Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Blood Heavy Metal Levels and Renal Function in Korean Adults

This study aimed to investigate the association between the levels of lead, mercury, cadmium, and nickel in the blood and renal function and to provide basic data for the development of health programs for the prevention of renal failure. This study included 1984 participants aged 19 and older who participated in the Korean National Health and Nutrition Examination Survey from 2019. Differences in values according to general characteristics and the estimated glomerular filtration rate (eGFR) stage were analyzed using a chi-square test, t-test, ANOVA, and the influencing factors were analyzed through multiple regression analysis. The concentrations of lead, mercury, cadmium, and nickel, and the risk of elevated eGFR were analyzed using linear regression. The correlation between the variables was determined using Pearson’s correlation analysis. Analysis of the correlation between blood lead, mercury, cadmium, and nickel levels and blood eGFR levels revealed that blood eGFR levels were significantly negatively correlated with blood lead, cadmium, and nickel levels (p ≤ 0.001). This study is significant in that it found a significant association between decreased eGFR and heavy metal levels and provided meaningful basic data on the association between heavy metals and renal function.
Online Cognitive Behavior Therapy for Two College Students With Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent disorder among college students. Although there is growing literature supporting the effectiveness of cognitive behavioral therapy (CBT) for this population, no previous study has investigated the feasibility of it being delivered online. In addition, recent evidence suggests that online therapy could be possible for other diagnoses such as depression, anxiety, or health-related disorders. Therefore, research in this area could be critical, as online settings could also improve accessibility to evidence-based interventions for college students with ADHD. This study describes the implementation of CBT for ADHD intervention delivered online for two college students with this diagnosis. We found improvements in both self-reported and clinician-assessed outcomes, in measuring ADHD-related behaviors, executive functioning, emotional comorbidities, and quality of life. These changes were more evident in the case that was more severe at pre-treatment, and were maintained at a 6-month follow-up; even further improvements in self-reported quality of life were observed. These findings support the potential feasibility and clinical utility of online CBT in this population.
Development of bio-inspired distributed pressure sensor arrays for hydrodynamic sensing applications

The performance of marine vehicles is largely influenced by interactions with the flow around their hull, both self-generated and environmentally driven. To improve performance through flow control, a detailed, real-time measurement of the near-field flow is necessary, yet such sensing capability is presently unavailable. Looking to nature for inspiration, fish employ the distributed pressure and velocity sensing capability of their lateral line sensory organ to mediate navigation and control behaviors that, if replicated, could benefit engineered systems. Through a series of towing tank and field experiments, it was found that while distributed pressure measurements on marine vehicles enabled the detection of near-body flow phenomena, the size, cost, and mounting requirements of commercial sensors lead to sparse arrays and substantial gaps in the characterization of the flow field. To address the challenges associated with obtaining spatially-dense pressure measurements on curved surfaces in marine environments, a new waterproof and conformal pressure sensor array was developed based on a closed-cell piezoresistive foam composed of carbon black-doped-silicone composite (CBPDMS foam). The response of the CBPDMS foam sensor arrays was characterized using periodic hydrodynamic pressure stimuli from vertical plunging and water waves, and a piecewise polynomial calibration was developed to describe the sensor response. The sensitivity and frequency response of the sensor arrays was also documented through a series of biologically-inspired hydrodynamic stimuli, including the flow from a dipole source, and the Karmin vortical wake flow behind a circular cylinder. The CBPDMS foam sensor arrays have significant advantages over existing commercial sensors for distributed flow reconstruction and control. They are found to have sensitivity on the order of 5 Pascal, frequency range of 0.5-35 Hertz, are contained in a waterproof and completely flexible package, and have material cost less than $10 per sensor. Thesis Supervisor: Michael Triantafyllou Title: William I. Koch Professor of Marine Technology
The Anxiolytic-like Properties of a Tryptic Hydrolysate of Bovine αs1 Casein Containing α-Casozepine Rely on GABAA Receptor Benzodiazepine Binding Sites but Not the Vagus Nerve

(1) Background: A tryptic hydrolysate of bovine αs1-casein (CH) exerts anxiolytic-like properties in many species, including humans. This is mainly related to the presence of α-casozepine (α-CZP), which yields these properties in rodents. This study evaluates, in a rat model, the roles of the vagus nerve and the benzodiazepine binding site of GABAA receptors in the mode of action of CH. (2) Methods: The conditioned defensive burying test was used to evaluate anxiety. (3) Results: Participation of the vagus nerve in the mode of action of CH was excluded, as the global anxiety score in vagotomised rats was not significantly different from that of non-vagotomised animals. The blocking of the binding sites of benzodiazepines with flumazenil antagonised CH anxiolytic-like properties. (4) Conclusions: The vagus nerve does not play a role in the anxiolytic-like properties of CH. On the other hand, this anxiolytic-like activity relies on the benzodiazepine binding site of the GABAA receptors. This result is consistent with previous in vitro studies and, more specifically with the discovery of α-CZP, the peptide responsible for the anxiolytic-like properties of CH.
P. Biagi - Uneasy Riders: With Alexander and Nearchus from Pattala to Rhambakia

