Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Pro Collagen III as Non-Invasive Biomarker for Diagnosis of Non-Alcoholic Steatohepatitis

Background: One of the most frequent causes of chronic liver disease globally is non-alcoholic fatty liver disease (NAFLD). It is believed that NAFLD is the hepatic expression of metabolic syndrome. Historically, NAFLD was thought to be a rather benign liver condition. Hepatocellular carcinoma, cirrhosis, and liver fibrosis can develop in some NAFLD patients. Consequently, it is crucial from a clinical standpoint to accurately diagnose and stage NAFLD patients. Objective: This study aimed to evaluate the performance of pro collagen III as a NASH-Fibrosis biomarker within the optimum diagnostic context of usage in comparison with FIB-4. Patients and Methods: This study was a case-control study that was conducted at Gastroenterology and Hepatology Outpatient Clinic at Damas Centre for Liver and GIT. This study was performed on 56 Egyptian patients who were ≥ 18 years of age and are overweight with Body Mass Index ≥ 25 and diagnosed with NAFLD by US. They were divided into 2 groups: Group 1 included 28 healthy individuals diagnosed with NAFLD by US without any evidence of hepatitis and group II that included 28 patients with NASH diagnosed by elevated liver enzymes. Results: Patients with non-alcoholic steatohepatitis (NASH) have relatively low platelet count in comparison with NAFLD patients. Patients with NASH had Higher AST & ALT levels than NAFLD patients. FIB-4 was higher in NASH group than NAFLD group. Pro collagen III level was higher in patients with NASH than patients with NAFLD. Pro collagen III was a significant discriminator of NAFLD & NASH. Pro collagen III correlates with the grades of histological steatohepatitis, and stage of fibrosis. Pro collagen III can diagnose steatohepatitis at cut-off 9.57 with sensitivity & specificity was 92.9% & 92.9% respectively. Conclusion: Pro collagen III is a sensitive biomarker to discriminate between NAFLD & NASH. Pro collagen III level correlate positively with BMI, AST & ALT. Pro collagen III level correlate with grades of histological steatohepatitis and grades of fibrosis.
Predicting gully densities at sub‐continental scales: a case study for the Horn of Africa

Despite its environmental and scientific significance, predicting gully erosion remains problematic. This is especially so in strongly contrasting and degraded regions such as the Horn of Africa. Machine learning algorithms such as random forests (RF) offer great potential to deal with the complex, often non‐linear, nature of factors controlling gully erosion. Nonetheless, their applicability at regional to continental scales remains largely untested. Moreover, such algorithms require large amounts of observations for model training and testing. Collecting such data remains an important bottleneck.
Evolving dynamics of insect frass fertilizer for sustainable nematode management and potato production

Potato production faces major challenges from inadequate soil fertility, and nematode infestation, yet synthetic fertilizers and nematicides are costly and harmful to the environment. This study explored the potential of chitin-fortified black soldier fly-composted organic fertilizer (BSFCOF) as a multipurpose organic fertilizer amendment for enhancing potato yield and suppressing potato cyst nematodes (PCN). The BSFCOF was applied at a rate equivalent to 150 kg N ha-1 and fortified with chitin from black soldier fly pupal exuviae at inclusion rates equivalent to 0.5, 1, 2, 3, 4 and 5% chitin. Data were collected on potato growth characteristics, PCN population densities, and soil chemical properties for two growing cycles. Results showed that chitin fortified BSFCOF significantly improved potato growth parameters, chlorophyll concentration, marketable tuber yield and number of marketable tubers. The marketable tuber yield achieved using chitin-fortified BSFCOF was 70 – 362%, and 69 – 238% higher than the values achieved using unfertilized soil during the first and second growing cycles, respectively. Soil amendment with chitin-fortified BSFCOF significantly reduced the number of cysts per 200 g soil-1, number of eggs and J2 per cyst-1, eggs g-1 soil and reproduction rate by 32 – 87%, 9 – 92%, 31– 98% and 31 – 98%, respectively. The PCN suppression increased with chitin inclusion rates. There were significantly higher values for soil pH, ammonium nitrogen, nitrate nitrogen, available phosphorus, calcium, magnesium, potassium, and cation exchange capacity in soil amended with BSFCOF compared to unamended soil. This study demonstrates that BSFCOF fortified with 5% chitin is an effective soil enhancer with multiple benefits, including improved soil fertility, potato performance, and effective management of potato cyst nematodes.
Impact of Corn Starch Molecular Structures on Texture, Water Dynamics, Microstructure, and Protein Structure in Silver Carp (Hypophthalmichthys molitrix) Surimi Gel

