Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of ESG Disclosure on Firm Value: An Empirical Evidence from Chinese Listed Companies

The purpose of this paper is to investigate the effect of environmental, social, and governance (ESG) disclosure on the firm value of Chinese listed companies. The sample consists of 6,575 firm-year observations from the years 2011 to 2021, representing 1,024 firms listed in China. Using a large panel dataset, this study reveals a positive effect of ESG disclosure on firm value (Tobin's Q), while no significant effect is observed on firm value (ROE). It highlights the need for companies to embrace ESG trends, incorporate ESG concepts into strategic decision-making, practice sustainable development, and prioritize stakeholder interests, ultimately contributing to China's pursuit of high-quality and high-speed economic development. This paper makes two significant contributions to the ESG literature: firstly, it provides a detailed explanation of the relationship between ESG disclosure and firm value using agency theory and stakeholder theory, and secondly, it offers essential implications for the government to establish a more comprehensive ESG information disclosure system and implement standardized reporting guidelines.
The Effect of Green Innovation on Firm Value: The Moderating Role of Internal Control

Green innovation encourages the growth of eco-environmental protection, low-carbon transformation, and other related fields, thereby fostering a healthy increase in firm value. Thus, this study examines the effect of green innovation on firm value of Chinese listed companies. In addition, it attempts to examine the moderating effect of internal control on the relationship. A total of 3,583 observations of China's A-share listed companies from year 2012 to 2021 serve as the research sample for the establishment of panel data. Using Ordinary Least Squares and Fixed Effects regression, findings show that green innovation has a positive but non-significant contributing effect on firm value. However, the presence of internal control has served a positive moderating effect on the relationship between green innovation and firm value. This study expands the research in the field of green innovation and firm value and provides new ideas and inspirations for enterprises to promote firm value through improving green innovation.
Colibri. Les bases scientifiques d'un modèle de prévision des populations du Puceron des épis Sitobion avenae

Le logiciel Colibri contient quatre sous-modeles en interaction : Developpement phenologique du ble, Dynamique de la population de pucerons, Action de l'insecticide et Evaluation des pertes de rendements causees par les pucerons. Enfin, la determination des strategies de traitements optimales est realisee par une procedure d'optimisation (Figure 1). La conception scientifique repose sur pres de 25 annees d'experimentations et d'observations au laboratoire et en plein champ sur les pucerons des cereales (1) , realisees par les laboratoires de Zoologie de l'INRA, de l'ENSA de Rennes, et par le Service developpement de la societe AgrEvo et avec la participation des services techniques d'une quinzaine de distributeurs.
Constructing Brand Personality from the TripAdvisor Online Reviews

A bstract: The research focuses on utilizing the unstructured dataset and the exploratory factor analysis to construct the brand personality of a sample hotel in Bali. Online reviews delivered by the consumers in TripAdvisor were collected within the 2019 – 2021 period of observation, further data cleaning was conducted. The results show that there are four dimensions, and there are missing competence dimensions within the dataset. This is a unique finding because the five dimensions usually exist in the hotel dataset in some other studies using the same method. There are five dimensions of brand personality, namely sincerity, sophistication, excitement, ruggedness, competence. Moreover, sincerity dominates within the dataset.
Slope Stability Classiﬁcation under Seismic Conditions Using Several Tree-Based Intelligent Techniques

: Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms for slope failures, and design slopes with optimal safety and reliability. Before the widespread usage of computers, slope stability analysis was conducted through semi analytical methods, or stability charts. Presently, engineers have developed many computational tools to perform slope stability analysis more efﬁciently. The challenge associated with furthering slope stability methods is to create a reliable design solution to perform reliable estimations involving a number of geometric and mechanical variables. The objective of this study was to investigate the application of tree-based models, including decision tree (DT), random forest (RF), and AdaBoost, in slope stability classiﬁcation under seismic loading conditions. The input variables used in the modelling were slope height, slope inclination, cohesion, friction angle, and peak ground acceleration to classify safe slopes and unsafe slopes. The training data for the developed computational intelligence models resulted from a series of slope stability analyses performed using a standard geotechnical engineering software commonly used in geotechnical engineering practice. Upon construction of the tree-based models, the model assessment was performed through the use and calculation of accuracy, F1-score, recall, and precision indices. All tree-based models could efﬁciently classify the slope stability status, with the AdaBoost model providing the highest performance for the classiﬁcation of slope stability for both model development and model assessment parts. The proposed AdaBoost model can be used as a screening tool during the stage of feasibility studies of related infrastructure projects, to classify slopes according to their expected status of stability under seismic loading conditions.
Creativity in the education of teachers who teach mathematics: a case study

