bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isorhamnetin exerts antifibrosis effects by attenuating PDGF-BB--induced HSC-T6 cells activation via suppressing PI3K-AKT Signaling Pathway, a new remedy for liver fibrosis
Authors: Rashidi Mojtaba , Matour Emad , Nasab Hasti Beheshti , Cheraghzadeh Maryam , Shakerian Elham 
Published: August 2022

Abstract
Background: Liver inflammation and fibrosis are the results of chronic liver injuries, which activated myofibroblasts in the liver to produce more proteins in the extracellular matrix. The origin of myofibroblasts is quiescent hepatic stellate cells. Isorhamnetin as a natural flavonoid widely distributed in fruits and vegetables has anti-inflammatory activity and avoids cell proliferation and migration.Objectives: We studied the effect of Isorhamnetin as an antifibrotic following stimulation by PDGF- BB in the HSC-T6 cells, as well as related mechanisms in vitro.Methods: First of all, we used PDGF- BB to activate the HSC-T6 cells. After that, we used Isorhamnetin to treat activated cells for 24h. Finally, we compared the mRNA expression amount of collagen1 (COLA1), Alpha Smooth Muscle Actin (α-SMA), and level of phosphorylated AKT protein with our control group.Results: The obtained data revealed the expression of the COLA1, α-SMA genes, as well as the amount of phosphorylate-AKT protein in the cells treated with PDGF-BB, significantly rose in comparison with our control. In addition, 75 and 100 µM concentrations of Isorhamnetin markedly declined the COLA1, α-SMA expression, and the phosphorylated AKT protein in the HSC-T6 cells.Conclusions: Isorhamnetin significantly decreased HSC-T6 activation by preventing the PI3K-AKT cell signaling and reducing the expression of COLA1, α-SMA within liver fibrosis in vitro, so Isorhamnetin can prohibit liver fibrosis progression. In terms of these data, Isorhamnetin use can be recommended as a helpful therapeutic factor to treat liver fibrosis.
Artificial Intelligence Discriminating Back Pain vs Hip/Knee Osteoarthritis within the Digital Affective Collective Consciousness
Authors: Caldo Davide , Bologna Silvia , De Nunzio Giorgio , Conte Luana , Amin Muhammad , Anselma Luca , Basile Valerio , Hossain Murad , Mazzei Alessandro , Heritier Paolo , Ferracini Riccardo , Kon Elizaveta 
Published: August 2022

Abstract
Background
- Dynamic interplay between the patient collective consciousness and the subliminal affective content of digital information may play a critical role in emergence of chronic pain, within the combined perspective of somatic marker and complex adaptive system theoretical frames
Goal
- Testing Machine Learning (ML) algorithms accuracy to predictively discriminate back pain vs hip/knee osteoarthritis affective fingerprints of web pages
Methods
- Top 2000 internet pages related to the topics of interest were selected by relevance/popularity and submitted to automated sentiment analysis; Machine Learning algorithms classified the output
Results
- ML showed high discrimination accuracy predicting the page topic. The emotion Disgust emerged as the key discriminating factor
Discussion -
The new paradigm labeled “digital affective collective consciousness” (DACC) and the role of disgust in musculoskeletal disease are discussed; DACC may play a regulatory uninvestigated role of the emergence of health/illness conditions affecting subjects and communities
Correlation Between Genetic Resistance Factors and the Antibiotic Resistance Phenotypes in MRSA Isolates of Animals and Humans
Authors: Abdulkadir Aliyu , Kabir Junaidu , Mohammed Bello , Olayinka Busayo 
Published: August 2022

