Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear rotational spectroscopy reveals many-body interactions in water molecules

Significance Since water vapor exists everywhere around us and is crucial to life, the stable complexes that water molecules form with each other and with various environmental constituents have been studied extensively. Transient, metastable complexes are more elusive. A recently developed method, two-dimensional rotational spectroscopy, directly measures correlations between the rotational transitions in a conventional spectrum. Measurements of water vapor showed that rotations of one water molecule can change the rotational frequencies of another. Distinct spectral peaks provide direct experimental signatures of previously unseen complexes between the water molecules involved. The sensitivity of the method to intermolecular interactions has directly identified metastable cooperative behavior in one of the most extensively studied molecular species and promises new insights about many others. Because of their central importance in chemistry and biology, water molecules have been the subject of decades of intense spectroscopic investigations. Rotational spectroscopy of water vapor has yielded detailed information about the structure and dynamics of isolated water molecules, as well as water dimers and clusters. Nonlinear rotational spectroscopy in the terahertz regime has been developed recently to investigate the rotational dynamics of linear and symmetric-top molecules whose rotational energy levels are regularly spaced. However, it has not been applied to water or other lower-symmetry molecules with irregularly spaced levels. We report the use of recently developed two-dimensional (2D) terahertz rotational spectroscopy to observe high-order rotational coherences and correlations between rotational transitions that were previously unobservable. The results include two-quantum (2Q) peaks at frequencies that are shifted slightly from the sums of distinct rotational transitions on two different molecules. These results directly reveal the presence of previously unseen metastable water complexes with lifetimes of 100 ps or longer. Several such peaks observed at distinct 2Q frequencies indicate that the complexes have multiple preferred bimolecular geometries. Our results demonstrate the sensitivity of rotational correlations measured in 2D terahertz spectroscopy to molecular interactions and complexation in the gas phase.
Measurement of glomerular filtration rate reveals that subcapsular injection of shear‐thinning hyaluronic acid hydrogels does not impair kidney function in mice

Abstract The continued development of minimally invasive therapeutic implants, such as injectable hydrogels, necessitates the concurrent advancement of methods to best assess their biocompatibility via functional outcomes in vivo. Biomaterial implants have been studied to treat kidney disease; however, assessment of biocompatibility has been limited to biomarker and histological assessments. Techniques now exist to measure kidney function serially in vivo in murine studies via transcutaneous measurements of glomerular filtration rate (tGFR). In this study, adult male and female wild‐type BalbC mice underwent right unilateral nephrectomy. The remaining solitary left kidney was allowed 4 weeks to recover via compensatory hypertrophy, after which subcapsular injection of either saline or shear‐thinning hyaluronic acid hydrogel was performed. Serial tGFR measurements before and after treatment were used to assess the effect of hydrogel injection on kidney filtration. Urine and serum biomarkers of kidney function, and kidney histology were also quantified. Hydrogel injection did not affect kidney function, as assessed by tGFR. Results were in agreement with standard metrics of serum and urine biomarkers of injury as well as histological assessment of inflammation. The model developed provides a direct functional assessment of implant compatibility for the treatment of kidney disease and impact on kidney function.
Knowledge Distillation Classifier Generation Network for Zero-Shot Learning

In this article, we present a conceptually simple but effective framework called knowledge distillation classifier generation network (KDCGN) for zero-shot learning (ZSL), where the learning agent requires recognizing unseen classes that have no visual data for training. Different from the existing generative approaches that synthesize visual features for unseen classifiers’ learning, the proposed framework directly generates classifiers for unseen classes conditioned on the corresponding class-level semantics. To ensure the generated classifiers to be discriminative to the visual features, we borrow the knowledge distillation idea to both supervise the classifier generation and distill the knowledge with, respectively, the visual classifiers and soft targets trained from a traditional classification network. Under this framework, we develop two, respectively, strategies, i.e., class augmentation and semantics guidance, to facilitate the supervision process from the perspectives of improving visual classifiers. Specifically, the class augmentation strategy incorporates some additional categories to train the visual classifiers, which regularizes the visual classifier weights to be compact, under supervision of which the generated classifiers will be more discriminative. The semantics-guidance strategy encodes the class semantics into the visual classifiers, which would facilitate the supervision process by minimizing the differences between the generated and the real-visual classifiers. To evaluate the effectiveness of the proposed framework, we have conducted extensive experiments on five datasets in image classification, i.e., AwA1, AwA2, CUB, FLO, and APY. Experimental results show that the proposed approach performs best in the traditional ZSL task and achieves a significant performance improvement on four out of the five datasets in the generalized ZSL task.
Modeling of sorption and transport of cadmium, copper and chromium on an agricultural soil impacted by mining activities

