Miracle-dz/UniFAR-FTUs huggingface dataset:
Financial Well-being and Its Psychological Determinants— An Emerging Country Perspective

Financial well-being (FWB) is critical to subjective well-being—a crucial component in measuring social progress. This study explores the simultaneous influence of five psychological traits of financial self-efficacy, risk tolerance, a propensity to plan, materialism and the tendency for social comparison on FWB. The study is a cross-sectional causal investigation using a web-based survey. The survey was administered to individuals who were active in financial decision-making activities and selected using a combination of judgmental and snowball sampling. Structural equation modelling revealed a positive influence on financial self-efficacy and propensity to plan and the negative impact of risk-tolerance, materialism and a tendency for social comparison on subjective FWB. Financial institutions and educators may utilize the study results for improving characteristics that help their clients make better financial decisions and enjoy higher levels of financial and subjective well-being. The study makes two contributions to the existing literature on the subject. First, the study simultaneously investigates the effect of the five psychological traits on subjective FWB—not attempted hitherto. Additionally, the study provides an Indian perspective on the subject, an emerging country covering one-sixth of the world population.
Molecular docking study of sea urchin (Arbacia lixula) peptides as multi-target inhibitor for non-small cell lung cancer (NSCLC) associated proteins

Context: Lung cancer is a type of cancer that causes the most deaths worldwide. The most common type of lung cancer is non-small cell lung cancer (NSCLC). Sea urchin (Arbacia lixula) has high potential as an anti-NSCLC agent. Aims: To analyze the anticancer activity of peptides from A. lixula coelomic fluid in inhibiting the activity of NSCLC-related proteins. Methods: Peptide modeling was performed using the PEP-FOLD3 web server. Proteins that have a crucial role in NSCLC progression were determined using KEGG pathway database. 3D protein structures such as EGFR, PI3K, BRAF V600E, and JAK3 were taken from the RCSB PDB database. Docking was performed using Autodock Vina software. Docking results analysis was carried out using Discovery Studio 2019 software. Results: Some peptides bind to the active sites with low binding affinity. Peptide 10 binds to the active site of the EGFR with a binding affinity of -9 kcal/mol. Peptide 5 binds to the active sites of PI3K and BRAF V600E with binding affinity of -8.2 and -8.1 kcal/mol, respectively. Peptide 11 binds to the active site of JAK3 with a binding affinity of -8.1 kcal/mol. All of these peptides have lower binding affinity than ATP as the native ligand. Besides, these peptides also produce more hydrogen bonds than ATP, so they are predicted to be more stable. Conclusions: Peptides 10, 5, and 11 have high potential as anti-NSCLC agents because they can inhibit the activity of proteins that play an essential role in the growth of NSCLC, namely EGFR, PI3K, BRAF V600E, and JAK3 through the competitive ATP inhibitor mechanism.
Albumin-Mediated Size Exclusion Chromatography: The Apparent Molecular Weight of PSMA Radioligands as Novel Parameter to Estimate Their Blood Clearance Kinetics

A meticulously adjusted pharmacokinetic profile and especially fine-tuned blood clearance kinetics are key characteristics of therapeutic radiopharmaceuticals. We, therefore, aimed to develop a method that allowed the estimation of blood clearance kinetics in vitro. For this purpose, 177Lu-labeled PSMA radioligands were subjected to a SEC column with human serum albumin (HSA) dissolved in a mobile phase. The HSA-mediated retention time of each PSMA ligand generated by this novel ‘albumin-mediated size exclusion chromatography’ (AMSEC) was converted to a ligand-specific apparent molecular weight (MWapp), and a normalization accounting for unspecific interactions between individual radioligands and the SEC column matrix was applied. The resulting normalized MWapp,norm. could serve to estimate the blood clearance of renally excreted radioligands by means of their influence on the highly size-selective process of glomerular filtration (GF). Based on the correlation between MW and the glomerular sieving coefficients (GSCs) of a set of plasma proteins, GSCcalc values were calculated to assess the relative differences in the expected GF/blood clearance kinetics in vivo and to select lead candidates among the evaluated radioligands. Significant differences in the MWapp,norm. and GSCcalc values, even for stereoisomers, were found, indicating that AMSEC might be a valuable and high-resolution tool for the preclinical selection of therapeutic lead compounds for clinical translation.
Resonant Auger Destruction and Iron Kα Spectra in Compact X‐ray Sources

We examine the effects of resonant Auger destruction in modifying the intensities and flux distributions of Kα spectra from iron L‐shell ions. Applications include X‐ray irradiated stellar winds in X‐ray binaries and accretion disk atmospheres. Using detailed atomic models, we find that resonant Auger destruction is selective, in that only a subset of the emitted Kα lines is highly attenuated. We also show that that the local excitation conditions can have a dramatic effect on the Kα emissivity spectrum.
Teacher's Mathematics Inside and Outside Classrooms: A Case Study of Mathematical Activity across Contexts.

