Effect Factors Research Articles

Modelling of critical success factors to improve the supply chain resilience for sustainable construction sector

PurposeThe construction industry has an intricate and constantly evolving supply chain (SC) that includes multiple stakeholders and processes. Enhancing SC resilience (SCR) is essential for promoting industry expansion and competitiveness. The SCR has attracted considerable interest because of the increasing worldwide challenges and threats facing SCs. This study introduces a conceptual framework for recognizing and classifying resilient supply chains’ critical success factors (CSFs) in sustainable construction.Design/methodology/approachThis research employs a sequential mixed-methods approach, combining qualitative and quantitative analyses. Initially, an extensive literature review and expert consultations were conducted to identify potential CSFs. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was then applied to classify these CSFs into cause-and-effect groups. To further analyse the interrelationships among the CSFs, interpretive structural modelling (ISM) was utilised, establishing a hierarchical framework. This integrated methodology provides a comprehensive understanding of the CSFs’ relative importance and their driving and dependence power, facilitating targeted interventions for enhancing supply chain resilience in the construction sector.FindingsThis integrated methodology establishes a hierarchical ranking of CSFs across five levels by revealing their causal interrelationships. The study addresses crucial SCR issues and provides actionable insights. The 17 finalized CSFs have 12 causal and five effect factors. The “safety measures and guidelines” have the highest driving potential, whereas the “availability of standardized materials/equipment” and “skilled human resources” depend highly on causal CSFs. The findings will offer a detailed perspective to narrow the gap between unsustainability and sustainability by enhancing the resilience of CSC.Practical implicationsIt offers a pragmatic framework for allocating resources and efforts to enhance the resilience of construction supply chains (CSCs). Policymakers can also use this study to create a more resilient SC for sustainable construction.Originality/valueThis study uniquely identifies and evaluates CSFs for SCR in the construction industry, providing a novel analysis of their driving power, dependence power and ranking. No previous studies have demonstrated such a comprehensive evaluation.

Exploring the Influencing Factors of the Syntactic Priming Effect in French Learners

Abstract: The syntactic priming effect, a prevalent and common linguistic phenomenon, has captured the keen interest of scholars within the realm of second language acquisition, leading to a wealth of insightful research findings. This study focuses on the syntactic priming effect specifically observed in learners of French as a second language. It meticulously reviews the research paradigms frequently adopted in prior experiments and consolidates the influencing factors of the French syntactic priming effect into two primary categories: internal learner factors and external linguistic factors. By scrutinizing these factors, the study uncovers the intricacies that shape the priming effect in French language learning. Furthermore, it pinpoints the limitations inherent in current research endeavors and proposes avenues for future investigations. The ultimate goal of this study is to offer some valuable insights that can help teachers to adapt their teaching methods and enhance French language teaching practices, fostering more effective learning outcomes for students.

Artificial gravity: an effective countermeasure for microgravity-induced headward fluid shift?

Long-duration spaceflight is associated with pathophysiological changes in the intracranial compartment hypothetically linked to microgravity-induced headward fluid shift. This study aimed to determine whether daily artificial gravity (AG) sessions can mitigate these effects, supporting its application as a countermeasure to spaceflight. Twenty-four healthy adult volunteers (16 men) were exposed to 60 days of 6° head-down tilt bed rest (HDTBR) as a ground-based analog of chronic headward fluid shift. Subjects were divided equally into three groups: no AG (control), daily 30-min intermittent AG (iAG), and daily 30-min continuous (cAG). Internal carotid artery (ICA) stroke volume (ICASV), ICA resistive index (ICARI), ICA flow rate (ICAFR), aqueductal cerebral spinal fluid flow velocity (CSFV), and intracranial volumetrics were quantified at 3 T. MRI was performed at baseline, 14 and 52 days into HDTBR, and 3 days after HDTBR (recovery). A mixed model approach was used with intervention and time as the fixed effect factors and the subject as the random effect factor. Compared with baseline, HDTBR was characterized by expansion of lateral ventricular, white matter, gray matter, and brain + total intracranial cerebral spinal fluid volumes, increased CSFv, decreased ICASV, and decreased ICAFR by 52 days into HBTBR (All Ps < 0.05). ICARI was only increased 14 days into HDTBR (P < 0.05). Neither iAG nor cAG significantly affected measurements compared with HDTBR alone, indicating that 30 min of daily exposure was insufficient to mitigate the intracranial effects of headward fluid shift. Greater AG session exposure time, gravitational force, or both are suggested for future countermeasure research.NEW & NOTEWORTHY Brief exposure to continuous or intermittent artificial gravity via short-arm centrifugation was insufficient in mitigating the intracranial pathophysiological effects of the headward fluid shift simulated during head-down tilt bed rest (HDTBR). Our results suggest that greater centrifugation session duration, gravitational force, or both may be required to prevent the development of spaceflight-associated neuro-ocular syndrome and should be considered in future ground-based countermeasure studies.

