bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análisis comparado de la legislación
Authors: Orellanos-Chaparro Edgar Stefan , Quiroz-Rubiano Mónica María , Martínez-Rincón Julián Andrés , Díaz-Vásquez Rafael Francisco 
Published: April 2024

Durante este breve recorrido se llevará al lector al conocimiento de los instrumentos jurídicos más relevantes en materia de teletrabajo y trabajo en casa en los países de América Latina, con el fin de sentar las bases del conocimiento en materia legislativa y avances normativos dentro del territorio colombiano. El objetivo es conocer en que estadio del avance legislativo contemporáneo se encuentra país, cómo ha sido su desarrollo y qué proyección se tiene frente al tema, para lo cual se utilizó una exploración comparativa de legislación latinoamericana y su incidencia en el medio nacional, no sólo a través del avance histórico o de las líneas de derecho comparado, sino también de la reflexión crítica sobre la exposición de motivos para la generación de esos estudios de contenido legal. Así, se podrá establecer cuáles de esos antecedentes llevaron a la concreción de políticas nacionales regulatorias del teletrabajo y el trabajo en casa, no solo al cariz del estado actual de cosas, sino también en términos extra-pandemia.
En conclusión, se espera que el lector logre una aproximación al escenario legal del teletrabajo y el trabajo en casa, mediante la adquisición de conocimiento jurídico en la materia, diseñado especialmente para no abogados, a través de una exposición sencilla, clara y razonada de los principales conceptos jurídicos necesarios para comprender el devenir de tan apasionante tema de estudio.
Vrednotenje trajnostne zasnove Dvojezične strategije zaščite vodnih virov
Authors: Vovk Korže Ana 
Published: April 2024

Dokument s polnim naslovom »Dvojezična strategija zaščite vodnih virov s konceptom trajnostnega razvoja čezmejnega projektnega območja« je nastal v okviru projekta Trajnostno upravljanje z vodnimi viri na čezmejnem območju med Slovenijo in Hrvaško v letih 2014 in 2015. Dvojezična strategija je osnova za izvajanje projektnih aktivnosti v regiji, saj vključuje rešitve za odvajanje in čiščenje odpadne vode ter sisteme za zaščito površinske in podtalne vode. Ker dosedanje izkušnje kažejo, da so strategije napisane sektorsko in da kljub poudarjanju trajnosti v resnici niso trajnostno zasnovane, smo z metodo štirih kapitalov (M4K), ki se uporablja za vrednotenje trajnosti, opravili analiziral Dvojezične strategije z vidika trajnostne zasnove. Merili smo povezanost predlaganih ukrepov v Dvojezični strategiji z štirimi kapitali, ki veljajo za steber trajnostnega razvoja (ekonomski, socialni, okoljski in človeški kapital). Rezultat trajnostne zasnove Dvojezične strategije je pomemben za načrtovalce projektov v regiji ter lokalno skupnost, saj pokaže povezljivost med različnimi področji s ciljem, da se tovrstne strategije izogibajo ozko sektorskim pristopov, ki nimajo pozitivnega vpliva na življenje ljudi.
Community development plan: Rural livestock, agriculture and livelihood in Indonesia
Authors: Guntoro Budi 
Published: April 2024

This study aimed to determine the bio-physical and socio-economic characteristics of the community, to determine the problems encountered by the community with emphasis on livestock, agriculture and livelihood and to recommend appropriate plans of action in addressing these problems. Field observation and interviews with key informants were conducted. The data gathered served as basis in the preparation of a Community Develop-ment Plan for Lopati Village, Yogyakarta Province, Indonesia, which was the ultimate goal of the activity. In addition, this data provided guidelines in plan implementation as well as serving as a basis for determining the different changes or accomplishments to be made. Eight key informants were involved in the interview. The results showed that there are many problems faced by the community, including low income, lack of capital and credit sources, low prices of products and business management. Several plans of action that were made and proposed included strengthening of the existing farmers’ multipurpose cooperative, conversion of the farmers and women’s association into a cooperative, introduction and implementation of swine dispersal project, intensification of cattle, goat and duck raising, home industries, introduction of purely self-help projects, training workshops for farmers, youth and women, competitive farm gate prices for the community’s products, payment of previous loans, encouragement/reactivation of other banks to participate in a credit program, and general assembly meeting/monitoring and evaluation of projects/program.
Effects of Caffeine on Breastfeeding Mothers and Infants: A Scoping Review
Authors: Hirani Shela Akbar Ali , Souter Allison Ruth 
Published: April 2024

