bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insight on pollution and energy recovery potential of leachate from landfill sites of Northern India
Authors: Bhagwat Anjali , Ojha Chandra Shekhar Prasad , Kumar Rajat , Tyagi Vinay Kumar 
Published: September 2023

Abstract

Leachate is a highly digested by-product of waste degradation originating from municipal landfills. It has high pollution potential and needs to be treated before disposal. Environmentally sustainable technology like microbial fuel cells (MFCs) is becoming a novel choice as it treats and also produces energy from leachate. Nevertheless, the suitability of energy (biogas) recovery depends upon the leachate characteristics. The leachate from three landfill sites of Ghazipur, Okhla and Bhalswa in Delhi was characterized. The findings revealed that the organic strength of leachate in terms of biochemical oxygen demand (BOD) and chemical oxygen demand (COD) do not support biogas production. Further, high concentrations of NH3-N and chloride may exert inhibitory effects on biomethanation. Heavy metals such as Fe, Cr and Ni show a positive effect, whereas Zn and Cu inhibit the leachate to biogas conversion. Leachate Pollution Index (LPI) values for Ghazipur, Okhla and Bhalswa were 24.77, 26.28 and 24.64, respectively. Since the LPI is greater than 15, leachates need to be treated. When pollution potential was assessed using sub-indices, the comparative leachate pollution for organics is Okhla > Bhalsawa > Ghazipur, for inorganic pollutants Ghazipur > Okhla > Bhalwsa, and for heavy metals, the order follows Okhla > Bhalswa > Ghazipur. Further, PCA analysis of the three landfills shows that the leachate from Ghazipur and Bhalswa are organics rich. For Okhla, the leachate characteristics are mostly determined by inert waste contributed largely by construction and demolition (C and D) waste. Thus, Gahzipur and Bhalswa landfills may better support leachate-gas production over the Okhla landfill.
qMaLioffG: A single green fluorescent protein FLIM indicator enabling quantitative imaging of endogenous ATP
Authors: Arai Satoshi , Itoh Hideki , Vu Cong Quang , Nakayama Mizuho , Oshima Masanobu , Morita Atsuya , Okamoto Kazuko , Okuda Satoru , Teranishi Aki , Osawa Madori , Tamura Yoshiteru , Nonoyama Shigeaki , Takuma Megumi , Fujie Toshinori , Sarker Satya , Sudhaharan Thankiah , Kiya Taketoshi , Lane E. Birgitte , Kitaguchi Tetsuya 
Published: September 2023

Abstract
The widespread use of fluorescence lifetime imaging microscopy (FLIM) for quantitative imaging is hindered by the limited availability of FLIM-based genetically encoded indicators compatible with conventional 488 nm lasers. Here, we present qMaLioffG, a single green fluorescent protein FLIM indicator that shows fluorescence lifetime changes in ATP concentrations within the physiological range. This allows the quantitative imaging of endogenous ATP to investigate the cellular energy status of different cell types.
Buckling and springback behavior in hydro-pressing of thin-walled 5A06 aluminum alloy tubular component
Authors: Zhu Yuanpu , Cui Xiao-Lei , Chu Ruihua , He Jiuqiang 
Published: September 2023

Abstract

Buckling and springback defects are easily to be produced on the thin-walled aluminum alloy tubular components when they are manufactured by the hydro-pressing process. In this paper, the cross-sectional buckling and springback behavior of the thin-walled 5A06 aluminum alloy tube blanks with D/t greater than 50 during the hydro-pressing process using a die with middle parting structure were researched by the experiment and numerical simulation. The effect of the internal pressure loading path on the cross-sectional shape and size of the tubular components was firstly discussed. Then, the buckling and springback mechanisms of the cross-section were revealed during the hydro-pressing process. It is shown that the cross-sectional dimension deviation of the tubular components obtained under a constant internal pressure of 0.15ps or a stepwise increasing internal pressure from 0 to 1.00ps with the upper die movement is lower than that under the constant internal pressures of 0.25ps and 0.50ps. During the hydro-pressing forming process, a large bending deformation that occurs on the edge of the unsupported area will lead to buckling defect. Moreover, the deformation behavior of the straight wall is affected by the bending moment in the corner during the unloading process. On the one hand, a concave deformation happens on the straight wall during the unloading process of internal pressure. On the other hand, the concave cross-section will spring back outward in the process of die opening.
The impact of working on health-related quality of life in patients with head and neck cancers: a cross-sectional study
Authors: Takahashi Noriko , Hirooka Kayo , Sasaki Yoshiyuki , Fukui Sakiko 
Published: September 2023

