ANALYSIS OF PRINCIPAL'S ACADEMIC SUPERVISION AND TEACHER'S WORK MOTIVATION TOWARD THE PERFORMANCE OF STATE ELEMENTARY SCHOOL TEACHERS IN UNDAAN DISTRICT KUDUS REGENCY

The objective of this study was to analyze the principal's academic supervision and teacher's work motivation toward the performance state elementary school teachers in Undaan District, Kudus Regency. This research is correlational research with a quantitative approach. The independent variables determined were the principal's academic supervision and teacher's work motivation, while the dependent variable observed was teacher performance. The study was conducted in 33 state elementary schools in Undaan district, Kudus Regency with a sample of 181 respondents. Data collection techniques in this study used interviews, questionnaires, and documentation. Data analysis was performed statistically using descriptive statistical analysis, prerequisite analysis, and final analysis for hypothesis testing. The results of the study found that (1) the principal's academic supervision has a significant effect of 10.10% toward the performance state elementary school teachers in Undaan District, Kudus Regency; (2) the teacher's work motivation has a significant effect of 37.40% toward the performance state elementary school teachers in Undaan District, Kudus Regency; and (3) the principal's academic supervision and teacher's work motivation has a significant effect of 38.40% toward the performance state elementary school teachers in Undaan District, Kudus Regency

Gamma-D crystallin gene (CRYGD) mutation causes autosomal dominant congenital cerulean cataracts

Congenital cataracts are a major cause of bilateral visual impairment in childhood. We mapped the gene responsible for autosomal congenital cerulean cataracts to chromosome 2q33-35 in a four generation family of Moroccan descent. The maximum lod score (7.19 at recombination fraction theta=0) was obtained for marker D2S2208 near the g-crystallin gene (CRYG) cluster. Sequencing of the coding regions of the CRYGA, B, C, and D genes showed the presence of a heterozygous C>A transversion in exon 2 of CRYGD that is associated with cataracts in this family. This mutation resulted in a proline to threonine substitution at amino acid 23 of the protein in the first of the four Greek key motifs that characterise this protein. We show that although the x ray crystallography modelling does not indicate any change of the backbone conformation, the mutation affects a region of the Greek key motif that is important for determining the topology of this protein fold. Our data suggest strongly that the proline to threonine substitution may alter the protein folding or decrease the thermodynamic stability or solubility of the protein. Furthermore, this is the first report of a mutation in this gene resulting in autosomal dominant congenital cerulean cataracts

Nanostructured La0.7Sr0.3MnO3 compounds for effective electromagnetic interference shielding in the X-band frequency range

We report a detailed study on the electromagnetic interference (EMI) shielding effectiveness (SE) properties in La0.7Sr0.3MnO3 (LSMO) nanomaterials. The samples were prepared by a solution chemistry (sol-gel) route at different sintering temperatures. The single-phase samples with grain sizes of 22 and 34 nm showed DC electrical conductivity variation from 0.65 to 13 S cm(-1) at room temperature. The application of a high magnetic field resulted in higher conductivity values. The electrical conductivity variation with temperature could be fitted with a variable range hopping mechanism in a limited temperature range. The variation of frequency dependent electromagnetic parameters measured at room temperature within the X-band region is consistent with the electrical conductivity behavior. The complex permittivity and permeability parameters were determined in line with the Nicolson-Ross-Weir algorithm. The LSMO nanomaterial samples showed EMI shielding effectiveness values of up to 19 dB (96.3% attenuation) over the X-band frequency range, making them suitable for microwave radiation shielding in commercial and defense appliances

Brain atrophy and white matter hyperintensities are independently associated with plasma neurofilament light chain in an Asian cohort of cognitively impaired patients with concomitant cerebral small vessel disease

Introduction: Plasma neurofilament light chain (NfL) is a potential biomarker for neurodegeneration in Alzheimer's disease (AD), ischemic stroke, and non-dementia cohorts with cerebral small vessel disease (CSVD). However, studies of AD in populations with high prevalence of concomitant CSVD to evaluate associations of brain atrophy, CSVD, and amyloid beta (Aβ) burden on plasma NfL are lacking. Methods: Associations were tested between plasma NfL and brain Aβ, medial temporal lobe atrophy (MTA) as well as neuroimaging features of CSVD, including white matter hyperintensities (WMH), lacunes, and cerebral microbleeds. Results: We found that participants with either MTA (defined as MTA score ≥2; neurodegeneration [N]+WMH−) or WMH (cut-off for log-transformed WMH volume at 50th percentile; N−WMH+) manifested increased plasma NfL levels. Participants with both pathologies (N+WMH+) showed the highest NfL compared to N+WMH−, N−WMH+, and N−WMH− individuals. Discussion: Plasma NfL has potential utility in stratifying individual and combined contributions of AD pathology and CSVD to cognitive impairment

Neoadjuvant Chemotherapy for Intrahepatic, Perihilar, and Distal Cholangiocarcinoma:a National Population-Based Comparative Cohort Study

