Miracle-dz/UniFAR-FTUs huggingface dataset:
Pooling history of cracked gas in middle-deep reservoirs in Lijin-Minfeng areas of the Dongying sag

The middle-deep cracked gas discovered in the Dongying sag are mainly distributed in ES4 (the fourth member of the Paleogene Shahejie Formation) and were sourced from the source rocks in the lower of ES4 in the low-lying area. The accumulation time and charging stages of the middle-deep cracked gas in the study area were analyzed based on reconstruction of hydrocarbon generation history of the source rocks in the lower ES4 and in combination with the study of fluid inclusion in diagenetic minerals and the geologic settings. The source rocks in the lower of ES4 generated hydrocarbons in two stages, one of which was dominated by generation of oil and the other by oil and gas. Three sets of source rocks recognized in the lower of ES4 from bottom to top began to generate cracked gas in the early Dongying, the end of Dongying and the end of Guantao ages respectively. Two hydrocarbon charging stages were identified in the lower ES4 reservoirs, with the first one occurring during ES2-end of Dongying and being dominated by oil, while the second one occurring from the end of Guantao till now. The latter can be further divided into two periods, with the first being the Guantao-Minghuazhen period and dominated by oil charging, while the second being from Minghuazhen till now and dominated by cracked gas charging. Only the second stage of oil charging occurred in the structural high.
Relationship Between Social Media use with Adolescents Stress Levels in Bentian Besar 1 Senior High School

Introduction: social media is a medium on the internet that allows users to represent themselves and interact, collaborate, share, communicate with other users, and form virtual social bonds. Playing too much social media can cause stress in teenagers. Stress is a condition of a person experiencing an imbalance between what is desired and reality. Objective: To determine the relationship between social media use and stress levels in Bentian Besar 1 Senior High School adolescents. Methods: The research design in this study was descriptive correlation using a cross-sectional approach. The study was conducted in January 2022. Determination of the sample Stratified Random sampling, the research sample amounted to 132 respondents. The statistical test used is Chi-Square if it is obtained t arithmetic (p-value) <0.05, then the hypothesis Ha is accepted and Ho is rejected. Results and Discussion: The use of social media in the rare category (48.5%), stress levels in the moderate category (41.7%). There is a relationship between the use of social media with stress levels in adolescents (p-value = 0.00). Conclusion: There is a relationship between the use of social media with the level of Adolescents at Bentian Besar 1 Senior High School.
Unsupervised Deep Learning for Advanced Forming Limit Analysis in Sheet Metal: A Tensile Test-Based Approach

An accurate description of the formability and failure behavior of sheet metal materials is essential for an optimal forming process design. In this respect, the forming limit curve (FLC) based on the Nakajima test, which is determined in accordance with DIN EN ISO 12004-2, is a wide-spread procedure for evaluating the formability of sheet metal materials. Thereby the FLC is affected by influences originating from intrinsic factors of the Nakajima test-setup, such as friction, which leads to deviations from the linear strain path, biaxial prestress and bending superposition. These disadvantages can be circumvented by an alternative test combination of uniaxial tensile test and hydraulic bulge test. In addition, the forming limit capacity of many lightweight materials is underestimated using the cross-section method according to DIN EN ISO 12004-2, due to the material-dependent occurrence of multiple strain maxima during forming or sudden cracking without prior necking. In this regard, machine learning approaches have a high potential for a more accurate determination of the forming limit curve due to the inclusion of other parameters influencing formability. This work presents a machine learning approach focused on uniaxial tensile tests to define the forming limit of lightweight materials and high-strength steels. The transferability of an existing weakly supervised convolutional neural network (CNN) approach was examined, originally designed for Nakajima tests, to uniaxial tensile tests. Additionally, a stereo camera-based method for this purpose was developed. In our evaluation, we train and test materials, including AA6016, DX54D, and DP800, through iterative data composition, using cross-validation. In the context of our stereo camera-based approach, strains for different materials and thicknesses were predicted. In this cases, our method successfully predicted the major strains with close agreement to ISO standards. For DX54D, with a thickness of 0.8 mm, the prediction was 0.659 (compared to ISO’s 0.664). Similarly, for DX54D, 2.0 mm thickness, the predicted major strain was 0.780 (compared to ISO 0.705), and for AA6016, at 1.0 mm thickness, a major strain of 0.314 (in line with ISO 0.309) was estimated. However, for DP800 with a thickness of 1.0 mm, the prediction yielded a major strain of 0.478 (as compared to ISO 0.289), indicating a divergence from the ISO standard in this particular case. These results in general, generated with the CNN stereo camera-based approach, underline the quantitative alignment of the approach with the cross-section method.
A Comparison of Longitudinal Patterns in Hyporheic and Benthic Oligochaete Assemblages in a Glacial River