Abstract
Purpose:
This study aimed to examine the impact of working on health-related quality of life (HRQOL) in patients with head and neck cancer (HNC) after surgery.
Methods:
Eighty outpatients with HNC were assessed using working status and the Functional Assessment of Cancer Therapy-Head and Neck version 4 (FACT-H&N). T-test/one-way analysis of variance were used to describe the mean FACT-H&N score and categorical variables. Univariate and multiple regression analyses were performed to determine the contribution of working on HRQOL.
Results:
The mean age was 58.7 ± 11.9 years, 63.8% were male, and the mean time since surgery was 12.3 ± 6.3 months. In the univariate analysis, working patients were younger (p = 0.019), had smaller T classification (p = 0.016), and were less likely to undergo adjuvant therapy (p = 0.007) and reconstruction (p = 0.003). Multiple regression analysis showed that working was positively associated with FACT-H&N (B = 10.81; p = 0.021).
Conclusions:
Working after HNC surgery may improve patients’ well-being, both functionally and physically. Moreover, management of treatment side effects and provision of rehabilitation to enable patients to work are required to achieve possible better HRQOL in patients with HNC. Therefore, healthcare professionals should deliver appropriate information and support patients to work.
The Rise and Fall of Nations: A Perspective from the Evolutionary Humean Farmer Game
Authors: Fabella Raul V. 
Published: September 2023

Abstract

We employ evolutionary game theory to derive an insight into the scholarship of the Rise and Decline of Nations. We construct the Evolutionary Humean Farmer Game which, following David Hume, employs two behavioral types: the reciprocal type (R) who offers help but will punish when betrayed; and the selfish type (S) who offers no help. Punishment is through assortative matching where the probability of matching with anR-type decays but improves with abidance. Modern scaffoldings of the opportunity cost of helpinge > 0and the cost of punishingp > 0are added. The levels of these parameters are established as Humean conventions which themselves change with the socio-physical environment. We employ Malthusian replication to mimic Hume’s protracted process of discovery. The unique evolutionary equilibrium of this game is the pureR-type (cooperator) population if and only if the benign inequality holds: the level of vigilancebexceeds the sum of the helping costeand the punishing costp.This condition supports a rise in the proportion ofR-types in the population thereby raising productivity and overall prosperity—the nation rises. But increasing prosperity and population growth profoundly change the socio-physical environment, in turn, changing prevailing conventions: reduce vigilancebwhile raising both the cost of helpingeand the cost of punishingp—what collectively Gibbons called the “loss of civic virtue”. If these changes reverse the benign inequality, the nation embarks on a trajectory of increasing defection, decreasing productivity and decline. JEL Classification: B0, B15, B31, C73
The role of BNIP3 and blocked autophagy flux in arsenic induced oxidative stress induced liver injury in rats
Authors: Zhi haiyan , Bi Dingnian , Lu Qingyue , Wang Hongling , Wang Yi , Lv Ying , Hu Yong 
Published: September 2023

