bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization methods in Environmental-Economic Dispatch problems: a hybrid analysis in the literature
Authors: Santino Carine Nogueira , Rodríguez Jorge Laureano Moya , Fontes Cristiano Hora Oliveira 
Published: October 2022

Abstract
Companies have sought better alignment among the organization's strategic objectives, technology management, and sustainability management using process optimization strategies. This paper presents a hybrid approach that combines bibliometric and content analysis on optimizations in Environmental-Economic Dispatch (EED) problems. This work analyzes the main contributions and trends for that topic, as well as identifies future work directions. A sample of three hundred and thirty articles (330) was considered, which enabled the identification of routes, the countries with the most activity in this topic, the authors with the highest number of publications, the most cited works, the main journals that published in this subject, presentation of co-citation networks by authors and co-authorship between countries, and the characterization of the numerous optimization models that involve conflicting objectives. It is important to notice that from the content analysis it was possible to identify the state of expansion of the main evolutionary algorithms on the area studied in the world.
Machine learning to identify lung cancer with tuberculosis from isolated tuberculosis
Authors: Li Zhenhao , Wei Chaojun , Yang Xiaojuan , Jia Yanjuan , Guo Rui , Jia Jing , Wei Zhenhong , Li YuanTing , Qi Xiaoming , Wang Anqi , Wang Wanxia , Li Yonghong 
Published: October 2022

Abstract
Background: Patients with the coexistence of lung cancer and tuberculosis (TB) are a special but certain population. Although the differential diagnosis of this comorbidity from isolated tuberculosis is quite difficult, and this can lead to missing or delaying in diagnosis of lung cancer, few have focused on this special group. This study aims to develop a prediction model for identifying this comorbidity group from the isolated TB group.
Methods: In this work, all patients who tested TB-PCR from 2017-09 to 2019-07 in Gansu Provincial Hospital were included in our study(n=7394). After various exclusions, a total of 389 patients with 81 features were retained in the study. We used the Spatially Uniform ReliefF (SURF) algorithm to determine feature importance for these 81 features and they are sorted based on their feature importance. All the remained samples were randomly split into four training sets and one test set, the training set was used to construct a random forest model by using accumulating top-ranking features, and the test set was used to validate the model’s predictive performance.
Results: Of the 387 patients retained in the analysis, 53 patients were lung cancer with TB. The selected important predictors are composed of four tumor markers (Scc, Cyfra21-1, CEA, ProGRP, and NSE), fifteen blood biochemical indices (GLU, IBIL, K, CL, Ur, NA, TBA, CHOL, SA, TG, A/G, AST, CA, CREA, and CRP), six routine blood indices (EO#, EO%, MCV, RDW-S, LY#, and MPV) and four coagulation indices (APTT ratio, APTT, PTA, TT ratio). The machine learning RandomForest (RF) model presented a robust and stable classification performance, which also performed well in the test set and can easily differentiate the comorbidity group from the isolated TB group with AUC, ACC, sensitivity, and specificity of 0.8817, 0.8654, 0.8594, and 0.8656 for the training set, respectively.
Conclusion: Overall, this RF model was able to identify the comorbidity group from the isolated TB group by using routine admission lab examination. This result may reveal that machine learning techniques have excellent discriminative performance in clinical research.
A rapid scoping review of harm reduction strategies for ecstasy (MDMA) users in recreational settings
Authors: Edwards Deborah , Csontos Judit , Pascoe Michael J , Westwell Andrew , Gillen Elizabeth , Bennett Clare , Hannigan Ben , Carrier Judith , Harden Jane 
Published: October 2022