The effect of depression status on osteoarthritis: A powerful two-step Mendelian randomization study.

There is no conclusive epidemiological evidence regarding the relationship between OA, depression, and whole-body fat mass. In this study, we conducted a two-step Mendelian randomization analysis to determine the causal relationships between them. The published summary-level data are from genome-wide association studies (GWAS). Our study included 357,957 samples and 10,828,862 SNPs. Finally, the outcome GWAS data for OA came from a GWAS on the genetic architecture of OA using UK Biobank data. This study included 50,508 samples and 15,845,511 SNPs. We used five different modes of analysis, including inverse variance weighted meta-analysis (IVW), MR-Egger regression, weighted median, simple mode, and weighted mode, to explore causal relationships. We found a positive correlation between depression and body fat mass, with depression leading to body fat mass an increase in (IVW result: p=3.39E-07, OR (95% CI) =2.16 (1.61, 2.90)). We also found a positive correlation between body fat mass and OA, with body fat mass increasing the risk of OA (IVW result: p=1.65E-33, OR (95% CI)=1.98 (1.77, 2.21). Body fat mass played an important role as a mediator in the causal relationship between depression and OA, with approximately 14% of the risk of OA caused by depression being mediated by body fat mass. Our study offers reliable evidence that depression has a detrimental impact on the risk of OA. Future research can support these associations from improving depressed effect, including social, biological, and behavioral factors, to reduce the risk of chronic diseases such as osteoarthritis. And we identified high-risk variation of alleles which associated with OA and depression can be used to predict disease and provide a basis for clinical intervention and treatment of OA.

A Comparative Study of Building Energy Consumption Prediction Methods

Continued usage of fossil fuel-based electricity generation is one of the main factors for the greenhouse effect. As the greenhouse effect increase, the ambient temperature of the earth will also increase. As the temperature increase, the usage of air conditioning in buildings is also expected to increase. Since that more than 50 % of building energy consumption goes to air conditioning, it is utterly important to look into the methods that can be used to predict the impact of variations in temperature towards building energy consumption. This paper hence tries to perform a conceptual review on the prevalent methods that have been used for prediction of energy consumption, grouped in the category known as the white box, grey box and black box. The comparison of the different methods used in forecasting of energy consumption is discussed in terms of application, input, specific approach, advantage and disadvantage. It is hoped that the work carried out in this paper will be the reference to jump start the research work of others in this field of study.

Progress in Corrosion Protection Research for Supercritical CO2 Transportation Pipelines

Carbon Capture, Utilization, and Storage (CCUS) technology is an emergent field with the potential for substantial CO2 emissions reduction, enabling low-carbon utilization of fossil fuels. It is widely regarded as a critical technology for combating global climate change and controlling greenhouse gas emissions. According to recent studies, China has identified CCUS as a key emissions reduction technology in climate change response and carbon neutrality objectives. Within this framework, supercritical CO2 (SC-CO2) transport pipelines are an essential means for efficient and safe transportation of CO2. Corrosion protection of pipelines enhances the efficiency and safety of CCUS technology and supports broader implementation and application. This paper reviews the current research on corrosion protection for SC-CO2 transport pipelines, discusses effect factors, compares various corrosion protection strategies, and analyzes the challenges in corrosion protection of SC-CO2 transport pipelines. It concludes with a perspective on future research and development directions in this field. This paper is dedicated to providing new research strategies for pipeline corrosion protection in CCUS technology in the future, and providing technical support for pipeline corrosion protection in CCUS industrial applications.