Abstract

Arsenic is a widely distributed environmental toxic substance in nature. Chronic arsenic exposure can cause permanent damage to the liver of humans and animals, resulting to the death of poisoned patients. However, the mechanism of liver damage caused by arsenic poisoning is yet unclear. Here, four different concentrations of sodium arsenite (NaAsO2) [control group (0 mg/L), low dose (25 mg/L), medium dose (50 mg/L), and high dose group (100 mg/L)]were established to induce liver injury in rats. Took into account this, the relationship and potential mechanisms of oxidative stress, Bcl-2/adenovirus E1B-19-kDa interacting protein 3 (BNIP3), and inhibition of autophagy flux in liver injury caused by arsenic poisoning were studied. The results indicated that long-term exposure to NaAsO2 could induce oxidative stress, leading to high expression of BNIP3 and impaired autophagy flux, resulting in liver damage. This research provides an important basis for future research on liver damage caused by chronic arsenic exposure and prevention and treatment with BNIP3 as the target.
Beading plot: A novel graphics for ranking interventions in network evidence
Authors: Chen Chiehfeng , Chuang Yu-Chieh , Chan Edwin , Chen Jin-Hua , Hou Wen-Hsuan , Kang Enoch 
Published: September 2023

Abstract

Background:
Network meta-analysis enable comprehensive pairwise comparisons among all available treatments; therefore it enriches evidence for clinical decision-making, offering insights into treatment effectiveness and safety when faced with multiple options. However, the complexity and numerous treatment comparisons in network meta-analysis can challenge healthcare providers and patients. The purpose of this study aimed to introduce a graphic design to present complex rankings of multiple interventions comprehensively.
Methods:
Our team members developed a “beading plot” to summary probability of achieving the best treatment (P-best) and global metrics including surface under the cumulative ranking curve (SUCRA) and P-score. Implemented via the "rankinma" R package, this tool summarizes rankings across diverse outcomes in network meta-analyses, and the package received an official release on the Comprehensive R Archive Network (CRAN). It includes the PlotBead() function for creating beading plots, which represent treatment rankings among various outcomes.
Results:
Beading plot has been designed as an adaptation of the number line plot, which effectively displays collective metrics for each treatment across various outcomes. Using a scale from 0 to 1, it accommodates ranking metrics like P-best, SUCRA, and P-score. Continuous lines represent outcomes, and color-coded beads signify treatments.
Conclusion:
The beading plot is a valuable graphic that intuitively displays treatment rankings across diverse outcomes, enhancing reader-friendliness and aiding decision-making in complex network evidence scenarios. While empowering clinicians and patients to identify optimal treatments, it should be used cautiously, alongside an assessment of the overall evidence certainty.
Evaluation of the inhibitory potential of Bioactive compounds against SARS-CoV2 by in-silico approach
Authors: J Mariya Sneha Rani , P Akkarshana , V Neelaveni , Mohan Shalini , Rao Rajas M , PD Rekha , Muthulakshmi Lakshmanan 
Published: September 2023

Abstract

The COVID-19 (Coronavirus Disease 19) pandemic brought on by the SARS-CoV2 outbreak (Severe Acute Respiratory Syndrome Coronavirus 2) has stimulated the exploration of various available chemical compounds that could be used to treat the infection. This has driven numerous researchers to investigate the antiviral potential of several bioactive compounds from medicinal plants due to their reduced adverse effects compared to chemicals. Some of the bioactive compounds used in folklore treatment strategies are reported as effective inhibitors against the proliferative and infective cycles of SARS-CoV2. The secondary metabolites from plants are generally used to treat various diseases due to their intact medicinal properties. The present study analyses the inhibitory potential of phytocompounds from medicinal plants like Sphaeranthus indicus, Lantana camara and Nelumbo nucifera against SARS-CoV2 by molecular docking. Ten druggable protein targets from SARS-CoV2 are docked against the phytocompounds from the selected medicinal plants. The phytocompounds Astragalin, Isoquercetin, and 5-hydroxy-7-methoxy-6-c-glycosy flavone were found to have lower binding energy depicting their inhibitive potential compared with the reported inhibitors that are used in the treatment of SARS-CoV2 infection. To assess the compounds' potential as drugs, their ADMET characteristics were also examined. Sphaeranthus indicus, Lantana camara, Nelumbo nucifera six possible compounds were separately screened for ADME and toxicity characteristics, then the results were analyzed. Microsecond-level molecular dynamics simulations of both the ligands complexed with NSP15 revealed that the ligand induces allosteric effects on NSP15, which could lead to destabilization of NSP15 hexameric interface and loss of RNA binding.
Drug target prediction through deep learning functional representation of gene signatures
Authors: Zhou Yingyao , Chen Hao , King Frederick , Zhou Bin , Wang Yu , Canedy Carter , Hayashi Joel , Zhong Yong , Chang Max , Pache Lars , Wong Julian , Jia Yong , Joslin John , Jiang Tao , Benner Christopher , Chanda Sumit 
Published: September 2023