The efficiency of an agricultural soil in retaining cadmium (Cd), copper (Cu), and chromium (Cr) was investigated using PHREEQC geochemical modeling code. The effects of initial concentration of the elements, bed depth and pH were investigated. The modeling was based on an initial calibration in which the appropriate column parameters were determined experimentally. Simulations using PHREEQC represented the natural environment and what will happen over a long period of time. The breakthrough curves were observed earlier at high concentrations (300 mg L−1) than for lower concentration (100 mg L−1) for Cd and Cu. Shorter bed length (5 cm) gave earlier breakthroughs compared to the longer bed length (10 cm) for Cd and Cu. The model showed that Cr3+ was oxidized to Cr6+, leading to the formation of HCrO4– and Cr2 O72– which were not favored for adsorption. The conversion of Cu2+ to Cu(OH)2 at basic pH reduced the adsorption of Cu. © 2018 American Institute of Chemical Engineers Environ Prog, 37: 1901–1907, 2018
Food-grade systems for delivery of DHA and EPA: Opportunities, fabrication, characterization and future perspectives

Abstract Docosahexaenoic acid (C22: 6n-3, DHA) and eicosapentaenoic acid (C20: 5n-3, EPA) have been shown to provide the opportunity to inhibit onset and escalation of chronic diseases. Nevertheless, their undesirable characteristics including poor water solubility, oxidation sensitivity, high melting point and unpleasant sensory attributes hinder their application in the food industry. In recent years, utilizing food-grade delivery systems to deliver DHA/EPA and improve their biological efficacy has emerged as an attractive approach with fascinating prospects. This review focuses on introducing potential delivery systems for DHA/EPA, including microemulsions, nanoemulsions, Pickering emulsions, hydrogels, lipid particles, oleogels, liposomes, microcapsules and micelles. The opportunities, fabrication and characterization of these delivery systems loaded with DHA/EPA are highlighted. Besides, food sources of DHA/EPA, their benefits to the human body and a series of challenges for effective utilization of DHA/EPA are discussed. Promising future research trends of food-grade systems for delivery of DHA/EPA are also presented. Conducting in vivo experiments, applying DHA/EPA-loaded delivery systems into real food, improving the applicability of such delivery systems in industrial production, co-encapsulating DHA/EPA with other substances, seeking measures to improve the performance of existing delivery systems and developing novel food-grade delivery systems inspired by other fields are various future considerations.
Socioeconomic status and depressive symptoms in older people with the mediation role of social support: A population‐based longitudinal study

Depressive symptoms has become an increasingly important public health issue, contributing to disability and disease burden around the world. Higher socioeconomic status (SES) has been found to be associated with lower prevalence of depression, but there are few studies about the older Chinese adults with long‐term follow up and rigorous prospective design. Meanwhile, there is little conclusive evidence about the mechanisms through which SES influences the onset of depressive symptoms.
A Technology-Based Training Tool for a Health Promotion and Sex Education Program for Justice-Involved Youth: Development and Usability Study

Background Justice-involved youth are especially vulnerable to mental health distress, substance misuse, and risky sexual activity, amplifying the need for evidence-based programs (EBPs). Yet, uptake of EBPs in the justice system is challenging because staff training is costly in time and effort. Hence, justice-involved youth experience increasing health disparities despite the availability of EBPs. Objective To counter these challenges, this study develops and pilot-tests a prototype of a technology-based training tool that teaches juvenile justice staff to deliver a uniquely tailored EBP for justice-involved youth—PHAT (Preventing HIV/AIDS Among Teens) Life. PHAT Life is a comprehensive sex education, mental health, and substance use EBP collaboratively designed and tested with guidance from key stakeholders and community members. The training tool addresses implementation barriers that impede uptake and sustainment of EBPs, including staff training and support and implementation costs. Methods Staff (n=11) from two juvenile justice settings pilot-tested the technology-based training tool, which included five modules. Participants completed measures of HIV and sexually transmitted infection (STI) knowledge, sex education confidence, and implementation outcomes such as training satisfaction, adoption, implementation, acceptability, appropriateness, and sustainability. PHAT Life trainers assessed fidelity through two activity role plays participants submitted upon completing the training modules. Results Participants demonstrated increases in HIV and STI knowledge (t10=3.07; P=.01), and were very satisfied (mean 4.42, SD 0.36) with the training tool and the PHAT Life curriculum. They believed that the training tool and curriculum could be adopted, implemented, and sustained within their settings as an appropriate and acceptable intervention and training. Conclusions Overall, the results from this pilot test demonstrate feasibility and support continuing efforts toward completing the training tool and evaluating it within a fully powered randomized controlled trial. Ultimately, this study will provide a scalable option for disseminating an EBP and offers a more cost-effective and sustainable way to train staff in an EBP.
Continuity and change: Violations of private patriarchal practices and domestic violence against rural wives in China

