Miracle-dz/UniFAR-FTUs huggingface dataset:
Relevance and Use of News Bulletin in Public Information Dissemination within Academic Communities: A Case Study of Three Universities in Ogun State, Nigeria

This study focuses on the relevance and use of news bulletin in public information dissemination within academic communities. Three Universities in Ogun State, Nigeria were selected for the study. A total of 500 copies of questionnaires were distributed but only 432 copies were returned for analysis. The study utilized factor analysis to extract major factors that promote the use of the medium in public information dissemination within the community. The findings revealed that almost all respondents see news bulletin as a good means of communication and collaboration and the major factors that promote its uses in the community are utility, worthiness, credibility and consistency. However, a good number of them believed that it does not give room for feedback. In conclusion, the study recommends that management should correct the paucities in the production and distribution systems of the medium in reporting current happenings in the community at regular intervals. Keywords: Information dissemination, News bulletin, Academic community, Communication, Tertiary institutions.
Robust Airline Crew Scheduling

The airline crew scheduling problem is to find a set of crew itineraries or pairings that minimize the crew cost. The problem is modeled as the set partitioning problem max{cx:Ax=1, x binary}, where cj is the cost of pairing j and aij is 1 if pairing j covers flight i. The problem is computationally hard due to the large number of variables, complex pairing feasibility rules and nonlinear costs. All existing approaches to airline crew scheduling use the planned cost of a pairing, which is a nonlinear function of the sequence of legs flown by the pairing. These models assume that any crew schedule may be flown as planned, and that the operational cost of a crew schedule is its planned cost. In fact, delays and disruptions are pervasive, and airlines are rarely able to operate all the flight legs. The operational cost of a crew schedule depends on these stochastic events since a flight delay results in an increased pairing cost and potentially into calling on duty a reserve crew. For large fleets the operational cost may be eight to ten times larger than the planning cost. Current solutions produce low planning cost by using many short connections that are vulnerable to disruptions. This fact clearly calls for solutions in the planning stage that are more robust, i.e. solutions that can produce lower cost in operations. The robust airline crew scheduling problem is to find crew schedules that are not necessarily optimal in planning, but perform well in operations.
Lattice thermal conductivity: A comparison of molecular dynamics and anharmonic lattice dynamics.

The thermal conductivity of a monatomic face-centered-cubic lattice has been calculated over a range of temperatures from one-twentieth to one-half the melting temperature. An inverse-twelfth-power ''soft-sphere'' potential was used to represent the interatomic forces. We have examined, quantitatively, the approximations involved in deriving the Peierls phonon-transport expression for the thermal conductivity and have determined the temperature range over which it is useful. This has involved extensive comparisons with the formally exact Green-Kubo method, using molecular dynamics to generate the phase-space trajectories. At low temperatures, the relaxation processes in a crystal can be described in terms of phonon lifetimes. We have calculated the lifetimes of all the phonon states of 108-, 256-, and 864-particle classical crystals, with periodic boundaries, by molecular dynamics and by anharmonic perturbation theory. These lifetimes were then used to estimate the thermal conductivity.
The Management of Innovation Projects' Implementation in Production-and-Economic Systems: The Use of Prognostic Models for the Risk Metrics of Obtained Decisions

The article describes a criteria-based approach to calculate the total risk obtained by the use of forecasts in prognostic models in order to solve tasks in production-andeconomic systems; this chapter also outlines the difficulty of recording risks received by the use of prognostic functions and values in mathematical operations and by applying the set of prognostic functions and values with various risk values. Keywords-component; manufacturing planning, risk evaluation, simulation modeling, project management, production-andeconomic system
Tansley review Plant responses to low [ CO 2 ] of the past