Abstract
Background: Adverse drug reactions (ADRs) can occur due to ecstasy use, and the number of people dying due to drug-related deaths has increased in the past 10 years. Harm reduction strategies could help prevent ADRs or decrease the incidence of life-threatening health consequences due to ecstasy use. However, no reviews have explored the breadth of evidence available on ecstasy harm reduction strategies.
Methods: A rapid scoping review was conducted using adapted JBI methodology to identify the prevalence and nature of harm reduction strategies that ecstasy users employ in recreational settings, with both peer-reviewed research and user-oriented drug information websites explored. Five databases (CINAHL, EMBASE, Medline, PsycINFO, CENTRAL) were searched for English language records from database inception to August 2022. User-oriented websites were identified via the project’s stakeholder group and Google searches.
Results: Twenty reports representing 19 studies (one randomised control trial, nine quantitative descriptive studies and nine qualitative studies) were included. A wide variety of harm reduction strategies were reported, including drug-specific strategies (for example, limiting the amount of ecstasy consumed, buying from trusted sources, drug checking (pill testing)); behavioural strategies (for example, monitoring fluid (water) consumption, taking a rest break to regulate temperature, avoiding alcohol and mixing with other drugs; preloading and post-loading); and peer-related strategies (for example not using alone, looking out for friends). Ecstasy users obtain information on ecstasy’s effects and/or harm reduction practices from a variety of sources including friends, nightclubs, TV news, drug leaflets, music magazines and user-oriented information websites. Fourteen user-oriented websites providing ecstasy-specific harm reduction information were identified, and strategies focused on dosage and frequency of use, interaction with other substances and prevention of health consequences, such as heatstroke, or dehydration among others. However, only two webpages provided citations to the evidence used for the content.
Conclusions: While numerous harm reduction strategies exist, employing them can depend on the users’ overall goal/s which might also encompass avoiding comedown or increasing their high. Moreover, users’ previous experience can influence how and when they adhere to harm reduction. More efficient ways of communicating harms and harm reduction strategies might be needed.
Reaction Pathway of Nitrate and Ammonia Formation in the Plasma Electrolysis Process with Nitrogen and Oxygen Gas Injection
Authors: Saksono Nelson , Harianingsih Harianingsih , Farawan Bening , Luvita Veny , Zakaria Zainal 
Published: October 2022

Abstract
The plasma electrolysis method using N2 and O2 injection is an effective and environmentally friendly solution for nitrogen fixation into nitrate and ammonia. The reaction pathway, the effect of the N2 and O2 gas injection composition are important parameters in understanding the mechanism and effectiveness of these processes. This study aims to determine the formation pathway of nitrate and ammonia by observing the formation and role of reactive species as well as intermediate compounds. Two reaction pathways of NOx and ammonia formation have been observed. The NOx compound formed in the solution was oxidized by •OH to NO2, followed by the production of a stable nitrate compound. The ammonium produced from the ammonia pathway was generated from nitrogen reacting with •H from H2O. The amount of NH3 formed was lesser compared to the NOx compounds in the liquid and gas phases. This indicates that the NOx pathway is more dominant than that of ammonia. The gas injection test with a ratio of N2/O2 = 79/21 was the most effective for nitrate formation compared to another ratio. The results of the emission intensity measurement test show that the reactive species •N, •N2*, •N2+, •OH, and •O have a significant role in the nitrate formation through the NOx pathway, while the reactive species •N and •H lead to the formation of NH3. The highest nitrate product was obtained at a ratio of N2/O2: 79/21 by 1889 mg L-1, while the highest ammonia product reached 31.5 mg L-1 at 100% N2 injection.
The energy, water supply, and ecology coordination for middle-long-term reservoirs scheduling with different connection modes using an elite mutation strategy-based NMOSFLA
Authors: Yang Zhe , Wang Yufeng , Yang Kan , Hu Hu , Song Songbai , Xu Shiqin , Zhang Xuguang , Ye Sumeng , Li Jiaxin 
Published: October 2022

Abstract
Conventional reservoir operation emphasizes power generation (PG) with ignoring downstream river ecosystem and water supply benefits for sustainable development. Compared with the model defining water supply and ecological flow requirements as constraints, a novel long-term multi-objective scheduling model in complex parallel reservoir system (LTMOSCPRS) is developed to assess and achieve win–win and sustainable development for energy, water supply, and ecological benefits. The suitable and ideal ecological water requirements are calculated based on the requirement level index. Afterward, the novel multi-objective shuffled frog leaping algorithm (NMOSFLA) including renewed frog grouping, local search, and external elite frog set mutation strategies is proposed. Results indicate that three optimization objectives expose a mutual competing relationship. The benefit of the river ecosystem will increase at a loss of PG and water supply guarantee rate (WSGR). Therefore, the parallel reservoir system should be adjusted to improve the benefits of WSGR and ecological water spill and shortage (EWSS) with minimizing the loss of PG, simultaneously. Finally, the NMOSFLA is verified to outperform other compared methods at the solution diversity and convergence which is evaluated by multiple indicators. Overall, the NMOSFLA provides efficient reservoir operation schemes for decision-makers to select optimal trade-off schemes and feasible ways to solve the LTMOSCPRS.
The rising swarms of jellyfish in Indian waters: the environmental drivers, ecological, and socio-economic impacts
Authors: Siddique Alfisa , Purushothaman Jasmine , Madhusoodhanan Rakhesh , Raghunathan Chelladurai 
Published: October 2022

