Miracle-dz/UniFAR-FTUs huggingface dataset:
Family Background, Neighborhoods and Intergenerational Mobility

This paper reviews the literature on intergenerational mobility. While our review is centered around the large empirical literature on this topic, we also give a brief discussion of some of the relevant theory. We consider three strands of the empirical literature. First, we discuss how to measure intergenerational persistence in various socio-economic outcomes. We discuss both measurement challenges and some notable findings. We then turn to quantifying the importance of family environment and genetic factors for children's outcomes. We describe the pros and cons of various approaches as well as key findings. The third strand is concerned with drawing causal inferences about how children's outcomes are affected by specific features of their family environment. We discuss a wide range of environmental features, including the neighborhoods in which children grow up. We critically assess what conclusions one may and may not draw from certain celebrated studies of neighborhoods and intergenerational mobility. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber. org.
PRBM_A_231577 1257..1268

1Centre for Oncology Education and Research Translation (CONCERT), Ingham Institute for Applied Medical Research & University of New South Wales, Liverpool, New South Wales, Australia; 2FORwards, International Psycho-Oncology Society Fear of Cancer Recurrence Special Interest Group, Ottawa, Canada; 3School of Psychology, University of Sydney, Sydney, New South Wales, Australia; 4School of Nursing, Queen’s University, Kingston, Ontario, Canada; 5Division of Cancer Care and Epidemiology, Queen’s Cancer Research Institute, Kingston, Ontario, Canada; 6School of Psychology, University of Ottawa, Ottawa, Ontario, Canada; 7Unit for Psychooncology and Health Psychology (EPoS), Department of Oncology, Aarhus University Hospital and Department of Psychology and Behavioural Science, Aarhus University, Aarhus, Denmark; 8Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands; 9Scientific Research Department, Helen Dowling Institute, Bilthoven, the Netherlands
IMPACT OF THE FINANCIAL CONTROL OF MARKETING COMMUNICATION ACTIVITIES ON COMPETITIVE ADVANTAGE OF SAUDI SERVICE ORGANIZATIONS

This study aimed to determine the effect of financial control of marketing communication activities on the competitive advantage dimensions of services organizations in Saudi Arabia, as well as to investigate the statistical differences in the research variables according to some organizational factors. The study population consists of two parts, the first part represents the service organizations in Saudi Arabia reaches 206 in 2019, and the second part is the actual customers of such surveyed organizations in Riyadh city reaches 8 million in 2019. The full survey of all service organizations and the purposive sampling methods are used. The response rate of survived organizations reaches 64.5% of total surveyed organizations, while the sample size of customers is 1500 and 97.5% of total distributed questionnaires estimate 1463 questionnaires. The descriptive methodology is used and the questionnaire is the key tool to collect the primary data. The study concludes that there is it is found that there is a statistically significant effect of the financial control in the MC on the competitive advantage, the study also concludes that there are significant statistical differences in the financial control of MC Activities according to listed on the stock markets. Finally, the study suggests some recommendations that enhance the financial control of marketing communication activities in such organizations through increasing the efficiency of control systems for marketing communication activities, and give greater flexibility in budgeting and expected variations, and using the costbased strategy to maximize the business performance of such organizations.
Modeling the mechanistic behavioral logic supporting adherence to hormone therapy in breast cancer patients

This project proposed that given a basic model of the decisional logic driving stable adherence it might be possible to reliably anticipate increased vulnerability to discontinuation and use such a mode to design behavioral interventions that are specifically tailored to deliver course corrections that are temporally and contextually optimal. A logistic regression was coded and run using the core model predicted by the experts as a base for how the variables interact to make predictions. Then a logistic regression with stepwise selection was coded and run using the core model as a base for how the variables interact and to allow for variables to be added to make the prediction more accurate. The logistic regression with stepwise selection produced both an augmented core model and a de novo model. There were two nodes that had a variable added over 75% of the time to the augmented core. These nodes were health literacy and treatment fatigue. The accuracy for the core model, augmented core model, and de novo model were all accurate with respective overall accuracies being 63.5%, 66.3%, and 67.4%. However, it is important to note that we were able to outperform the expert model by doing the logistic regression with stepwise selection. The results show that the causal interaction diagram predicted by the experts was fairly accurate. These results then can be used to further the research needed to make a program that will help predict the chances of adherence and to be able help doctors work with the patients to stay adherent.
A Comprehensive Review of Possibility using Solar Energy for Electricity Generation in Libya

