bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of machine learning algorithms for predicting direct-acting antiviral treatment failure among patients with chronic hepatitis C infection
Authors: Park Haesuk , Lo-Ciganic Wei-Hsuan , Huang James , Wu Yonghui , Henry Linda , Peter Joy , Sulkowski Mark , Nelson David R.
Published: October 2022

Despite the availability of efficacious direct-acting antiviral (DAA) therapy, the number of people infected with hepatitis C virus (HCV) continues to rise, and HCV remains a leading cause of liver-related morbidity, liver transplantation, and mortality. We developed and validated machine learning (ML) algorithms to predict DAA treatment failure. Using the HCV-TARGET registry of adults who initiated all-oral DAA treatment, we developed elastic net (EN), random forest (RF), gradient boosting machine (GBM), and feedforward neural network (FNN) ML algorithms. Model performances were compared with multivariable logistic regression (MLR) by assessing C statistics and other prediction evaluation metrics. Among 6525 HCV-infected adults, 308 patients (4.7%) experienced DAA treatment failure. ML models performed similarly in predicting DAA treatment failure (C statistic [95% CI]: EN, 0.74 [0.69–0.79]; RF, 0.74 [0.69–0.80]; GBM, 0.72 [0.67–0.78]; FNN, 0.75 [0.70–0.80]), and all 4 outperformed MLR (C statistic [95% CI]: 0.51 [0.46–0.57]), and EN used the fewest predictors (n = 27). With Youden index, the EN had 58.4% sensitivity and 77.8% specificity, and nine patients were needed to evaluate to identify 1 DAA treatment failure. Over 60% treatment failure were classified in top three risk decile subgroups. EN-identified predictors included male sex, treatment < 8 weeks, treatment discontinuation due to adverse events, albumin level < 3.5 g/dL, total bilirubin level > 1.2 g/dL, advanced liver disease, and use of tobacco, alcohol, or vitamins. Addressing modifiable factors of DAA treatment failure may reduce the burden of retreatment. Machine learning algorithms have the potential to inform public health policies regarding curative treatment of HCV.
Facilitating time series classification by linear law-based feature space transformation
Authors: Kurbucz Marcell T. , Pósfay Péter , Jakovác Antal
Published: October 2022

The aim of this paper is to perform uni- and multivariate time series classification tasks with linear law-based feature space transformation (LLT). First, LLT is used to separate the training and test sets of instances. Then, it identifies the governing patterns (laws) of each input sequence in the training set by applying time-delay embedding and spectral decomposition. Finally, it uses the laws of the training set to transform the feature space of the test set. These calculation steps have a low computational cost and the potential to form a learning algorithm. For the empirical study of LLT, a widely used human activity recognition database called AReM is employed. Based on the results, LLT vastly increases the accuracy of traditional classifiers, outperforming state-of-the-art methods after the proposed feature space transformation is applied. The fastest error-free classification on the test set is achieved by combining LLT and the k-nearest neighbor (KNN) algorithm while performing fivefold cross-validation.
Association between COVID-19 stress, coping mechanisms and stress-related oral conditions among Egyptian adults: a cross-sectional study
Authors: Aly Nourhan M. , Elwan Amira H. , Elzayet Raghda M. , Hassanato Nour M. R. , Deif Mariam , Abdelaziz Wafaa E. , El Tantawi Maha
Published: October 2022

The present study investigated the association between COVID-19 stresses and oral conditions including gingivitis, oral hygiene, oral ulcers, and dry mouth. This was a cross-sectional study that collected data from adults in community settings in Alexandria, Egypt, between October 2021, and February 2022. Gingival condition and oral hygiene were assessed using the gingival and plaque indices. Participants were asked if they experienced oral ulcers during the past week and dry mouth during the past year. COVID-19 fears and coping were assessed using the COVID Stress Scale (CSS), and the Brief Resilience Coping Scale (BRCS), respectively. Oral health behaviors were assessed using the World Health Organization questionnaire. Regression analyses were used to assess the association between the dependent variables (clinically assessed gingival and plaque indices, reported presence of oral ulcers, and dry mouth) and explanatory variables (CSS and BRCS) after adjusting for confounders (COVID-19 status, oral health behaviors, smoking, age in years, sex, and highest educational level). The response rate was 88.8% (373/420). The mean (SD) age = 39.26 (11.45) with 74.3% females and 49.3% reporting completing high school or higher education. The mean (SD) plaque and gingival indices were 1.59 (0.66) and 1.39 (0.59), respectively. Only 20.1% reported the presence of oral ulcers and 41.6% reported xerostomia. Lower plaque score was associated with higher COVID-19 contamination fears (B = − 0.03, 95% CI − 0.05, − 0.02) and higher compulsive checking and reassurance-seeking (B = − 0.02, 95% CI − 0.03, − 0.009). Lower gingival score was associated with higher COVID-19 contamination fears (B = − 0.02, 95% CI − 0.03, − 0.002). Higher odds of reporting dry mouth were associated with greater fear of COVID-19 socioeconomic consequences (AOR = 1.05, 95% CI 1.001, 1.09), and lower coping scores (AOR = 0.93, 95% CI 0.88, 0.99). The findings suggest an association between COVID-19 specific stresses and stress-related oral conditions and shed light on the possible link between mental and oral health, emphasizing the importance of integrated planning of care services.
Measurement of the scalar curvature of high-power lasers
Authors: Toma Antonela , Postavaru Octavian
Published: October 2022

