Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of An Islamic Approach to Hope Therapy on Hope, Depression, and Anxiety in Comparison with Conventional Hope Therapy in Patients with Coronary Heart Disease

Background and Objective: Hope therapy is an efficient and positive psychology intervention used to treat chronic diseases. The purpose of this study was to investigate the effect of hope therapy on anxiety and depression using an Islamic approach and compare this approach with conventional hope therapy in coronary heart disease (CAD) patients. Materials and Methods: The study was conducted in the form of a randomized trial with pre- post-test, and control groups. A total of 45 patients with CAD were sampled through convenience sampling from a hospital in Qom city, Iran. Data were collected using Snyder’s hope questionnaire, and the Hospital Anxiety and Depression Scale (HADS). After collecting pre-test data, the participants were randomly divided into three groups of peers, and the intervention sessions were performed in eight sessions of 90 minutes each. One experimental group received Islamic hope therapy, and the other experimental group was exposed to conventional hope therapy, while the control group received a stress relief package. All three groups undertook a post-test, the data from which were analyzed by SPSS 22, using Levin, Kolmogorov-Smirnov, and covariance tests. Results: Islamic and conventional hope therapy both significantly outperformed the stress relief package in terms of increasing hope and decreasing depression. Also, Islamic hope therapy had an especially significant effect on reducing anxiety. Conclusion: Islamic hope therapy seems similar to conventional hope therapy in its ability to increase hope and reduce depression and is more effective in reducing anxiety. Therefore, it could be helpful in treatment of patients with CAD and other chronic diseases that cause patients a high level of anxiety.
Taxonomy and relationships of the mainland and Island populations of Pinus torreyana (Pinaceae)

Pinus torreyana is one of three species in Pinus subsect. Sabinianae (big-cone pines), but its maritime habitat and disjunct, edaphically restricted distribution indicate ecological simi- larity with coastal species of P. subsect. Oocarpae (closed-cone pines). Only two populations of Pinus torreyana exist, one on the southern California mainland, the other 280 km distant on Santa Rosa Island. These populations are shown to be distinct on the basis of gross morphology, both in the wild and in a common garden planting. Other investigators have shown differences based on turpentine composition and isozyme analysis. Authorship of the species and early confusion over the number of leaves per fascicle are discussed and clarified. The island population is given the name Pinus torreyana subsp. insularis. Evidence for the relict status of the species is presented. It is suggested that the island population may be as old or older than the present mainland popula- tion.
Inverse Analysis of the Effect of Soil Vertical Heterogeneity on Land Surface and Subsurface Processes

* Kun Yang, Toshio Koike, Baisheng Ye (1: University of Tokyo, 2: Chinese Academy of Science) * River Lab. , Dept. of Civil Engineering, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan. e-mail: yangk@hydra.t. u-tokyo.ac. jp Abstract Surface soil moisture and temperature have been widely addressed in land surface processes modeling and satellite remote sensing, because they play a key role in land surface energy and water budget. However, it is rather difficult for most of land surface models to reproduce the surface soil state in areas with high soil vertical heterogeneity, because these models use a single parameter-set to characterize soil hydraulic and thermal processes. This study develops a single-source land surface model to parameterize this heterogeneity. Its soil parameters are inversely estimated by minimizing a cost function that is objectively determined by the discrepancy between observed and model-predicted values of soil moisture and temperature. The approach is then used to investigate how the soil vertical heterogeneity affects subsurface processes and thus controls soil surface state and surface energy budget. By a synthetic numerical experiment and a Tibet field experiment, we indicate that (1) vertical heterogeneous soils cannot be effectively approximated by vertically homogenous soils in a land surface model no matter how the soil parameters are adjusted; (2) soil vertical heterogeneity obviously affects soil subsurface processes, and plays a very important role in controlling surface soil wetness and surface energy partition; (3) in particular, the existence of dense vegetation roots in topsoils may significantly reduce thermal conductivity, increase soil water potential, and enhance surface evaporation. We therefore conclude that it is indispensable to take the soil vertical heterogeneity into account in land surface models, although most of them still assume vertically uniform soil parameters. Keyword: Inverse approach, soil parameter estimation, soil vertical heterogeneity, surface energy partition
Research Statement: Context Aware Sequential Model

