bluuebunny/crossref_metadata_2025_split huggingface dataset:
Corrupción de empresas multinacionales, ineficacia del tipo y buena gobernanza. (¿Por qué no hay sentencias condenatorias en España por este delito?)
Authors: Otero González Pilar 
Published: September 2022

La competencia leal como bien jurídico protegido en el delito de corrupción internacional se ha mostrado insuficiente para incriminar la gravedad de estas conductas, que impiden la prosperidad de los países emergentes. De otro lado, la defectuosa regulación de la competencia española para enjuiciar este delito, junto con el amplio alcance extraterritorial de algunas leyes anticorrupción, está generando un balance muy negativo sobre la eficacia del tipo del art. 286 ter CP para frenar esta lacra.
Debe modificarse, por tanto, el eje de actuación, impulsándose una auténtica gobernanza global que no dependa de los intereses de unos pocos países y corporaciones, centrado en mejorar la calidad de los gobiernos y en otorgar protagonismo a la sociedad civil a través de la gobernanza interrelacional. En el plano jurídico-penal, debe incidirse en la pluriofensividad del delito y especialmente en su lesión del derecho a la soberanía permanente sobre la explotación de los recursos naturales. Finalmente, se propone la flexibilización del principio de personalidad activa para ayudar a la efectividad de la persecución de este delito.
Simulation of hydrodynamics in gas distribution devices for non-homogeneous mode of fluidization
Authors: Kornienko Yaroslav , Haidai Serhii , Yevziutin Pavlo , Sameliuk Oleksandr 
Published: September 2022

An increase in the intensity of diffusion-controlled processes during granulation is provided by apparatuses with non-homogeneous fluidization, the hydrodynamics of which significantly depends on the structural features of the granulator chamber and the gas distributing device (GDD). The main problem is the formation of stagnant zones on the working surface of GDD, which, when supplying a coolant with temperature that exceeds the melting point of granules, leads to the melting of solids and the termination of the process.
In this work, the simulation of hydrodynamics in the granulator chamber was carried out using SolidWorks 2022 SP2 for 4 types of gas distribution devices (GDD) of different configurations with different values ​​of the cross-section coefficient of GDD.
The analysis of the simulation results shows that the most significant influence on the hydrodynamic activity index near the surface of GDD iha has the cross-section coefficient of GDD φ, since even an insignificant increase in the value of φ from 3.0 to 3.5% leads to a significant decrease in the hydrodynamic activity index iha by at least 1.4 times for all considered types of GDD. The simulation of hydrodynamics was carried out without taking into account the presence of solid granular material in the granulator chamber and near the surface of GDD plate.
Special Issue on SATREPS Area-BCM Part 2
Authors: Watanabe Kenji , Leelawat Natt 
Published: September 2022

This special issue includes works related to the ongoing project “Regional Resilience Enhancement through Establishment of Area-BCM at Industry Complexes in Thailand.” This special issue can be considered evidence that the research and development of this project follows and supports the sustainable development goals (SDGs). Let’s imagine we are taking a tour of Area-Business Continuity Management (Area-BCM) and SDGs together.
As a starter, the baseline concept of our Area-BCM is discussed (Kodaka et al.) followed by the papers focusing on the specific SDGs.
Toward SDG Goal 11 Sustainable Cities and Communities
We can start the tour with this goal, as it is the project’s primary focus. In order to have sustainable cities and communities, the concept of Area-BCM can be considered. Related to it, there is a study that reviews and suggests the critical success factors (Meechang and Watanabe). Moreover, we can see the possibility of extending the concept of business continuity to other service sectors, such as tourism during COVID-19 (Yudha et al.).
Toward SDG Goal 8 Decent Work and Economic Growth
Let’s move to the next goal. There is a study exploring the well-being of working people and its likelihood among the local people in the community (Duangkaew et al.). People can be considered human resources in the Area-BCM. Accordingly, learning how people fared during a disaster allows us to design the suitable Area-BCM strategies for organizations. With sustainable employment aspects, inundation model for industrial park-scale is proposed for decision making regarding business continuity (Kakinuma et al.). And a practical model for shared risk assessment within multi-stakeholder is discussed for decision as a community (Ono).
Toward SDG Goal 13 Climate Action
Regarding the third goal, it is necessary to know the outcome of hazard analysis for us to understand the risks. Thus, an approach to flood hazard mapping using the Rainfall-Runoff-Inundation model is presented (Sriariyawat et al.). Through various techniques, flood inundation models are developed. Furthermore, detailed flood inundation model with different return period is proposed for more flexible and feasible decision making (P. C. et al.).
There is still on a way to go. Nevertheless, we hope that these current findings will guide the future research and development of Area-BCM.
Animal Recognition Application Based on Food Type Using Android Based Augmented Reality
Authors: Ardiansyah Dona , Eviyanti Ade , Fitrani Arif Senja 
Published: September 2022