Libya suffers from electricity shortages, and many challenges will have to be overcome to meet future increases in electrical demands. The deficiency of electricity generation in Libya is clearly manifested in the fact that demand on electricity still exceeds its supply as blackouts become more frequent. In peak demand time, blackouts and outages are the major phenomena in almost all the Libyan regions. Due to technical issues, illegal connections and throughout the lengthy civil war, the generation and transmission in addition to distribution functions suffered partial destruction and consequent outages. For all the mentioned problems, Renewable energy sources and technologies have potential to provide solutions to the long-standing energy problems being faced by the Libyan electricity. Alternative renewable energy sources like solar energy technology can be an important part of Libya's plan not only to add new capacity but also to increase energy security, address environmental concerns, as well as to overcome energy shortage. Libya is very rich in solar energy resources and possesses large wasteland areas in the Sahara that represent 88% of the total area and much of this is relatively flat. Libya is one of the countries with the abundance of this type of energy, with a daily average of the sunshine reached to 8.1 kWh/m2 /day, and where annual solar activity more than 3500 kWh/m2/year on the horizontal surface. Losses in the transmission and distribution system will be reduced since power is generated near loads. The grid availability and stability will increase and individuals can save money in their electricity bill and finally the generated power is clean and nonpolluting. This paper presents the main sources of alternative renewable energy in Libya and its potential besides the main reasons Libya is turning to alternative energy solutions; to fully utilize its renewable energy resources, fulfill the energy demand in the future and to reduce the outages of electricity and carbon emissions. The study also found that, there is need to investigate more the potential of offshore-wind, biomass, and hydro (tide and wave thermal energy). The paper finishes with some conclusions and recommendations.
Analgesia in Critically Ill Patients

CE Critically ill patients may benefit from administration of analgesics because untreated pain has detrimental effects on the healing, nutrition, immune system, and overall wellbeing of an animal. The treatment of pain is best approached with multimodal therapy, which combines the use of systemically administrated analgesics by intermittent dosing, continuous intravenous administration, local analgesic techniques, or transdermal application. Effective pain relief should be considered part of treating critically ill animals. of a painful site, licking or mutilation of the affected area, or lameness. Other signs that may be referable to pain include atypical behavior, depression, anorexia, sleep deprivation, lack of grooming, aggressiveness, avoidance behavior, fear, anxiety, and apprehension. Physiologic signs that may be noted include salivation, mydriasis, tachypnea, tachycardia, hypertension, hyperglycemia, and elevated serum levels of corticotropin and cortisol (see box on page 434). Because of the detrimental physiologic effects of pain, it is imperative to recognize the presence of pain and initiate prompt, appropriate therapy in critically ill patients. It has been argued that the presence of pain may be helpful in ill patients. For example, pain may prohibit an animal from using an injured leg or may help maintain blood pressure by inducing catecholamine release. However, it is known that pain induces many physiologic changes that may be detrimental to patients. Pain causes release of catecholamines, resulting in increased sympathetic tone and vasoconstriction. This may result in decreased gastrointestinal (GI) and urinary tone, decreased blood flow to the GI tract, GI ulcer formation, and increased skeletal muscle tone. Decreased regional blood flow to the pancreas may increase the incidence of pancreatiJune 2005 433 COMPENDIUM Analgesia in Critically Ill Patients Jane E. Quandt, DVM, MS, DACVA Justine A. Lee, DVM, DACVECC Lisa L. Powell, DVM, DACVECC University of Minnesota Send comments/questions via email editor@CompendiumVet.com or fax 800-556-3288. Visit CompendiumVet.com for full-text articles, CE testing, and CE
Secondary special education teachers’ beliefs towards their teaching self-efficacy

The self-efficacy of special education teachers is a key aspect of the educational process for inclusive learning and co-teaching. However, research on self-efficacy perceptions in the area of special education and particularly in the field of parallel support is very limited. The aim of this research is to adapt a scale measuring the beliefs of special education teachers’ self-efficacy in supporting students who need parallel support in secondary education and therefore to investigate those beliefs, as well as the factors that affect them. The study involved 147 special educators for supporting students in Greek junior high schools or high schools. The “Teachers' Sense of Efficacy Scale” (TSES) by Tschannen-Moran & Woolfolk-Hoy (2001) was adapted to study and investigate the research questions. The results demonstrate that special education teachers report high levels of teaching self-efficacy with male special education teachers being distinguished by significantly higher self-efficacy levels compared to females. Moreover, the results revealed a positive correlation between the experience of participants and their levels of self-efficacy, a small negative correlation between the number of supported students and their levels of self-efficacy regarding teaching strategies and a medium negative correlation between the number of supported students and their levels of self-efficacy regarding student management.
LOWNESS FOR BOUNDED RANDOMNESS

