bluuebunny/crossref_metadata_2025_split huggingface dataset:
Governing the green housing transition in China: an institutional analysis of policy implementation constraints from a market perspective
Authors: Jiang Han , Niu Pu 
Published: June 2023

AbstractBackground:The Chinese government has stated its ambitions to promote a green housing (GH) transition through the articulation and implementation of policies and regulations. However, this state-led GH transition is not straightforward since market responses will greatly influence the extent to which policies are implemented. This research provides a rare perspective on the investigations of the governance capacities of China’s state-led GH transition by exploring how key market actors have responded to the new “rules” in the housing sector.Results:The research gathers primary data from open-ended interviews with eighteen representatives from both state-owned and private real estate enterprises. A range of institutional constraints in relation of China’s GH transition has been found and discussed through the “three levels of institution” analytical framework. These constraints included “state power in decision-making”, “lack of public participation”, “lack of long-term monitoring”, “strong control over land resources” and “High frequency but low efficiency of current GH policies”.Conclusions:Some special applications have been addressed by this research. It has explored the GH transition in the Chinese institutional context by setting out a reflective critique from the market-side perspective. First, it attends to the research gap in which market voices have been overlooked in GH research, while contributing to knowledge in the GH literature in non-liberal contexts. Secondly, through a case study of the GH transition in China, this research has shed light on the application of the NI theory. Moreover, it has assessed how real estate enterprises’ capacity is constrained or enabled by institutional conditions. It, in turn, reflects the institutional characteristics in the governance of GH in China and the institutional capacities of the Chinese government in relation to its environmental governance efforts.
Archaeal LOV domains from Lake Diamante: first functional characterization of an halo-adapted photoreceptor
Authors: Valle Lorena , Coronel Yonathan J. , Bravo Guillermina E. , Albarracín Virginia H. , Farias María Eugenia , Abatedaga Ines 
Published: June 2023

Abstract
High-Altitude Andean Lakes have been described as polyextremophilic environments and plenty photoinduced processes have been documented. Lake Diamante metagenomic taxonomical analysis revealed mostly members from Archaea domain of life. In this context, we searched for Light Oxygen Voltage photoreceptors where 24 of these Archaeal sequences were part of two major groups (A and B) except for 3 domains that did not group even with the reference sequences included for the analysis. Several signatures of halo-adapted proteins were found amongst archaeal sequences, i.e. abundance of acidic residues on the surface, increased number of arginine residues at the expense of lysines and a multiplicity of salt bridges. Heterologous expression of one of these domains, ALovD-1, showed that the photophysics for the dark and the light adapted states was fairly conserved, but most importantly that is a slow cycling type, and a moderate halophilic photoreceptor since it conserves activity at 0.5 M of monovalent salt. This is the first Archaeal LOV domain characterized in the literature to our knowledge.
Application of AI Interactive Device Based on Database Management System in Multidimensional Design of Museum Exhibition Content
Authors: Cai Pengyu , Zhang Kuan , Pan Younghwan 
Published: June 2023

Abstract
In the current digital wave sweeping the world, museums are facing unprecedented opportunities and challenges. How to adapt to the requirements of the times and use digital technology to more effectively utilize cultural relics resources in the museum collection, display exhibition content more scientifically and reasonably, and disseminate historical and cultural knowledge more widely is an urgent problem that every museum manager needs to solve. This article analyzed the AI (Artificial Intelligence) interactive device of the database management system and explored the digital construction of museums. Based on this, simulation experiments were conducted to analyze the design of museum exhibition content in a multidimensional manner. The experimental results of this article indicated that in the design of multi-dimensional exhibition content, the satisfaction score of the experimental group visitors was 8.92; in terms of voice guidance, visitor satisfaction reached 91.98%; in terms of tourist flow management, the rationality score of personnel allocation in the experimental group was 93; in terms of intelligent recommendation systems, the experimental group achieved a satisfaction rate of 86.62% for personalized needs, which was better than the traditional control group. It showed that the application of AI interactive device based on database management system can optimize many aspects of museum Digital transformation, so as to improve the visiting experience, management efficiency and cultural value transmission.
Molecule Chemistry Inducing Crystallographic Reorientation and Smart Interface to Boost Zinc-Iodine Battery Capacity
Authors: Shimou Chen , Zhao Ming , Lv Yanqun , Wang Zhenhao , Qi Jun , Du Yadong , Ma Yangjun , Yang Qi , Qiu Jieshan 
Published: June 2023

