Miracle-dz/UniFAR-FTUs huggingface dataset:
Multifactor Leader Questionnaire Perceived lnteractional Justice Scale Continuance Commitment Scale Work Related Meaning Scale Negative Acts Questionnaire Demographic Variables Pilot Study Procedure

Despite a growing acknowledgement of the negative outcomes for organizational functioning and the health and well-being of individuals attributable to workplace bullying, research into the phenomenon of upward bullying (supervisors bullied by their subordinates), particularly its aetiology, has received modest attention. The aim of the present study was to explore the link between destructive supervisory leadership and upward bullying and the mediating or moderating roles of perceived interactional justice, continuance commitment and workrelated meaning in this relationship. Two hundred and eight post-graduate students and two hundred and four work-based subordinate employees completed an on-line survey of their perceptions of the leadership style and interactional justice of their immediate supervisor, the levels of their own continuance commitment and work-related meaning, and the frequency with which they engaged in specific bullying behaviours targeting their supervisor. As expected, subordinate perceptions of destructive supervisory leadership were strongly associated with an increased incidence of upward bullying, with the strength of this relationship partially mediated by subordinate perceptions of interactional justice within supervisory interactions. In addition, subordinate levels of continuance commitment and work-related meaning moderated the relationship between subordinate perceptions of interactional justice and the incidence of upward bullying, such that this relationship was intensified when either, or both the level of subordinate continuance commitment or workrelated meaning was higher. This paper offers preliminary support for conceptualizing upwards bullying as a retaliatory response to destructive leadership, however due to a reliance on cross-sectional data, inferences of causality cannot be made. Practical implications and directions for future research are discussed.
A review of landholder motivations and determinants for participation in conservation covenanting programmes

Conservation covenants (or easements) are flexible but legally enforceable documents attached to a land title restricting the use of that land, providing for the protection of important conservation values, while allowing the landholder to retain possession. Given the attractiveness of covenants to those who seek to expand national and regional nature conservation initiatives, it is important to understand landholder motivations for participation in programmes that covenant for nature conservation. This paper examines the likely influences on landholder decision making when it comes to conservation initiatives. A review of literature highlights key motivations and determinants, such as landholder demographics and the nature of the land tenure in question, their knowledge and awareness of the programme, financial circumstances, and perceptions of financial and other risks and benefits of the programme itself, including incentives and compensation. Underpinning, or mediating, the decision-making processes will be landholder philosophies and values, and five constructs are determined from the review, namely economic dependence on property, private property rights, confidence in perpetual covenant mechanisms, nature conservation equity and nature conservation ethic. Using these constructs, a series of explicit hypotheses is drawn, applicable to agencies dealing with conservation covenants and testable through an adaptive management approach. A conceptual model is presented to show hypothesized relationships between motivational factors and the five constructs that will lead to the uptake of covenants by landholders, providing direction for policy makers and managers of incentive programmes for nature conservation on private lands.
Maternal Representation of the Mother-Child Relationship as Related to Mother-Child Attachment.

This study examined mothers' conceptualizations of their relationships with their children in relation to the quality of their attachment with them. In a brief interview, 58 mothers were asked about their satisfaction with their relationship with their child and with a non-attachment topic (division of household chores). Mother-child attachment was assessed using the Ainsworth Strange Situation Procedure. Results indicated that mothers in secure attachment relationships with their children were rated more truthful, consistent, realistic, complete, clear in terms of meaning, and clear in terms of discourse as they discussed their satisfaction within the mother-child relationship than were mothers in insecure attachment relationships with their children. Significant differences were also found between mothers in anxious-avoidant and anxious-resistant attachment relationships with their children. As expected, no differences in coherency were found between the same mothers in their response to the non-attachment question. (Author/MDM) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U S. DEPARTMENT OF EOUCATKIN 011)ce ol Educasonal Fre Search and Inwovemenl EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) YTtus documenl nes Oaan roprodutd rece.ceij from the PorSOn Or ofganittoon ongmaling 0 ! Amor thanes nave Nes mad* to Ifeweve reproduCt.O. cwaldy p0nIS Ofwew opth.onS slated in Imsdocu(nem do not necesSanly epromant otlvaI \C) OE RI clos.non or pOhCy 41. Maternal Representation of The Mother-Child Relationship As Related to Mother-Child Attachment Holly A. Burton University of Texas Nancy L. Hazen University of Texas Nell F. Bush University of Texas PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Maternal Representation of The Mother-Child Relationship As Related to Mother-Child Attachment
Human Capital in Economic Development: From Labour Productivity to Macroeconomic Impact