Augmented reality (AR) is a technology with the concept of combining the dimensions of the real world with the dimensions of the virtual world that is displayed in real time. Augmented reality is not like virtual reality which replaces the real world augmented reality only adds and complete this ,this is done by drawing there-dimensional object on the marker, which is a pattern that is unique and can be recognized by its application this method often called the single marker and 3D method tracking objects smartphones allowed the development of augmented reality applications easily inexpensively and can be accessed by many users augmented reality can be utilized in various fields for example for the means of developing children’s education by playing and learning using augmented reality such as using a smartphone as learning medium by using augmented reality android based reality with a marker object to bring up 3d animal objects as a medium for learning and introducing animals bases on the type of food.
Android Based Motorcycle Sales information System Design
Authors: Hidayatullah Mochamad 
Published: September 2022

CV. Jaya Motor is one of the companies engaged in the sale of Honda motorcycles in the city of Sidoarjo in developing sales and promotions at this time CV. Jaya Motor still uses the sales system by distributing brochures even though it has been going well in the city of Sidoarjo but this is not optimal for today because not all people can receive information about CV. Jaya Motor obviously this greatly affects the sales of the Dealers products. Android-based sales information system by utilizing the internet as a means to market products with the hope of CV. Jaya Motor is better known and its products are more in demand by the people of Sidoarjo in particular and by internet users in general. Motorcycle sales information system that is displayed is the sale of motorcycles with a telephone system to marketing with media information via android.
Analysis of DC MCB Usage Characteristics for AC and DC Load Usage
Authors: Hamid Sarwan , Jamaaluddin Jamaaluddin , Saputra Dwi Hadidjaja Rasjid , Wisaksono Arief 
Published: September 2022

One of the most important and expensive power lines in the distribution method is the low line voltage. In case of overload or short circuit current, it protects the electrical installation. MCB is an important component in electrical installations. The formation of sparks due to a short circuit can eventually cause a fire which has the potential to cause a fire, which is an unwanted MCB nuisance. This MCB can be used as a direct current breaker with a load, either manually or automatically. When the MCB is switched from "ON" to "OFF", the mechanical part in the MCB cuts off the electric current. The manual method involves turning off the toggle switch in front of the MCB (usually blue or black). The finished tool is then tested to see how well components such as AC MCB, DC MCB, Volt meter, LED lamps, Outlets, and lamp fittings perform. The function of the analysis of the characteristics of the use of DC MCBs for the use of DC loads works to compare the use of DC MCBs on AC loads and which ones are the most effective and the circuit is given a load until the MCB trips and amperes and volts are measured in the circuit.
Exactitud del método de Cameriere y su variante la Fórmula Europea para la estimación de la edad en una población peruana subadulta
Authors: Bravo Molina Franz Yosset 
Published: September 2022

