Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development of the Filipino Coping Strategies Scale

The development of the Filipino Coping Strategies scale was based on the qualitative data on the resilience of Filipinos and the ways by which they cope with stressful life experiences and the quantitative data on foreign measures of coping. Integration of both data led to the formulation of nine coping strategies: cognitive reappraisal (pagsusuri), social support (paghingi ng tulong), problem-solving (pagtugon), religiosity (pagkarelihiyoso), tolerance (pagtitiis), emotional release (paglabas ng saloobin), overactivity (pagmamalabis), relaxation/recreation (paglilibang), and substance use (pagbibisyo). Initially, the scale was composed of 45 items with five items under each domain. This was pilot tested to 627 male and female Filipinos aged 18 above. Reliability analysis revealed items that are internally consistent with each other resulting in the reduction of items to 37. Furthermore, construct validity was established via a) factor analysis through principal components analysis extraction method and varimax rotation method and b) test for convergent validity by correlating each domain of the Filipino Coping Strategies scale with the corresponding domains of Ways of Coping by Folkman and Lazarus and the COPE Inventory by Carver, Scheier, and Weintraub. Independent samples t-test revealed significant differences among males and females in each coping strategy which served as the basis for norm groups. The Filipino Coping Strategies scale is a four-point Likert scale which aims to measure the coping strategies of Filipinos towards stress and generates a coping dispositional profile which can be used to aid in the assessment of coping behaviors.
Crowd-Squared: Amplifying the Predictive Power of Large-Scale Crowd-Based Data

The analysis of large-scale data generated by the crowd has recently attracted extensive interest of marketing scholars and practitioners. Combined with recent advances in computer science and statistics, these data provide a myriad of opportunities for monitoring and modeling customers' intentions, preferences, and opinions. Nevertheless, a crucial step in any "Big Data" analysis is identifying the relevant data items that need to be processed or modeled. Interestingly, this important step has received limited attention in previous research and has been typically addressed by adhoc approaches. In this paper, we offer a novel crowd-based method to address this data selection problem. We label the method “Crowd-Squared,” as it leverages crowds to identify the most relevant elements in crowd-generated data. To implement this method we developed an online word association game that taps into peoples' "thought collection" process when thinking about a focal term. We empirically tested our approach by comparing its performance to previous studies in three domains that have been used as test-beds for prediction: flu epidemics, the housing market, and unemployment. Our findings demonstrate the effectiveness of this method in providing accurate results that are equivalent or superior to previously used term-selection methods.
Sub Acute Nephrotoxic Effect of Diethyl Phthalate on Rat

Balakrishnan S. Professor Abstract Diethyl phthalate has many industrial uses, as a solvent and vehicle for fragrance and cosmetic ingredients. This study was designed to examine the diethyl phthalate induced toxicity on rat kidney. SD rats were treated orally with 420 and 840 mg/Kg body weight/day for 14 days. Activities of antioxidant enzymes and histopathology of kidney were analyzed at the end of the study period. Diethyl phthalate treatment was found to induce oxidative stress in rat kidney, as evidenced by significant decreases in SOD, GPx and catalase activities and GSH level, along with marked increase in TBARS levels. The effect of DEHP was more pronounced in 840 mg/Kg body weight/day treated rats. Vacuolar degeneration and tubular destruction were the common observed histopathological change in treated kidney. Present findings emphasized the potential role of diethyl phthalate to induced renal damage by depleting the oxidant stressor activity in rat.
Human Capital and Business Startups1