High-power lasers develop high energy per unit time, and as energy curves space, we expect atomic energy levels to change. The fluorescence spectrum is a good measurement of the matrix elements involved in the Rabi oscillation and consequently allows us to determine the scalar curvature. At high Z, electrons oppose ionization even for strong intensities. Because high-power lasers address relativistic atoms, the wave functions involved must be solutions of the Dirac equation in a curved space-time. The paper can be seen as a way to check whether the Einstein’s gravitational theory is valid in the dimension of laboratory.
On the effectiveness of proton boron fusion therapy (PBFT) at cellular level
Authors: Shahmohammadi Beni Mehrdad , Islam M. Rafiqul , Kim Kyeong Min , Krstic Dragana , Nikezic Dragoslav , Yu Kwan Ngok , Watabe Hiroshi
Published: October 2022

The present work introduced a framework to investigate the effectiveness of proton boron fusion therapy (PBFT) at the cellular level. The framework consisted of a cell array generator program coupled with PHITS Monte Carlo package with a dedicated terminal-based code editor that was developed in this work. The framework enabled users to model large cell arrays with normal, all boron, and random boron filled cytoplasm, to investigate the underlying mechanism of PBFT. It was found that alpha particles and neutrons could be produced in absence of boron mainly because of nuclear reaction induced by proton interaction with 16O, 12C and 14N nuclei. The effectiveness of PBFT is highly dependent on the incident proton energy, source size, cell array size, buffer medium thickness layer, concentration and distribution of boron in the cell array. To quantitatively assess the effectiveness of PBFT, of the total energy deposition by alpha particle for different cases were determined. The number of alpha particle hits in cell cytoplasm and nucleus for normal and 100 ppm boron were determined. The obtained results and the developed tools would be useful for future development of PBFT to objectively determine the effectiveness of this treatment modality.
Development of the Japanese Parenting Style Scale and examination of its validity and reliability
Authors: Okubo Keisuke , Tang Yinqi , Lee Jiwon , Endo Toshihiko , Nozawa Sachiko
Published: October 2022

Parenting is an essential factor affecting child development. Therefore, several studies have focused on individual differences in parenting (i.e., parenting styles). However, there exist only a few useful scales in Japan, especially for parents who have preschool children. Therefore, a new scale for assessing parenting styles in Japan, based on the traditional theoretical framework, was developed, and examined for its validity and reliability. In Study 1, 82 original items were constructed and 1236 parents with preschool children completed these items. Next, 28 items for the Japanese Parenting Style Scale (JPSS) were selected based on factor analysis and the analyses of the graded response model. The JPSS included four factors: warmth, hostility, permissiveness, and harsh control. The results showed that each sub-scale had sufficient conceptual validity and internal consistency. In Study 2, the criterion-related validity of the JPSS was examined. A total of 1236 parents, non-participants in Study 1, completed the JPSS and other scales. The results showed sufficient criterion-related validity for the scale.
Novel perspective for protein–drug interaction analysis: atomic force microscope
Authors: Sun Heng , Wang Jianhua
Published: October 2022

Proteins are major drug targets, and drug–target interaction identification and analysis are important factors for drug discovery. The properties of protein-drug interaction can be evaluated using AFM-based approaches.
A signal-on fluorescent biosensor for mercury detection based on a cleavable phosphorothioate RNA fluorescent probe and metal–organic frameworks
Authors: Mei Yang , Yang Si , Li Chenxi , Chen Wenliang , Liu Rong , Xu Kexin
Published: October 2022

Schematic diagram of the biosensor for the detection of Hg2+ based on a cleavable phosphorothioate RNA fluorescent probe quenched by an MOF.
Chiral phosphoric acid-catalyzed dual-ring formation for enantioselective construction of N–N axially chiral 3,3′-bisquinazolinones
Authors: Pu Liang-Yuan , Zhang Yu-Jiao , Liu Wei , Teng Fan
Published: October 2022

An efficient, CPA-catalyzed, dual-ring formation strategy to construct a class of N–N axially chiral 3,3′-bisquinazolinones is reported for the first time. Notably, metal-free reaction conditions were also involved in this procedure.
Q-Band relaxation in chlorophyll: new insights from multireference quantum dynamics
Authors: Reiter Sebastian , Bäuml Lena , Hauer Jürgen , de Vivie-Riedle Regina
Published: October 2022

The ultrafast relaxation within the Q-bands of chlorophyll plays a crucial role in photosynthetic light-harvesting. We investigate this processvianuclear and electronic quantum dynamics on multireference potential energy surfaces.
Spin filtering and magnetoresistance effects in a dithiane ultra-short single-molecule insulator
Authors: Zeng Jing
Published: October 2022