Abstract
Many machine learning applications in bioinformatics currently rely on gene identities extracted from input gene signatures, and fail to take advantage of preexisting knowledge about gene functions. We developed the Functional Representation of Gene Signatures (FRoGS) approach by training a deep learning model. FRoGS represents gene signatures projected onto their biological functions, instead of their identities, similar to how the word2vec technique works in natural language processing. We demonstrated that its application to L1000 datasets resulted in more effective compound-target predictions than models based on gene identities alone. Through further integration of additional pharmacological activity data sources, FRoGS significantly contributed to a large number of high-quality compound-target predictions, which were supported by in silico and/or experimental evidence. These results underscore the general utility of FRoGS in machine learning-based bioinformatics applications. Prediction networks pre-equipped with the knowledge of gene functions may help more readily uncover relationships among gene signatures acquired by large-scale OMICs studies on compounds, cell types, disease models, and patient cohorts.
Electric Road Systems: A No-Regret Investment with Policy Support
Authors: Rogstadius Jakob , Alfredsson Hampus , Sällberg Henrik , Faxén Karl-Filip 
Published: September 2023

Abstract

This study addresses the pressing issue of reducing greenhouse gas (GHG) emissions in the road freight sector. We investigate whether Electric Road Systems (ERS) for heavy duty trucks are a viable solution for the European Union to align the sector with economy-wide GHG reduction targets. Results are based on simulations in MOSTACHI, a new model for studying interaction effects between competing charging infrastructure and cost-minimizing vehicle operators. ERS impact is assessed on transport cost, GHG emissions, resource demand, and competing charging infrastructure. We find that for ERS to be a no-regret investment, an accompanying policy is needed that penalizes non-participation. This ensures the economies of scale necessary for the ERS infrastructure’s viability and reduces transport cost on average. With policy, ERS increases battery-electric truck uptake and GHG reductions and reduces demand for batteries and fossil and renewable fuels, throughout the infrastructure lifetime.
Experimental Study of the Hydraulic S-Jump with Bed Roughness
Authors: Fallahi Bashir , Heidarpour Manouchehr 
Published: September 2023

Abstract
A new method capable of defining the hydraulic jump peculiarities at 1, 1.33, 1.6, and 2 expanding ratios at 0, 1.33, and 2 cm bed roughness and Froude numbers within the 4.9 to 9.5 range was assessed. The impacts of expansion ratio and bed roughness elements on the basic hydraulic jump features, including the sequent depth, length, and energy loss, were investigated for a Froude number range. The results indicated that the abrupt expansion and roughness bed decreases the sequent depth and jump length by about 49.5% and 22.34%, respectively. In addition, the energy loss increased by 31.1% in comparison with the classical jump. Empirical relationships were obtained for the sequent depth and relative energy loss of hydraulic jump in an abrupt expanding channel with bed roughness. Using dimensional analysis, equations were achieved for the sequent depth ratio, the relative energy loss, and the relative jump length with acceptable accuracy.
Distribution, nest architecture, and forage plants of an endemic Wallacean species of stingless bee Wallacetrigona incisa (Apidae: Meliponini) in Sulawesi, Indonesia
Authors: Suhri Andi Gita Maulidyah Indraswari , Kahono Sih , Syamsir Syamsir 
Published: September 2023