IntroductionData supporting the utilization of neoadjuvant chemotherapy (NAC) in patients receiving resection for cholangiocarcinoma (CCA) remains uncertain. We aimed to determine whether NAC followed by resection improves long-term survival in intrahepatic (iCCA), perihilar (hCCA), and distal (dCCA) cholangiocarcinoma, analyzed separately.MethodsPatients undergoing surgery for iCCA, hCCA, and dCCA, receiving either none, NAC, or adjuvant chemotherapy (AC) from 2010 to 2016 were identified from the National Cancer Database (NCDB). Cox regression was performed to account for selection bias and to assess the impact of surgery alone (SA) versus either NAC or AC on overall survival (OS).ResultsThere were 9411 patients undergoing surgery for iCCA (n = 3772, 39.5%), hCCA (n = 1879, 20%), and dCCA (n = 3760, 40%). Of these, 10.6% (n = 399), 6.5% (n = 123), and 7.2% (n = 271) with iCCA, hCCA, and dCCA received NAC, respectively. On adjusted analyses, patients receiving NAC followed by surgery had significantly improved OS, compared to SA for iCCA (HR 0.75, CI95% 0.64-0.88, p < 0.001), hCCA (HR 0.72, CI95% 0.54-0.97, p = 0.033), and for dCCA (HR 0.65, CI95% 0.53-0.78, p < 0.001). However, sensitivity analyses demonstrated no differences in OS between NACs, followed by surgery or AC after surgery in iCCA (HR 1.19, CI95% 0.99-1.45, p = 0.068), hCCA (HR 0.83 CI95% 0.59-1.19, p = 0.311), and dCCA (HR 1.13 CI95% 0.91-1.41, p = 0.264).ConclusionsThis study associated NAC with increased OS for all CCA subtypes, even in patients with margin-negative and node-negative disease; however, no differences were found between NAC and AC. Our results highlight that a careful and interdisciplinary evaluation should be sought to consider NAC in CCA and warrant the need of larger studies to provide robust recommendation

Head-to-head comparison of amplified plasmonic exosome Aβ42 platform and single-molecule array immunoassay in a memory clinic cohort

Background: Various blood biomarkers reflecting brain amyloid‐β (Aβ) load have recently been proposed with promising results. However, to date, no comparative study among blood biomarkers has been reported. Our objective is to examine the diagnostic performance and cost effectiveness of three blood biomarkers on the same cohort. Methods: Using the same cohort (n=68), we compared the performance of the single‐molecule array (Simoa)‐Aβ40 and Aβ42, Aβ42/Aβ40 and the amplified plasmonic exosome (APEX)‐Aβ42 blood biomarkers using amyloid PET as the reference standard. We also determined the extent to which these blood tests can reduce the recruitment cost of clinical trials by identifying Amyloid positive (Aβ+) participants. Results: Compared to Simoa biomarkers, APEX‐Aβ42 showed significantly higher correlations with amyloid PET retention values and excellent diagnostic performance (sensitivity=100%, specificity=93.3%, AUC=0.995). When utilized for clinical trial recruitment, our simulation showed that pre‐screening with blood biomarkers followed by a confirmatory amyloid PET imaging would roughly half the cost (56.8% reduction for APEX‐Aβ42 and 48.6% for Simoa‐Aβ42/Aβ40) as compared to the situation where only PET imaging is used. Moreover, with a 100% sensitivity; APEX‐Aβ42 pre‐screening does not increase the required number of initial participants. Conclusions: With its high diagnostic performance, APEX is an ideal candidate for Aβ+ subject identification, monitoring, primary care screening, and could efficiently enrich clinical trials with Aβ+ participants while halving recruitment costs

Breast-cancer detection using blood-based infrared molecular fingerprints

BACKGROUND Breast cancer screening is currently predominantly based on mammography, tainted with the occurrence of both false positivity and false negativity, urging for innovative strategies, as effective detection of early-stage breast cancer bears the potential to reduce mortality. Here we report the results of a prospective pilot study on breast cancer detection using blood plasma analyzed by Fourier-transform infrared (FTIR) spectroscopy - a rapid, cost-effective technique with minimal sample volume requirements and potential to aid biomedical diagnostics. FTIR has the capacity to probe health phenotypes via the investigation of the full repertoire of molecular species within a sample at once, within a single measurement in a high-throughput manner. In this study, we take advantage of cross-molecular fingerprinting to probe for breast cancer detection. METHODS We compare two groups: 26 patients diagnosed with breast cancer to a same-sized group of age-matched healthy, asymptomatic female participants. Training with support-vector machines (SVM), we derive classification models that we test in a repeated 10-fold cross-validation over 10 times. In addition, we investigate spectral information responsible for BC identification using statistical significance testing. RESULTS Our models to detect breast cancer achieve an average overall performance of 0.79 in terms of area under the curve (AUC) of the receiver operating characteristic (ROC). In addition, we uncover a relationship between the effect size of the measured infrared fingerprints and the tumor progression. CONCLUSION This pilot study provides the foundation for further extending and evaluating blood-based infrared probing approach as a possible cross-molecular fingerprinting modality to tackle breast cancer detection and thus possibly contribute to the future of cancer screening