bluuebunny/crossref_metadata_2025_split huggingface dataset:
Public Awareness on Biodiversity Conservation and Well-Being: Case of Gunung Mulu National Park, Sarawak
Authors: Ibrahim Mohamad Syahrul Nizam , Assim Mohd Ibrani Shahrimin Adam , Johari Shazali , Mohammad Syarifah Kamariah Wan , Afandi Syamsul Herman Mohammad , Hassan Suziana 
Published: June 2022

Abstract
Lack of public awareness of biodiversity conservation is the leading cause of biodiversity loss. This needs to be emphasized by stakeholders in the conservation effort, particularly in some major conservation areas, including the UNESCO World Heritage sites of Gunung Mulu National Park (GMNP). As a result of threats such as natural catastrophes, pollution, poaching, and uncontrolled urbanization or human development, GMNP is at risk of being inscribed on the List of World Heritage in Danger. The UNESCO status is possible to be drawn if its criteria are not maintained or degraded due to a lack of emphasis on awareness of the importance of the site. However, it is still limited information on to what extent is the public aware of the importance of biodiversity conservation in GMNP and its relationship to their well-being. Thus, the study aims to examine the level of awareness (knowledge, attitude, and experience) among local community and visitors in GMNP towards biodiversity conservation; and determine their well-being, specifically on environmental, economic, and social factors concerning conservation awareness. A validated questionnaire was distributed to the visitors (n=87) and local community (n=99) through an online and face-to-face survey. Based on the awareness constructs, their level of knowledge and experience is high, while attitude portrays a moderate level. The visitors have a higher level of knowledge, attitude, and experience than the local community. The level of education and number of dependents had influenced their awareness of conservation. In terms of well-being, the economic and social factors had significantly predicted awareness accordingly. It shows that the dimensions of the neighborhood, life and social relations, services and facilities, education, culture, and monthly income influence their current level of awareness of biodiversity conservation. The empirical study provides insights into developing a biodiversity conservation framework for GMNP that emphasizes community psychology as part of the social movement toward holistic management in the park.
Characterization of briquettes developed from banana peels, pineapple peels and water hyacinth
Authors: Mibulo Tadeo , Nsubuga Denis , Kabenge Isa , Wydra Kerstin D. 
Published: June 2022

Abstract
Background: Uganda's energy needs are heavily reliant on biomass sources. This dependency of Uganda's burgeoning population on biomass for household and commercial purposes is posing pressure on natural resources such as forests. This study was carried out to investigate the utilization of some of the country's highly produced agricultural waste for the creation of biofuels.Methods: Pineapple peels, banana peels and water hyacinth were utilized for generation of both carbonized and uncarbonized briquettes. Physical properties and calorific values for the developed briquettes were determined through thermogravimetric analysis and using a bomb calorimeter.Results and conclusion: Pineapple peel carbonized briquettes had the highest calorific value (25.08 MJ/kg) followed by a composite of banana peels and pineapple peels (22.77 MJ/kg). The moisture content for briquettes ranged between 3.9 to 18.65%. Uncarbonized briquettes had higher volatile matter (ranging between 62.83 and 75.1%) than carbonized briquettes (ranging between 22.01 and 24.74%). Uncarbonized briquettes had shorter boiling time (ranging between 27 and 36 minutes for 2.5 liters) than carbonized briquettes (ranging between 26 and 41 minutes). Water hyacinth alone produced briquettes with low calorific values (16.22 MJ/kg), however, calorific values increased when mixed with banana (20.79 MJ/kg) or pineapple peels (20.55 MJ/kg). The findings reveal crucial information on how agricultural wastes might be used to augment the energy sources pool in order to protect the environment and creating social stability in the community.
Neurobiological substrates of chronic low back pain (CLBP): A brain [99mTc]Tc-ECD SPECT/CT study
Authors: Wichert-Ana Lauro , Lia Erica Negrini , Papassidero Priscila Colavite , Coelho Eduardo Barbosa , Dach Fabíola , Alexandre-Santos Leonardo , Trevisan Ana Carolina , Santos Lucas Emmanuel Lopes e , Silvah Jose Henrique , Lanchote Vera Lúcia , Pasqua Oscar Della 
Published: June 2022