During the Last Glacial Maximum (LGM; 18 000–20 000 yr ago) and previous glacial periods, atmospheric [CO2] dropped to 180–190 ppm, which is among the lowest concentrations that occurred during the evolution of land plants. Modern atmospheric CO2 concentrations ([CO2]) are more than twice those of the LGM and 45% higher than pre-industrial concentrations. Since CO2 is the carbon source for photosynthesis, lower carbon availability during glacial periods likely had a major impact on plant productivity and evolution. From the studies highlighted here, it is clear that the influence of low [CO2] transcends several scales, ranging from physiological effects on individual plants to changes in ecosystem functioning, and may have even influenced the development of early human cultures (via the timing of agriculture). Through low-[CO2] studies, we have determined a baseline for plant response to minimal [CO2] that occurred during the evolution of land plants. Moreover, an increased understanding of plant responses to low [CO2] contributes to our knowledge of how natural global change factors in the past may continue to influence plant responses to future anthropogenic changes. Future work, however, should focus more on the evolutionary responses of plants to changing [CO2] in order to account for the potentially large effects of genetic change.
Fibered interference Scanning Optical Microscopy for living cell imaging

We present imaging of biological cells by a fibered high-resolution optical microscope, which we call interferometric Scanning Optical Microscope (iSOM) [1]. The topography and surface structure of mouse fibroblasts and living hippocampal neurons are clearly revealed by iSOM. Its working principle is based on the interference of the internally reflected light at an optical fiber tip with the light reflected by the surface facing the tip. iSOM is working in the optical far field, i.e. at tip-sample distances of the order of a few microns, thus avoiding any mechanical contact with the sample. This feature is of particular importance for the observation of living cells. Samples with topography in the micron range can thus be imaged at high resolution (typically half the wavelength laterally to the fiber tip and better than 10 nm axially for highly reflective samples) without any closed-loop tracking of the fiber tip height as done in AFM or NSOM. This feature allows to use less complex electronic control units and much faster recording speeds. In addition, iSOM can be developed at reduced costs and is well suited for integration with other measurement techniques, as only an optical fiber has to be positioned near the sample surface. Therefore, lengthy optical alignments can be avoided.
Mobile News Consumption

This study investigates news consumption on mobile devices with the goal of identifying where mobile devices fit into people’s media repertoires and how consumption patterns on them are different from those on other platforms. Results suggest that mobile devices are almost always used along with other platforms for getting news, that news sessions on smartphones are shorter than on other platforms, and mobile news consumption happens more times per day and is spread throughout the day. Implications for the study of news consumption, news producers, and consumers are discussed.
Which good to sell first in a sequential auction

In a sequential auction, we analyze whether selling a stochastically more valuable good in the first or second auction generates more revenue and welfare. One of the buyers is a global bidder who enjoys synergy if she wins both goods. The others are local bidders interested in one specific good. After deriving the equilibrium, we show that there are cases in which selling the less valuable good in the first auction generates higher revenue and/or welfare. We also show the impact of inefficient allocations on revenue.
Moderating Effect of Government Policies on the Relationship between Mobile Technology Services and Performance of Deposit-Taking Saccos in Kenya.

To the management of University of Embu and Kenyatta University, we are very thankful that you allowed time to pursue data collection and for facilitating data collection financially. To the Chief Executive Officers of all the Deposit-Taking Savings and Credit Cooperative Societies (SACCOs) in Kenya from where data was collected, we will remain highly indebted to you all. Finally, we appreciate our research assistants who did a lot of work by making numerous trips to Deposit-Taking SACCOs located in various parts of Kenya with the aim of collecting data used in the study
Deep Feature Learning for Graphs

This paper presents a general graph representation learning framework called DeepGL for learning deep node and edge representations from large (attributed) graphs. In particular, DeepGL begins by deriving a set of base features (e.g., graphlet features) and automatically learns a multi-layered hierarchical graph representation where each successive layer leverages the output from the previous layer to learn features of a higher-order. Contrary to previous work, DeepGL learns relational functions (each representing a feature) that generalize across-networks and therefore useful for graph-based transfer learning tasks. Moreover, DeepGL naturally supports attributed graphs, learns interpretable features, and is space-efficient (by learning sparse feature vectors). In addition, DeepGL is expressive, flexible with many interchangeable components, efficient with a time complexity of $\mathcal{O}(|E|)$, and scalable for large networks via an efficient parallel implementation. Compared with the state-of-the-art method, DeepGL is (1) effective for across-network transfer learning tasks and attributed graph representation learning, (2) space-efficient requiring up to 6x less memory, (3) fast with up to 182x speedup in runtime performance, and (4) accurate with an average improvement of 20% or more on many learning tasks.
The Impact of Social Innovation: Benefits and Opportunities from Brazilian Social Business