Micro-econometric evidence reveals high private returns to education, most prominently in low-income countries. However, it is disputed to what extent this translates into a macro-economic impact. This paper projects the increase in human capital from higher education in Malawi and uses a dynamic applied general equilibrium model to estimate the resulting macroeconomics impact. This is contingent upon endogenous adjustments, in particular how labour productivity affects competitiveness and if this in turn stimulates exports. Choice among commonly applied labour market assumptions and trade elasticities results in widely different outcomes. Appraisal of such policies should consider not only the impact on human capital stocks, but also adjustments outside the labour market.
Improving management of coral reefs fisheries in data limited situations : Experiences from the ParFish methodology

Coral reef fisheries are complex systems. This is due primarily to the multi-species, multi-gear and high labor mobility that often occurs within the fisheries sector. Since many small-scale fisheries operate in remote areas and/ or in developing coastal states, the quality and quantity of data necessary to undertake basic fisheries management, including robust stock assessments, are often lacking. It is becoming more widely acknowledged that local stakeholder participation is an essential pre-requisite to improve overall management of the resource, but this has rarely engaged them directly within a stock assessment framework to provide information on the status of the resource. This study presents a summary and comparison of three pilot studies undertaken in Turks and Caicos Islands, Zanzibar and Puerto Rico. Through the development of a participatory fish stock assessment (ParFish) methodology, fishers are engaged at the beginning of an ongoing adaptive management process to contribute their valuable knowledge about the fishery. Using a Bayesian statistical model, information obtained from fishers help inform prior statistical distributions that are used to estimate parameters in the stock assessment model. The results have shown that this approach can be used successfully to establish preliminary results of stock status in data limited situations.
The significance of grain morphology, moisture, and strain rate on the rapid compaction of silica sands

There is considerable interest in the high-rate compaction of brittle granular materials such as sand. However, the vast majority of studies focus on a single granular system, limiting our ability to make comparisons between materials to discern how granular structure manifests as bulk material response. Here, three different silica sands with similar grain size and shape are studied: we compare a rough quarry sand, a smoother-grained sand, and a sandy loam. Quasi-static compaction and planar shock loading responses are compared, and recovered samples analyzed. The combination provides information regarding the interplay between granular properties, loading conditions, and material response. We show that the fundamental grain-scale behaviour depends on loading conditions: At low strain rates compaction behaviour is dominated by grain morphology, and in particular, smoothness and particle size distribution. Under shock loading, grain rearrangement and force chain effects are suppressed, and the nature of inter-granular contact points, modified by the presence of moisture or fines, is most important. Furthermore, grain fracture under shock loading is substantially reduced with increasing moisture content.
Anti-inflammatory gp 130-mediated signalling as a therapeutic target

IL-6 is a pleiotropic cytokine that regulates haematopoiesis, inflammation and the immune response. The IL-6 receptor consists of an α chain and gp130, a common subunit that is shared among the receptors of the IL-6 family of cytokines. The binding of IL-6 to its receptor induces the homodimerisation of gp130, resulting in the activation of JAKs (Janus kinases). A variety of signal transduction pathways, such as those mediated by SHP2 and STAT3 (signal transducer and activator of transcription), are then activated. Because both the overexpression of IL-6 and the aberrant activation of the gp130 signal have been implicated in the pathology of a variety of diseases, including rheumatoid arthritis (RA), juvenile chronic arthritis, multiple myeloma/plasmacytoma, Castleman’s disease and Kaposi’s sarcoma, the development of inhibitors of the IL-6 signalling pathway is a promising avenue for the treatment of these diseases. Several approaches have been taken to inhibit the activation of this pathway. One is to interfere with the formation of the IL-6/IL-6Rα/gp130 complex. This strategy has already been used to improve the symptoms of patients with RA, multiple myeloma and Castleman’s disease. Another is the direct targeting of STAT3 activity. Here, we describe the biological activity of IL-6 and of the signal transduction pathways mediated through the IL-6 receptor, and discuss the possible therapeutic applications of IL-6 inhibitors.
Post-CMOS selective electroplating technique for the improvement of CMOS-MEMS accelerometers

This study presents a simple approach to improve the performance of the CMOS-MEMS capacitive accelerometer by means of the post-CMOS metal electroplating process. The metal layer can be selectively electroplated on the MEMS structures at low temperature and the thickness of the metal layer can be easily adjusted by this process. Thus the performance of the capacitive accelerometer (i.e. sensitivity, noise floor and the minimum detectable signal) can be improved. In application, the proposed accelerometers have been implemented using (1) the standard CMOS 0.35 µm 2P4M process by CMOS foundry, (2) Ti/Au seed layers deposition/patterning by MEMS foundry and (3) in-house post-CMOS electroplating and releasing processes. Measurements indicate that the sensitivity is improved 2.85-fold, noise is decreased near 1.7-fold and the minimum detectable signal is improved from 1 to 0.2 G after nickel electroplating. Moreover, unwanted structure deformation due to the temperature variation is significantly suppressed by electroplated nickel.
On tensor product L-functions and langlands functoriality