My research focuses on developing a context-aware sequence model. Context modeling helps understand the abstract meaning of data, such as sentence or user behavior. Contextual information captures the important underlying feature, and it helps the model to capture the relationship between data instances or hidden representations. The importance of context modeling becomes larger when we deal with sequential data which has its own order. This is because even the same word might have a completely different meaning depending on the position and order of words. For the sequential data, we need to consider the context change over time and the relationship between sequential input. Furthermore, we extend our research to handle the multi-granularity and hierarchical context of sequential modeling to deal with long and complex sequences by capturing rich contextual representations. My research focuses on three keywords, sequence, context, and hierarchy on diverse datasets and tasks. Figure 1 visualize my primary research works and experiments that I conducted.
COMPARISON OF STRUCTURAL SEISMIC RESPONSE BASED ON REAL AND SPECTRUM COMPATIBLE NEAR-SOURCE GROUND MOTION RECORDS

A relatively large set of single-degree-of-freedom systems, for different period, damping and backbone curves, are selected and subjected to two different sets of ground motion records. The first set of ground motion records is consisting of 31 near-source strikenormal ground motion components recorded under forward directivity conditions from four different earthquakes. The 31 prescribed real records are used as “seeds” to generate the second set of ground motion records which are compatible to the median response spectrum of the first set of records. The single-degree-of-freedom systems response is calculated, then, for the two prescribed sets of ground motion records in different levels of ground motion intensities. Recently, this kind of nonlinear analysis, which is called Incremental Dynamic Analysis (IDA), is widely used by many researchers. The nonlinear structural seismic response, for the two sets of ground motion records, is statistically compared to identify the differences which are made from the spectrum matching process into the structural seismic response. The results show that the seismic structural capacity in terms of intensity measure based on the spectrum compatible records is biased. On the other hand, the seismic structural capacity in terms of displacement ductility is statistically un-biased.
Effect of Performance Review and Faculty Development to Organizational Climate

Faculty performance review, faculty development, and organizational climate are an essential element of the educational institution. More importantly, the mentioned variables have certain connections and interplay with each other. This study describes the performance review, faculty development, and organizational climate of a tertiary education institution. This study used a descriptive-correlation design. 56 faculties took part in the survey using a convenience sampling technique. The researcher adopted and modified an instrument and subjected it to validity and reliability test using Cronbach Alpha which yielded an overall coefficient of . 0968. The statistical tools used were: mean, t-test, ANOVA, Pearson-r, and regression analysis. With the help of SPSS 20, it analyzed the gathered data. The study found that the respondents observed faculty performance review contexts. Also, the respondents agreed on the unique perspectives of faculty development. Also, the respondents see that the organizational climate affects the faculty to a great extent. There were significant differences found in the three variables. There was a direct, positive relationship between the three variables of the study. In confirmation, the performance review predicts the organizational climate of the faculty. Based on the results of the study, the researcher suggested recommendations essential for the institution, human resource, and faculty.
Design and Analysis of Printed Square Loop Antenna and Solenoidal Loop Antenna for Pill Shaped Bio-implants Object