AbstractAqueous zinc-iodine batteries (AZIBs) with high theoretical capacities, intrinsic safety, and low cost have been extensively explored as one of next-generation energy storage devices. Nevertheless, in the presence of aqueous electrolytes, AZIBs suffer severe metal corrosion, dendrite growth, and polyiodide shuttling, leading to fast capacity degradation. Here, we report a molecule chemistry strategy by making use of tris(2-cyanoethyl) borate to form a gradient solid electrolyte interface, which dynamically adapts to volume changes and induces even Zn deposits with crystal preferred orientation from (101) to (002) plane, promoting high reversibility and stability of Zn anode. Meanwhile, the molecules adsorbed on the cathode/electrolyte interface can immobilize polyiodide species by the strong interactions and improve conversion kinetics. Benefiting from these advantages, zinc anode exhibits long-term cycling with super-high zinc utilization and superior rate capability at 40 mA cm-2, Zn//I2full cells also achieve ultralong lifespan (>6000 cycles) at large currents and high mass loading. Remarkably, this strategy also enables the normal operation of Cu//I2battery with an energy density of 158 Wh kg-1, thus promoting the practical application of aqueous zinc batteries.
Theoretical study of the binding mechanism between anticancerous drug mercaptopurine and gold nanoparticles using a cluster model
Authors: Huyen Duong Thi , Bui Thanh Q. , Si Nguyen Thanh , Nhat Pham Vu , Quy Phan Tu , Nhung Nguyen Thi Ai 
Published: June 2023

Abstract
Context: Mercaptopurine is known as an effective anti-cancerous medicine yet with serious adverse reactions, thus requiring further attempts to enhance its biological targeting. Small gold clusters Aun with n = 2-10 were used as model reactants to simulate the surface of gold nanoparticles. The computed results show that the drug molecules tend to anchor on the gold clusters at the S atom with the associated binding energies varying from -50 to -34 kcal.mol-1 (in vacuum) and from -42 to -28 kcal.mol-1 (in aqueous solution). Furthermore, the adsorption of the drug onto the gold surface is considered as a reversible process and the mechanism of drug releasing was found to be triggerable by internal factors, such as a pH change or the concentrated presence of thiol amino acids in cancerous protein structures.
Method: Calculations based on density functional theory (DFT) were performed to probe the nature of interactions between the drug and gold nanoparticles. Structural features, thermodynamic parameters, bonding characteristics, and electronic properties of the resulting complexes were investigated at the PBE//cc-pVTZ/cc-pVDZ-PP level.
Structural Insights into JAK2 kinase inhibitors Revealed by Molecular Docking, BatchDTA, HelixADMET, Molecular Dynamics and MM-PBSA Studies
Authors: Tang Jialing , Jin Ju , Huang Zhihong , An Faliang , Huang Caiguo , Ye Chen , Jiang Wenli 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Barriers to Eye Care in The Klong Toey Community in Bangkok, Thailand
Authors: Saree-khome Chanida , Somkijrungroj Thanapong , Rattanapong Thanapoom , Kulvichit Kittisak , Varadisai Adisai , Mavichak Apivat , Kongwattananon Wichak , Ferreira Pear Pongsachareonnont 
Published: June 2023