‎In the spirit of the Langlands proposal on Beyond Endoscopy ‎we discuss the explicit relation between the Langlands functorial transfers and automorphic $L$-functions‎. ‎It is well-known that the poles of the $L$-functions have deep impact to the Langlands functoriality‎. ‎Our discussion also‎ ‎includes the meaning of the central value of the tensor product $L$-functions in terms of the Langlands functoriality‎. ‎This‎ ‎leads to the theory of the twisted automorphic descents for cuspidal automorphic representations of general classical groups‎.
Quantum modeling of light absorption in graphene based photo-transistors

Graphene based optical devices are highly recommended and interested for integrated optical circuits. As a main component of an optical link, a photodetector based on graphene nano-ribbons is proposed and studied. A quantum transport model is presented for simulation of a graphene nano-ribbon (GNR) -based photo-transistor based on non-equilibrium Green’s function method. In the proposed model a self-energy matrix is introduced which takes the effect of optical absorption in GNR channel into account. The self-energy matrix is treated as a scattering matrix which leads to creation of carriers. The transition matrix element is calculated for optical absorption in graphene channel and is used to obtain the optical interaction self-energy. The resulting self-energy matrix is added to retarded Green’s function and is used in transport equations for calculation of current flow in the photo-transistor. By considering the effect of optical radiation, the dark and photocurrent of detector are calculated and results are used for calculation of responsivity.
INFLUENCE OF PLANT RESISTANCE AND NEMATICIDES ON GROWTH AND YIELD OF TOMATO (LYCOPERSICON ESCULENTUM) AND ON POPULATION DYNAMICS OF ROOT-KNOT NEMATODES (MELOIDOGYNE INCOGNITA AND MELOIDOGYNE HAPLA) WITH AN ASSOCIATED STUDY OF ROOT-KNOT NEMATODE

Both growth chamber and field experiments were conducted to study the influence of resistant tomato cultivars and applications of Vorlex (DD MENCS) on the population dynamics of root knot nematode species and growth and yield of subsequent crops of a susceptible tomato 3 3 cultivar. Four initial M. incognita inoculum densities (10 , 5 x 10 , 104 and 105 eggs/500 orT of soil) and two initial M. hapla inoculum o o o ^ densities (10 and 5 x 10 eggs/500 cm of soil) were used. Two resistant tomato cultivars (Nematex and VFN-8) and a susceptible cultivar (Rutgers) were used in studies with M. incognita. A resistant tomato species (Lycopersicon peruviarium), partially resistant (VFN-8) and susceptible (Rutgers) tomato cultivars were used in studies with M. hapla. Field experiments were conducted with M. hapla using the same initial inoculum densities of the nematode and the same tomato cultivars as in the growth chamber experiments. Vorlex was used at 22.5, 45 and 90 L/ha in growth chamber studies and at 45 L/ha in field studies. In the growth chamber studies both resistant and susceptible tomato plants were inoculated with the different initial inoculum density (P.) levels of the Meloidogyne sp. Six weeks after inoculation, plant tops were removed and the nematode population was determined. Vorlex was applied to seven replications of each treatment. An equal number of replicates 6 University of Ghana http://ugspace.ug. edu.gh
Représentations mentales et référence

Dans cet article, nous presentons dans une premiere partie (§ 2 et 3) des approches visant a resoudre les coreferences, basees sur l'etablissement de relations entre segments linguistiques. Nous donnons un certain nombre d'arguments critiques, a partir d'exemples que de telles approches ne permettraient pas de resoudre. La solution que nous proposons (§ 4), bien qu'elle impose de disposer d'une analyse syntaxique et semantique complete des enonces, parce qu'elle necessite entre autres l'identification des evenements, nous semble prometteuse au moins dans des domaines d'application reduits.
Case Study on Storage Characteristics of Hadoop

To process astronomical amount of data, Google developed its unique solution MapReduce. Outside of Google, Hadoop, an open source implementation of MapReduce, is the most well known implementation available to the public. This paper studies the Hadoop cluster with varying parameter values. Experiements focus on how execution time, throughput, and framework administration time are affected by the input data size, HDFS block size, and concurrent Map and Reduce tasks. Our studies show that in a cluster setting of one node, (a) Hadoop execution of Map-only tasks is efficient regardless of input data sizes, (b) the HDFS default block size of 64MB yields decent performance while the block sizes of 128MB or 256MB could be optimal given higher storage I/O such as in RAID, and (c) the highest throughput occurs when the framework has two concurrent Map tasks and two concurrent Reduce tasks.
Performance Forecasting of Share Market using Machine Learning Techniques: A Review