This paper deals to design and investigated two proposed loop antenna for pill shaped bio-implants objects such as wireless capsule endoscopy. In additional it’s help in developing an understanding of how the fields decay with distance. The first proposed loop antenna is the planar printed square loop antenna with outer dimensions 9 mm and inner dimension 0.45 mm, 6 turns, width 0.5 mm and 0.25 mm of space which can be easily integrated with a system-on-chip technology. The second proposed loop antenna is the solenoidal loop antenna where the solenoid had 9 turns, a pitch of 1 mm and a radius of 5 mm and can be easily wound in the form of a coil and encased within the pill shaped object. For both antennas the electromagnetic field was solved at 1MHz. From the radiation patterns results it can be observe that the surrounding pattern gain around the antennas is constant and conform the omnidirectional pattern associated to such loop antennas that fit the capsule endoscopy randomly movement within the human body in different directions. The design simulations and results are performed and validated by using commercial High Frequency Structure HFSS software. Keywordsprinted antenna, bio-implantable devices, Wireless Capsule Endoscopy, inductive coupling links. How to cite this article: S. Mutashar “Design and Analysis of Printed Square Loop Antenna and Solenoidal Loop Antenna for Pill Shaped Bio-implants Object,” Engineering and Technology Journal, Vol. 35, Part A, No. 1, pp. 9-15, 2017.
Effect Of Phosphorus On Osmotic-Stress Responses Of Cucumber Microshoots

The goal of this work was to test the in vitro responses of cucumber microshoots to osmotic stress as affected by increased phosphorus (P). Osmotic stress was induced by incorporating different concentrations (0.0, 25, 50, 75 and 100 mM) of sorbitol to the medium. Increased P in the medium was very effective to alleviate the adverse effects of increased sorbitol levels. Shoot and root growth of cucumber microshoots were negatively affected by osmotic stress, whereas increasing P improved their growth with elevated sorbitol levels. Sorbitol-induced osmotic stress reduced (more negative) leaf cell sap osmotic potential which was increased (less negative) by P treatments. Total protein content was reduced and proline was accumulated as a result of in vitro induced osmotic stress. However, increased P concentration in the medium enhanced the microshoots content of protein and lowered their content of proline. The microshoots content of K, Ca and P were significantly reduced by osmotic stress and this reduction was less as P concentration increased in the medium.
Prevalence of Phytophthora spp. In Citrus Nurseries of Vidarbha Region

Citrus occupies the position of most remunerative fruit crops of India, having it own niche in the international trade and world finance. Nagpur mandarin, Sweet orange and Acid lime are the three important species of citrus having international acceptance. This is the second largest industry in India and third largest in production. Citrus is primarily grown in Andhra Pradesh, Maharashtra, Punjab, Karnataka, Uttaranchal, Bihar, Orissa, Assam and Gujarat (Lakshmi et al, 2014). Phytophthora disease has been identified as one of the major causes of decline in citrus. It causes the most serious and economically important soil borne diseases to citrus crops. Three species of Phytophthora viz. P. parasitica, P. citrophthora and P. palmivora found associated to cause damping off, collar rot and root rot in citrus (Naqvi, 1988; Gade, 2012).
Bank Capital and the Cost of Equity, WP/19/265, December 2019

Using a sample of publicly listed banks from 62 countries over the 1991-2017 period, we investigate the impact of capital on banks’ cost of equity. Consistent with the theoretical prediction that more equity in the capital mix leads to a fall in firms’ costs of equity, we find that better capitalized banks enjoy lower equity costs. Our baseline estimations indicate that a 1 percentage point increase in a bank’s equity-to-assets ratio lowers its cost of equity by about 18 basis points. Our results also suggest that the form of capital that investors value the most is sheer equity capital; other forms of capital, such as Tier 2 regulatory capital, are less (or not at all) valued by investors. Additionally, our main finding that capital has a negative effect on banks’ cost of equity holds in both developed and developing countries. The results of this paper provide the missing evidence in the debate on the effects of higher capital requirements on banks’ funding costs. JEL Classification Numbers: G21, G28
Edge scaling limit of Dyson Brownian motion at equilibrium with general β ľ 1

Abstract: For general β ľ 1, we consider Dyson Brownian motion at equilibrium and prove convergence of the extremal particles to an ensemble of continuous sample paths in the limit N Ñ 8. For each fixed time, this ensemble is distributed as the Airyβ random point field. We prove that the increments of the limiting process are locally Brownian. When β ą 1 we prove that after subtracting a Brownian motion, the sample paths are almost surely locally r-Hölder for any r ă 1 ́ p1 ` βq ́1. Furthermore for all β ľ 1 we show that the limiting process solves an SDE in a weak sense. When β “ 2 this limiting process is the Airy line ensemble.
Direct setting of Crassostrea virginica larvae in a tidal tributary: applications for shellfish restoration and aquaculture