Aging Performance and an Improved Evaluation Method for PE80 and PE100 Pipelines for Urban Gas

Polyethylene (PE) pipes are widely used in urban gas transportation due to their good toughness and corrosion resistance. Currently, the designed service life of a PE pipeline is 50 years, and some urban gas PE pipelines are approaching their service life. However, research on the aging assessment of PE pipelines is not complete, and it is impossible to effectively predict their aging status in service. Once urban gas PE pipelines are damaged, serious accidents may be caused. PE80 and PE100 pipelines are commonly used for urban gas, and improved accelerated aging tests were conducted considering different conditions of pressure, pipe diameter, and temperature. According to the experimental results, an aging life prediction method for PE pipes was constructed based on the Arrhenius formula considering multiple effect factors.

Influence of vegetation phenological carryover effects on plant autumn phenology under climate change

Vegetation phenological carryover effects refer to the influence of previous phenological events on the current or subsequent ones. These effects can modulate the responses of autumn phenology to climate change, but the magnitude and duration of this effect remain poorly understood. Therefore, we employed multiple remote sensing datasets from 1982 to 2018 in the Northern Hemisphere (> 30°N) and partial correlation to investigate the influence of the carryover effect and environmental factors on the end of the growing season (EOS) over time. The importance of the variables in the projection score was used to quantify their relative importance. Our results showed that the previous year's EOS had a robust positive impact on the EOS for 40.02 % of the study area during 1982–2015, which was mainly located in the northern 50°N region. In contrast, the start of the growing season (SOS) was the main contributor to the EOS during 2001–2018, mainly at 40°N-50°N and in northern Russia. The carryover effect persisted into the subsequent year, but its strength and positive impacts varied dramatically in the next year. Concurrently, the mean correlation coefficient between climate factors and EOS rose from 0.20 to 0.22. Notably, the correlation coefficient for frost day frequency increased significantly (P < 0.05) from 0.15 to 0.36, with its influence area expanding from 10.29 % to 11.85 % of the study area. Compared with climate factors, the phenological carryover effect was the dominant driver of the EOS for each vegetation type, accounting for 72.8 % and 44.23 % of the total pixels during 1982–2015 and 2001–2018, respectively. Our study reveals a cascade of ecological consequences that extend beyond the initial occurrence and emphasizes the interconnectedness of growth stages in the plant life cycle, providing valuable insights into the adaptability and vulnerability of plant communities.

Anatomical research and clinical application of multistage advancement in dorsal finger V-Y flap.

To investigate the anatomical basis and clinical efficiency of the advancement distance in dorsal digital V-Y advancement flap. Thirty-four fingers in 11 fresh adult hand specimen were selected, V-Y flap was performed with the digital artery as vascular pedicle, and the advancement distance was measured. The relationship between the distance and extensibility of skin, sliding degree of subcutaneous superficial fascia, angular displacement of digital arterial dorsal branch, elasticity of digital artery was discussed. Two cases were provided to demonstrate the feasibility and importance of this flap. In the dorsal digital V-Y advancement flap simulated on fresh adult hand specimens, the mean advance distance of the middle segment flap and proximal segment flap is 18 ± 0.8 mm and 34 ± 1.7 mm, respectively, and the maximum can reach 24 and 45 mm, respectively. Two cases of dorsal digital V-Y advancement flaps were designed and performed in the dorsal side of the ring finger middle segment and the thumb proximal segment, respectively. The advancement distances were 25 and26mm, respectively. All flaps survived completely and the incisions healed by first intention. The flap texture wasgood, the affected finger was symmetrical, and the activity and sensation restored well. The dorsal digital V-Y advancement flap with the digital artery as the main vascular pedicle can exert four factors for advancement effect, and significantly increase the advancement distance. The operation is simple, the blood supply is reliable, and the postoperative sensation is normal. It is an ideal flap for repairing the digital dorsal defect.

