bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the coupling relationship between hydrocarbon generation of continental shale and nanopore structure evolution—A case study of Shahejie formation in Bohai Bay Basin
Authors: Zheng Youwei , Fu Deliang , Qin Jianqiang , Liu Xianrong , Tian Bing , Sun Lina 
Published: October 2021

AbstractThe nano-scale pore structure of shale is closely related to the self-generated and self-accumulated shale oil and gas. The Bohai Bay Basin is a crucial oil-bearing basin in eastern China, and the Paleogene Shahejie Formation is the most important source rock section in this area. In order to study the internal relationship between hydrocarbon generation evolution and pore structure characteristics of source rocks, we conducted hydrocarbon generation simulation tests with a closed gold tube system, and heated up original rocks from Shahejie Formation in Laizhou Bay Sag, southern Bohai Bay Basin, from 290 °C to 440°C at different heating rates. Besides, we carried out low-temperature N2 adsorption experiments on sample residues, and measured their pore structure characteristic parameters. The results show that with the increase of simulated temperature, the specific surface area and pore volume of nano-pores below 10 nm (which are mainly organic pores) decrease first and then increase, while those of nano-pores above 10 nm increase all the way. The evolution trend of total specific surface area and pore volume is mainly controlled by pores below 10 nm which are mainly organic pores, especially micropores below 2 nm. There are two main factors affecting the development of inorganic pores: (1) Dissolution of organic acids produced by pyrolysis of organic matter in hydrocarbon-generation evolution; (2) Deformation of crystal structure of mineral components under the combined action of temperature and pressure. The experimental results at different heating rates demonstrate that rapid settlement under geological conditions is not conducive to the development of nano-pores, especially micro-pores composed of organic pores.
Inhibiting wax deposition using palm oil additives
Authors: Ragunathan Thevaruban , Wood Colin D. , Husin Hazlina 
Published: October 2021

AbstractAmong the flow assurance problems that the petroleum industry faces, the deposition of paraffin waxes on to the wall of the pipeline is the most challenging. The challenge arises when the crude oil temperature decreases below the wax appearance temperature which prompts wax crystallization in the crude oil. An efficient method in remedying paraffin wax deposition is the utilization of chemical inhibitors. However, currently used chemical inhibitors are costly and environmentally harmful if a spillage occurs. Therefore, the use of biodegradable or environmentally friendly inhibitors as potential chemical inhibitors is being studied by various researchers. This study investigated oleic acid, poly (ethylene-co-vinyl acetate) (EVA) and triethanolamine (TEA) as inhibitors that perform based on the van der Waals intermolecular interaction between the main wax component molecule eicosane C20H42 using molecular dynamics simulations Material Studio 8.0 software package. In order to analyse the desired structural property which is the radial distribution function (RDF), COMPASS force field was used. The RDF and g(r) function portrayed the functional atoms which aid in inhibiting the agglomeration and crystallization of the wax crystal formation. The presence of a carbonyl oxygen in oleic acid plays a vital role to inhibit the wax formation through the van der Waals interaction between active hydrogen atoms in eicosane molecule. Therefore, the chances of wax inhibition in eicosane are higher by introducing oleic acid as an inhibitor as compared to EVA and TEA. The results were then validated experimentally utilizing a cold finger technique under static condition.
Novel hybrid machine learning optimizer algorithms to prediction of fracture density by petrophysical data
Authors: Rajabi Meysam , Beheshtian Saeed , Davoodi Shadfar , Ghorbani Hamzeh , Mohamadian Nima , Radwan Ahmed E. , Alvar Mehdi Ahmadi 
Published: October 2021

AbstractOne of the challenges in reservoir management is determining the fracture density (FVDC) in reservoir rock. Given the high cost of coring operations and image logs, the ability to predict FVDC from various petrophysical input variables using a supervised learning basis calibrated to the standard well is extremely useful. In this study, a novel machine learning approach is developed to predict FVDC from 12-input variable well-log based on feature selection. To predict the FVDC, combination of two networks of multiple extreme learning machines (MELM) and multi-layer perceptron (MLP) hybrid algorithm with a combination of genetic algorithm (GA) and particle swarm optimizer (PSO) has been used. We use a novel MELM-PSO/GA combination that has never been used before, and the best comparison result between MELM-PSO-related models with performance test data is RMSE = 0.0047 1/m; R2 = 0.9931. According to the performance accuracy analysis, the models are MLP-PSO < MLP-GA < MELM-GA < MELM-PSO. This method can be used in other fields, but it must be recalibrated with at least one well. Furthermore, the developed method provides insights for the use of machine learning to reduce errors and avoid data overfitting in order to create the best possible prediction performance for FVDC prediction.
Case report. Geschokt door de wachttijd: ESWL bij blaasstenen
Authors: Zeelenberg Anna M. , Hendriks Nora , Schout Barbara M. A. , van der Spruit Joost A. 
Published: October 2021

