Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on Adolescents Prejudice and Discrimination against Depression Based on Conformity Behaviour

Teens' perceptions of depression have been shaped negatively by conformity. In order to reduce stigma and other negative perceptions of depression among adolescents, an impact analysis is conducted from the perspective of conformity. This study is aimed to propose ways addressing this problem. A basic definition of conformity and depression is given by summarising research. It then tells the current attitude of young people towards depression, analysing the reasons why teenagers have the attitude by combining these phenomena with conformity. Corresponding advice is given to social departments and adolescents themselves to reduce the negative awareness about depression in teenagers.
Roof Water Damage Prediction and Evaluation of Sand-Mud Sedimentary Tectonic Strata

The prediction and control of roof water disaster has been one of the key problems in the mining process of coal resources. With the increase of mining depth in the western mining area, the roof caving and communicating to the overlying water-bearing strata have led to an increasing number of roof water inrush accidents and deterioration of production environment of the working face. Aiming at the problem of roof water disaster prediction of sandy-argillaceous structural strata in Shanghaimiao mining area in China, firstly, the mechanical structure model of roof water inrush was built according to the parameters in the advance of the working face, and the thickness of the sandstone was used as the main controlling geological factor; the formula was derived for calculating the water-rich intensity F zh of the overlying strata in the mining area. Secondly, starting from the height of the “Breakage-arch” development disturbance by combining the mechanical structure model of roof water inrush, the relative positional relation of the “Breakage-arch” and the water-bearing strata was analyzed, and a new method for judging the risk coefficient T W of roof water inrush was proposed. Finally, according to the geological drilling histogram and the field conditions of #111084 working face of the no. 1 mine in Shanghaimiao mine area, the water-rich index and water inrush risk coefficient of overlying water-bearing strata were obtained by means of discriminant analysis, and the water inrush risk of #111084 working face was evaluated and predicted quantitatively. The water-rich property evaluation of water-bearing strata under the condition of low degree of hydrogeological exploration was evaluated accurately and reasonably, and a new evaluation method of the water disaster during mining was proposed.
Pragmatic Analysis of the US Ambassadress’s Political Discourse to the United Nations General Assembly

The fact cannot be denied that how a single reality that is the supremacy of America, still continues its pace over the world. Also, American ideals are vastly universal and vaguely used in the political discourses to legitimize its political mission. Qualitative mode of inquiry has been employed to assess the speech and for this, Speech Act theory of Austin (1962) and Searle (1969) has been used as a framework. The tabular presentation of the speech analysis has shown the relative percentages and frequencies of the speech acts employed by the U.S Ambassadress. The result is quite interesting to note that only three speech acts namely expressive, assertive and commissive have been employed by the U.S Ambassadress in her political discourse in order to manipulate the audience. Further, this study exhibits that as always American ideals that is American Dream and American Exceptionalism are propagated through the political discourse and implanted covertly in people’s mind to win their consensus so they accept Jerusalem as Israel’s capital city.
Association between Chronic Kidney Disease and Sudden Sensorineural Hearing Loss: A Longitudinal Follow-Up Studies Using ICD-10 Codes in a National Health Screening Cohort

This study aims to investigate the association between chronic kidney disease (CKD) and sudden sensorineural hearing loss (SSNHL) using a population-based cohort study. We used data from the Korean National Health Insurance Service–Health Screening Cohort. Participants were selected based on diagnosis and treatment codes, and CKD participants were 1:4 matched with control participants. Covariates, including demographic and lifestyle factors, and comorbidities were considered in the analysis. We calculated the incidence rate and hazards ratio of SSNHL. A total of 16,713 CKD participants and 66,852 matched controls were enrolled. The CKD group had a higher incidence rate of SSNHL compared to the control group at 2.16 and 1.74 per 1000 person-years, respectively. The CKD group exhibited a higher risk for SSNHL compared to the control group with adjusted HR 1.21. In the subgroup analysis, the presence of cardiovascular risk factors was associated with a diminished effect of CKD on the risk of developing SSNHL. This study provides strong evidence of an association between CKD per se and an increased risk of SSNHL even after adjusting for various demographic and comorbidity factors. The findings suggest that CKD patients may require more comprehensive monitoring for hearing loss.
DEVELOPING AND EVALUATING NEW ALTERNATIVES FOR URBAN MOBILITY: A CASE STUDY OF A BRAZILIAN CITY