Factors Related to Premenstrual Syndrome in Young Women at MTsN Labuhanbatu in 2024

Premenstrual syndrome (PMS) is a complex and poorly understood condition consisting of one or more of a number of physical and psychological symptoms that begin in the luteal phase of the menstrual cycle. World Health Organization (WHO) in 2020 PMS has a higher prevalence in Asian countries compared to western countries. The purpose of this study was to determine the factors associated with Premenstrual syndrome in adolescent girls at MTsN 1 Labuhanbatu in 2024. This research design uses an analytic survey, namely research trying to explore how and why the phenomenon occurs. Then analyze the dynamics of the correlation between phenomena, both between related factors (Indipendent) and effect factors (Dependent). The approach used in this research is cross sectional. The population in this study was 291 people. The sample in this study amounted to 74 people. Data analysis used univariate analysis and bivariate analysis using the chi-square test. The results of statistical tests with stress categories obtained using the chi-square test at a confidence level of 95% are known that psig 0.000 is smaller than 0.05, the results of chi-square tests with consumption patterns at a confidence level of 95% are known that psig 0.000 is smaller than 0.05, the results of statistical tests with premenstrual syndrome incidence obtained using the chi-square test at a confidence level of 95% are known that psig 0.000 is smaller than 0.05. In conclusion, it is known that there is a relationship between stress, consumption patterns and exercise with the incidence of premenstrual syndrome in adolescent girls at MTsN 1 Labuhanbatu in 2024. It is suggested that the results of this study can add insight, knowledge and experience about premenstrual syndrome that can occur at any time.

A permeability model considering the dynamic effect of stress on gas adsorption under discontinuous compression.

With the continuous advance of coal mining, the normal stress in front of coal seams will continue to increase, resulting in changes of internal structure and permeability of coal seams. During the continuous advance of mining face, the increase of vertical stress somewhere in front of coal seams may not be a transient process, but a gradual change process. Therefore, this paper carried out the seepage test of gas-containing coal under discontinuous loading axial stress. The stress, deformation and permeability of coal specimens were measured and recorded during the test, and the influence of discontinuous loading axial stress on the deformation, internal structure and seepage properties of coal specimens were discussed. On this basis, considering the influence of stress on the gas adsorption state, Klinkenberg effect and other factors, combined with Shi-Durucan permeability model, a new permeability model considering the dynamic adsorption state of coal specimens was developed.

Research on the Network Communication Strategy of New Energy Vehicle Brand in Xi an China -- Taking NIO as an Example

With the increasing global attention to sustainable development and environmental protection, new energy vehicles have become the main direction of transformation and upgrading of the global automotive industry and green development. As one of the world s largest auto markets, China is also actively promoting the development of the new energy vehicle industry. This project will visit the sales points and service centers of NIO in Xi an market to understand the specific implementation of its network communication strategy. Therefore, this research intends to establish a perceived intention model to analyze the related factors of network communication effect in the light of Technology Acceptance Model (TAM). At the same time, the questionnaire survey method is adopted to collect data on the network communication strategy and consumer feedback of NIO, learn consumers feedback and satisfaction on the network communication strategy of new energy vehicles, provide key market insights, and better understand consumers demands and expectations.

What is the probability that higher versus lower quality of evidence represents true effects estimates?