SamenvattingDe behandeling van eerste keuze voor vesicale stenen is de transurethrale cystolithotripsie (TUCL). Door de COVID-19-pandemie kampen ziekenhuizen echter met lange wachttijden voor – onder meer – deze operaties. Daarnaast komen sommige patiënten niet in aanmerking voor een operatie door hun comorbiditeit. In de jaren negentig van de vorige eeuw was extracorporele shockwave lithotripsie (ESWL) een veel gebruikte, veilige behandelmethode voor blaasstenen. Toen TUCL effectiever bleek, is ESWL voor blaasstenen echter in de vergetelheid geraakt. ESWL is poliklinisch uit te voeren, waardoor wachttijden korter zijn dan die voor operatieve ingrepen. Gedurende de COVID-19-pandemie hebben we enkele patiënten met blaasstenen behandeld met ESWL. We concluderen dat ESWL een geschikt alternatief is voor de TUCL bij geselecteerde patiënten, maar dat voor een effectieve behandeling meerdere ESWL-procedures nodig zijn.
Efficient photocatalytic hydrogen production over Ce/ZnO from aqueous methanol solution
Authors: Patil Ashokrao B. , Jadhav Balaso D. , Bhoir Poonam V. 
Published: October 2021

AbstractCe/ZnO crystallites along with bare ZnO were prepared by solution free mechanochemical method and characterized with powder XRD, SEM, EDX, XPS, UV–Visible and Photoluminescence (PL) spectra. The visible light photocatalytic performance of these materials was investigated for H2 evolution with the aqueous 10vol% methanol solution under one sun conditions using solar simulator. X-ray diffraction data suggests the hexagonal wurtzite structure for Ce/ZnO crystallites and the incorporation of Ce4+ ion in ZnO is supported by the shifting of XRD peaks to lower Bragg angles that indicate lattice expansion. With the increase of Ce content in ZnO, the crystallite size of Ce/ZnO decreases and the specific surface area increases. UV–Visible spectra propose the decrease in optical band gap of Ce incorporated ZnO with the increase of Ce content up to 3 mol. %. The XPS analysis supports the incorporation of Ce4+ in Ce/ZnO. The PL spectra propose that, with the insertion of Ce ions into ZnO, intensity of UV emission band decreases that reflects the low recombination rate of photogenerated charge carriers, which is responsible for higher photocatalytic H2 production. The extent of hydrogen production is affected by calcination temperature of Ce/ZnO. 2 mol. % Ce incorporated ZnO calcined at 600 °C produces43 μmolh−1 g−1 of hydrogen.
Extended-release calcifediol in stage 3–4 chronic kidney disease: a new therapy for the treatment of secondary hyperparathyroidism associated with hypovitaminosis D
Authors: Cozzolino Mario , Minghetti Paola , Navarra Pierluigi 
Published: October 2021

AbstractA high percentage of patients with chronic kidney disease have hypovitaminosis D, which is a driver of secondary hyperparathyroidism and an important factor in chronic kidney disease-mineral and bone disorder. Vitamin D deficiency (serum total 25-OH vitamin D levels < 30 ng/mL) occurs early in the course of chronic kidney disease and treatment guidelines recommend early intervention to restore 25-OH vitamin D levels as a first step to prevent/delay the onset/progression of secondary hyperparathyroidism. The vitamin D forms administered to replace 25-OH vitamin D include cholecalciferol, ergocalciferol, and immediate- or extended-release formulations of calcifediol. Most patients with intermediate-stage chronic kidney disease will develop secondary hyperparathyroidism before dialysis is required. Control of parathyroid hormone levels becomes a major focus of therapy in these patients. This article focuses on the position of extended-release calcifediol in the treatment of patients with stage 3–4 chronic kidney disease and secondary hyperparathyroidism with hypovitaminosis D. Several characteristics of extended-release calcifediol support its use in the intermediate stages of chronic kidney disease. The pharmacokinetics of extended-release calcifediol make it effective for replenishing 25-OH vitamin D levels, with minimal impact on vitamin D catabolism from fibroblast-growth factor-23 and CYP24A1 upregulation. Extended-release calcifediol increases circulating 25-OH vitamin D levels in a dose-dependent manner and lowers parathyroid hormone levels by a clinically relevant extent, comparable to what can be achieved by administering active vitamin D analogues, though with a lower risk of hypercalcaemia and hyperphosphataemia. Active vitamin D analogues are reserved for patients undergoing dialysis or pre-dialysis patients with severe progressive secondary hyperparathyroidism.
Graphic abstract
Hyperledger blockchain enabled secure medical record management with deep learning-based diagnosis model
Authors: Sammeta Naresh , Parthiban Latha 
Published: October 2021