Abstract
Recent neuroimaging studies have demonstrated pathological mechanisms related to cerebral neuroplasticity in chronic low back pain (CLBP). Few studies have compared cerebral changes between patients with and without pain in the absence of an experimentally induced stimulus. We investigated the neurobiological substrates associated with chronic low back pain using [99mTc]Tc-ECD brain SPECT and correlated rCBF findings with the numeric rating scale (NRS) of pain and douleur neuropathique en 4 questions (DN4). Ten healthy control volunteers and fourteen patients with neuropathic CLBP due to lumbar disc herniation underwent cerebral SPECT scans. A quantitative comparison of rCBF findings between patients and controls was made using the Statistical Parametric Mapping (SPM), revealing clusters of voxels with a significant increase or decrease of rCBF. The intensity of CLBP was assessed by NRS and by DN4. The results demonstrated rCBF increase in clusters A (occipital and posterior cingulate cortex) and B (right frontal) and decrease in cluster C (superior parietal lobe and middle cingulate cortex). NRS scores were inversely and moderately correlated with the intensity of rCBF increase in cluster B, but not to rCBF changes in clusters A and C. DN4 scores did not correlate with rCBF changes in all three clusters. Perspective: This study will be important for future therapeutic studies that aims to validate the association of rCBF findings with the pharmacokinetic and pharmacodynamic profiles of therapeutic challenges in pain.
Analysis of Determinants of Groundwater Depletion in Punjab: A Case of India
Authors: Bhardwaj Mandeep , Dutta Tanima , Singh Japal 
Published: June 2022

Abstract
Agriculture is the lifeline for many economies, India being one of them. Many issues have arisen because of intense agriculture adopted in India, especially since nineties. Groundwater depletion is one of the burning issue plaguing Indian agriculture. Punjab, our study area is flagged as over-exploited area since the nineties. This study focuses on identifying the determinants of poor groundwater condition in Punjab from 1996 to 2018. The methodology used to establish the relationship between various agriculture related variables and groundwater depletion is Feasible Generalised Least Square model as OLS has inherent problems when it deals with panel data. The study has shown a positive significant effect of changing cropping intensity, well density, irrigation through tube-well, and technology (tractor) on depletion of groundwater. However, change in area under paddy has shown a negative effect on groundwater depletion due to the Preservation of Subsoil Water Act, 2009. So, it implies Government must have to find out alternatives way of reducing the intensive use of groundwater and need to reframe its agriculture policies.
Palm oil-containing high-fat diet with LPS and CCl4 C57BL/6J mouse model induces the progression of NASH/liver fibrosis and remodels the gut microbiota and its function
Authors: Panyod Suraphan , Wu Wei-Kai , Hsieh Ya-Chi , Tseng Yea-Jing , Peng Sin-Yi , Chen Rou-An , Huang Huai-Syuan , Chen Yi-Hsun , Shen Ting-Chin David , Ho Chi-Tang , Liu Chun-Jen , Chuang Hsiao-Li , Huang Chi-Chang , Wu Ming-Shiang , Sheen Lee-Yan 
Published: June 2022

