Ukuran Organ Sistem Reproduksi Itik Jantan Yang Disuplementasi Probiotik Mep+ Berbagai Dosis Selama 30 Hari

Probiotics MEP+ can increase fowl weight and weft efficiency, therefore it is important to know probiotics MEP+ effect at different dosage toward reproduction aspect. This research aimed to examine duck reproduction organ size suplemented with probiotics MEP+ with different dosage within 30 days. This research used Completely Randomized Design (CRD) with 4 treatments with different dosages within 30 days which was without probiotic\u27s application or control (K), 0,75 ml/kg wefts (P1) dose, 1,5 ml/kg wefts (P2) dose, a n d 3 ml/kg wefts (P3) dose. Each treatment repeated 8 times. Total 40 ducks raised in floor dry cage system. At 31st day of treatment duck reproduction system organ was measured. Whole results show increase average data (±SD) for weight of both right and left testis, and liver weight with highly probiotics dosage it, however the analysis result statistic not significant (P>0,05) except weight of right left testis with duck weight or gonadosomatic indeks (GSI) were very significant (P<0,01) among all treatment at different dosages was compared control. The results is confirmed that probiotic\u27s MEP+ treatment with different dosages within 30 days gave no effect towards duck reproduction system organ size except to gonadosomatic indeks (GSI) male duck

Profil dan Learning Outcomes Lulusan Pendidikan Akuntansi sebagai Referensi Lptk dalam Menyiapkan Guru Akuntansi Bermutu

The objective of this research is to stipulate the profile and learning outcome of the graduates of the Study Program of Accounting Education, the Faculty of Teacher Training and Education, Sebelas Maret University. It is intended to help the Indonesian government to prepare the qualified teacher of Accounting subject matter according to the perceptions of alumni, lecturers, stakeholders, profession associations, and decision makers.The data sources of research were 96 students, 248 alumni, 15 lecturers, 15 stakeholders, Association of Accounting Educator Profession of Indonesia, and Chief of the Study Program of Accounting Education, Sebelas Maret University. The data of research were collected through observation, documentation, and FGD. They were analyzed by using the qualitative approach.The results of research show that (1) the profile of the graduates of the Study Program of Accounting Education includes the prospective teachers of Accounting subject matter for Vocational High Schools and Senior Secondary Schools who major in Introduction to Accounting and Finance, Number Processing/Spreadsheet, Banking, Accounting of Service and Trading Company, Financial Accounting, Accounting Computer, Accounting of Manufacturing Company, and Tax Administration; prospective Accounting instructors at non-formal education programs;; edupreneurs in the field of accounting and finance; junior researchers in the field of accounting and finance; and assistant accountants, and (2) the learning outcome expected includes attitude, knowledge, general and special skills, characters, and transferable soft skills which are relevant with the demands of the general public

Hierarchical linear regression analyses results of depressive symptoms.

<p>Hierarchical linear regression analyses results of depressive symptoms.</p

Demographic and clinical characteristics of subjects and the distributions of depressive and anxiety symptoms among bladder cancer patients.

<p>Demographic and clinical characteristics of subjects and the distributions of depressive and anxiety symptoms among bladder cancer patients.</p

Checking normality of model errors under additive distortion measurement errors

We study the goodness-of-fit tests for checking the normality of the model errors under the additive distortion measurement error settings. Neither the response variable nor the covariates can be directly observed but are distorted in additive fashions by an observed confounding variable. The proposed test statistics is based on logarithmic transformed variables with residuals and a particular choice of the kth power covariance-based estimator. The proposed test statistics has three advantages. Firstly, the asymptotic null distribution of the test statistics are obtained with known asymptotic variance. Secondly, the test statistic tests are irrelevant to the model. Thirdly, the proposed test statistics automatically eliminate the additive distortion effects involved in the response and covariates. The simulation studies show the proposed test statistics can be used to check normality when the sample size is very large. A real example is analysed to illustrate its practical usage.</p

DataSheet_2_Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study.pdf

BackgroundThe most commonly acknowledged non-scarring alopecia are androgenetic alopecia (AGA) and alopecia areata (AA). Previous studies have revealed various risk factors associated with alopecia. However, the relationship between leukocyte telomere length (LTL) and non-scarring alopecia remains unclear.MethodsA two-sample Mendelian randomization (MR) analysis was performed to evaluate the causality between genetically predicted LTL and the risk of non-scarring alopecia. MR analyses were performed using the inverse variance-weighted (IVW) method and complemented with other MR methods.ResultsThe summary statistics of the genome-wide association studies (GWAS) for AGA and AA were obtained from the FinnGen biobank, which included 119,185 and 211,428 individuals, respectively. A total of 126 single nucleotide polymorphisms (SNPs) with genome-wide significance were selected as the instrumental variables for LTL. The MR analyses suggested a causal relationship between LTL and AGA, and the risk of AGA increased by 3.19 times as the genetically predicted LTL was shortened by one standard deviation in log transformed form under the IVW method (OR = 4.19, 95% CI = 1.20–14.61, p = 0.024). The other MR methods also demonstrated a similar trend of the effect of LTL on AGA. There was no causal relationship between LTL and AA (p > 0.05). Sensitivity analyses further demonstrated that the current results were less likely to be affected by confounders and bias.ConclusionOur results suggested a potential causal relationship between LTL and AGA, and shortened LTL was associated with an increased risk of AGA.</p

