Miracle-dz/UniFAR-FTUs huggingface dataset:
The Nexus between Government Expenditure and Revenue in Tanzania

This study examines the long run relationship and the direction of causality between government revenue and government expenditure in Tanzania by using quarterly data spanning the period between 2000 and 2017. The study employed Augmented Dickey Fuller test, Johansen Cointegration, Unrestricted VAR model, Granger Causality test, Impulse Response Function and Variance Decomposition. In doing so, four hypotheses are subjected to empirical test, namely; tax-spend, spend-tax, fiscal synchronization, and fiscal neutrality. The results from both trace and maximum eigenvalue statistics clearly accept the null hypothesis that there is no cointegration between revenue and expenditure. Moreover, the Granger Causality test indicates that the direction of causality runs from government expenditure to government revenue, implying that government determines expenditure prior to its revenue. These results suggest that other three hypotheses are strongly rejected, corroborating spend-and tax hypothesis as postulated by Barro (1974), Peacock and Wiseman (1979) and Hondroyiannis and Papapetrou (1996).
OTT_A_228678 10057..10075

Manfei Si Junji Zhang Jianzhong Cao Zhibo Xie Shan Shu Yapei Zhu Jinghe Lang 1Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 2Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 3Department of Vascular Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China Purpose: Ovarian cancer is the leading cause of gynecologic cancer-related death worldwide. Early diagnosis of ovarian cancer can significantly improve patient prognosis. Hence, there is an urgent need to identify key diagnostic and prognostic biomarkers specific for ovarian cancer. Because high-grade serous ovarian cancer (HGSOC) is the most common type of ovarian cancer and accounts for the majority of deaths, we identified potential biomarkers for the early diagnosis and prognosis of HGSOC. Methods: Six datasets (GSE14001, GSE18520, GSE26712, GSE27651, GSE40595, and GSE54388) were downloaded from the Gene Expression Omnibus database for analysis. Differentially expressed genes (DEGs) between HGSOC and normal ovarian surface epithelium samples were screened via integrated analysis. Hub genes were identified by analyzing protein–protein interaction (PPI) network data. The online Kaplan-Meier plotter was utilized to evaluate the prognostic roles of these hub genes. The expression of these hub genes was confirmed with Oncomine datasets and validated by quantitative real-time PCR and Western blotting. Results: A total of 103 DEGs in patients with HGSOC—28 upregulated genes and 75 downregulated genes—were successfully screened. Enrichment analyses revealed that the upregulated genes were enriched in cell division and cell proliferation and that the downregulated genes mainly participated in the Wnt signaling pathway and various metabolic processes. Ten hub genes were associated with HGSOC pathogenesis. Seven overexpressed hub genes were partitioned into module 1 of the PPI network, which was enriched in the cell cycle and DNA replication pathways. Survival analysis revealed that MELK, CEP55 and KDR expression levels were significantly correlated with the overall survival of HGSOC patients (P < 0.05). The RNA and protein expression levels of these hub genes were validated experimentally. Conclusion: Based on an integrated analysis, we propose the further investigation of MELK, CEP55 and KDR as promising diagnostic and prognostic biomarkers of HGSOC.
Assertive Illocutionary Act Adapted in Donald Trump’s Political Speech: A Pragmatic Study

This research is intended to discuss the illocutionary acts used in a speech mainly assertive. The writer attempts to analyze the categories of assertive illocutionary act occurs in the utterances of Donald Trump’s political speech in last America’s general election . This is a case study that employed a qualitative method with a descriptive approach. The writer uses Ancont software to classify the data. The function of this software is to observe the frequent words occur in the data. Then, it shows that the total number of words that occurred in Donald Trump’s speech is 3046 words. Through those numbers, there are 901 types of words. However, the data used is only the open classes instead of the closed class words or grammatical category. After reducing the data, the five frequent words which are categorized as an open class appeared are ‘job’, ‘is’, ‘new’, ‘American’, and ‘are’. In this case, the data are analyzed based on the frequents words and the writer also reduces the data which are not categorized as assertive illocutionary acts. From the data analysis, it reveals that the categories of assertive illocutionary acts mostly appeared in Donald Trump’s political speech are a statement of fact and assertion. Then, the dominant category used in the speech is a statement of fact containing a convincing. It can be concluded that most of the utterances used by Donald Trump are, besides attempting to represent himself, to convince the citizens supported by some facts about the issue that he believes to be the case in order to establish a positive perspective toward his arguments.
Synchronous Measurements of Electron Bunches Under the Influence of the Microbunching Instability