The previous studies demonstrated that the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system, a leading method for evaluating the certainty (quality) of scientific evidence (CoE), cannot reliably differentiate between various levels of CoE when the objective is to accurately assess the magnitude of the treatment effect. An estimated effect size is a function of multiple factors, including the true underlying treatment effect, biases, and other nonlinear factors that affect the estimate in different directions. We postulate that non-weighted, simple linear tallying can provide more accurate estimates of the probability of a true estimate of treatment effects as a function of CoE. We reasoned that stable treatment effect estimates over time indicate truthfulness. We compared odds ratios (ORs) from meta-analyses (MAs) before and after updates, hypothesising that a ratio of odds ratios (ROR) equal to 1 will be more commonly observed in higher versus lower CoE. We used a subset of a previously analysed data set consisting of 82 Cochrane pairs of MAs in which CoE has not changed with the updated MA. If the linear model is valid, we would expect a decrease in the number of ROR = 1 cases as we move from high to moderate, low, and very low CoE. We found a linear relationship between the probability of a potentially 'true' estimate of treatment effects as a function of CoE (assuming a 10% ROR error margin) (R2 = 1; p = 0.001). The probability of potentially 'true' estimates decreases by 21% (95% CI: 18%-24%) for each drop in the rating of CoE. A linear relationship with a 5% ROR error margin was less clear, likely due to a smaller sample size. Still, higher CoE showed a significantly greater probability of 'true' effects (53%) compared to non-high (i.e., moderate, low, or very low) CoE (25%); p = 0.032. This study confirmed linear relationship between CoE and the probability of potentially 'true' estimates. We found that the probability of potentially "true" estimates decreases by about 20% for each drop in CoE (from about 80% for high to 55% for moderate to 35% to low and 15% to very low CoE).

Supply chain financing theory of the trade payables–performance link

The existing empirical literature provides conflicting explanations of the relationship between trade payables and financial performance, highlighting a gap in understanding the nuances of this relationship. This article proposes a novel theory based on empirical evidence that re-examines the trade payables–performance linkage and explores the role of supply chain finance (SCF) as a critical moderating variable. Using a comprehensive methodology that integrates face-to-face interviews, web scraping, desk research, and econometric modelling, we identify the previously overlooked but significant factor of the implicit cost effect. Overall, the results suggest that SCF significantly modifies the relationship between trade payables and performance, and that SCF buyers are more likely than non-SCF buyers to achieve positive financial outcomes from extending trade payable terms due to the implicit cost effect. This research resolves existing theoretical discrepancies and provides deep insights into the dynamics of trade payable terms and the role of SCF. In addition, the study offers significant practical implications by informing corporate decision makers about strategies to optimise a supply chain’s working capital efficiency in order to improve financial performance.

Non-smooth discrete element method analysis of channel width's effect on ice resistance in broken ice field

A numerical model based on NDEM is used to investigate the effect of channel width on broken-ice resistance in the channel. The model incorporates a limited impulse method to simulate the ice crushing failure. The accuracy of the numerical model is benchmarked against experimental data from model tests conducted on the Araon icebreaker at KRISO. The simulations successfully capture the characteristic effects of channel width on broken-ice resistance observed in the experiment. Beyond benchmarking of the numerical model, this study analyses the force chain characteristics in the broken ice field, revealing the crucial role of force chains in the resistance increase caused by channel width constraints. Building upon the established numerical model, further sensitivity analyses are conducted to investigate the correlation between channel width effect and other relevant factors such as ice concentration, ship velocity and ice thickness. Among these factors, it is found that ice concentration emerges as the predominant determinant of the critical channel width. The increase in ice resistance attributable to the channel width is exacerbated under the condition of thicker ice floes and lower ship velocity, where the occurrence of ice floe rotation is less frequent and the corresponding force chains are stronger and more stable.