Abstract We investigated how violations of private patriarchal practices affect physical, psychological, and sexual violence against rural wives. The sample was drawn from nationally representative data from the third wave survey on the Social Status of Women in China. We found that (1) women making a similar income or more than their husbands were more likely to experience psychological and physical violence, respectively; (2) the wife’s migration experience increased her risk of psychological and sexual violence; (3) husband doing more housework decreased the odds of psychological violence, and equal distribution of housework reduced the likelihood of physical and psychological violence; (4) infertility or having given birth to only daughters was not associated with any form of violence; and (5) equal marital power decreased the wife’s likelihood to suffer three forms of violence. A balanced conjugal power structure may effectively prevent domestic violence against wives in societies with traditional and modern influences.
Mental images of nurses regarding COVID‐19: A metaphor study

Abstract Aim The purpose of this study is to understand the thoughts and perceptions of nurses caring for patients with COVID‐19 diagnosis about the COVID‐19 pandemic. Background The nursing profession, with the basic duty of caring for people, is among the professional groups most affected by COVID‐19. The high rate of transmission of COVID‐19, inadequate numbers of nurses for the increasing case numbers, inadequate personal protective equipment and increases in numbers of deaths negatively affected nurses, as they affected all health professionals. Methods This research is phenomenological research. A parallel mixed design including quantitative and qualitative research methods was used in the research. A sociodemographic data form and metaphor perception related to the COVID‐19 pandemic form were used for data collection. Responses of nurses to the open‐ended metaphor questions were evaluated with descriptive analysis and content analysis using the document investigation method. Results The research was completed with 227 nurses. Most of the nurses were employed in COVID‐19 wards (68.3%), were not diagnosed with COVID‐19 (65.2%) and had not lost any relatives to COVID‐19 (59.0%). It was determined that the answers given by the nurses comprised 151 metaphors collected in eight categories in total. Conclusion The results show that the metaphors mentioned by nurses involve hopelessness. Implications for Nursing Management This study reflects the ideas of nurses who are working with all their might during the COVID‐19 pandemic and reveals the psychological status of the nurses.
Synthesis and Characterization of New Phthalimides Containing 1, 2, 4-triazole and Imine Group

Khalid F.Ali Eman M.Hussain Rana S.Ahmed Dept. of Chemistry/ College of Education for pure sciences (Ibn –Al-Haitham)/ University of Baghdad Received in: 11 January 2015, Accepted in: 23 Fubrury2015 Abstract Several new derivatives of 1, 2, 4-triazoles linked to phthalimide moiety were synthesized through following multisteps. The first step involved preparation of 2, 2-diphthalimidyl ethanoic acid [2] via reaction of two moles of phthalimide with dichloroacetic acid. Treatment of the resulted imide with ethanol in the second step afforded 2,2-diphthalimidyl ester[3] which inturn was introduced in reaction with hydrazine hydrate in the third step ,producing the corresponding hydrazide derivative[4] . The synthesized hydazide was introduced in different synthetic paths including treatment with carbon disulfide in alkaline solution then with hydrazine hydrate to afford the new 1,2,4-triazole[10] . Reaction of compound [10] with different aldehydes produced a new Schiff base derivatives[11,12] . Reaction of derivative [4] with different aldehydes produced a new derivatives [5-8]. All the synthesized compounds have been characterized by melting points ,FTIR ,1HNMR(some of them ) and mass spectroscopy of compound [2]. Derivatives [5, 6, 7, 10, 11, 12] were tested against inhibition of E-coli, staphyloccus aureus and were all found to be active. Schem1,2 illustrated the reaction steps.
Comprehensive Proteomic Analysis of Colon Cancer Tissue Revealed the Reason for the Worse Prognosis of Right-Sided Colon Cancer and Mucinous Colon Cancer at the Protein Level

To clarify the molecular mechanisms underlying the poor prognosis of right-sided and mucinous colon cancer at the proteomic level. A tandem mass tag-proteomics approach was used to identify differentially expressed proteins (DEPs) in colon carcinoma tissues from different locations and with different histological types to reveal the underlying mechanisms of these differences at the protein level. In additional, the DEPs were analyzed using bioinformatics methods. The proteomics profiles among colon cancers with different tumor locations and histological types were dramatically distinguished. In terms of tumor locations, the right-sided carcinoma specific DEPs may promote the tumor progression via activating inflammation, metastasis associated pathways. When referring to histological types, the mucinous colon cancers perhaps increased the invasion and metastasis through distinct mechanisms in different tumor locations. For mucinous cancer located in right-sided colon, the mucinous specific DEPs were mainly associated with ECM-related remodeling and the IL-17 signal pathway. For mucinous cancer located in left-sided colon, the mucinous specific DEPs showed a strong relationship with ACE2/Ang-(1–7)/MasR axis. The proteomics profiles of colon cancers showed distinct differences related to locations and histological types. These results suggested a distinct mechanism underlying the diverse subtypes of colon cancers.
A new protocol for exercise testing in COPD; improved prediction algorithm for WMAX and validation of the endurance test in a placebo-controlled double bronchodilator study

