malecarrot4079

Fingerprint data of parents and children were taken directly from Lombok, Indonesia. This dataset was collected from 30 families consisting of father's, mother's, and child's fingerprints. The data were collected from one family to another, with and without a kinship relationship. It was collected with a U are U 4500 SDK Digital Persona and extracted using the feature extraction method from the Gray Level Co-occurrence Matrix (GLCM). This dataset of parent and child fingerprint data can be used in research to determine the texture similarities of parent and child fingerprints. https://www.selleckchem.com/products/i-bet-762.html Furthermore, it can also be used in DNA processing, pattern similarity, and verification.This article presents a dataset of raw microscopic images of the prefrontal cortex from wistar rat tissues, after an induced stroke, stained with NeuN antibody. The raw images were captured using a microscope equipped with a digital camera. The dataset is useful for testing techniques for the improvement, registration, and stitching to generate a high-resolution image with a full reconstruction of tissues. Besides, this dataset can be used to assess the neuronal brain after an ischemic event. The dataset contains 1370 microscope images with 20x magnification and 36 (Hierarchical Data Format version 5) hdf5 files with homography matrices between every pair of sequential images per tissue rows.Audit is an indispensable mechanism for developing and sustaining trust in accounting information and thus in efficient capital markets. In emerging markets, current practices require the auditor to be effective and efficient because users rely heavily and need the timely information certified by auditors. However, these practices do not meet expectations, and more research into the development and strengthening of audit practices is required. Given that audit effectiveness and efficiency are crucial components for most accounting/auditing research models and the lack of readily available data in well-known databases (e.g., DataStream?; OSIRIS; Audit Analytics), this dataset consists of longitudinal data for the variables most used in prior research for measuring the effectiveness and efficiency of audit. The dataset includes data for audit report lag, audit fees, auditor type, auditor tenure, and audit opinion for firms listed in the Omani capital market. It also details data for audit firms' names and industry affiliations to extract further related variables such as industry expertise, client importance, independence, and big4/second-tier audit firms analysis, which are measured from the researcher's perspective. The collection process identifies all listed firms for the period 2005-2019 (1,865 observations), with 1,117 observations in the final sample. Sources such as audit reports, corporate governance reports, the OSIRIS database, and the capital market website have been used to acquire the data. This dataset is valid for research into audit quality, audit efficiency, financial reporting quality, audit regulation changes, and external corporate governance.Classroom observation has played a role in documenting classroom practices to improve teaching and learning outcomes. This dataset allows teachers, researchers, and educational policymakers to reanalyze it depending on the interest variables and understand Rwanda's current physics education. The data was collected among qualified teachers from selected schools in Kigali city and rural eastern province in Rwanda. Classroom observation data were collected using the Reformed Teaching Observation Protocol (RTOP) and Classroom Observation Protocol for Undergraduate STEM (COPUS). This data article describes the collected data, research design undertaken, and methods used to collect and analyze them." The data collected are valid and reliable due to standard instruments used and consistent agreement between classroom observers. A step-by-step procedure on collecting and analyzing COPUS data and checking interobserver reliability has been detailed and informed in supplementary materials.The article presents a unique dataset on mental health of internal Migrant workers in India. The dataset was constructed during the pandemic when the entire nation was the victim of stringent measures to curtail the spread of Corona Virus in the form of travel restrictions and lockdowns. We collected this data in our pursuit to submit a paper in response to call for paper in the Journal titled "Migration and health". Non-availability of authentic data about the internal migrant workers triggered this effort to compile the data. We have recorded 1350 responses out of a 6897 Sample through snowball sampling method. Every respondent is said to be a referee for further driving of sample. The responses were collected between June 2 and August 30, 2020 through the telephonic interviews. Also, the consent of the respondents has been duly obtained for publication of the data without revealing their identity. The interview schedule was adopted by using Corona virus Anxiety Scale (CAS) which uses four dimension model namely Cognitive, Emotional, Behavioral and Psychological. The Interview schedule was originally designed in English but was later translated into three different languages after consulting the language experts. This article provides descriptive statistics of study variables along with socio economic factors. This dataset provides a significant platform for further research related to CAS and in assessment of mental health of vulnerable groups.Fructus Rosae Roxburghii (FRR) has been considered as edible and medicinal fruit possessing antiatherosclerotic effect [1], [2], [3], [4], [5], but the mechanism is still unclear. Hyperlipidemia (HLP) is the material basis for atherosclerosis (AS) formation [6,7]. In this study, total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL), lower high-density lipoprotein (HDL) and atherosclerotic index (ASI) in mice were analyzed under the action of FRR juice. Then differentially expressed proteins in liver were further analyzed by using TMT labeling and LC-MS/MS for better understanding the effect and molecular mechanism of FRR on diet-induced hyperlipidemic mice [8]. After the protein extraction and trypsin digestion, TMT labeling proteomic analysis were performed. The functions and KEGG signaling pathways of differentially expressed proteins were analyzed by bioinformatics methods. Hence, the potential antiatherosclerotic mechanism of FRR regulating blood lipids from protein level has great significance to explore new drug targets for AS.