Editor — We read with interest the recent article by LeRose et al 1 on the impact of coronavirus disease 2019 (COVID-19) on healthcare-associated infection. In contrast to their observations of increased central-line – associated infection and blood-culture contamination rates during the first wave of the COVID-19 pandemic, we observed a decrease in hospital-acquired Clostridioides difficile infection (HA-CDI) within our institution over this time, compared with the same period in previous years
Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer’s Disease Classification

Structural magnetic resonance imaging (sMRI)-based Alzheimer’s disease (AD) classification and its prodromal stage–mild cognitive impairment (MCI) classification have attracted many attentions and been widely investigated in recent years. Owing to the high dimensionality, representation of the sMRI image becomes a difficult issue in AD classification. Furthermore, regions of interest (ROI) reflected in the sMRI image are not characterized properly by spatial analysis techniques, which has been a main cause of weakening the discriminating ability of the extracted spatial feature. In this study, we propose a ROI-based contourlet subband energy (ROICSE) feature to represent the sMRI image in the frequency domain for AD classification. Specifically, a preprocessed sMRI image is first segmented into 90 ROIs by a constructed brain mask. Instead of extracting features from the 90 ROIs in the spatial domain, the contourlet transform is performed on each of these ROIs to obtain their energy subbands. And then for an ROI, a subband energy (SE) feature vector is constructed to capture its energy distribution and contour information. Afterwards, SE feature vectors of the 90 ROIs are concatenated to form a ROICSE feature of the sMRI image. Finally, support vector machine (SVM) classifier is used to classify 880 subjects from ADNI and OASIS databases. Experimental results show that the ROICSE approach outperforms six other state-of-the-art methods, demonstrating that energy and contour information of the ROI are important to capture differences between the sMRI images of AD and HC subjects. Meanwhile, brain regions related to AD can also be found using the ROICSE feature, indicating that the ROICSE feature can be a promising assistant imaging marker for the AD diagnosis via the sMRI image. Code and Sample IDs of this paper can be downloaded at https://github.com/NWPU-903PR/ROICSE.git.
The Yin and Yang-Like Clinical Implications of the CDKN2A/ARF/CDKN2B Gene Cluster in Acute Lymphoblastic Leukemia

Acute lymphoblastic leukemia (ALL) is a malignant clonal expansion of lymphoid hematopoietic precursors that exhibit developmental arrest at varying stages of differentiation. Similar to what occurs in solid cancers, transformation of normal hematopoietic precursors is governed by a multistep oncogenic process that drives initiation, clonal expansion and metastasis. In this process, alterations in genes encoding proteins that govern processes such as cell proliferation, differentiation, and growth provide us with some of the clearest mechanistic insights into how and why cancer arises. In such a scenario, deletions in the 9p21.3 cluster involving CDKN2A/ARF/CDKN2B genes arise as one of the oncogenic hallmarks of ALL. Deletions in this region are the most frequent structural alteration in T-cell acute lymphoblastic leukemia (T-ALL) and account for roughly 30% of copy number alterations found in B-cell-precursor acute lymphoblastic leukemia (BCP-ALL). Here, we review the literature concerning the involvement of the CDKN2A/B genes as a prognosis marker of good or bad response in the two ALL subtypes (BCP-ALL and T-ALL). We compare frequencies observed in studies performed on several ALL cohorts (adult and child), which mainly consider genetic data produced by genomic techniques. We also summarize what we have learned from mouse models designed to evaluate the functional involvement of the gene cluster in ALL development and in relapse/resistance to treatment. Finally, we examine the range of possibilities for targeting the abnormal function of the protein-coding genes of this cluster and their potential to act as anti-leukemic agents in patients.
Determinants of COVID-19 Mortality in Patients With Cancer From a Community Oncology Practice in Brazil

PURPOSE The COVID-19 pandemic remains a public health emergency of global concern. Determinants of mortality in the general population are now clear, but specific data on patients with cancer remain limited, particularly in Latin America. MATERIALS AND METHODS A longitudinal multicenter cohort study of patients with cancer and confirmed COVID-19 from Oncoclínicas community oncology practice in Brazil was conducted. The primary end point was all-cause mortality after isolation of the SARS-CoV-2 by Real-Time Polymerase Chain Reaction (RT-PCR) in patients initially diagnosed in an outpatient environment. We performed univariate and multivariable logistic regression analysis and recursive partitioning modeling to define the baseline clinical determinants of death in the overall population. RESULTS From March 29 to July 4, 2020, 198 patients with COVID-19 were prospectively registered in the database, of which 167 (84%) had solid tumors and 31 (16%) had hematologic malignancies. Most patients were on active systemic therapy or radiotherapy (77%), largely for advanced or metastatic disease (64%). The overall mortality rate was 16.7% (95% CI, 11.9 to 22.7). In univariate models, factors associated with death after COVID-19 diagnosis were age ≥ 60 years, current or former smoking, coexisting comorbidities, respiratory tract cancer, and management in a noncurative setting (P < .05). In multivariable logistic regression and recursive partitioning modeling, only age, smoking history, and noncurative disease setting remained significant determinants of mortality, ranging from 1% in cancer survivors under surveillance or (neo)adjuvant therapy to 60% in elderly smokers with advanced or metastatic disease. CONCLUSION Mortality after COVID-19 in patients with cancer is influenced by prognostic factors that also affect outcomes of the general population. Fragile patients and smokers are entitled to active preventive measures to reduce the risk of SARS-CoV-2 infection and close monitoring in the case of exposure or COVID-19-related symptoms.