Abstract
Wallacetrigona incisa is a Wallacean species endemic to Sulawesi Island, Indonesia. To protect natural colonies, their habitat must be kept stable. Hunting in natural habitats and moving colonies to unsuitable environments causes stress. Information on their habitat distribution has been revealed; however, information on their distribution still needs to be improved, and aspects of their ecology that are currently poorly understood need to be studied for conservation and utilization. We conducted research on their additional distribution in different locations in South and West Sulawesi provinces, nest architecture, and food plants by direct observation. Each nest was found, the GPS position was measured, habitat conditions were characterized, and pollen was collected to determine the forage plants. Twenty-seven living nests were recorded in South Sulawesi, and two in West Sulawesi. The most prominent distinctive nest architecture for the defense of the colony from damage by predation is the strong entrance covered with a thick, hard resin of the Agathis plant. From the analysis of pollen balls on the feet of bees, it was found that forage plants from 19 families and 38 types of pollen, and the three dominant species were Agathis celebica, Barringtonia asiatica, and Pigafetta elata. This finding is important for supporting the conservation of this Sulawesi endemic species.
Leaves from two Solanaceae species with different leaf morphological traits respond differently to imidacloprid foliar spray*
Authors: Nicolai Juan , Aires Eduardo Santana , Júnior Francisco Gilvan Borges Ferreira Freitas , Marques Isabelly Cristina Silva , Putti Fernando Ferrari , Ono Elizabeth Orika , Rodrigues Tatiane Maria 
Published: September 2023

Abstract

Imidacloprid (IMI) is an insecticide neonicotinoid widely used for controlling crop pests and usually applied by foliar spray. The insecticide causes changes in structural and functional aspects in different plant species. However, the foliar absorption rate, which is controlled mainly by micromorphological characteristics of the leaf surface, can be related to the response intensity. This study aimed to investigate the anatomical, physiological and biochemical responses to IMI foliar application in two Solanaceae species whose leaves have distinctive micromorphological features. Capsicum annuum has glabrous leaves, whereas Solanum aethiopicum has hairy leaves. IMI was applied using leaf pulverization. Leaf absorption and wettability tests were performed. Analyses of gas exchange, chlorophyll a fluorescence, peroxidase and superoxide dismutase enzyme activity, and lipid peroxidation were performed. Morphometric analyses of leaf blades were performed under light microscopy. 3,3-diaminobenzidina (DAB) was used for in situ detection of reactive oxygen species (ROS). In both species, IMI-treated leaves showed higher mesophyll thickness and more intense ROS staining than those in untreated leaves. Imidacloprid-treated C. annuum leaves showed more severe alterations in physiological and biochemical aspects than those in S. aethiopicum leaves. This was most evident in terms of CO2 assimilation rate, stomatal conductance, transpiration rate, and instant carboxylation efficiency. In addition, IMI-treated C. annuum leaves presented anatomical alterations including pronounced sinuosity on palisade parenchyma cell shape and increased intercellular spaces in spongy parenchyma. The most pronounced functional and structural alterations in IMI-treated C. annuum leaves was associated with their leaves micromorphological features, which increased wettability and probably IMI absorption.
Earthquake detection capacity of the Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET)
Authors: Nanjo K. , Yamamoto Y. , Ariyoshi K. , Horikawa H. , Yada S. , Takahashi N. 
Published: September 2023

Abstract

We studied the earthquake detection capacity of DONET (Dense Oceanfloor Network system for Earthquakes and Tsunamis) operating in the Nankai Trough, a target region monitored for future megathrust earthquakes. The focus was to evaluate the impact on this capacity from the prism of the malfunction of parts of the network. For this purpose, the completeness magnitude, above which all earthquakes are considered to be detected by a seismic network, was used. Then, a catalog that includes events observed by DONET was used. We found spatiotemporal variability of completeness magnitude, ranging from values below 1 in one of the areas where stations are densely deployed to values above 2 at the periphery and outside of the DONET area. We conducted a simulation computation for cases of malfunction of densely distributed stations. The results showed that completeness estimates in the area near the malfunctioning stations were about 1 magnitude larger. This implies that malfunction repair and/or replacement with new stations would be desirable, because it pronouncedly affects earthquake monitoring. We then demonstrated an example of how to use information on completeness magnitude as prior knowledge to compute the b value of the Gutenberg-Richter distribution. The result indicates the b value as a proxy that can help to image stress heterogeneity when there is a magnitude-6 class slow slip event on the Nankai Trough plate boundary.