Miracle-dz/UniFAR-FTUs huggingface dataset:
Differences in Managerial Jobs at the Bottom, Middle, and Top: A Review of Empirical Research

It has become popular in the practices of leadership development and talent management to segment managers at different organizational levels in order to focus on the unique requirements thought to characterize jobs at each level. This movement has been spurred by popular books that emphasize differences in the nature of managerial work at different hierarchical levels. Seemingly independent of popular work in this area has been scientific research to describe differences in managerial jobs across organizational levels. The present article summarizes the extensive research literature on level differences in managerial jobs in terms of three broad generalizations: The number of distinct management levels, five different ways to characterize work at each level, and how radical differences in work at each level pose adaptive challenges to managers who transition into positions of greater authority and responsibility. The article closes with commentary on the current state of theory and research and offers su.
Negative Regulation of Soluble Flt-1 and Soluble Endoglin Release by Heme Oxygenase-1

Background— Preeclampsia is characterized clinically by hypertension and proteinuria. Soluble Flt-1 (sFlt-1; also known as soluble vascular endothelial growth factor receptor-1 [VEGFR-1]) and soluble endoglin (sEng) are elevated in preeclampsia, and their administration to pregnant rats elicits preeclampsia-like symptoms. Heme oxygenase-1 (HO-1) and its metabolite carbon monoxide (CO) exert protective effects against oxidative stimuli. Thus, we hypothesized that HO-1 upregulation may offer protection against preeclampsia by inhibiting sFlt-1 and sEng release. Methods and Results— Preeclamptic villous explants secreted high levels of sFlt-1 and sEng. Adenoviral overexpression of HO-1 in endothelial cells inhibited VEGF-mediated sFlt-1 release and interferon-&ggr;– and tumor necrosis factor-&agr;–induced sEng release, whereas HO-1 inhibition potentiated sFlt-1 and sEng production from endothelial cells and placental villous explants. Consistent with these findings, mice lacking HO-1 produced higher levels of sFlt-1 and sEng compared with wild-type mice. Using selective ligands (VEGF-E and placental growth factor) and a receptor-specific inhibitor (SU-1498), we demonstrated that VEGF-induced sFlt-1 release was VEGFR-2 dependent. Furthermore, CO-releasing molecule-2 (CORM-2) or CO decreased sFlt-1 release and inhibited VEGFR-2 phosphorylation. Treatment of endothelial cells with statins upregulated HO-1 and inhibited the release of sFlt-1, whereas vitamins C and E had no effect. Conclusions— The present study demonstrates that the HO-1/CO pathway inhibits sFlt-1 and sEng release, providing compelling evidence for a protective role of HO-1 in pregnancy, and identifies HO-1 as a novel target for the treatment of preeclampsia.
Transformational leadership, transactional leadership, locus of control, and support for innovation: key predictors of consolidated-business-unit performance

The authors used measures of leadership, locus of control, and support for innovation to predict the consolidated-unit performance of 78 managers. Results revealed that 3 transformational-leadership measures were associated with a higher internal locus of control and significantly and positively predicted business-unit performance over a 1-year interval. Transactional measures of leadership, including contingent reward and management by exception (active and passive), were each negatively related to business-unit performance. Causal relationships between the transformational-leadership behaviors and unit performance were moderated by the level of support for innovation in the business unit
Choosing social situations: Investigating the origins of correspondence between attitudes and behavior

By choosing to enter and spend time in those social situations that will dispose them to perform the actions implied by their personal attitudes, individuals may generate correspondence between their attitudes and their behavior. To investigate this process, we allowed individuals to choose whether to enter and spend time in a social situation that supported the behavioral expression of attitudes favorable toward affirmative action. For low-self-monitoring individuals, those with favorable attitudes toward affirmative action were substantially more willing than were those with unfavorable attitudes to enter and spend time in this social situation. For high self-monitoring individuals, willingness to enter and spend time in this social situation was unrelated to personal attitudes toward affirmative action; at the same time, high self-monitoring females were more likely than high self-monitoring males to choose to enter and to spend time in this social situation. Implications of these findings for understanding the links between self-monitoring processes and the origins of correspondence between attitudes and behavior were discussed.
GHz-wide sensing and decoding using the sparse Fourier transform

We present BigBand, a technology that can capture GHz of spectrum in realtime without sampling the signal at GS/s - i.e., without high speed ADCs. Further, it is simple and can be implemented on commodity low-power radios. Our approach builds on recent advances in the area of sparse Fourier transforms, which show that it is possible to reconstruct a sparse signal without sampling it at the Nyquist rate. To demonstrate our design, we implement it using 3 software radios, each sampling the spectrum at 50 MS/s, producing a device that captures 0.9 GHz - i.e., 6× larger digital bandwidth than the three software radios combined. Finally, an extension of BigBand can perform GHz spectrum sensing even in scenarios where the spectrum is not sparse.
Multicast on irregular switch-based networks with wormhole routing