Analysis of risk factors and construction of nomogram model for arthroscopic single-row rivet repair

BackgroundThe factors influencing the clinical outcome of arthroscopic rotator cuff repair are not fully understood.PurposeTo explore the factors related to the postoperative outcome of arthroscopic single-row rivet rotator cuff repair in patients with rotator cuff injury and to construct the related nomogram risk prediction model.Methods207 patients with rotator cuff injury who underwent arthroscopic single-row rivet rotator cuff repair were reviewed. The differences of preoperative and postoperative Visual Analogue Score (VAS) scores and University of California, Los Angeles (UCLA) scores were analyzed and compared. The postoperative UCLA score of 29 points was taken as the critical point, and the patients were divided into good recovery group and poor recovery group, and binary logstic regression analysis was performed. According to the results of multivariate logistic regression analysis, the correlation nomogram model was constructed, and the calibration chart was used, AUC, C-index. The accuracy, discrimination and clinical value of the prediction model were evaluated by decision curve analysis. Finally, internal validation is performed using self-random sampling.ResultsThe mean follow-up time was 29.92 ± 17.20 months. There were significant differences in VAS score and UCLA score between preoperative and final follow-up (p < 0.05); multivariate regression analysis showed: Combined frozen shoulder (OR = 3.890, 95% CI: 1.544 ∼ 9.800), massive rotator cuff tear (OR = 3.809, 95%CI: 1.218 ∼ 11.908), More rivets number (OR = 2.118, 95%CI: 1.386 ∼ 3.237), lower preoperative UCLA score (OR = 0.831, 95%CI: 0.704–0.981) were adverse factors for the postoperative effect of arthroscopic rotator cuff repair. Use these factors to build a nomogram. The nomogram showed good discriminant and predictive power, with AUC of 0.849 and C-index of 0.900 (95% CI: 0.845 ∼ 0.955), and the corrected C index was as high as 0.836 in internal validation. Decision curve analysis also showed that the nomogram could be used clinically when intervention was performed at a threshold of 2%∼91%.ConclusionCombined frozen shoulders, massive rotator cuff tears, and increased number of rivets during surgery were all factors associated with poor outcome after arthroscopic rotator cuff repair, while higher preoperative UCLA scores were factors associated with good outcome after arthroscopic rotator cuff repair. This study provides clinicians with a new and relatively accurate nomogram model.

Lamotrigine vs levetiracetam in female patients of childbearing age with juvenile absence epilepsy: A Bayesian reanalysis.

Women of childbearing age with juvenile absence epilepsy (JAE) face treatment challenges due to limited access to safe and effective anti-seizure medications (ASMs). In a previous study we compared the effectiveness of levetiracetam (LEV) and lamotrigine (LTG) in women with idiopathic generalized epilepsy (IGE), highlighting a superiority of LEV in juvenile myoclonic epilepsy. In this study, we specifically reanalyzed, through a Bayesian approach and by expanding the previously published cohort, the comparative effectiveness of these ASMs as initial monotherapy in JAE. We conducted a multicenter, retrospective, comparative effectiveness study on women of childbearing age diagnosed with JAE and prescribed LEV or LTG as the initial ASM. Inverse probability treatment weighting (IPTW) Bayesian Cox proportional hazard models were employed to evaluate treatment failure (TF) due to ineffectiveness and ASM retention. The patients' center of provenance and year of prescription were considered as random effect factors. Posterior probabilities and relative log-risk distribution were computed, and the distribution of posterior draws was analyzed to assess the evidence supporting LTG superiority over LEV. Of 123 patients, those treated with LTG (n = 67) demonstrated lower TF and higher ASM retention than those treated with LEV (n = 56), with the IPTW-weighted Bayesian Cox proportional hazards model showing a 99.2% posterior probability of LTG being superior on TF and a 99.5% probability on ASM retention. Additional analyses on ≥50% and ≥75% seizure reduction through IPTW-weighted Bayesian logistic regression largely confirmed these findings, whereas the two ASMs did not show evident differences in terms of seizure freedom. The two ASMs showed comparable safety profiles, with only a minority of patients discontinuing treatment due to side effects. Bayesian reanalysis supports LTG as first-line monotherapy for JAE in women of childbearing age, emphasizing the importance of individualized treatment strategies in women with IGE. This study underscores the value of Bayesian methods in refining clinical research and treatment decisions.