This study was based on recent research findings that mathematical activity is fundamentally situated and distributed across physical and social contexts. Interviews, observations, and examination of artifacts were used to explore ways in which a 2nd-grade teacher with seven years of experience understood and used mathematics inside and outside her classroom. The connections she made between school and nonschool mathematics, the ways she taught and learned mathematics in the classroom, and the ways she used mathematics outside the classroom were investigated. Data analysis revealed the following list of categories of mathematical activities within and across contexts: flexibly modifying plans, making sense, using physical objects, stating solutions, measuring and calculating new measures, recognizing multiple solutions, checking one's work, and drawing connections. Contains 35 references. (MKR) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. 1,. ******************************************************************** Teachers' Mathematics Inside and Outside Classrooms: A Case Study of Mathematical Activity Across Contexts U.S DEPARTMENT OF EDUCATION Office of Educational Research and Improvernenl EDUCATIONAL RESOURCES INFORMATION tCENTER tERICI h.s document has been reproduced as leceived horn the oetson or otgan.rahon ongtnahng . 1 tj Minor changes have been made to improve ,e00duChan Qual.h. Points of view of opinions statedm trusdoct ment do not necessarthr reDreSent Who. ' OE RI oos.hon or OolCv Michelle K. McGinn Simon Fraser University PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY
Distinct Dynamical and Structural Properties of Marine Stratocumulus and Shallow Cumulus Clouds in the Eastern North Atlantic

Low‐level clouds in a marine environment are examined using multiple ground‐based instruments. We used Doppler radar and Doppler lidar measurements (a) to examine cloud properties including cloud base and top height and thickness and (b) to investigate vertical velocity (w) statistics throughout the subcloud and in‐cloud layers. Marine stratocumulus (Sc) and shallow cumulus (Cu) clouds have distinct properties in their horizontal and vertical extent. We also find that the two cloud types have different thermodynamic (coupled and decoupled conditions) and dynamical characteristics for the first four moments of the w distributions (mean, variance, skewness, and kurtosis). We identify a strong dependence of subcloud mean w on near‐surface horizontal wind direction, implying that topographic effects exert a substantial impact on boundary layer dynamics and cloud properties at Graciosa Island. Our findings strongly suggest that care must be taken when interpreting island‐based observations as representative of a generic marine dynamical environment. This information also can be useful for guiding and constraining the future global model development using an observational data set.
DiffTREAT: Differentiated Traffic Scheduling Based on RNN in Data Centers

Transmission schemes in data centers are supposed to accurately distinguish flow types for different scheduling. However, prior efforts failed to meet the needs at all levels in a cost-effectively way. Nor the existing schemes proved applicable to all the diverse scenarios or dynamic traffic patterns. Therefore, we proposed Differentiated Traffic schEduling in dAta cenTers (DiffTREAT) based the Recurrent Neural Network (RNN), aiming to simplify the transmission in the dynamic and diverse network scenarios. First, DiffTREAT utilizes deep learning methods for traffic classification and flow size prediction. Second, according to the classified results of flows, DiffTREAT adopts multilevel priority queues to ensure the preferential transmission of latency-sensitive flows while optimizing the overall average flow completion time (FCT). Third, DiffTREAT employs the network cache to increase the capacity of data center networks (DCN), which effectively fights against the traffic burst and improves the throughput of latency-insensitive flows. DiffTREAT has been tested in different topologies in the contexts of diverse network loads and real-world workloads. Experiment results showed that compared with state-of-the-art schemes, DiffTREAT yielded both the lower average flow completion time for latency-sensitive flows and the higher throughput for latency-insensitive flow.
Adaptive Markov Control Processes

Want to get experience? Want to get any ideas to create new things in your life? Read adaptive markov control processes now! By reading this book as soon as possible, you can renew the situation to get the inspirations. Yeah, this way will lead you to always think more and more. In this case, this book will be always right for you. When you can observe more about the book, you will know why you need this.
Forecasting the road accident rate and the impact of the covid 19 on its frequency in the polish provinces

The COVID-19 pandemic has significantly affected the development of road transport, not only in Poland, but also worldwide. Limited mobility, especially at the beginning of the pandemic, had a large impact on the number of road accidents. The aim of the present study is to predict the number of road accidents in Poland and to assess the impact of the COVID-19 pandemic on variability of the number of road accidents. To attain the objective, annual data on the road accidents for every province in Poland were collected and analysed. Based on historical crash data, obtained from the police, the number of road accidents was forecasted for both pandemic and non-pandemic scenarios. Selected time series models and exponential models were used to forecast the number of accidents. [ FROM AUTHOR]
Case Report: Green Light Exposure Relieves Chronic Headache Pain in a Colorblind Patient