Abstract

Animal models of non-alcoholic steatohepatitis (NASH) and liver fibrosis are essential for preclinical research of novel drugs. A high-fat diet (HFD) animal model has an indispensable role in the research of gut-liver axis by generating an imbalance of gut microbiota and intestinal leakage, resulting in translocation of harmful bacterial metabolites and lipopolysaccharides (LPSs) to the liver, triggering hepatic immune responses, and stimulating NASH and liver fibrosis. Replacing trans-fat with palm oil in HFDs is an emerging animal model with human translatability in terms of liver biopsy phenotype and transcriptome changes. We developed the NASH and fibrosis C57BL/6J mouse model using a palm oil-containing high-fat diet (P-HFD) combined with LPS to simulate gut dysbiosis and endotoxemia and examined the role of carbon tetrachloride (CCl4) on the gut-liver axis. We developed the mouse models, and the mice were fed P-HFD with or without intraperitoneal LPS/CCl4 injections. NASH/fibrosis progression and gut microbiota shift were examined at 4, 8, 12, 16, 20, and 24 weeks (n=192). The animal model showed obesogenic and metabolic changes, hepatomegaly, increased hepatic lipid levels, NASH phenotype, increased gut dysbiosis, changes in gut microbiota and its function, reduced beneficial bacteria, increased pathogenic related microbiome, intestinal leakage, and endotoxemia. P-HFD with LPS supplementation resulted in comparable NASH, intestinal leakage, and endotoxemia phenotypes compared with the P-HFD group, but worsened the degree of intestinal microbiota dysbiosis by increasing the occurrence of pathogenic bacteria and reducing beneficial microbiota. P-HFD with CCl4 resulted in a liver fibrosis phenotype and produced a more severe gut microbiota shift. These mouse models could be informative for a researcher focused on the gut-liver axis and could be used as valuable tool for preclinical drug testing.
Pan-cancer profiles of cuproptosis gene set regarding the potential values of diagnosis, prognosis, immune therapy, and drug therapy prediction
Authors: Liu Hengrui , Tang Tao 
Published: June 2022

Abstract
Background
A recent paper has revealed a novel cell death pathway, the cuproptosis, a programmed cell death based on copper. This study aimed to evaluate the pan-cancer genomics and clinical association of four pro-cuproptosis genes SLC31A1, FDX1, DLAT, and LIAS, and an anti-cuproptosis gene ATP7B.
Methods
By mining multi-omic profiling data, we performed a comprehensive and systematic characterization of cuproptosis genes across more than 9000 samples of 33 types of cancer.
Results
ATP7B was the most mutated gene. UCEC and SKCM had the most cuproptosis gene mutation while the mutation of LIAS was associated with worse survival of BRCA. Brain cancer and lung cancer were found to potentially have a higher cuproptosis compared to normal tissues because their anti-cuproptosis gene ATP7B was downregulated with the pro-cuproptosis genes overexpressed in cancer tissues. On the contrary, KIRC was found to potentially have a lower cuproptosis. The cancer-non-cancer expression patterns were confirmed at the protein level for lung cancer and kidney cancer. The cuproptosis gene expression was associated with the survival of LGG, KIRC, and ACC. Half of the cancer types showed correlations between copy number variation and expression for these cuproptosis genes. The copy number variations of KIRC, UCEC, and ACC were associated with survival. The expression of DLAT, LIAS, and ATP7B were negatively correlated with the methylation in most of the cancer types. The cuproptosis miRNA and pathway regulation networks were constructed. The cuproptosis genes were correlated with immune cell infiltration levels of multiple immune cells. The cuproptosis signature performed better in the prediction of immune therapy than MSI. score, TMB, T.Clonality, and B. Clonality and might potentially associate with the survival of immune therapy patients in SKCM and KIRC. These cuproptosis genes were correlated with the sensitivity of cancer cells to multiple drugs.
Conclusion
Cuproptosis might play a role in brain cancer, lung cancer, and kidney cancer with potential values of diagnosis, prognosis, immune therapy, and drug therapy prediction.
Pan-cancer profiles of the cuproptosis gene set
Authors: Liu Hengrui 
Published: June 2022