This paper presents efficient multicasting with reduced contention on irregular networks with switch-based wormhole interconnection and unicast message passing. First, it is proved that for an arbitrary irregular network with a typical deadlock-free, adaptive routing, it may not be possible to create an ordered list of nodes to implement an arbitrary multicast in a contention-free manner with minimal number of communication steps. Next, three different multicast algorithms are proposed with their respective node orderings to reduce contention: switch-based ordering (SO), switch-based hierarchical ordering (SHO), and chain concatenation ordering (CCO). A variation of a binomial tree-based communication pattern with unicast message passing is used on the above ordered lists to implement multicast. The proposed multicast algorithms are compared with each other as well as with the naive random ordering (RO) algorithm for a range of system sizes, switch sizes, message lengths, degrees of connectivity, destination set sizes, and communication start-up times. The CCO algorithm is shown to be the best to implement multicast with reduced contention and minimum latency. Such results related to multicast on irregular networks are the first of their kind in the wormhole literature. Thus, these demonstrate significant potential to be applied to current and future generation NOW systems with irregular interconnection.
Application of Escape Theory to Binge Eating and Suicidality in College Women

According to Baumeister (1990; Heatherton & Baumeister, 1991), certain behaviors are motivated by the desire to escape negative affect. This study tested the hypothesis that individuals engaging in the “escape behaviors” of binge eating and suicidal ideation share common psychological characteristics. Women college students (n = 170) were classified into four groups according to whether they binged (yes/no) and whether they reported suicidal thoughts (yes/no). A MANOVA comparing the groups on negative affect, irrational thinking, self-awareness, self-esteem, and body esteem was significant (p < 001). Planned comparisons revealed significant differences between bingeing women and controls on body esteem, between women with suicidal thoughts and controls on self-esteem, negative affect, and irrational thinking, and between bingeing-suicidal women and controls on self-esteem, negative affect, irrational thinking, and body esteem (all ps < 05), with “escape behavior” groups appearing more disturbed on these v.
Use of Autogenous Bone Graft Compared With RhBMP in High-risk Patients: A Comparison of Fusion Rates and Time to Fusion

Study Design: A retrospective study. Objective: To evaluate whether recombinant human bone morphogenetic protein (rhBMP-2) can improve fusion rates and time to fusion in high-risk patients when compared with autograft in lumbar posterolateral fusion. Summary of Background Data: The use of rhBMP-2 in the general population for posterolateral fusion has resulted in relatively good reported outcomes; however, it is currently considered “off-label” use. Few studies, however, have determined the outcomes of rhBMP-2 when used in patients with numerous risk factors for a pseudarthrosis. Methods: One hundred ninety-five patients were divided into 4 groups depending on fusion material and the presence/absence of fusion-related risk factors for nonunions; group A was defined as rhBMP-2 used in the presence of high-risk factors (FRRF), group B was defined as rhBMP-2 used in the absence of FRRF, group C was defined as autograft used in the presence of FRRF, and group D was defined as autograft used in the absence of FRRF. The time to fusion, fusion rate were compared between each group. Results: The time to fusion was significantly faster in group B than in group D in patients with no history of smoking (P<0.05), hypertension (P<0.01), or other significant comorbidity (P<0.05). The time to complete fusion was also significantly faster in group B than in group D in patients under the age of 65 (P<0.05), patients undergoing primary surgery (P<0.05), single-level surgery (P<0.01), no smoking history (P<0.05), no diabetes mellitus (P<0.01), no hypertension (P=0.001), no osteoporosis (P<0.01), and no significant comorbidity (P<0.01). Although the fusion rate was higher in group B than in group D, with the exception of sex and single-level surgery, there were no significant differences between groups B and D. Although initial fusion mass and time to solid fusion was faster in group A than in group C, there were no significant differences between groups A and C. In addition, fusion rates were higher in group C than in group A, looking at all factors except revision surgery, but the differences were not statistically significant. Conclusions: With relative low dosage of rhBMP-2 compared with the dose used in Food and Drug Administration trial, in patients without fusion-related risk factors, rhBMP-2 may lead to acceptable fusion rates and faster fusion time when compared with autograft. Therefore, rhBMP-2 may serve as an acceptable alternative to autogenous bone graft in patients without fusion-related risk factors undergoing instrumented posterolateral lumbar fusions. When compared with patients with fusion-related risk factors, the use of rhBMP-2 was comparable with autograft but was not sufficient to overcome all aspects of the weakened osteoinductive capacity encountered in patients with these risk factors.
A numerical prognostic index for clinical use in identification of poor-risk patients with Hodgkin's disease at diagnosis. The Scotland and Newcastle Lymphoma Group (SNLG) Therapy Working Party.

