bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of the Performance of Mergers: Revisiting Results after a Prolonged Period
Authors: Peta Jan , Reznakova Maria 
Published: January 2021

Research background: Mergers and acquisitions (M&As) have become a widespread tool for business growth strategy. Considering the developments after the previous financial crisis, a fresh wave of M&As is expected to appear in the near future. Investors will look for suitable businesses to consolidate their market position.
Purpose of the article: The aim of this work is to assess the performance of completed mergers over a period of five years and compare the results with previous research in which we examined the success of mergers over a three-year period. Our goal was to find out if any differences in performance indicators occur and if these differences are significant. The results may offer potential indicators of merger success rate prediction.
Methods: We focused our research on mergers of private companies (i.e. not publicly traded companies) in the Czech Republic. Our research sample contained 50 completed mergers. The mergers were divided into two groups
– successful and unsuccessful – according to the sales and profit of the merged company. We calculated financial indicators for each group based on accounting data. We then used the Mann-Whitney U test to test the significance of the differences between the indicator values.
Findings & value added: Several important performance indicators emerged. The most significant included production consumption to sales, the material cost to sales, receivables to sales, assets turnover and profitability ratios. The ratio labour cost to sales was replaced with the ratio value added to labour cost. Our research concludes that these indicators can be considered crucial.
The Qualitative Comparative Analysis: An Overview of a Causal Complexity Approach
Authors: Smela Monika 
Published: January 2021

Research background: Alongside with the development of configurative comparative analysis aiming at identification of necessary and sufficient conditions, various formal methods used for this purpose have been formulated during the last decades. One of them is qualitative comparative analysis (QCA), one of approaches used for causal explanation of phenomena of cases performed in the field of international economics and global affairs.
Purpose of the article: The main purpose of the article is to provide a detailed overview of the QCA method in global context, to define its methodologic foundations and consequently introduce the key concepts of the method. The article also provides a comparison of QCA to typical tools of qualitative and quantitative approaches. On the basis of this part, both pros and cons of QCA are derived.
Methods: Basically, the methods of analysis, deduction and comparison are used to fulfil the purpose of the article. The existing and available papers and books coping with the topic of QCA and its position among other research methods are reviewed to provide an overview on the selected method.
Findings & Value added: The QCA is a method based on analysing stated relations. It bridges the quantitative and qualitative research and reveals certain patterns based on causal complexity principles, however, it is done regarding heterogeneity and diversity of individual researched cases. It is a method applicable to the middle number of cases, it means too few cases for statistical methods on the other hand too many cases for typical qualitative approaches.
Re-orientation of Russia to the Asian markets as a main direction of its foreign trade policy
Authors: Solodukhina Olga , Bukreeva Tatyana , Minakova Irina , Golovin Artyom 
Published: January 2021

Research background: The authors on a systematic basis have investigated the features of trade relations between Russia and neighboring Asian states. It was published several articles on this issue in Russia and abroad, including publications in Scopus and Web of Science indexed journals.
Purpose of the article: The aim of the research is to analyze the current situation and prospects for the development of mutual trade cooperation between Russia and neighboring Asian states (Kazakhstan, Mongolia, China, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan).
Methods: The research is based on the methodology of general system theory. The present research was accomplished using the following methods for studying complex social objects: synthesis, comparison, system analysis, analogy, construction of scientifically based hypotheses, etc. The theoretical basis for the study was the works of M.O. Slobodchikoff, M.E. Aleprete [1], P. Bargues-Pedreny [2], R. Mac Ginty [3], and J. L. Austin [4].
Findings & Value added: The authors have investigated mutual trade cooperation between Russia and neighboring Asian states (Kazakhstan, Mongolia, China, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan). The study has showed that the major problem of Russia’s trade with neighboring Asian states is based on resource-oriented export. Russia’s key task at Central Asian market is to expand the share of non-resource-based sectors. A variety of export categories will make the Russian economy more resilient to global fluctuations and crises. At the same time, it is necessary to develop trade and economic cooperation with India, Indonesia and Brazil, as well as to form a coalition of non-aligned countries and African countries in order to deter China and the USA.
Colon capsule endoscopy in colorectal cancer screening: a systematic review
Authors: Vuik Fanny E. R. , Nieuwenburg Stella A. V. , Moen Sarah , Spada Cristiano , Senore Carlo , Hassan Cesare , Pennazio Marco , Rondonotti Emanuele , Pecere Silvia , Kuipers Ernst J. , Spaander Manon C. W. 
Published: January 2021

