cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.23910300.v1
title: Supporting data for “Two Essays on the Interface of Finance,Operations, and Risk Management”

description: The data is for Chapter 2 (Essay One: How Does Risk Hedging Impact Operations? Insights from a Price-Setting Newsvendor Model) of the PhD Thesis. Two sets of data are used: one is financial data(raw data), and the other is operational data from AutoMFR(processed data) which a prominent automotive manufacturer. The financial asset in our context is the WTI crude oil, a primary global oil benchmark. The data source is the Federal Reserve Bank of St. Louis database. The financial data includes daily spot prices from 2010 to 2019. AutoMFR’s operational<br>data, including monthly sales volumes and manufacturer-suggested retail prices (MSRPs),was purchased from a commercial vendor specializing in automotive business data. We focus on two popular models manufactured by AutoMFR—Sport (fuel-inefficient, low MPG) and Compact (fuel-efficient, high MPG). The data for Sport ranges from January 2011 to December 2019, and the data for Compact ranges from January 2010 to May 2018. We implement the hedging model developed in this paper using real-world financial and automotive sales/price data sets. With the asset and demand models calibrated from data, we conduct a comprehensive numerical study11 to illustrate various aspects of the analytical results derived in Sections 2.4 and 2.5.
DOI: 10.25442/hku.23936868
title: Supporting data for thesis "A Study of Glucocerebrosidase Gene Variants and Enzyme Activity in Parkinson's Disease"

description: This is the data supporting my thesis "A Study of Glucocerebrosidase Gene Variants and Enzyme Activity in Parkinson's Disease". The dataset contains demographics, clinical data, and genetic sequencing data of a cohort of patients with Parkinson's disease.Parkinson's disease (PD) is the most prevalent movement disorder, characterised by motor features of bradykinesia, rigidity, tremor, and gait impairment. In addition to motor features, a combination of non-motor symptoms (NMS), such as anxiety, depression, cognitive impairment, hyposmia, urinary, and gastrointestinal symptoms may be present. Mutations in the glucocerebrosidase gene (<i>GBA</i>) are the most common genetic risk factor for PD and cause depletion of the activity of the lysosomal enzyme glucocerebrosidase (GCase). Current evidence shows that clinical features in PD patients with <i>GBA</i> mutations present worse clinical features in terms of earlier age of onset, more frequent cognitive impairment, and higher prevalence of (NMS).While GCase level is significantly reduced in <i>GBA</i> carriers, and <i>GBA</i> mutation carriers show worse clinical features, it is open to question if lower GCase activity is also associated with worse clinical outcomes in PD.The aims of the current study are:To explore the prevalence of <i>GBA</i> variantsTo compare the level of GCase enzymatic activity between PD patients and healthy controlsTo study the association among <i>GBA</i> genetic variants, GCase enzymatic activity and clinical features in PD patients in Hong Kong
DOI: 10.25442/hku.23936868.v1
title: Supporting data for thesis "A Study of Glucocerebrosidase Gene Variants and Enzyme Activity in Parkinson's Disease"

description: This is the data supporting my thesis "A Study of Glucocerebrosidase Gene Variants and Enzyme Activity in Parkinson's Disease". The dataset contains demographics, clinical data, and genetic sequencing data of a cohort of patients with Parkinson's disease.Parkinson's disease (PD) is the most prevalent movement disorder, characterised by motor features of bradykinesia, rigidity, tremor, and gait impairment. In addition to motor features, a combination of non-motor symptoms (NMS), such as anxiety, depression, cognitive impairment, hyposmia, urinary, and gastrointestinal symptoms may be present. Mutations in the glucocerebrosidase gene (<i>GBA</i>) are the most common genetic risk factor for PD and cause depletion of the activity of the lysosomal enzyme glucocerebrosidase (GCase). Current evidence shows that clinical features in PD patients with <i>GBA</i> mutations present worse clinical features in terms of earlier age of onset, more frequent cognitive impairment, and higher prevalence of (NMS).While GCase level is significantly reduced in <i>GBA</i> carriers, and <i>GBA</i> mutation carriers show worse clinical features, it is open to question if lower GCase activity is also associated with worse clinical outcomes in PD.The aims of the current study are:To explore the prevalence of <i>GBA</i> variantsTo compare the level of GCase enzymatic activity between PD patients and healthy controlsTo study the association among <i>GBA</i> genetic variants, GCase enzymatic activity and clinical features in PD patients in Hong Kong
DOI: 10.25442/hku.23949951
title: Supporting data for "How Chinese Judges Think: Decision Making in Grassroots Courts of Guangdong Province"

