bluuebunny/crossref_metadata_2025_split huggingface dataset:
On-demand state separation for cloud data warehousing
Authors: Winter Christian , Giceva Jana , Neumann Thomas , Kemper Alfons 
Published: September 2022

Moving data analysis and processing to the cloud is no longer reserved for a few companies with petabytes of data. Instead, the flexibility of on-demand resources is attracting an increasing number of customers with small to medium-sized workloads. These workloads do not occupy entire clusters but can run on single worker machines. However, picking the right worker for the job is challenging. Abstracting from worker machines, e.g., using stateless architectures, introduces overheads impacting performance. Solutions without stateless architectures resort to query restarts in the event of an adverse worker matching, wasting already achieved progress.
In this paper, we propose migrating queries between workers by introducing on-demand state separation. Using state separation only when required enables maximum flexibility and performance while keeping already achieved progress. To derive the requirements for state separation, we first analyze the query state of medium-sized workloads on the example of TPC-DS SF100. Using this, we analyze the cost and describe the constraints necessary for state separation on such a workload. Furthermore, we describe the design and implementation of on-demand state separation in a compiling database system. Finally, using this implementation, we show the feasibility of our approach on TPC-DS and give a detailed analysis of the cost of query migration and state separation.
CDI-E
Authors: Das Prakash , Srivastava Shivangi , Moskovich Valentin , Chaturvedi Anmol , Mittal Anant , Xiao Yongqin , Chowdhury Mosharaf 
Published: September 2022

We live in the gilded age of data-driven computing. With public clouds offering virtually unlimited amounts of compute and storage, enterprises collecting data about every aspect of their businesses, and advances in analytics and machine learning technologies, data driven decision making is now timely, cost-effective, and therefore, pervasive. Alas, only a handful of power users can wield today's powerful data engineering tools. For one thing, most solutions require knowledge of specific programming interfaces or libraries. Furthermore, running them requires complex configurations and knowledge of the underlying cloud for cost-effectiveness.
We decided that a fundamental redesign is in order to democratize data engineering for the masses at cloud scale. The result is Informatica Cloud Data Integration - Elastic (CDI-E). Since the early 1990s, Informatica has been a pioneer and industry leader in building no-code data engineering tools. Non-experts can express complex data engineering tasks using a graphical user interface (GUI). Informatica CDI-E is built to incorporate the simplicity of GUI in the design layer with an elastic and highly scalable run time to handle data in any format without little to no user input using automated optimizations. Users upload their data to the cloud in any format and can immediately use them in conjunction with their data management and analytic tools of choice using CDI-E GUI. Implementation began in the Spring of 2017, and Informatica CDI-E has been generally available since the Summer of 2019. Today, CDI-E is used in production by a growing number of small and large enterprises to make sense of data in arbitrary formats.
In this paper, we describe the architecture of Informatica CDI-E and its novel no-code data engineering interface. The paper highlights some of the key features of CDI-E: simplicity without loss in productivity and extreme elasticity. It concludes with lessons we learned and an outlook of the future.
Magma
Authors: Lakshman Sarath , Gupta Apaar , Suri Rohan , Lashley Scott , Liang John , Duvuru Srinath , Mayuram Ravi 
Published: September 2022