Mobility and urban planning are challenging tasks for public authorities, especially in densely populated cities. The city of Olinda, Pernambuco-Brazil, faces problems in traffic and access to places, making it necessary to identify new alternatives to improve urban mobility in Olinda. This study presents a decision support model to develop and evaluate new alternatives to do so. In the decision frontend, Value-Focused Thinking was applied to identify objectives and their respective attributes, and to create alternatives based on these objectives. As a result, 69 alternatives were generated, concatenated into 48, and categorized into four groups. Group 1 and Group 2 comprise 30 alternatives that serve the city’s north side; however, they attend to the neighborhoods separately. Group 3 comprises 11 alternatives routes that serve the two areas together, this being the focus of this study, and Group four consists of 7 short-term alternatives. In the decision backend, the FITradeoff for ranking problematic method was applied to evaluate the 11 alternatives of Group 3. The study showed that it would be possible to improve mobility more urgently by making a few improvements to the itinerary on the existing routes. Therefore, the study discusses the possibility of starting to make progress in the urban system of the city by using fewer complex alternatives compared to setting up new routes.
Simulation of Interface Cracking in Piezoelectric Layers

As a recently developed numerical analysis method based on moving least square (MLS) interpolation, the element free Galerkin method (EFG) is one of the promising methods because it does not require any element connectivity data and does not suffer much degradation in accuracy when nodal arrangements are very irregular. In EFG, the control equation can be obtained by means of the weak variation of energy function and the shape function formulated through MLS requires only nodal information. Therefore, it is advantageous to employ mesh-free method in the fields where re-meshing is inevitable, such as crack propagation, high velocity impact and so on. In this investigation, based on the developed electromechanical EFG method, several coupled mechanical and electrical problems are studied numerically. One is the infinite plate material with a cavity, and the other is interface cracking in bipiezoelectric materials. In these examples, the effect of material parameters and ratio of mechanical loading to electrical loading are examined.
13C CPMAS NMR as an Alternative Method to Verify the Quality of Dietary Supplements Containing Curcumin

Turmeric is a traditional Indian spice that has recently become very popular worldwide because it contains a powerful ingredient called curcumin, which has strong anti-inflammatory properties. Hence, dietary supplements containing extracts rich in curcumin have gained great popularity. The main problems related to curcumin-containing dietary supplements are poor water solubility and the fact that they are often faked by using synthetic curcumin instead of the plant extract. In this article, we propose the use of the 13C CPMAS NMR method to control the quality of dietary supplements. The analysis of 13C CPMAS NMR spectra supported by GIPAW computations allowed us to identify a polymorphic form present in dietary supplements (which affected the solubility of curcumin) and to point out a dietary supplement that could be faked by using synthetic curcumin. Further PXRD and HPLC investigations confirmed that the examined supplement contained synthetic curcumin instead of the genuine extract. Our method can be used for routine control, especially because the investigation is performed directly from the capsule/tablet content and does not require any special sample preparation.
Simulation of inertia-gravity waves using WRF model over Iran: a case study