This paper aims to analyze which benefits and opportunities may be generated by a social business that approximates different social realities. Participatory action research was conducted in a social-purpose organization that focuses on children education on high vulnerability areas in the south of Brazil. The main benefits and opportunities are innovative practices in the territory of Brazilian favela; contributions to the increase in the life quality of children and adults involved in the projects; and adults’ access to new forms of work, mainly income access and women’s empowerment in the community.
A new approach for calculating metabolizable protein requirements by lactating dairy cows.

This article describes a new system for calculating metabolizable protein (MP) requirements by lactating dairy cows. The system was developed with 133 treatment means from 36 scientific publications. The nonlinear relationship between total protein output (scurf + endogenous urinary + metabolic fecal + milk) and MP supply was used to construct a response model determining changes in protein output with varying supplies. The efficiency of MP utilization predicted by the model decreased nonlinearly with supply, ranging from 0.85 to 0.43 as protein supply increased from 0.78 to 3.28 kg/day (1.72 to 7.22 lb/day). The combined MP requirement (i.e., lactation plus maintenance) was defined as the MP supply needed to predict a given total protein output in the estimated response curve. A requirement function was constructed by solving the estimated nonlinear response curve in terms of the MP supply. This function directly computes the supply needed for a given total protein output while accounting for a variable efficiency at different protein supply levels. For protein outputs below 1.1 kg/day (2.42 lb/day), the calculated requirements were lower than the ones from the current Northern American feeding system for dairy cows. Conversely, for total protein outputs beyond 1.1 kg/day (2.42 lb/day), the calculated requirements were higher than predicted by current feeding systems. Finally, one example is presented with 1Contact at: 2029 Fyffe Ct. , 221A Animal Science Building, Columbus, OH 43210-1095, (614) 292-6507, FAX: (614) 292-1515, Email: ferrazdiasdemoraes.1@osu.edu. the detailed use of the new system for calculating the combined MP requirements.
Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma.

Alexandra Snyder, M.D., Vladimir Makarov, M.D., Taha Merghoub, Ph.D., Jianda Yuan, M.D., Ph.D., Jesse M. Zaretsky, B.S., Alexis Desrichard, Ph.D., Logan A. Walsh, Ph.D., Michael A. Postow, M.D., Phillip Wong, Ph.D., Teresa S. Ho, B.S., Travis J. Hollmann, M.D., Ph.D., Cameron Bruggeman, M.A., Kasthuri Kannan, Ph.D., Yanyun Li, M.D., Ph.D., Ceyhan Elipenahli, B.S., Cailian Liu, M.D., Christopher T. Harbison, Ph.D., Lisu Wang, M.D., Antoni Ribas, M.D., Ph.D., Jedd D. Wolchok, M.D., Ph.D., and Timothy A. Chan, M.D., Ph.D.
It's Time We Teach Social-Emotional Competence as Well as We Teach Academic Competence

ABSTRACT This article discusses the non-academic, social-emotional factors that contribute to student academic achievement, including the cognitive-behavioral characteristics of underachieving students and those with learning disabilities; the “You Can Do It! Education” (YCDI) theory of achievement; derivative research on social-emotional capabilities, called the Five Foundations (Academic Confidence, Work Persistence, Work Organization, Getting Along, Emotional Resilience) that, when delayed, produce achievement problems; and recommendations for developing students' social-emotional competence. The research reviewed demonstrates that the Five Foundations and associated Habits of the Mind can be taught to young people, producing increased effort with schoolwork and better achievement.
Relationships between optic nerve damage and the severity of cognitive impairment in patients with mild cognitive impairment and Alzheimer's disease

