bluuebunny/crossref_metadata_2025_split huggingface dataset:
AnalyticDB
Authors: Zhan Chaoqun , Su Maomeng , Wei Chuangxian , Peng Xiaoqiang , Lin Liang , Wang Sheng , Chen Zhe , Li Feifei , Pan Yue , Zheng Fang , Chai Chengliang 
Published: September 2019

With data explosion in scale and variety, OLAP databases play an increasingly important role in serving real-time analysis with low latency (e.g., hundreds of milliseconds), especially when incoming queries are complex and ad hoc in nature. Moreover, these systems are expected to provide high query concurrency and write throughput, and support queries over structured and complex data types (e.g., JSON, vector and texts).
In this paper, we introduce AnalyticDB, a real-time OLAP database system developed at Alibaba. AnalyticDB maintains all-column indexes in an asynchronous manner with acceptable overhead, which provides low latency for complex ad-hoc queries. Its storage engine extends hybrid row-column layout for fast retrieval of both structured data and data of complex types. To handle large-scale data with high query concurrency and write throughput, AnalyticDB decouples read and write access paths. To further reduce query latency, novel storage-aware SQL optimizer and execution engine are developed to fully utilize the advantages of the underlying storage and indexes. AnalyticDB has been successfully deployed on Alibaba Cloud to serve numerous customers (both large and small). It is capable of holding 100 trillion rows of records, i.e., 10PB+ in size. At the same time, it is able to serve 10m+ writes and 100k+ queries per second, while completing complex queries within hundreds of milliseconds.
QTune
Authors: Li Guoliang , Zhou Xuanhe , Li Shifu , Gao Bo 
Published: September 2019

Database knob tuning is important to achieve high performance (e.g., high throughput and low latency). However, knob tuning is an NP-hard problem and existing methods have several limitations. First, DBAs cannot tune a lot of database instances on different environments (e.g., different database vendors). Second, traditional machine-learning methods either cannot find good configurations or rely on a lot of high-quality training examples which are rather hard to obtain. Third, they only support coarse-grained tuning (e.g., workload-level tuning) but cannot provide fine-grained tuning (e.g., query-level tuning).
To address these problems, we propose a query-aware database tuning system QTune with a deep reinforcement learning (DRL) model, which can efficiently and effectively tune the database configurations. QTune first featurizes the SQL queries by considering rich features of the SQL queries. Then QTune feeds the query features into the DRL model to choose suitable configurations. We propose a Double-State Deep Deterministic Policy Gradient (DS-DDPG) model to enable query-aware database configuration tuning, which utilizes the actor-critic networks to tune the database configurations based on both the query vector and database states. QTune provides three database tuning granularities: query-level, workload-level, and cluster-level tuning. We deployed our techniques onto three real database systems, and experimental results show that QTune achieves high performance and outperforms the state-of-the-art tuning methods.
Cloud-native database systems at Alibaba
Authors: Li Feifei 
Published: September 2019

Cloud-native databases become increasingly important for the era of cloud computing, due to the needs for elasticity and on-demand usage by various applications. These challenges from cloud applications present new opportunities for cloud-native databases that cannot be fully addressed by traditional on-premise enterprise database systems. A cloud-native database leverages software-hardware co-design to explore accelerations offered by new hardware such as RDMA, NVM, kernel bypassing protocols such as DPDK. Meanwhile, new design architectures, such as shared storage, enable a cloud-native database to decouple computation from storage and provide excellent elasticity. For highly concurrent workloads that require horizontal scalability, a cloud-native database can leverage a shared-nothing layer to provide distributed query and transaction processing. Applications also require cloud-native databases to offer high availability through distributed consensus protocols.
At Alibaba, we have explored a suite of technologies to design cloud-native database systems. Our storage engine, X-Engine and PolarFS, improves both write and read throughputs by using a LSM-tree design and self-adapted separation of hot and cold data records. Based on these efforts, we have designed and implemented POLARDB and its distributed version POLARDB-X, which has successfully supported the extreme transaction workloads during the 2018 Global Shopping Festival on November 11, 2018, and achieved commercial success on Alibaba Cloud. We have also designed an OLAP system called AnalyticDB (ADB in short) for enabling real-time interactive data analytics for big data. We have explored a self-driving database platform to achieve autoscaling and intelligent database management. We will report key technologies and lessons learned to highlight the technical challenges and opportunities for cloud-native database systems at Alibaba.
Opportunities for data management research in the era of horizontal AI/ML
Authors: Rekatsinas Theodoras , Roy Sudeepa , Vartak Manasi , Zhang Ce , Polyzotis Neoklis 
Published: September 2019