In [3], Brodhead, Downey and Ng introduced some new variations of the notions of being Martin-Löf random where the tests are all clopen sets. We explore the lowness notions associated with these randomness notions. While these bounded notions seem far from classical notions with infinite tests like Martin-Löf and Demuth randomness, the lowness notions associated with bounded randomness turn out to be intertwined with the lowness notions for these two concepts. In fact, in one case, we get a new and likely very useful characterization of
Variability among different yield and yield contributing traits of Okra (Abelmoschus esculentus L. Moench) genotypes

An investigation was undertaken during rabi season of 2018 to evaluate fifteen okra genotypes for agro-morphological traits. Variability parameters indicated high GCV and PCV values for the number of fruits per plant, yield per plant and 100 seed weight and the narrow differences between GCV and PCV determine that traits under study had negligible environmental influence. High values of heritability coupled with high genetic advance were recorded for all the traits studied. Fruit length and the number of fruits per plant had a positive and significant correlation with yield per plant. The number of fruits per plant had the highest positive and direct effect on yield per plant. The first four principal components (PC1 to PC4) gave eigenvalues > 1 and cumulatively expressed 84.28 per cent of the total variation. Cluster analysis suggested that the hybridization of cluster I with cluster II will be favourable for developing varieties under multiple environmental conditions in India. Therefore, these quantitative traits in these clusters can be selected to enhance yield potential as they will be beneficial in developing promising varieties under diverse climatic conditions throughout India.
Syn- to post-rift alluvial basin fill: seismic stratigraphic analysis of Permian-Triassic deposition in the Horda Platform, Norway

Discrepancies in models of continental rift-basin dynamics and stratigraphic response calls on further investigation on the subject. Geometricand lithological trends between stages of faulting is studied in the PermianTriassic continental rift succession in the Horda Platform. The Horda Platform occupies the northeastern margin of the North Sea aulacogen where Late Permian-Early Triassic faulting shaped the Caledonian pre-rift landscape into a series of N-S trending half-graben basins, filled by Permian-Triassic strata. A tectonostratigraphic model developed from seismicand well-data details the Permian-Triassic basin fill and structural basin development. Regional unconformities mark the top and base of the succession, while internally, six depositional sequences are delineated by erosionaland transgressive surfaces. Thickness maps reveal three syn-rift stages, where strain migrated and concentrated in different parts of the developing rift basin, from disconnected faults and scattered depocentres with varying accommodation space hosting deposits of different thicknesses, to fully linked faults bounding half-graben basins with expanded and connected depocentres. The lithology through the syn-rift stages reflect how sedimentation gradually outpace accommodation space creation. The overlying thick post-rift succession shows no evidence of rifting besides a minor fault-displacement along the Øygarden Fault Zone in the Late Triassic, reflected by slight wedging. Meanwhile distinct interchanging sandand mud-dominated intervals reflect strong climatic fluctuations during the post-rift. The spatio-temporal heterogeneity in fluvial facies makes stratigraphic correlation challenging and is further complicated by discontinuous surfaces caused by basin floor tilting. With this study, classical sequence stratigraphic models are evaluated and revised against the observations from the Horda Platform. The stratigraphic model presented takes into account the dynamics of strain along faults through time and space and the resulting diachronic boundaries between the rift stages. Key-words: Continental rift-basin dynamics, Permian-Triassic, Horda Platform, tectonostratigraphy, fault growth, climate
Finance, Law and Poverty: Evidence from India

Using state-level data from India over the period 1983 to 2005, this paper shows a strong negative relationship between financial depth (as measured by credit volume) and rural poverty. Instrumental variable regressions suggest that this relationship is robust to endogeneity biases. Furthermore, financial deepening has a bigger impact on rural poverty alleviation than outreach (as measured by branch penetration). We find suggestive evidence that financial deepening reduced poverty rates especially among self-employed in the rural areas and also supported an inter-state migration trend from rural areas into the tertiary sector in urban areas, consistent with financial deepening being driven by credit to the tertiary sector. Our findings suggest that financial deepening contributed to poverty alleviation in rural areas by fostering entrepreneurship and inducing geographic-sectoral migration.
Evaluation of toxic effect of plant extracts having insecticidal effect to Sand fly

The established vector for Kala-azar (VL) Phlebotomus argentipes is developing tolerance/resistance against the common insecticide (DDT). However, the insecticidal effect of wild plant i.e. Clerodendron infortunatum leaf (Hexane extract) was found effective in killing 63% sand flies that can be enhanced with formulation of lead molecules. Hence, its toxicity evaluation to humans is pre-requisite. Percentage Hemolytic Inhibition activity of the extract was observed with IC50 value of 25.80 mg/L, 18.68 mg/L & 15.90 mg/L at 450 nm, 490 nm & 655 nm wavelengths respectively. The extract was found non-toxic and safer to use as a new insecticide against Sand fly. © 2014 Elixir All rights reserved ARTICLE INF O Artic le hi story: Received: 25 July 2014; Received in revised form: 29 September 2014; Accepted: 24 October 2014;
Universal Barrier is n-Self-Concordant

