Miracle-dz/UniFAR-FTUs huggingface dataset:
Electronic Structure of Lr+ (Z = 103) from Ab Initio Calculations

The four-component relativistic Dirac–Coulomb Hamiltonian and the multireference configuration interaction (MRCI) model were used to provide the reliable energy levels and spectroscopic properties of the Lr+ ion and the Lu+ homolog. The energy spectrum of Lr+ is very similar to that of the Lu+ homolog, with the multiplet manifold of the 7s2, 6d17s1 and 7s17p1 configurations as the ground and low-lying excited states. The results are discussed in light of earlier findings utilizing different theoretical models. Overall, the MRCI model can reliably predict the energy levels and properties and bring new insight into experiments with superheavy ions.
Dyslipidemia is an Independent Predictor of Rapid Progressive Disease in Patientswith Chronic Liver Disease

Introduction: In chronic liver disease (CLD), the lipid profile biomarkers are altered because of decreased lipoprotein biosynthetic capacity. Objectives: To identify the association of dyslipidemia with various characteristics in chronic liver disease patients. Patients and meth­ods: This cross-sectional study was conducted at the Department of Medicine, Civil Hospital, Karachi. The study was conducted between 1st July to 31st December 2017. A total of 211 adults with chronic liver disease were included in the study. Data regarding age, gender, body mass index (BMI), duration of CLD, family history of dyslipidemia, and severity of cirrhosis were obtained. A 5ml fasting (12-14 hours) venous blood was collected and sent to the laboratory forthe measurement of lipid profiles. Dyslipidemia was established based the National Cholesterol Education Program Adult Treatment Panel (NCEP-ATP III) guidelines and definition. Results: The mean age of the study patients was 43.16(8.63) years. The majority of the subjects were males (57.3%). The mean duration of CLD in years was 5.21(2.32). The prevalence of dyslipidemia was found to be 76.3%. Dyslipidemia was prevalent among patients of the age group > 45 years and male gender. Variables including age, gender, income, duration of CLD and family history of dyslipidemia showed significant association with dyslipidemia. In the multivariable stage analysis, the only retained significant variables are gender and family history of dyslipidemia. Conclusion: The prevalence of dyslipidemia among chronic liver disease patients was high. Various characteristics of the CLD patients were found to be significantly associated with dyslipidemia and identified as potential risk factors for its development.
Comparative examination of pollutant emission from an automotive internal combustion engine with the use of vehicle driving tests

The pollutant emission from automotive internal combustion (IC) engines is highly susceptible to engine operation states determined by vehicle velocity processes. The article presents results of comparative examinations of specific distance pollutant emission characteristics determined from various vehicle driving tests. The specific distance pollutant emission was determined using vehicle type-approval and special tests as well as tests developed at the Automotive Industry Institute (PIMOT), treated as realizations of the stochastic process of vehicle velocity. The research results confirmed high susceptibility of the IC engine pollutant emission to the engine operation states, which endorses the usefulness of treating the conditions of operation of automotive engines as stochastic processes.
Clinical Value of the Prognostic Nutrition Index in the Assessment of Prognosis in Critically Ill Patients with Stroke: A Retrospective Analysis

Purpose The purpose of study was to evaluate the association between prognostic nutritional index (PNI) and all-cause mortality of critically ill patients with stroke. Methods Clinical data derived from Multiparameter Intelligent Monitoring in Intensive Care were analyzed. The primary endpoint was 30-day all-cause mortality; secondary endpoints were 90-day mortality and one-year cause mortality. The potential prognostic roles of PNI were analyzed by Cox proportional hazard models. The independent prognostic roles of PNI in the cases were analyzed by smooth curve fitting. Results Concerning 30-day mortality, the HR (95% CI) for a high PNI (≥39.7) was 0.700 (0.544, 0.900; P = 0.00539), compared to a low PNI (<39.7). After adjusting for multiple confounders, the HR (95% CI) for a high PNI (≥39.7) was 0.732 (0.547, 0.978; P = 0.03514), compared to a low PNI (<39.7). Regarding 90-day and one-year mortality, a similar trend was observed. In addition, a nonlinear association between PNI and 30-day mortality was found. Using recursive algorithm and two-piecewise linear regression model, inflection point (IP) was calculated, which was 49.4. On the right side of the IP, there was a positive relationship between PNI and 30-day mortality, and the effect size, 95% CI, and P value were 1.04 (1.01, 1.07), P = 0.0429, respectively. On the left of the IP, the effect size, 95% CI, and P value were 0.97 (0.96, 0.99) and 0.0011, respectively. Conclusions The PNI was an independent predicting factor of 30-day, 90-day, and 1-year mortality of the critically ill patients with stroke. In addition, there was a U-shaped relationship between PNI and all-cause mortality of stroke patients. PNI was a risk factor for the outcome of stroke when PNI was >49.4, while PNI was a protective factor for outcome of stroke when PNI was <49.4.
Performance prediction of the high head Francis-99 turbine for steady operation points