We present Magma, a write-optimized high data density key-value storage engine used in the Couchbase NoSQL distributed document database. Today's write-heavy data-intensive applications like ad-serving, internet-of-things, messaging, and online gaming, generate massive amounts of data. As a result, the requirement for storing and retrieving large volumes of data has grown rapidly. Distributed databases that can scale out horizontally by adding more nodes can be used to serve the requirements of these internet-scale applications. To maintain a reasonable cost of ownership, we need to improve storage efficiency in handling large data volumes per node, such that we don't have to rely on adding more nodes. Our current generation storage engine, Couchstore is based on a log-structured append-only copy-on-write B+Tree architecture. To make substantial improvements to support higher data density and write throughput, we needed a storage engine architecture that lowers write amplification and avoids compaction operations that rewrite the whole database files periodically.
We introduce Magma, a hybrid key-value storage engine that combines LSM Trees and a segmented log approach from log-structured file systems. We present a novel approach to performing garbage collection of stale document versions avoiding index lookup during log segment compaction. This is the key to achieving storage efficiency for Magma and eliminates the need for random I/Os during compaction. Magma offers significantly lower write amplification, scalable incremental compaction, and lower space amplification while not regressing the read amplification. Through the efficiency improvements, we improved the single machine data density supported by the Couchbase Server by 3.3x and lowered the memory requirement by 10x, thereby reducing the total cost of ownership up to 10x. Our evaluation results show that Magma outperforms Couchstore and RocksDB in write-heavy workloads.
TimeEval
Authors: Wenig Phillip , Schmidl Sebastian , Papenbrock Thorsten 
Published: September 2022

Detecting anomalous subsequences in time series is an important task in time series analytics because it serves the identification of special events, such as production faults, delivery bottlenecks, system defects, or heart flicker. Consequently, many algorithms have been developed for the automatic detection of such anomalous patterns. The enormous number of approaches (i. e., more than 158 as of today), the lack of properly labeled test data, and the complexity of time series anomaly benchmarking have, though, led to a situation where choosing the best detection technique for a given anomaly detection task is a difficult challenge.
In this demonstration, we present TimeEval, an extensible, scalable and automatic benchmarking toolkit for time series anomaly detection algorithms. TimeEval includes an extensive data generator and supports both interactive and batch evaluation scenarios. With our novel toolkit, we aim to ease the evaluation effort and help the community to provide more meaningful evaluations.
Stabilization by an estimated state controller of nonlinear time-varying systems
Authors: Damak Hanen , Hammami Mohamed Ali 
Published: September 2022

Abstract
In linear systems, it is well known that any combination of stabilizing
state feedback controller and a state observer results in the output feedback controller
which asymptotically stabilizes the closed-loop system. This is known as the separation principle,
which does not generally hold for nonlinear systems. For nonlinear systems, the output feedback problem is usually
pursued by extending the results of observer synthesis, which
itself is a challenging problem. In this paper, we investigate the stabilization via an observer configuration problem for some classes of nonlinear time-varying systems by using new integral inequalities of Gronwall type. Given that the sufficient conditions of the controller
and observer problem are satisfied, we show that the proposed
controller with estimated state feedback from the proposed practical observer
will achieve the global practical exponential stabilization. Furthermore, the effectiveness of the proposed scheme is shown through simulation for two numerical examples.
An Analysis of High-Frequency Helmholtz Problems in Domains with Conical Points and Their Finite Element Discretisation
Authors: Chaumont-Frelet Théophile , Nicaise Serge 
Published: September 2022

Abstract
We consider Helmholtz problems in three-dimensional domains featuring conical points.
We focus on the high-frequency regime and derive novel sharp upper-bounds for the stress intensity factors of the singularities associated with the conical points.
We then employ these new estimates to analyse the stability of finite element discretisations.
Our key result is that lowest-order Lagrange finite elements are stable under the assumption that “

ω
2

⁢
h

\omega^{2}h

is small”.
This assumption is standard and well known in the case of smooth domains, and we show that it naturally extends to domain with conical points, even when using uniform meshes.
Particle crystallization by supercritical antisolvent processing techniques: the case of Retama raetam powder for pharmaceutical purposes
Authors: Rejab Asma , Ksibi Hatem 
Published: September 2022

Abstract
In this work, the Supercritical AntiSolvent process has been used to generate micronized crystals of Retama raetam. The process was performed using ethanol and CO2 as solvent and antisolvent, respectively. Recrystallization was made at various temperatures (30–50 °C) and pressures (8–12 MPa) using a constant flow rate of supercritical CO2 (2 kg/h). We have been also varied the solution flow rate and its volume to identify conditions leading to spheroidal powder morphology. Size and morphology have been characterized by scanning electron microscopy and ImageJ software. The spraying of the supercritical solution directing the flow towards the precipitator results in the deposition of fine particles with uniform morphology at the bottom, and of a porous film adhering to the precipitator wall. For that reason, thermodynamic and hydrodynamic aspects are discussed so as to rationalize the powder and spongious film characteristics and provide a new way to control the SAS process applied to plant derivatives.
Estimation of entropy and extropy based on right censored data: A Bayesian non-parametric approach
Authors: Al-Labadi Luai , Tahir Muhammad 
Published: September 2022