The scope of this paper is to interpret the road followed by Alexander and Nearchus on their way back to Babylon from the Indus delta to the country of the fi sh-eaters (Gedrosia). To achieve this goal both classical sources and personal fi eldwork experience in Lower Sindh and Las Bela province of Balochistan were taken into consideration. Given the absence of archaeological fi nds attributable to the Hellenistic period, the unreliability of most of the classical chronicles that were written centuries after the death of Alexander, the landscape changes that aff ected the aforementioned territories during the last two millennia, and the controversial results obtained by fi eldwork by British offi cers and geographers during the period of their conquest of the region, our data on the Macedonian retreat from the country is very poor. Nevertheless, just a few topics can be reinterpreted on the basis of the fi eld evidence acquired during the last 10 years. They regard the way, and the speed Nearchus moved from the mouth of the Indus to Las Bela, and a few data regarding the way Alexander crossed the Hab river, and probably camped along the shores of present-day Lake Siranda. Riassunto: Lo scopo del presente lavoro è di interpretare il percorse seguito da Alessandro e Nearco durante la loro ritirata verso Babilonia, dal delta del’Indo al paese degli Ittiofagi. Sono state prese in considerazione sia le fonti classiche, sia i risultati acquisiti durante gli ultimi 10 anni di ricerche archeologiche nel Sindh meridionale e nella provincia di Las Bela (Balochistan). In seguito alla mancanza di resti archeologici attribuibili al periodo ellenistico, alla scarsa credibilità delle fonti classiche, redatte secoli dopo la scomparsa di Alessandro, i notevoli cambiamenti della geografi a dei territori attraversati dai Macedoni negli ultimi 2000 anni, e i risultati controversi delle ricerche eseguite da uffi ciali e geografi britannici durante l’Impero, le nostre conoscenze del problema sono in realtà molto limitate. Nonostante ciò, le prospezioni condotte degli ultimi 10 anni hanno portato ad alcuni interessanti risultati
Vocational High School Students' Mathematical Problem-Solving Ability Viewed from Self Confidence

Problem-solving ability is an essential cognitive aspect of Mathematics. One aspect of improving problem-solving is self-confidence. This study describes the mathematical problem-solving ability regarding the self-confidence of 34 students of class X TKRO 2 SMK Wiworotomo Purwokerto for the academic year 2019/2020. The method used is a descriptive qualitative, quantitative approach. The assessment instruments used include tests and self-confidence questionnaires. Students are grouped into low, medium, and high categories based on a self-confidence questionnaire. Each class was sampled using the purposive sampling technique. Data analysis includes reduction, presentation, and conclusion. The results obtained are high self-confidence, and students have good mathematical problem-solving skills, meaning that they fulfill all aspects of problem-solving. Students with medium self-confidence have good problem-solving skills but cannot provide conclusions at the end of the answer. Meanwhile, low self-confidence is not able to achieve indicators of problem-solving abilities. In addition, self-confidence and problem-solving ability have a positive correlation.
The Causal Effect of Growing up in a Two-Parent Household on Child’s Adult Earnings

The children who grew up in two-parent households for their entire childhood earn more than the other children reared in non-intact parental families. The causal effect of growing up in a twoparent household on the child’s adult earnings is the hourly earnings difference between the children who grew up in intact families and their counterparts raised by parents who have ever divorced, separated, or widowed, holding relevant factors constant and accounting for endogeneity issues. I identify the causal effect by using the following specification strategies. First, I control the parental income and educational attainment, along with the child’s demographic characteristics (gender, age, race, region, and tenure), to disentangle the childhood family intactness effect from the other parental influence. Second, I take into account the unobserved clan-specific heterogeneity, such as family traditions and genetic characteristics, by fitting the clan fixed effects (FE) models. Third, I use two instrumental variables (IVs), the state divorce rate and the no-fault divorce law effectiveness, for the endogenous childhood family structure and adopt the two-stage least squares (2SLS) approach to further alleviate the omitted variable bias. The estimates are around 0.16, suggesting that the children who grew up in a twoparent household earn about 16% more in adulthood than their counterparts from non-intact families, other things equal. The effect goes through three channels. The child’s education, health, and marital behavior are the mediator variables representing the three observable channels through which childhood family intactness affects the child’s adult earnings. The effect of growing up in a two-parent family on the child’s adult earnings varies with parental income and education. The effect is larger and more significant for sons than for daughters. The heterogeneous pattern of the effect is consistent with the parental utility maximization model’s predictions. Growing up in a two-parent household not only has a positive and significant effect on the child’s adult earnings in absolute values, but it also encourages intergenerational relativeearnings improvement. An intact childhood family lowers the probability of the intergenerational relative-earnings worsening by 6.72% and increases the probability of the intergenerational relative-earnings improvement by 6.67%.
Dual Material Gate Junctionless Field Effect Transistor for Biosensing Application

