bluuebunny/crossref_metadata_2025_split huggingface dataset:
The moderating effect of corporate governance on readability of the chairman's statement: an analysis of Jordanian listed companies
Authors: Gutiérrez Ponce Herenia , Chamizo González Julián , Al-Mohareb Manar 
Published: April 2024

AbstractDue to the novelty of corporate governance rules in emerging economies, which could impact management policies and readability of the statement by the chairman of the Board of Directors, academics and companies have analyzed the moderating role of corporate governance in many regional development issues. This study investigates the moderating role of corporate governance in readability of the chairman's statement and firm performance. It also investigates whether the board’s characteristics directly affect chairman's statement readability, as the board’s characteristics were determined to be independence, ownership concentration, and board's accounting expertise, based on Jordan’s Corporate Governance Code (2017). This study uses multiple linear regression analysis to analyze moderation and cause-and-effect relationships between study variables for Jordanian service and manufacturing companies listed on the Amman Stock Exchange, examining 69 companies from 2017 to 2021. The results indicate that corporate governance significantly moderates readability of the chairman's statement and the firm’s performance. They also indicate a statistical relationship between readability of the chairman's statement and characteristics of the board, such as directors’ accounting expertise, independence, and concentration of the board’s ownership. This study has significant implications for stakeholders, including governance policy-makers.
Foster Care Leads to Lower Irritability Among Adolescents with a History of Early Psychosocial Deprivation
Authors: Niu Yanbin , Buzzell George A. , Cosmoiu Ana , Fox Nathan A. , Nelson Charles A. , Zeanah Charles H. , Humphreys Kathryn L. 
Published: April 2024

AbstractIrritability reflects a propensity for frustration and anger, and is a transdiagnostic symptom of both externalizing and internalizing psychopathology. While early adverse experiences are associated with higher levels of irritability, experiences of early psychosocial deprivation and whether family-based placements can mitigate the impact on subsequent irritability, remain underexplored. The current study examined irritability in 107 16-year-olds with a history of institutional care from a randomized controlled trial of foster care as an alternative to institutional care and 49 community comparison children. At age 16 years, irritability was assessed using parent- and self-report forms of the Affective Reactivity Index. Compared to community adolescents, those with a history of institutional care exhibited significantly elevated irritability levels. Among those who experienced institutional care, those randomized to foster care had lower levels of irritability compared to participants randomized to the care-as-usual group, and this effect persists after controlling for baseline negative emotionality. These findings suggest a causal link between high-quality foster care and lower irritability following psychosocial deprivation. Additionally, longer duration in institutional care and non-family placement at age 16 years were associated with higher levels of irritability, highlighting the role of caregiving in explaining variation in irritability in adolescence. Policies that support long-term, high-quality family placements for children without regular caregivers should be prioritized.
Lawful, but not Really: The Dual Character of the Concept of Law
Authors: Flanagan Brian , de Almeida Guilherme 
Published: April 2024

AbstractDisagreement on law’s relationship to morality has long been driven by disagreement about our ordinary concept. Until recently, however, there had been no systematic investigation of lay intuitions. In this paper, we advance this nascent effort. Across two studies (N = 697), our findings reveal that most people consider law to be more than a matter of political circumstance alone. Contrary to the expectations of most contemporary philosophers, morality (both substantive and procedural) emerges as a key influence on judgments of legal validity: many people say that conduct prohibited by immoral statutes is not truly illegal, and that immoral conduct which was never explicitly prohibited is truly illegal. This suggests that people often treat law as a dual character concept that, like the concepts of scientist or of artist, features autonomous concrete and abstract dimensions.
Testimonial justification under epistemic conflict of interest
Authors: Colo Philippe 
Published: April 2024