AbstractIn recent times, advanced developments in healthcare sector result in the generation of massive amounts of electronic health records (EHRs). EHR system enables the data owner to control his/her data and share it with designated people. The vast volume of data in the healthcare system makes it difficult for data to ensure security and diagnostic processes. To resolve these issues, this paper develops a new hyperledger blockchain enabled secure medical data management with deep learning (DL)-based diagnosis (HBESDM-DLD) model. The presented model involves distinct stages of operations such as encryption, optimal key generation, hyperledger blockchain-based secure data management, and diagnosis. The presented model allows the user to control access to data, permit the hospital authorities to read/write data, and alert emergency contacts. For encryption, SIMON block cipher technique is applied. At the same time, to improve the efficiency of the SIMON technique, a group teaching optimization algorithm (GTOA) is applied for the optimal key generation of the SIMON technique. Moreover, the sharing of medical data takes place using multi-channel hyperledger blockchain that utilizes a blockchain for storing patient visit data and for the medical institutions to record links for the EHRs saved in external databases. Once the data are decrypted at the receiving end, finally, variational autoencoder (VAE)-based diagnostic model is applied to detect the existence of the diseases. The performance validation of the HBESDM-DLD model takes place on benchmark medical dataset and the results are inspected under various performance measures. The experimental results proves that the HBESDM-DLD methodology is superior to state-of-the-art methods.
The differences between the horizontal membership function used in multidimensional fuzzy arithmetic and the inverse membership function used in gradual arithmetic
Authors: Piegat Andrzej , Pluciński Marcin 
Published: October 2021

AbstractIn the last few years, the number of applications of the multidimensional fuzzy arithmetic (MFA) and the multidimensional interval arithmetic is expanding. Authors of new papers about applications of MFA are often faced with comments from other researchers, especially the gradual arithmetic (GA) proponents, that the horizontal membership function (HMF) used in MFA is the same as the inverse membership function (InvMF) used in GA, and that MFA itself adds nothing new to the fuzzy arithmetic. This view leads to unfair evaluations of scientific papers about MFA applications submitted to scientific journals and to unnecessary disagreements between MFA and GA proponents. The purpose of this paper is to carefully analyze the two types of functions (HMF and InvMF) and to demonstrate their important differences. The basic and decisive difference is the dimensionality of both functions, which is illustrated by examples. It should also be added that HMF has proven its usefulness in solving difficult problems such as: systems of fuzzy equations or fuzzy differential equations, which is confirmed by numerous publications. The paper enable the reader to have a deeper understanding of the multidimensional fuzzy arithmetic.
Delirium screening with 4AT in patients aged 65 years and older admitted to the Emergency Department with suspected sepsis: a prospective cohort study
Authors: Myrstad Marius , Kuwelker Kanika , Haakonsen Sigurd , Valebjørg Therese , Langeland Nina , Kittang Bård Reiakvam , Hagberg Guri , Neerland Bjørn Erik , Bakken Marit Stordal 
Published: October 2021

Abstract
Purpose
We aimed to study the use of The 4 ‘A’s test (4AT), a rapid delirium screening tool, performed upon Emergency Department (ED) admission, and to characterize older patients admitted to the ED with and without sepsis in terms of delirium features.

Methods
In this prospective cohort study, we included patients aged ≥ 65 years, admitted to the ED with suspected sepsis. ED nurses and doctors performed delirium screening with 4AT within two hours after ED admission, and registered the time spent on the screening in each case. Sepsis and delirium during the hospital stay were diagnosed retrospectively, according to recommended diagnosis criteria.