رد نيا ،شهوژپ ديلوت و راشتنا جاوما ينارگ يور يتخل هقطنم ناريا دروم يسررب رارق يم دريگ . نيدب يگژيو جارختسا يارب روظنم ياه جوم ينارگ يتخل خيرات رد هدش هدهاشم 7 ات 9 هيروف 2012 ) 18 ات 20 نمهب 1390 ( رتشيب رد بسانم فرب و ناراب شراب اب هارمه هك دوب روشك ياهرهش نايم لدم زا هدافتسا اب و طسوتم كيكفت اب هكبش كي رد دادخر نيا ، سايقم WRF هيبش تسا هدش يزاس . نيا رد هيبش ييارگاو ناديم ،يزاس يقفا رد مكح يم رارق هجوت دروم يلصا تيمك دريگ ، نايم دادخر رب هنيمز نايرج رثا اريز هديدان ار سايقم يم دريگ جوم لوط همه هرتسگ يارب و دراد دربراك اه . ريداقم دروآرب لوط تعرس و زاف يدنت ،يتاذ هرود و دماسب ،يقفا و مئاق جوم ناشن جاوما هورگ هدنهد نايم جاوما دوجو دماسب اب سايقم دايز يقفا جوم لوط اب هك تسا 150 ات 175 يحاون رد رتموليك لامش و برغ ،يبونج و يزكرم سرگاز يقفا جوم لوط و 100 ات 120 هيحان رد رتموليك و زربلا يقلات سرگاز رشتنم يم دنوش . يياسانش فده اب همشچ تكرش يژرنا ياه ،راشتنا نيا رد هدننك هرهب اب تيلباق زا يريگ لدم ياه WRF يارجا راهچ ، توافتم فذح طيارش تحت فذح ،تبوطر فذح ،يراسهوك مه نامز لماك كيزيف اب ارجا و يراسهوك و تبوطر هلئسم يم تروص دريگ . و تبوطر نودب يارجا رد دنلب جاوما يراسهوك ينارگ يتخل يم هدهاشم دنوش . تبوطر روضح رد دوجو اب ، دروخزاب تبثم ي هك هخرچ و تفرمه يزاساهر نيب يم مشچ هب يتج نايرج دروخ ، يمن هب تفرمه تفگ ناوت هار رد ميقتسم روط دراد شقن جوم يزادنا . ،يراسهوك لامعا رد اما يگژيو نانچنآ راشتنا تهج و هنماد ات تدش زا جوم ياه تحت ريثات يم رارق هك دريگ رد تياهن هتسجرب شقن هتشر هوك سرگاز رد نامزاس جوم راشتنا يهد ينارگ يتخل دروم يسررب يم راكشآ ار دنك .
Signal Novelty Detection as an Intrinsic Reward for Robotics

In advanced robot control, reinforcement learning is a common technique used to transform sensor data into signals for actuators, based on feedback from the robot’s environment. However, the feedback or reward is typically sparse, as it is provided mainly after the task’s completion or failure, leading to slow convergence. Additional intrinsic rewards based on the state visitation frequency can provide more feedback. In this study, an Autoencoder deep learning neural network was utilized as novelty detection for intrinsic rewards to guide the search process through a state space. The neural network processed signals from various types of sensors simultaneously. It was tested on simulated robotic agents in a benchmark set of classic control OpenAI Gym test environments (including Mountain Car, Acrobot, CartPole, and LunarLander), achieving more efficient and accurate robot control in three of the four tasks (with only slight degradation in the Lunar Lander task) when purely intrinsic rewards were used compared to standard extrinsic rewards. By incorporating autoencoder-based intrinsic rewards, robots could potentially become more dependable in autonomous operations like space or underwater exploration or during natural disaster response. This is because the system could better adapt to changing environments or unexpected situations.
Optimization of Ultrasonic-Assisted Extraction of α-Glucosidase Inhibitors from Dryopteris crassirhizoma Using Artificial Neural Network and Response Surface Methodology

Dryopteris crassirhizoma Nakai is a plant with significant medicinal properties, such as anticancer, antioxidant, and anti-inflammatory activities, making it an attractive research target. Our study describes the isolation of major metabolites from D. crassirhizoma, and their inhibitory activities on α-glucosidase were evaluated for the first time. The results revealed that nortrisflavaspidic acid ABB (2) is the most potent α-glucosidase inhibitor, with an IC50 of 34.0 ± 0.14 μM. In addition, artificial neural network (ANN) and response surface methodology (RSM) were used in this study to optimize the extraction conditions and evaluate the independent and interactive effects of ultrasonic-assisted extraction parameters. The optimal extraction conditions are extraction time of 103.03 min, sonication power of 342.69 W, and solvent-to-material ratio of 94.00 mL/g. The agreement between the predicted models of ANN and RSM and the experimental values was notably high, with a percentage of 97.51% and 97.15%, respectively, indicating that both models have the potential to be utilized for optimizing the industrial extraction process of active metabolites from D. crassirhizoma. Our results could provide relevant information for producing high-quality extracts from D. crassirhizoma for functional foods, nutraceuticals, and pharmaceutical industries.
NT-proBNP Levels and Collateral Circulation Status in Patients with Acute Ischemic Stroke