Abstract
Background: Methicillin resistant Staphylococcus aureus (MRSA) as an infectious organism of public health significance has evolved to a genetically distinct community-acquired MRSA with extended resistance to other than β-lactams. Methods: A cross-sectional study was conducted among 149 participants handling 446 animals (240 horses & 206 companion animals). The isolates were characterised as S. aureus and MRSA based on PCR detection of nuc, mecA or mecC, respectively and pvl gene for differentiation as community associated/livestock associated or hospital associated. Results: Isolation rates of S. aureus from the human handlers’ samples were 26 (17.4%) and 170 (38.1%) from the animal samples. The prevalence of MRSA among the isolates were 7 (4.7%) from the human handlers and 19 (4.3%) from the animals. Dogs and dog handlers had highest isolation rates and were more likely to be colonized by S. aureus and MRSA compared to horses, cats, and their handlers. The highest prevalence of MRSA was from horses (5.0%) and dog handlers (10.6%). Conclusion: This study has demonstrated a high prevalence of community associated MRSA in apparently healthy animals and their human handlers. This has important implication for antibiotic selection and usage as well as infection control measures.
Managing Food Insecurity Through Knowledge-based Supply Chains: Case of the Food Industry in Zimbabwe
Authors: Munuhwa Shakerod , Chikwere David , Dzingai Morris E 
Published: August 2022

Abstract
This paper discusses the influence and relevance of cutting-edge technologies in the development of a knowledge-based supply chain to enhance food security. The application of technologies is based on the background that food supply chains require real-time monitoring and effective information flow from farm to farm with regards to food availability, preservation of quality, health, safety, and accessibility of food from production to the final user. The study used a quantitative approach and drew a sample of 65 employees and suppliers from three food manufacturing organizations (Probrands, Delta Beverages, and National Foods) that are currently using various cutting-edge technologies in Zimbabwe. Further, 80 downstream consumers were drawn from the commonly known food insecure remote areas in Zimbabwe to provide a fair review of the effectiveness of the current food supply chain system (using modern technology). Results show that a number of technologies can be effectively employed when developing a knowledge-based food supply chain. These include artificial intelligence, big data analytics, the internet of things, machine-learning, robotics, additive manufacturing, or virtual reality, among others. These technologies were found to be effective in resolving supply chain management challenges. As a result of reducing supply chain management challenges, food security was found to be improved and customer satisfaction enhanced. However, in the absence of such technologies, it was found that it is difficult to develop effective and sustainable knowledge-based food supply chains in Zimbabwe. It is recommended that all food producers, intermediaries, suppliers, consumers, and other stakeholders make use of knowledge-based food supply chains that are enhanced by different technologies to ensure food security and customer satisfaction.
Experimental Study of the Drying Kinetics of Products With High Water Content - Application on Green Chilli -
Authors: Chouchane Nacer , Houhou Hatem , Fergeni Ahmed , Chouchane Hammam 
Published: August 2022

Abstract
The main objective of this work is to determine the graphs of relative humidity loss, and the speed of drying for green pepper, to identify the characteristic parameters influencing the drying of products with high humidity content, and to establish satisfactory models that characterize the drying kinetics. This experimental study was carried out using an indirect type of a solar dryer, which functions in the mode of natural convection, intended for the thermal treatment to medium duration of the agro-alimentary products. In this work, we are interested in the evolution of the temperature and the mass of the material to be dried, whose manipulations took place in May and July of the year 2009.
Experimental study of the correlation for turbulent burning velocity at subatmospheric pressure
Authors: Vargas Arley Cardona , Tumay Hernando Alexander Yepes , Amell Andrés 
Published: August 2022