This study systematically investigates the impact of corn starch molecular structures on the quality attributes of surimi gel products. Employing molecular analyses to characterize corn starch, three amylopectin fractions (A, B1, and B2), categorized by the degree of polymerization ranges (6 < X ≤ 12, 12 < X ≤ 24, and 24 < X ≤ 36, respectively) were specifically focused on. The surimi gel quality was comprehensively assessed through texture profile analysis, nuclear magnetic resonance, scanning electron microscopy, stained section analysis, and Fourier transform infrared spectroscopy. Results indicated the substantial volume expansion of corn amylopectin upon water absorption, effectively occupying the surimi gel matrix and fostering the development of a more densely packed protein network. Starch gels with higher proportions of A, B1, and B2 exhibited improved hardness, chewiness, and bound water content in the resultant surimi gels. The weight-average molecular weight and peak molecular weight of corn starch showed a strong positive correlation with surimi gel hardness and chewiness. Notably, the secondary structure of proteins within the surimi gel was found to be independent of corn starch’s molecular structure. This study provides valuable insights for optimizing formulations in surimi gel products, emphasizing the significance of elevated A, B1, and B2 content in corn starch as an optimal choice for crafting dense, chewy, water-retaining surimi gels.
Analysing the Role of Money Supply on Inflation: A case Study of Pakistan

Monetary tools, money supply, and exchange rates play a significant role in a country's growth and substantially impact its development trajectory. In order to address this issue, the study empirically examines the relationship between money supply, exchange rate, and Inflation in Pakistan. The study utilized annual time series data from 1990-2020 from the State Bank of Pakistan (SBP) and World Development Indicators (WDI). To avoid spurious results, the Phillips-Perron unit root test and the Augmented Dickey-Fuller test were applied to check the data stationarity, which was integrated at different orders of integration. The exchange rate and inflation are stationary at the 1st difference I(1), while the money supply is stationary at the same level I(0). The Autoregressive Distributed Lag (ARDL) model analyzes the variables' short- and long-term relationships. The study confirms the presence of both short-run and long-run relationships among the variables. The results show that money supply and exchange rates significantly impact inflation positively. A negative and significant error correction term (ECT) indicates strong equilibrium convergence among variables. The upper and lower bounds values are below the F-statistics, indicating a significant long-term association between the statistically significant variables. The research contributes to current knowledge by presenting new awareness into the dynamic relations among money supply, exchange rate, and inflation. Furthermore, this study will help to design monetary policy to achieve specific targets to control inflation and volatility in exchange rates. It will help regulators and policymakers stabilize financial markets and the supply and demand of products, prevent pricing mechanisms and import exports, and increase the balance of payment accounts.
Implications of ocean color in the upper water thermal structure at NINO3.4 region: a sensitivity study for optical algorithms and ocean color variabilities