Steady-state numerical investigations are still the reference computational method for the prediction of the global machine performance during the design phase. Accordingly, steady state CFD simulations of the complete high head Francis-99 turbine, from spiral casing to draft tube have been performed at three operating conditions, namely at part load (PL), best efficiency point (BEP), and high load (HL). In addition, simulations with a moving runner for the three operating points are conducted and compared to the steady state results. The prediction accuracy of the numerical results is assessed comparing global and local data to the available experimental results. A full 360°-model is applied for the unsteady simulations and for the steady state simulations a reduced domain was used for the periodic components, with respectively only one guide vane and one runner passage. The steady state rotor-stator interactions were modeled with a mixing-plane. All CFD simulations were performed at model scale with an in-house 3D, unstructured, object-oriented finite volume code designed to solve incompressible RANS-Equations. Steady and unsteady solver simulations are both able to predict similar values for torque and head in design and off-design. Flow features in off-design operation such as a vortex rope in PL operation can be predicted by both simulation types, though all simulations tend to overestimate head and torque. Differences among steady and unsteady simulations can mainly be attributed to the averaging process used in the mixing plane interface in steady state simulations. Measured efficiency agrees best with the unsteady simulations for BEP and PL operation, though the steady state simulations also provide a cost-effective alternative with comparable accuracy.
The hurdle model: Analysing the influence of country characteristics on participation in IPSASB’s due process

IMPACT This article provides insight into what influences stakeholder participation in the IPSASB’s due process. It shows how country characteristics, specifically English-proficiency, economic development and the IPSAS implementation status, influence stakeholder participation. The results show which tools would be most effective to increase participation, such as translating IPSAS into different global languages and organizing regional round tables or forums. This article is not only relevant for standard-setting boards but for any organization that seeks to increase the quality and quantity of its stakeholder participation because it shows how to examine variables that influence stakeholders’ participation behaviour.
Aggregating Without Bloating: Hard Times for TCP on Wi-Fi

Since the definition of the bufferbloat phenomenon, several Linux kernel modules have been introduced in its TCP/IP stack, and there is a lack of experimental studies on their effects when coupled with WLAN technologies, in particular, IEEE 802.11n and IEEE 802.11ac. One essential algorithm introduced is named TCP Small Queues (TSQ) and has the role of limiting the number of packets that a TCP socket can enqueue in the stack, waiting for the physical layer to send the packets before enqueueing extra data. A second significant TCP algorithm is named TCP Pacing (TP) and regulates the pace used by the socket to enqueue packets in the stack, regulating the formation of bursts of data. These mechanisms affect the frame aggregation logic on WLAN networks and compromise the throughput-latency tradeoff of all the TCP variants. This paper presents an experimental evaluation of these techniques investigating the wireless network performance of several TCP congestion control variants under the presence of different TSQ and TP policies, modeling also their interaction.
Steroid profiling in brain and plasma of adult zebra finches following traumatic brain injury

Traumatic brain injury (TBI) is a serious health concern and a leading cause of death. Emerging evidence strongly suggests that steroid hormones (estrogens, androgens, and progesterone) modulate TBI outcomes by regulating inflammation, oxidative stress, free radical production, and extracellular calcium levels. Despite this growing body of evidence on steroid‐mediated neuroprotection, very little is known about the local synthesis of these steroids following injury. Here, we examine the effect of TBI on local neurosteroid levels around the site of injury and in plasma in adult male and female zebra finches. Using ultrasensitive liquid chromatography–tandem mass spectrometry (LC–MS/MS), we examined estrogens, androgens, and progesterone in the entopallium and plasma of injured and uninjured animals. Three days after injury, elevated levels of 17β‐estradiol (E2), estrone (E1), and testosterone (T) were detected near injured brain tissue with a corresponding increase in E2 also detected in plasma. Taken together, these results provide further evidence that TBI alters neurosteroid levels and are consistent with studies showing that neurosteroids provide neuroprotection following injury.
Distributed and Performance Guaranteed Robust Control for Uncertain MIMO Nonlinear Systems With Controllability Relaxation