Methods In this study, 326 hospitalized patients with acute anterior circulation ischemic stroke (AACIS) were included. A comparison of the clinical characteristics of those with and without AF was conducted. The Spearman rank correlation was used for the correlation analysis of plasma NT-proBNP level, regional leptomeningeal collateral (rLMC) score, and computed tomography perfusion (CTP) status in the AF and non-AF groups. An analysis of multivariate linear regression was used to determine how plasma NT-proBNP level, rLMC score, and CTP status influenced the score on the NIHSS. Results There was a greater plasma NT-proBNP level in the AF group compared with the non-AF group, an increased CTP volume (including CTP ischemic volume, CTP infarct core volume, and CTP ischemic penumbra volume (P = 0.002)), higher NIHSS score on admission, and lower rLMC score (P < 0.001 for the remaining parameters). A negative correlation exists between plasma NT-proBNP level and rLMC score (r = −0.156, P = 0.022), but a positive correlation exists between plasma NT-proBNP level and both CTP ischemic volume and CTP infarct core volume (r = 0.148, P = 0.003) in the AF group, but not in the non-AF group. Multivariate linear regression analysis demonstrated that NT-proBNP, CTP ischemic penumbra volume, and rLMC score were associated with NIHSS score, and NT-proBNP was positively associated with NIHSS scores (95% confidence interval (CI), 0.000-0.002; P = 0.004) in the AF group, whatever in the unadjusted model or adjusted models, but not in the nonlarge artery atherosclerosis (LAA) group. Conclusion In AACIS patients with AF, NT-proBNP level negatively correlated with collateral status, positively with CTP ischemic volume, and positively with NIHSS score.
Pulmonary Application of Novel Antigen-Loaded Chitosan Nano-Particles Co-Administered with the Mucosal Adjuvant C-Di-AMP Resulted in Enhanced Immune Stimulation and Dose Sparing Capacity

The most successful medical intervention for preventing infectious diseases is still vaccination. This effective strategy has resulted in decreased mortality and extended life expectancy. However, there is still a critical need for novel vaccination strategies and vaccines. Antigen cargo delivery by nanoparticle-based carriers could promote superior protection against constantly emerging viruses and subsequent diseases. This should be sustained by the induction of vigorous cellular and humoral immunity, capable of acting both at the systemic and mucosal levels. Induction of antigen-specific responses at the portal of entry of pathogens is considered an important scientific challenge. Chitosan, which is widely regarded as a biodegradable, biocompatible and non-toxic material for functionalized nanocarriers, as well as having adjuvant activity, enables antigen administration via less-invasive mucosal routes such as sublingual or pulmonic application route. In this proof of principle study, we evaluate the efficacy of chitosan nanocarriers loaded with the model antigen Ovalbumin (OVA) co-administrated with the STING agonist bis-(3′,5′)-cyclic dimeric adenosine monophosphate (c-di-AMP) given by pulmonary route. Here, BALB/c mice were immunized with four doses of the formulation that stimulates enhanced antigen-specific IgG titers in sera. In addition, this vaccine formulation also promotes a strong Th1/Th17 response characterized by high secretion of IFN-γ, IL-2 and IL-17, as well as induction of CD8+ T cells. Furthermore, the novel formulation exhibited strong dose-sparing capacity, enabling a 90% reduction of the antigen concentration. Altogether, our results suggest that chitosan nanocarriers, in combination with the mucosal adjuvant c-di-AMP, are a promising technology platform for the development of innovative mucosal vaccines against respiratory pathogens (e.g., Influenza or RSV) or for therapeutic vaccines.
Fast Signal Reconstruction from Modulus Maxima Based on Anti-Symmetrical Biorthogonal Wavelets

The signal is done un-decimated wavelet transform using Anti-Symmetrical Biorthogonal Wavelets (ASBW). Because of the ASBW's approximate derivative property, the local maxima of the wavelet decomposition coefficients can be obtained, which is the corresponding edge of the signal at every scale. Only keeping the local maxima, the Gaussian function is used to fit the wavelet coefficients directly, then inverse wavelet translation is used to reconstruct signal. Numerical results show that the reconstruction algorithm is much faster than the dyadic
Ice Loads on a Lattice Tower Estimated by Weather Station Data