In this work, we demonstrated the design and simulation of charge plasma based Dual Material Gate Dielectrically Modulated Junctionless Field Effect Transistor (DMG-DM-JLFET) and modifying the transistor device to be operated as a label-free biosensor. The conventional materials such as Silicon and SiO2 are swapped for GaAs block and HfO2. The gate region of the proposed device was designed using Dual Material Gate technique which boosts the ON current as well as suppresses the leakage current. The charge plasma conception is adapted to scale back the issues of fabrication complexity, requiring high thermal budget and low sensitivity in detection. The gate underlap region i.e. cavity region is formed between gate oxide layer and gate region at the source side for holding biomolecules to be detected. The transfer characteristics were analyzed for various biomolecules and the sensitivity of the device was analyzed at different cavity lengths. This work shows a grossing value of ION/IOFF ratio value up to 1012 order of magnitude for bio-molecules holding higher dielectric constant values.
Analysis of Factors Affecting the Development Status of Toddlers in Simomulyo Health Center Surabaya

Background: Development is one of the important things for the future of a child. The most crucial development occurs during the first five years of a child's life, this time is often called the golden period. At this time all the development of children must be by their age so that in the future there are no developmental delays. A child's development can be influenced by several factors, both internal and external factors. Based on previous research as many as 5-10% of Indonesian children experience general developmental delays, so the development of Indonesian children still requires serious attention. Therefore, this study aims to analyze factors that affect the development status of toddlers. Method: This study is an observational analytical study using a cross-sectional approach. With a sample number of 100 toddlers in the working area of Simomulyo Health Center that meets the criteria of inclusion and uses consecutive sampling techniques. Independent variables in the study were birth weight, nutritional status of toddlers, parents' last education, economic status, history of disease in toddlers, and history of exclusive breast milk. While the dependent variable in this study is the status of development. The chi-square statistical test is used to determine the significant level of data obtained at the meaningful level of ? =0.05. Results: The results of the study found 90% experienced appropriate developmental status, 86% had normal nutritional status based on BB / U, 45% had normal nutritional status based on TB / U, 64% had normal nutritional status based on BB / TB, 82% of toddler parents had the last high education, 67% of toddlers have economic status ? UMR, 50% of toddlers have a history of pain ? 2 times sick and 56% of toddlers get exclusive breast milk ? 6 months. From the results of statistical tests chi-square obtained birth weight ? = 0.444 (? 0.05), nutritional status based on BB / U ? = 0.578 (? 0.05), nutritional status based on TB / U ? = 0.375 (? 0.05), nutritional status based on BB / TB ? = 0,706 (? 0.05), parental education ? =0.488 (? 0.05), economic status ? =0.103 (? 0.05), history of childhood disease ? =0.046 (? <0.05), exclusive breast milk history ? =0.002 (? <0.05). It means that there is no relationship between developmental status with birth weight, nutritional status, parents' last education, economic status. However, there is a relationship between developmental status and a history of toddler disease, and a history of exclusive breast milk. Conclusion: A toddler's history of disease and a history of exclusive breast milk have relationships that can affect a toddler's development.
Miracle Drug or Quack Remedy?
Unpacking the Effect of Central Environmental
Protection Inspection on Green Innovation

As an innovative regulation of environmental governance, the role of environmental protection inspection in green innovation has received limited attention. This paper adopted DID (difference-in-difference) model to address the effect of central environmental protection inspection (CEPI) and explored why and how the CEPI affects corporate green innovation. We further investigated the moderating roles of firm size and firm age as organisation-level factors. With a sample of China’s listed companies from 2014 to 2019, the empirical results show that the CEPI is significantly and positively associated with green innovation and that both firm size and firm age strengthen the positive effect of the CEPI on green innovation. We conducted PSM (propensity score matching) model to mitigate the endogenous problem and found our results are robust. This paper contributes to the literature about the CEPI and green innovation, and sheds light on environment policy enactment for the government.
An Extended State Space Model for Aggregation of Large-Scale EVs Considering Fast Charging