The microbunching instability is a longitudinal collective instability which occurs for short electron bunches in a storage ring above a certain threshold current. The instability leads to a charge modulation in the longitudinal phase space. The resulting substructures on the longitudinal bunch profile vary over time and lead to fluctuations in the emitted power of coherent synchrotron radiation (CSR). To study the underlying longitudinal dynamics on a turn-byturn basis, the KIT storage ring KARA (Karlsruhe Research Accelerator) provides a wide variety of diagnostic systems. By synchronizing the single-shot electro-optical spectral decoding setup (longitudinal profile), the bunch-by-bunch THz detection systems (THz power) and the horizontal bunch size measurement setup (energy spread), three important properties of the bunch during this instability can be measured at every turn for long time scales. This allows a deep insight into the dynamics of the bunch under the influence of the microbunching instability. This contribution will discuss effects like the connection between the emitted CSR power and the deformations in the longitudinal bunch profile on the time scale of the instability.
International Journal of ChemTech Research

: The void volume is an important parameter in chromatography to determines the accuracy of chromatography. The void volume which is not in accordance cause a widening or changes the symmetry of the chromatogram. The void volume is very influential at the capacity factor. Wavelength range from UV to Visible should be optimized so as not to be used from the maximum wavelength respectively. This analysis leads to the determination of the void volume and the wavelengths for the development of methods of separation of a mixture of saccharin, cyclamate, benzoic, sorbic, tartrazine and sunset yellow. This study used high-performance liquid chromatography reversed phase the wavelength range of 200 nm - 470 nm, the instrument of UFLC 1290 DAD (Agilent), C18 column 100 mm x 4.6 mm x 3.5 μm (Agilent). The results showed that the optimum empty volume is 30% with a wavelength of 200, 220 and 450 nm in the mobile phase of phosphate buffer (pH 4.5) and methanol 75: 25 (v / v), flow rate of 1.0 ml/min, column temperature 30 o C. The parameter of optimization includes the capacity factor, plate number, resolution, selectivity and tailing factor meet the requirements of analysis.
The Market for Ideas and Economic Growth

This article studies the effects of intellectual property rights (IPR) and antitrust policies on aggregate innovation in an endogenous growth model. I show that public policies usually face a trade-off between innovation from incumbent firms and innovation from independent inventors. If inventors only innovate to enter product markets, the trade-off can lead to an inverted-U relationship between the economic growth rate and inventors’ ability to benefit from their innovations. However, a strong IPR policy that protects inventors from incumbent firms on the market for ideas always increases aggregate innovation. First, an IPR policy has a stronger effect on incentives of inventors to innovate than it does on incentives of incumbent firms to do so. Second, the IPR policy increases the economic growth rate by encouraging inventors to innovate in order to sell innovations on the market for ideas instead of innovating in order to enter product markets.
Can we predict currency momentum crashes

We report robust empirical evidence that currency momentum crash is predictable. We show that the payoff of a currency momentum strategy has a time-varying beta structure and is linked to the carry trade factor (HML) proposed by Lustig et al. (2011). The currency momentum beta to HML is conditioned on the previous and contemporaneous HML portfolio returns. This risk pattern introduces a written call-option-like payoff in currency momentum strategies. In particular, when carry trade is recovering from previous crashes, momentum strategies lose money. We propose two currency momentum strategies to mitigate momentum crash risk.
REFERENTIALISM AND MUSICAL CHARACTERISTICS IN CHILDREN’S KEYBOARD IMPROVISATION DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy

The purpose of the study was to examine the ability of young children to communicate referential ideas through keyboard improvisation. Seventy-eight children in grades K-4 participated in the study, including 19 American piano students, 19 Taiwanese piano students, and 40 Taiwanese children who did not study piano. Emotional (happy, sad) and referential (elephant, bird) cues were provided pictorially, and the children were asked to develop a keyboard improvisation that would portray the given stimuli to adult listeners. These four stimuli were presented as single topics and in pairs, e.g., happy bird, sad bird, happy elephant, sad elephant, for a total of eight improvisations which were subsequently saved as MIDI files and recorded onto cassette tape in random order. Then, eleven music teachers listened to the tapes and attempted to match improvisation to the emotional and referential cues that the child had tried to portray. Finally, improvisations of the most successful children were selected for further analysis of musical characteristics. No significant differences were found between American and Taiwanese subjects on the matchability of their improvisations, however, improvisations of the graders who studied piano were matched significantly more often than those of the graders who did not study piano. Subjects did better on single stimuli (happy, sad, elephant, bird) than on paired stimuli (happy bird, and so on), and 3"‘-4"' grade piano students portrayed the animal descriptors significantly more effectively than they did the emotional descriptors. Implications of the study for teachers are (1) to provide students with instrument playing skills and (2) to design improvisational tasks under single discrimination conditions employing concrete objects with which the children are familiar. Dedicated to my mother
Entrepreneurial self-efficacy and entrepreneurial behavior

