bluuebunny/crossref_metadata_2025_split huggingface dataset:
An assessment of groundwater quality for drinking and agricultural purposes in Ca Mau peninsula, Vietnamese Mekong Delta
Authors: Ha Quang Khai , Le Thi Mai Van , Vo Phu Le , Nguyen Hong Quan , Mukherjee Abhijit 
Published: January 2022

Abstract
Groundwater serves as the major source for drinking water and the only fresh water source in the dry season in Ca Mau province, the Vietnamese Mekong Delta. The study is performed to assess groundwater quality in the area. Groundwater Quality Index (GWQI), magnesium hazard (MH), sodium percentage (Na%), sodium adsorption ratio (SAR), permeability index (PI) combined with geostatistical tools were conducted by using groundwater quality data from 400 samples collected from private wells. GWQI values suggest that 7%, 63%, 28%, 2%, 1% of total samples are classified into excellent, good, poor, very poor and unsuitable for drinking water. High Cl and TDS are the main cause of high GWQI values suggesting that saltwater intrusion deteriorates groundwater quality. For irrigation purposes, 4%, 17%, 36%, 43% of total samples classify into Good, Permissible, Doubtful, Unsuitable respectively by Na% indicator; 55.0%, 30.9%, 11.9%, 2.2% of total samples is Excellent, Good, Doubtful and Unsuitable according to SAR, 54% samples are unsuitable by MH index, and all samples are good by PI. This study provides useful information on groundwater quality for various purposes in Ca Mau province, that could help water management and water users to identify the necessary approach for groundwater protection and water-treatment methods before utilising the groundwater source for specific purposes in the study area.
Assessing the distribution and variation characteristics of marine primary productivity in the coastal marine area of Vietnam South Centre
Authors: Duc Hieu Nguyen Trinh , Huan Nguyen Huu , Thi Van Tran , Lien Nguyen Phuong 
Published: January 2022

Abstract
Primary production (PP) of phytoplankton plays an essential role in food web dynamics, biogeochemical cycles and marine fisheries. It is used as one of the basic information for evaluating marine ecosystems. In this paper, monthly composite PP data on a 4 km x 4 km grid for the period 2003-2020 was used to evaluate the distributional characteristics of PP in the coastal marine area of Vietnam South Centre. The statistical results show that the climatological average of PP in 18 years reached 449.2 mgC/m2/day, ranged from 272.1 to 14,205.4 mgC/m2/day. The PP has seasonal and spatial variations. In time, the lowest value of PP was in spring, and the highest was in winter; in space, PP tended to decrease from shore to offshore, PP was higher in coastal areas than in the open sea areas. During the northeast monsoon season, PP increased by more than 1000 mgC/m2/day in the coastal area. Meanwhile, in the southwest monsoon season, due to the ecological influence of the upwelling phenomenon, PP increased with a value greater than 1500 mgC/m2/day, distributed along the coastline of Ninh Thuan - Binh Thuan. Primary productivity positively correlated with chlorophyll content but negatively correlated with sea surface temperature with correlation coefficients of 0.9 and -0.6, respectively. There was a weak correlation between PP and ONI with correlation coefficients of -0.23. The temporal-spatial variation of PP was affected by the ENSO (El Niño-Southern Oscillation) phenomenon, the positive phase of ENSO (El Niño conditions) corresponded to lower PP, and the negative phase of ENSO (La Niña conditions) corresponded to higher PP. The research results from this paper can be used as a reference in marine ecosystem management.
Energy recovery from municipal solid waste landfill for a sustainable circular economy in Danang City, Vietnam
Authors: Nguyen Phong Hoang , Nguyen Cao Quynh Khanh , Bui Long Ta 
Published: January 2022