AbstractCan a hearer be rationally justified to have beliefs based on testimony alone when the source of his information is known to have conflicting epistemic goals? When it comes to belief justification, existing theories either recommend avoiding epistemic conflicts of interest or ignoring them. This is an important epistemological limitation. A theory that comes in degrees, capable of explaining what beliefs we are justified to hold and why, despite epistemic conflict of interest, is still lacking. Building on a game-theoretical approach, I suggest such a theory and argue that the hearer can justify some beliefs on testimony alone. This justification relies on an equilibrium concept, which is only reached in the long run. In addition, the hearer’s justified beliefs will always be less accurate than those held by the original source. For instance, assume the speaker is a climate scientist who has good reasons to believe that a 2$$^{\circ }$$

∘

C increase in temperature will lower the current global GDP by 10 percentage points. Under epistemic conflict of interest, a hearer will typically be justified to a belief close to that value, but not equal to it. The smaller the epistemic conflict of interest, the closer, on average, the hearer’s and speaker’s belief. These results highlight the importance of scientific norms which, in practice, are the embodiment of these equilibrium mechanisms and thus of scientific credibility.
Adsorption of Oil from Industrial Wastewater with Eucalyptus globulus Labill. Bark: Optimization Study
Authors: Aboulsoud Yasmin I. E. 
Published: April 2024

AbstractOily wastewater is one of the most hazardous contaminants that can hurt the ecosystem. There is an urgent need to adopt an efficient, eco-friendly, and low-cost material to replace the old traditional treatment methods of oily wastewater that were very expensive in addition to their relatively low efficiency. Eucalyptus bark is considered one of the materials that are rarely used in this field, although it has the characteristics that qualify it to be a distinguished and promising one. The optimum conditions of using Eucalyptus globulus Labill. (Blue gum) bark in the removal of oil from prepared aqueous solutions were concluded before applying in the treatment of real oily industrial wastewater from New Borg El-Arab City, Egypt. The sequential optimization adsorption results were as follows: initial oil concentration, 500 mg/l; adsorbent dosage, 0.5 g/l; pH, 3; exposure time, 45 min; temperature, 20 °C; and shaking rate, 300 rpm. The pretreatment of biomass with H3PO4 proved it to be superior in the oil removal process where the efficacy reached 450.69 mg/g, while the unmodified form came second where the adsorption efficacy reached 395.86 mg/g, after that the NaOH-modified form came third by efficacy reached 315.85 mg/g. The results of SEM elucidated this order of efficacy according to the porosity of the bark surface. FTIR analysis indicated that OH, carboxylic C = O, and carboxylic C-O groups are the contributing groups in the oil adsorption process for the three forms of Eucalyptus bark. The reusability of Eucalyptus bark using n-hexane for one cycle reached 96.34, 97.13, and 95.83% for unmodified, H-modified, and OH-modified forms, respectively, and for five cycles reached 56.29, 58.01, and 55.81% for unmodified, H-modified, and OH-modified forms, respectively. The application of Eucalyptus bark in the H-form in the treatment of real oily wastewater was achieved by efficacy ranging between 91.46 and 96.23% which proves the excellence of Eucalyptus bark in the treatment of oily wastewater.
Upper extremity contact pressure measurement in robot-assisted pelvic surgery
Authors: Kimura Naoki , Yamada Yuta , Hakozaki Yuji , Kaneko Jun , Kamei Jun , Taguchi Satoru , Akiyama Yoshiyuki , Yamada Daisuke , Fujimura Tetsuya , Kume Haruki 
Published: April 2024

AbstractUpper extremity complications are often a problem in robot-assisted pelvic surgery (RAPS) with the lithotomy-Trendelenburg position (LT-position). This study focused on upper extremity contact pressure (UEP) and examined the relationship between UEP and upper extremity complications. From May 2020 to April 2022 at the University of Tokyo Hospital, UEP was measured in 155 patients undergoing RARP and 20 patients undergoing RARC. A total of 350 sets of UEP were investigated in this study. UEP was measured using a portable interface pressure sensor (Palm Q, Cape CO., Kanagawa, Japan) in the preoperative lithotripsy position (L-position), preoperative LT-position, and postoperative L-position. UEP was increased in the preoperative LT-position than in the preoperative L-position (right side 5.2 mmHg vs. 17.1 mmHg, left side 5.3 mmHg vs. 17.1 mmHg, P < 0.001, respectively), and was decreased in the postoperative L-position than in preoperative LT-position (right side 17.1 mmHg vs. 10.8 mmHg, left side 17.1 mmHg vs. 10.6 mmHg, P < 0.001, respectively). Eleven upper extremities developed shoulder pain. UEP of the preoperative LT-position tended to be higher in the upper extremity exhibiting shoulder pain (25.6 mmHg (15.4–30.3) vs. 17.1 mmHg (12.0–24.4) P = 0.0901). UEP measurements may help prevent postoperative shoulder pain.
Strongly convergent inertial projection and contraction methods for split variational inequality problem
Authors: Mewomo O. T. , Ogwo G. N. , Alakoya T. O. , Izuchukwu C. 
Published: April 2024