Objetivo: Determinar la exactitud del método de Cameriere y su variante la Fórmula Europea en una población peruana subadulta; y determinar una ecuación predictora de la edad cronológica. Materiales y métodos: Estudio descriptivo, observacional, transversal y retrospectivo. Se utilizaron 257 radiografías panorámicas digitales de pacientes en dentición mixta de 5 a 12 años de edad pertenecientes al Centro Odontológico “Dental Científica” de la Universidad Científica del Sur de la ciudad de Lima, Perú. Las variables morfológicas xi, i= 1,…,7, s, N0 y el género de los sujetos, fueron utilizadas como variables predictoras para la estimación de la edad. Para evaluar la exactitud de cada método de estimación se utilizó el error de predicción promedio y para generar la ecuación predictora de la edad cronológica se utilizó la regresión lineal múltiple. Resultados: Se encontró que el error promedio de predicción entre la edad cronológica con respecto a la edad estimada por la fórmula del método de Cameriere y la Fórmula Europea fue 0.73±0.55 años y 0.77±0.57 años respectivamente. Se generó un modelo cuyas variables predictoras de la edad fueron el s y N0, ambas variables fueron estadísticamente significativas y el R2 Ajustado por el número de variables fue 75.96%. Conclusiones: Se determinó que la fórmula del método de Cameriere fue más exacta que la Fórmula Europea, sin embargo, no existió diferencia estadísticamente significativa entre ambas. Adicionalmente se estableció una fórmula de regresión lineal específica para una población peruana de 5 a 12 años con una adecuada capacidad de predicción.
Efectividad de fotopolimerización usando lámparas led: Una revisión de la literatura
Authors: Aquino Valverde Alexandra Jacqueline 
Published: September 2022

Introducción: Las lámparas LED tienen una tecnología nueva de fotocurado las cuales pueden ser monowave o polywave a la cual le permite llegar a más iniciadores como la canforquinona, lucerina TPO y PPD las cuales presentan una gran variedad de ventajas y desventajas. Estas lámparas han evolucionado con el tiempo, al igual que diferentes ergonomías, longevidades, sistemas y estándares de calidad. Objetivo: El objetivo de esta revisión de literatura es actualizar al clínico en el uso adecuado de las diferentes lámparas LED y cómo estas influyen en la eficiencia de la fotopolimerización de la resina. Material y métodos: Se ha realizado una amplia investigación en la literatura existente sobre este tema. Desde el inicio de esta información hasta el 18 de abril de 2022, la búsqueda bibliográfica realizada incluye 86 artículos publicados en la base de datos de Medline a través de PubMed, LILACS, SCIENCE DIRECT y SCIELO, y no existe restricción de idioma. Incluyendo investigación observacional, descriptiva, longitudinal, revisiones sistemáticas, libros y editoriales. Resultados y discusión: Los efectos de la fotopolimerización de las lámparas LED Polywave y Monowave presentan diferencias significativas entre la resistencia a la compresión de la resina fotopolimerizadas, con lámpara LED de onda única y polivalente donde los tipos de luz y lámpara influyen directamente en la resistencia a la compresión de las resinas compuestas. Conclusión: El tipo de luz y lámpara afecta directamente la efectividad de la fotopolimerización de la resina compuesta, por lo que se concluye que las lámparas LED con tecnología de onda única (Monowave) producen una mayor profundidad de fotopolimerización que las de tecnología de onda múltiple (Polywave).
Palabras clave: Polimerización, Lámparas de polimerización dental LED, Resinas dentales, Fotoiniciadores.
Crossdipole Sonic Data Analyzed To Target Stack Pay in the Permian Basin
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 209327, “Analysis of Crossdipole Sonic Data for an Intelligent Targeting of Stack Pay in the Permian Basin,” by Bikash Sinha, Farid Mohamed, and Lili Xu, SPE, Schlumberger, et al. The paper has not been peer reviewed.
The preferred placement of a producer well in unconventional reservoirs is based on available information about the presence of natural fractures and formation stresses. Identifying the depth intervals with natural fractures and the relative magnitudes of the maximum and minimum horizontal stresses enables placement of a producer well that will support effective hydraulic fractures. In the complete paper, the authors apply a work flow to crossdipole sonic data acquired in a vertical pilot well drilled in the Permian Basin.