Abstract
Background
Visual impairment and blindness are major public health concerns worldwide, with significantly greater prevalence in low- to middle-income countries. Access to eyecare is limited for impoverished people living in urban slums. Discriminatory public health services persist in urban slums, despite the Thai universal coverage scheme providing free healthcare facilities.
Objective
To study the factors related to accessibility to eyecare among the socioeconomically deprived residents in Klong Toey Community, Bangkok, Thailand
Study Design:
Participants were interviewed and underwent an eye-screening program. The questionnaires included demographic information, socioeconomic background, healthcare coverage scheme, eye problems, eye care accessibility, and the Thai WHOQOL-BREF questionnaire. Characteristics of eyecare accessibility were analyzed using multiple logistic regression.
Results
The study included a total of 313 respondents, of whom female 71.6% and 28.4% were male, with a mean age of 57.67 years, (SD = 0.73). Half of the participants had no access to eyecare (50.1%), with barriers of single status (aOR = 2.05, 95% CI [1.06–3.95]) and self-employed status (aOR = 3.24, 95% CI [ 1.12–9.44]). The barrier of not using the provided eyecare was a personal constraint (aOR = 2.64, 95% CI [1.48–4.73]). Most Klong Toey dwellers reported a fair quality of life according to WHO’s standard (73.4%), and the mean of the WHOQOL-BREF score was 85.82, SD = 0.63.
Conclusions
Half of the people surveyed had limited access to eye care, with restrictions due to single status and self-employed status. The impediment of not using the provided eye care on their matched healthcare coverage scheme was a burden of personal constraint.
Characterization of The Complete Chloroplast Genome and Comparative Genomic Analysis of Trema orientalis L.
Authors: Ibrahim Amira , Alwutayd Khairiah M. , Safhi Fatma Ahmed , Alshegaihi Rana M. , Alqurashi Mohammed , Alyamani Amal , Aloufi Salman , Alharthi Badr , Fayad Eman , El-Moneim Diaa bd 
Published: June 2023

Abstract
This study, T. orientaliswas used as an example to explore chloroplast genome evolution and determine Cannabaceae's phylogenetic relationship using phylogenetic analysis. Comparing six Trema species chloroplast genomes shows that gene order, gene content, and length are highly conserved yet dynamically evolve among species. The whole T. orientalis chloroplast genome is 157,134 bp long with accession number OQ871457 and includes a pair of inverted repeats (IRs) of 25,493 bp separated by a small single-copy region of 19,320 bp and a large single-copy region of 86,822 bp. The total content of GC is 36.3%. The chloroplast genome was annotated to include 129 genes, 84 of which code for proteins, 37 for tRNA, and 8 for rRNA. 127 SSRs were found, with the highest concentration in p1 (60), whose length varied from 10 to 16 bp; these areas could serve as foundational molecular markers for the Trema genus. The IRS repeats were found: 17 were forward repeats (F), 25 were palindromic repeats (P), and five were reverse repetitions (R). T. orientalis and T. orientalis (NC _039734.1), with 99 percent similarity, were found in the same group in a phylogenetic analysis of Trema species. IR scope expansion and contraction were also determined and compared with 17 related species in this family. It is the first report of the chloroplast genome of T. orientalis collected from Western Desert, Saudi Arabia, providing an important data reference for future investigations into genetic diversity and plant evolution. Such information based on the complete chloroplast genomes facilitates the evolution of species-specific molecular tools to discriminate T. orientalis.
Fractional solution of the puff model in three dimensional for pollutant dispersion in the atmosphere
Authors: Essa Khaled , Marrouf Ayman A. , Etman Soad , El-Otaify Maha 
Published: June 2023

Abstract

An analytical solution of the three-dimensional fractional time-dependent advection-diffusion equation (ADE) in the puff model is solved. A simple model of the fractional differential equation for an instantaneous emission in non-homogeneous and time-dependent meteorological conditions has been studied. A Generalized Integral Laplace Transform Technique (GILTT) has been used to solve this problem. A comparison between the proposed model, previous work, and observed concentration from the experiment of Copenhagen is made.
Live feed enrichments using microalgae for pikeperch (Sander lucioperca) larval culture
Authors: Yanes-Roca Carlos , Štěrbová K. , Mráz J. , Veselý L. , Malinovskyi O. , Pěnka T. , Masojídek J. , Policar T. 
Published: June 2023