This paper examines the longitudinal pattern of oligochaetes in the hyporheic and benthic layers of a glacial river (Val Roseg, Switzerland). We hypothesized that the spatial distribution of oligochaete communities would reflect changes in surface water/groundwater interactions along the river continuum. From June to November 1997 (4 dates), three hyporheic and three benthic samples were collected at 11 and 9 sites, respectively, located over a distance of 11 km from the glacier terminus. A two-ended member mixing model based on concentrations of sodium was used to determine changes in the relative proportions of glacial water and groundwater along the river. The longitudinal increase in the diversity and abundance of hyporheic assemblages of oligochaetes was closely linked to the convergence of groundwater and surface glacial water. The differential distribution of hyporheic and benthic assemblages suggested that the hyporheic corridor acted as the main upstream migration pathway for oligochaetes. In this glacial river, the hyporheic zone appeared as a source area from which benthic habitats presenting suitable environmental conditions could be colonized.
SAMPLING TECHNIQUES FOR JUVENILE PALLID STURGEON AND THE CONDITION AND FOOD HABITS OF STURGEON IN THE MISSOURI RIVER BELOW FORT RANDALL DAM, SOUTH DAKOTA

SAMPLING TECHNIQUES FOR JUVENILE PALLID STURGEON AND THE CONDITION AND FOOD HABITS OF STURGEON IN THE MISSOURI RIVER BELOW FORT RANDALL DAM, SOUTH DAKOTA Greg A. Wanner January 2006 Many state and federal agencies are actively trying to recover the currently endangered pallid sturgeon Scaphirhynchus albus. Efforts have been made to stock hatchery-reared juvenile pallid sturgeon (HRJPS) throughout the Missouri River to help facilitate recovery and long-term monitoring programs were established to evaluate sturgeon populations and the associated fish community. However, there is limited knowledge on how and when to effectively sample for juvenile pallid sturgeon. I compared the effectiveness of passive gill nets, hoop nets, set lines, and drifted trammel nets and towed beam trawls to develop criteria to best determine the mean catch per unit effort (CPUE) for juvenile pallid sturgeon based on selectivity and seasonal efficiency in various habitats of the Missouri River below Fort Randall Dam, South Dakota from April to November in 2003 and 2004. Passive integrated transponder (PIT), elastomer, or a dangler tag identified all pallid sturgeon captured as HRJPS. I captured 18 HRJPS in a total of 300 overnight gill net sets, 37 HRJPS in a total of 707 trammel nets, and 19 HRJPS on 1,299 set lines baited with earthworms Lumbriscus
A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

Purpose This study aims to identify the novel risk predictors of low medication adherence of cirrhosis patients in a large cohort and construct an applicable predictive model to provide clinicians with a simple and precise personalized prediction tool. Patients and Methods Patients with cirrhosis were recruited from the inpatient populations at the Department of Infectious Diseases of Tangdu Hospital. Patients who did not meet the inclusion criteria were excluded. The primary outcome was medication adherence, which was analyzed by the medication possession ratio (MPR). Potential predictive factors, including demographics, the severity of cirrhosis, knowledge of disease and medical treatment, social support, self-care agency and pill burdens, were collected by questionnaires. Predictive factors were selected by univariable and multivariable logistic regression analysis. Then, a nomogram was constructed. The decision curve analysis (DCA), clinical application curve analysis, ROC curve analysis, Brier score and mean squared error (MSE) score were utilized to assess the performance of the model. In addition, the bootstrapping method was used for internal validation. Results Among the enrolled patients (460), most had good or moderate (344, 74.78%) medical adherence. The main risk factors for non-adherence include young age (≤50 years), low education level, low income, short duration of disease (<10 years), low Child-Plush class, poor knowledge of disease and medical treatment, poor social support, low self-care agency and high pill burden. The nomogram comprised these factors showed good calibration and good discrimination (AUC = 0.938, 95% CI = 0.918–0.956; Brier score = 0.14). In addition, the MSE value was 0.03, indicating no overfitting. Conclusion This study identified predictive factors regarding low medication adherence among patients with cirrhosis, and a predictive nomogram was constructed. This model could help clinicians identify patients with a high risk of low medication adherence and intervention measures can be taken in time.
Ripples under partially standing waves for different reflection coefficients: a laboratory experiment