Dithiane-based magnetic molecular junctions exhibit spin-filtering and magnetoresistance effects, and have profound potential for application in the field of spintronics.
New m-MTDATA skeleton-based hole transporting materials for multi-resonant TADF OLEDs
Authors: Bucinskas A. , Bezvikonnyi O. , Durgaryan R. , Volyniuk D. , Tomkeviciene A. , Grazulevicius J. V.
Published: October 2022

Investigation of the impact of different types of electron donating groups on the thermal, electrochemical, charge transporting, and optoelectrical properties of new hole transporting m-MTDATA skeleton-based materials.
Formation of the acenaphthylene cation as a common C2H2-loss fragment in dissociative ionization of the PAH isomers anthracene and phenanthrene
Authors: Banhatti Shreyak , Rap Daniël B. , Simon Aude , Leboucher Heloïse , Wenzel Gabi , Joblin Christine , Redlich Britta , Schlemmer Stephan , Brünken Sandra
Published: October 2022

This study uses cryogenic infrared spectroscopy combined with quantum-chemical and molecular dynamics calculations to elucidate the acetylene-loss fragmentation pathway in the dissociative ionization of two isomeric polycyclic aromatic hydrocarbons.
Review on cobalt ferrite as photo-Fenton catalysts for degradation of organic wastewater
Authors: Wang Zhiwei , You Junhua , Li Jingjing , Xu Jingsheng , Li Xuanhao , Zhang Hangzhou
Published: October 2022

The photo-Fenton degradation mechanism of CoFe2O4 with H2O2 and PMS as oxidants and some effective strategies to improve the catalytic performance.
Highly efficient sorption and luminescence sensing of oxoanionic species by 8-connected alkyl-amino functionalized Zr4+ MOFs
Authors: Pournara Anastasia D. , Evangelou Dimitrios A. , Roukounaki Christina , Andreou Evangelos K. , Armatas Gerasimos S. , Lazarides Theodore , Manos Manolis J.
Published: October 2022

Alkylamino-functionalized Zr4+ MOFs with 8-c nets and easily exchangeable terminal OH−/H2O ligands show remarkable sorption efficiency for toxic and radionuclide-related oxoanions and sensing capability for hexavalent chromium in ppb levels.
Rotaxane formation by an allosteric pseudomacrocyclic anion receptor utilising kinetically labile copper(i) coordination properties
Authors: Aizawa Taeko , Akine Shigehisa , Saiki Toshiyuki , Nakamura Takashi , Nabeshima Tatsuya
Published: October 2022

A pseudomacrocyclic receptor with hydrogen bonding units spontaneously generates a rotaxane with an anionic axle possessing large end groups.
Base-promoted [4 + 2] annulation of pyrrole-2-carbaldehyde derivatives with β,γ-unsaturated α-ketoesters: syntheses of 5,6-dihydroindolizines
Authors: Zhang You-Ya , Li Lin , Ma Ai-Jun , Wang Wei-Feng , Peng Jin-Bao
Published: October 2022

A base-promoted [4 + 2] annulation of pyrrole-2-carbaldehyde derivatives with β,γ-unsaturated α-ketoesters for the syntheses of multisubstituted 5,6-dihydroindolizines was developed.
Mutation of the eunicellane synthase Bnd4 alters its product profile and expands its prenylation ability
Authors: Xu Baofu , Ning Wenbo , Wei Xiuting , Rudolf Jeffrey D.
Published: October 2022

Variants of the bacterial eunicellane synthase Bnd4 have expanded capabilities to create cyclic diterpenes and prenylate small molecule nucleophiles.
Effect of flaxseed gum on the brittleness of oleogels based on candelilla wax
Authors: Su Caihong , Li Yancai , Zhu Jiabin , Gao Yuan , Li Qi , Du Shuangkui , Yu Xiuzhu
Published: October 2022

Oleogels using candelilla wax as a gelling agent and flaxseed gum as a structural modifier: preparation and characterization.
Electrochemical creatinine detection for advanced point-of-care sensing devices: a review
Authors: Gonzalez-Gallardo Carlos Luis , Arjona Noé , Álvarez-Contreras Lorena , Guerra-Balcázar Minerva
Published: October 2022

Creatinine is an amino acid derived from creatine catabolism at different steps of the body's organs, and its detection is significant because levels out of normal values are linked to some diseases like kidney failure.
Characteristics and performance studies of a composite polymer electrolyte membrane based on chitosan/glycerol–sulfosuccinic acid modified montmorillonite clay
Authors: Kedang Yohana Ivana , Priyangga Arif , Atmaja Lukman , Santoso Mardi
Published: October 2022

The CS/SSA/GLY/MMT membrane was fabricated for direct methanol fuel cell application.
Synthesis of 5-aryl-3,3′-bis-indolyl and bis-7-aza-indolyl methanone derivatives from 5-bromo-7-azaindoles via sequential methylenation using microwave irradiation, CAN oxidation, and Suzuki coupling reactions
Authors: Pavithra Elavarasan , Kannadasan Sathananthan , Shanmugam Ponnusamy
Published: October 2022