The objective of this study is to determine the influence of entrepreneurial self-efficacy on entrepreneurial behavior, and to determine whether the demographic factors (gender, age and education) might cause any change in the influence. The population of the study is composed of all the entrepreneurs and the employees at entrepreneurial firms in Jordan; the sample of the study was composed of 155 respondents, the responses were obtained using convenience sampling technique. Multiple regressions and hierarchical regression were used to analyze the data. The findings indicate that entrepreneurial self-efficacy has an influence entrepreneurial behavior, and none of the demographic factors cause a significant statistical change in the influence of entrepreneurial self-efficacy on entrepreneurial behavior, The researchers recommends that more focus should be given to the area of entrepreneurial self-efficacy in order to clearly define it for entrepreneurs and policy makers and to explain how it interacts and affects entrepreneurial behavior.
Statistical and temporal properties of prosodic units in French conversational speech

Our study investigates statistical and temporal properties of prosodic units, which were previously identified within laboratory phonology paradigm, in a corpus of French conversational speech. Prosodic annotation of our corpus implements two-level hierarchical model distinguishing major prosodic units (Intonational Phrases, IPs) and minor prosodic units (Accentual Phrases, AP). Both temporal data and distribution of the number of APs in an IP evidence the global tendency to produce shorter units in conversation. Moreover, Intonational phrases containing no more than two Accentual phrases cover 80% of the data. We discuss the implication of these results for both phonological studies on the constraints on prosodic phrasing and oral document tagging.
CrowdBind: Fairness Enhanced Late Binding Task Scheduling in Mobile Crowdsensing

Mobile crowdsensing (MCS) is an efﬁcient method to collect sensing data from a large number of mobile devices. Traditionally, low task coverage and high energy consumption on mobile devices are two of the main challenges in MCS and they are extensively studied in the literature. In this work, we discuss a third factor, scheduling fairness, which is correlated with the other two factors and has a signiﬁcant impact on the success of MCS. We propose a new framework, called C ROWD B IND , that takes advantage of the late-binding characteristic of crowdsensing tasks in addition to incorporating a trajectory-based mobility prediction model to schedule tasks. We conducted a survey with 96 participants to learn about how users react to varying levels of fairness in MCS applications. We designed and implemented a full-stack MCS system including a scheduling server and an Android client. We evaluate our system by conducting an IRB approved user study of 50 people in our college town for one month as well as running a simulation using Gowalla dataset of 90K users. C ROWD B IND is proved to be effective in a large population and the results show that C ROWD - B IND achieves the highest scheduling fairness compared to prior works (Periodic sensing, PCS, Sense-Aid, and Crow-dRecruiter), improves the average per-device energy efﬁ-ciency from 18.3% to 91.4%, and improves the task coverage from 9.7% to 52.1%.
Effects of Polyglycosides of Tripterygium Wilfordii Hook on Inflammation and Immune Suppression

Purpose To study the anti inflammatory,anti allergy and immunosuppressive effect of polyglycosides of tripterygium wilfordii Hook (T Ⅱ). Methods Animal model of acute and subacute inflammation,adjuvant arthritis,type Ⅳ and Ⅲ allergic reaction were used.Serum haemolysin level,lymphocyte proliferation and T cell subsets in spleen were tested. Results T Ⅱ 60,120 mg/kg and pre(prednisone)10 mg/kg had marked inhibitory effect on carrageenine induced swelling,tampon induced granulation and on the prevention of adjuvant arthritis.The delayed type hypersensitivity reaction(type Ⅳ) and arthus reaction (type Ⅲ) was distinctly suppressed.It had a suppressive action on serum haemolysin and lymphocyte proliferation with and without concanavatin A which was dose dependent.In the T cell subsets:T Ⅱ 60 mg/kg decreased T S and T Ⅱ 120 mg/kg inhibited both T S and T H,preacted mainly on T H and rendered the decreased ratio of T H/T S. Conclusions T Ⅱ has suppressive effect on inflammation,allergic reaction and immune function.
Transition from paediatric to adult services in haemophilia