A series of wave-flume experiments was performed to examine ripple geometry, development, and migration under partially standing waves for five different intensities of wave reflection. The present experiments showed the cross-shore variation of the development and geometry of bedforms corresponding to the position of nodes and antinodes. The ripple field tended to initiate under nodes and spread from nodes to antinodes. The local-mean ripple spacings were the largest under nodes and the smallest under antinodes. The difference of the ripple development and the ripple spacing between nodes and antinodes became more pronounced with increasing the intensity of wave reflection. The local-mean ripple spacings in the present experiments correspond approximately with those predicted by Nielsen’s (1979, 1981) empirical formula. The trend of sediment transport predicted by ripple migration is consistent with the bed profiles at the end of each run. The geometry, development, and migration of ripples are a possible clue for understanding the cross-shore variation in local hydraulic conditions and mass sediment transport under partially standing waves.
Experiences of counselors participating in an innovative project to develop a training program for specialized foster parents of youth (13–18 years)

Background Children placed in foster care represent a vulnerable and distressed group that requires a high level of care. However, good training programs designed to address specific problems presented in specialized foster care are not easily accessible due to logistical, economic and structural barriers. The lack of easy access and a strong desire to provide high-quality services inspired counselors from a specialized foster care center on the frontline to initiate an innovative, developmentally relevant and locally grounded training program. Aims This study focuses on counselors’ experiences with the development of the training program and its impact on their work life. Method A qualitative research design within a participatory approach framework was used to understand the experiences of the counselors. All the counselors employed in the department and the leaders (n = 14) participated in the study. Data were gathered from participants, including the lead and second authors, using a semi-structured interview, and analyzed using thematic analysis. Results The analyses yielded three main categories: (i) Psychological Factors, (ii) Social Dynamics, and (iii) Leadership Style and Support. Each of the first two categories consisted of three subcategories. At the psychological level, the employees’ experiences reflected the psychological states and traits required to fuel the tasks required by the project. The social dynamics of working in a team influenced the work process and, in turn, were impacted by it. Lastly, leadership style and support provided the foundation for innovation to germinate and grow. Conclusion Engaging in a locally created training program was associated with a strong sense of collaboration and team spirit. Counselors reported high intrinsic motivation and a strong sense of personal pride and drive for their jobs. They were proactive in seeking colleagues with particular expertise and collaborated on project tasks despite differences. The leadership style reflected the presence of transformational leadership behaviors, signaling an organizational culture conducive to innovation. The study provides an example of how aligning employees’ personal aspirations with workplace goals and professional development can create a workplace in which employees feel it is enjoyable to go to work.
Labor market distortions in major emerging-market economies: Some CGE estimates

Purpose ― In the present study, the effects of labor market distortions on economic structure and efficiency are estimated for seven emerging-market countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Methods ― The estimates are based on a computable equilibrium (CGE) model that allows simulation of the inter-industry links of 56 industries plus a sector representing the rest of the world from data collected in the World Input-Output Database (Release 2016) for the period 2000-2014. Findings ― The results show that wage differentials appear to be distortionary, especially in the cases of countries with high wage-income inequality. Moreover, it seems that labor market distortions in emerging-market countries are subject to the rural-urban dichotomy and urban labor-market imperfections. Finally, the results show that the removal of wage differentials affects the terms of trade, which are improved in most but not all cases.Implication ― The conclusions of the present study have policy implications. In countries where the rural-urban dichotomy is the main distortion in labor markets, increasing urbanization can stimulate efficiency; when this is not the case, further reform of urban labor markets is needed. However, it cannot be ruled out in advance that a policy aimed at enhancing labor mobility may have a negative impact on the terms of trade. Originality ― The estimation method used in the present study presents certain advances over others found in the literature, as it becomes possible to estimate the effects of labor-market distortions while considering the interdependencies between different sectors, as well as to plausibly estimate the effects on trade. The present study also uses a large quantity of data, which is expected to add robustness to the study’s conclusion.
Relationship Between Functional Capacity and Health Related Quality of Life Among Cardiac Patients

Background: Cardiac diseases make the patients prone for decline in their functional capacity and a diminished quality of life. The aim of the study is to assess relationship between functional capacity and Health Related Quality of Life (HRQOL) among cardiac patients. Methodology: This correlational research was carried out by examining cardiac patients who were receiving treatment at the selected hospital of Punjab, India. 6 Minute Walk Test (6MWT) and Quality of Life SF-36 were used to assess functional capacity and HRQOL among subjects. Results: Of the 196 cardiac patients, 80.1% patients were not able to cover more than 250 m of walking distance during 6MWT, depicting to have a low Functional capacity. Results also revealed that all (n=196) cardiac patients had poor quality of life. Furthermore, a significant mild positive correlation (.223) between the functional capacity and HRQOL was found among these cardiac patients. Conclusion: Functional capacity and quality of life are directly related to each other. Poor the functional capacity poor is the quality of life of cardiac patients. Thus, the results point towards the need for early involvement of patients in cardiac rehabilitation in order to improve health and prevent future complications.
MINERAL FERTILIZERS IMPACT ON SUGAR BEET PRODUCTIVITY IN SOUTHEAST KAZAKHSTAN