The aim of this study was to assess the feasibility of using objective data obtained at the time of diagnosis of Hodgkin's disease to predict those patients who were likely to die of progressive disease within four years. Ninety-two consecutive patients from one centre (Newcastle upon Tyne) were used to construct a numerical index based on disease stage (Ann Arbor), age, haemoglobin and absolute lymphocyte count. Weight was assigned according to a predictive value from univariate and multivariate analyses based on survival. The index produced was then validated on a separate patient set (455) from other centres within the Scotland and Newcastle Lymphoma Group (SNLG) on whom the same prospective information was available. The index produced provided a useful separation of those patients destined to die of disease. In 101 patients with index > 0.5, 62 (61.4%) were dead at four years, whereas with index < 0.5, 61 (18%) of 336 patients were dead at four years. The index includes Ann Arbor stage but possesses additional practical prognostic value which allows identification of patients with early stage destined to die of disease. Of 149 patients with Stage IA and IIA disease 15 patients had index > 0.5, and 10 (60%) have died, whereas the remaining patients had survival of 90% and 85% respectively. This numerical index has now been strengthened by an added factor for bulk disease > 10 cms and in the SNLG it has replaced Ann Arbor staging for selection of patients requiring aggressive therapy. A randomized study of chemotherapy versus chemotherapy plus autotransplant in first remission using high dose melphalan and VP16 is currently in progress.
Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models: Current status and future directions

Soil is the largest organic carbon (C) pool of terrestrial ecosystems, and C loss from soil accounts for a large proportion of land‐atmosphere C exchange. Therefore, a small change in soil organic C (SOC) can affect atmospheric carbon dioxide (CO2) concentration and climate change. In the past decades, a wide variety of studies have been conducted to quantify global SOC stocks and soil C exchange with the atmosphere through site measurements, inventories, and empirical/process‐based modeling. However, these estimates are highly uncertain, and identifying major driving forces controlling soil C dynamics remains a key research challenge. This study has compiled century‐long (1901–2010) estimates of SOC storage and heterotrophic respiration (Rh) from 10 terrestrial biosphere models (TBMs) in the Multi‐scale Synthesis and Terrestrial Model Intercomparison Project and two observation‐based data sets. The 10 TBM ensemble shows that global SOC estimate ranges from 425 to 2111 Pg C (1 Pg = 1015 g) with a median value of 1158 Pg C in 2010. The models estimate a broad range of Rh from 35 to 69 Pg C yr−1 with a median value of 51 Pg C yr−1 during 2001–2010. The largest uncertainty in SOC stocks exists in the 40–65°N latitude whereas the largest cross‐model divergence in Rh are in the tropics. The modeled SOC change during 1901–2010 ranges from −70 Pg C to 86 Pg C, but in some models the SOC change has a different sign from the change of total C stock, implying very different contribution of vegetation and soil pools in determining the terrestrial C budget among models. The model ensemble‐estimated mean residence time of SOC shows a reduction of 3.4 years over the past century, which accelerate C cycling through the land biosphere. All the models agreed that climate and land use changes decreased SOC stocks, while elevated atmospheric CO2 and nitrogen deposition over intact ecosystems increased SOC stocks—even though the responses varied significantly among models. Model representations of temperature and moisture sensitivity, nutrient limitation, and land use partially explain the divergent estimates of global SOC stocks and soil C fluxes in this study. In addition, a major source of systematic error in model estimations relates to nonmodeled SOC storage in wetlands and peatlands, as well as to old C storage in deep soil layers.
Reservoir Boosting : Between Online and Offline Ensemble Learning

We propose to train an ensemble with the help of a reservoir in which the learning algorithm can store a limited number of samples. This novel approach lies in the area between offline and online ensemble approaches and can be seen either as a restriction of the former or an enhancement of the latter. We identify some basic strategies that can be used to populate this reservoir and present our main contribution, dubbed Greedy Edge Expectation Maximization (GEEM), that maintains the reservoir content in the case of Boosting by viewing the samples through their projections into the weak classifier response space. We propose an efficient algorithmic implementation which makes it tractable in practice, and demonstrate its efficiency experimentally on several compute-vision data-sets, on which it outperforms both online and offline methods in a memory constrained setting.
Category structure affects the developmental trajectory of children's inductive inferences for both natural kinds and artefacts