Results
Out of the 196 patients included (mean age 81 years, 60% men), 100 patients fulfilled the sepsis diagnosis criteria. The mean 4AT screening time was 2.5 Minutes. In total, 114 patients (58%) had a 4AT score ≥ 1, indicating cognitive impairment, upon ED admission. Sepsis patients more often had a 4AT score ≥ 4, indicating delirium, than patients without sepsis (40% vs. 26%, p < 0.05). Out of the 100 patients with sepsis, 68 (68%) had delirium during the hospital stay, as compared to 34 out of 96 patients (35%) without sepsis (p < 0.05).

Conclusion
Delirium screening upon ED admission, using 4AT, was feasible among patients aged ≥ 65 years admitted with suspected sepsis. Two out of three patients had at least one feature of delirium upon admission. The prevalence of delirium during the hospital stay was high, particularly in patients with sepsis.

Graphic abstract
CrMnFeCoNi high entropy alloys with carbon and nitrogen: mechanical properties, wear and corrosion resistance
Authors: Chmielak L. , Mujica Roncery L. , Niederhofer P. , Weber S. , Theisen W. 
Published: October 2021

AbstractThe use of interstitial elements has been a key factor for the development of different kinds of steels. However, this aspect has been little explored in the field of high entropy alloys (HEAs). In this investigation, the effect of carbon and nitrogen in a near-equiatomic CrMnFeCoNi HEA is studied, analyzing their impact on the microstructure, and mechanical properties from 77K to 673K, as well as wear, and corrosion resistance. Carbon and nitrogen are part of the FCC solid solution and contribute to the formation of precipitates. An increase in the yield and ultimate tensile strength accompanied with a decrease in the ductility are the main effects of C and N. The impact toughness of the interstitial-free material is higher than that of C and C+N alloyed systems. Compared to CrNi and CrMn austenitic steels, the wear resistance of the alloys at room temperature is rather low. The surface corrosion resistance of HEAs is comparable to austenitic steels; nevertheless HEAs are more susceptible to pitting in chloride containing solutions.
The impact of the consumer’s decision on the life cycle assessment of organic pasta
Authors: Gnielka Anna Elisabeth , Menzel Christof 
Published: October 2021

AbstractEvery consumer’s decision has an impact on the environment, and even basic food products such as pasta have an impact due to their high consumption rates. Factors that can be influenced by the consumer include the preparation (cooking), last mile and packaging phases. The last mile has not been considered in most studies but contributes considerably to the environmental impact of pasta. The three phases and their environmental impact on the life cycle of pasta are analyzed in this cradle-to-grave life cycle assessment. The focus of the study lies on the impact categories climate change, agricultural land occupation, fossil depletion, water depletion, freshwater eutrophication and freshwater ecotoxicity. Inventory data were taken from other studies, were collected in cooperation with a zero-packaging organic grocery store in Germany or were gained in test series. Our results show that the preparation of pasta has the greatest environmental impact (over 40% in the impact categories climate change and fossil depletion and over 50% in the impact category freshwater eutrophication), followed by the last mile (over 20% in the impact categories climate change and fossil depletion) and lastly the packaging (nearly 9% in the impact categories freshwater eutrophication and freshwater ecotoxicity). Based on our study´s results, we provide some recommendations for minimizing the environmental impacts of pasta.
Production of oxalic acid from sawdust using coal fly ash as a catalyst
Authors: Kuipa O. , Kasungasunge G. , Kuipa P. K. 
Published: October 2021

AbstractThe production of oxalic acid from sawdust using a mixture of strong nitric acid and concentrated sulphuric acid with coal fly ash as a catalyst has been explored. Operating parameters affecting the reaction were determined to be temperature, mesh size and amount of fly ash catalyst, time and the$${\text{HNO}}_{3} :{\text{H}}_{2} {\text{SO}}_{4}$$HNO3:H2SO4ratio. A maximum oxalic acid yield of 84% was obtained using a mixture of 60%$${\text{HNO}}_{3} {\text{ and }}40 \%{\text{ H}}_{2} {\text{SO}}_{4}$$HNO3and40%H2SO4at 70 °C and a reaction time of 150 minutes. Coal fly ash with particle size of 50–100 μm proved to be a suitable and efficient catalyst, and the optimum quantity of catalyst employed was 5g of fly ash for every 100g of sawdust.
Projekt abgebrochen, Folgeband nicht erschienen. Unvollendete Werke in der Wissenschaftsgeschichte der Geschichtswissenschaft
Authors: Weber Wolfgang E. J. 
Published: October 2021