This investigation is part of a research project on the development of mathematical reasoning through problem solving and posing tasks from the perspective of the Exploratory Problem Solving Model and presents the results of an experiment carried out in the teachers preparation who teach mathematics. The study is qualitative and interpretative with an empirical basis, supported by design-based research. The main objective is to implement problem-solving instructional tasks in the formation of teachers who teach mathematics in order to build up a knowledge base on problem-solving and creativity. The freedom allowed to teachers and future teachers, both in the development of mathematical reasoning and in mathematical communication, seems to have an influence on the promotion of personal, innovative and creative mathematical solving.
International Journal of Advance Research in Nursing

Background: Many health care organizations have placed talent management on their agendas because they believe it is essential to achieving organizational excellence and increasing employee satisfaction in order to meet organizational goals. Aim of this research: To assess first line nursing managers’ perception about talent management. Research design: A descriptive correlational design was utilized in the current research. Setting: This research conducted at Main Assiut University Hospital. Sample: Convenience sample of first line nursing managers who worked at the Main Assiut University Hospital during the time of data gathering with total number (80) first line nursing managers. Tools of data collection: Two tools, the first tool was talent management knowledge questionnaire as well as the second tool was talent management practice questionnaire. Results: this research illustrated that above fifty percent of first line nursing managers' knowledge as well as practice within the moderate level as well as higher thirty-three percent of them had high level of knowledge as well as practice of talent management. Conclusion: there was positive correlation between first line nursing managers' knowledge and their practice about talent management. Recommendations: Provide talent management workshops and educational programs for nursing managers and supervisors.
MORPHOLOGICAL VARIATIONS AND CLINICAL IMPLICATIONS OF THE INFERIOR ALVEOLAR ARTERY

The inferior alveolar artery (IAA), a collateral branch of the maxillary artery, is mainly responsible for the vascularization of the mandibular tooth-gum-alveolar bone units. In its course from the infratemporal region to the body of the mandible, the IAA may exhibit variations in both origin and trajectory. This study analyses the anatomical variations of the IAA and describes potential clinical complications following different surgical procedures in the mandible. A comprehensive literature review across Clarivate Analytics/Thomson Web of Knowledge and PubMed databases was conducted. The following keywords were used: inferior alveolar artery, anatomical variations, posterior mandible, clinical consequences. Data from similar previous personal research were also added to the findings. The results of this study suggest that the posterior mandible remains the major risk area for damage to the IAA.
Review of Competitive Advantage within Restaurants

This study reviews the concept of competitive advantage, with a specific focus on the competitive advantage within the restaurant industry. While definitions of competitive advantage vary across different industries and its constituents differ based on contexts, there exists a fundamental consensus within the same industry. By employing four strategic theories for analysis, this study examines different forms of competitive advantage and categorizes them according to industry-specific characteristics. Finally, a comprehensive review of competitive advantage in the restaurant sector is conducted, followed by a discussion of the study's limitations and potential directions for future research
the Scholarship of International

Abstract Standards-based grading is an alternative grading system that gives students multiple opportunities to demon-strate proficiency in course standards or objectives. It has the potential to provide flexibility and reduce student anxiety, which are particularly important during difficult times such as the COVID-19 pandemic. In this study, stu-dents in a Precalculus course using standards-based grading between Spring 2021 and Spring 2022 were surveyed about how the pandemic had affected their learning and the benefits and challenges of standards-based grading. The students who took the course in Spring 2021, whose previous learning was least affected by the pandemic, were most likely to find standards-based grading beneficial. However, in all three semesters, students on average reported that compared with exams in previous math courses, assessments in the standards-based graded course were lower stakes and would better help them understand the material and to know what to study.
Credit Crises, Precautionary Savings, and the Liquidity Trap

We study the effects of a credit crunch on consumer spending in a heterogeneous-agent incomplete-market model. After an unexpected permanent tightening in consumers' borrowing capacity, some consumers are forced to deleverage and others increase their precautionary savings. This depresses interest rates, especially in the short run, and generates an output drop, even with flexible prices. The output drop is larger with nominal rigidities, if the zero lower bound prevents the interest rate from adjusting downwards. Adding durable goods to the model, households take larger debt positions and the output response may be larger.
Geomagnetic storms and EMIC waves: Van Allen Probe observations