Turbulent burning velocity is one of the most relevant parameters to characterize the premixed turbulent flames. Different correlation has been proposed to estimate this parameter. However, most of them have been obtained using experimental data at atmospheric pressure or higher. The present study is focused on obtaining a correlation for the turbulent burning velocity using data at sub-atmospheric pressure. The turbulent burning velocity was experimentally calculated using the burner method, where turbulent premix flames are generated in a Bunsen burner. Stoichiometric and lean conditions were evaluated at a pressure of 0.85 atm and 0.98 atm, whereas the turbulence intensity was varied for each condition. Perforated plates and a hot-wire anemometer were used to generate and measure the turbulence intensity. Schlieren images were used to obtain the average angle of the flame and calculate the turbulent burning velocity. Experiments and theory show that the turbulent deflagration rate decrease as pressure decrease. The turbulent deflagration speed decreased by up to 16 % at 0.85 atm concerning atmospheric conditions for the same turbulence intensity, discharge velocity, and ambient temperature, according to the experimental results. The comparison among the experimental results at sub-atmospheric conditions and the correlations reported in the literature exposes prediction issues because most of them are fitted using data at atmospheric conditions. A general correlation is raised between turbulent burning velocity (ST), laminar burning velocity (SL) and turbulence intensity (u’) proposed from the experimental data. This correlation has the form For sub-atmospheric and atmospheric conditions, the coefficients were determined
Social and ecological climate change vulnerability assessment in the Indus delta, Pakistan
Authors: Solangi Ghulam Shabir , Siyal Altaf Ali , Siyal Zain-ul-Abdin , Siyal Pirah , Panhwar Sallahuddin , Keerio Hareef Ahmed , Bhatti Nabi Bux 
Published: August 2022

Abstract
Due to seawater intrusion into the Indus delta, Pakistan under changing climate scenarios, the local communities of the delta are under threat of land and livelihood. The present study was initiated to analyze community perceptions about the social and ecological climate change vulnerability in the Indus delta, Pakistan. About 500 permanent residents of the delta were interviewed using a well-structured questionnaire. The IBM SPSS software was used to analyze the data based on the Pearson chi-square, Goodman, Kruskal's analyses, and Foster Greer Thorbeck (FGT) techniques. Analysis of the data revealed that the people in the delta had poor infrastructure and living standards, and limited social activities. Most of the people were illiterate, and the average family size was 11. On average, 4.7 members lived in a single room, and most of the houses were made of wood. Based on FGT techniques, about 88.4% of the population were living below the poverty line. The statistical analysis identified seawater intrusion and climate change as the most significant parameters affecting soil fertility, water quality, vegetation, mangroves, and livelihood. A large portion of the respondents strongly demanded the ensured freshwater flow to save the ecosystem, water resources, and the livelihood of the delta communities.
Spatial water quality analysis of the watercourses in Northwestern New Territories (Hong Kong)
Authors: Huang Ming , Zou Hui , Tan Junyan 
Published: August 2022

Abstract
River water is an important source for drinking water supply in Northwestern New Territories of Hong Kong. Thus, there is no denying the fact that monitor the quality of river water is a must for the locals. In this study, a mixed multivariate analysis method was used to lower monitoring costs by optimizing the layout of water quality monitoring stations. To this purpose, the data from a period of five years and over 36,000 observations was evaluated in this article. The cluster analysis approach was also used to categorize monitoring stations into three groups. What's more, three latent factors that predominantly influence the river water quality were assessed using factor analysis: anthropogenic pollution, seawater intrusion and geological processes, and the nitrification process. A spatial pattern using the three latent factor scores was plotted and six redundant monitoring stations were identified by this pattern. Finally, discriminant analysis was used to extract seven significant parameters. The results showed that the surface water-monitoring program of the watercourses in the Northwestern New Territories (Hong Kong) could be adjusted by reducing the monitoring stations to 18 and the measured chemical parameters to seven to ensure the detection of water quality and reduce the cost.
Efeitos da Urbanização para a Degradação das Áreas de Preservação Permanente: O Caso do Córrego Arareau no Município de Rondonópolis, Mato Grosso
Authors: Silva Samilli Santilli Braga da , Vasconcelos Monalisa Janaya Castelo da Silva , Aguiar Leonardo Orlando Campos de , Macedo Luís Otávio Bau 
Published: August 2022