Abstract
Introduction Primary colonoscopy and fecal immunochemical test (FIT) are the most commonly used colorectal cancer (CRC) screening modalities. Colon capsule endoscopy (CCE) might be an alternative. Data on the performance of CCE as a CRC screening tool in a screening population remain scarce. This is the first systematic review to provide an overview of the applicability of CCE as a CRC screening tool.
Methods A systematic search was conducted of literature published up to September 2020. Studies reporting on CRC screening by second-generation CCE in an average-risk screening population were included.
Results 582 studies were identified and 13 were included, comprising 2485 patients. Eight studies used CCE as a filter test after a positive FIT result and five studies used CCE for primary screening. The polyp detection rate of CCE was 24 % – 74 %. For polyps > 6 mm, sensitivity of CCE was 79 % – 96 % and specificity was 66 % – 97 %. For polyps ≥ 10 mm, sensitivity of CCE was 84 % – 97 %, which was superior to computed tomographic colonography (CTC). The CRC detection rate for completed CCEs was 93 % (25/27). Bowel preparation was adequate in 70 % – 92 % of examinations, and completion rates varied from 57 % to 92 %, depending on the booster used. No CCE-related complications were described.
Conclusion CCE appeared to be a safe and effective tool for the detection of CRC and polyps in a screening setting. Accuracy was comparable to colonoscopy and superior to CTC, making CCE a good alternative to colonoscopy in CRC screening programs, although completion rates require improvement.
Evaluación de Errores de Posicionamiento en los 6 Grados de Libertad en Pacientes con Cáncer de próstata tratados con radioterapia
Authors: Sanchez Forero Ricardo Antonio , Olejua Villa Peter Alfonso , Rocha Morales Andrea , Murillo Raul 
Published: January 2021

Resumen
Objetivos Determinar la magnitud de los errores de posicionamiento en los 6 grados de libertad y calcular el Margen a CTV para un protocolo adaptado en pacientes con cáncer de próstata temprano y localmente avanzado en un centro de referencia en Colombia.
Métodos Se realizó un estudio observacional prospectivo en 61 pacientes con cáncer de próstata tratados con radioterapia en el Centro Javeriano de Oncología del Hospital Universitario San Ignacio durante el 2018, con toma de imágenes volumétricas de rayos x durante los primeros 3 días de tratamiento obteniéndose un promedio en errores traslacionales y rotacionales. Posteriormente se tomaron imágenes semanales. Además, se realizó el cálculo del margen al PTV y variaciones en vejiga y recto durante el tratamiento.
Resultados Un total de 508 imágenes fueron registradas durante las 8 semanas de tratamiento, los errores traslacionales y rotacionales tuvieron un comportamiento alrededor de cero sin diferencias significativas inclusive en pacientes con IMC > = 25. También se calculó el margen al PTV encontrándose entre 5 y 8 mm, en cuanto a las medidas de vejiga y recto no se encontraron diferencias estadísticamente significativas en las imágenes adquiridas durante la radioterapia.
Conclusiones De acuerdo a los datos encontrados en este estudio, una adecuada reproducibilidad en paciente con cáncer de próstata puede ser encontrada usando el método de registro rígido de la anatomía pélvica ósea, promediando las 3 primeras imágenes y posteriormente con imágenes semanales, en centros con alta demanda de pacientes garantizando así una adecuada precisión del tratamiento.
Is Ultrasound-Guided Single-Shot Quadratus Lumborum Block a Viable Alternative to a Caudal Block in Pediatric Urological Surgery?
Authors: Rotem Shahar , Raisin Galiya , Ostrovsky Israel A. , Kocherov Stanislav , Jaber Jawdat , Zeldin Alexander , Feldman Elena , Gozal Yaacov , Chertin Boris 
Published: January 2021