Abstract The need to prepare children and young people with haemophilia for long-term care in the adult sector has long been accepted and is reflected in many national health care policies. Ideally, transition should be an individualised age- and development-appropriate process, through which each young person is empowered to self-manage, with support from their families and multidisciplinary team (MDT). It is widely recognised that young people who are not engaged in self-management frequently become non-adherent to therapy. For those with haemophilia, this can have a life-long impact on joint health and quality of life. In practice, anecdotal reports from individuals suggest that the transition process is often poorly planned, leaving them feeling lost and unsupported by the healthcare professionals who, until this point, have been core members of their support network. Rarely are the views of young people or their families sought regarding the outcome of their transition process. For those with less severe disease or rarer bleeding disorders, and for girls at the menarche, transition is often not addressed at all. This literature review forms the first part of a project that seeks to identify the outcome measures that can be used to drive a nurse-led initiative improvement in transition for young people with bleeding disorders, through changes in both working practices among health professionals and in the underpinning system, which enables them to put such changes into practice.
The Management of Aid and Conflict in Africa

This study investigates the relationship between the management of development aid and violent conﬂict in Africa. I exploit variation in World Bank project management quality driven by the assignment of project leaders of varying capacity, combined with geo-coded data on lending and project performance scores. I ﬁnd that better project management reduces violent conﬂict across sub-national aid receiving regions. Poorly-managed projects increase conﬂict while well-managed projects do the opposite. Project monitoring is particularly important and management matters most in regions with a recent history of warfare. The results suggest that the quality of aid implementation affects patterns of conﬂict. Humanitarian aid will continue to be utilized as an instrument of war and will continue to fuel conﬂict. It is incumbent upon those providing aid to minimize this phenomenon.
Gut Passage, Respiratory Rate and Assimilation Efficiency of three Millipedes from a Deciduous Wood in the Alps

A b s t r a c t : Adult females of Ophyiulus pilosus, Ommatoiulus sabulosus and A Haiulusfuhiceps were collected from the upper litter layer of a mixed oak wood in Stams (Tyrol, Austria), kept in petri dishes on agar and supplied with one year old oak litter. Gut passage, respiratory rate and assimilation efficiency were investigated at I5°C. The gut passage time varíes between 2-5(withfood) and 11 12(withoutfood)hours depending on the food supply. Q. pilosus indicates the highest respiratory rate (61.2 μ^jgfw! ',15* C), Ó. saÒH/osw5thelowest(42.2). Differences in oxygen consumption and defaecation rates between the three species are significant. The mean assimilation rates (%) are quite similar (A fulviceps: 33.7, O. sabulosus: 36.6, O. pilosus: 3O).
Quantum Dynamics at Scale: Ultrafast Control of Emergent Functional Materials

Confluence of extreme-scale quantum dynamics simulations (i.e. quantum@scale) and cutting-edge x-ray free-electron laser experiments are revolutionizing materials science. An archetypal example is the exciting concept of using picosecond light pulses to control emergent material properties on demand in atomically-thin layered materials. This paper describes efforts to scale our quantum molecular dynamics engine toward the United States' first exaflop/s computer, under an Aurora Early Science Program project named "Metascalable layered material genome". Key algorithmic and computing techniques incorporated are: (1) globally-scalable and locally-fast solvers within a linear-scaling divide-conquer-recombine algorithmic framework; (2) algebraic 'BLASification' of computational kernels; and (3) data alignment and loop restructuring, along with register and cache blocking, for enhanced vectorization and efficient memory access. The resulting weak-scaling parallel efficiency was 0.93 on 131,072 Intel Xeon Phi cores for a 56.6 million atom (or 169 million valence-electron) system, whereas the various code transformations achieved 5-fold speedup. The optimized simulation engine allowed us for the first time to establish a significant effect of substrate on the dynamics of layered material upon electronic excitation.
Accuracy Improvement of Memory System Simulation for Modern Shared Memory Processor

For the purpose of developing applications for supercomputer Fugaku at an early stage, RIKEN has developed a processor simulator. This simulator is based on the general-purpose processor simulator gem5. It does not simulate the actual hardware of a Fugaku processor. However, we believe that sufficient simulation accuracy can be obtained since it simulates the instruction pipeline of out-of-order execution with cycle-level accuracy along with performing detailed parameter tuning of out-of-order resources. In order to estimate the accurate execution time of a program, it is necessary to simulate with accuracy not only the instruction execution time, but also the access time of the cache memory hierarchy. Therefore, in the RIKEN simulator, we expanded gem5 to match the performance of the cache memory hierarchy to that of a Fugaku processor. In this simulator, we aim to estimate the execution cycles of one node application on a Fugaku processor with accuracy that enables relative evaluation and application tuning. In this paper, we show the details of the implementation of this simulator and verify its accuracy compared with that of a Fugaku processor test chip. In the evaluation of the total 46 kernel benchmarks, it was confirmed that the difference is 13% or less for 85% of the kernels. In the multithreaded execution of Stream Triad benchmark, scalable performance according to the number of threads was confirmed, and achieved over 80% of memory throughput with enough accuracy.