Abstract
This trial aimed to customize pikeperch (Sander lucioperca) larval nutrition using live feed enrichments based on Chlorella vulgaris and Trachydiscus minutus. Pikeperch larvae were fed with rotifers and Artemia enriched with Chlorella vulgaris and Trachydiscus minutus during the first 17 days after exogenous feeding (started four days post-hatching (dph)) and only Artemia until 20 dph. Larvae were exposed to seven different enrichments: a) Nannochloropsis occulata (Nanno 3600 reed Mariculture (Control), b) Chlorella vulgaris cultured at 20°C in BG-117 medium (BG20), c) Chlorella vulgaris cultured at 30°C in BG-117 medium (BG30), d) Trachydiscus minutus cultured at 15°C (T15), e) Trachydiscus minutus cultured at 25°C (T25). f) Chlorella vulgaris cultured at 20°C in Urea medium (U20), and g) Chlorella vulgaris cultured at 30°C in Urea medium (U30). After 20 days, no significant differences were found between treatments on total length (TL), standard length (SL), myomere height (MH), and eye diameter (ED). On the contrary, significant differences were found in larval fatty acid composition after the trial period. Larvae from the BG30 treatment showed a significantly higher concentration of Docosahexaenoic acid (DHA) (5.61%), and larvae from the T25 treatment had a higher concentration of Eicosapentaenoic acid (EPA)12,95%. Furthermore, larvae from the U20 treatment had a significantly higher Arachidonic acid concentration (ARA) of 0.116%. Overall, regarding Essential Fatty Acids (EFA) concentration, a significant difference was observed between the control treatment (Nannochloropsis) and the other treatments. No adverse effects were found on growth or survival when Nannochloropsis enriched live feed was replaced with the other enrichments. This trial's results will help optimize the pikeperch larvae's nutritional requirements and diversify the live feed enrichments used during the first feeding.
Development of an Automated Method for Flood Inundation Monitoring, Flood Hazard and Soil Erosion Susceptibility Assessment Using Machine Learning and AHP-MCE Techniques
Authors: Prakash A Jaya , Begum Sazeda , Vilímek Vít , Mudi Sujoy , Das Pulakesh 
Published: June 2023

Abstract

Operational large-scale flood monitoring using publicly available satellite data is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6-day intervals) flood mapping day and night, even in cloudy monsoon seasons. Automated flood inundation area identification in near-real-time involves advanced geospatial data processing platforms such as Google Earth Engine (GEE) and robust methodology (Otsu’s algorithm). The current study employs the Sentinel-1 microwave data for flood extent mapping using machine learning (ML) algorithms in Assam state, India. We generated a flood hazard and soil erosion susceptibility map by combining multi-source data on weather conditions and soil and terrain characteristics. Random Forest (RF), Classification and Regression Tool (CART) and Support Vector Machine (SVM) ML algorithms were applied to generate the flood hazard map. The highest prediction accuracy was observed for the RF model (overall accuracy [OA]: > 82%), followed by the SVM (OA > 82%) and CART (OA > 81%). Further, we employed the multicriteria evaluation (MCE) analytical hierarchical process (AHP) for soil erosion susceptibility mapping. Over 26% of the study area indicated high flood hazard-prone areas, and about 60% showed a high and severe potential for soil erosion due to flooding. The automated flood mapping platform is an essential resource for emergency responders and decision-makers, as they help to guide relief activities by identifying suitable regions and appropriate logistic route planning and improving the accuracy and timeliness of emergency response efforts. The periodic flood inundation maps will help in long-term planning and policymaking, flood management, soil and biodiversity conservation, land degradation, planning sustainable agriculture interventions, crop insurance, climate resilience studies, etc.
Prevalence of helmintic infections in Brazilian Maxakali indigenous: A repeated cross-sectional design
Authors: Nacife Maria Beatriz Pena e Silva Leite , Siqueira Liliane Maria Vidal , Barbosa Keila Furbino , Vianna Valeska Natiely , Masioli Cássio Zumerle , Silva Jaime Costa , Zicker Fábio , Coelho Paulo Marcos Zech , Katz Naftale , Machado-Coelho George Luiz Lins 
Published: June 2023