Chlorophyll a (Chl-a) has been the most commonly used biomass metric in biological oceanographic processes. Although limited to two-dimensional surfaces, remote-sensing tools have been successfully providing the most recent state of marine phytoplankton biomass to better understand bottom-up processes initiating daily marine material cycles. In this exercise, ocean color products with various time-scales, derived from Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), were used to investigate how their bio-optical properties affect the upper-ocean thermal structure in a global ocean modeling framework. This study used a ¼-degree Hybrid Coordinate Ocean Model forced by hourly atmospheric fluxes from the Climate Forecast System Reanalysis at National Oceanic Atmospheric Administration. Three numerical experiments were prepared by combining two ocean color products – downwelling diffuse attenuation coefficients (KdPAR) and chlorophyll a (Chl-a) – and two shortwave radiant flux algorithms. These three runs are: (1) KparCLM, based on a 13-year long-term climatological KdPAR derived from SeaWiFS; (2) ChlaCLM, based on a 13-year long-term Chl-a derived from SeaWiFS; and (3) ChlaID, which uses the inter-annual time-series of monthly-mean SeaWiFS Chl-a product. The KparCLM experiment uses a Jerlov-like two-band scheme; whereas, both ChlaCLM and ChlaID use a two-band scheme that considers inherent (absorption (a) and backscattering (bb) coefficients) and apparent optical properties (downwelling attenuation coefficient (Kd) and solar zenith angle (θ, varying 0–60°)). It is found that algorithmic differences in optical parameterizations have a bigger impact on the simulated temperatures in the upper-100 m of the eastern equatorial Pacific, NINO3.4 region, than other parts of the ocean. Overall, the KdPAR-based approach estimated relatively low surface temperatures compared to those estimated from the chlorophyll-based method. In specific, this cold bias, pronounced in the upper 20–30 m, is speculated to be due to optical characteristics of the algorithm and KdPAR products, or due to nonlinear hydrodynamical processes involving displacement of mixed-layer depth. Comparisons between each experiment against Global Ocean Data Assimilation System (GODAS; Behringer and Xue 2004) analyses find that KparCLM-based simulations have lower mean differences and variabilities with higher cross-correlation coefficients compared to ChlaCLM- and ChlaID-based experiments.
A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives

The growth of world population has fueled environmental, legal, and social concerns, making governments and companies attempt to mitigate the environmental and social implications stemming from supply chain operations. The state-run Environmental Protection Agency has initially offered financial incentives (subsidies) meant to encourage supply chain managers to use cleaner technologies in order to minimize pollution. In today’s competitive markets, using green technologies remains vital. In the present project, we have examined a class of closed-loop supply chain competitive facility location-routing problems. According to the framework of the competition, one of the players, called the Leader, opens its facilities first. The second player, called the Follower, makes its decision when Leader’s location is known. Afterwards, each customer chooses an open facility based on some preference huff rules before returning the benefits to one of the two companies. The follower, under the influence of the leader’s decisions, performs the best reaction in order to obtain the maximum capture of the market. So, a bilevel mixed-integer linear programming model is formulated. The objective function at both levels includes market capture profit, fixed and operating costs, and financial incentives. A metaheuristic quantum binary particle swarm optimization (PSO) is developed via Benders decomposition algorithm to solve the proposed model. To evaluate the convergence rate and solution quality, the method is applied to some random test instances generated in the literature. The computational results indicate that the proposed method is capable of efficiently solving the model.
Pluripotent Stem Cells as a Preclinical Cellular Model for Studying Hereditary Spastic Paraplegias

Hereditary spastic paraplegias (HSPs) comprise a family of degenerative diseases mostly hitting descending axons of corticospinal neurons. Depending on the gene and mutation involved, the disease could present as a pure form with limb spasticity, or a complex form associated with cerebellar and/or cortical signs such as ataxia, dysarthria, epilepsy, and intellectual disability. The progressive nature of HSPs invariably leads patients to require walking canes or wheelchairs over time. Despite several attempts to ameliorate the life quality of patients that have been tested, current therapeutical approaches are just symptomatic, as no cure is available. Progress in research in the last two decades has identified a vast number of genes involved in HSP etiology, using cellular and animal models generated on purpose. Although unanimously considered invaluable tools for basic research, those systems are rarely predictive for the establishment of a therapeutic approach. The advent of induced pluripotent stem (iPS) cells allowed instead the direct study of morphological and molecular properties of the patient’s affected neurons generated upon in vitro differentiation. In this review, we revisited all the present literature recently published regarding the use of iPS cells to differentiate HSP patient-specific neurons. Most studies have defined patient-derived neurons as a reliable model to faithfully mimic HSP in vitro, discovering original findings through immunological and –omics approaches, and providing a platform to screen novel or repurposed drugs. Thereby, one of the biggest hopes of current HSP research regards the use of patient-derived iPS cells to expand basic knowledge on the disease, while simultaneously establishing new therapeutic treatments for both generalized and personalized approaches in daily medical practice.
Rheumatoid Arthritis and Risk of Atrial Fibrillation: Results from Pooled Cohort Studies and Mendelian Randomization Analysis