AI/ML is becoming a horizontal technology: its application is expanding to more domains, and its integration touches more parts of the technology stack. Given the strong dependence of ML on data, this expansion creates a new space for applying data management techniques. At the same time, the deeper integration of ML in the technology stack provides more touch points where ML can be used in data management systems and vice versa.
In this panel, we invite researchers working in this domain to discuss this emerging world and its implications on data-management research. Among other topics, the discussion will touch on the opportunities for interesting research, how we can interact with other communities, what is the core expertise we bring to the table, and how we can conduct and evaluate this research effectively within our own community. The goal of the panel is to nudge the community to appreciate the opportunities in this new world of horizontal AI/ML and to spur a discussion on how we can shape an effective research agenda.
University Program Characteristics and Education-Job Mismatch
Authors: Kucel Aleksander , Vilalta-Bufí Montserrat 
Published: September 2019

Abstract
Over-education has been demonstrated to be frequent and persistent across countries. It often goes together with working in a job not related to the field of study (horizontal mismatch) or in a job that requires lower skills than acquired (skill mismatch). We study which program characteristics help university graduates to obtain a good job match. We do the analysis for Spain since the presence of over-education is strong in this country. We analyze the three types of mismatch: over-education, horizontal mismatch, and over-skills. We focus on the role of program characteristics in avoiding over-education in the first job after graduation, and in exiting over-education in the early career. We find that those programs that are academically prestigious and those that promote entrepreneurial skills help avoid being mismatched in the first job and, in case of being mismatched in the first job, they help exit this situation. Overall, our results give support to policies promoting the development of entrepreneurial skills in the Spanish education system.
On the description of multidimensional normal Hausdorff operators on Lebesgue spaces
Authors: Mirotin Adolf R. 
Published: September 2019

Abstract
Hausdorff operators originated from some classical summation methods.
Now this is an active research field.
In the present article, a spectral representation for multidimensional normal Hausdorff operator is given.
We show that normal Hausdorff operator in

L
2

⁢

(

ℝ
n

)

{L^{2}(\mathbb{R}^{n})}

is unitary equivalent to the operator of multiplication by some matrix-valued function (its matrix symbol) in the space

L
2

⁢

(

ℝ
n

;

ℂ

2
n

)

{L^{2}(\mathbb{R}^{n};\mathbb{C}^{2^{n}})}

.
Several corollaries that show that properties of a Hausdorff operator are closely related to the properties of its symbol are considered.
In particular, the norm and the spectrum of such operators are described in terms of the symbol.
Phytotherapy in endometriosis: an up-to-date review
Authors: Della Corte Luigi , Noventa Marco , Ciebiera Michal , Magliarditi Maria , Sleiman Zaki , Karaman Erbil , Catena Ursula , Salvaggio Calogero , Falzone Giovanni , Garzon Simone 
Published: September 2019