A catalyst-free methylenation of 7-aza indoles under MW irradiation and CAN oxidation of methylenated products to the respective ketones are achieved. Plausible mechanisms of the reactions and photophysical properties of the products are described.
Blockchain‐enabled handover skipping for high mobility train passengers
Authors: Asad Syed Muhammad , Klaine Paulo Valente , Rais Rao Naveed Bin , Hussain Sajjad , Abbasi Qammer H. , Imran Muhammad Ali
Published: October 2022

Due to the cell size decrements and limited sojourn time on a high speed train mobility, unnecessary handovers (HOs) occur, which can lead to higher network communication costs, and affect passengers quality of service (QoS). This paper proposes a novel blockchain‐enabled privacy preserving HO skipping framework by using train mobility dataset from the city of London. Using a complex dataset parameters, passenger traffic flows are modelled by averaging various train lines and station's footfall numbers utilising blockchain to maintain privacy. The framework stores pseudonym addresses in order to track the path of users. The proposed framework allows for a better trade‐off in terms of 2% (approx.) gain in average throughput, over 100% gain in the last‐hop signal quality, and a 50% reduction in HO costs, while also addressing the needs for resources to operate the blockchain.
Multi‐objective programming optimization algorithm for large‐scale grid connection of new energy considering frequency stability
Authors: Jin Panlong , Gong Jianfeng , Ge Pengjiang , Guo Ning , Qu Gaoqiang
Published: October 2022

In order to solve the problem of power supply frequency instability after large‐scale grid connection of new energy, a multi‐objective programming optimization algorithm for large‐scale grid connection of new energy considering frequency stability is proposed. Before planning, the limit evaluation method for grid connection of new energy considering the frequency stability of the power system is used to judge the frequency change limit of the power system to be connected to the grid. Through the real‐time measurement method of power system frequency under the large‐scale grid connection of new energy, the real‐time change value of power system frequency under the large‐scale grid connection of new energy is calculated. Combined with the mastered frequency change limit and real‐time frequency change value of power system, an optimization decision‐making model for multi‐objective planning of large‐scale grid connection of new energy is constructed, and the improved genetic algorithm is used to solve the grid connection strategy that the frequency control quantity does not exceed the limit and the auxiliary cost of multi‐objective planning for grid connection is the minimum. It is verified that the frequency of IEEE‐30 standard node system is stable and within the limit after the algorithm is used, and the auxiliary cost of multi‐objective planning for grid connection is significantly reduced.
HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone
Authors: Orell-Miquel J. , Nowak G. , Murgas F. , Palle E. , Morello G. , Luque R. , Badenas-Agusti M. , Ribas I. , Lafarga M. , Espinoza N. , Morales J. C. , Zechmeister M. , Alqasim A. , Cochran W. D. , Gandolfi D. , Goffo E. , Kabáth P. , Korth J. , Lam K. W. F. , Livingston J. , Muresan A. , Persson C. M. , Van Eylen V.
Published: October 2022

HD 191939 (TOI-1339) is a nearby (d = 54 pc), bright (V = 9 mag), and inactive Sun-like star (G9 V) known to host a multi-planet transiting system. Ground-based spectroscopic observations confirmed the planetary nature of the three transiting sub-Neptunes (HD 191939 b, c, and d) originally detected by TESS and were used to measure the masses for planets b and c with 3σ precision. These previous observations also reported the discovery of an additional Saturn-mass planet (HD 191939 e) and evidence for a further, very long-period companion (HD 191939 f). Here, we report the discovery of a new non-transiting planet in the system and a refined mass determination of HD 191939 d. The new planet, HD 191939 g, has a minimum mass of 13.5±2.0 M⊕ and a period of about 280 days. This period places the planet within the conservative habitable zone of the host star, and near a 1:3 resonance with HD 191939 e. The compilation of 362 radial velocity measurements with a baseline of 677 days from four different high-resolution spectrographs also allowed us to refine the properties of the previously known planets, including a 4.6σ mass determination for planet d, for which only a 2σ upper limit had been set until now. We confirm the previously suspected low density of HD 191939 d, which makes it an attractive target for attempting atmospheric characterisation. Overall, the planetary system consists of three sub-Neptunes interior to a Saturn-mass and a Uranus-mass planet plus a high-mass long-period companion. This particular configuration has no counterpart in the literature and makes HD 191939 an exceptional multi-planet transiting system with an unusual planet demographic worthy of future observation.
Shock-wave heating mechanism of the distant solar wind: Explanation of Voyager-2 data
Authors: Korolkov S. D. , Izmodenov V. V.
Published: October 2022

Aims. One of the important discoveries made by Voyager-2 is the nonadiabatic radial profile of the solar wind proton temperature. This phenomenon has been studied for several decades. The dissipation of turbulence energy has been proposed as the main physical process responsible for the temperature profile. The turbulence is both convected with the solar wind and originated in the solar wind by the compressions and shears in the flows and by pick-up ions. The compression source of the solar wind heating in the outer heliosphere appears due to shock waves, which originated either in the solar corona or in the solar wind itself. The goal of this work is to demonstrate that the shock-wave heating itself is enough to explain the temperature profile obtained by Voyager-2.