In this article, we investigate the distributed output tracking problem for networked uncertain nonlinear multi-inputs–multi-outputs (MIMO) strict-feedback systems with intermittent actuator faults under a directed protocol. By embedding some user-designed performance functions into a backstepping-like design procedure, a distributed robust control scheme is developed that exhibits several salient features: 1) relaxing the system controllability conditions by inserting some differentiable compensation terms into the controllers that enables a larger class of system models to be coped with; 2) dealing with mismatched uncertainties and accommodating actuation ineffectiveness automatically while achieving prescribed transient and steady-state tracking performance, i.e., the output tracking error converges into an arbitrarily predefined residual set exhibiting an arbitrarily preselected convergence rate; 3) lowering structural and computational complexity by avoiding the derivatives of virtual controllers and desired trajectory, eluding the usage of extra observers to estimate the states of the neighbors, and demanding little prior information on system nonlinearities or no approximator to compensate for them; 4) reducing the communication burden by requiring only the output information from the neighbors for control design. Furthermore, all the closed-loop signals are ensured to be semiglobally ultimately uniformly bounded. Finally, the benefits of this method are verified via numerical simulation.
Pengaruh Efikasi Diri dan Regulasi Diri terhadap Stress Akademik Mahasiswa selama Pandemi COVID-19

The emergence of the COVID-19 pandemic has changed the world of education, because face-to-face learning activities were stopped and the learning process shifted to using online methods. Changes in the learning process cause academic stress in students. This paper aims to describe the results of research on the effect of student self-efficacy and self-regulation on academic stress experienced by students in online courses. This study uses a quantitative approach. Data analysis used multiple linear regression with the help of SPSS version 26 for windows. The results of the study state that self-efficacy and self-regulation have an effect on student academic stress which can be seen from the calculation results obtained with a significance value of 0.000 ≤ 0.05. Then, there is a significant effect between self-efficacy and academic stress on students as seen from the calculation results obtained with a significance value of 0.000 ≤ 0.05. Furthermore, there is an influence between self-regulation and academic stress on students as seen from the calculation results obtained with a significance value of 0.007 ≤ 0.05.
Dapagliflozin Use in Heart Failure with Ejection Fraction Accompanied by Type 2 Diabetes Mellitus: A Systematic Review

Heart failure patients with reduced ejection fraction (HFrEF) respond well to pharmacological therapy and show a better prognosis. Heart failure patients with reduced ejection fraction and type 2 diabetes who were given SGLT-2 inhibitor therapy showed a strong and consistent reduction in the risk of death and hospitalization. The therapy that has recently been investigated for its benefits for heart failure from the SGLT-2 inhibitor class is Dapagliflozin. The systematic review aims to analyze the effect of Dapagliflozin on the prognosis of HFrEF patients with type 2 diabetes mellitus. Material and Methods : The references was searched from e-database PubMed, ScienceDirect, and ClinicalTrial.gov. Quality assessment was done using the Critical Appraisal Skills Program (CASP) Randomized Controlled Trial Standard Checklist. Results: A total of 22,167 patients from 4 RCTs eligible studies were included. The analysis results of all of the included studies indicate that Dapagliflozin affected the patient's prognosis. Two studies discuss mortality and hospitalization, and two studies discuss symptoms, functional status, and Quality of Life (QoL). Conclusion: Dapagliflozin can improve the prognosis of HFrEF patients with type 2 DM. The improved prognosis includes reduced mortality, reduced hospitalizations by minimizing disease worsening, reducing symptoms, improving functional status and QoL.
The Influence of Senior Secondary School Learners’ Attitudes Towards Mathematics on Their Performance in Selected Rural Secondary Schools in Vhembe West District