This article presents an extended state space model for aggregation of large-scale electric vehicles (EVs) for frequency regulation and peak load shaving in power systems. The proposed model systematically deals with the fast charging of EVs as an effective solution for immediate charging requirements. Furthermore, the proposed extended state space model increases the flexibility of the EV aggregator (EVA) by enabling the EVs to participate in ancillary services with both regular and fast charging/discharging rates. This will help the EVA to provide a prompt and efficient response to severe generation-consumption imbalances. A probabilistic control approach is developed which reduces the communication burden of the EVA. Furthermore, the uncertainties related to EV users' behavior are modeled in real-time. The simulations are conducted for a typical power system including a large population of EVs, a conventional generator (CG), and a wind generation system. It is shown that the proposed aggregation model can accurately describe the aggregated behavior of a large population of EVs enabling them to efficiently participate in frequency regulation and peak load shaving services. Finally, the performance of EVA is evaluated for different driving behaviors and state of charge (SOC) levels of the EV population.
EGFR Mutation Status and Subtypes Predicted by CT-Based 3D Radiomic Features in Lung Adenocarcinoma

Objective In this study, we aim to establish a non-invasive tool to predict epidermal growth factor receptor (EGFR) mutation status and subtypes based on radiomic features of computed tomography (CT). Methods A total of 233 lung adenocarcinoma patients were investigated and randomly divided into the training and test cohorts. In this study, 2300 radiomic features were extracted from original and filtered (Exponential, Laplacian of Gaussian, Logarithm, Gabor, Wavelet) CT images. The radiomic features were divided into four categories, including histogram, volumetric, morphologic, and texture features. An RF-BFE algorithm was developed to select the features for building the prediction models. Clinicopathological features (including age, gender, smoking status, TNM staging, maximum diameter, location, and growth pattern) were combined to establish an integrated model with radiomic features. ROC curve and AUC quantified the effectiveness of the predictor of EGFR mutation status and subtypes. Results A set of 10 features were selected to predict EGFR mutation status between EGFR mutant and wild type, while 9 selected features were used to predict mutation subtypes between exon 19 deletion and exon 21 L858R mutation. To predict the EGFR mutation status, the AUC of the training cohort was 0.778 and the AUC of the test cohort was 0.765. To predict the EGFR mutation subtypes, the AUC of training cohort was 0.725 and the AUC of test cohort was 0.657. The integrated model showed the most optimal predictive performance with EGFR mutation status (AUC = 0.870 and 0.759) and subtypes (AUC = 0.797 and 0.554) in the training and test cohorts. Conclusion CT-based radiomic features can extract information on tumor heterogeneity in lung adenocarcinoma. In addition, we have established a radiomic model and an integrated model to non-invasively predict the EGFR mutation status and subtypes of lung adenocarcinoma, which is conducive to saving clinical costs and guiding targeted therapy.
Effects of Saignée and Bentonite Treatment on Phenolic Compounds of Marquette Red Wines

To improve the phenolic extraction and color stability of red wine made from cold-hardy grapes, two winemaking practices, saignée and bentonite, were applied separately and in combination on Marquette grapes at crushing. The effects of these winemaking strategies on Marquette wine’s basic chemical properties, monomeric and polymeric phenolic compounds were studied, as well as the development of color characteristics from crushing to 5 months of aging. The saignée (9% juice run-off) treatment showed little impact on the phenolic content of the finished wine, but showed an increase in color intensity. A hue shift towards an orange-yellow tone was observed in the bentonite-treated wines, which was associated with a loss of monomeric anthocyanins. The combination of saignée and bentonite showed less impact on removing anthocyanins and wine color, and increased phenolics content, therefore improving the extraction of non-anthocyanins monomeric phenolics. Although this combination treatment led to the highest concentration of tannin content after pressing, this difference between the control and other treatments disappeared over time. These results suggested that the interactions between tannins and other wine compounds still occur after removing proteins in Marquette wines.
Persistent Activation of Autophagy After Cisplatin Nephrotoxicity Promotes Renal Fibrosis and Chronic Kidney Disease

Autophagy, a highly conserved catabolic pathway in eukaryotic cells, contributes to the maintenance of the homeostasis and function of the kidney. Upon acute kidney injury (AKI), autophagy is activated in renal tubular cells to act as an intrinsic protective mechanism. However, the role of autophagy in the development of chronic kidney pathologies including renal fibrosis after AKI remains unclear. In this study, we detected a persistent autophagy activation in mouse kidneys after nephrotoxicity of repeated low dose cisplatin (RLDC) treatment. 3-methyladenine (3-MA) and chloroquine (CQ), respective inhibitors of autophagy at the initiation and degradation stages, blocked autophagic flux and improved kidney repair in post-RLDC mice, as indicated by kidney weight, renal function, and less interstitial fibrosis. In vitro, RLDC induced a pro-fibrotic phenotype in renal tubular cells, including the production and secretion of pro-fibrotic cytokines. Notably, autophagy inhibitors blocked RLDC-induced secretion of pro-fibrotic cytokines in these cells. Together, the results indicate that persistent autophagy after AKI induces pro-fibrotic cytokines in renal tubular cells, promoting renal fibrosis and chronic kidney disease.