Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Coupled and Coordinated Development of New Urbanization and Ecological Environment

: With the acceleration of new urbanization construction, the contradiction between urbanization construction and ecological environment protection has become increasingly prominent, which directly affects regional coordinated development. The coupling system between urbanization and ecological environment is an important part of the regional system of human land relations. In the face of global scale remote connections, spatiotemporal compression, and socio-economic reconstruction in the new era, traditional research frameworks urgently need to be transformed and upgraded. Drawing on theories such as the regional system of human land relations, remote coupling, and planetary urbanization, starting from the perspective of complexity science, this paper first analyzes the connotation of the coupling system between urbanization and ecological environment. Then, from four dimensions of space, time, representation, and organization, an analytical framework is proposed to explain the coupling mechanism between urbanization and ecological environment - the "Coupling Cube (CHNC)", which discusses its concept, connotation Evolutionary law and analytical framework: the system and system, system and elements, and elements and elements in the Rubik's Cube are interconnected and interact through various "coupling lines" to form an organic whole nested, interconnected, and Unity of opposites; The rotation of the Rubik's Cube represents the spatiotemporal nonlinear coupling effect between urbanization and ecological environment in different regions.
Comportement et endommagement d'aciers sous sollicitations combinees de traction-torsion

Mise au point d'une machine de traction-torsion et developpement d'une analyse mecanique adaptee aux essais simultanes. Determination des relations contrainte-deformation pour plusieurs aciers, a partir des lois de houomon ou de ludwik mais en prenant en compte l'influence du trajet de deformation
Indian Paper Currency Recognition Framework for Blind and Visually Impaired People using Deep Learning Model

Currency recognition has always been a troublesome task for blind and visually impaired people (BVIP). Most of the current Indian legal tenders resemble in size, thus making the identification process more difficult. Automated paper currency recognition system, issues such as folded or partial views, uneven illumination, and background clutter make it non-trivial and challenging. This Paper proposes deep learning model for assisting BVIP in recognizing the Indian paper currency denomination. This Paper exploits the latent embeddings of variational auto encoders combined with IPCRNet. Two encoders are trained on currency images to generate two feature maps. The IPCRNet is based on dense connection, Multi-Dilation, and Depth-wise separable convolution layers. Contextual Block (CB) in the backend utilizing the dense connection and dilation scheme in depth-wise separable convolutional layers . The novel contextual part utilizes a depthwise separable convolution for reducing network computations . The multi-dilation scheme offers an enlarged receptive field without increasing the parameters.
The Road…Less Traveled: An Analysis of Vehicle Miles Traveled Trends in the U.S

This paper reports on a study analyzing changing driving patterns in the United States. The measurement used to determine driving patters was vehicle miles of travel, between 1991 and 2008. Results of the study include the following: 1. Vehicle miles of travel began to plateau in 2004, and decreased in 2007, for the first time since 1980. 2. Urban and rural vehicle miles of travel have been decreasing since 2007 and 2004, respectively, even though total driving in both urban and rural areas increased between 1991 and 2008. 3. The highest per person driving takes place in low density Southwestern and Southeastern metropolitan areas, even though total driving on main arterial highways is concentrated in the 100 largest metropolitan areas. 4. Passenger vehicles had the highest share of national travel, though all vehicle types increased driving from 1991 to 2006. 5. Driving in the Pacific, Great Lakes, and Northeastern states grew at a slower rate than driving in the Intermountain West and Southeastern states between 1991 and 2006.
Improving cancer prediction using feature selection in spark environment

Cancer prediction from microarray‐based gene expression data has been subject to much research in recent years. Because of its vast number of features and relatively smaller sample sizes, feature selection becomes necessary for improving classification performance. Additionally, the characteristics of this malignant condition may often vary, providing a significant amount of data that requires additional time and resources to process. This research work proposes an Apache Spark‐based feature selection for microarray cancer classification. The first aim is to select only the optimal and necessary features obtained by the feature selector(information gain [IG] and correlation‐based feature selection [CFS]). Secondly, employ a distributed framework and observe the efficiency of the different feature selectors for classification. Finally, we evaluated our approach in terms of accuracy, precision, recall and ROC (AUC) using three classifiers: support vector machine (SVM), naive Bayes (NB), and decision tree (DT). The results reveal that the NB classifier outperformed in all the cases with IG as a feature selector.
Emission Factors for Crop Residue and Prescribed Fires in the Eastern US During FIREX‐AQ