description: This data set includes the questionnaire on Adjudication Power in Judicial Reform of China, and the statistics of responses from 249 interviewees. This questionnaire aims to inquiry into three sample courts staff’s opinions regarding practice, supervision, management of adjudication power and their attitude towards judicial reform.This fieldwork was conducted in the period of 2019-2020 and does not reflect the change of opinions after this period.
DOI: 10.25442/hku.23949951.v1
title: Supporting data for "How Chinese Judges Think: Decision Making in Grassroots Courts of Guangdong Province"

description: This data set includes the questionnaire on Adjudication Power in Judicial Reform of China, and the statistics of responses from 249 interviewees. This questionnaire aims to inquiry into three sample courts staff’s opinions regarding practice, supervision, management of adjudication power and their attitude towards judicial reform.This fieldwork was conducted in the period of 2019-2020 and does not reflect the change of opinions after this period.
DOI: 10.25442/hku.23951967
title: supporting data for "Top electrode and interfacial engineering for high-performance photovoltaics"

description: The supporting dataset of the thesis named "Top electrode and interfacial engineering for high-performance photovoltaics". The related data contains SEM, TEM, and AFM images which is conducted during the research experiment. The morphology of the device and materials can directly prove the related statements in the thesis. The surface morphology of the AgNP films before and after annealing is characterized by scanning electron microscopy (SEM, Hitachi S4800 FEG), transmission electron microscopy (TEM, Philips Tecnai G2 20 S-TWIN), and atomic force microscopy (AFM, NT-MDT NTEGRA, taping mode).<br>
DOI: 10.25442/hku.23951967.v1
title: supporting data for "Top electrode and interfacial engineering for high-performance photovoltaics"

description: The supporting dataset of the thesis named "Top electrode and interfacial engineering for high-performance photovoltaics". The related data contains SEM, TEM, and AFM images which is conducted during the research experiment. The morphology of the device and materials can directly prove the related statements in the thesis. The surface morphology of the AgNP films before and after annealing is characterized by scanning electron microscopy (SEM, Hitachi S4800 FEG), transmission electron microscopy (TEM, Philips Tecnai G2 20 S-TWIN), and atomic force microscopy (AFM, NT-MDT NTEGRA, taping mode).<br>
DOI: 10.25442/hku.23962302
title: Supporting data of Long-read sequencing uncovers alternative transcript isoforms essential for hypoxic adaptation in hepatocellular carcinoma

description: This dataset contains the excel file with numerical data used to plot the indicated figures in a thesis about utilizing long-read sequencing to identify isoforms in liver cancer cell lines under hypoxic stress conditions. Dataset includes (1) cell proliferation data by cell counting on cells with perturbed gene expression or incubated in different stress conditions; (2) Quantification on differentially expressed genes and isoforms identified in long-read sequencing; (3) qPCR results in isoforms and splicing events validation; (4) Quantification on hypoxia-induced splicing events on previously published HCC cohort; (5) qPCR results of luciferase assay and polysome fractionation experiments; and (6) Quantification results of immunofluorescent staining in colocalization of with different organelles.
DOI: 10.25442/hku.23962302.v1
title: Supporting data of Long-read sequencing uncovers alternative transcript isoforms essential for hypoxic adaptation in hepatocellular carcinoma

description: This dataset contains the excel file with numerical data used to plot the indicated figures in a thesis about utilizing long-read sequencing to identify isoforms in liver cancer cell lines under hypoxic stress conditions. Dataset includes (1) cell proliferation data by cell counting on cells with perturbed gene expression or incubated in different stress conditions; (2) Quantification on differentially expressed genes and isoforms identified in long-read sequencing; (3) qPCR results in isoforms and splicing events validation; (4) Quantification on hypoxia-induced splicing events on previously published HCC cohort; (5) qPCR results of luciferase assay and polysome fractionation experiments; and (6) Quantification results of immunofluorescent staining in colocalization of with different organelles.
DOI: 10.25442/hku.23962767
title: <i>Supporting data for </i>"Development of Intranasal SARS-CoV-2 Vaccines Based on the Influenza Virus-Vector"