We expand the data infrastructure available to build evidence on public and private investments in science and R&D and utilize it to examine the links between startup performance and new measures of workforce human capital. We apply machine-learning techniques to a rich new source of longitudinally-linked data to characterize the research-experienced workforce of new businesses. Startups with a more research-experienced workforce are more likely to survive and grow. 1 Disclaimer: Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed. This research was supported by the National Center for Science and Engineering Statistics. NSF SciSIP Awards 1064220 and 1262447; NSF Education and Human Resources DGE Awards 1348691, 1547507, 1348701, 1535399, 1535370; NSF NCSES award 1423706; NIHP01AG039347; and the Ewing Marion Kaufman and Alfred P. Sloan Foundations. Data were generously provided by the Committee on Institutional Cooperation and its member institutions. We thank Cameron Conrad, Ahmad Emad, Christina Jones and Evgeny Klochikhin, for research support, Greg Carr, Marietta Harrison, David Mayo, Mark Sweet, Jeff Van Horn, and Stephanie Willis for help with data issues, and Jay Walsh, Roy Weiss, and Carol Whitacre for their continuing support. The research agenda draws on work with many coauthors, but particularly Bruce Weinberg and Jason Owen Smith. 2 U.S. Census Bureau 3 New York University
Positive integral operators in unbounded domai

We study positive integral operators K in L2(R) with continuous kernel k(x, y). We show that if k(x, x) ∈ L1(R) the operator is compact and Hilbert–Schmidt. If in addition k(x, x) → 0 as |x| → ∞, k is represented by an absolutely and uniformly convergent bilinear series of unif continuous eigenfunctions and K is trace class. Replacing the first assumption by the stro k1/2(x, x) ∈ L1(R) thenk ∈ L1(R2) and the bilinear series converges also in L1. Sharp norm bound are obtained and Mercer’s theorem is derived as a special case.  2004 Elsevier Inc. All rights reserved.
Browser-Based Deep Behavioral Detection of Web Cryptomining with CoinSpy

—Although the cryptocurrency hype over the past year may be seen by some as a benign social fad, to the Web community it is the center point for a series of ethically dubious ransomware attacks. Browser based cryptomining, or cryptojack-ing has gained widespread attention. Cryptojacking consists of Web servers delivering cryptocurrency mining scripts to clients, and using the client resources to play part in a distributed coin mining scheme. Although Web server operators defend the ethics of their involvement by quoting mining as a substitute for advertisement revenue, these scripts can hog massive amounts of client-side resources and can be delivered without client consent, presenting a high potential for abuse. Regardless of how ethical these campaigns are, what remains constant is the need for their detection. While there has been an array of work in defending against such cryptojacking campaigns, these defenses remain quite preliminary. We present CoinSpy, an entirely in-browser tool built using deep learning techniques for the detection of cryptomining activity within Web pages. A key challenge is that there is limited visibility into the client resource usage from within the browser sandbox. CoinSpy extracts several signals from information available from the browser and combines them using deep learning to build a powerful cryptojacking classiﬁer. We argue why CoinSpy is the most robust defense against current and future cryptojacking attacks as compared to recent work, and show that it can detect various cryptojacking campaigns with 97% accuracy.
Morphological and Histological Effect of Oral Intake of Rose Water in Mouse

Rose water (Maa El-Ward) is one of the major products of rose, it is produced from the petals of Rosa damascene and contains about 0.08-0.12% of essential rose oil. Rose water is used widely between Saudi women (Saudi Arabia), in cooking and taken orally due to its calming effect. This study has been initiated to highlight the morphological and histological changes on mice and its kidney, using two types of rose water (RW1 & RW2), by oral uptake. Eighty four adult female albino mice were divided into one control group (12 mice) that was administered distilled water and two experimental groups. Each experimental group was subdivided into three subgroups 12 each and received oral doses twice/day for eight consecutive weeks under laboratory conditions. The first experimental subgroups were taken RW1 at doses 41, 82 & 174 μl /body weight. The second experimental subgroups were given RW2 at doses 42, 85, & 173 μl /body weight. Every two weeks, blood samples were collected and the sera were analyzed biochemically. Renal tissue samples were also taken and histopathological changes of the kidneys were examined using optical microscope. Biochemical analysis showed significant difference in the serum levels of both creatinine and uric acid between the experimental groups and the control. Varieties of histological changes were recorded in all experimental groups in terms of the intake dose and time interval. Results showed that slight degenerative changes in renal tubules elements of all treated groups, after two weeks of receiving the dose, in comparison with control. These changes increased with time and became more obvious in RW2 than RW1. These histological changes included wide spacing of tubules and atrophy of the lining epithelium. Proximal tubules showed large numbers of shrunken dark acidophilic cells with dark small nuclei. Renal medulla tubules appeared with degenerated cells and vascular congestion. In conclusion, the observed significant increases of serum parameters and histopathological changes in the kidneys of treated mice suggested that rose water may cause nephrotoxicity in mice. So, the results of this study send a public awareness for women who oral intake of rose water as it might cause histological damage to kidney for long term use.
Porosity in ductile cast iron and its influence on the mechanical per- formance under cyclic loading