Agricultural and prescribed burning activities emit large amounts of trace gases and aerosols on regional to global scales. We present a compilation of emission factors (EFs) and emission ratios from the eastern portion of the Fire Influence on Regional to Global Environments and Air Quality (FIREX‐AQ) campaign in 2019 in the United States, which sampled burning of crop residues and other prescribed fire fuels. FIREX‐AQ provided comprehensive chemical characterization of 53 crop residue and 22 prescribed fires. Crop residues burned at different modified combustion efficiencies (MCE), with corn residue burning at higher MCE than other fuel types. Prescribed fires burned at lower MCE (<0.90) which is typical, while grasslands burned at lower MCE (0.90) than normally observed due to moist, green, growing season fuels. Most non‐methane volatile organic compounds (NMVOCs) were significantly anticorrelated with MCE except for ethanol and NMVOCs that were measured with less certainty. We identified 23 species where crop residue fires differed by more than 50% from prescribed fires at the same MCE. Crop residue EFs were greater for species related to agricultural chemical use and fuel composition as well as oxygenated NMVOCs possibly due to the presence of metals such as potassium. Prescribed EFs were greater for monoterpenes (5×). FIREX‐AQ crop residue average EFs generally agreed with the previous agricultural fire study in the US but had large disagreements with global compilations. FIREX‐AQ observations show the importance of regionally‐specific and fuel‐specific EFs as first steps to reduce uncertainty in modeling the air quality impacts of fire emissions.
PSYCHOLOGICAL WELL-BEING AND DIGITALIZATION OF EDUCATION

: Stress, worry, and depression—the three most common types of mental health issues among the general population—have become more prevalent as a result of the communicable COVID-19, which has precipitated an unrecoverable worldwide health disaster. The purpose of the current research is to comprehend the state of digital education in India and to address the mental health needs of students. It also aims to investigate how psychological well-being helps to address issues with students' mental health. The current study is qualitative, and it analysed several newspapers and important studies. The results demonstrated that the pandemic has accelerated the trend of digital learning. With programmes like Swayam Prabha, e-pathshala, VidyaDaan, SMILE, the central and state governments have developed numerous projects. It was further discovered that the learners psychological well-being offers a lot of promise for aiding them in coping with different mental health challenges. The development psychological well-being in students can be demonstrated as a preventative measure that enables them to engage online fully and contributes to the reduction of their mental health concerns.
Uncertainty Analysis of Evapotranspiration Estimates in Ecosystems

Many hydrologic models and agricultural management applications require evapotranspiration estimates. The intensity of evapotranspiration is mainly determined by mathematical models rather than by direct measurement. In addition to its own estimate of evapotranspiration it is necessary to determine the uncertainty of this estimate. This uncertainty is not usually mentioned. In this paper these formulas are derived for the uncertainty estimate of evapotranspiration under simplifying assumptions. These assumptions enabled one to derive an expression of evapotranspiration estimation uncertainty suitable for practical applications. The paper focuses on both the absolute and the relative uncertainty of evapotranspiration estimation. The derived formulas can be used for determining the uncertainty in evapotranspiration estimation, but as well as for the accuracy estimate which is necessary for the measuring of input variables. The derived relationship shows that the net radiation should be more accurately measured than the other energy fluxes that have an influence on evapotranspiration. It follows that the relative uncertainty of evapotranspiration is primarily influenced by the relative uncertainty of net radiation. The uncertainty in the measurement of net radiation was derived from data obtained by using a radiometer which was equipped with a pair of pyranometers and with a pair of pyrgeometers. Planck’s Law was used for spectral analysis. The possible presence of systematic errors in the measuring of net radiation was evaluated for its potential impact on the errors of the evapotranspiration estimate. This paper is accompanied by measurement records and graphs documenting the achieved results.
The Inhibitory Effect of Gooseberry on DNCB-induced Atopic Dermatitisin vivoandin vitro

Generally, berry fruits have various pharmacological activities such as anti-inflammation, anti-oxidation and anti-cancer effects. The effects of gooseberry, a berry fruits, on atopic dermatitis (AD) have not been widely examined. The aim of this present study is to investigate whether gooseberry modulates AD. We examined the pharmacological effects of gooseberry on 2, 4-dinitrochlorobenzene (DNCB)-induced AD symptoms in mice. To determine the anti-atopic mechanism of gooseberry, we investigated its effects on the production of inflammatory cytokines and activation of nuclear factor-κB in PMA + ionophore -stimulated human mast cells (HMC-1). The results demonstrated that gooseberry attenuated AD clinical symptoms such as erythema, edema and dryness as well as histamine and IgE serum levels in DNCB-induced AD model mice. Additionally, gooseberry suppressed the expression of inflammatory cytokines and activation of nuclear factor-κB in stimulated HMC-1. These findings demonstrate that gooseberry is potential agent for treating AD and allergic inflammation.
Blame Gabriel: Acute Grief Following Death Of a Loved One a Study 0f Self Empowerment Therapy