Methods. The effect of shock-wave heating is demonstrated in the frame of a very simple spherically symmetric high-resolution (in both space and time) gas-dynamical data-driven solar wind model. This data-driven model employs the solar-wind parameters at 1 AU with minute resolution. The data are taken from the NASA OMNIWeb database. It is important to underline that (1) the model captures the shocks traveling and/or originating in the solar wind, and (2) other sources of heating are not taken into account in the model. We extended this simple model to the magnetohydrodynamic (MHD) and two-component models and found very similar results.

Results. The results of the numerical modeling with the one-minute OMNI data as the boundary condition show very good agreement with the solar-wind temperature profiles obtained by Voyager-2. It is also noteworthy that the numerical results with daily averaged OMNI data show a very similar temperature profile, while the numerical runs with 27-day-averaged OMNI data demonstrate the adiabatic behavior of the temperature.
Mediterranean viticulture in the context of climate change
Authors: Dinis Lia-Tânia , Bernardo Sara , Yang Chenyao , Fraga Hélder , Malheiro Aureliano C. , Moutinho-Pereira José , Santos João A.
Published: October 2022

The exposure of viticulture to climate change and extreme weather conditions makes the winemaking sector particularly vulnerable, being one of its major challenges in the current century. While grapevine is considered a highly tolerant crop to several abiotic stresses, Mediterranean areas are frequently affected by adverse environmental factors, namely water scarcity, heat and high irradiance, and are especially vulnerable to climate change. Due to the high socio-economic value of this sector in Europe, the study of adaptation strategies to mitigate the negative climate change impacts are of main importance for its sustainability and competitiveness. Adaptation strategies include all the set of actions and processes that can be performed in response to climate change. It is crucial to improve agronomic strategies to offset the loss of productivity and likely changes in production and fruit quality. It is important to look for new insights concerning response mechanisms to these stresses to advance with more effective and precise measures. These measures should be adjusted to local terroirs and regional climate change projections for the sustainable development of the winemaking sector. This review describes the direct climate change impacts (on phenology, physiology, yield and berry quality), risks, and uncertainties for Mediterranean viticulture, as well as a set of canopy, soil and water management practices that winegrowers can use to adapt their vines to warmer and drier conditions.
Three-dimensional fine model construction of instability in dangerous rock masses
Authors: Cao Jingxuan
Published: October 2022

Rock collapse is a common geological hazard in mountainous areas, and the prediction of the stability of dangerous rocks has always been a difficult problem in engineering practice. In this paper, a dangerous rock body in Ritu, Tibet, was scanned and measured using UAV tilt photography and 3D laser scanning technology, and the high-precision data collected by the UAV were processed and constructed into a 3D fine model, and the movement state of the dangerous rock body when it is destabilised was numerically simulated using Unity3D. In order to verify the simulation effect, a field test was conducted on a slope around Lhasa and the field test results were fitted to the numerical simulation results. By comparing the data obtained, the 3D modelling data of the high and steep slope collected by the UAV was more refined and the model was more complete than that collected by the 3D laser. Comparing the field test results with the numerical simulation results, the fit between the two is good, indicating the feasibility of using the model data obtained by UAV tilt photography for hazardous rock investigation, which provides an important reference value for future investigations of hazardous rock on high and steep slopes.
Drilling Fluid Technology for the Third Interval of Sunan 23-113H2 Well
Authors: Wang Hao , Wei Yan
Published: October 2022

In the construction process of Sunan 23-113H2 well, there wasYanchang well, Liujiagou well and Shihezi well, when passing through the well, the mudstone collapse of the large slope section caused the difficulty of reaming off, after repeated reaming off, the wellbore still cannot be unblocked. Finally, the well structure was changed from the conventional Third Interval to the optimized Third Interval, and the technical casing is lowered to the depth of the inclined 45° well in the inclined shaft section. After the Third Interval, the mudstone of the large inclined section and the horizontal section collapsed, and the well leakage of the inclined well section and the horizontal section was still prominent. According to the construction situation of the Third Interval of the well, this paper optimizes the drilling fluid and refines the leak prevention and plugging measures through indoor experiments to provide technical support for safe drilling.
Experimental study on aerosol dry deposition characteristics in wind tunnel simulation
Authors: Lyu Sibo , Liu Wusheng , Li Ruojie , Tian Zhijie
Published: October 2022

The radioactive aerosols are produced during the operation of nuclear power plants will cause certain harm to human body. Dry deposition is one of the important factors affecting the aerosols deposition to the ground, and radioactive aerosols and common aerosols have similar properties in terms of dry deposition. Based on the similarity theory, with the help of the newly built environmental wind tunnel of the China Institute for Radiation Protection, with a part of a nuclear power plant site as a research object, and the wind tunnel simulation experiment of aerosol dry deposition characteristics was carried out in groups. The particle dynamic analyzer (PDA) was used to measure and calculate the dry deposition velocity of aerosol particles, and the results are grouped, analyzed and discussed. The research results show that when the variables are controlled, when the underlying surfaces are the same, compared with aerosol particles with particle sizes of 0-2 μm and 2-5 μm, the dry deposition velocity of aerosol particles greater than 5 μm is more likely to change with the increase of wind speed.
Study on The Test Methods of Heavy Metal in Exhaust Gas for a Copper Melting Factory
Authors: Wang Jing , Wang Jilu , Liu Zhenyu
Published: October 2022