description: Immunization has been crucial in mitigating the burden of COVID-19 since the introduction of SARS-CoV-2 vaccines in late 2020. However, the emergence of viral variants has impacted the efficacy of current vaccines, as these variants exhibit significant immune evasion.Here, novel intranasally administered influenza virus-vectored SARS-CoV-2 vaccine candidates were developed and evaluated in animal models. Levels of neutralizing antibodies in the serum of mice and hamsters were measured by ELISA and a pseudovirus neutralization assay. Additionally, T cell responses were detected by flow. The virus titer in the lung and NT of challenged animals was measured by the TCID50 assay. All of this quantitative data is merged into an Excel table, and all quantitative data figures can be opened with Prism.The data show that these vaccines induced significant protection against both SARS-CoV-2 and influenza virus infection in animal models.The histopathological analysis of the lung tissues of the challenged animals was performed. All image data (manually produced images), including histopathology of experimental animals, gel/membrane pictures, and immunostaining (IF, IHC) images, is merged into a pdf file.In conclusion, SARS-CoV-2 vaccines using the DelNS1 influenza virus vector vaccine platform were developed and evaluated. These data indicate that the influenza-based viral vector platform has the potential to be utilized for the development of bivalent vaccines against both influenza and COVID-19 or other respiratory virus infections, including future emerging viruses.
DOI: 10.25442/hku.23962767.v1
title: <i>Supporting data for </i>"Development of Intranasal SARS-CoV-2 Vaccines Based on the Influenza Virus-Vector"

description: Immunization has been crucial in mitigating the burden of COVID-19 since the introduction of SARS-CoV-2 vaccines in late 2020. However, the emergence of viral variants has impacted the efficacy of current vaccines, as these variants exhibit significant immune evasion.Here, novel intranasally administered influenza virus-vectored SARS-CoV-2 vaccine candidates were developed and evaluated in animal models. Levels of neutralizing antibodies in the serum of mice and hamsters were measured by ELISA and a pseudovirus neutralization assay. Additionally, T cell responses were detected by flow. The virus titer in the lung and NT of challenged animals was measured by the TCID50 assay. All of this quantitative data is merged into an Excel table, and all quantitative data figures can be opened with Prism.The data show that these vaccines induced significant protection against both SARS-CoV-2 and influenza virus infection in animal models.The histopathological analysis of the lung tissues of the challenged animals was performed. All image data (manually produced images), including histopathology of experimental animals, gel/membrane pictures, and immunostaining (IF, IHC) images, is merged into a pdf file.In conclusion, SARS-CoV-2 vaccines using the DelNS1 influenza virus vector vaccine platform were developed and evaluated. These data indicate that the influenza-based viral vector platform has the potential to be utilized for the development of bivalent vaccines against both influenza and COVID-19 or other respiratory virus infections, including future emerging viruses.
DOI: 10.25442/hku.23939673
title: Supporting data for “Computational analysis of shotgun metagenomic data from human gut microbiota”.

description: This dataset contains raw source data and scripts written to generate figures for the thesis entitled "Supporting data for “Computational analysis of shotgun metagenomic data from human gut microbiota". This includes raw species abundance tables used for statistical analysis and methods evaluation, clinical patient records and blood/stool biochemical measurements. Files are separated by their chapter contribution. Chapter 2 files are related to methods comparison and evaluation in gut metagenomics species abundance estimation. Chapter 3 primarily contains raw patient clinical data and their gut microbial compositions for statistical analysis. Chapter 4 contains files related to the scripts utilized to investigate the phenomenon of read coverage bias in human gut metagenomic data.
DOI: 10.25442/hku.23939673.v1
title: Supporting data for “Computational analysis of shotgun metagenomic data from human gut microbiota”.