Objectives:Breastfeeding mothers often consume caffeine in varied quantities. The common dietary sources of caffeine include tea, coffee, chocolate, energy drinks, and sodas. Over time, caffeine has become a widely accepted substance to use throughout pregnancy and lactation. As the range of volumes of caffeine is variable in various beverages, it is essential to explore the positive and negative effects of caffeine on breastfeeding mothers and their babies.Methods:A scoping review of evidence-based literature was undertaken to examine the effects of caffeine on breastfeeding mothers and their babies. We searched major databases using the key terms “caffeine,” “breast milk,” “newborns,” “infants,” “mothers,” and “breastfeeding.” Altogether, 21 articles were shortlisted for this review based on their relevance to the topic.Results:Caffeine travels in small amounts from the mother to the infant, and the infant is typically unaffected in amounts less than 300 mg/d. Caffeine is reported to reduce postnatal depression and fatigue among breastfeeding mothers and has been found useful in treating acute morbidities in neonates like apnea of prematurity, patent ductus arteriosus, and bronchopulmonary dysplasia. A high intake of caffeine (450 mg or more of caffeine per day) in a short time is reported to have detrimental biochemical and neurodevelopmental effects in breastfed infants, contribute to anemia, and may result in low iron levels in breast milk. Controversy exists surrounding the effects of caffeine on breastfeeding duration of mothers. Recommendations include education and counseling for breastfeeding mothers on the dangers of caffeine consumption, avoidance of frequent and high intake of caffeine during lactation, and monitoring caffeine levels in various beverages/products.Conclusion:The use of caffeine has shown both positive and negative effects on breastfeeding mothers and infants. As a high intake of caffeine (450 mg or more of caffeine per day) is reported to have negative effects, breastfeeding mothers and infants must be protected from the detrimental effects of caffeine through increased education, counseling, and psychosocial support. Clinical practice guidelines are needed on the safe consumption of caffeine by breastfeeding mothers. Future research must examine the effects of varied levels of caffeine found in different products on breast milk composition, duration, health status, and breastfeeding outcomes of term and preterm newborns.
Rapid diagenesis and microbial biosignature degradation in spring carbonates from Crystal Geyser, Utah, U.S.A.
Authors: Lima-Zaloumis Jon , Farmer Jack D. , Trembath-Reichert Elizabeth 
Published: April 2024

ABSTRACT
Carbonate rocks retain a well preserved record of biologically associated structures at the outcrop to millimeter scale; however, microscale features such as cellular fossils are rarely represented. The lack of microscale textural information in ancient carbonates is commonly attributed to processes relating to carbonate diagenesis. However, there are relatively few examples of precisely how and when these destructive processes occur, particularly in active precipitating systems. To better understand the taphonomy of carbonate precipitating environments through early diagenesis, we investigated Crystal Geyser, an active cold-water carbonate spring (∼ 18°C) located in Grand County, Utah. Here we show that rapid precipitation is effective at initially capturing cell-like structures and forming associated microscale laminated stromatolites; however, these morphologies degrade immediately after their formation. We attribute destructive diagenetic effects to the recrystallization of metastable aragonite into the more stable polymorph calcite (i.e., inversion) and the associated textural coarsening that homogenizes and erases the original fabric (i.e., aggrading neomorphism). Despite the loss of microscale morphological information, chemical biosignatures in the form of macromolecular organics remain dispersed throughout the disrupted carbonate textures. These observations provide an example of penecontemporaneous diagenesis that obliterates primary microscale textures in carbonate rocks. Similar mechanisms and their rapid timing, as shown here, likely contributes to the observed lack of microscale morphological biosignatures in many ancient carbonates. This work further highlights that in such systems, permineralization by a more stable crystalline phase, such as chert, must occur rapidly after deposition to effectively retain these signatures over geological timescales.
Machine Learning Models to Predict Total Skin Factor in Perforated Wells
Authors: Thabet S. , Elhadidy A. , Elshielh M. , Taman A. , Helmy A. , Elnaggar H. , Yehia T. 
Published: April 2024