O artigo apresenta um estudo bibliográfico e análise por imagens georreferenciadas sobre os efeitos da urbanização e os impactos gerados para a degradação do corrégo Arareau, no perímetro urbano do município de Rondonópolis, Mato Grosso. O objetivo desta pesquisa foi elucidar as alterações e os possíveis impactos gerados ao córrego Arareau, por conta da falta de planejamento e crescimento desordenado da urbanização no município de Rondonópolis - MT. Os resultados apontam que os efeitos são severos e que existe grande supressão vegetal, ocupação irregular da mata ciliar, erosão e lançamento de carga de esgoto via galeria pluvial ao longo de todo córrego. O estudo aponta a realidade da Áreas de Preservação Permanente (APP) do córrego Arareau no decorrer do processo da expansão urbana, evidencia que o aumento gradativo e irregular do crescimento urbano ao longo do perímetro da cidade trouxe consequências ambientais para o curso fluvial e redução da capacidade de suporte para o abastecimento municipal. Constatou-se que a Área de Preservação Permanente (APP) total do córrego Arareau, nos limites do perímetro urbano, do município de Rondonópolis, corresponde a 126 hectares, tendo em vista uma área de proteção de 50 metros, para os cursos d’água que tenham de 10 a 50 metros de largura. Aferiu-se ainda que, desse total, cerca de 31,31 hectares encontram-se degradados (25%). Os resultados do estudo apontam para a necesssidade de uma intervenção urgente e imediata, que possibilite a redução dos impactos ambientais atuais, visando a preservação do ecossistema da área do córrego, responsável pela proteção das áreas de preservação permanente, bem como do corpo hídrico que atualmente encontra-se em condições de reversão. Nesse sentido serão necessários esforços do poder público municipal e mobilização da iniciativa privada, alcançando toda a sociedade civil.
Are Regulatory Standards Enough to Leverage Forest Restoration? A Brazilian Case Study
Authors: Moura Ciro Jose Ribeiro de , Nunes Maria Fernanda S. Quintela da C. 
Published: August 2022

Environmental offsetting is a compensation for a deforested or degraded area usually in the form of forest recovery. We provide an update on the ongoing regulatory standards (RS) regarding ecological restoration in Brazil, analyzing the existence of monitoring protocols. The introduction of Environmental Rural Registry (CAR) created by law in 2012 has become the main driver of local RS. The aim of CAR is to guarantee forest cover on rural properties by the force of RS, but it lacks to consider the vegetation structure, functionality, and quality of the vegetation. Currently only four states in Brazil uses a protocol that includes ecological criteria as a measurement of success. The existence of a specific legislation for forest restoration may enhance restoration effectiveness by clarifying the restoration process and regulations to those stakeholders involved in implementing restoration projects. It is necessary for RS to include diverse technical approaches, providing the opportunity for solutions contemplating local possibilities and conditions.
2,5-Diketopiperazines: A Review of Source, Synthesis, Bioactivity,
Structure, and MS Fragmentation
Authors: Jia Jia , Yao Jianling , Kong Jiao , Yu Axiang , Wei Jing , Dong Ying , Song Ruolan , Shan Dongjie , Zhong Xiangjian , Lv Fang , Fan Qiqi , She Gaimei 
Published: August 2022

Background:
2,5-Diketopiperazines (DKPs), also called cyclic dipeptides, are
the simplest peptide derivatives in nature that are formed by the condensation of two amino
acids. They are an important category of bioactive substances with various structures.

Objective:
This review focuses on the natural sources, synthetic processes, biological
properties and MS fragmentation regularity of simple DKPs, in order to provide a reference
for exploring future scientific and therapeutic potentials of these compounds.

Method:
Pertinent information was collected and organized from several electronic scientific
databases (e.g., Web of Science, China Knowledge Resource Integrated, ScienceDirect,
PubMed, Wanfang Data and Google Scholar), PhD and MS dissertations.
There are 107 articles published from the early 20th century to 2021 that were reviewed
in this work.

Results:
DKPs have been obtained from a broad range of natural resources, including fungi,
bacteria, plants, and animals, and have been synthesized by chemical and biological
methods. DKPs have various pharmacological activities, including anticancer, antibacterial,
antithrombotic, neuron protective, analgesic, and other activities. Mass spectrometry
is the most common method for the structural analysis of DKPs. DKPs can be quickly
screened and identified by MS according to the mass spectrum fragmentation pattern.