description: This dataset contains raw source data and scripts written to generate figures for the thesis entitled "Supporting data for “Computational analysis of shotgun metagenomic data from human gut microbiota". This includes raw species abundance tables used for statistical analysis and methods evaluation, clinical patient records and blood/stool biochemical measurements. Files are separated by their chapter contribution. Chapter 2 files are related to methods comparison and evaluation in gut metagenomics species abundance estimation. Chapter 3 primarily contains raw patient clinical data and their gut microbial compositions for statistical analysis. Chapter 4 contains files related to the scripts utilized to investigate the phenomenon of read coverage bias in human gut metagenomic data.
DOI: 10.25442/hku.23959074
title: <b>Supporting data for “Deciphering the molecular underpinnings for the superior performance of engineered SOX17 as an inducer and maintainer of stemness”</b>

description: An engineered SOX17 (eSOX) with three amino acid mutations inside the DNA binding domain (HMG box) has been previously created by our lab by directed evolution of reprogramming factors by cell selection and sequencing. This eSOX was termed SOX17FNV and has a much higher efficiency in inducing pluripotency than the wildly used Yamanaka factor SOX2 with unknown molecular bases. Thus, this project targets to uncover the mechanisms under the high potency of SOX17FNV, which will help to improve the transcription factor engineering.We showed that SOX17FNV could mediate the highly potent mouse pluripotency reprogramming and induced neural stem cell (iNSC) reprogramming with a DOX-inducible lentivirus system. Next, we showed that SOX17FNV could functionally substitute the endogenous SOX2 to maintain pluripotency with similar transcriptomes, chromatin organizations, and interactomes to SOX2 by RNA-sequencing, ATAC-sequencing, and CO-IP Mass spectrometry. RT-qPCR was used to individually check the gene expressions.Furthermore, we showed that the perturbation of the Wnt/beta-catenin signaling did not affect the SOX17FNV-induced cellular reprogramming using the DOX-inducible lentivirus system. We further showed that SOX17FNV and SOX17 could form liquid-liquid phase separation (LLPS) Mediator 1 more efficiently than SOX2 both <i>in vitro</i> and in cells. The EMSA results showed that the DNA preference of SOX17FNV was changed with a higher affinity to POU factors than SOX2 on canonical SoxOct motifs. Furthermore, the N and C terminus of SOX17 were subjected to a detailed sequence-structure-function analysis. We found the C-terminus of SOX17 was the key to highly efficient reprogramming and only several motifs were essential. By removing the nonessential regions, we thus defined a minimum SOX17FNV (miniSOX), which retains the potential but has only 70% length of the full-length protein. The miniSOX acted as SOX17FNV in pluripotency induction, maintenance, and self-organization examined by reprogramming assays, RNA-sequencing, RT-qPCR, and LLPS.
DOI: 10.25442/hku.23959074.v1
title: <b>Supporting data for “Deciphering the molecular underpinnings for the superior performance of engineered SOX17 as an inducer and maintainer of stemness”</b>

description: An engineered SOX17 (eSOX) with three amino acid mutations inside the DNA binding domain (HMG box) has been previously created by our lab by directed evolution of reprogramming factors by cell selection and sequencing. This eSOX was termed SOX17FNV and has a much higher efficiency in inducing pluripotency than the wildly used Yamanaka factor SOX2 with unknown molecular bases. Thus, this project targets to uncover the mechanisms under the high potency of SOX17FNV, which will help to improve the transcription factor engineering.We showed that SOX17FNV could mediate the highly potent mouse pluripotency reprogramming and induced neural stem cell (iNSC) reprogramming with a DOX-inducible lentivirus system. Next, we showed that SOX17FNV could functionally substitute the endogenous SOX2 to maintain pluripotency with similar transcriptomes, chromatin organizations, and interactomes to SOX2 by RNA-sequencing, ATAC-sequencing, and CO-IP Mass spectrometry. RT-qPCR was used to individually check the gene expressions.Furthermore, we showed that the perturbation of the Wnt/beta-catenin signaling did not affect the SOX17FNV-induced cellular reprogramming using the DOX-inducible lentivirus system. We further showed that SOX17FNV and SOX17 could form liquid-liquid phase separation (LLPS) Mediator 1 more efficiently than SOX2 both <i>in vitro</i> and in cells. The EMSA results showed that the DNA preference of SOX17FNV was changed with a higher affinity to POU factors than SOX2 on canonical SoxOct motifs. Furthermore, the N and C terminus of SOX17 were subjected to a detailed sequence-structure-function analysis. We found the C-terminus of SOX17 was the key to highly efficient reprogramming and only several motifs were essential. By removing the nonessential regions, we thus defined a minimum SOX17FNV (miniSOX), which retains the potential but has only 70% length of the full-length protein. The miniSOX acted as SOX17FNV in pluripotency induction, maintenance, and self-organization examined by reprogramming assays, RNA-sequencing, RT-qPCR, and LLPS.
DOI: 10.25442/hku.23978061
title: Supporting data for " Understanding phenotypic plasticity of phytoplankton to changing environments: Interaction and mechanism".