The highly complex solidification processes in ductile iron castings (GJS) may lead to non-optimal microstructures and volume deficits in casting practice. Shrinkage holes and micro-shrinkage porosity are among the most frequent defects in GJS. Depending on the distribution, size and position in the casting, these defects may negatively affect the mechanical-technological properties of castings. However, characterizing micro-shrinkage in destructive and non-destructive tests is problematic. Within the framework of a research project supported by AiF (German Association of Industrial Research Societies), the negative effect of increasing porosity on the mechanical properties of GJS samples was quantified
Config2Spec: Mining Network Specifications from Network Configurations

Network verification and configuration synthesis are promising approaches to make networks more reliable and secure by enforcing a set of policies. However, these approaches require a formal and precise description of the intended network behavior, imposing a major barrier to their adoption: network operators are not only reluctant to write formal specifications, but often do not even know what these specifications are. We present Config2Spec, a system that automatically synthesizes a formal specification (a set of policies) of a network given its configuration and a failure model (e.g., up to two link failures). A key technical challenge is to design a synthesis algorithm which can efficiently explore the large space of possible policies. To address this challenge, Config2Spec relies on a careful combination of two well-known methods: data plane analysis and control plane verification. Experimental results show that Config2Spec scales to mining specifications of large networks (>150 routers).
Application of Design Thinking for Requirements Elicitation in Mobile Applications

Design Thinking has been used by organizations as a requirement elicitation technique for making use of the immersion procedure that, as a consequence, brings the team stakeholder closer to the software project and allows the creation of projects with a design that is closer to the end user and with higher quality, minimizing the problems in requirements elicitation. In this work, we evaluate the elicitation process of software requirements of mobile applications developed in a Brazilian Public Agency using Design Thinking. Furthermore, we presented a practical case study in which Design Thinking is used in eliciting requirements of developed applications. We also compared the phases of development process adopted by the Agency with the Design thinking recommendations. Our comparative study demonstrates that the traditional methodology adopted by the Agency is bureaucratic and hinders the creation process, as well as the interaction between stakeholders and members of the development team and the transfer of knowledge.
Decomposition of ethanol over Ni-Al catalysts: effect of copper addition

A series of Ni-Al hydrotalcite-type samples modified with copper was prepared and evaluated for use in the decomposition of ethanol. The partial substitution of Ni by Cu has small influence on the specific surface area and on the structure (XRD). However, it has a strong influence on the degree of reducibility (shifts to lower temperatures) and on the selectivity of reaction. The selectivity towards H2 and CO increases for reactions conducted at a higher temperature, which is followed by a decrease in the amount of carbon formed. Catalysts with a high Cu content exhibit lower selectivity for H2 and CO. SEM images show that carbon nanotubes with greater and more variable diameters and lengths were formed by Cu-loaded catalysts, possibly due to the sintering of copper. Nevertheless, the Raman spectra suggest that the nanotubes produced by the Cu-containing samples have higher purities and fewer defects. © 2012 Published by Elsevier Ltd. Selection under responsibility of the Congress Scientific Committee (Petr Kluson)
Artificial Intelligence and the Future of Work: Evidence from Analysts∗