This study was to analyse the degeneration of the Retinal Nerve Fiber Layer (RNFL) and optic disc and the relationship between optic nerve damage and the severity of cognitive impairment in patients with Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). The RNFL thickness and optic disc variables were assessed by optical coherence tomography in patients with MCI and AD and control subjects. Moreover, the correlation coefficients among RNFL thickness, optic disc parameters, and Mini- Mental State Examination (MMSE) scores were investigated in AD and MCI patients. RNFL thickness was significantly thicker in control group than that in the other two groups (P<0.05). The significant difference was detected between groups AD and MCI (P<0.05). Cup-to-disc ratio and pallor area-to-disc area ratio were increased but disc rim area was reduced in groups MCI and AD compared with in normal group (P<0.05). The significant difference was existed between groups AD and MCI (P<0.05). Pearson’s correlation test showed that compared with MMSE scores there was negative correlations in cup-to-disc ratio (P<0.05) and pallor-to-disc area ratio (P<0.01), but positive correlations in total RNFL thickness (P<0.01) and disc rim area (P<0.01). These results indicated that there was the degeneration of RNFL in MCI and AD patients. Moreover, the correlations among RNFL thickness, optic disc parameters and MMSE scores revealed that the severity of the optic nerve damage was increased along with the aggravation of the disease.
Domestic and International College Students: Health Insurance Information Seeking and Use

This study aimed to explore perceived barriers to using health insurance and identify discriminant factors between health insurance information seekers and non-seekers. A total of 615 domestic and international college students from a large university in the Southwest completed a cross-sectional survey. Findings imply that campus health providers and staff in international student services should be working closely to communicate to students about health insurance because they are both trying to solve the same basic problems.
Isolation of the YAP1 homologue of Candida utilis and its use as an efficient selection marker

The industrially important yeast Candida utilis is widely used in the production of food and medical materials, but its practical host–vector system has not been well developed. In order to construct a food‐grade host–vector system, we isolated the YAP1 homologue, CuYAP1, of C. utilis IAM4264 and evaluated its use as a selection marker in transformation. A DNA probe was obtained by PCR using degenerate primers and the CuYAP1‐encoding 438 amino acid protein was isolated by hybridization. Although the amino acid identity of Yap1 and CuYap1 was 28.7% as a whole, the characteristic bZip region and two cysteine‐rich domains (CRDs) showed a higher homology. CuYAP1 was inserted in a CuGAP1 expression cassette of the C. utilis ARS vector pRI177, and C. utilis AHU3053 was transformed with this plasmid. A number of transformant colonies grew in the presence of cycloheximide, which indicated that CuGAP1–CuYAP1 is an effective selection marker. The transformant also showed higher resistance to other agents, including cadmium and fluconazole. The overexpression of CuYAP1 in S. cerevisiae also resulted in increased resistance to various types of drugs. The DDBJ/EMBL/GenBank Accession No. for CuYAP1 is AB206826. Copyright © 2005 John Wiley & Sons, Ltd.
PENGARUH KEPEMIMPINAN KEPALA SEKOLAH DAN SARANA PRASARANA TERHADAP KINERJA GURU SMP NEGERI KOTA SEMARANG