AbstractIn the literature, several methods have been proposed for solving the split variational inequality problems and most of these methods require that the underlying operators are co-coercive while some of them require that the problem is transformed into a product space. These restrictive conditions affect the feasibility of these existing methods. In order to overcome these setbacks, we propose two new inertial projection and contraction methods for solving the split variational inequality problem in real Hilbert spaces without the co-coercive condition and without the product space formulation, which does not fully exploit the attractive splitting structure of the split variational inequality problem. The sequences generated by these methods converge strongly to the solution of the split varitional inequality problems in real Hilbert spaces under the assumptions that the operators are pseudomonotone, Lipschitz continuous and without the sequentially weakly continuity condition. Furthermore, we present several numerical experiments for the proposed methods and compare their performance with other related methods in the literature.
HBO regulates the Warburg effect of hypoxic HCC cells through miR-103a-3p/TRIM35
Authors: Ding Yuting , Luan Wenkang , Wang Zhe , Xie Bo , Sun Chengfa 
Published: April 2024

Abstract
Background
There are a lot of studies on the treatment of tumors with hyperbaric oxygen, while most of them are in breast cancer, prostate cancer and so on. However, there are still few studies on hyperbaric oxygen in treating hepatocellular carcinoma (HCC). According to the current data, hyperbaric oxygen is an effective means to intervene in tumors. The Warburg effect is a unique marker of glucose metabolism in tumors related to hypoxia, making it possible for hyperbaric oxygen to interfere with the tumor through the Warburg effect.

Method
We used the hypoxia/hyperbaric oxygen(HBO)-exposed HCC cells for in vitro studies. Glucose uptake, lactic acid, and adenosine triphosphate (ATP) assessed the Warburg effect. The expression of miR-103a-3p in HCC was detected by using qRT-PCR. The effect of miR-103a-3p/TRIM35 expression level on the cells was measured using the CCK8 method and flow cytometry. The molecular biological mechanism of miR-103a-3p in HCC was examined using the luciferase reporter, MS2-RIP assays.

Result
HBO inhibited the Warburg effect in hypoxic HCC cells. HBO suppressed the expression of miR-103a-3p in hypoxic HCC cells, and miR-103a-3p inhibited the expression of TRIM35 in hypoxic HCC cells. With HBO exposure, miR-103a-3p/TRIM35 regulated the Warburg effect of hypoxic HCC cells.

Conclusion
These findings reveal that HBO regulates the Warburg effect of hypoxic HCC cells through miR-103a-3p/TRIM35 and inhibits tumor growth.
Experimental study on an eco-friendly gemini foaming agent for enhancing foam drilling applications
Authors: Gowida Ahmed , Elkatatny Salaheldin , Kamal Muhammad Shahzad , Hussain Sayed Muhammad Shakil 
Published: April 2024