Artificial intelligence (AI) can enhance prediction, a common task for highly-skilled workers. We examine the implications of this technological change for incumbent workers in the context of security analysts. As evidence of substitution, we find the most talented analysts quit the profession while others shift their coverage toward low-AI stocks. Analysts’ access to management gives them a soft information advantage, and they focus these meetings on low-AI stocks suggesting some complementarity. The quality of analysts’ predictions also change: analysts covering high-AI stocks exhibit increased bias and forecast errors. Additional tests suggest the change in reporting quality stems from a less talented pool of analysts rather than strategically biased predictions. JEL classification: D14, G11, G14, G23, O35
SYMPLECTIC TRACKING FOR THE ROBINSON WIGGLER

A Robinson wiggler (RW) is considered to be installed in the Metrology Light Source (MLS) to lengthen the bunch and improve the Touschek lifetime by manipulating the damping partitions. Symplectic tracking is crucial to study the impact of the nonlinear field components introduced by the Robinson wiggler. This paper introduces a tracking method based on an implicit symplectic integrator to solve the exact Hamiltonian equations of particle motion in the wiggler. In addition, a numerical generating function method is implemented as an approach to realize fast tracking.
The Globalization of R&D: China, India, and the Rise of International Co-invention

The rapid rise of China and India as innovating nations seems to contradict conventional views of the economic growth and development process. In standard models, the acquisition of innovative capacity in frontier technologies emerges as one of the final stages in a long development process. China and India are still poor, yet advanced nations are granting rapidly growing numbers of patents to inventors based in these countries. Our analysis of these patents shows that a majority of them are granted to local inventor teams working for foreign multinationals. An important fraction of these patents also incorporate direct intellectual inputs from researchers outside China or India, a trend that we characterize as "international co-invention. " As such, the international patenting surge of China and India does not represent a challenge to traditional models of growth and development, so much as it represents a move toward an expanded international division of labor within global R&D networks. Acknowledgements: We gratefully acknowledge the financial support of the U.S. National Science Foundation (SciSIP grant no. 0830233), the Portuguese National Science Foundation (PTDC/ESC/71080/2006), the Carnegie Mellon Center for the Future of Work, and the World Bank. We received helpful comments from seminar audiences at the NBER, Carnegie Mellon, and the 2012 Asia Pacific Innovation Conference, and we appreciate the research assistance of Matej Drev. The views expressed in this paper are those of the authors, and we retain sole responsibility for any errors. © Lee Branstetter, Guangwei Li, Francisco Veloso, 2013. All rights reserved.
Is gender expression genetically fixed in ferns? A study of Culcita macrocarpa

An individual’s sex can be genetically fixed at conception (genetic sex determination, GSD) or decided afterwards according to its immediate environment (environmental sex determination, ESD). When environments differentially influence male and female performance, ESD might evolve. Homosporus ferns are the only plant group in which ESD is predominant. Several culture studies have found that Culcita macrocarpa is first male and then hermaphrodite, even in conditions supposed to be optimal for growth. This gender sequence is fixed under a combination of two light levels and three nutrient levels. At low light level gametophytes grew slowly, irrespective of nutrient level, and most became male. In addition, there were some hermaphrodites but no females. At high light level gametophytes showed faster growth, especially with mid and high nutrient levels, and although most gametophytes became male, some were females. These results are thus in agreement with the ESD theoretical framework. It can be concluded that any realistic assessment of gender sequence in fern gametophytes must consider a broad range of culture conditions.
Molecular Basis of G6PD Deficiency in Hyperbilirubinemic Neonates in Middle Euphrates Province : Iraq