Abstract
Entropy and extropy are central measures in information theory.
In this paper, Bayesian non-parametric estimators to entropy and extropy with possibly right censored data are proposed.
The approach uses the beta-Stacy process and the difference operator.
Examples are presented to illustrate the performance of the estimators.
Contemporary Visions of Heaven and Hell by a Transylvanian Folk Prophet, Founder of the Charismatic Christian Movement The Lights
Authors: Csáji László Koppány 
Published: September 2022

Abstract
I conducted anthropological fieldwork (2010–2018) in a charismatic Christian new religious movement the Lights founded by a Transylvanian contemporary folk prophet in 2008. The new religious movement (NRM) has local hubs in North Serbia, Romania, and Hungary. After offering insight into the techniques of how the prophet receives his visions of heaven and hell (as answers to the existential dilemmas of death and the afterlife), I analyse the role and reception of these visionary journeys. I combine interpretive anthropology with the genealogical way of discourse analysis introduced by Michel Foucault. I conceive of complex roles for the narratives about the prophet’s visionary journeys and his theory of reincarnation. These narratives attract people who encounter the prophet and inspire them to participate in the NRM’s religious events. The group wanted to legitimate the prophet with the visions’ moderate style and the relative correspondence with the Bible. Nevertheless, the prophet and the group recognized the divisive nature of these narratives. They found that they could manage their evangelization by creating graduated access to information to avoid preconception judgements. Between 2012 and 2014, the core group of this NRM (lights and the prophet) worked out a multi-level discourse space in the group: a gradation where access to knowledge is based on status. I called this balanced and long-term initiation process the system of threshold narratives.
Treatment of benign prostatic hyperplasia and abnormal ejaculation: live imaging reveals tamsulosin – but not tadalafil – induced dysfunction of prostate, seminal vesicles and epididymis
Authors: Seidensticker Mathias , Tasch Sabine , Mietens Andrea , Exintaris Betty , Middendorff Ralf 
Published: September 2022

In brief
One of the most commonly prescribed benign prostatic hyperplasia (BPH) pharmacotherapies, the alpha1-adrenergic blocker tamsulosin, is frequently discontinued, especially by younger patients due to ejaculatory disorders, often without feedback to the attending physician. Using a newly developed ex vivo system simulating sympathetic effects on the most relevant structures for the emission phase of ejaculation, that is seminal vesicles, prostate and the most distal part of the cauda epididymidis, we elucidated that tamsulosin fundamentally disturbed the obligatory noradrenaline-induced contractions in each of these structures which differed to an alternative pharmacotherapy, the PDE5 inhibitor tadalafil.

Abstract
Structures responsible for the emission phase of ejaculation are the seminal vesicles, the most distal part of the cauda epididymidis and the newly characterized prostate excretory ducts. The emission phase is mainly regulated by the sympathetic nervous system through alpha1-adrenergic receptor activation by noradrenaline at the targeted organs. BPH treatment with alpha1A-adrenergic antagonists such as tamsulosin is known to result in ejaculation dysfunction, often leading to discontinuation of therapy. Mechanisms of this disturbance remain unclear. We established a rodent model system to predict drug responses in tissues involved in the emission phase of ejaculation. Imitating the therapeutic situation, prostate ducts, seminal vesicles and the distal cauda epididymal duct were pre-incubated with the smooth muscle cell-relaxing BPH drugs tadalafil, a novel BPH treatment option, and tamsulosin in an ex vivo time-lapse imaging approach. Afterwards, noradrenergic responses in the relevant structures were investigated to simulate sympathetic activation. Noradrenaline-induced strong contractions ultimately lead to secretion in structures without pre-treatment. Contractions were abolished by tamsulosin in prostate ducts and seminal vesicles and significantly decreased in the epididymal duct. Such effects were not observed with tadalafil pre-treatment. Data visualized a serious dysfunction of each organ involved in emission by affecting alpha1-adrenoceptors localized at the relevant structures but not by targeting smooth muscle cell-localized PDE5 by tadalafil. Our model system reveals the mechanism of tamsulosin resulting in adverse effects during ejaculation in patients treated for BPH. These adverse effects on contractility do not apply to tadalafil treatment. This new knowledge translates directly to clinical medicine.
Synthesis and Photoluminescence Properties of Ca5(PO4)3F: Ln (Ln: Dy3+, Eu3+ and Sm3+) Phosphors for near UV-based solid state lighting
Authors: Nandanwar C.M. , Kokode N.S. 
Published: September 2022