Abstract
Sustainable development of Danang City in the direction of circular economy (CE) and a zero-waste city is an urgent solution because the impacts of local municipal solid waste (MSW) generation in the city’s districts are increasingly causing serious pressure for MSW management and treatment. Segregation of waste at source, reuse, recycling, and energy recovery from landfill gas (LFG) generated is considered as one of the keys to solving the dilemma of sustainable waste management. This study analyzed and evaluated the generation of greenhouse gases (GHGs), mainly CH4 and CO2 gases from the Khanh Son landfill based on the application of the EnLandFill software and assessed the potential of energy recovery, clean electricity generation, as well as GHG emission reduction in the period of 2021 – 2050 based on the CE-oriented scenario of the city government. With the potential to recover LFGs in the period of 2021 – 2050 could reach 136.9 million m3 (with efficiency E = 90%), the total annual potential value of electricity generation is estimated at 420.767 million kWh, equivalent to the total potential for GHGs emission reduction (GWP) about 271.25 thousand tCO2-eq. At the same time, this will be a baseline study to serve as the basis for extensive assessments and to suggest the most appropriate waste management strategies and policies create a circular economy in the future.
Combination of photocatalytic degradation and adsorption in dye removal by TiO2-chitosan-glycerol beads under natural sunlight
Authors: Tran Anh Thi-Kim , Hoang Nhung Thi-Tuyet , Hoang Nguyen Tien Thuy 
Published: January 2022

Abstract
The synthesis of TiO2-chitosan-glycerol (TiCsG) beads was prepared to determine the optimum condition for dye removal under natural sunlight. By using the orthogonal array design with five parameters (ratio of TiO2/Chitosan, initial concentration of dyes, pH of solution, irradiation time, dose of TiCsG) to analyze their interaction such as well as optimizing the photocatalytic process. The significant parameters influent in the removal of Acid Blue 193, MO, NWY dyes were irradiation time (p = 0.011) and the ratio of TiO2/chitosan (p = 0.025), while the initial concentration of dyes, pH of dye solution and dose of TiCsG were unimportant factors with p > 0.05. The optimum of factors based on the ratio of signal per noise to attain the highest dye removal ability of TiCsG was the percentage of TiO2/chitosan = 2 % w/w (level 2), initial concentration of dye at level 5 (10 mg/L of AB 193, 5 mg/L for MO and 100 mg/L for NWY), pH =4.5 (level 2), irradiation time =1.5 h (level 5) and dose of TiCsG =0.2 g/mL (level 4).
Synthesis of hydrated ferric oxide on cation exchange resin for phosphate and hardness removal in water
Authors: Tran Le Ba , Nguyen Trung Thanh , Le Tri Thich , Nguyen Thi Quynh Anh , Phan Phuoc Toan , Padungthon Surapol , Nguyen Nhat Huy 
Published: January 2022

Abstract
In this study, a potential adsorbent was synthesized from iron salt and cation exchange resin (FeOOH@CR) and applied for phosphate adsorption in batch experiments. The characteristics of FeOOH@CR materials before and after phosphate adsorption were determined by FTIR, XRD, and SEM. The factors affecting the adsorption process such as reaction time, solution pH, material dosage, concentration, temperature, and competing ions were tested. Kinetic, thermodynamic and isothermal models of the adsorption process were applied to study the nature of the adsorption process. The properties of phosphate adsorption, effect of competitive ions and material reusability were also examined. Results showed that the adsorption time reached equilibrium after 48 h and the suitable adsorption condition was found at solution pH of 6.5, material dosage of 5 g/L. In addition, the durability of the material after 5 times of regeneration was investigated with the remained adsorption ability of about 55% as compared to the original one.
Deep-learning online EEG decoding brain-computer interface using error-related potentials recorded with a consumer-grade headset
Authors: Ancau Dorina-Marcela , Ancau Mircea , Ancau Mihai 
Published: January 2022

Abstract

Objective. Brain-computer interfaces (BCIs) allow subjects with sensorimotor disability to interact with the environment. Non-invasive BCIs relying on EEG signals such as event-related potentials (ERPs) have been established as a reliable compromise between spatio-temporal resolution and patient impact, but limitations due to portability and versatility preclude their broad application. Here we describe a deep-learning augmented error-related potential (ErrP) discriminating BCI using a consumer-grade portable headset EEG, the Emotiv EPOC+. Approach. We recorded and discriminated ErrPs offline and online from 14 subjects during a visual feedback task. Main results: We achieved online discrimination accuracies of up to 81%, comparable to those obtained with professional 32/64-channel EEG devices via deep-learning using either a generative-adversarial network or an intrinsic-mode function augmentation of the training data and minimalistic computing resources. Significance. Our BCI model has the potential of expanding the spectrum of BCIs to more portable, artificial intelligence-enhanced, efficient interfaces accelerating the routine deployment of these devices outside the controlled environment of a scientific laboratory.
The measurement and control of high-risk host cell proteins for polysorbate degradation in biologics formulation
Authors: Li Xuanwen , Wang Fengqiang , Li Hong , Richardson Douglas D , Roush David J 
Published: January 2022