Abstract
An accurate total skin factor prediction for an oil well is critical for the evaluation of the inflow performance relationship, and the optimization of the appropriate stimulation treatment such as acidizing and hydraulic fracturing. Performing well testing regularly is not economically feasible, and the equations used for total skin damage may not be accurate. In this work, the goal is to build machine learning (ML) models that can predict the total skin factor in perforated wells using accessible field data. Nine distinct ML algorithms such as Gradient Boosting (GB), Adaptive Boosting (AdaBoost), Random Forest (RF), Support Vector Machines (SVMs), Decision Trees (DT), K-Nearest Neighbor (KNN), Linear Regression (LR), Stochastic Gradient Descent (SGD), and Artificial Neural Network (ANN) are meticulously developed and fine-tuned using a substantial dataset derived from 1,088 wells. The dataset encompasses 19,040 data points, thoughtfully split into two subsets: 70% (13,328 data points) for training the algorithms, and 30% (5,712 data points) for testing their predictions. The parameters used are mostly gathered during well completion and conventional well testing operations, including liquid flow rate, water cut, gas oil ratio, bottomhole flowing pressure, reservoir pressure, reservoir temperature, reservoir permeability, reservoir thickness, perforations diameter, perforations density, perforations penetration depth, well deviation, and penetrated portion of the net pay thickness. In this study, the total skin factor acquired from conventional well test analysis serves as the model's output. K-fold cross-validation and repeated random sampling validation techniques are used to assess the performance of the models against the total skin obtained from the conventional well test analysis. The K-fold cross-validation outcomes of the top-performing ML models, specifically GB, AdaBoost, RF, DT, and KNN, reveal remarkably low mean absolute percentage error values reported as 3.2%, 3.2%, 2.9%, 3.3%, and 3.8%, respectively. Additionally, the correlation coefficients (R2) for these models are notably high, with values of 0.972, 0.968, 0.975, 0.964, and 0.956, respectively. In conclusion, ML models demonstrated their ability to predict total skin factor for different reservoir fluid properties, well geometries, and completion configurations. ML models offer a more efficient, quick, and cost-effective alternative to the conventional well-testing analysis.
Improving the Performance of Smart Waterflooding Through Surfactant-Assisted Process for a Carbonate Oil Reservoir
Authors: Belhaj Ahmed Fatih , Fakir Shasanowar Hussain , Javadi Amir Hossein , Sarma Hemanta Kumar 
Published: April 2024