Abstract
A four-decade data of jellyfish aggregation from 1980 to 2020 were taken to discern whether there has been an actual rise in jellyfish swarm in Indian coastal and estuarine waters. Despite frequent jellyfish aggregations and beach strandings in Indian waters, jellyfish aggregations have been poorly investigated and there is a dearth of information on the swarm-forming jellyfish, their preferred season, and the location of swarming. Therefore, our review aims to account for the frequency of swarming phenomenon annually and the appearance of new swarm-forming jellyfish species. The term ‘jellyfish’ refers to the medusae stage of phylum Cnidaria (Cubozoa, Hydrozoa, and Scyphozoa) only in this review. The present work postulates a geospatial spread and swarm-forming jellyfish species to increase in recent times. More than 23 coastal locations of India have witnessed jellyfish aggregations and beach stranding in the last four decades. Seasonal oceanographic conditions prevailing during the summer monsoon, fall, and early winter promoted jellyfish aggregations and swarming. Only two jellyfish species were known to form aggregates during 1981–1990, but the diversity of jellyfish species increased to nine by 2011–2020. The development of predictive models from remote sensing data can be useful to warn humans and coastal industries of the approaching swarm.
Machine learning-based prediction of harmful algal blooms in water supply reservoirs
Authors: Jeong Bongseok , Chapeta Maria Renee , Kim Mingu , Kim Jinho , Shin Jihoon , Cha YoonKyung 
Published: October 2022

Abstract
Harmful algal blooms (HABs) pose a potential risk to human and ecosystem health. HAB occurrences are influenced by numerous environmental factors; thus, accurate predictions of HABs and explanations about the predictions are required to implement preventive water quality management. In this study, machine learning (ML) algorithms, i.e., random forest (RF) and extreme gradient boosting (XGB), were employed to predict HABs in eight water supply reservoirs in South Korea. The use of synthetic minority oversampling technique for addressing imbalanced HAB occurrences improved classification performance of the ML algorithms. Although RF and XGB resulted in marginal performance differences, XGB exhibited more stable performance in the presence of data imbalance. Furthermore, a post hoc explanation technique, Shapley additive explanation was employed to estimate relative feature importance. Among the input features, water temperature and concentrations of total nitrogen and total phosphorus appeared important in predicting HAB occurrences. The results suggest that the use of ML algorithms along with explanation methods increase the usefulness of predictive models as a decision-making tool for water quality management.
Hydrogeochemical evolution of Taiyuan Formation limestone water under the disturbance of water inrush from karst collapse column in Taoyuan Coal Mine, China
Authors: Guo Yan , Gui Herong , Wei Jiuchuan , Pang Yingchun , Hu Mancong , Zhang Zhi , Nie Feng , Hong Huang , Cui Yali , Zhao Jin 
Published: October 2022

Abstract
The project implementation of water inrush and its treatment ensures the safe mining of coal mines, but also causes certain disturbance to the hydrogeochemistry of primary limestone water. Based on the water inrush event in Taoyuan Coal Mine of Huaibei coalfield in 2013, the water rock interaction mechanism of Taiyuan Formation limestone water (namely, ‘Taihui water’) was discussed. The results showed that: (1) the relationship of cation mass concentration before and after water inrush was Na+ + K+ &gt; Ca2+ &gt; Mg2+; the correlation of anionic mass concentration before water inrush was SO42− &gt; HCO3− &gt; Cl−, while it was HCO3− &gt; SO42− &gt; Cl− after the event. Before the event, the main water quality types were SO4•Cl-Ca and SO4•Cl-Na; after the event, they mainly included HCO3-Na and SO4•Cl-Na; (2) There is a strong positive correlation between mineral saturation index and pH value, that is, minerals are easy to dissolve under acidic conditions, while alkaline conditions will inhibit the dissolution and transformation of minerals; (3) The hydrogeochemical processes of limestone aquifer mainly included cation exchange, carbonate dissolution, pyrite oxidation, sulfate and silicate dissolution.
Excess sludge biochar facilitates persulfate activation for highly efficient tetracycline removal
Authors: Lv Bowen , Zhang Weiliang , Liu Yu , Xu Dezhi , Fan Xiulei 
Published: October 2022