Abstract
Background
The prevalence of intestinal parasites is known to be high among Amerindian populations; further, there are serious problems in the healthcare of these populations in Brazil. The Maxakali, located in the northeastern region of Minas Gerais, Brazil, is an indigenous group that still preserves many of its cultural aspects. This study aimed to compare the positivity rate of schistosomiasis and soil-transmitted helminths in this ethnic group in epidemiological surveys conducted in 1972 and 2014.
Methods
Stool parasitological examinations were performed by the Kato-Katz technique during both periods in this population. In 2014, the parasitological diagnosis was also realized with the TF-Test® technique.
Results
In 1972, 270 inhabitants were examined. The positivity rates were 67.4% for Schistosoma mansoni, 72.9% for hookworms, 43.7% for Ascaris lumbricoides, and 23.7% for Trichuris trichiura. In 2014, 545 individuals were examined, and the positivity rates obtained were 45.7% for S. mansoni, 22.8% for hookworms, 0.6% for A. lumbricoides, and 2.8% for T. trichiura.
Conclusions
The comparison of the parasitological surveys conducted in 1972 and 2014, indicates that the indigenous Maxakali remained neglected by the health and indigenous protection authorities during these four decades. The infection rate observed in 2014 for schistosomiasis and hookworm remains high, considering the current epidemiological view of these diseases in the Brazilian population.
Passive Monitoring of Crowd-Level Cough Counts in Waiting Areas produces Reliable Syndromic Indicator for Total COVID-19 Burden in a Hospital Emergency Clinic
Authors: Rahman Tauhidur , Hossain Forsad , Tonmoy Tanjid Hasan , Nuvvula Sri , Chapman Brittany P , Gupta Rajesh , Lover Andrew , Dinglasan Rhoel , Carreiro Stephanie 
Published: June 2023

Abstract
Syndromic surveillance is an effective tool for enabling the timely detection of infectious disease outbreaks and facilitating the implementation of effective mitigation strategies by public health authorities. While various information sources are currently utilized to collect syndromic signal data for analysis, the aggregated measurement of cough, an important symptom for many illnesses, is not widely employed as a syndromic signal. With recent advancements in ubiquitous sensing technologies, it becomes feasible to continuously measure population-level cough incidence in a contactless, unobtrusive, and automated manner. In this work, we demonstrate the utility of monitoring aggregated cough count as a syndromic indicator to estimate COVID-19 cases. In our study, we deployed a sensor-based platform Syndromic Logger in the emergency room of a large hospital. The platform captured syndromic signals from audio, thermal imaging, and radar, while the ground truth data were collected from the hospital's electronic health record. Our analysis revealed a significant correlation between the aggregated cough count and positive COVID-19 cases in the hospital (Pearson correlation of 0.40, p-value < 0.001). Notably, this correlation was higher than that observed with the number of individuals presenting with fever (Pearson correlation of 0.22, p=0.04), a widely used syndromic signal and screening tool for such diseases. Furthermore, we demonstrate how the data obtained from our Syndromic Logger platform could be leveraged to estimate various COVID-19-related statistics using multiple modeling approaches. Our findings highlight the efficacy of aggregated cough count as a valuable syndromic indicator associated with the occurrence of COVID-19 cases. Incorporating this signal into syndromic surveillance systems for such diseases can significantly enhance overall resilience against future public health challenges, such as emerging disease outbreaks or pandemics.
The Impact of Digitization on Economic Activity in Sub-Saharan Africa
Authors: Emiru Tilahun , Wajebo Temesgen 
Published: June 2023

Abstract

The digital economy has emerged as a crucial driver of global economic growth, benefiting countries with well-developed information and communication infrastructure. Despite the growing adoption of digitization in Sub-Saharan Africa, the impact on income levels and economic growth remains understudied. This study aims to investigate the impact of digitization on economic activity in Africa Utilizing a two-stages least squares (2SLS) approach on an unbalanced panel data of 33 African countries from 1996 to 2019, the study finds a statistically significant effect of digitization on GDP per capita. Specifically, an increase in the digitization index by one point is associated with a 2.37% increase in GDP per capita. The research delves into the various transmission mechanisms through which digitization can influence economic growth and income levels, providing valuable insights for policymakers and stakeholders.
JEL Classification: O11, O30, O47, O55