ackground: Neonates G6PD deficiency screening has been recognized as an essential component of public health care in most developed and some Mediterranean countries. However, such screening is yet to be widely embraced in Iraq. More than 442 variants of G6PD have been identified by various molecular methods. The aim of the present study was to determine the normal values of G6PD and deficiency prevalence of this enzyme in male neonates and then determination of the type molecular variant of G6PD prevalence in Middle Euphrates Province of Iraq. Objective: The objective of this study was to investigate the molecular basis of glucose-6phosphate dehydrogenase (G6PD) deficiency in hyperbilirubinemic neonates in Middle Euphrates province of Iraq. Molecular methods (genomic DNA extraction, polymerase chain reaction and restriction fragment length polymorphism analysis) and then investigate the type of G6PD variant predominantly present have been performed. Methods: The study included a total of 917 full-term male neonates which were divided into two groups: The first group which include 704 neonates (76.8%) associated with severe hyperbilirubinemia were admitted in Middle Euphrates Province Teaching Hospitals of Maternity and Pediatrics during 1 Oct., 2007 to 12 July, 2008 with age ranged between 1 – 28 days, their total serum protein , TSB levels ≥ 15 mg/dl. The second group which include 213 neonates (23.2%) with the same age ranged were used as control group, their TSB levels ˂ 1 mg/dl. The blood sample taken from each neonate was divided into two aliquots: the first aliquot was used for the determination of total and serum conjugated bilirubin (TSB and SCB), and G6PD activity. The second aliquot was used for molecular analyses including genomic DNA extraction and then application of polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) protocols. Results and Discussion: Severe hyperbilirubinemic neonates were screened for erythrocyte G6PD enzyme activity, severe G6PD deficiency was detected in 75 of 704 hyperbilirubinemic neonates included and their activity levels was significantly decreased (P < 0.05) to less than 10% of that found in control group. Therefore, the incidence of severe G6PD deficiency identified in Middle Euphrates Province of Iraq was 10.65%. TSB levels were markedly elevated to ( ≥ 15 mg/dl), whereas the mean ± SD values of SCB were significantly lower than that found in controls (P < 0.05) , SCB was undetectable in 32 of 75 (42.67%) of hyperbilirubinemic neonates with severe G6PD deficiency which imply a partial defect of bilirubin conjugation. The molecular part of the study involved the extraction of genomic DNA from hyperbilirubinemic neonates with severe G6PD deficiency which was detected by agarose gel electrophoresis and then amplified by PCR and finally was subjected to digestion by endonuclease restriction enzymes to create RFLP and to enable the detection B Molecular Basis of G6PD Deficiency in Hyperbilirubinemic. Fadhil Jawad Al-Tu'ma
Vertical and horizontal variation in natural chloroform in two adjacent soil profiles in a coniferous forest

Naturally produced chloroform is occasionally detected in soil and groundwater of non-urban areas in concentrations that can exceed the regulatory levels. In this study, we present the distribution of naturally produced chloroform in a temperate coniferous forest from top soil to upper groundwater. Chloroform is most likely produced by the activity of fungi, and the production varies therefore with the domains of certain unidentified fungi. We show that the differences in concentration within 10 metres can approach two orders of magnitude in the top soil. The difference in chloroform concentrations in upper groundwater within the same distance is almost one order of magnitude. The concentration of chloroform in the top soil varies significantly with season, while season affect deeper levels much less.
Empirical evidence on the role of

This paper examines the effect of social connections on the initial employment of university graduates. I use a unique dataset that matches post graduation employment data to information on social connections from facebook.com. I document that social connections are related to initial job placement. Two facebook friends are four times more likely to work for the same employer after graduation than two random students. This relationship does not appear to be merely a spurious correlation – three different strategies to address potential endogeneity all suggest that the relationship is causal. In addition, the number of facebook friends is positively associated with the probability of a job offer at the time of graduation. At the same time, I do not find evidence that the structure or composition of a student’s social network affects employment outcomes. I would like to thank Steven Puller with whom I collected the data used in this paper. I am grateful to Samantha Wilson, Larry Malota, Dustin Moscovitz, and Arnie Vedlitz for their time and assistance in acquiring our data. I received numerous helpful comments from Richard Dunn, Jason Fletcher, Li Gan, Steven Puller, and from seminar participants at Seattle University and at the Texas A&M Applied Micro Workshop.