: Recent efforts to restore eastern oyster Crassostrea virginica populations in Chesapeake Bay have targeted regions where low larval supply limits recruitment. A common practice in areas of minimal spat set incorporates remote setting, a method of setting hatchery-reared larvae in tanks, and then transporting them to the field. Although remote setting is effective, ineffi-ciencies exist. Repeated shell handling, spat mortality during transport, and decreased cultch supply suggest that other restoration methods merit consideration. We present the results of the first known field test of directly seeding a submerged oyster reef with larvae and setting an additional cohort on the reef the following year. We surrounded a 65 m 2 reef located in 2.5 m of water with a flexible enclosure and added 2.3 × 10 6 larvae. Larvae were allowed 3 d to set on either clean or fouled shell valves, after which we removed the enclosure. Setting efficiencies in the enclosure (spat produced per larvae introduced), were 26 and 7% for clean and fouled shell, respectively, in 2012, and 10 and 16% in 2013. These are comparable to published remote setting efficiencies, and were significantly higher than in our representative shoreside tank . Spat densities on site 1 mo post-set (median = 189 spat m −2 ) and the following spring (115 juveniles m −2 ) met best practice restoration metrics. Larvae were re-set on the reef in 2013, but in lower densities than 2012, supple-menting the reef with 23 spat m −2 . In areas of minimal natural recruitment, or low cultch availability, direct setting of larvae in the field may be a viable alternative to remote setting.
Methanogens Harboring in Rice Rhizosphere Reduce Labile Organic Carbon Compounds to Produce Methane Gas

Submerged rice paddy soils are one of the major anthropogenic sources of methane (CH 4 ) emission to the atmosphere. Methane is the second most important greenhouse gas after carbon dioxide. Methanogens are strictly anaerobic microorganisms and CH 4 is the metabolic end product of those methanogens. Methane is produced by methanogens through multi-step enzyme-mediated process. Methanogens convert labile organic carbon compounds in CH 4 and application of organic matter in submerged rice field significantly increased CH 4 emission from soil to the atmosphere. The rate of methanogenesis may be determined by quantifying biomarkers namely methyl coenzyme M reductase A (mcrA) gene and coenzyme M (2-mercaptoethane sulphonate) in soil. Nickel ions are present as cofactor in enzymes involved in methanogenesis. Methane emission can be mitigated by application of EDTA at suitable rate in the soil of submerged rice field.
Killing me slowly: Harsh environment extends plant maximum life span

Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, -06108 Halle (Saale), Germany Independent Institute for Environmental Issues, Greifswalder Straße 4, D-10405 Berlin, Germany Department Nature Conservation, State Administration of Saxony-Anhalt, Dessauer Straße 70, 06118 Halle Saale), Germany German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, ermany State University Altai, Prospekt Lenina 68, 656 049 Barnaul, Russian Federation International Institute Zittau, Technische Universität Dresden, Markt 23, 02763 Zittau, Germany Botany Department, Senckenberg Museum of Natural History Görlitz, PO Box 300 154, D-02806 Görlitz, Germany
Supplementary feeding of goats during lactation

Twenty-four does each of Sirohi, Marwari and Kutchi breeds were divided into four groups and supplemented with 0, 150, 300 or 450 g/head/day concentrate mixture in addition to browsing on available range land during first 150 days of lactation. Sirohi does maintained but Marwari and Kutchi lost their liveweights under no supplementation group. However, the does of the three breeds showed increase in the liveweights with the increasing level of concentrate supplementation. Sirohi, Marwari and Kutchi does produced 84.4, 89.1 and 94.3 kg with no supplementation, 98.6, 96.1 and 93.2 kg with 150 g concentrate and 109.0, 106.4 and 101.1 kg milk with 450 g/head/day concentrate supplementation respectively during 150 days of lactation indicating that the milk yield increased with the increasing level of concentrate upto 300 g in Marwari and Kutchi and upto 450 g in Sirohi does. It was concluded that the lactating does of the three breeds should be supplemented with 300 g/head/day concentrate mixture of given composition upto five months of lactation for optimum milk production.
EFFICIENT LARGE-SCALE AIRBORNE LIDAR DATA CLASSIFICATION VIA FULLY CONVOLUTIONAL NETWORK