Determining the influence of various levels of mineral fertilizers to obtain the optimum productivity of two sugar beet (Beta vulgaris L.) hybrids was the prime goal of the pertinent research. The sugar beet responsiveness’ identification and their payback by enhanced yield to increasing fertilizer rates was effective. The fertilizers’ role in managing the variations in the primary indicators of efficient soil fertility has also been evident. Regression analysis described the relationship among the fertilizer intensity, soil agrochemical indicators, and the productivity of sugar beet. It allowed, with a high degree of reliability, to predict the sugar beet yield of the two hybrids (Aksu and Yampol) at different levels of fertilizer strength. The data characterizing the state of sugar beet sowing in Kazakhstan over the past 10 years are accessible.
Determinantes de la discrecionalidad directiva en la elección del método contable de las participaciones en negocios conjuntos

RESUMEN Este trabajo analiza los motivos que subyacen a la elección contable para registrar las participaciones en un tipo concreto de negocio conjunto: la sociedad multigrupo. Dadas las características de los métodos alternativos, integración proporcional vs. puesta en equivalencia, la elección contable no afecta al resultado sino a la cantidad de información y con ello a los ratios financieros. El análisis se refiere a cincuenta y una empresas españolas cotizadas que llevaron a cabo 893 elecciones en el periodo de vigencia de las NFCAC (1991–2004). Estas normas daban libertad para elegir un procedimiento u otro sin exigir consistencia. Los resultados del análisis logistico evidencian que los factores interdependencia entre las actividades del partícipe y la SM y especificidad de los activos, así como tamaño influyen de forma positiva en la adopción de la integración proporcional; mientras que el endeudamiento tiene el impacto contrario en la decisión. Por su parte la estructura accionarial guarda una relación no lineal con la elección contable.
EFFECT OF INTELLECTUAL CAPITAL DISCLOSURE ON SHARE PRICE

Changes and developments in technology and knowledge have an impact on the business world, making intangible assets critical to a company’s success. However, awareness about the importance of disclosure of intangible assets, especially intellectual capital, is still low. This study aims to analyze the disclosure of intellectual capital as measured using Value Added Intellectual Capital (VAIC) related to its relevance to stock prices as measured using the closing price. The population taken is companies that are listed on the Indonesia Stock Exchange, especially those in the infrastructure sector companies in 2020-2021. By using purposive sampling in the use of samples, it was found that there were 68 observations were acquired during the course of two-year observation period. The findings show that intellectual capital does not significantly affect the stock price variable. In other words, that more information about intellectual capital does not increase stock prices, and vice versa.
Mosaicism in BRPF1-Related Neurodevelopmental Disorder: Report of Two Sisters and Literature Review

Bromodomain and PHD finger containing 1 (BRPF1)-related neurodevelopmental disorder is characterized by intellectual disability, developmental delay, hypotonia, dysmorphic facial features, ptosis, and blepharophimosis. Both de novo and inherited pathogenic variants have been previously reported in association with this disorder. We report two affected female siblings with a novel variant in BRPF1 c. 2420_2433del (p.Q807Lfs∗27) identified through whole-exome sequencing. Their history of mild intellectual disability, speech delay, attention deficient hyperactivity disorder (ADHD), and ptosis align with the features previously reported in the literature. The absence of the BRPF1 variant in parental buccal samples provides evidence of a de novo frameshift pathogenic variant, most likely as a result of parental gonadal mosaicism, which has not been previously reported. The frameshift pathogenic variant reported here lends further support to haploinsufficiency as the underlying mechanism of disease. We review the literature, compare the clinical features seen in our patients with others reported, and explore the possibility of genotype-phenotype correlation based on the location of pathogenic variants in BRPF1. Our study helps to summarize available knowledge and report the first case of a de novo frameshift pathogenic variant in BRPF1 in two siblings with this neurodevelopmental disorder.
Monitoring of ground surface and subsurface deformations at oil sands using radar interferometry

ABSTRACTConventional monitoring methods, such as surveying and tiltmeter, require labor-intensive and time-consuming fieldwork, and they are limited to specific locations, either survey stations or an array of tiltmeters. Furthermore, none of the studies about the geomechanical inversion of cumulative surface deformations for the inference of subsurface volumetric changes in Canadian oil sands has yet been published. Radar interferometry has been widely used for monitoring surface deformations over a large area in all weather conditions with high accuracy. We have developed a method to detect surface deformations by radar interferometry techniques and to estimate subsurface volumetric changes by geomechanical inversion of surface deformation measurements. Differential interferometric synthetic aperture radar was implemented using first advanced land observation satellite phased array type L-band synthetic aperture radar data; the resulting interferograms indicated the vertical surface deformations between.