Introduction
The authors describe processing, analysis, and interpretation of sonic data acquired in a vertical pilot well with the goal of identifying optimal depth intervals and azimuths for drilling a lateral producer well with a potential for enhanced hydrocarbon productivity. The preferred placement of a lateral producer well requires drilling through an oil-rich layer that exhibits higher fracturability.

Theory
Borehole sonic data consist of monopole headwave slownesses and borehole Stoneley dispersions together with dipole headwave slownesses and borehole flexural dispersions. While monopole data provide azimuthally averaged formation properties, crossdipole data probe the formation in two opposite quadrants and discriminate formation properties in the two orthogonal directions in the borehole cross-sectional plane. Compressional and shear headwave slownesses can be transformed into compressional and shear moduli of the formation. Borehole Stoneley and flexural dispersions can be inverted to obtain formation transversely isotropic (TI) constants. One can invert for TI constants when the fast- and slow-dipole flexural dispersions overlay, and a subset of orthorhombic constants when the fast- and slow-dipole dispersions are different. Both the borehole flexural and Stoneley dispersions exhibit frequency-dependent sensitivities to changes in the formation anisotropic constants. It is possible to invert for those formation anisotropic constants that show sufficient sensitivities to such measured flexural dispersions. This section of the complete paper is devoted to inversion of borehole Stoneley and flexural dispersions for formation anisotropic constants and associated equations and discusses determination of Young’s moduli and Poisson’s ratio for a transversely isotropic with vertical axis of symmetry (TIV) formation.
Errors in Initial Pressure Measurement Affect Rate-Transient Analysis
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper URTeC 208321, “Effect of Errors in Initial Pressure Measurement on Rate-Transient Analysis in Unconventional Reservoirs,” by Himanshu S. Jha, SPE, Texas A&M University; Aaditya Khanal, The University of Texas at Tyler; and W. John Lee, SPE, Texas A&M University. The paper has not been peer reviewed.
This paper presents a mathematical analysis of how incorrect estimates of initial reservoir pressure (pi) may affect rate-transient analysis (RTA) in ultralow-permeability reservoirs. Measured values of pi are rarely available, and the value estimated using alternative approaches, such as a diagnostic fracture injection test (DFIT), can be time-consuming and expensive and also may be inaccurate. In the complete paper, the authors examine what can and cannot be achieved with accuracy when reliable estimates of pi are not available.

Introduction
RTA and production forecasting using historical production data require flow-regime identification for model parameter calculation. The task of flow-regime identification is best achieved under constant-rate flowing conditions. However, field conditions and operational changes almost always cause flowing bottomhole pressure (BHP) to change during production. Use of rate-normalized pressure (RNP) can help mitigate the effect of changing BHP under smoothly changing conditions. Calculation of RNP requires an accurate estimate of pi, which often is unavailable.
The authors’ work shows that the slope of a log-log plot of RNP vs. time or material balance time (MBT) is relatively insensitive to the value of pi. However, a Cartesian plot of RNP vs. timen (where n may be 0.5 for transient linear flow or a different value for more general “power-law behavior”) rotates the expected straight line for different values of pi or used in calculation of RNP. Therefore, the task of flow-regime identification can be achieved with reasonable certainty with only an estimate of initial pressure, but analysis with RNP vs. timen Cartesian plots may be unreliable.
Machine-Learning and Physics-Based Models Compared in Downhole Pressure Prediction in Deepwater Reservoirs
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 31758, “Downhole Pressure Prediction for Deepwater Gas Reservoirs Using Physics-Based and Machine-Learning Models,” by Jincong He, SPE, Matthew Avent, and Mathieu Muller, Chevron, et al. The paper has not been peer reviewed. Copyright 2022 Offshore Technology Conference. Reproduced by permission.
Pressure measurements from permanent downhole gauges (PDHGs) during extended shut-ins often are used for model calibration and reserves estimation in deepwater gas reservoirs. A key challenge in practical operation has been the failure of PDHGs within the first few years of operation. To overcome this challenge, modeling solutions have been developed to enable accurate bottomhole well pressures to be calculated. In the complete paper, novel physics-based models and machine-learning (ML) models are presented and compared for estimating PDHG measurement from wellhead measurements.