DataSheet_3_Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study.pdf

BackgroundThe most commonly acknowledged non-scarring alopecia are androgenetic alopecia (AGA) and alopecia areata (AA). Previous studies have revealed various risk factors associated with alopecia. However, the relationship between leukocyte telomere length (LTL) and non-scarring alopecia remains unclear.MethodsA two-sample Mendelian randomization (MR) analysis was performed to evaluate the causality between genetically predicted LTL and the risk of non-scarring alopecia. MR analyses were performed using the inverse variance-weighted (IVW) method and complemented with other MR methods.ResultsThe summary statistics of the genome-wide association studies (GWAS) for AGA and AA were obtained from the FinnGen biobank, which included 119,185 and 211,428 individuals, respectively. A total of 126 single nucleotide polymorphisms (SNPs) with genome-wide significance were selected as the instrumental variables for LTL. The MR analyses suggested a causal relationship between LTL and AGA, and the risk of AGA increased by 3.19 times as the genetically predicted LTL was shortened by one standard deviation in log transformed form under the IVW method (OR = 4.19, 95% CI = 1.20–14.61, p = 0.024). The other MR methods also demonstrated a similar trend of the effect of LTL on AGA. There was no causal relationship between LTL and AA (p > 0.05). Sensitivity analyses further demonstrated that the current results were less likely to be affected by confounders and bias.ConclusionOur results suggested a potential causal relationship between LTL and AGA, and shortened LTL was associated with an increased risk of AGA.</p

DataSheet_1_Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study.pdf

BackgroundThe most commonly acknowledged non-scarring alopecia are androgenetic alopecia (AGA) and alopecia areata (AA). Previous studies have revealed various risk factors associated with alopecia. However, the relationship between leukocyte telomere length (LTL) and non-scarring alopecia remains unclear.MethodsA two-sample Mendelian randomization (MR) analysis was performed to evaluate the causality between genetically predicted LTL and the risk of non-scarring alopecia. MR analyses were performed using the inverse variance-weighted (IVW) method and complemented with other MR methods.ResultsThe summary statistics of the genome-wide association studies (GWAS) for AGA and AA were obtained from the FinnGen biobank, which included 119,185 and 211,428 individuals, respectively. A total of 126 single nucleotide polymorphisms (SNPs) with genome-wide significance were selected as the instrumental variables for LTL. The MR analyses suggested a causal relationship between LTL and AGA, and the risk of AGA increased by 3.19 times as the genetically predicted LTL was shortened by one standard deviation in log transformed form under the IVW method (OR = 4.19, 95% CI = 1.20–14.61, p = 0.024). The other MR methods also demonstrated a similar trend of the effect of LTL on AGA. There was no causal relationship between LTL and AA (p > 0.05). Sensitivity analyses further demonstrated that the current results were less likely to be affected by confounders and bias.ConclusionOur results suggested a potential causal relationship between LTL and AGA, and shortened LTL was associated with an increased risk of AGA.</p

Homogeneous Entropy Catalytic-Driven DNA Hydrogel as Strong Signal Blocker for Highly Sensitive Electrochemical Detection of Platelet-Derived Growth Factor

In this work, an elegantly designed electrochemical biosensor was constructed for platelet-derived growth factor (PDGF) detection based on homogeneous entropy catalytic-induced DNA hydrogel as a strong signal blocker to significantly inhibit the electrochemical signal of g-C₃N₄@Au@Fc-NH₂ nanomaterials as signal tag. First, the good film-forming nanomaterials of g-C₃N₄@Au@Fc-NH₂, containing large numbers of Fc-NH₂ with low resistance and high electric conductivity, were directly immobilized on an electrode surface to provide a strong original electrochemical signal, then the DNA hydrogel blocker formed by target-induced homogeneous entropy catalytic amplification was captured onto the modified electrode surface for significantly reducing the electrochemical signal, in which both the efficient conversion of the single protein to large numbers of DNA strands and the amplification of cycling products could doubly improve the detection sensitivity. As a result, the detection limit could reach 3.5 fM at the range of 0.01 pM to 10 nM. The present strategy by integration of a strong signal blocker to sharply reduce the electrochemical signal of signal tag initiates a new thought to realize the highly sensitive detection of biomarkers and possesses potential applications in clinical diagnosis, sensing, and other related subjects

Table_1_Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study.docx

BackgroundThe most commonly acknowledged non-scarring alopecia are androgenetic alopecia (AGA) and alopecia areata (AA). Previous studies have revealed various risk factors associated with alopecia. However, the relationship between leukocyte telomere length (LTL) and non-scarring alopecia remains unclear.MethodsA two-sample Mendelian randomization (MR) analysis was performed to evaluate the causality between genetically predicted LTL and the risk of non-scarring alopecia. MR analyses were performed using the inverse variance-weighted (IVW) method and complemented with other MR methods.ResultsThe summary statistics of the genome-wide association studies (GWAS) for AGA and AA were obtained from the FinnGen biobank, which included 119,185 and 211,428 individuals, respectively. A total of 126 single nucleotide polymorphisms (SNPs) with genome-wide significance were selected as the instrumental variables for LTL. The MR analyses suggested a causal relationship between LTL and AGA, and the risk of AGA increased by 3.19 times as the genetically predicted LTL was shortened by one standard deviation in log transformed form under the IVW method (OR = 4.19, 95% CI = 1.20–14.61, p = 0.024). The other MR methods also demonstrated a similar trend of the effect of LTL on AGA. There was no causal relationship between LTL and AA (p > 0.05). Sensitivity analyses further demonstrated that the current results were less likely to be affected by confounders and bias.ConclusionOur results suggested a potential causal relationship between LTL and AGA, and shortened LTL was associated with an increased risk of AGA.</p