This paper shows that the self-concordance parameter of the universal barrier on any ndimensional proper convex domain is upper bounded by n. This bound is tight and improves the previous O(n) bound by Nesterov and Nemirovski. The key to our main result is a pair of new, sharp moment inequalities for s-concave distributions, which could be of independent interest.
Synthesis and characterization of natural red dye from Caesalpinia sappan linn

The study reports the synthesis and characterization of natural red dye. The dyes were extracted from woods of Caesalpiniasappanlinn at varied temperatures of 70, 80, 90, and 100°C for three hours. The dry wood chips and water at a ratio of 6:1 were immersed in the reactor of 150 liters. The absorbance spectra of the natural red dyes were measured by ultra-violet-visible spectroscopy. Meanwhile, Fourier transform infrared spectroscopy was used to investigate the functional groups of the natural red dyes. In addition, the basic production cost was calculated and the fastness property towards cotton fabrics was investigated according to the Indonesia national standard of 105-C06:2010, 105-B01:2010, and 0288-2008. The results showed that the functional groups found the extracted red dyes indicated the complex bond of brazilein with peak absorbance at a wavelength of 538-540 nm. The extraction temperature also changed the functional group of brazilein. From the color, the absorbance peak, the functional group.
High commitment HRM and burnout of frontline food service employees: a moderated mediation model

PurposeDrawing from the Job Demands-Resources (JD-R) framework and Conservation of Resources (COR) theory, the authors’ study examines the impact of high commitment HR management (HCHRM) practices and psychological capital (PsyCap) on job autonomy and job demands in predicting burnout in frontline food service employees.Design/methodology/approachA moderated mediation model was developed and tested on 257 Australian workers employed in the food service industry. Hypotheses were tested using structural equation modeling.FindingsThere was support for the mediation effect of HCHRM on burnout, via two sequential mediators: job autonomy and job demands. PsyCap was found to buffer (moderation) the effect of job demands on burnout. Frontline employees also perceived HCHRM to be a “negative signal” that was implemented for the good of management.Research limitations/implicationsThe authors are aware of the potential of common method variance due to the cross-sectional research design. Future research should adopt a longitudinal research design or collect data from several sources of informants. As the authors did not find support for the optimistic perspective hypothesis, despite its theoretical and empirical relevance under JD-R and COR perspectives, they call for further research exploring the link between HRM, job design and psychological conditions in promoting employee wellbeing.Practical implicationsBurnout is one of the most common and critical health issues faced by frontline food service employees. Food service organizations have to strategize their management practices to reduce employees' experience with burnout by implementing high commitment enhancing HR practices and developing employees' PsyCap.Originality/valueThis study provided a better understanding of how (macro) HCHRM practices as an organizational resource reduce burnout of frontline food service employees via two (micro) mediators: job autonomy and job demands. PsyCap is an important personal resource that lessens burnout, consistent with the COR theory. These findings contribute to the literature on strategic HRM and its relationship to employee wellbeing.
Semantic Role Labeling in Portuguese: Improving the State of the Art with Transfer Learning and BERT-based Models

Semantic role labeling is the natural language processing task of determining "Who did what to whom", "when", "where", "how", etc. In this thesis, we explored state of the art techniques for this task in English and applied them to Portuguese. Using a model architecture with only a pre-trained BERT-based model (a language model), a linear layer, softmax and Viterbi decoding, we improved the state of the art performance in Portuguese by over 15F1, using their methodology. Moreover, using a robust methodology designed by us, we compared the usage of monolingual and multilingual pre-trained models for this task, and applied techniques such as crosslingual transfer learning and transfer learning from dependency parsing to improve our results. We provide an evaluation of the models obtained and a heuristic to choose the most appropriate one for different applications based on the obtained results. We find that using the state of the art techniques in multilingual models, these surpass the Portuguese models for the semantic role labeling task in this language, possibly relieving the need to train monolingual models when the data for a specific language is not abundant.
Comparing Principal Component Analysis (PCA) and -Variational Autoencoder (ß-VAE) for Anomaly Detection in Selective Laser Melting (SLM) Process Data

The usability of machine learning approaches for the development of in-situ process monitoring, automated anomaly detection and quality assurance for the selective laser melting (SLM) process receives currently increasing attention. For a given set of real machine data we compare two established methods, principal component analysis (PCA) and β -varia- tional autoencoder ( β -VAE), for their applicability in exploratory data analysis and anomaly detection. We introduce a PCA-based unsupervised feature extraction algorithm, which allows for root cause analysis of process anomalies. The β -VAE enables a slightly more compact dimensionality reduction; we consider it an option for automated process monitoring systems.