Observational research has indicated that individuals diagnosed with rheumatoid arthritis (RA) have an elevated likelihood of developing atrial fibrillation (AF). Herein, we performed meta-analysis and Mendelian randomization (MR) analysis to explore the correlation and potential causal relationship between RA and AF. We searched PubMed, Embase, and Web of Science for cohort studies comparing AF risk among participants with and without RA. Quantitative synthesis of the adjusted risk ratio (RR) or hazard ratio was performed with the random-effects model. RA and AF were studied with two-sample MR analysis with the random-effects inverse variance weighted method. Patients with RA had a higher risk of AF than participants without RA [RR = 1.32, 95% confidence interval (CI): 1.23–1.43, P < 0.0001]. Genetically predicted RA was not associated with a significantly elevated risk of AF (odds ratio = 1.009, 95% CI: 0.986–1.032, P = 0.449). After adjustment for confounding factors in multifactorial MR, RA and AF still showed no correlation. Sensitivity analyses yielded similar results, thus indicating the robustness of the causal association. Overall, RA was associated with elevated risk of AF in our meta-analysis. However, genetically predicted RA may not be causal.
Enhancing Cognitive Function in Older Adults through Processing Speed Training: Implications for Cognitive Health Awareness

It may be possible to enhance adults’ cognitive health and promote healthy aging through processing speed training using the Useful Field of View (UFOV) related activities and software. This study investigated the impact of utilizing UFOV on processing speed improvement in older adults in response to the growing global attention on cognitive health and aging issues. In this quasi-experimental study, 22 individuals (mean age ± SD = 71.9 ± 4.8) participated in the experimental group, and 20 community-based participants (mean age ± SD = 67.1 ± 4.8) were in the control group. The intervention involved ten sessions of UFOV training, each lasting 60 min, conducted twice a week for the experimental group while the control group engaged in volunteer service activities. Measurements of Counting Back, Fabrica, Double-Decision, and Hawkeye were administered to all participants before and after the intervention. The results showed significant improvements in the experimental group for the four measurements (p ≤ 0.01, 0.05, 0.001, 0.001) and non-significant gains in the control group (p ≥ 0.05) for all. Furthermore, mixed repeated-measures ANOVA analysis, with time 1 pre-test measures as the covariate, revealed significant interaction effects between time and group for all measurement indicators (p = 0.05, 0.01, 0.05) except for Fabrica (p > 0.05). In conclusion, these findings support the effectiveness of UFOV cognitive training interventions in enhancing specific cognitive abilities.
Using Dssat-Ceres Maize Model to Estimate District-Level Yields in Northern Ghana

v TABLE OF CONTENTS . vi LIST OF TABLES . xi LIST OF FIGURES . xii CHAPTER ONE . 1 1.0 INTRODUCTION . 1 1.1 Background . 1 1.2 Problem Statement . 2 1.3 General Objective . 4 CHAPTER TWO . 5 2.0 LITERATURE REVIEW . 5 2.1 Evolution of Maize . 5 2.2 Maize as a Staple Food in Ghana . 5 2.2.1 Uses of Maize in Ghana. 6 2.2.2 Acreage and Yields . 6 2.2. 3 Production Systems . 7 University of Ghana http://ugspace.ug. edu.gh
The Safety Profile of Common COVID-19 Vaccines in Patients With Multiple Sclerosis