Utilizing the data from magnetometer instrument of Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) suite on board Van Allen Probe A, the occurrences of electromagnetic ion cyclotron (EMIC) waves during geomagnetic storms and nonstorm periods are investigated. The 270 EMIC wave events and 76 geomagnetic storms were identified during the period under research, from 8 September 2012 to 30 April 2014, when the apogee of Van Allen Probe A covered all the magnetic local time (MLT) sectors. Fifty of the 76 storms observed 124 EMIC wave events, of which 80 are found in the recovery phase, more than those observed in the main phase. Majority EMIC wave events (~54%) were observed during the nonstorm periods. Occurrence rates of EMIC waves as a function of L and MLT during different geomagnetic conditions are also examined, whose peaks in main phase are higher than those in recovery phase. However, occurrences of EMIC waves in recovery phase distribute more uniformly than those do in main phase. Evolution of the distribution characteristics of EMIC waves respect to L and MLT in different geomagnetic phases is investigated, consistent with that of the plasmasphere during geomagnetic storms, implying that the cold and dense plasma in the plasmasphere or plasmaspheric plume play a significant role in the generation of EMIC waves in the inner magnetosphere. Few EMIC waves in the dayside sector during the preonset periods are observed, suggesting that the effect of solar wind dynamic pressure on the generation of EMIC waves in the inner magnetosphere in those periods is not so significant as expected.
Chronic Hepatitis C Cascade of Care in Prisoners—Is There Still Some Work to Do? Analysis of Two Large Penitentiaries in Northern Italy

Penitentiaries have a higher burden of communicable diseases compared to the general population. Prisoners should be tested for hepatitis C virus (HCV) and have direct access to treatment. We analysed the HCV cascade of care in two penitentiaries in Brescia, Northern Italy. At admission, prisoners are offered a voluntary screening for HCV, while patients with known infections are tested with an HCVRNA measurement. We performed an observational retrospective study including all the subjects admitted to the penitentiaries from 1 January 2015 to 31 October 2021. We conducted a descriptive analysis. During the study period, 5378 admissions were registered, and 2932 (54.5%) screenings were performed. Hepatitis C virus antibody positivity was found in 269 tests (9.2%). Hepatitis C virus RNA was detectable in 169 people. During the study period, 77 treatments with direct-acting antivirals (DAAs) were administered. Follow-up was available in 45 patients, and sustained virological response (SVR) was documented in 44 of them. Retention in care occurred in less than half of the prisoners after release. Our data demonstrate poor screening adherence that could benefit from educational programs. Treatment rates could be improved with test-and-treat programs. More efforts are needed to eliminate HCV as a public threat by 2030. Dedicated local networks, including infectious diseases (ID) departments, substance abuse services and prisons, could mitigate these issues.
Ordinary Cokriging of Additive Log-Ratios for Estimating Grades in Iron Ore Deposits

Risk assessment and economic evaluation of mining projects are mainly affected by the determination of grades and tonnages. In the case of iron ore, multiple variables must be determined for ore characterization which estimation must satisfy the original mass balances and stoichiometry among granulometric fractions and chemical species. Models of these deposits are generally built from estimates obtained using ordinary kriging or cokriging, most time using solely the global grades and determining the ones present at different granulometric partitions by regression. Alternative approaches include determining the totality of the chemical species and distributing the closing error or leaving one variable aside and determining it by difference afterwards, adding up the error of previous determinations. Furthermore, the estimates obtained are outside the interval of the original variables or even exhibiting negative values. These inconsistencies are generally overridden by post-processing the estimates to satisfy the closed sum condition and positiveness. In this paper, cokriging of additive log-ratios (alr) is implemented to determine global grades of iron, silica, alumina, phosphorous, manganese and loss by ignition and masses of three different granulometric partitions, providing better results than the ones obtained through cokriging of the original variables, with all the estimates within the original data values interval and satisfying the considered mass balances
Estudios aplicados a la conservación de la alondra ricotí (Chersophilus duponti) en España central