The wet chemical synthesis of Ca5(PO4)2F host with lanthanide doped Dy3+, Eu3+ and Sm3+ was reported. The X-ray diffraction (XRD), structural and photoluminescence characteristics of phosphors were thoroughly investigated. The hexagonal system with the space group P 63/m (176) was verified by X-ray powder diffraction. Under UV excitation (352 nm), Ca5(PO4)2F:Dy3+ emits 481 nm (blue) and 575 nm (yellow), corresponding to 4F9/2→6H15/2 (magnetic dipole) and 4F9/2→6H13/2 (electric dipole) transitions, respectively. When Ca5(PO4)2F:Eu3+ phosphor was excited at 394 nm, the emission spectra showed strong bands at 591 nm (orange) and 614 nm (red). When excited at 403 nm, the emission spectra of Sm3+ activated Ca5(PO4)2F phosphor displayed emission peaks at 565 nm (yellow) and 599 nm (orange), respectively. The research analyses the photoluminescence characteristics of Ca5(PO4)3F: Ln (Ln: Dy3+, Eu3+ and Sm3+) as a possible material for near UV-based solid-state lighting.
An 18th Century Ukrainian Parallel to the Baltic Myth of Sovius
Authors: Rakhno Kostyantyn 
Published: September 2022

The article is devoted to the story of Sovius, which is contained in the Western Ruthenian translation of the 13th century Chronograph by John Malalas. This text of 1261 reflects the Baltic mythological tradition and has long been the subject of academic study. The mythological character Sovius is described as the guide of the dead on the path to Hell. After a series of experiments on himself, he introduces the custom of burning bodies and making sacrifices to the pagan gods. Comparative studies reveal the idea of him as being the first to die, opening the way to the afterlife for the next generation of people and becoming the ruler of this underworld. Apparently the worship of the Baltic deities arose from Sovius’ stories to his son about the experience of dying. He is the common ancestor of the Lithuanians, Yatvyags and Prussians, who practice cremation of the dead. After relating the tale of Sovius, the chronographer condemns the pagan beliefs and customs of the Lithuanian neighbours. Certain elements of this myth have been preserved in the interlude within the Easter drama of the Ukrainian cultural figure and educational writer, the priest-monk Mytrofan Dovgalevsky. However, this Ukrainian text describes a Belarusian. The father dies, his sons resurrect him and in a comical style the father tells his sons what he had to go through in that underworld. This story reflects the popular, semi-pagan perception of Christian images, which according to Dovgalevsky enhances the comic effect.
Intención de vacunarse contra COVID-19 en la población de 40 años en adelante en México
Authors: Cavazos Arroyo Judith , Pérez de Celis Herrero María de la Concepción 
Published: September 2022