The raw materials, auxiliary materials and production process of a typical copper smelting factory were investigated, the emission characteristics of exhaust gas pollutants produced by the production process were studied. To test the samples by graphite furnace, firstly in order to unify the digestion system in the experiment, the applicability of three different method was verified by experiments. According to the results, the recovery of nitric acid-perchloric acid digestion system is a relatively good, so it can be recommended. The testing results show linear range, detection limit and detectability of the method could meet the requirements of environmental monitoring.
Study on intelligent analysis algorithm for achieving standard of polymer flooding well group
Authors: Wang Hanqiang
Published: October 2022

In order to master the development effect of polymer flooding well group, it is necessary to accurately analyze the influence of different factors in the whole polymer flooding process on the development index. Combined with the principle of big data analysis, based on the neighborhood rough set theory and Kmeans clustering algorithm, an intelligent analysis algorithm is proposed to determine the achievement of development indicators of polymer flooding well group. Firstly, the neighborhood rough set was used to reduce the attributes of the influencing factors of the Wells with and without the standards. Secondly, Kmeans algorithm was used to cluster the reduced influencing factors to delete the data inconsistent with the actual compliance. Finally, the clustering model is used to judge the standard status of other well groups, and the practical application effect is very good.
In-situ SEM characteristics of dispersed organic matter in continental shale with its implication for dessert evaluation--A case study of Paleogene shale in the Cangdong Sag, Bohai Bay Basin, China
Authors: Xie Delu , Zhao Xianzheng , Pu Xiugang , Jin Fengming , Chen Changwei , Jiang Wenya , Han Wenzhong , Song Shunyao , Zhang Wei , Shi Zhannan , Dong Xiongying , Wang Pengtao , Zhao Chen , Ma Ling , Li Cuiping , Li Haodong , He Chuan , Wang Na , Zhou Jing
Published: October 2022

Organic matter (OM) in continental shale serves as both the source of oil and gas and the storage space in unconventional petroleum systems. However, directly identifying the types of organic matter under SEM is challenging when simultaneously observing minerals and pores. Kong2 Member(E2k2) of Paleogene in Cangdong sag of Bohai Bay basin is a typical continental shale oil layer in China. Based on the positioning observation technology combining field emission scanning electron microscope (FE-SEM) and fluorescence microscope, the in-situ SEM identification and observation of macerals were carried out, and the identification methods and characteristics of organic macerals were summarized. The results show that: (1) Organic macerals in E2k2 shale are divided into vitrinite, inertinite, liptinite and solid bitumen by external morphology, hardness, brightness, color, protrusion, pore and fracture development of organic matter, and further subdivided into multiple subcategories. Based on the SEM charging effect of the remaining oil, it is further confirmed that the shale movable oil and oil generation potential developed by lipoid group is the largest, while the shale movable oil and oil generation potential developed by vitrinite group and inertinite group is the worst; (2) The organic pores include primary pores and secondary pores. The pores of primary organic matter are derived from the biological structure of primary organic matter, and the secondary organic pores are developed during the thermal maturation of oily organic matter. Clay mineral catalysis, difference of hydrocarbon generation potential and residual pores of primary organic matter control the development of organic pores; (3) Calcareous-dolomitic shale and felsic shale are typical lithology formed in relatively dry and humid climate respectively, and the types of organic macerals are significantly different. Although the former has weak total hydrocarbon generation, it has stronger oil generation potential and is worthy of attention in dessert prediction and exploration.
Quantitative analysis of the driving factors of carbon emissions and the evolution of carbon neutrality
Authors: Niu Ben , Cao Qidi , Xu Zijian , Zhang Yujie
Published: October 2022

Based on the selection of quantitative indicators and divisions, this paper conducts an overall quantitative analysis. And some hard-to-measure energy structure and industrial structure carbon emission driving factors, combined with the laws of carbon emission and absorption are analyzed. According to the definition and measurement standards of low-carbon economic development, we select 18 energy structure indicators and 47 industrial structure indicators for quantitative analysis. The driving factors of the energy structure are mainly carbon emission intensity and energy conversion efficiency. The driving factors of industrial structure are mainly divided into industrial proportion and economic scale. The rapid growth of GDP level is asynchronous with the total amount of carbon emissions, and gradually shows a state of “relative decoupling”
Analysis of common problems of steam engine technical supervision in thermal power plant
Authors: Che Yongqiang , Chen Yisen , Lv Haizhen
Published: October 2022

Through the work of steam turbine technical supervision, the paper focuses on the construction of technical supervision system, daily management, equipment management, operation indicators, countermeasures management, hidden danger investigation, network-related safety and personnel training and other aspects, and finds out the existing common problems and analyzes them.
Research on the in-situ stress inversion method of mine based on GA-BP algorithm
Authors: Qin Zhongcheng , Li Xiaohe , Liu Yongle , Gao Guanghui
Published: October 2022

