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Environmental filtering unveils differences in bird community diversity patterns and their underlying mechanisms in the Qilian Mountains
No full text<p>我们采用了修正的随机性比(MST),标准化的平均功能和系统发育距离(SES。MPD,SES。MFD)和广义相异性模型(GDM)来研究社区组装的过程。此外,采用随机森林模型、GDM和广义加法模型(GAM)研究了祁连山分类学、功能、系统发育多样性及其β多样性的驱动因素。</p>
SCD and Menopausal Symptoms
No full text<p>This data pertains to the article titled "Cognitive Shadows in Perimenopause: Linking Subjective Cognitive Decline (SCD) to Menopausal Symptom Severity".</p>
Synchrotron-infrared microspectroscopy of live Leishmania major infected macrophages and isolated promastigotes and amastigotes
No full text<p>The prevalence of neglected tropical diseases (NTDs) are advancing at an alarming rate. The NTD Leishmaniasis is now endemic in over 90 tropical and sub-tropical low socioeconomic countries. Current diagnosis for this disease involves serological assessment of infected tissue by either light microscopy, anti-body tests or culturing via <em>in vitro</em> inoculation or <em>in vivo</em> animal inoculation. Furthermore, co-infection by other pathogens can make it difficult to accurately determine Leishmania infection with light microscopy. Herein, for the first time, we demonstrate the potential of combining synchrotron FTIR microspectroscopy with powerful discrimination tools such as partial least squares – discriminant analysis (PLS-DA), support vector machine – discriminant analysis (SVM-DA), and k-nearest neighbors (KNN), to characterize the parasitic forms of <em>Leishmania major</em> both isolated and within infected macrophages. For measurements performed on functional infected and uninfected macrophages in physiological solutions the sensitivity from PLS-DA, SVM-DA, KNN classification methods was found to be 0.923, 0.981, and 0.989, while the specificity was 0.897, 1.00, and 0.975, respectively. Cross-validated PLS-DA models on live amastigotes and promastigotes showed a sensitivity and specificity of 0.98 in the lipid region, whilst a specificity and sensitivity of 1.00 was achieved in the fingerprint region. The study demonstrates the potential of the FTIR technique to identify unique diagnostic bands and utilize them to generate machine learning models to predict leishmania infection.</p>
Near-infrared combined with mid-infrared spectroscopic detection of low-molecular weight proteins in human serum using glycine as a model protein
No full text<p>Serum is an important candidate in proteomics analysis as it potentially carries important markers on health status and disease progression. However, several important diagnostic markers found in the circulatory proteome and the low-molecular-weight (LMW) peptidome have become analytically challenging due to the high dynamic concentration range of the constituent protein/peptide species in serum. Herein, we propose a novel approach to improve the limit of detection (LoD) of LMW amino acid by combining mid-IR (MIR) and near – IR spectroscopic data using glycine as a model LMW analyte. This is the first example of near – IR spectroscopy applied to elucidate detection limit of LMW component in serum and moreover it is the first study of its kind to combine mid-infrared (25-2.5 mm) and near infrared (2500 – 800 nm) to detect an analyte in serum. First, we evaluated the prediction model performance individually with MIR (ATR-FTIR) and NIR spectroscopic methods using partial least squares regression (PLS-R) analysis. The LoD is found to be 0.26 mg/mL with ATR spectroscopy and 0.22 mg/mL with NIR spectroscopy. Secondly, we examined the ability of combined spectral regions to enhance detection limit of serum based LMW amino acid. Supervised extended wavelength PLS-R resulted in a root mean square error of prediction (RMSEP) value of 0.303 mg/ml and R<sup>2</sup> value of 0.999 over a concentration range of 0 – 50 mg/ml for glycine spiked in whole serum. The LoD is improved to 0.17 mg/mL from 0.26 mg/mL. Thus the combination of NIR and mid-IR spectroscopy can improve the limit of detection for a LMW compound in a complex serum matrix.</p>
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Insect herbivores and soil fertility drive variation in density-dependent seedling dynamics across a fragmented landscape
No full textPowerPoint-based quizzes in wave motion: Performance and experiences of students
No full textThe effect of PowerPoint Presentation–based (PPPb) quiz to the students’ scores has been rarely studied. It is the intention of this research to understand the effect of PPPb quiz to students score in wave motion and the students’ experiences under such a strategy. This research used a mixed approach: quasi-experimental to learn if scores gain was significant, and thematic analysis was used to know the experiences of the students. The results confirmed that PPPb quiz has indeed increased the scores of the students. Statistical analysis verified that this increase was significant. On the thematic analysis, students manifested comparing oral quiz to PPPb, caught their attention, and vivid communication. Therefore, the effect of PPPb was significant to the students because it positively impacted their scores in wave motion and promoted vivid communication among student