Patients with chronic headaches sometimes prefer non-pharmacological methods for pain management. We have shown previously that green light exposure (GLED, Green Light Emitting Diode) reversed thermal hyperalgesia and mechanical allodynia in a rat model of neuropathic pain. This effect is mediated through the visual system. Moreover, we recently showed that GLED was effective in decreasing the severity of headache pain and the number of headache-days per month in migraine patients. The visual system is comprised of image-forming and non-image-forming pathways; however, the contribution of different photosensitive cells to the effect of GLED is not yet known. Here, we report a 66-year-old man with headaches attributed to other disorders of homeostasis and color blindness who was recruited in the GLED study. The subject, diagnosed with protanomaly, cannot differentiate green, yellow, orange, and red colors. After completing the GLED exposure protocol, the subject noted significant decreases in headache pain intensity without reduction in the number of headache-days per month. The subject also reported improvement in the quality of his sleep. These findings suggest that green light therapy mediates the decrease of the headache pain intensity through non-image-forming intrinsically photosensitive retinal ganglion cells. However, the subject did not report a change in the frequency of his headaches, suggesting the involvement of cones in reduction of headache frequency by GLED. This is the first case reported of a colorblind man with chronic headache using GLED to manage his headache pain and may increase our understanding of the contribution of different photosensitive cells in mediating the pain-relieving effects of GLED.
Modulation of physiological plasticity through structural and functional modifications in Stipagrostis plumosa L. for adaptability to hyper-arid environments

Recommended Citation BIBI, SAFURA; AHMAD, MUHAMMAD SAJID AQEEL; HAMEED, MANSOOR; and ALVI, AMBREEN KHADIJA (2022) "Modulation of physiological plasticity through structural and functional modifications in Stipagrostis plumosa L. for adaptability to hyper-arid environments," Turkish Journal of Botany: Vol. 46: No. 5, Article 3. https://doi.org/10.55730/1300-008X.2721 Available at: https://journals.tubitak. gov.tr/botany/vol46/iss5/3
DESIGN AND ANALYSIS OF A WIRELESS POWER TRANSMITTING SYSTEM FOR CAPSULE ROBOT USING TWO-DIMENSIONAL COMBINED SOLENOID COILS

|Wireless power transmission system (WPTS) based on electromagnetic induction is a promising way to power a gastrointestinal capsule robot (CR) for wireless diagnosis, which typically consists of a one-dimensional (1-D) power transmitting coil (PTC) to excite an alternating magnetic (cid:12)eld and a three-dimensional (3-D) power receiving coil (PRC) to induce signal. However, it is diﬃcult to apply a 3-D PRC to practical medical applications since the oversize bodily form of the mounting receiver brings the extra challenge of design for microCR. This paper proposes a novel WPTS with a space-saving architecture by combining a two-dimensional (2-D) PTC outside the human and 1-D PRC onboard the CR, which can permit CR to accomplish the mission of exploring the intestinal space with wireless energy supplying owing to small size related to 1-D PTC. The analytical expressions of the magnetic (cid:13)ux density, magnetic (cid:12)eld orientation, and uniform magnetic (cid:12)eld excited by the designed PTC are derived. Simulated and experimental outcomes are implemented to achieve the desired magnetic (cid:12)eld strength and direction by changing the transmission current of PTC, which veri(cid:12)es the feasibility and eﬀectiveness of developed methods. And the magnetic (cid:12)eld uniformity is greater than 44%. It can basically cover the 20 cm (cid:2) 20 cm area of the human abdomen at all times, which can permit the operational requirements of the CR in the practical case.
Developing Writing Skills, Writing Attitudes and Motivation through Educational Games: Action Research

This study aimed to improve elementary school students’ writing skills, attitudes towards writing and writing motivations through educational games. The study was designed within the scope of cooperative action research, and criterion sampling was used for the sample selection. The data collection tools included Writing Attitude Scale, Writing Motivation Scale, Analytical Rubric for Assessing Writing, interview forms, educational games and action plans. The qualitative and quantitative data were analyzed using a series of data analysis techniques. The quantitative results showed that the participants’ post-test mean scores in such dimensions of the use of educational games as attitude, motivation and writing skill development in the writing teaching process were higher than their pre-test mean scores. The qualitative results revealed that the educational games could be used as an effective technique in teaching writing in terms of developing participants’ positive attitudes towards writing, increasing their motivation, improving their writing skills and eliminating writing problems. Based on the results, it could be stated that different techniques such as educational games should take place more in the process by considering the affective factors in teaching writing.
Tradition of Pacu Jalur in Kuantan Singingi