In-situ stress is the basis for designing mine roadway supports. Firstly, based on the GA-BP algorithm, establish a numerical analysis model, apply orthogonal tests, to establish the relationships between in-situ stress and lateral pressure coefficient, different rock parameters. Then, the optimization model is built by setting the sum of squares difference between measured and calculated in-situ stresses as optimization targets. Finally, using the model to solve the in-situ stress. Results show that the relative error between GABP algorithm inversion results and measured values is 2.9% averagely, while the relative error between BP algorithm inversion results and measured values is 4.4% averagely. Inversion methods can provide reference for similar mine in-situ stress inversion.
Drilling practice Zhongzihao gas exploration well in the thrust belt of the western margin
Authors: Wang Hao , Wei Yan
Published: October 2022

The geological structure of Zhong-7 well and Zhong-14 well is the Hengshanpu section of the thrust belt in the western margin of the Ordos Basin, and there have been few construction wells in this area in the past two years. During the construction of the two wells, the formation stability of the entire well section was extremely poor, especially Shiqianfeng. The following strata collapsed seriously and frequently encountered blockages during tripping. During the construction, measures such as optimizing the system, enhancing plugging, improving suppression, wall patching in complex well sections, and fiber cleaning were adopted to obtain valuable experience for the later construction of the Zhongzi gas exploration well in the thrust belt of the western margin.
A Trait-based Investigation of Fungal Decomposition with Machine Learning
Authors: Du Shiyi , Zhao Yiran , Tian Bingwei
Published: October 2022

Fungi are of great functional significance in terrestrial ecosystems as the main decomposers. To better understand their decomposing process and population coexistence, we first describe and quantify the decomposition rate, focusing on three traits of interest selected by machine learning algorithm: moisture tolerance, hyper extension rate, and hyphal density and obtain, and use a Ternary Linear Regression Decomposition Model (TLRDM) to quantify the decomposition rate. Then, to incorporate the interactions, we build an Interactive Decomposition Model (IDM) and creatively employ a Three-player Logistic-based Competition Population Model (TPLCM). Based on logistic growth, we formulate a differential equation group, fit the curves of this unsolvable equation group to obtain a function of population density versus time and compare the decomposition rates of three populations under interactive and non-interactive conditions, followed by analyzing the impact of the communications on decomposing ability. We obtain the population combinations that can coexist in certain climates. Furthermore, we include environmental factors, conducting a sensitivity analysis to describe how short-term and long-term climate changes affect our models.
Research on Carbon Emission Market Pricing Based on Putty-Clay Vintage Model
Authors: Zhang Kailin , Zhao Ailin , Yan Qibo , Sheng Meiqi , Zhang Xiaochun
Published: October 2022

With the rapid development of economy, the ecological environment problem of global warming is becoming increasingly serious. In order to effectively implement carbon emission reduction, countries have successively established carbon tax system or carbon emission trading market. China has established carbon emissions trading market in seven pilot provinces since 2013, and plans to implement the national carbon emissions trading market in the ‘14th Five-Year’ period. In this process, how to price ‘carbon’ is the primary problem of China’s carbon trading market construction. This paper first reviews the current development status of carbon emissions pricing in China’s carbon trading pilot, and then analyzes the theoretical basis and price formation mechanism of carbon emissions trading pricing in the current carbon trading market, and then puts forward the carbon emissions pricing model based on Putty-Clay Vintage model, and puts forward reasonable policy suggestions for improving the current carbon pricing strategy in China.
Application of new geosteering technology in thin reservoir
Authors: Yang Lidong
Published: October 2022

Because some oilfields in China belong to the thin bottom water reservoir model, the actual drilling process is technically difficult. In order to ensure the maximum drilling operation of the target layer and the basic development effect of the oilfield, technicians should introduce advanced steering tools and study new geosteering technology to fundamentally ensure the exploitation quality of thin oil reservoirs.After exploring the introduction of new geological guidance technology in detail, this paper further explores the principle of new geological guidance technology, and summarizes the application strategy of new geological guidance technology combined with the development of thin-layer reservoir.
Discussion on engineering geology of oil reservoir in oil and gas field development
Authors: Yu Jing
Published: October 2022

As an essential resource in the process of national economic development, oil and gas has a very important strategic position. As a non-renewable resource, various countries and regions attach great importance to the development and use of oil and gas resources. Generally, oil and gas resources are buried deep underground and are the most critical resources in geological exploration. Reservoir development is a very important work, in the development process involves a lot of professional content, if the development is not reasonable, there will be some geological problems. Therefore, this paper chooses reservoir engineering geological problems in oil and gas field development as the research object, first expounds the impact of reservoir geological characteristics on oil and gas field development, then analyzes the existing problems, and finally proposes corresponding solutions to improve the quality and efficiency of oil and gas field development.
Analysis of Favorable Injection-production Area Near the Fault Where the Directional Wells Were Deployed
Authors: Meng Lili
Published: October 2022