Objective The objective of this study is to investigate the effectiveness of Self Empowerment Therapy in the treatment of acute grief following the death of a loved one. Design Study is a single case study and questionnaire administration design. Method A 26 year old patient diagnosed with acute grief following the death of her partner of 10 years was seen for therapy for 1.50 hours per week for 18 months. Intervention consisted of Self Empowerment Therapy within the framework of the universal psychotherapy modality, using rapport as a barometer to test the effectiveness of interpretations. Results Following the death of a loved one, utilizing a structured approach in establishing and maintaining a satisfactory level of functioning in the life domains of health, family, relationships, profession, education, finances and self, yielded significant outcomes in the treatment of acute grief. This study demonstrates that following the death of a loved one, to establish and maintain an integrated self, a person needs to reduce the discrepancies between actual, ought and ideal selves, whilst at the same time reducing their undesirable behaviors and tendencies. Conclusions Confronting the death of a loved one is one of the most traumatic experiences in life and brings us face to face with our own mortality. Maintaining an integrated self is challenging as the death of a loved one forces the person left behind to redefine their sense of self. An integrated self is achieved by reducing discrepancies between actual - ought self and actual - ideal self, whilst at simultaneously reducing congruency between actual - undesirable self life domains. Self Empowerment Therapy provides a structured approach in managing acute grief following the death of a loved one. This study provides high efficacy for Self Empowerment Therapy in treating acute grief but requires further investigation
How to reach moviegoers: inbound vs. outbound tools in film marketing

The worldwide movie market worth 32.6 billion dollars (2011) and its total income keeps growing every year, but the number of sold tickets is decreasing in most countries. Due to this and the fierce competition, film studios and marketers have to understand better their customers‟ need in order to be able to reach them the most efficient way possible. At the same time, movie studios still spend enormous amount of money on TV advertisements and other outbound marketing techniques, even though recent studies show that moviegoers can be better reached on the Internet. This thesis has the purpose to understand how moviegoers choose the film to watch and what are the best ways to advertise a movie. To better understand the Portuguese moviegoers, a primary research was conducted. It revealed that moviegoers younger than 55 years use Internet and visit social media sites on a daily bases. This clearly shows the importance of inbound marketing and that Portuguese distributors should increase their online presence.
Excess noise factor measurement for low-noise high-speed avalanche photodiodes

The excess noise factor(F) is an important parameter for Avalanche Photodiodes (APDs), indicating the extent to which the noise of the diodes exceeds what it would be without multiplication. This paper presents a method of measuring the excess noise factor for high-speed low-noise APDs using the high-sensitivity spectrum analyzer. The F factor test for the high-speed low-noise APDs was performed by comparing two conditions with and without illumination to remove the interference of the system, including the thermal noise and analyzers. The setup conditions of the light source are analyzed in detail. The F factor was obtained as 3.03 when the multiplication factor M is 10, which corresponds to an effective ionization coefficient ratio k of 0.14 for the high-speed InAlAs APD. For comparison, the k value of a commercial Si APD is tested to be ∼0.06.
XCT image reconstruction by a modified superiorized iteration and theoretical analysis

ABSTRACT In this paper, we propose an improved iteration superiorization method for X-ray computed tomography image reconstruction. We simplify the classic superiorized iteration by removing two constraints imposed on the perturbation. A novel method is proposed to determine the perturbation amount and direction for the superiorized iteration simultaneously. Some theoretical properties (convergence for instance) of the superiorized iteration sequence with the proposed perturbation are analysed. We present a general proof for the convergence of ART-like iterations with summable perturbations. In addition, we prove the convergence of simultaneous iterations without the summable perturbation assumption. Experiments on simulated and real data not only verify the theoretical result but also show that the proposed algorithm is superior to the classic superiorized iteration and can reconstruct desirable images.
Appendix to : Quantitative Study of Music Listening Behavior in a Smartphone Context

We provide the details of the 9 audio feature sets listed in Table I of this paper. A flowchart of audio feature extraction is depicted in Fig. 11. To reduce computation load, music signals are sampled at 22,050 Hz and reduced from stereo to mono-channel by averaging the left and right channels. Moreover, considering the limited source on mobile devices for further application, we only took from each song the segment going from the 30th to the 60th seconds for feature extraction and considered the segment-level feature vector as representative of the information of the whole song, a common practice in MIR [Scaringella et al. 2006].
Quadruple Play Network and Education Systems: An Overview and Possibilities