ZusammenfassungDie Konkurrenz zwischen Wissenschaftstheorie (Historik) und Wissenschaftsgeschichte der Geschichtswissenschaft scheint heute zugunsten der Wissenschaftsgeschichte entschieden. Dort herrscht allerdings zumindest in Deutschland noch der individualbiografische Ansatz vor. Wie innovativ dennoch auch dieser Zugriff sein kann, belegt die einschlägige jüngste Monografie von Heinz Duchhardt. Sie befasst sich mit den inneren und äußeren Ursachen nicht zustande gekommener oder abgebrochener Geschichtswerke und dem psychisch-ethischen Umgang der verantwortlichen Historiker mit ihrem „Versagen“. Das Review Essay stellt diese Perspektive kritisch in den übergreifenden wissenschaftshistorischen Kontext und macht weiterführende Forschungsvorschläge.
Increase of 5-HT levels is induced both in mouse brain and HEK-293 cells following their exposure to a non-viral tryptophan hydroxylase construct
Authors: Tesoro-Cruz Emiliano , Manuel-Apolinar Leticia , Oviedo Norma , Orozco-Suárez Sandra , Crespo Ramírez Minerva , Bekker-Méndez Vilma Carolina , Aguirre-García M. Magdalena , Rojas-Osornio Sandra Angélica , Paredes-Cervantes Vladimir , Pérez de la Mora Miguel 
Published: October 2021

AbstractTryptophan hydroxylase type 2 (Tph2) is the rate-limiting enzyme for serotonin (5-HT) biosynthesis in the brain. Dysfunctional Tph2 alters 5-HT biosynthesis, leading to a deficiency of 5-HT, which could have repercussions on human behavior. In the last decade, several studies have associated polymorphisms of the TPH2 gene with suicidal behavior. Additionally, a 5-HT deficiency has been implicated in various psychiatric pathologies, including alcoholism, impulsive behavior, anxiety, and depression. Therefore, the TPH2 gene could be an ideal target for analyzing the effects of a 5-HT deficiency on brain function. The aim of this study was to use the construct pIRES-hrGFP-1a-Tph2-FLAG to treat CD1-male mice and to transfect HEK-293-cells and then to evaluate whether this treatment increases 5-HT production. 5-HT levels were enhanced 48 h post-transfection, in HEK-293 cells. Three days after the ocular administration of pIRES-hrGFP-1a-Tph2-FLAG to mice, putative 5-HT production was significantly higher than in the control in both hypothalamus and amygdala, but not in the brainstem. Further research will be needed on the possible application of this treatment for psychiatric diseases involving a Tph2 dysfunction or serotonin deficiency.
Mechanisms of neuroplasticity linking early adversity to depression: developmental considerations
Authors: Ho Tiffany C. , King Lucy S. 
Published: October 2021

AbstractEarly exposure to psychosocial adversity is among the most potent predictors of depression. Because depression commonly emerges prior to adulthood, we must consider the fundamental principles of developmental neuroscience when examining how experiences of childhood adversity, including abuse and neglect, can lead to depression. Considering that both the environment and the brain are highly dynamic across the period spanning gestation through adolescence, the purpose of this review is to discuss and integrate stress-based models of depression that center developmental processes. We offer a general framework for understanding how psychosocial adversity in early life disrupts or calibrates the biobehavioral systems implicated in depression. Specifically, we propose that the sources and nature of the environmental input shaping the brain, and the mechanisms of neuroplasticity involved, change across development. We contend that the effects of adversity largely depend on the developmental stage of the organism. First, we summarize leading neurobiological models that focus on the effects of adversity on risk for mental disorders, including depression. In particular, we highlight models ofallostatic load, acceleration maturation, dimensions of adversity, and sensitive or critical periods. Second, we expound on and review evidence for the formulation that distinct mechanisms of neuroplasticity are implicated depending on the timing of adverse experiences, and that inherent within certain windows of development are constraints on the sources and nature of these experiences. Finally, we consider other important facets of adverse experiences (e.g., environmental unpredictability, perceptions of one’s experiences) before discussing promising research directions for the future of the field.