Abstract
This study proposed a novel advanced oxidation system to treat metal and antibiotic pollution in water simultaneously. Meanwhile, the enhancement effect of absorbed metal pollution on the activation of persulfate in the system was also investigated. As the most widely used and polluting material, tetracycline (TC) and metal Fe were used as the pollutant models. In this study, a carbonaceous material (BC) was prepared from excess sludge and then combined with the persulfate system (Fe/BC/PS). It was found that the best biochar was obtained when the pyrolysis temperature reached 500 °C (BC500), with the specific surface area of 39.712 m2/g. Combining it with 300 mg/L PS, the removal rate of 120 mg/L TC reached 70.6%. Moreover, the sludge biochar itself possessed numerous reaction sites and good defective structure, which provided a perfect reaction site for the variable metals absorbed by BC. They accelerated electron conduction greatly, which led to the activation of PS very active and generating far more active radicals than normal. In addition, it also proposed the rational pathway and potential mechanism of TC degradation based on the degradation intermediates. This study has a high reference value for resource utilization of sewage sludge and antibiotics removal from water.
Vascular Indications for Integrin αv Antagonists
Authors: Samanen James , Jonak Zdenka , Rieman David , Yue Tian-Li 
Published: October 2022

Abstract:
During early investigations into the biology associated with the platelet integrin αlIbβ3, monoclonal antibodies to αllbβ3 indicated that an αllbβ3-like integrin was expressed on endothelial cells, smooth muscle cells and on a variety of cancer cell lines. That integrin became known as the vitronectin receptor. It was shown to contain the same β3 subunit as αllbβ3, but it contained a different alpha subunit, named αv. Instead of a large family of β3 integrins, a large family of av integrins was discovered. To date, the family includes αvβI, αvβ3, αvβ5, αvβ6 and αvβ8. Two members of the family, αvβ3 and αvβ5, have received the most attention, showing potential in therapeutic targets as diverse as osteoporosis, restenosis and angiogenesis. This paper focuses on the potential vascular indications for av antagonists. It reviews the role of αvβ3 and αvβ5 as smooth muscle cell and endothelial cell adhesion receptors, as well as their capacity to mediate cell spreading and migration as signaling receptors. The current evidence for the role of αvβ3 and αvβ5 in restenosis and angiogenesis is reviewed. Endothelial cells, smooth muscle cells, and macrophages (mΦ) express either integrin, depending upon the cytokine that drives the migratory phenotype. Accessory membrane-bound molecules and matrix-degrading proteinases, as well as subcellular second messengers are reviewed. A model for the involvement of Integrin Associated Protein (IAP), and its ligation by thrombospondin is also proposed. A number of αv antagonists that inhibit cell adhesion to αvβ3 and αvβ5 have succeeded in proof of concept experiments in animal disease models. Nonpeptide av antagonists with high selectivity and adequate oral bioavailability have also been discovered. Thus, the field of av antagonists is poised to move into clinical development in the areas of restenosis, cancer, and ocular angiogenesis. Other areas that could blossom with potential for av antagonists include rheumatoid arthritis and atherosclerosis.
Recent Advances in the Discovery and Development of Vasopressin Antagonists: Peptide and Nonpeptide Vta and V2 Receptor Antagonists
Authors: Albright J. Donald , Chan Peter S. 
Published: October 2022