Abstract
Endometriosis is a benign gynecological disease which symptoms can provide a severe impact on patient’s quality of life with subsequent impact on psychological well-being. Different therapeutic strategies are available to treat this disease, such as surgery, hormonal therapies, and nonsteroidal anti-inflammatory drugs. Nevertheless, the efficacy of conventional medical treatments is limited or intermittent in most of the patients due to the associated side effects. Therefore, a woman with endometriosis often search for additional and alternative options, and phytotherapy might be a promising alternative and complementary strategy. Different medicinal plants, multicomponent herbal preparations, and phytochemicals were investigated for pharmacological proprieties in endometriosis therapy. In most of the cases, the effect on endometriosis was related to phenolic compounds, such as flavonoids and phenolic acids reporting anti-inflammatory, proapoptotic, antioxidant, and immunomodulatory functions. Moreover, some phytochemicals have been related to a strong phytoestrogenic effect modulating the estrogen activity. Although promising, available evidence is based on in vitro and animal models of endometriosis with a limited number of well-performed clinical studies. There are almost none randomized control trials in this area. Therefore, properly constructed clinical trials are mandatory to achieve more conclusive results about the promising role of phytotherapy in the management of endometriosis.
Stochastic Novikov Engine with Fourier Heat Transport
Authors: Schwalbe Karsten , Hoffmann Karl Heinz 
Published: September 2019

Abstract
The Stochastic Novikov engine is an endoreversible model for heat engines where the heat supply takes place at a fluctuating temperature. These fluctuations can be observed for example at solar thermal power plants. While recently the influence of the temperature fluctuations on the engine’s performance has been studied for Newtonian heat transport, the relation between the used heat transport type and the performance measures remained open. Therefore, we here consider a Stochastic Novikov engine with Fourier heat transport. Based on a short summary of the concept of a Stochastic Novikov engine and the corresponding different control types, the maximum work output and the corresponding efficiency are derived. In particular, we discuss the influence of the distribution’s parameters on the engine’s performance assuming a uniform temperature distribution. We find that the heat transport type has a significant effect on some of the engine’s fundamental properties.
Temporal aggregation of random walk processes and implications for economic analysis
Authors: Ahmad Yamin S , Paya Ivan 
Published: September 2019

Abstract
This paper examines the impact of time averaging and interval sampling data assuming that the data generating process for a given series follows a random walk with iid errors. We provide exact expressions for the corresponding variances, and covariances, for both levels and higher order differences of the aggregated series, as well as that for the variance ratio, demonstrating exactly how the degree of temporal aggregation impacts these properties. We empirically investigate this issue on exchange rates and find that the values of the variance ratios and autocorrelation coefficients at different frequencies are consistent with our theoretical results. We also conduct a simulation exercise that illustrates the potential effect that conditional heteroskedasticity and fat tails may have on the temporal aggregation of a random walk and of a highly persistent autoregressive process.
Coordination of Human Hippocampal Sharpwave Ripples during NREM Sleep with Cortical Theta Bursts, Spindles, Downstates, and Upstates
Authors: Jiang Xi , Gonzalez-Martinez Jorge , Halgren Eric 
Published: September 2019

In rodents, waking firing patterns replay in NREM sleep during hippocampal sharpwave ripples (HC-SWRs), correlated with neocortical graphoelements (NC-GEs). NC-GEs include theta bursts, spindles, downstates, and upstates. In humans, consolidation during sleep is correlated with scalp-recorded spindles and downstates/upstates, but HC-SWRs cannot be recorded noninvasively. Here we show in humans of both sexes that HC-SWRs are highly correlated with NC-GEs during NREM, with significantly more related HC-SWRs/NC-GEs for downstates or upstates than theta bursts or spindles, in N2 than N3, in posterior than anterior HC, in frontal than occipital cortex, and ipsilaterally than contralaterally. The preferences interacted (e.g., frontal spindles co-occurred frequently with posterior HC-SWRs in N2). These preferred GEs, stages, and locations for HC-SWR/NC-GE interactions may index selective consolidation activity, although that was not tested in this study. SWR recorded in different HC regions seldom co-occurred, and were related to GE in different cortical areas, showing that HC-NC interact in multiple transient, widespread but discrete, networks. NC-GEs tend to occur with consistent temporal relationships to HC-SWRs, and to each other. Cortical theta bursts usually precede HC-SWRs, where they may help define cortical input triggering HC-SWR firing. HC-SWRs often follow cortical downstate onsets, surrounded by locally decreased broadband power, suggesting a mechanism synchronizing cortical, thalamic, and hippocampal activities. Widespread cortical upstates and spindles follow HC-SWRs, consistent with the hypothesized contribution by hippocampal firing during HC-SWRs to cortical firing-patterns during upstates and spindles. Overall, our results describe how hippocampal and cortical oscillations are coordinated in humans during events that are critical for memory consolidation in rodents.SIGNIFICANCE STATEMENTHippocampal sharpwave ripples, essential for memory consolidation, mark when hippocampal neurons replay waking firing patterns. In rodents, cortical sleep waves coordinate the transfer of temporary hippocampal to permanent cortical memories, but their relationship with human hippocampal sharpwave ripples remains unclear. We show that human hippocampal sharpwave ripples co-occur with all varieties of cortical sleep waves, in all cortical regions, and in all stages of NREM sleep, but with overall preferences for each of these. We found that sharpwave ripples in different parts of the hippocampus usually occurred independently of each other, and preferentially interacted with different cortical areas. We found that sharpwave ripples typically occur after certain types of cortical waves, and before others, suggesting how the cortico-hippocampo-cortical interaction may be organized in time and space.
A semi-analytical solution of micro polar flow in a porous channel with mass injection by using differential transform method
Authors: Rashidi M. M. M. , Pour S. A. Mohimanian Mohimanian , Laraqi N. 
Published: September 2019