Abstract
Enhanced oil recovery (EOR) techniques utilizing low-salinity water (LSW) are advancing owing to their favorable technical and economic viability. LSW flooding entails the injection of a modified-composition brine into oil reservoirs with a lower concentration of the potential determining ions (PDIs), specifically Ca2+, Mg2+, and SO42− ions compared to high-salinity connate water or injected seawater. Achieving an optimum concentration of the PDIs in the injected water provides further potential for enhancing oil recovery, which is denoted as smart waterflooding. Surfactants can be used to reinforce the smart waterflooding performance by reducing oil-water interfacial tension (IFT) and enhancing the rock surface wettability alteration. In this research, a comprehensive laboratory study is conducted to investigate the optimum surfactant-assisted smart water formulation for a carbonate rock. The initial step of this study involves the evaluation of fluid-fluid interactions using IFT via spinning drop tensiometer. The subsequent step involves studying the rock-fluid interactions using zeta potential experiments, wettability alteration in a specifically-designed HPHT imbibition cell and reservoir-condition HPHT coreflooding tests in composite cores. The results of IFT experiments showed more effective oil-water interactions of the smart brine when the sulfate concentration increased. The zeta potential experiments using the streaming potential method showed a clear trend of yielding more negative values for the smart water solutions when the surfactant was added to the system. The rock surface charge was found sensitive to the sulfate concentration and by adsorption of this ion, the positive charge of the rock surface is reduced. The presence of the surfactant in smart water system has improved the wettability alteration mechanism and reduced the contact angle by 12° which indicated the further alteration of wettability of the carbonate rock from oil-wet to water-wet. The outcomes of the coreflooding revealed an additional oil recovery of 7.72% achieved via the addition of the A-1 surfactant to smart waterflooding. The findings of this study are expected to enhance the understanding of the application of smart waterflooding in carbonate reservoirs and the future perspective of hybrid application of water-based EOR processes.
What will it take to get to Net-Zero Emissions in California?
Authors: Neutel Joshua , Berson Andrew , Saltzer Sarah , Orr Franklin , Brandt Adam , Benson Sally 
Published: April 2024

Abstract
In this work, a new modeling tool called DECAL is developed and used to evaluate what it will take to reach California's new climate goal of net-zero emissions by 2045. DECAL is a scenario-based model that projects emissions, society-wide costs, and resource consumption in response to user-defined inputs. DECAL was built with the requisite level of detail needed to model true net-zero pathways. DECAL was first used to replicate the California Air Resources Board's (CARB's) 2022 Scoping Plan scenarios, both to demonstrate efficacy of the new tool, and so that additional net-zero pathways could be compared to CARB's plan. We find that the state can get nearly halfway to its net-zero target with technologies that are already commercially available, but the scale of infrastructure buildout and rate of sales turnover that will be needed still presents an enormous challenge. Furthermore, several technologies that are currently at pilot or research scale will need to be developed and widely deployed, including zero-emission heavy-duty vehicles, carbon capture & sequestration for industrial applications, clean industrial heating, low global warming potential refrigerants, and direct air capture. This work also emphasizes other practical considerations, such as lag-time for turning over the existing stock of vehicles and building appliances, as well as bioenergy feedstock constraints. The analyses demonstrate the unforgiving nature of reaching net-zero emissions, which will require all emission sources in the economy to be accounted for, including hard-to-abate sectors such as Industry, Agriculture, and Non-Energy. For these reasons, it is likely the state will need significant carbon dioxide removal (e.g., direct air capture, bioenergy with carbon capture) to meet its net-zero goal by 2045.
Descriptive Statistical Analysis of Experimental Data for Wettability Alteration with Smart Water Flooding in Carbonate Reservoirs
Authors: Buriro Muhammad Ali , Wei Mingzhen , Bai Baojun , Yao Ya 
Published: April 2024