Numerical study of vehicle motion during water exit under combined lifting force and wave action

During the retrieval process of the deep-sea mining vehicle (DSMV), the stability of the retrieval system is strongly influenced by the interaction between the vehicle body and the surrounding seawater due to the vehicle's complex shape and wave motion. Naturally, the negative side effects of significant changes in the vehicle's attitude and the water exit position can only increase retrieval's challenge. To investigate the characteristic of the flow field of the DSMV, this study employs the computational fluid dynamics method based on the Reynolds-averaged Navier–Stokes equations integrating the volume-of-fluid multiphase flow model with a fifth-order Stokes-wave model to explore the attitude and displacement changes of the vehicle during the water exit process in the ocean wave environment. The results indicate that the wave phase and lifting force are the major effect factors in the DSMV's water exit process. An appropriate lifting force under a specific wave phase can effectively reduce attitude changes and positional drift of the DSMV during water exit, thereby enhancing recovery efficiency and stability.

Experimental study on influencing factors of CO2 huff and puff effect in the tight water-bearing reservoir

The presence of a water phase in tight oil reservoirs is inevitable. To investigate the effect and influencing factors of the CO2 huff and puff technique on enhancing oil recovery in water-bearing tight oil reservoirs, CO2–water–crude oil phase experiments were conducted. The results reveal that the solubility of CO2 and the expansion coefficient of crude oil decrease with increasing water content in the system. Furthermore, CO2 huff and puff experiments were performed to analyze the effects of the number of huff and puff cycles, soaking time, soaking pressure, water saturation, and permeability on the performance of CO2 huff and puff under saturated/unsaturated water conditions. The experimental findings indicate that the oil recovery increases logarithmically with the number of huff and puff cycles. Increasing soaking time and soaking pressure gradually enhances recovery until reaching optimal soaking time and pressure. However, further increasing soaking time and pressure beyond the optimal values has minimal effect on recovery. Compared to the cases under unsaturated water conditions, the optimal number of huff and puff cycles, soaking time, and pressure are higher under saturated water conditions. Additionally, the CO2 huff and puff effect deteriorates with increasing water saturation in low permeability reservoirs.

Fracture strength analysis of large-size and thin photovoltaic monocrystalline silicon wafers

Diamond wire slicing technology is the main method to manufacture the substrate of the monocrystalline silicon-based solar cells. With the development of technology, the size and thickness of monocrystalline silicon wafer are respectively getting larger and thinner, which cause an increase in silicon wafer fracture probability during wafer processing and post-processing. And the change of the sawing speed, saw wire diameter and abrasive size also affect the wafer’s surface characteristics, thereby affect its fracture strength. In this paper, monocrystalline silicon wafer with large size of 210 mm × 210 mm was taken as the research object, 4-point bending test was carried out on each series of silicon wafers. The load–displacement curves during bending test were collected, and the fracture stress values were calculated by finite element method. The characteristic fracture strength and Weibull modulus of each series of silicon wafers were obtained through the statistical analysis of the data using Weibull distribution function. The effect of the silicon wafer thickness, the position of the silicon wafer in the silicon brick (usage time of the saw wire varies), and the bending test direction on the fracture characteristics was analyzed. The results showed that the increase of thickness increase the characteristic fracture strength of silicon wafer. The characteristic fracture strength of the front wafers (sawn by the fresh wire) is the smallest, while the characteristic fracture strength of the middle wafers and the rear wafers (sawn by the worn wire) are similar. The characteristic fracture strength of bending in the direction of perpendicular to the saw marks is 2–3 times that of bending in the direction of parallel to the saw marks. The reason of the difference of characteristic fracture strength was analyzed based on the surface morphology, roughness, and the saw marks of silicon wafer. In this paper, the fracture characteristics of large size monocrystalline silicon wafer are studied to provide fracture data support for industry production. The mechanism and main effect factors of silicon wafer fracture are revealed, which provides directions for improving the sawing quality and reducing the fracture probability during wafer production process and post-processing.