The study investigated the influence of learners’ attitudes on their Mathematics performance in some selected secondary schools in Vhembe West District. The researcher used a mixed methods approach in this study. The study’s design was a sequential explanatory mixed method design. Closed-ended questionnaires and a semi-structured interview were used for data collection. The reliability of the instrument was tested using the Cronbach coefficient and a pilot study was conducted to check validity. Convenience sampling was used to select the five schools that participated in the study. The one hundred and thirty (130) learners who participated in the quantitative stage were randomly sampled. The Statistical Package for Social Sciences (SPSS), Version 25 was used to analyse the responses from the quantitative data, and was presented in frequencies and percentages, generated to explain all variables under study. Qualitative data analysis was through content analysis. Findings of the study indicated that the majority of the learners have a positive attitude towards the study of Mathematics. The study found that learners’ attitudes are influenced by various factors that range from a teacher-centred method of teaching to a learner’s method of learning. In addition, lack of material (such textbooks, computers and display of physical objects) for learning Mathematics and lack of motivation generates a negative attitude, while poor learner performance in Mathematics leads to dislike for the subjects. The study concluded that learners’ motivation to learn, affected their attitude towards Mathematics, due to lack of learning materials. In conclusion, most learners believed that Mathematics was difficult, and it took a long time to understand the concepts, since there were no physical objects/materials displayed by the teachers during teaching and learning to support the meaning of the concept taught. The study recommends that the Department of Education (DoE) should provide enough learning-friendly materials for learners to make the learning of Mathematics enjoyable.
Making Every “Point” Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men’s wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modeling. The valid and reliable template developed Francis et al. (2019) was used to analyze video footage in SportsCode from 31 games at the men’s 2015 European Wheelchair Basketball Championships. The 31 games resulted in 6,126 rows of data which were exported and converted into a CSV file, analyzed using R (R Core Team, 2015) and subjected to a data modeling process. Chi-square analyses identified significant (p < 0.05) relationships between Game Outcome and 19 Categorical Predictor Variables. Automated stepwise binary regression model building was completed using 70% of the data (4,282 possessions) and produced a model that included 12 Categorical Predictor Variables. The accuracy of the developed model was deemed to be acceptable at accurately predicting the remaining 30% of the data (1,844 possessions) and produced an area under the receiver operating characteristic curve value of 0.759. The model identified the odds of winning are more than double when the team in possession are in a state of winning at the start of the possession are increased five-fold when the offensive team do not use a 1.0 or 1.5 classified player, but are increased six-fold when the offensive team use three or more 3.0 or 3.5 players. The final model can be used by coaches, players and support staff to devise training and game strategies that involve selecting the most appropriate offensive and defensive approaches when performing ball possessions to enhance the likelihood of winning in elite men’s wheelchair basketball.
The Novel Reductase Inhibitor COH29 Inhibits DNA Repair In Vitro.

COH29, a novel antimetabolite drug developed at City of Hope Cancer Center, has anticancer activity that stems primarily from the inhibition of human ribonucleotide reductase (RNR). This key enzyme in deoxyribonucleotide biosynthesis is the target of established clinical agents such as hydroxyurea (HU) and gemcitabine because of its critical role in DNA replication and repair. Herein we report that BRCA-1-defective human breast cancer cells are more sensitive than wild-type BRCA-1 counterparts to COH29 in vitro and in vivo . Microarray gene expression profiling showed that COH29 reduces expression of DNA repair pathway genes, suggesting that COH29 interferes with these pathways. It is well-established that BRCA1 plays a role in DNA damage repair, especially homologous recombination (HR) repair, to maintain genome integrity. In BRCA1-defective HCC1937 breast cancer cells, COH29 induced more double-strand breaks (DSB) and DNA-damage response (DDR) than in HCC1937+BRCA1 cells. By EJ5- and DR-GFP reporter assay, we found COH29 could inhibit NHEJ efficiency and that no HR activity was detected in HCC1937 cells, suggesting the repression of the NHEJ repair pathway may be involved in COH29-induced DSB in BRCA1-deficient HCC1937 cells. Furthermore, we observed accumulation of nuclear Rad51 foci in COH29-treated HCC1937+BRCA1 cells, suggesting BRCA1 plays a crucial role in repairing/recovering drug-induced DNA damage by recruiting Rad51 to damage sites. In summary, we have described additional biological effects of the RNR inhibitor COH29 that potentially strengthen its utility as an anticancer agent. NHEJ repair efficiency in a concentration-dependent manner. In the setting of the BRCA1-defective HCC1937 cells, which we also show are HR-deficient, this inhibition of NHEJ by COH29 dramatically reduced repair of DNA lesions. Indicative of this is that after COH29 treatment fewer Rad51 nuclear foci were observed in HCC1937 than in HCC1937+BRCA1 cells. In addition, our microarray results revealed that COH29 downregulated various DNA repair genes. These data suggest defective HR and NHEJ DNA repair pathways may contribute to the cytotoxicity of COH29 in BRCA1-deficient cells, and as a corollary that BRCA1 status plays a central role in determining the cytotoxicity of COH29 in cancer cells.
Herding in Imperial Russia: Evidence from the St. Petersburg Stock Exchange (1865–1914)

ABSTRACT We present seminal empirical evidence on market-wide herding from historical markets for the St. Petersburg stock exchange between 1865 and 1914. Our findings indicate the presence of herding in Imperial Russia’s largest equity market, which tends to vary among industries and grow stronger during months of negative performance and declining volatility. Controlling for the 1893-reform that prompted wider social participation in equity trading, we find that herding surfaces exclusively in the post-reform years, with no evidence of herding arising pre-reform. Our results showcase that the behavior of investors in historical stock exchanges exhibits patterns similar to those of modern-day ones.