In this letter, the differential transform method (DTM) was applied to the micro-polar flow in a porous channel with mass injection. Approximate solutions of the governing system of nonlinear ordinary differential equations were calculated in the form of DTM series with easily computable terms. The validity of the series solutions were verified by comparison with numerical results obtained using a fourth order Runge–Kutta method. The computed DTM velocity profiles are shown and the influence of Reynolds number on the velocity component in x-direction is discussed.
Dynamical complexities in a tri-trophic hybrid food chain model with Holling type II and Crowley–Martin functional responses
Authors: Upadhyay R. K. K. , Raw S. N. N. , Rai V. 
Published: September 2019

We study how predator behavior influences community dynamics of predatorprey systems. It turns out that predator behavior plays a dominant role in community dynamics. The hybrid model studied in this paper reveals that period-doubling and period-doubling reversals can generate short-term recurrent chaos (STRC), which mimics chaotic dynamics observed in natural populations. STRC manifests itself when deterministic changes in a system parameter interrupt chaotic behavior at unpredictable intervals. Numerical results reinforce an earlier suggestion that period-doubling reversals could control chaotic dynamics in ecological models. In ecological terms, the prey and intermediate predator populations may go to extinction in the event of a catastrophe. The top predator is always a survivor. In contrast to this, this is not the case when the constituent populations are interacting through Holling type II functional response. Even this top predator can go to extinction in the event of such catastrophes.
Symmetry analysis for steady boundary-layer stagnation-point flow of Rivlin–Ericksen fluid of second grade subject to suction
Authors: Abd-el-Malek M. B. B. , Hassan H. S. S. 
Published: September 2019

An analysis for the steady two-dimensional boundary-layer stagnation-point flow of Rivlin–Ericksen fluid of second grade with a uniform suction is carried out via symmetry analysis. By employing Lie-group method to the given system of nonlinear partial differential equations, the symmetries of the equations are determined. Using these symmetries, the solution of the given equations is found. The effect of the viscoelastic parameter k and the suction parameter R on the tangential and normal velocities, temperature profiles, heat transfer coefficient and the wall shear stress, have been studied. Also, the effect of the Prandtl number Pr on the temperature and the heat transfer coefficient has been studied.
Analytic approximate solutions for unsteady boundary-layer flow and heat transfer due to a stretching sheet by homotopy analysis method
Authors: Rashidi M. M. M. , Mohimanian Pour S. A. A. 
Published: September 2019