Abstract
Objective To review our experience with quadratus lumborum block (QLB) in pediatric urology.
Materials and Methods This mixed prospective-retrospective study included 41 patients who received QLB following induction of general anesthesia. Data collected included: the duration of block induction, surgery, hospitalization, postoperative pain score, and the use of rescue analgesia. The results were compared with a matched cohort of patients who received caudal block (CB) during similar surgeries from our retrospectively acquired data registry.
Results There was no difference between the type and length of surgery, weight, sex, and age of the patients between the two groups. The duration of block induction was significantly shorter in the CB group compared with the QLB group (35.6 ± 14.6 vs. 239 ± 33.4 seconds [p < 0.0001]). There was no difference between the groups in pain scores at 1, 4, and 24 hours postoperatively, in the time to first rescue analgesia, or in the postoperative opioid requirements. However, the QLB group required more rescue analgesia compared with CB group (p = 0.016). Finally, no differences were found in the use of rescue analgesics at home, pain record behavior, and overall satisfaction.
Conclusion Our data show that QLB might serve as a viable alternative to CB in pediatric urological surgery.
Effect of growth rate on quality of Alq3 films and Co diffusion
Authors: Mondal Kali Prasanna , Bera Sambhunath , Gupta Ajay , Kumar Dileep , Gome Anil , Reddy V Raghavendra , Ito Nobuaki , Yamada-Takamura Yukiko , Pandit Pallavi , Roth Stephan V 
Published: January 2021

Abstract
The quality of organic semiconductor tris-(8-hydroxyquinoline)aluminum (Alq3) thin films, deposited at the rate of 5.0 Å s−1, 2.5 Å s−1, and 1.0 Å s−1 respectively, have been investigated using x-ray reflectivity (XRR) and grazing incidence small angle x-ray scattering (GISAXS) studies. While XRR provides information about structural details, GISAXS provides information about the morphology of the films. The film quality is very good with a surface roughness of only 8 Å. The electron density of the film increases from 0.39 e Å−3 to 0.43 e Å−3 due to reduction of growth rate from 5 Å s−1 to 1 Å s−1. The higher electron density (0.43 e Å−3) of the film deposited at the lower deposition rate (1 Å s−1) indicates the presence of less defects and/or porosity in the film. Average separation between pores increases from 200 Å to 500 Å and simultaneously pore depth decreases from 300 Å to 120 Å due to reduction of growth rate from 5 Å s−1 to 1 Å s−1. The mixing between Alq3 and Co at the Alq3/Co interface and diffusion of Co into Alq3 layer through Co/Alq3 interface have been studied by combined XRR and grazing incidence x-ray standing wave (GIXSW) measurements for the three Alq3/Co/Alq3/W/Si multilayers in which Alq3 films were deposited at the above mentioned three different rates. It is found that there is about 30 Å thick (∼ two monolayer of Alq3) mixing region at the Alq3/Co interface in three multilayer samples, which suggests that mixing at this interface is independent of the growth rate of Alq3 films. The depth of diffusion of Co into Alq3 through Co/Alq3 interface reduces from 300 Å to 160 Å due to the reduction of deposition rate from 5 Å s−1 to 1 Å s−1. This study suggests that by controlling the growth rate of Alq3, porosity as well as the diffusion of ferromagnetic Co in an organic semiconductor Alq3 can be reduced, which plays an important role in the performance of organic spin valve devices.
Application of Haar wavelet method for free vibration of laminated composite conical–cylindrical coupled shells with elastic boundary condition
Authors: Kim Kwanghun , Kwak Songhun , Choe Kwangnam , Han Wonjin , Ri Yonghua , Ri Kumchol 
Published: January 2021