Kuantan Singingi is one of the regencies in Riau province. It is rich in cultural arts, languages, customs, traditions, etc. One of them is the tradition of pacu jalur in Kuantan Singingi (a.k.a Rantau Kuantan). This tradition has existed for a long time and it is still exist until now due to the community of Kuantan Singingi still preserve it. As the result, the tradition of pacu jalur has a very high cultural values. Pacu jalur is a rowing regatta with traditional long boat typical of Kuantan Singingi (Kuansing). It held every year to celebrate the Independence day of Republic Indonesia and also includes traditional ceremonies typical of Kuansing. Pacu Jalur festival is a traditional festival emerged from a rich history of Kuantan Singingi and has survived various iterations for more than a century. The purpose of this study is to describe the tradition of Pacu Jalur in Kuantan Singingi, from the history of Pacu Jalur to the celebration of Pacu Jalur Festival, so that the outside community will know more about this tradition. Descriptive qualitative methods were used in this study. Observation, interview, and documentation were used to collect data. From this study, it can be concluded that there is a need to study revitalization of pacu jalur with the result whole processes, activities and arts related to pacu jalur activities are documented and are copyrighted as the tradition of Kuantan Singingi community, because this tradition is the great pride for them.
Caring to Work or Working to Care

We seek to understand how the labor market decisions of the family adjust in response to plausibly exogenous health shocks. Family members might work less to provide caregiving, or work more in response to medical expenditures and loss of income by the ill individual. We use records of emergency department (ED) visits and hospitalizations to empirically determine the size of these effects. Using ED events, we find evidence of intra-family insurance. By exploring how insurance varies by the severity of the health shock, we find that family labor supply responses decrease as the caregiving need increases.
Prognostic Modeling of Lung Adenocarcinoma Based on Hypoxia and Ferroptosis-Related Genes

Background It is well known that hypoxia and ferroptosis are intimately connected with tumor development. The purpose of this investigation was to identify whether they have a prognostic signature. To this end, genes related to hypoxia and ferroptosis scores were investigated using bioinformatics analysis to stratify the risk of lung adenocarcinoma. Methods Hypoxia and ferroptosis scores were estimated using The Cancer Genome Atlas (TCGA) database-derived cohort transcriptome profiles via the single sample gene set enrichment analysis (ssGSEA) algorithm. The candidate genes associated with hypoxia and ferroptosis scores were identified using weighted correlation network analysis (WGCNA) and differential expression analysis. The prognostic genes in this study were discovered using the Cox regression (CR) model in conjunction with the LASSO method, which was then utilized to create a prognostic signature. The efficacy, accuracy, and clinical value of the prognostic model were evaluated using an independent validation cohort, Receiver Operator Characteristic (ROC) curve, and nomogram. The analysis of function and immune cell infiltration was also carried out. Results Here, we appraised 152 candidate genes expressed not the same, which were related to hypoxia and ferroptosis for prognostic modeling in The Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) cohort, and these genes were further validated in the GSE31210 cohort. We found that the 14-gene-based prognostic model, utilizing MAPK4, TNS4, WFDC2, FSTL3, ITGA2, KLK11, PHLDB2, VGLL3, SNX30, KCNQ3, SMAD9, ANGPTL4, LAMA3, and STK32A, performed well in predicting the prognosis in lung adenocarcinoma. ROC and nomogram analyses showed that risk scores based on prognostic signatures provided desirable predictive accuracy and clinical utility. Moreover, gene set variance analysis showed differential enrichment of 33 hallmark gene sets between different risk groups. Additionally, our results indicated that a higher risk score will lead to more fibroblasts and activated CD4 T cells but fewer myeloid dendritic cells, endothelial cells, eosinophils, immature dendritic cells, and neutrophils. Conclusion Our research found a 14-gene signature and established a nomogram that accurately predicted the prognosis in patients with lung adenocarcinoma. Clinical decision-making and therapeutic customization may benefit from these results, which may serve as a valuable reference in the future.
Quantum-electrodynamic effects inside a charged black hole and the problem of Cauchy horizons

The evolution of the space-time metric and physical fields inside a charged black hole is considered with allowance for the quantum-electrodynamic production of electron-positron pairs in a strong electric field. A consistent treatment of the processes leads to the conclusion that inside the black hole there is no nonsingular Cauchy horizon (in contrast to the classical unperturbed Reissner-Nordstroem solution), and the structure of space-time is analogous to the structure of an uncharged (Schwarzschild) black hole.