Atmospheric ice loads are a major design criterion of tall structures in cold regions. In this paper the possibility to derive the design ice loads using analysis of meteorological observations made routinely at a weather station is studied. Ice loads calculated by extrapolating weather station data and using simplistic ice loading and unloading models are compared with those measured on a 323-m-height lattice TV tower. The comparison is made cumulatively in 3-h intervals over seven winter periods. The results show reasonable agreement in the time of the icing events and in overall loads. In the cases where the cumulative ice loads differ, the discrepancies are mostly due to incorrectly predicted unloading events. This study points out the importance of on-site temperature data for successfully estimating cumulative ice loads over long cold periods.
On the interaction of sublimating gas with cometary bodies

Steckloff, Jordan K. Ph.D., Purdue University, December 2015. On the Interaction of Sublimating Gas with Cometary Bodies. Major Professor: H. Jay Melosh Sublimation of volatiles is a defining process of comet nuclei, and profoundly affects their dynamics, structure, and appearance. Central to understanding the processes by which comets formed and subsequently evolved is a careful computation of this sublimation pressure as a function of heliocentric distance. Unlike previous efforts, I develop a thermodynamic method to numerically compute the sublimation pressure of any species from limited knowledge of its physical properties. I then describe a novel cometary disruption mechanism in which this sublimation pressure induces differential stresses within the body of the nucleus that exceed its material strength, resulting in structural failure and breakup of the nucleus. I show that this mechanism is consistent with the behavior of Comet ISON (C/2012 S1), and use it to estimate the cohesive strength of ISON’s nucleus, a first for a Long-Period Comet. Sublimating volatiles can also generate sublimative torques that alter the rotation state of the nucleus. However, computing these torques requires high-resolution information on the shape and activity of the nucleus, which is available only for the few nuclei visited by spacecraft. To remedy this, I develop a novel framework based on the
ADAPTED QUADRATIC APPROXIMATION FOR SINGULAR INTEGRALS

The goal of this work is to present an adapted modification to the parabolic approxi- mation of the density function for singular integrals of Cauchy type. This approximation serves to eliminate the singularity of the integral and gives the help to obtain the numerical solution of singular integral equations with Cauchy type kernel on an oriented smooth contour.
Knowledge discovery in design instances of mechanical structure symmetry

Structure symmetry is a common phenomenon with a significant effect on mechanical systems. In this article, the technology of knowledge discovery was adopted to mine association rules from the database of mechanical structure symmetry design instances, and design knowledge of structure symmetry was built to guide the application of structure symmetry in mechanical design. The process of the knowledge discovery in design instances mainly includes the following steps. First, more than 1000 design instances were collected. Three standardized systems, including structure symmetry system, design requirement system, and structure design principle system, were built. Then the design instances were analyzed based on the three standardized systems. Second, a physical database was designed, and the information of design instances was stored in the database. Third, the association rules among structure symmetry, design requirement, and structure design principle were mined using association rule mining algorithm. Finally, the design knowledge of structure symmetry in realizing design requirements was proposed by analyzing mining results and relevant instances. The proposed design knowledge can lead to the application of structure symmetry and help to improve the technical, economic, and social performance of the mechanical products.
Association between religion, mental health and social distancing during the COVID-19 pandemic

Abstract This cross-sectional study aimed to analyze the association of religiosity with behaviors and perceptions in the context of social distancing measures during the COVID-19 pandemic, as well as mental health outcomes, in a university community in Central-West Brazil. A sample of 1,796 subjects responded to an online form with socio-demographic questions and the DASS-21 and PWBS scales. Religion was associated with the frequency of interactions, perceptions of the duration of the social distancing measures, changes in emotional state and history of psychological illness. The prevalence of symptoms of depression, anxiety and stress was lower among people with religion and their scores in psychological well-being were higher.
On Fuzzy-Mathematical Programming

In problems of system analysis, it is customary to treat imprecision by the use of probability theory. It is becoming increasingly clear, however, that in the case of many real world problems involving large scale systems such as economic systems, social systems, mass service systems, etc., the major source of imprecision should more properly be labeled ‘fuzziness’ rather than ‘randomness. ’ By fuzziness, we mean the type of imprecision which is associated with the lack of sharp transition from membership to nonmembership, as in tall men, small numbers, likely events, etc. In this paper our main concern is with the application of the theory of fuzzy sets to decision problems involving fuzzy goals and strategies, etc., as defined by R. E. Bellman and L. A. Zadeh [1]. However, in our approach, the emphasis is on mathematical programming and the use of the concept of a level set to extend some of the classical results to problems involving fuzzy constraints and objective functions.