Abstract
In this paper, the Haar wavelet discretization method (HWDM) is proposed for the calculation of natural frequency of the laminated composite conical-cylindrical coupled shells. The displacement components of the system are set by the first order shear deformation shell theory (FSDST), and all the displacement functions of conical and cylindrical shells including boundary conditions are obtained by the Haar wavelet and its integrals. The Hamilton’s principle is applied to the constitution equation and the artificial spring technique is introduced to generalize the boundary and continuity conditions of the coupled structure. The convergence and accuracy of the proposed method are validated by comparing with the results obtained from the previous works and finite element analysis, and the proposed method shows high accuracy, reliability and good convergence in both individual structure and coupled structure. Using the proposed method, in the laminated composite conical–cylindrical coupled shell with any boundary condition, new numerical results on the natural frequency are obtained along with the parameter studies, and these results can provide the referential data for the following research in this field.
Numerical investigation of a real-time temperature sensor based on high-order soliton compression
Authors: Wang F , Sun Y , Zhou X , Zhang X N , Cheng T L 
Published: January 2021

Abstract
Temperature sensors based on photonic crystal fibers (PCFs) have attracted considerable attentions due to their desirable advantages. However, the real-time temperature sensing in the temporal region is rarely studied. Here, an all-fiber real-time high-sensitivity temperature sensor is fabricated based on the high-order soliton compression process. A 1560 nm femtosecond fiber laser is used as the injected pulse source and the alcohol-filled silica PCF is adopted as the temperature sensitive device. Temperature sensing can be realized by detecting the peak values of temporal profiles with an oscilloscope at the change of temperature. The oscilloscope possesses faster response rate than the optical spectrum analyzer and can record the variation of the single pulse. Through numerical simulations, a real-time temperature sensor with the sensitivity of 4.91 W °C−1 is achieved at the fiber length of 21 cm. Our simulated results show that the designed temperature sensors with low cost, compact all-fiber structure and real-time response are competitive for application in temperature measurement devices.
Tunneling current-induced entanglement between electronic and vibrational modes in coupled molecules
Authors: Maslova N S , Mantsevich V N , Arseyev P I , Sokolov I M 
Published: January 2021

Abstract
The formation of entanglement between the electronic and vibrational subsystems of two interacting molecules localized between tunneling contact leads was theoretically analyzed using the Keldysh diagram technique. The time evolution of concurrence after ‘switching on’ the coupling between the molecules was investigated. It was revealed that non-zero concurrence can be present in the system in the resonant case, even if the molecules are connected by the leads. It was also shown that the stationary value of concurrence can be directly expressed by the stationary tunneling current. It reveals non-monotonic behavior with increasing coupling between the molecule’s electronic states. In the regime of small tunneling rates between the molecules and the leads, ‘switching on and off’ the coupling between molecules multiple times, while detecting one of the molecules’ charge states after each ‘on’ and ‘off’ cycle, results in the appearance of non-classical phonon statistics and opens the possibility of creating a vibrational mode in a Fock state.
Generalized neural decoders for transfer learning across participants and recording modalities
Authors: Peterson Steven M , Steine-Hanson Zoe , Davis Nathan , Rao Rajesh P N , Brunton Bingni W 
Published: January 2021

Abstract

Objective. Advances in neural decoding have enabled brain-computer interfaces to perform increasingly complex and clinically-relevant tasks. However, such decoders are often tailored to specific participants, days, and recording sites, limiting their practical long-term usage. Therefore, a fundamental challenge is to develop neural decoders that can robustly train on pooled, multi-participant data and generalize to new participants. Approach. We introduce a new decoder, HTNet, which uses a convolutional neural network with two innovations: (a) a Hilbert transform that computes spectral power at data-driven frequencies and (b) a layer that projects electrode-level data onto predefined brain regions. The projection layer critically enables applications with intracranial electrocorticography (ECoG), where electrode locations are not standardized and vary widely across participants. We trained HTNet to decode arm movements using pooled ECoG data from 11 of 12 participants and tested performance on unseen ECoG or electroencephalography (EEG) participants; these pretrained models were also subsequently fine-tuned to each test participant. Main results. HTNet outperformed state-of-the-art decoders when tested on unseen participants, even when a different recording modality was used. By fine-tuning these generalized HTNet decoders, we achieved performance approaching the best tailored decoders with as few as 50 ECoG or 20 EEG events. We were also able to interpret HTNet’s trained weights and demonstrate its ability to extract physiologically-relevant features. Significance. By generalizing to new participants and recording modalities, robustly handling variations in electrode placement, and allowing participant-specific fine-tuning with minimal data, HTNet is applicable across a broader range of neural decoding applications compared to current state-of-the-art decoders.
Functional MRI based simulations of ECoG grid configurations for optimal measurement of spatially distributed hand-gesture information
Authors: van den Boom Max A , Miller Kai J , Ramsey Nick F , Hermes Dora 
Published: January 2021