Abstract. Nowadays, we are witnessing an increasing availability of large-scale airborne LiDAR (Light Detection and Ranging) data, that greatly improve our knowledge of urban areas and natural environment. In order to extract useful information from these massive point clouds, appropriate data processing is required, including point cloud classification. In this paper we present a deep learning method to efficiently perform the classification of large-scale LiDAR data, ensuring a good trade-off between speed and accuracy. The algorithm employs the projection of the point cloud into a two-dimensional image, where every pixel stores height, intensity, and echo information of the point falling in the pixel. The image is then segmented by a Fully Convolutional Network (FCN), assigning a label to each pixel and, consequently, to the corresponding point. In particular, the proposed approach is applied to process a dataset of 7700 km2 that covers the entire Friuli Venezia Giulia region (Italy), allowing to distinguish among five classes (ground, vegetation, roof, overground and power line), with an overall accuracy of 92.9%.
Barcodes, motricity and aesthetics. The embodiment of cashier work / Códigos de barras, motricidad y estética. La corporeización del trabajo de cajera

Few empirical studies have analysed the process of formation and/or transformation of dispositions from the perspective of Bourdieu’s analytical framework or the closely related one of Lahire. This article helps alleviate this problem by studying the embodiment of work organization by new cashiers in a hypermarket. This question is approached from the dual perspective of Bourdieu’s analysis of body care and dispositional dynamics. The data were obtained from an ethnographic study with participant observation that closely followed Wacquant’s carnal sociology proposal. The article shows that two processes take place as the cashiers strive to learn: first, the adaptation of generic dispositions to the new situations of the hypermarket; and second, the incorporation of new specific gestural and motor dispositions and the memorization of technical procedures, protocols and barcodes.
1 2 A pr 2 01 1 Infrared Sensitivity of Unstable Vacua

We discover that some unstable vacua have long memory. By that we mean that even in the theories containing only massive particles, there are correllators and expectation values which grow with time. We examine the cases of instabilities caused by the constant electric fields, expanding and contracting universes and, most importantly, the global de Sitter space. In the last case the interaction leads to a remarkable UV/IR mixing and to a large back reaction. This gives reasons to believe that the cosmological constant problem could be resolved by the infrared physics.
Structural framework of the Zelten platform, south Sirte Basin, Libya using Potential Fields modelling

Integration between magnetic and gravity data at the Zelten platform, the southeast part of Sirt Basin Libya. Zelten Platform is first discovered oil field in Libya. It shows numerous geological structures of different tectonic events. The methods adopted can assist in locating the hidden subsurface structures. The platform is characterized by the NW-SE trending rift that belongs to the Early Cretaceous age (during the collapse of Sirt Arch). The study aimed to define the structural geology that assisted in the development of future exploration in this area. The analyses utilized several filtering and transformation algorithms to help in structural modeling. For instance, the total horizontal gradient and tilt angle derivative were applied for the edge detection of the tectonic boundaries. The results show NW-SE and NNW-SSE patterns that represents faults that controlled the positions of the troughs and platforms at the Sirt basin. On the other hand, Euler deconvolution and 2D forward modeling were utilized to determine the depth of the basement. The Integrated models deduced revealed that the main faults trends are NW-SE which refer to the rift phases and crustal extension period that occurred during the Mesozoic time (early cretaceous). Also, the basement depth ranges from 6.5 km to 8 km according to the structures that affected the study