Abstract
A recent study has revealed a novel cell death pathway, called “cuproptosis”, a programmed cell death based on copper. A total of 12 genes were involved in the cuproptosis pathway, including 7 pro- cuproptosis genes (FDX1, LIAS, LIPT1, DLD, DLAT, PDHA1, and PDHB) genes, 3 anti-cuproptosis genes (MTF1, GLS, and CDKN2A), and 2 key copper transporters ATP7B and SLC31A1. The insight into these cuproptosis genes in cancer is necessary to understand cuproptosis-related tumorigenesis and to develop the cuproptosis pathway as a potential therapeutic target for clinical cancer treatment. By mining multi-omic profiling data, we performed a comprehensive and systematic characterization of the cuproptosis of these 12 genes across more than 9000 samples of 33 types of cancer. This letter not only revealed diverse mechanisms of the gene expression regulations of the cuproptosis gene set in cancer but also analyzed the potential associations between cuproptosis and other common cancer pathways, providing an overall picture of cuproptosis in cancer for future reference. This study comprehensively clarified the genomic pan-cancer profiles of the cuproptosis gene set regarding the SNV, CNV, methylation, mRNA expression, pathway cross-talk, and miRNA regulations across 33 solid tumors. Our findings revealed that genomic alterations and miRNA-mRNA network-mediated ectopic expression of cuproptosis genes were involved in the activation of other cancer-related pathways and also identified KIRC as a potential cancer type that might be affected by cuproptosis. We think, as the rase of the cuproptosis cancer research, these in-time profiles will provide a genetic overview and useful information for future studies on the cuproptosis in cancers.
BeRSTID: A Behaviour Real-Time Spatial Tracking Identification System used for Cat Behaviour Monitoring in an Animal Shelter
Authors: Eagan Bailey , Eagan Ben , Protopopova Alexandra 
Published: June 2022

Abstract
The ability to efficiently track animal behaviour in an animal shelter has direct lifesaving applications. However, monitoring behaviour is a challenge as time and financial resources are often limited, and the size and needs of animal populations within shelters are commonly in flux. Individualized care and early recognition of distress in cats are often missed. Our research required a method of behavioural observation that was simple, accessible, used limited human and computer resources and allowed for real-time feedback. Here, we present BeRSTID, an open-source behaviour real-time spatial tracking identification system demonstrated on six cats in an animal shelter using unique 2D fiducial markers. The markers were attached to custom veterinary paper identification collars for feedback on individual animal behaviour over time. Our findings show BeRSTID correlated closely to human-coded data in both real-time and post-event processing modes of eating and drinking behaviours of cats in naturalistic shelter environments. By building upon a lateral concept of marker tracking for direct applied use in a new context, we present a low-barrier user-friendly solution using common technologies that can track and help improve welfare in animal care facilities such as shelters. Further extensions of BeRSTID can be generalized to track unique subjects in a range of environments for multiple use cases.
Neural network model predictions for phosphorus management strategies on tile-drained organic soils
Authors: Grenon Geneviève , Hamrani Abderrachid , Madramootoo Chandra A. , Singh Bhesram , von Sperber Christian 
Published: June 2022

Abstract
The organic soils of Holland Marsh, Ontario are used for intensive vegetable production, which demands high-phosphorus (P) fertilizer applications. Such high-fertilizer applications on these tile-drained lands lead to eutrophication in surrounding water bodies. This study investigated the application of neural network (NN) models for deriving P management strategies. Seven NN models were assessed using the following two approaches: a time series with 1-year training and 1-year testing of the models and a randomization analysis where a random 80% of data was used for model training and the remainder for model testing. The feed-forward model using the randomization and the long-short-term memory model using time-series outperformed all other models. Two strategies for P management were evaluated: a direct approach that predicts P loads using new fertilizer rates or controlled drainage discharge rates, and a particle swarm optimization (PSO) that used a percent reduction of actual P loads to predict an optimal water table management strategy. Overall, the direct approach identified a water table level of 30 cm from the soil surface during the spring and 80 cm during the summer period as optimal to reduce P loads. The PSO analysis showed that a reduction of P loads by 20% in the spring and up to 40% in the summer through water table control would not compromise crop production.
Date production in the Al-Hassa region, Saudi Arabia in the face of climate change
Authors: Almutawa Athari Abdulaziz 
Published: June 2022

AbstractOne of the major crops produced in Saudi Arabia is the date palm tree, Phoenix dactylifera L., as it can tolerate the harsh desert climate. One of the largest palm production areas in Saudi Arabia is the Al-Hassa oases, it has approximately 3 million date palms. However, by the end of the 21st century (2071–2100), climate change impacts will create a strain on the date production industry in the Al-Hassa region. Therefore, current practices need to be altered and various strategies must be adopted as changing the industry or moving regions are not viable options. This paper examines the impact of possible global warming based on various general circulation models, regional climate models, and scenarios developed by the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios on the climate in Al-Hassa by mid and end of the century. This paper discusses how these effects may impact date production and its distribution in the study area based on the resources available and on an individual, community, regional, national, and global scale. Possible options for sustaining the industry and what barriers or limitations may be faced by the proposed adaptation measures are discussed in this paper.
Inactivation of Escherichia coli by atmospheric pressure plasma jet in water
Authors: Bakhshzadmahmoudi Mehdi , Morshedian Nader , Mehramiz Ahmad , Kharaghani Manijeh 
Published: June 2022