Introduction
One way to predict PDHG shut-in pressure is with a full-physics wellbore simulator. However, those simulators usually require input parameters such as heat conductivity through the reservoir, itself highly uncertain in the field. In addition, wellbore simulation can be expensive computationally to run. The authors investigate two alternative modeling approaches to predict future PDHG shut-in data based on historical PDHG measurement from the same, or different, wells.
The first approach is a physics-based data-driven (PBDD) method in which the temperature profile along the wellbore is characterized by a piecewise linear model, the cooldown process during shut-in is characterized by a decline-curve model, and the dependency of the cooldown on previous gas production is characterized by a linear model. During training, the parameters in these models are calibrated by historical PDHG shut-in data before gauge failure. Once trained, the model can be used to predict downhole measurement during future extended shut-in events. The second approach is to use ML methods. Using historical data, this approach trains a black-box model or function that directly projects the wellhead measurements and time since shut-in to downhole measurements.
Both approaches are shown to be accurate when calibrated on historical data and used to predict future shut-ins of the same well. However, when they are used to predict shut-in pressure and temperatures of a new well based on other existing wells, the behavior of the ML model can be nonphysical and erratic, while the behavior of the PBDD model is more constrained and interpretable.
Osteosarcoma transcriptome data exploration reveals STC2 as a novel risk indicator in disease progression
Authors: Wang Ziyue , Zeng Zixin , Gao Feng , Gui Ziwei , Du Juan , Shen Ningning , Shang Yangwei , Yang Zhiqing , Shang Lifang , Wei Rong , Ma Wenxia , Wang Chen 
Published: September 2022

Abstract
Background
Osteosarcoma has been the most common primary bone malignant tumor in children and adolescents. Despite the considerable improvement in the understanding of genetic events attributing to the rapid development of molecular pathology, the current information is still lacking considering the comprehensive and highly heterogeneous nature of osteosarcoma. The study is to identify more potential responsible genes during the development of osteosarcoma, thus identifying promising gene indicators and aiding more precise interpretation of the disease.
Methods
Firstly, from GEO database, osteosarcoma transcriptome microarrays were used to screen the abnormally expressed genes (AEGS) in cancer comparing to normal bone samples, followed by GO/KEGG interpretation, risk score assessment and survival analysis of the genes to select a credible key gene. Further, the basic physicochemical properties, predicted cellular location, gene expression in human cancers, association with clinical pathological features and the potential signaling pathways involved in the key gene’s regulation on osteosarcoma development were preliminary explored.
Results
A total of 24430 genes were identified to express abnormally in osteosarcoma versus normal bone samples, and the genes were classified into four groups based on the difference level, further genes interpretation indicated that the high abnormal level (> 8 fold) genes were mainly located extracellular and related to matrix structural constituent regulation. Meanwhile, module function analysis of the 67 high abnormal level (> 8 fold) AEGS revealed a 22-gene containing extracellular matrix regulation associated hub gene cluster. Further survival analysis of the 22 genes revealed that STC2 was an independent prognosis indicator in osteosarcoma. Moreover, after the validation of changed expression of STC2 in cancer vs normal tissues using local hospital osteosarcoma samples by IHC experiment, the gene’s physicochemical property revealed STC2 as a cellular stable and hydrophilic protein, and the gene’s association with osteosarcoma clinical pathological parameters, expression in pan-cancers and the probable biological functions and signaling pathways it involved were explored.
Conclusions
Using multiple bioinformatic analysis and local hospital samples validation, we revealed the aberrant gain of expression of STC2 in osteosarcoma, which associated statistical significantly with patients survival, and the gene’s clinical features and potential biological functions were also explored. Although the results shall provide inspiring insights into further understanding of the disease, further experiments and detailed rigorous clinical trials are needed to reveal its potential drug-target role in clinical medical use.