We describe the song type repertoire variation and degree of song sharing in three isolated and declining Dupont’s Lark (Chersophilus duponti) populations located close to each other in eastern Spain, studied over two years. We found no differences between sites either in song rate or individual repertoire size. We detected great differences in song type diversity at the population level, ranging from five to 18 song types. We used, for the first time, the SIMPROF test, a method that objectively discriminates significant groups resulting from agglomerative clustering methods, to study geographic variation in bird song. We found four microdialects in the study area with a low degree of song sharing among populations, which may be related to the influence of habitat fragmentation and the song learning process and ecology of the species. We detected different patterns of song sharing among sites. All males of two populations shared about 80–100 % of their song types throughout the habitat patch. At the other site, we found two microdialects within the same habitat patch, where song types were only shared among neighbouring males. The high degree of song sharing found can be explained by the reduced dispersal movements of the species. We also detected a high consistency in the song types between years. The creation of corridors and habitat management in potential habitat patches surrounding Dupont’s Lark populations could act as stepping-stones, improving the connection between populations and thereby song transmission between patches.
Hand massage therapy against anxiety in surgical patients

Anxiety in the preoperative stage reaches 534 million people, with an incidence rate of 5-25% among those aged 5-20 years and 50% among those aged 55 years and over, causing an increase in blood pressure that hinders rehabilitation efforts. One technique to reduce anxiety during surgery is hand massage. This research aims to understand better the effect of hand massage therapy on preoperative pain at RSI Ibnu Sina Padang in 2022. This research is experimental, using a pre - post-test design with 32 samples divided equally between intervention and control groups. The research was conducted for a full week at RSI Ibnu Sina Padang, Multazam Surgical Inpatient. Information was collected using the Hamilton Anxiety Rating Scale (HARS) and analyzed with the help of the Wilcoxon and Mann-Whitney tests. Research based on the Wilcoxon test showed a difference in the severity of symptoms between the groups participating in the experiment before and after the application of hand massage therapy (p 0.0001 for both comparisons). The results of the Mann - Whitney U test showed that hand massage could reduce the level of pain experienced by surgical patients at RSI Ibnu Sina Padang (p = 0.0001).
Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image

Optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiple scattered photons owing to its low-coherence interferometry property. Although various deep learning schemes have been proposed for OCT despeckling, they typically suffer from the requirement for ground-truth images, which are difficult to collect in clinical practice. To alleviate the influences of speckles without requiring ground-truth images, this paper presents a self-supervised deep learning scheme, namely, Self2Self strategy (S2Snet), for OCT despeckling using a single noisy image. Specifically, in this study, the main deep learning architecture is the Self2Self network, with its partial convolution being updated with a gated convolution layer. Specifically, both the input images and their Bernoulli sampling instances are adopted as network input first, and then, a devised loss function is integrated into the network to remove the background noise. Finally, the denoised output is estimated using the average of multiple predicted outputs. Experiments with various OCT datasets are conducted to verify the effectiveness of the proposed S2Snet scheme. Results compared with those of the existing methods demonstrate that S2Snet not only outperforms those existing self-supervised deep learning methods but also achieves better performances than those non-deep learning ones in different cases. Specifically, S2Snet achieves an improvement of 3.41% and 2.37% for PSNR and SSIM, respectively, as compared to the original Self2Self network, while such improvements become 19.9% and 22.7% as compared with the well-known non-deep learning NWSR method.
Validity Evidence for Procedure-specific Competence Assessment Tools in Orthopaedic Surgery: A Scoping Review

Introduction: Competency-based training requires frequent assessment of residents' skills to determine clinical competence. This study reviews existing literature on procedure-specific competence assessment tools in orthopaedic surgery. Methods: A systematic search of eight databases up to May 2023 was conducted. Two reviewers independently assessed validity evidence and educational utility of each assessment tool and evaluated studies' methodological quality. Results: Database searching identified 2,556 unique studies for title and abstract screening. Full texts of 290 studies were reviewed; 17 studies met the inclusion criteria. Bibliography review identified another five studies, totaling 22 studies examining 24 assessment tools included in the analysis. These tools assessed various orthopaedic surgery procedures within trauma, sports medicine, spine, and upper extremity. Overall validity evidence was low across all studies, and was lowest for consequences and highest for content. Methodological quality of studies was moderate. Educational utility assessment was not explicitly done for most tools. Discussion: The paucity of current procedure-specific assessment tools in orthopaedic surgery lacks the validity evidence required to be used reliably in high-stake summative assessments. Study strengths include robust methodology and use of an evidence-based validity evidence framework. Poor-quality existing evidence is a limitation and highlights the need for evidence-based tools across more subspecialties.