Abstract
Nonionic surfactant polysorbates, including PS-80 and PS-20, are commonly used in the formulation of biotherapeutic products for both preventing surface adsorption and acting as stabilizer against protein aggregation. Trace levels of residual host cell proteins (HCPs) with lipase or esterase enzymatic activity have been shown to degrade polysorbates in biologics formulation. The measurement and control of these low abundance, high-risk HCPs for polysorbate degradation are an industry-wide challenge to achieve desired shelf life of biopharmaceuticals in liquid formulation, especially for high-concentration formulation product development. Here, we reviewed the challenges, recent advances, and future opportunities of analytical method development, risk assessment, and control strategies for polysorbate degradation during formulation development with a focus on enzymatic degradation. Continued efforts to advance our understanding of polysorbate degradation in biologics formulation will help develop high-quality medicines for patients.
Infraorbital Hyaluronic Acid Filler: Common Aesthetic Side Effects With Treatment and Prevention Options
Authors: Siperstein Robyn 
Published: January 2022

AbstractBackgroundInfraorbital hollows can give a fatigued or aged appearance, which can be treated by volumizing the segmented transition from the tear trough to the cheek with hyaluronic acid filler. Due to thin skin and the complex anatomy of the infraorbital area, both short- and long-term side effects (SEs) from this treatment are very common. While some patients are clear surgical candidates vs filler candidates, in real-world practice, many, if not most, patients are on a continuum where either procedure is appropriate, and the treatment decision is individualized based on each person’s risk vs benefit profile.ObjectivesCommon aesthetic SEs from hyaluronic acid filler treatment in the infraorbital area will be reviewed, including their etiology, prevention, detection, and treatment.MethodsThe author’s experience from injecting the infraorbital areas of more than 800 patients in private clinical practice and observations from both short- and long-term follow-ups over 8 years is leveraged to provide detailed guidance.ResultsRecommendations on injection techniques, patient selection, and patient education are presented along with algorithms for the prevention and management of bruising, short- and long-term swelling, bumps, and blue discoloration (which is usually secondary to swelling from the filler rather than just the filler alone placed or migrating too superficially).ConclusionsFor nearly all patients, complete dissolution of filler with hyaluronidase is not required to address the issue, and the guidelines provided here will assist clinicians in the management of SEs to increase patient satisfaction with their treatment and aesthetic outcome.Level of Evidence: 5
Visualization, benchmarking and characterization of nested single-cell heterogeneity as dynamic forest mixtures
Authors: Anchang Benedict , Mendez-Giraldez Raul , Xu Xiaojiang , Archer Trevor K , Chen Qing , Hu Guang , Plevritis Sylvia K , Motsinger-Reif Alison Anne , Li Jian-Liang 
Published: January 2022