Abstract
The main aim of this work is inactivation of Escherichia coli in water using a laboratory-scale radio-frequency atmospheric pressure Argon plasma jet. This bacterium is widely present in the environment, especially in drinking water, and its pathogenic effects are very harmful. For this purpose, an Argon flow rate of 3.5 slm, maximum plasma power of 200 W, and discharge frequency of 13.56 MHz was conducted to generate a uniform plasma plume for water treatment. 150 ml of drinking water contaminated by E. coli was exposed to the radiation of plasma placed about 3 cm within the water, the treatment time varied from 2 to 6 minutes at 100, 150, and 200 W of plasma input power. The temperature of the plume, discharge current and voltage, and electron density were all measured to characterize the plasma. Active species such as excited molecules, ions, and radicals produced in the plasma in water were detected using the optical emission spectroscopy method. The decreasing behavior of live bacteria versus exposure time and plasma jet input power was observed, and finally, at the discharge power of 200 W and 6 min, an effective inactivation was achieved and the number of bacteria reduced from 92×104 to less than 1.7 MPN/100 ml.
Unraveling the Structure-Dependent Inhibitory Effects of Ginsenoside Series Compounds
on Human Cytochrome P450 1B1
Authors: Zhao Tingting , Chen Xiaodong , Yu Hong , Du Jie , Wang Dalong , Wang Changyuan , Meng Qiang , Sun Huijun , Liu Kexin , Wu Jingjing 
Published: June 2022

Background:
Cytochrome P450 1B1(CYP1B1) is an extrahepatic P450 isoenzyme that can participate in
processes of undermining the effectiveness and safety of anti-cancer therapy. Ginsenosides are the main active ingredients
in ginseng, which possesses rich pharmacological activities, including anti-cancer activity and organ protection.
However, the effect of ginsenosides on the activity of CYP1B1 remains unclear.

Objective:
The present study aimed to investigate the inhibitory effect of ginsenosides on CYP1B1 and reveal the
structure-inhibitory activity relationship.

Methods:
Firstly, recombinant CYP1B1 and EROD reactions were used to evaluate the inhibitory effect of ginsenosides.
Secondly, molecular docking was used to simulate the interactions between ginsenosides and CYP1B1. Finally,
the structure-inhibitory activity relationship was analyzed.

Results:
The ginsenosides, Rb2, Rd, and Rg3, significantly inhibited CYP1B1; the ginsenoside Rd showed the
strongest inhibition effect, with a Ki value of 47.37 μM in non-competitive mode. Notably, ginsenoside Rd formed
hydrogen bonds with two key amino acid residues of CYP1B1, and one bond was between the glycosyl in position
20 and ALA330, which also made ginsenoside Rd close to the heme iron of CYP1B1. In contrast, ginsenosides, Rb2
and Rg3, which showed weaker inhibition, interacted with only one CYP1B1 residue by the hydrogen bond, which
was far away from the heme iron. Finally, the structure-inhibitory activity relationship analysis demonstrated that the
number of glycosyls in position 20 and the type of sapogenins in the ginsenoside structure are the key factors determining
inhibitory activity. Meanwhile, ALA330 was a vital amino acid in the potent inhibition of CYP1B1 by ginsenosides.

Conclusion:
A structure-dependent inhibitory effect on CYP1B1 was revealed for ginsenosides, among which ginsenoside
Rd showed the strongest inhibition due to its mono-glycosyl in position 20 of the ginsenoside parent structure.
These findings would provide evidence for the synthesis of novel CYP1B1 inhibitors to augment the anti-cancer
therapeutic effect.