description: Description of the data uploaded:This dataset compressed the original data and analysis data (including R script). It is uploaded for fulfilling the partial requirements of the Ph.D. degree corresponding to the thesis submitted by Zhenzhen Li (Ph.D. candidate from the University of Hong Kong).Data files contain raw data (in .csv file), R script (in .text file), and reference genome sequencing and annotation for the species, Phaeodactylum tricornutum, downloaded from the Ensembl database (in the .text file).Content list with separate files related to each of the experimental chapters:Chapter 2: 1_raw data and R script for analyzing TPC of growth rate under varying light conditions; 2_raw data for carrying capacity (K) and photochemical efficiency (FvFm) and R script; 3_raw data and R script for the temperature gradient in experiment design.Chapter 3: raw data and R script for all the parameters under varying nitrogen conditions.Chapter 4: raw data and R script for the growth rate and curve under fluoxetine and temperature treatments.Chapter 5: 1_raw data and R script for the physiological parameters under fluoxetine and temperature treatments; 2_reference genome and annotation of p.t. downloaded from the Ensembl database; 3_raw gene counts and R script for differentially expressed genes (DEGs) analysis; 4_raw data of DEGs and R script for gene set enrichment of the gene ontology analysis (topGO).<br>
DOI: 10.25442/hku.23978061.v1
title: Supporting data for " Understanding phenotypic plasticity of phytoplankton to changing environments: Interaction and mechanism".

description: Description of the data uploaded:This dataset compressed the original data and analysis data (including R script). It is uploaded for fulfilling the partial requirements of the Ph.D. degree corresponding to the thesis submitted by Zhenzhen Li (Ph.D. candidate from the University of Hong Kong).Data files contain raw data (in .csv file), R script (in .text file), and reference genome sequencing and annotation for the species, Phaeodactylum tricornutum, downloaded from the Ensembl database (in the .text file).Content list with separate files related to each of the experimental chapters:Chapter 2: 1_raw data and R script for analyzing TPC of growth rate under varying light conditions; 2_raw data for carrying capacity (K) and photochemical efficiency (FvFm) and R script; 3_raw data and R script for the temperature gradient in experiment design.Chapter 3: raw data and R script for all the parameters under varying nitrogen conditions.Chapter 4: raw data and R script for the growth rate and curve under fluoxetine and temperature treatments.Chapter 5: 1_raw data and R script for the physiological parameters under fluoxetine and temperature treatments; 2_reference genome and annotation of p.t. downloaded from the Ensembl database; 3_raw gene counts and R script for differentially expressed genes (DEGs) analysis; 4_raw data of DEGs and R script for gene set enrichment of the gene ontology analysis (topGO).<br>
DOI: 10.25442/hku.23978910
title: Supporting data for “Out-of-focus 3D Alignment for Digital Holography”

description: The objective of this research is to assess the repeatability of alignment in actual images captured using a digital holographic system. The image data set consists of recordings of an object with varying translations in 3D space, where the desired motion is recorded using a manual tuning stage. To evaluate the repeatability, two pairs of images are selected for alignment, and their alignment quality is then compared against a ground truth reference.
DOI: 10.25442/hku.23978910.v1
title: Supporting data for “Out-of-focus 3D Alignment for Digital Holography”

description: The objective of this research is to assess the repeatability of alignment in actual images captured using a digital holographic system. The image data set consists of recordings of an object with varying translations in 3D space, where the desired motion is recorded using a manual tuning stage. To evaluate the repeatability, two pairs of images are selected for alignment, and their alignment quality is then compared against a ground truth reference.
DOI: 10.57841/casdc.0001948
title: 盾构滚刀刀圈材料的冲滑复合磨损性能研究
DOI: 10.57841/casdc.0001949
title: 碳纤维束-圆辊细观接触行为研究