The less maximum performance of teachers of State Junior High Schools in Semarang Municipality is not only because of their ranks, but is also effected by little understanding of the principals on the conditions of teachers nd administrative staffs. Clean, beautiful, and comfortable classrooms and other educational facilities also influence the teachers' performance. This study deals with the effect of the principal's leadership and facilities on the teachers' performance of State Junior High Schools Semarang Municipality. The problems are formulated as follows: (1) to what extent is the effect of the principal's leadership on the teachers' performance of State Junior High Schools of Semarang Municipality, (2) to what extent is the effect of facilities on the teachers' performance of State Junior High Schools of Semarang Municipality, (3) to what extent is the effect of both the principal's leadership and facilities on the teachers' performance of State Junior High Schools of Semarang Municipality. Two models of regression analysis, simple regression and multiple regression are used in this study. The simple regression analysis is used to analyze the effect of the principal's leadership as the independent variable on the teachers' performance as the dependent variable, and the effect of the facilities as the independent variable on the teachers' performance as the dependent variable. The Multiple regression analysis is used to analyze the effect of both the principal's leadership and facilities on the teachers' performance. The sample consists of 35 schools selected by the use of a proportional stratified random sampling technique and the data are collected by the use of questionnaires. The results of the descriptive analysis show that the principal's leadership of State Junior High Schools of Semarang Municipality is categorized as good. The facilities and the teachers' performance of State Junior High Schools of Semarang Municipality are also classified as good. The findings of the study show that the principal's leadership and the facilities partially significantly the teachers' performance of State Junior High Schools of Semarang Municipality, indicated by the result of the ttest. In addition, the principal's leadership and facilities simultaneously affect significantly the teachers' performance, indicated by the result of the Ftest.
Cerebellar granule‐cell‐specific GABAA receptors attenuate benzodiazepine‐induced ataxia: evidence from α6‐subunit‐deficient mice

Benzodiazepine‐ and alcohol‐induced ataxias in rodents have been proposed to be affected by the γ‐aminobutyric acid type A (GABAA) receptor α6 subunit, which contributes to receptors specifically expressed in cerebellar granule cells. We have studied an α6 –/– mouse line for motor performance and drug sensitivity. These mice, as a result of a specific genetic lesion, carry a precise impairment at their Golgi‐granule cell synapses. On motor performance tests (rotarod, horizontal wire, pole descending, staircase and swimming tests) there were no robust baseline differences in motor function or motor learning between α6 –/– and α6 +/+ mice. On the rotarod test, however, the mutant mice were significantly more impaired by diazepam (5–20 mg/kg, i.p.), when compared with α6 +/+ control and background C57BL/6J and 129/SvJ mouse lines. Ethanol (2.0–2.5 g/kg, i.p.) produced similar impairment in the α6 –/– and α6 +/+ mice. Diazepam‐induced ataxia in α6 –/– mice could be reversed by the benzodiazepine site antagonist flumazenil, indicating the involvement of the remaining α1β2/3γ2 GABAA receptors of the granule cells. The level of activity in this synapse is crucial in regulating the execution of motor tasks. We conclude that GABAA receptor α6 subunit‐dependent actions in the cerebellar cortex can be compensated by other receptor subtypes; but if not for the α6 subunit, patients on benzodiazepine medication would suffer considerably from ataxic side‐effects.
Yield and Income Effects of Ecologically-based Rodent Management in Mekong River Delta, Vietnam

Regression-based strategies along with propensity score matching (PSM) were used to assess the farm-level economic impact of community action (CA) strategies associated with ecologically based rodent management (EBRM). The paddy yield and real net income of rice farmer beneficiaries of the EBRM approach in An Giang Province, Mekong River Delta, Vietnam, were analyzed using panel data from 151 rice farmers. PSM along with the difference-indifference framework using the fixed-effect approach were found to be the most appropriate methods to evaluate the farm-level economic impact of the adoption of the CA strategies. The EBRM through CA did not replace what the farmers were doing, but rather built on their practices and incorporated a scientific basis by encouraging farmers to work together at key times of a cropping season. In terms of labor use for rodent control, CA only entailed an additional 0.3 man-days/ha for every CA. Normally, for a 40-hectare (ha) rice field, around 30 persons participated in each CA including men, women, and children. With two to three times done in a season, a total of 1 man-day/ha is as an additional labor for the whole season. The adoption of the EBRM through CA had a significant and positive impact on paddy yield and real net income of rice farmers. The mean paddy yield increased by 0.43-0.45 ton per ha and real net income of the beneficiaries increased by VND1.16–1.19 million/ha (approximately USD65-67/ha). These findings imply that the adoption of the CA strategies in rodent pest management as part of EBRM may not only have partly contributed to food security and increased household income of the rice farmer-beneficiaries but also to environmental improvement in these communities.