Background and objective Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). In light of the COVID-19 pandemic that emerged in late 2019, the World Health Organization (WHO) has endorsed mass immunization to enhance the population’s immunity against the virus. However, certain concerns have been raised about the safety of COVID-19 vaccines among patients with autoimmune disorders, including those with multiple sclerosis (MS). Further research is required to address these concerns and to gain deeper insights into the possible complications of COVID-19 vaccines among MS patients. This study aimed to assess the side effects of COVID-19 vaccines among MS patients. Methods An observational cross-sectional study was conducted between May and November 2023 at the National Guard Hospital, Jeddah, Saudi Arabia. All MS patients enrolled in our local registry system and provided phone numbers were included in the study. A total of 208 MS patients were surveyed via phone interviews, and data were collected regarding their demographics, MS history, COVID-19 history, SARS-CoV-2 vaccination status, and their exposure to disease-modifying therapies (DMTs). All results were analyzed using Stata software. Statistical significance was set at a CI of 95% and a p-value <0.05. Results In our cohort, 128 (61.5%) patients had received three doses of the COVID-19 vaccine, while 68 (32.7%) had received two doses; four patients (2.0%) had received only one dose, five (2.4%) had not received the vaccine, and the number of doses was unknown for the remaining three patients (1.4%). The BNT162b2 mRNA COVID-19 Vaccine from Pfizer-BioNTech was the most commonly administered (n=136 patients, 66.0%), followed byChAdOx1 nCoV-19 Vaccine from Oxford-AstraZeneca (n=47 patients, 22.8%), and mRNA-1273 SARS-CoV-2 Vaccine from Moderna (n=5 patients, 2.4%). Of note, 139 patients (69.5%) reported experiencing adverse events after receiving the vaccine, and the ChAdOx1 nCoV-19 Vaccine from Oxford-AstraZeneca was significantly associated with higher rates of side effects, in 87.8% of the patients. Conclusion A sizable proportion of MS patients experienced self-limiting side effects from exposure to the COVID-19 vaccine. The rates and incidence of side effects were similar to those encountered in the general population. None of the adverse effects recorded in our population of MS patients were serious or life-threatening. We recommend that physicians encourage patients with MS who have never received COVID-19 vaccination to get promptly vaccinated as the risks of COVID-19 infection far outweigh the minor risks associated with COVID-19 vaccination.
Proceedings of the Caribbean Acropora Workshop : potential application of the U.S. Endangered Species Act as a conservation strategy, April 16-18, 2002, Miami, Florida

s . 123 Appendix I. Restoration Approaches for Acropora in Florida, Puerto Rico and USVI . 175 Appendix II. Summary of Biological Information on Acropora palmata and Acropora cervicornis 179 Appendix III. Workshop Agenda . 185 Appendix IV. Workshop Participants . 187 Appendix V. Acropora Literature . 191
Transcriptome-Wide Association Study Reveals Potentially Candidate Genes Responsible for Milk Production Traits in Buffalo

Identifying key causal genes is critical for unraveling the genetic basis of complex economic traits, yet it remains a formidable challenge. The advent of large-scale sequencing data and computational algorithms, such as transcriptome-wide association studies (TWASs), offers a promising avenue for identifying potential causal genes. In this study, we harnessed the power of TWAS to identify genes potentially responsible for milk production traits, including daily milk yield (MY), fat percentage (FP), and protein percentage (PP), within a cohort of 100 buffaloes. Our approach began by generating the genotype and expression profiles for these 100 buffaloes through whole-genome resequencing and RNA sequencing, respectively. Through comprehensive genome-wide association studies (GWAS), we pinpointed a total of seven and four single nucleotide polymorphisms (SNPs) significantly associated with MY and FP traits, respectively. By using TWAS, we identified 55, 71, and 101 genes as significant signals for MY, FP, and PP traits, respectively. To delve deeper, we conducted protein–protein interaction (PPI) analysis, revealing the categorization of these genes into distinct PPI networks. Interestingly, several TWAS-identified genes within the PPI network played a vital role in milk performance. These findings open new avenues for identifying potentially causal genes underlying important traits, thereby offering invaluable insights for genomics and breeding in buffalo populations.