Network is one of the important gradients in communication in several fields which includes Healthcare, Business Houses, Governmental Activities, and Educational Activities and so on. QPN or Quadruple Play Network is one of the important tools for complete development in Networking segment. QPN or Quadruple Play Network has its own significant because it is able to communication of several document and format which includes voice, audio, video, data and other running Television services. Network is one of the important name in today’s age; each and every one now aware and uses networks. Mobile phone is one of the important devices which make close relationship between network literacy and human being. This paper is deals with so many aspects of Networking and particularly QPN or Quadruple Play Network and its importance in the field of education which includes higher education and university systems. Paper is also try to find out challenges and issues of QPN or Quadruple Play Network in the field of Networking works and its implementation in higher educational systems.
imaging. hydrocephalus: evaluation with cine-MR Intracranial CSF flow in pediatric

Purpose: 1) To describe the pattern of normal intracranial CSF flow in children and 2) to demonstrate altered CSF flow patterns in pediatric hydrocephalus and ventriculomegaly with flow sensitized cine-MR examinations. Method: Cardiac gated, multiframe, gradient echo sequences on a 1.5-T system were displayed on a closed loop cine format and compared to standard MR images. Areas of normal flow and areas of diminished flow were determined. Results: 1) In normal children, the CSF flow follows a consistent pattern with a to-and-fro movement of flow in the aqueduct, foramen of Magendie, and in the dorsal and ventral subarachnoid space at the cervicomedullary junction. 2) In patients with ventricular enlargement, the flow studies showed regional abnormalities of the CSF flow patterns: specifically, lack of flow and hyperdynamic flow. Conclusion: Cine-MR for CSF flow evaluation is a useful adjunct to routine MR in the evaluation of pediatric hydroceph alus because it can assist in determining the probable level of CSF obstruction.
Correlation in Academic Performance, Purpose in Life and Hopelessness among Final year Medical Students

Background: Student’s academic performance is the major concern for the educational sector because students are the future practitioners who will serve the society. The academic performance of students is a key feature in teaching. The present study aims to determine the relationship between academic performance, purpose in life and hopelessness among final year MBBS students, by taking hopelessness as predicting variable. Methodology: A Correlational study was conduct at Fatima Jinnah Medical University, Lahore Pakistan. A total no. of 240 final year medical students were included by using convenient sampling technique and they were administered Purpose in Life (PIL) Scale and Beck’s Hopelessness Scale (BHS) along with demographic details. The academic performance of students was measured through 4th year academic scores. Hopelessness was taken as independent variable (IV), while, academic performance and purpose in life served as dependent variables (DVs). Results: The mean age of students was 22.5 years. Results found negative correlation between hopelessness and academic performance (p<0.01), as well as a negative correlation between hopelessness and purpose in life (p <0.01). Hopelessness negatively predicted academic performance (β= -.19, p<.01) and purpose in life (β= -.72, p<.001) among students. Total 25% students were in the normal range of hopelessness, 45.4% students scored in mild range, 23.8% students were in the moderate category, while 5.8% students were found in the severely hopeless category. Conclusion: The study concluded that hopelessness does not only predict purpose in life negatively among students but also affect their academic performance. A wide range of students were found hopeless therefore, various interventions for the prediction of hopelessness in various academic institutes should be made by involving appropriate educational and administrative measures.
A genomic estimated breeding value-assisted reduction method of single nucleotide polymorphism sets: a novel approach for determining the cutoff thresholds in genome-wide association studies and best linear unbiased prediction

ABSTRACT Traditionally, the p-value is the criterion for the cutoff threshold to determine significant markers in genome-wide association studies (GWASs). Choosing the best subset of markers for the best linear unbiased prediction (BLUP) for improved prediction ability (PA) has become an interesting issue. However, when dealing with many traits having the same marker information, the p-values’ themselves cannot be used as an obvious solution for having a confidence in GWAS and BLUP. We thus suggest a genomic estimated breeding value-assisted reduction method of the single nucleotide polymorphism (SNP) set (GARS) to address these difficulties. GARS is a BLUP-based SNP set decision presentation. The samples were Landrace pigs and the traits used were back fat thickness (BF) and daily weight gain (DWG). The prediction abilities (PAs) for BF and DWG for the entire SNP set were 0.8 and 0.8, respectively. By using the correlation between genomic estimated breeding values (GEBVs) and phenotypic values, selecting the cutoff threshold in GWAS and the best SNP subsets in BLUP was plausible as defined by GARS method. 6,000 SNPs in BF and 4,000 SNPs in DWG were considered as adequate thresholds. Gene Ontology (GO) analysis using the GARS results of the BF indicated neuron projection development as the notable GO term, whereas for the DWG, the main GO terms were nervous system development and cell adhesion.