AbstractUnderbalanced foam drilling (UBFD) represents a pivotal technique aimed at enhancing safety and operational efficiency within drilling operations. Despite its recognized benefits, the challenge of maintaining foam stability persists, particularly in conditions characterized by elevated water salinity and alkalinity. This study endeavors to bridge this gap by introducing the eco-friendly Gemini surfactant (GS12) for drilling foams and evaluating its performance under mildly alkaline conditions. Employing a dynamic foam analyzer, diverse foam properties of GS12 foams were systematically assessed, including stability, foamability, and bubble structure. Results elucidate that the optimal surfactant concentration for maximal foam stability stands at 1.5 wt%; however, a threefold concentration increase (from 0.5 to 1.5 wt%) merely yields a 30% improvement, emphasizing the economic viability of a 0.5 wt% concentration for practical UB applications. Additionally, the study demonstrates a correlation between foam stability and water salinity, with seawater exhibiting a twofold reduction in foam half-life compared to deionized water (decreasing from 27 to 13 min), mitigated by the addition of PAC polymer, which increases foam half-life from 13 to 56 min. Moreover, GS12 + PAC foaming systems exhibit surpassing stability compared to a typical commercial blend, boasting a 78% increase in foam half-life (245 min) and a 21% increase in initial foam volume (245 mL), thereby positioning it as a promising candidate for UB drilling applications. The introduction of GS12 for UB drilling and its comprehensive evaluation under mildly alkaline conditions underscore its potential for sustainable foam drilling, advocating for the utilization of environmentally friendly surfactants and green polymers to enhance drilling sustainability and address pressing industry challenges.
Development of a novel packer fluid for high-temperature and high-pressure oil and gas wells with using design of experiments and artificial intelligence
Authors: Mahdavi Kalatehno Javad , Khamehchi Ehsan 
Published: April 2024

AbstractThis study introduces a novel phosphate-based packer fluid, designed for use in high-temperature and high-pressure oil and gas wells. The research aims to evaluate the performance of this innovative fluid in comparison with traditional acetate and formate-based fluids. The study highlights the enhanced performance metrics of the phosphate-based fluid, which include a higher density of 114 pcf, moderated pH levels from 13.5 to 10, and a significantly reduced corrosion rate to below 4 mpy, achieved through the addition of diammonium phosphate and potassium vanadate. Moreover, the research presents two machine learning models (an artificial neural network (ANN) and genetic programming (GP)) developed to predict the penetration depth of the phosphate-based fluid. Both models demonstrate high accuracy, with R-square values of 0.9468 and 0.9140, respectively, with the ANN model exhibiting slightly superior performance. The findings of the study indicate that the phosphate-based fluid, free of solubilizers and enhanced with innovative corrosion inhibitors, provides optimal thermal stability, minimal formation damage, and shallow penetration depth, thus representing a significant advancement in well completion technologies. The fluid’s distinctive properties and the predictive models’ high accuracy highlight its suitability for challenging environments, marking a notable progression in well completion technologies.
Expropriated Minds: On Some Practical Problems of Generative AI, Beyond Our Cognitive Illusions
Authors: Paglieri Fabio 
Published: April 2024

AbstractThis paper discusses some societal implications of the most recent and publicly discussed application of advanced machine learning techniques: generative AI models, such as ChatGPT (text generation) and DALL-E (text-to-image generation). The aim is to shift attention away from conceptual disputes, e.g. regarding their level of intelligence and similarities/differences with human performance, to focus instead on practical problems, pertaining the impact that these technologies might have (and already have) on human societies. After a preliminary clarification of how generative AI works (Sect. 1), the paper discusses what kind of transparency ought to be required for such technologies and for the business model behind their commercial exploitation (Sect. 2), what is the role of user-generated data in determining their performance and how it should inform the redistribution of the resulting benefits (Sect. 3), the best way of integrating generative AI systems in the creative job market and how to properly negotiate their role in it (Sect. 4), and what kind of “cognitive extension” offered by these technologies we ought to embrace, and what type we should instead resist and monitor (Sect. 5). The last part of the paper summarizes the main conclusions of this analysis, also marking its distance from other, more apocalyptic approaches to the dangers of AI for human society.
Analysis of the population density trend of the finless porpoise based on smart IoT technologies
Authors: Wang Jiaqi 
Published: April 2024