Abstract
A major topic of debate in developmental biology centers on whether development is continuous, discontinuous, or a mixture of both. Pseudo-time trajectory models, optimal for visualizing cellular progression, model cell transitions as continuous state manifolds and do not explicitly model real-time, complex, heterogeneous systems and are challenging for benchmarking with temporal models. We present a data-driven framework that addresses these limitations with temporal single-cell data collected at discrete time points as inputs and a mixture of dependent minimum spanning trees (MSTs) as outputs, denoted as dynamic spanning forest mixtures (DSFMix). DSFMix uses decision-tree models to select genes that account for variations in multimodality, skewness and time. The genes are subsequently used to build the forest using tree agglomerative hierarchical clustering and dynamic branch cutting. We first motivate the use of forest-based algorithms compared to single-tree approaches for visualizing and characterizing developmental processes. We next benchmark DSFMix to pseudo-time and temporal approaches in terms of feature selection, time correlation, and network similarity. Finally, we demonstrate how DSFMix can be used to visualize, compare and characterize complex relationships during biological processes such as epithelial–mesenchymal transition, spermatogenesis, stem cell pluripotency, early transcriptional response from hormones and immune response to coronavirus disease. Our results indicate that the expression of genes during normal development exhibits a high proportion of non-uniformly distributed profiles that are mostly right-skewed and multimodal; the latter being a characteristic of major steady states during development. Our study also identifies and validates gene signatures driving complex dynamic processes during somatic or germline differentiation.
Two ecological gradients drive phenotypic differentiation of a cave fish over a few hundred metres
Authors: Riesch Rüdiger , Curtis Amy , Jourdan Jonas , Schlupp Ingo , Arias-Rodriguez Lenin , Plath Martin 
Published: January 2022

AbstractEcological gradients can drive adaptive phenotypic diversification, but the extent of local adaptation depends on the strength, temporal stability and spatial dimensions of selective forces at play. We examined diversification in morphology and life histories of a live-bearing fish (Poecilia mexicana) that has adapted to two concomitant gradients: differential light regimes and toxicity levels in and around a hydrogen sulphide-rich cave. Even though typical ranging distances of P. mexicana exceed the spatial dimensions of both gradients (few hundred metres), clines in head size, body depth, male and female lean mass, offspring size, fecundity and maternal provisioning strategies tracked both gradients. Comparison of two life-history samplings from 2007/2008 and 2014 revealed remarkable temporal stability, even though some degree of temporal variation was seen in fat content and investment into reproduction. Our study demonstrates how patterns of phenotypic gradient evolution can emerge when spatially and temporally stable, strong selection forces alter selective landscapes, resulting in alternate fitness optima of different locally adapted genotypes and impeding individuals’ movement even at a spatial scale far below the species’ potential lifetime ranging distance. This is further evidence for the role of active colonization and gradual adaptation to cave environments in the evolution of some cave organisms.
Importance of long-term surveillance after curative esophagectomy for esophageal squamous cell carcinoma
Authors: Yago Akikazu , Ohkura Yu , Ueno Masaki , Fujisawa Kentoku , Ogawa Yusuke , Shimoyama Hayato , Haruta Shusuke , Udagawa Harushi 
Published: January 2022

Summary

Background
The long-term outcomes after esophagectomy for esophageal cancer remain uncertain and the optimal surveillance strategy after curative surgery remains controversial.

Methods
In this study, the clinicopathological characteristics of patients who underwent curative thoracic esophagectomy between 1991 and 2015 at Toranomon Hospital were retrospectively analyzed and reviewed until December 2020. We evaluated the accumulated data regarding the pattern and rates of recurrence and second malignancy.

Results
A total of 1054 patients were eligible for inclusion in the study. Of these, 97% were followed up for 5 years, and the outcomes after 25 years could be determined in 65.5%. Recurrence was diagnosed in 318 patients (30.2%), and the most common pattern was lymph node metastasis (n = 168, 52.8%). Recurrence was diagnosed within 1 year in 174 patients (54.7%) and within 3 years in 289 (90.9%). Second malignancy possibly occurred through the entire study period after esophagectomy even in early-stage cancer, keeping 2%–5% of the incidental risk. There was no significant difference in the prognosis between 3-year survivors with and without a second malignancy.

Conclusions
Most recurrences after resection of esophageal cancer occurred within 3 years regardless of disease stage. However, these patients have an ongoing risk of developing a second malignancy after esophagectomy. Further consideration is required regarding the efficacy of long-term surveillance.
Interaction between science advice and policymaking in time of COVID-19: a French perspective
Authors: Bruat Camille , Monnet Elisabeth , Azanowsky Jean-Michel , Faliu Bernard , Mansour Zeina , Chauvin Franck 
Published: January 2022

Abstract

Background
In the coronavirus disease 2019 (COVID-19) context, many governments relied on scientific consultative bodies to advise their policy, but their contribution remains poorly documented. This article aims to fill this gap by reviewing the role played by the French High Council for Public Health (HCSP) in the French government’s response to COVID-19.