Through the large-scale application of directional well technology, X development zone has achieved good potential tapping effect near the fault. However, with the increase of production batches of directional wells, the proportion of high-yield wells decreases, and the difficulty of well location optimization increases gradually. In order to further improve the recovery near the fault, under the condition of large-scale development of sand body in the study area, this paper focuses on the analysis of the deployment area conducive to the high yield of directional wells from the perspective of injection-production relationship. Combined with the development practice of 48 directional wells that have been deployed and have achieved good development results, the well distribution effect is evaluated from three aspects of well pattern, well spacing and injection-production location, and the deployment principle of directional wells are determined. The favorable injection-production area for the deployment of directional wells near the fault is summarized, which indicates the direction for further improving oil recovery near the fault in the old oilfield.
Research and demonstration of 20kW wind and solar complementary coupling power supply in Xiangmao Township, Tibet
Authors: Wang Junle , Wan Li , Zhang Xiaoyu
Published: October 2022

In this paper, through technological research and development, we will improve the existing technology of domestic wind / light complementary power stations, apply wind power generation equipment with a single unit capacity of 5kW and 10kW in Xiangmao Township, Naqu City, Tibet, and optimize the system design. The completed power station will supply power to 42 herdsmen in Xiangmao Township through centralized power supply, and use the form of wind and light complementary coupling power generation to reduce the construction cost of the power station and improve the reliability of the system, It will provide a scientific basis for the next promotion and application of wind and solar projects.
Analysis on the Formation of Water/Oil Emulsion System of High Water-cut Crude Oil and Its Profile and Flooding Effect
Authors: Ge Hongjiang , Cheng Jing , Ge Dangke , Yang Weihua , Guo Zhiqiang , Ren Lihua , Bao Jianjun , Li Qian , Ma Xiaoyan , Liang Xiaoliang
Published: October 2022

In view of the limitations of modulated flooding technology in low permeability high temperature reservoirs, the water/oil emulsion with the effect of expanding sweep volume and its influence on the effect of modulated flooding were studied. Under the condition of high water content (80% water content), the dispersion system formed by emulsifier 55# and crude oil is mainly water/oil emulsion. At the same time, the influence of surfactant type, water content, temperature and other factors on the formation of water/oil emulsion system was investigated, and the influence of emulsion properties on the effect of displacement was analyzed. The low permeability core experiment shows that the emulsifier with the effect of expanding sweep volume can improve the oil recovery by 17.93% on the basis of water flooding, which is obviously higher than that of polymer flooding. At the same time, emulsifier has good temperature resistance, which is of great significance for enhancing oil recovery in high temperature and low permeability water drive reservoirs.
Early-confinement strategy to tackling COVID-19 in Morocco; a mathematical modelling study
Authors: El Hail Khalid , Khaladi Mohamed , Ouhinou Aziz
Published: October 2022

Morocco is among the countries that started setting up confinement in the early stage of the COVID-19 spread. Comparing the number of cumulative cases in various countries, a partial lock-down has delayed the exponential outbreak of COVID-19 in Morocco. Using a compartmental model, we attempt to estimate the mean proportion of correctly confined sub-population in Morocco as well as its effect on the continuing spread of COVID-19. A fitting to Moroccan data is established. Furthermore, we have highlighted some COVID-19 epidemic scenarios that could have happened in Morocco after the deconfinement onset while considering a different combination of preventive measures.
Nonlinear PDEs approach to statistical mechanics of dense associative memories
Authors: Agliari Elena , Fachechi Alberto , Marullo Chiara
Published: October 2022

Dense associative memories (DAMs) are widely used models in artificial intelligence for pattern recognition tasks; computationally, they have been proven to be robust against adversarial inputs and, theoretically, leveraging their analogy with spin-glass systems, they are usually treated by means of statistical-mechanics tools. Here, we develop analytical methods, based on nonlinear partial differential equations, to investigate their functioning. In particular, we prove differential identities involving DAM’s partition function and macroscopic observables useful for a qualitative and quantitative analysis of the system. These results allow for a deeper comprehension of the mechanisms underlying DAMs and provide interdisciplinary tools for their study.
On-machine self-calibration of rotary encoders in the normal vector tracing method
Authors: Miyawaki Takashi , Watanabe Tsukasa , Endo Katsuyoshi
Published: October 2022

We developed a nano-profiler to determine the shape from slope distribution data for highly accurate free-form surface shape measurement; for example, high-precision optical systems are required in the x-ray and semiconductor fields. An accuracy of ±0.2 µrad is required to achieve a shape measurement accuracy of 30 nm. The angle of the rotary stage is controlled by the rotary encoder, and the calibration curve of the rotary encoder is guaranteed by the national standard machine. However, the error associated with assembling the rotary encoder to the device is not included in the national standard machine's calibration data. Therefore, we propose a method that combines self-calibration with six encoder heads and calibration with a national standard machine. Using this method reduces the extent of calibration by the national standard machine and minimizes the influence of the assembly error. Furthermore, to verify whether the calibration in the proposed method is appropriate, a new encoder for evaluation was installed and evaluated. The results revealed that the influence of the assembly error was reduced to the minimum, and the difference in the calibration between the encoder for evaluation and the national standard machine was 0.027 µrad.