Abstract:
Arginine. vasopressin (AVP) (antidiuretic harmone) exerts its action through three membrane-bound G-protein-coupled receptor subtypes (VI a, renal V2, and V3). The vasopressin-induced antidiuresis (via V2 receptors coupled to aquaporins) helps maintain normal plasma osmolality and salt (NaCl) balances. The human V1, V2 and V3 (V lb) recep­
receptors and water selective membrane proteins (aquaporins) in the kidney have been cloned. Recent advances are the discovery and development of selective non-peptide antagonists (without agonist activity) that have been shown to be aquaretic agents in animals and humans. This review covers the characterization of vasopressin receptors V la, V2 and V3 (V1 b) (function, cloning, species variations, molecular modeling) and the discovery of non-peptide small molecules (of diverse structural types) that are potent AVP receptor antagonists. Animal and clinical studies of non-peptide AVP antagonists OPC-21268, OPC-31260, SR-49059, YM087 and VPA-985 are reported.
Hypercaloric Diet Promotes Metabolic Disorders and Impaired Kidney Function
Authors: Meléndez-Salcido Cecilia Gabriela , Ramírez-Emiliano Joel , Pérez-Vázquez Victoriano 
Published: October 2022

Abstract:
Poor dietary habits such as overconsumption of hypercaloric diets characterized by a high content of
fructose and fat are related to metabolic abnormalities development such as obesity, diabetes, and dyslipidemia.
Accumulating evidence supports the hypothesis that if energy intake gradually exceeds the body's ability to
store fat in adipose tissue, the prolonged metabolic imbalance of circulating lipids from endogenous and exogenous
sources leads to ectopic fat distribution in the peripheral organs, especially in the heart, liver, and kidney.
The kidney is easily affected by dyslipidemia, which induces lipid accumulation and reflects an imbalance between
fatty acid supply and fatty acid utilization. This derives from tissue lipotoxicity, oxidative stress, fibrosis,
and inflammation, resulting in structural and functional changes that lead to glomerular and tubule-interstitial
damage. Some authors indicate that a lipid-lowering pharmacological approach combined with a substantial
lifestyle change should be considered to treat chronic kidney disease (CKD). Also, the new therapeutic target
identification and the development of new drugs targeting metabolic pathways involved with kidney lipotoxicity
could constitute an additional alternative to combat the complex mechanisms involved in impaired kidney
function. In this review article, we first provide the pathophysiological evidence regarding the impact of hypercaloric
diets, such as high-fat diets and high-fructose diets, on the development of metabolic disorders associated
with impaired renal function and the molecular mechanisms underlying tissue lipid deposition. In addition,
we present the current progress regarding translational strategies to prevent and/or treat kidney injury related to
the consumption of hypercaloric diets.
Protein Phosphorylation Mechanism of Mesenchymal Stem Cells in
the Treatment of Sepsis: A Systematic Review and Meta-analysis
Authors: Wang Hongwu , Luo Junlin , Zhong Yong , Ma Lian 
Published: October 2022

Background:
The severity and mortality of sepsis are related to excessive
inflammation and cytokine storm. Nevertheless, little is known about why sepsis has a
significant increase in proinflammatory cytokine production, which leads to more severe
inflammatory damage.

Methods:
Mesenchymal stem cells have achieved certain results in the treatment of
sepsis, but the specific mechanism remains to be further clarified.

Results:
Therefore, this paper will elaborate on the currently recognized mechanism
of mesenchymal stem cells in the treatment of sepsis, the protein phosphorylation mechanism
of sepsis inflammatory response, and the possibility that mesenchymal stem
cells may block the occurrence and development of sepsis by regulating relevant
pathways or protein phosphorylation.

Conclusion:
It provides a novel target for mesenchymal stem cells to prevent intervention
or therapeutically block the development of sepsis.
Targeting ADAM10 in Renal Diseases
Authors: Wang Jie-Na , Cao Xiao-Jing 
Published: October 2022

Abstract:
ADAM10 is part of the ADAM superfamily containing cell surface proteins
with special structures and potential adhesion and protease domains. This paper provides
a review of the specific effects of ADAM10 in kidney development as well as its
relations with renal diseases. ADAM10 plays an important role in developing tissues
and organs and the pathogenesis of multiple diseases. The catalytic mechanism of
ADAM10 on kidney-related molecules, including Notch, epidermal growth factor receptors,
tumor necrosis factor-α, CXCL16, E-cadherin, cell adhesion molecule 1, meprin
and klotho. ADAM10 is also closely associated with the progress of glomerular diseases,
acute kidney injury and renal fibrosis. It probably is a good therapeutic target for
renal diseases.