AbstractWith the rapid expansion of human activities, natural environmental systems are under severe threat. Yangtze River, the largest river in China, contains abundant biological resources. However, the ecosystem of the Yangtze River has been threatened by the rapid rise of human activities due to economic development in the 1990s. The Yangtze finless porpoise Neophocaena phocaenoides asiaeorientalis is a critically endangered flagship species in the Yangtze River. Although scientists have conducted surveys studying the abundance of Yangtze finless porpoise, the length of the investigation period of these studies was restricted. Here, we reported our meta-analysis results by collecting data on the abundance of the Yangtze finless porpoise population from published papers over 33 years. We found that the pooled effect size using the random effect model across all these studies was – 0.36 (95% confident interval (CI) – 0.48,– 0.24, P < 0.05), indicating that the porpoise population has undergone a declining pattern after the year 2003. The operation of the Three Gorges Dam was one important but not the only factor resulting in the decline of the porpoise population. More actions should be taken for porpoise and habitat protection and more studies should be done to assess the impact of dams on the porpoise population in Poyang Lake. Only in this way can marine life be better protected, and the marine environment can better achieve sustainable development.
Clip-GCN: an adaptive detection model for multimodal emergent fake news domains
Authors: Zhou Yufeng , Pang Aiping , Yu Guang 
Published: April 2024

AbstractEmergent news is characterized by few labels, and news detection methods that rely on a large number of labels are difficult to apply to learned features for emerging events and are ineffective in coping with less labeled emergent news detection. To address the challenge of limited labeled data, this study first establishes a scenario for detecting breaking news, ensuring that the domain of detecting events is distinct from the domain of historical events. Secondly, we propose the Clip-GCN multimodal fake news detection model. The model utilizes the Clip pre-training model to perform joint semantic feature extraction of image-text information, with text information as the supervisory signal, which solves the problem of semantic interaction between modalities. Meanwhile, considering the domain attributes of news, the model is trained to extract inter-domain invariant features through Adversarial Neural Network ideation, and intra-domain knowledge information is utilized through graph convolutional networks (GCN) to detect emergent news. Through an extensive number of experiments on Chinese and English datasets from two major social media platforms, Weibo and Twitter, it is demonstrated that the model proposed in this paper can accurately screen multimodal emergent news on social media with an average accuracy of 88.7%. The contribution of this study lies not only in the improvement of model performance but also in the proposal of a solution for the challenges posed by limited labels and multimodal breaking news. This provides robust support for research in related fields.
A novel similarity algorithm for triangular cloud models based on exponential closeness and cloud drop variance
Authors: Yang Jianjun , Han Jiahao , Wan Qilin , Xing Shanshan , Shi Hongbo 
Published: April 2024

AbstractCloud model similarity algorithm is an important part of cloud modelling theory. Most of the existing cloud model similarity algorithms suffer from poor discriminability, poor classification, unstable results, and low time efficiency. In this paper, a new similarity algorithm is proposed that considers the triangular cloud model distance and shape. First, according to the $${{D}}_{\text{T}}$$

D
T

distance formula, a new exponential closeness measure is defined, with which the distance similarity of cloud models is characterized. Then, the shape similarity is calculated according to the variance of the cloud model cloud drops. Finally, the two similarities are synthesized to define a similarity algorithm for determining the distance from the $${{D}}_{\text{T}}$$

D
T

distance formula and shape based on the triangular cloud model (DDTSTCM). In this paper, discriminability, stability, efficiency and theoretical interpretability are taken as the evaluation indices. Equipment security system capability evaluation experiment, cloud model differentiation simulation experiment and time series classification accuracy experiment are set up to verify the effectiveness of the algorithm in terms of the four above aspects. The experimental results show that DDTSTCM has good differentiation and excellent classification effects. In the classification experiment for the time series, the average classification accuracy of DDTSTCM reaches 91.78%, which is at least 2.78% higher than those of the other seven commonly used algorithms. The CPU running efficiency of DDTSTCM is also extremely high, and the average CPU running time of group training is always on the order of milliseconds, which effectively reduces the time cost. Finally, a case study is conducted to analyse a risk assessment problem for China’s island microgrid industry, and the evaluation results based on DDTSTCM are in line with human cognition and have good value for engineering applications.
Graphical abstract