Conclusion:
As a category of relatively unexplored compounds, DKPs have been demonstrated
to have various bioactivities, especially with antitumor and antibacterial activities.
However, the existing research on DKPs is still in the early stage, and their application in
drug development needs to be further studied.
Next-generation Sequencing for Surveillance of Antimicrobial Resistance
and Pathogenicity in Municipal Wastewater Treatment Plants
Authors: Cuetero-Martínez Yovany , de los Cobos-Vasconcelos Daniel , Aguirre-Garrido José Felix , Lopez-Vidal Yolanda , Noyola Adalberto 
Published: August 2022

Abstract:
The World Health Organization (WHO) ranks antimicrobial resistance (AMR)
and various pathogens among the top 10 health threats. It is estimated that by 2050, the
number of human deaths due to AMR will reach 10 million annually. On the other hand,
several infectious outbreaks such as SARS, H1N1 influenza, Ebola, Zika fever, and
COVID-19 have severely affected human populations worldwide in the last 20 years. These
recent global diseases have generated the need to monitor outbreaks of pathogens and
AMR to establish effective public health strategies. This review presents AMR and pathogenicity
associated with wastewater treatment plants (WWTP), focusing on Next Generation
Sequencing (NGS) monitoring as a complementary system to clinical surveillance.
In this regard, WWTP may be monitored at three main points. First, at the inlet (raw
wastewater or influent) to identify a broad spectrum of AMR and pathogens contained in
the excretions of residents served by sewer networks, with a specific spatio-temporal location.
Second, at the effluent, to ensure the elimination of AMR and pathogens in the
treated water, considering the rising demand for safe wastewater reuse. Third, in sewage
sludge or biosolids, their beneficial use or final disposal can represent a significant risk
to public health. This review is divided into two sections to address the importance and
implications of AMR and pathogen surveillance in wastewater and WWTP, based on
NGS. The first section presents the fundamentals of surveillance techniques applied in
WWTP (metataxonomics, metagenomics, functional metagenomics, metaviromics, and
metatranscriptomics). Their scope and limitations are analyzed to show how microbiological
and qPCR techniques complement NGS surveillance, overcoming its limitations.
The second section discusses the contribution of 36 NGS research papers on WWTP
surveillance, highlighting the current situation and perspectives. In both sections, research
challenges and opportunities are presented.
Construction of Circadian Clock Signature for Tumor Microenvironment in Predicting
Survival for Cutaneous Melanoma
Authors: Zeng Ni , Xia Qingyue , Li Yueyue , Ma Liwen , Cheng Yuxin , Chen Yihe , Lu Qian , Lu Zhiyu , Wu Di , Luo Dan 
Published: August 2022

Objective:
We explored circadian clock-related genes (CCRG) to establish a risk model and identify
associations with the tumor immune microenvironment in cutaneous melanoma (CM).

Methods:
Circadian clock genes were downloaded from Circadian Gene Database. To explore CM-related
circadian clock genes, we combined multivariate cox regression associated with least absolute shrinkage and
selection operator (LASSO) regression in the Cancer Genome Atlas (TCGA) and validated it in the GSE65904
dataset. Time-dependent receiver operating characteristic curve (ROC) and Kaplan-Meier analysis were calculated
to determine a CCRG risk score model. In addition, the overall survival nomograms of clinicopathological
factors and circadian clock-related gene signatures. Additionally, we evaluated the connection between
circadian clock-related genes with immune checkpoint inhibitors and immune cell infiltration.

Results:
Two circadian clock-related signatures were established. The risk model included SEMA4D (p<0.001,
HR: 0.709, 95% CI: 0.581 to 0.867) and SOD-2 (p=0.009, HR: 0.790, 95% CI: 0.663 to 0.944) in patients with
TCGA melanoma. The risk model was based on two CCRGs enriched in base excision repair, glycosylphosphatidyl
(GPI), and one carbon of the folate pathway. The overall survival was lower in the high-risk group. In addition,
the circadian-clock signature may be able to evaluate the immunotherapy response.

Conclusions:
We developed and validated a circadian signature to characterize the clinical significance and
tumor microenvironment of cutaneous melanoma, revealing that circadian rhythms may impact cutaneous melanoma.