Background: Two new protocols have been developed for bicycle exercise testing in chronic obstructive pulmonary disease (COPD) with an individualized cardiopulmonary exercise test (ICPET) and subsequent customized endurance test (CET), which generate less interindividual spread in endurance time compared with the standard endurance test. Main objectives of this study were to improve the prediction algorithm for WMAX for the ICPET and validate the CET by examining treatment effects on exercise performance of indacaterol/glycopyrronium (IND/GLY) compared with placebo. Methods: COPD patients, with forced expiratory volume in 1 s (FEV1) 40–80% predicted, were recruited. Pooled baseline data from two previous studies (n = 38) were used for the development of an improved WMAX prediction algorithm. Additional COPD patients (n = 14) were recruited and performed the ICPET, using the new prediction formula at visit 1. Prior to the CET at visits 2 and 3, they were randomized to a single dose of IND/GLY (110/50 µg) or placebo. Results: The improved multiple regression algorithm for WMAX includes diffusing capacity for carbon monoxide (DLCO), FEV1, sex, age and height and correlated to measured WMAX (R2 = 0.89 and slope = 0.89). Treatment with IND/GLY showed improvement in endurance time versus placebo, mean 113 s [95% confidence interval (CI): 6–220], p = 0.037, with more prominent effect in patients with FEV1 < 70% predicted. Conclusion: The two new protocols for ICPET (including the new improved algorithm) and CET were retested with consistent results. In addition, the CET showed a significant and clinically relevant prolongation of endurance time for IND/GLY versus placebo in a small number of patients.
Sick leave and return to work for patients with anxiety and depression: a longitudinal study of trajectories before, during and after work-focused treatment

Objectives Sick leave due to anxiety and depression is a heterogeneous process constituting a pressing public health issue. This longitudinal study aimed to identify sick leave trajectories among patients before, during and after work-focused treatment, in all 29.5 months. We then aimed to determine the background and clinical characteristics of these trajectory groups. Methods Background and clinical data were collected by patient self-report (N=619) in an observational study in a specialised mental healthcare clinic. Sick leave was recorded from national registry data. A latent growth mixture model identified trajectories. Multinomial logistic regression determined differences in background characteristics while a one-way analysis of variance (ANOVA) identified clinical differences. Results We identified three trajectories: The ‘Resilient’ group (47.7%) had low sick leave throughout the period. The two other groups (‘Recovery’, 31.8% and ‘High risk’, 20.5%) had similar pretreatment trajectories: lower sick leave one year prior which increased to high sick leave at the start of treatment. After treatment, the ‘Recovery’ group made an almost full return to work while the ‘High risk’ group remained at high sick leave. The two groups with high sick leave had more women and higher age compared with the ‘Resilient’ group. All groups had similar clinical scores at the start of treatment, but the ‘High risk’ groups had residual depressive symptoms at the end of treatment. Effect sizes for anxiety and depression were moderate or large for all groups, (Cohen’s d=0.74–1.81), and 87.2% of the total sample were fully working one year after treatment. Conclusion We found three subgroups with distinctly different trajectories. Female gender and higher age were associated with high sick leave at the start of treatment, while residual depressive symptoms at the end of treatment predicted continued sick leave. The study points to the possibility of improving patient outcomes in the future by stratifying and tailoring treatment to patient characteristics.
Rotate or Wrap? Interactive Visualisations of Cyclical Data on Cylindrical or Toroidal Topologies

In this paper, we report on a study of visual representations for cyclical data and the effect of interactively wrapping a bar chart `around its boundaries'. Compared to linear bar chart, polar (or radial) visualisations have the advantage that cyclical data can be presented continuously without mentally bridging the visual `cut' across the left-and-right boundaries. To investigate this hypothesis and to assess the effect the cut has on analysis performance, this paper presents results from a crowdsourced, controlled experiment with 72 participants comparing new continuous panning technique to linear bar charts (interactive wrapping). Our results show that bar charts with interactive wrapping lead to less errors compared to standard bar charts or polar charts. Inspired by these results, we generalise the concept of interactive wrapping to other visualisations for cyclical or relational data. We describe a design space based on the concept of one-dimensional wrapping and two-dimensional wrapping, linked to two common 3D topologies; cylinder and torus that can be used to metaphorically explain one- and two-dimensional wrapping. This design space suggests that interactive wrapping is widely applicable to many different data types.