Inductive reasoning is fundamental to human cognition, yet it remains unclear how we develop this ability and what might influence our inductive choices. We created novel categories in which crucial factors such as domain and category structure were manipulated orthogonally. We trained 403 4–9-year-old children to categorise well-matched natural kind and artefact stimuli with either featural or relational category structure, followed by induction tasks. This wide age range allowed for the first full exploration of the developmental trajectory of inductive reasoning in both domains. We found a gradual transition from perceptual to categorical induction with age. This pattern was stable across domains, but interestingly, children showed a category bias one year later for relational categories. We hypothesise that the ability to use category information in inductive reasoning develops gradually, but is delayed when children need to process and apply more complex category structures.
Quality of Life for the Camberwell Cohort

Background: Despite the acknowledged difficulties of measuring satisfaction for people with intellectual disabilities, the current study examined the quality of life (QoL) of the Camberwell Cohort, a total population sample of people with severe intellectual disability and/or autism [Wing & Gould, Epidemiology and Classification, 9, 1979, 11]. Methods: The Lifestyle Satisfaction Scale (LSS) [Harner & Heal, Research in Developmental Disabilities, 14, 1993a, 221] was combined with selected questions from the Quality of Life Questionnaire Schalock & Keith 1993, Quality of Life Questionnaire, IDS Publishing Corporation, Worthington and conducted with 12 people with intellectual disabilities and 72 proxy respondents. Results: Inter-rater reliability on overall score was available for 10 participants and was acceptable with a Spearman’s Rank order correlation co-efficient over 0.8. There were no significant differences between the scores of proxies and service users on the domains of the LSS. The sample of service users who completed the interviews was too small to allow further detailed analysis of their responses. However, responses from the proxy interviews indicated that there were no differences in life satisfaction between those socially impaired and socially able. However those with autism were reported to be less satisfied on Community Satisfaction while those with challenging behaviour had lower scores overall and specifically on Community Satisfaction. Those with an IQ below 50 had lower scores overall, than those with an IQ above 50 and specifically on Recreation Satisfaction. Linear regression analysis on total QoL score indicated that only three variables seemed to be important in predicting proxy QoL scores: challenging behaviour at Time 3, IQ at Time 3 and independent living skills at Time 1. Conclusions: Despite the difficulties encountered, this study provided some support for the widely help belief that QoL is lower for those with intellectual disability and for those with challenging behaviour.
Using artificial intelligence to automatically test GUI

This position paper presents a synopsis of the imperative function artificial intelligence (AI) has partaken in software engineering (SE) as well as in software testing. In addition, the paper discusses how graphical user interface (GUI), and event driven software testing can derive benefits from the use of AI techniques. Artificial intelligence has significantly aided the process of the automation of different software process. The employment of AI in software testing is not novel, having played a crucial role in the automation of software testing since its innovation. The usage of AI techniques not only reduces the cost but it also guarantees better quality as well as thorough testing. GUI Testing can be considered as the most challenging area of software testing. Although the results are quite preliminary, but the application of different AI techniques for GUI testing has proven to produce ideal results. Nevertheless, the application of AI techniques in GUI testing, in comparison with software testing, which has procured much assistance by venturing with AI, leaves much to be desired.
Toward a crosslinguistic comparison of lexical quanta in speech and writing

The present study presents contrastive analyses of task-oriented spoken and written discourse in terms of lexical diversity, lexical density, and word length. In an age-matched within-language comparison (Swedish), written discourse consistently scored higher on these measures. It is suggested that the same type of differences will hold for any language, because of the difference between speech and writing in processing constraints. The absolute scores, however, can vary substantially for reasons of language typology. An extended, cross-linguistic analysis (English, Hebrew, Icelandic, Swedish), focusing on word length, was made to substantiate that claim. Further, cross-age-group comparisons of lexical quanta indicated a dynamic interaction between speech and writing in development. Spoken discourse eventually comes to “learn” from the development of writing.
Human Antimicrobial Peptide LL-37 Induces MefE/Mel-Mediated Macrolide Resistance in Streptococcus pneumoniae

ABSTRACT Macrolide resistance is a major concern in the treatment of Streptococcus pneumoniae. Inducible macrolide resistance in this pneumococcus is mediated by the efflux pump MefE/Mel. We show here that the human antimicrobial peptide LL-37 induces the mefE promoter and confers resistance to erythromycin and LL-37. Such induction may impact the efficacy of host defenses and of macrolide-based treatment of pneumococcal disease.
Review: Caffeine: Neuroprotective Functions in Cognition and Alzheimer's Disease

Alzheimer's disease is a common problem in our elderly population. Although research is leading to improvements in our understanding of the underlying biology, we still have little understanding of the environmental risk factors associated with this disorder. Caffeine, an easily modifiable environmental factor, may have a protective effect on the likelihood of developing Alzheimer's disease. This article reviews the association between caffeine from both a biologic and epidemiologic perspective. Further studies are needed to determine whether caffeine consumption could have a major affect on the development of Alzheimer's disease or age-related cognitive decline.