In this work, the homotopy analysis method is applied to study the unsteady boundary-layer flow and heat transfer due to a stretching sheet. The analytic solutions of the system of nonlinear ordinary differential equations are constructed in the series form. The convergence of the obtained series solutions is carefully analyzed. The velocity and temperature profiles are shown and the influence of non-dimensional parameter on the heat transfer is discussed in detail. The validity of our solutions is verified by the numerical results.
Komparasi Efisiensi Teknis Bank Umum Konvensional (BUK) dan Bank Umum Syariah (BUS) di Indonesia Dengan Metode Data Envelopment Analysis (DEA)
Authors: Wahab Abdul , Hosen Muhammad Nadratuzzaman , Muhari Syafaat 
Published: September 2019

The Comparation of Technical Efficiency Between Conventional Banks and Islamic Banks in Indonesia Using DEA MethodThis research is to compare the levels of technical efficiency between BUK and BUS by employing non-parametric Data Envelopment Analysis (DEA). This research assigns Third Party Funds, Labor Expenses and Fixed Assets which are input variable, meanwhile Total Credit and Other Incomes are determined as Output Variables. This research also examines the Profitability of BUK and BUS by Using Panel Regression Model with CAR, LDR, NPL and BOPO as independent variables, where ROA and ROE are dependent variables. The result showed that the average technical efficiency of the Conventional Banks is better than that of the Islamic Banks. That is because of the inefficient utilization of Input Variables, namely Third Party Funds, Labor Expenses and Fixed Assets in the Islamic Banks DOI:10.15408/aiq.v6i2.1229
Prioritas Solusi Permasalahan Pengelolaan Zakat di Propinsi Banten dan Kalimantan Selatan dengan Metode AHP
Authors: Huda Nurul , Anggraini Desti , Ali Khalifah Muhamad , Mardoni Yosi , Rini Nova 
Published: September 2019

The Priority Problems and Solutions of Zakah Management in Banten and South Borneo Using AHP. The aim of this study is to map the priority problems and solutions in the management of zakat by using AHP (Analytic Hierarchy Process). Results of a study reveals that there are three kinds of priority issues and solutions zakat management divided by stakeholder agencies (stakeholders) zakat, i.e regulators, zakat organization (OPZ), muzaki and mustahik . The Analytical Hierarchy Process (AHP) model at Banten and Jakarta give a same priority score, i.e. the institution for solving problem in zakat management is OPS dan regulator solution priority is amil sertification DOI:10.15408/aiq.v6i2.1232
Analisis Stabilitas Dinar emas dan Dolar AS dalam Denominasi Rupiah
Authors: Harahap Darwis 
Published: September 2019

Stability Analysis of Gold Dinar and US Dollar in Rupiah Denomination. This study was aimed to (a) to know if there is a causality relation between Gold Dinar and U.S. Dolar, (b) to know that Gold Dinar more stabil than U.S. Dolar AS, (c) to know whether Gold Dinar can be alternative currency as a substitute for U.S. Dolar. The result is that the growth of Gold Dinar higher than U.S. Dolar, the result of Granger causality test shown that there was undirectional causality from Gold Dinar to U.S. Dolar. The result of Analysis of Variance (ANOVA) shown that U.S. than Dinar Gold more stabil Dolar AS that measured by Rupiah. From all of result tests, it can conclude that Gold Dinar can be a alternative currency instead of U.S. Dolar. DOI:10.15408/aiq.v6i2.1235
Factors that Influenced People to Become Islamic Bank customer: a study on kancana VIllagers
Authors: Sari Indah Mulia , Wibowo Hendro , Suprapto Edy 
Published: September 2019

Islamic finance and banking industry in Indonesia has shown a significant growth, average growth of 30% more per year in the last five years, with a total number of Islamic banks customers as much as 12 million accounts, or market share 4.8%. In this study, researchers attempt to describe the events in rural districts West Java related to the factors that influence people to become customers of Islamic banks. Data processing by tabulation and scoring and based on the analysis and discussion are carried out. The results of this study indicate that the Islamic bank customers’ data are mostly women in productive age with maximum a senior high school education and their profession up mostly are traders. Others reasearch results related to factors which influence people to become customers of Islamic banks were influenced by psychological, social, personal, economic and cultural factors.DOI:10.15408/aiq.v7i1.1360