Methods
We studied the time distribution of the COVID-19 guidelines produced by the HCSP until November 2020, computed their delay of production and analyzed the thematic areas they cover. To assess their use by the authorities, we looked for references to these guidelines in the regulatory texts, protocols and press communicates issued by national and local authorities until January 2021.

Results
The HCSP was strongly demanded with 102 guidelines produced following 97 official requests and two self-referrals. Most of them (N = 43) concerned protective measures to constrain the infection, while health inequalities and mental health were poorly addressed. Timing was very constraint as half of the guidelines were requested within 4 days. In total, 73% of the guidelines were used by policymakers to implement new obligations or within communication toward the public at national and local levels.

Conclusions
This article informs on the HCSP’s contribution during the crisis and stresses the difficulties it encountered to provide quality recommendations in very short times. It prompts governments to enlarge the competencies of their advisory boards and to consider the multidimensional aspects of health in policy design.
Comparative transcriptome analysis of genes and metabolic pathways involved in sporulation in Ganoderma lingzhi
Authors: Cai Manjun , Tan Zengdong , Wu Xiaoxian , Liang Xiaowei , Liu Yuanchao , Xie Yizhen , Li Xiangmin , Xiao Chun , Gao Xiong , Chen Shaodan , Hu Huiping , Wu Qingping 
Published: January 2022

Abstract
Over the past decades, Ganoderma lingzhi spores have received considerable attention as a great potential pharmaceutical resource. However, the genetic regulation of sporulation is not well understood. In this study, a comparative transcriptome analysis of the low-sporing HZ203 and high-sporing YW-1 was performed to characterize the mechanism underlying sporulation. A total of 917 differentially expressed genes were identified in HZ203 and 1,450 differentially expressed genes in YW-1. Differentially expressed genes involved in sporulation were identified, which included HOP1, Mek1, MSH4, MSH5, and Spo5 in meiosis. Positive regulatory pathways of sporulation were proposed as 2 transcriptional factors had high connectivity with MSH4 and Spo5. Furthermore, we found that the pathways associated with energy production were enriched in the high-sporing genotype, such as the glyoxylate and dicarboxylate metabolism, starch and sucrose metabolism. Finally, we performed a weighted gene coexpression network analysis and found that the hub genes of the module which exhibit strong positive relationship with the high-sporing phase purportedly participate in signal transduction, carbohydrate transport and metabolism. The dissection of differentially expressed genes during sporulation extends our knowledge about the genetic and molecular networks mediating spore morphogenesis and sheds light on the importance of energy source during sporulation.
Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci
Authors: Odell Sarah G , Hudson Asher I , Praud Sébastien , Dubreuil Pierre , Tixier Marie-Hélène , Ross-Ibarra Jeffrey , Runcie Daniel E 
Published: January 2022

Abstract
The search for quantitative trait loci that explain complex traits such as yield and drought tolerance has been ongoing in all crops. Methods such as biparental quantitative trait loci mapping and genome-wide association studies each have their own advantages and limitations. Multiparent advanced generation intercross populations contain more recombination events and genetic diversity than biparental mapping populations and are better able to estimate effect sizes of rare alleles than association mapping populations. Here, we discuss the results of using a multiparent advanced generation intercross population of doubled haploid maize lines created from 16 diverse founders to perform quantitative trait loci mapping. We compare 3 models that assume bi-allelic, founder, and ancestral haplotype allelic states for quantitative trait loci. The 3 methods have differing power to detect quantitative trait loci for a variety of agronomic traits. Although the founder approach finds the most quantitative trait loci, all methods are able to find unique quantitative trait loci, suggesting that each model has advantages for traits with different genetic architectures. A closer look at a well-characterized flowering time quantitative trait loci, qDTA8, which contains vgt1, highlights the strengths and weaknesses of each method and suggests a potential epistatic interaction. Overall, our results reinforce the importance of considering different approaches to analyzing genotypic datasets, and shows the limitations of binary SNP data for identifying multiallelic quantitative trait loci.