Abstract

Objective. In electrocorticography (ECoG), the physical characteristics of the electrode grid determine which aspect of the neurophysiology is measured. For particular cases, the ECoG grid may be tailored to capture specific features, such as in the development and use of brain–computer interfaces (BCI). Neural representations of hand movement are increasingly used to control ECoG based BCIs. However, it remains unclear which grid configurations are the most optimal to capture the dynamics of hand gesture information. Here, we investigate how the design and surgical placement of grids would affect the usability of ECoG measurements. Approach. High resolution 7T functional MRI was used as a proxy for neural activity in ten healthy participants to simulate various grid configurations, and evaluated the performance of each configuration for decoding hand gestures. The grid configurations varied in number of electrodes, electrode distance and electrode size. Main results. Optimal decoding of hand gestures occurred in grid configurations with a higher number of densely-packed, large-size, electrodes up to a grid of ~5 × 5 electrodes. When restricting the grid placement to a highly informative region of primary sensorimotor cortex, optimal parameters converged to about 3 × 3 electrodes, an inter-electrode distance of 8 mm, and an electrode size of 3 mm radius (performing at ~70% three-class classification accuracy). Significance. Our approach might be used to identify the most informative region, find the optimal grid configuration and assist in positioning of the grid to achieve high BCI performance for the decoding of hand-gestures prior to surgical implantation.
Perception analysis of the Indonesian society on twitter social media on the increase in BPJS kesehatan contribution in the Covid 19 pandemic era
Authors: Permana F C , Wicaksono Z M , Kurniawan C , Abdullah A S , Ruchjana B N 
Published: January 2021

Abstract
In the conditions of the Covid-19 Pandemic, the president of Indonesia, Ir Joko Widodo, on May 13, 2020, announced an increase in BPJS Kesehatan contribution. This announcement made everyone in the community boisterous, including Indonesians on social media twitter. Currently, Indonesia is ranked fifth in the world using social media twitter, so data mining on Twitter is a good opportunity to see the public’s response to a developing issue. This paper will discuss perceptions analysis of the Indonesian people on social media regarding the issue of increasing the contribution of BPJS Kesehatan. The issue of increasing the contribution of BPJS Kesehatan has been a topic of conversation on Twitter for a long time. After 30 days of data crawling, 145,359 tweets were obtained. This amount of data proves that the Indonesian people are very active in issuing opinions regarding the issue of increasing contribution BPJS Kesehatan. Various kinds of differences of opinion in each conversation are classified into three types of opinion using the Naive Bayes method. The three types of opinions are classified into positive opinions, negative opinions, and neutral opinions. The opinion classification results obtained were 73% containing negative opinions, 18% positive opinions, and 9% neutral opinions. This can serve as an early warning for the government to see the public’s response in every policy taken. So that each policy can be evaluated for the better.
Text classification on the Instagram caption using support vector machine
Authors: Ramadhani P P , Hadi S 
Published: January 2021

Abstract
Instagram is Top 10 the most popular social networks worldwide with over 1 billion monthly active users. Instagram is especially prevalent in the United States, India, and Brazil, which have over 130 million, 100, and 91 million Instagram users each. And the fact that so many people use Instagram, Social Media Marketing is also one of the goals of people using social media as a place to market their products. To help people to find out what’s trending on Instagram, this paper using text classification to categorizing Instagram caption into organized groups (fashion, food & beverage, technology, health & beauty, lifestyle & travel). In this paper, we are testing the Support Vector Machine algorithm to classify the trending on Instagram using 66171 captions. The study used the TFIDF method (Term Frequency times Inverse Document Frequency) measure and used variations of percentage for splitting data. The results showed that the use of SVM with a percentage ratio of 70:30 resulted in higher accuracy compared to others.