Abstract
Smart water flooding is a promising eco-friendly method for enhancing oil recovery in carbonate reservoirs. The optimal salinity and ionic composition of the injected water play a critical role in the success of this method. This study advances the field by employing machine learning and data analytics to streamline the determination of these critical parameters, which are traditionally reliant on time-intensive laboratory work. The primary objectives are to utilize data analytics to examine how smart water flooding influences wettability modification, identify key parameter ranges that notably alter the contact angle, and formulate guidelines and screening criteria for successful lab design. This design aims to shift rock conditions from oil-wet to water-wet by choosing the optimal salinity and ionic concentrations for smart water flooding. Analyzing a comprehensive dataset of 484 data points from 48 studies, primarily focused on Calcium Carbonate (72.7%), we assessed properties of rocks and oils, injection brine characteristics, and contact angles before and after smart water injection from 2010 to 2023. Our findings highlight a strong correlation between the initial contact angle and the change post-smart water flooding, indicating the critical role of the rock's initial wettability. We identified that high concentrations of sodium, calcium, and chloride ions adversely affect wettability alteration, while sulfate ions contribute positively. Furthermore, outliers were removed, and after comprehensive analysis, application guidelines were developed for each significant parameter for calcium carbonate, limestone, and dolomite rock. Our research further reveals that calcium carbonate exhibits intermediate initial wettability, whereas dolomite and limestone show more muscular initial water-wet conditions. Smart water ionic composition analysis revealed distinct responses in calcium carbonate compared to dolomite and limestone, underlining the importance of tailoring smart water composition to specific rock types. The analysis highlights that oils with lower API gravity, acid numbers, and viscosities exhibit more excellent responsiveness in altering wettability. Overall, this study significantly advances smart water flooding in carbonate reservoirs, offering a framework for optimizing EOR techniques by salinity and ionic composition. Additionally, it establishes a screening criterion for optimal salinity and ionic ranges, potentially reducing time-consuming experiments.
Research on Performance Evaluation and Mechanism Analysis of a Novel Nano Oil-Displacement System
Authors: Zhang Jian , Sun Zhe , Wang Xiujun , Cao Jie , Vasilevskaya Valentina V. , Ushakova Alexandra 
Published: April 2024

Abstract
The heterogeneity of reservoirs in Offshore Oilfields is severe. There is a large amount of remaining oil exists in interlayer, intra layer, or microscopic pores after water flooding, which is difficult to be displaced efficiently. Therefore, a novel dispersion system has been developed in recent years. Due to its excellent performance and advanced mechanism, it can achieve the goal of deep fluid diversion and expanding swept volume.
The dispersion system consists of particles and its carrier fluid. After coming into porous media, it shows the motion feature of "temporary plugging and good migration". In this paper, the preparation method, reservoir adaptability evaluation, and plugging characteristics of dispersion system is firstly studied. Then, by adopting the microfluidic technology, its oil displacement mechanism is further explored. On this basis, oil displacement evaluation is carried out through the CT technology.
Results show that, by changing the type and amount of modifiers, spherical silicon-based nanomaterials ANS and flake silicon-based nanomaterials ALP were synthesized. The two nanofluids show a good ability to change the wettability of cores and strip oil droplets. On the other hand, through the migration performance test, ANS and ALP have temporary plugging characteristics and good migration performance, which can realize deep fluid diversion and expand swept volume. 3D macro physical simulation experiment shows that, dispersion system can achieve the goal of enhance oil recovery.
In this paper, through the regulation of nanofluid conformation, the multiple effects of oil film stripping, emulsification, dispersion, temporary plugging, and oil displacement has been developed, which solves the bottleneck problem of potential application of new oil displacement agents. This lays a theoretical foundation for nanofluids flooding technology.
Investigation on the Impact of Cushion Gases in Saline Aquifer: Implication for Underground H2 Storage
Authors: AL homoud Rana , Machado Marcos Vitor Barbosa , Daigle Hugh , Sepehrnoori Kamy , Ates Harun 
Published: April 2024

Abstract
The goal of this research is to investigate the use of different gases to serve as cushion gases to minimize H2 loss in underground H2 storage (UHS). A detailed study is performed using a compositional numerical reservoir simulator. We constructed a base model that uses H2 as the cushion gas. Next, we developed three different scenarios where CH4, N2, and CO2 are used as the cushion gas, and we analyzed the impact of each cushion gas on the overall performance of the UHS. We developed the fluid model to account for the density and viscosity of a mixture of gases. Our results indicated that CH4 emerges as the optimal choice, followed by N2, and subsequently CO2. However, maximizing the H2 recovery from 63% to 77% was at the cost of lowering H2 purity. Yet, using an alternative cushion gas played a vital role in minimizing the spreading of hydrogen, and consequently preventing the H2 loss into the formation.