Forecasting share performance becomes more challenging issue due to the enormous amount of valuable trading data stored in the stock database. Currently, existing forecasting methods are insufficient to analyze the share performance accurately. There are two main reasons for that: First, the study of existing forecasting methods is still insufficient to identify the most suitable methods for share price prediction. Second, the lack of investigations made on the factors affecting the share performance. In this regard, this study presents a systematic review of the last fifteen years on various machine learning techniques in order to analyze share performance accurately. The only objective of this study is to provide an overview of the machine learning techniques that have been used to forecast share performance. This paper also highlights a how the prediction algorithms can be used to identify the most important variables in a share market dataset. Finally, we could have succeeded to analyze share performance effectively. It could bring benefits and impacts to researchers, society, brokers and financial analysts. Full Text: PDF DOI: http://dx.doi. org/10.11591/ijece.v6i6. 13323
The Unexpected and Education: Curriculums for Creativity

We propose ourselves to argue about the importance of creating unexpected contexts as a strategy to promote creative processes in education. We have analyzed educational proposals by our team research and specialists’ theoretical issues in the field of education and creativity. Our intention is to present theoretical and practical considerations about the role of the unexpected in the promotion of creativity in educational contexts. Learning activities, teachers, contexts, materials and teacher intervention are some of the components of educational contexts that can be designed in an unexpected way to give place to situations for creativity.
Cyclicality of Lending Behavior by Banking Sector for the Period (2000-2013): Evidence from Jordan

All economic sectors and individuals in Jordan rely mainly on banks to cover their shortage in money, thus banking sector plays a vital role in enhancing investments and economic development by standing in the middle between deficit units and surplus units. The major goal of this study is to identify what are the main drivers that impact lending behavior in Jordan. Using panel data and applying multi regression analysis on (13) Jordanian Conventional banks and two Islamic banks for the period (2000-2013) that are covered in this research, we found that lending behavior is statistically significantly affected by internal factors (DV, IR and net profit after tax) and it is also affected significantly by external factor (RR, GDP, IFR, OWDR and Red. R). Also the analysis indicated that OWDR and Red. R as a proxy for monetary policy did have a negative impact on lending behavior but not significantly proven. The study also reached to a conclusion that the amount of loans and advances extended by Jordanian banks is not affected by rate of interest. We recommend that Jordanian banks’ management should take into consideration internal specific factors as well as external specific factor with more care while formulating their lending policy, moreover central bank in cooperation with the Jordanian banking sector should work in more productive relationship in order to enhance more the economic growth.
GENERATING TEXT DESCRIPTIONS FOR GEOGRAPHICALLY DISTRIBUTED SENSORS

Sensor networks, with thousands of geographically distributed sensors and different types of quantitative measures, need software tools to help users understand the meaning of measures. In this paper we pay attention to the problem of automatic generation of geographic descriptions in natural language for geographically distributed sensors. We describe this problem in the context of a web application in the domain of hydrology which is part of a more complex multimedia presentation system that combines text and graphics. We describe the web application and the algorithm that we designed to generate the geographic descriptions for sensors. Besides GIS data files, our method uses two information sources: an online server for geographic names (Geonames) and a specific knowledge base with text patterns that we constructed to process sensor identifiers. The evaluation results confirm that online geographic information resources such as Geonames are useful to generate names for sensors but they need to be combined with other more specific information sources (such as our knowledge base) to obtain good descriptions. We also compare our method with related work and show future lines of work.
Photosynthesis-induced phosphate precipitation in seawater: ecological implications for phytoplankton

The interaction between the marine phototrophic dinoflagellate Prorocentrum minimum and associated bacteria was studied in different physico-chemical environments in batch cultures. In stagnant cultures the dinoflagellates aggregated at the surface, while with low shear induced by gentle stirring and turbulent mixing induced by bubbling, the cells were dispersed. Both pH and O2 concentration eventually increased in the stagnant and stirred cultures as a result of photosynthesis. Bacterial community dynamics, productivity and composition was monitored by direct cell counts, plate counts, 3H-leucine incorporation, richness of genomes estimated by PCR-DGGE and frequency of growth rate types on agar plates. Bacterial productivity and diversity was restrained in both stagnant and stirred cultures, compared with bubbled ones. This pattern was observed early, before bulk water was affected by metabolic activity, which suggests that algal aggregation was not a prerequisite for inhibition of bacterial growth. Increased bacterial production during stationary growth phase of the algae in stagnant and stirred cultures suggests that high pH or O2 concentration were not the most important inhibiting factors. Rather, the need for turbulent mixing suggests that the structure of the extracellular organic material must be modified to make it available to bacteria. One growth rate type in the bacterial community was not inhibited in stagnant and stirred cultures and developed similarly in all cultures.