Objetivo Evaluar el efecto de las fuentes de información sobre COVID-19, los beneficios y las barreras percibidas de la vacunación, y la actitud hacia la vacunación sobre la intención de vacunarse contra COVID-19 en la población de 40 años en adelante en México.
Métodos Se desarrolló una investigación cuantitativa, transversal y explicativa. Se aplicó una encuesta electrónica a 703 personas de 40 años en adelante que residen en México. El análisis de resultados se realizó a través de la técnica de ecuaciones estructurales por medio del método de mínimos cuadrados parciales.
Resultados Las fuentes de información sobre COVID-19 influyen positivamente sobre los beneficios percibidos de la vacuna y disminuyen las barreras percibidas. Además, los beneficios percibidos influyen positivamente sobre la actitud hacia la vacunación de COVID-19; sin embargo, las barreras no afectan la actitud. Adicionalmente, esta última influye en la intención a vacunarse contra COVID-19 e indirectamente las fuentes de información y los beneficios percibidos influyen sobre la intención a vacunarse mediados por la actitud.
Determinantes intermedios de la salud en personas institucionalizadas reincidentes en el consumo de sustancias psicoactivas
Authors: Murgas-Quintero Maria Cecilia , García-Ubaque Juan Carlos 
Published: September 2022

Objetivo Caracterizar los determinantes intermedios de la salud en consumidores de sustancias psicoactivas (SPA) reincidentes que están siendo atendidos en un centro de rehabilitación (UNIPSSAM IPS) de la ciudad de Valledupar, Colombia, durante 2021.
Métodos Investigación descriptiva de corte transversal. La muestra estuvo constituida por 21 personas reincidentes en el consumo de sustancias psicoactivas que asisten a un centro de rehabilitación de Valledupar, quienes, previo consentimiento informado, diligenciaron el instrumento de recolección de datos. La información fue procesada en SPSS y resumida en tablas uni y bivariadas.
Resultados Se evidencian historias de consumo progresivo asociado a determinantes intermedios de salud, en especial circunstancias materiales de vida y comportamentales, mientras que las socioambientales, sobre todo derechos e inclusión social, parecen no afectar la reincidencia.
Conclusiones Es necesario realizar intervenciones y programas, orientados a la comunidad, familia e individuo, las cuales tengan un enfoque promocional de la salud y preventivo de la reincidencia en el consumo de psicoactivos, al tiempo que se fortalezca la investigación en este campo.
The impact of the pandemic on the fitness sector – The general international situation and a Hungarian example
Authors: Rada Alexandra , Szabó Ágnes 
Published: September 2022

AbstractBefore the Coronavirus pandemic, the fitness industry was a growing sector globally, both in terms of the number of members and clubs; even prior to the global pandemic there were online workouts and technological innovations. With COVID-19, revenues plummeted, and many gyms went out of business. Consumers bought equipment for home use and switched to different types of online or outdoor workouts. This paper aims to investigate how the pandemic affected the fitness sector, and the consumer behavior of former gym members. Our assumption was that the preferences of gym-members had changed, and gyms would have prospered if they had changed their business models and moved to a hybrid model. We conducted in depth-interviews with Hungarian club owners and used an online questionnaire survey to collect data from members of gyms in Hungary. We asked them about exercise habits, home exercise methods, planned future exercise locations, the expectations of customers, safety measures, and service quality. Our assumptions were confirmed. The results may represent useful input for Hungarian fitness centers.
Sundanese Stemming using Syllable Pattern
Authors: Sutedi Ade , Elsen Rickard , Nasrulloh Muhammad Rikza 
Published: September 2022

Stemming is a technique to return the word derivation to the root or base word. Stemming is widely used for data processing such as searching word indexes, translating, and information retrieval from a document in the database. In general, stemming uses a morphological pattern from a derived word to produce the original word or root word.Â In the previous research, this technique faced over-stemming and under-stemming problems. In this study, the stemming process will be improved by the syllable pattern (canonical) based on the phonological rule in Sundanese. The stemming result for syllable patterns gets an accuracy of 89% and the execution of the test data resulted in 95% from all the basic words. This simple algorithm has the advantage of being able to adjust the position of the syllable pattern with the word to be stemmed. Due to some data shortage constraints (typo, loan-word, non-deterministic word with syllable pattern), we can improve to increase the accuracy such as adjusting words and adding reference dictionaries. In addition, this algorithm has a drawback that causes the execution to be over-stemming.