bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Advances, Future Directions and Clinical Outcomes of Hepatectomy in Hepatocellular Carcinoma
Authors: Muhammad Tauqeer , Chattha Hashim Nazir , Chattha Ahmad Nazir , Jiang Li , Hong Zhu 
Published: October 2024

Background: Hepatocellular carcinoma (HCC) represents the predominant and most fatal malignancy globally. The primary therapeutic approach for HCC is Hepatectomy, which presents a potential for curative outcomes. This analysis aims to offer an exhaustive examination of the clinical repercussions linked to liver resection or Hepatectomy in HCC, underscore recent advancements in surgical methodologies, and deliberate on future pathways to enhance treatment efficacy in this domain. Methods: A thorough exploration of the literature was carried out across prominent databases, including Google Scholar, PubMed, ScienceDirect, and Cochrane Library. Research articles were chosen based on their pertinence to the outcomes of Hepatectomy in HCC, advancements in surgical techniques, and forthcoming therapeutic schemes to scrutinize the short- and long-term clinical consequences and the variables influencing these outcomes. Results: Hepatectomy for HCC manifests notable diversity in clinical outcomes, impacted by the nature of the tumor, characteristics of the patient cohort, and proficiency of the surgical team. Short-term results, like perioperative morbidity and mortality rates, have demonstrated enhancements in tandem with refinements in preoperative evaluations and intraoperative management. The duration of outcomes, encompassing overall survival and disease-free survival, displayed significant associations with extended resections, tumor characteristics, and postoperative assessments. Recent progressions in Hepatectomy have played a role in diminishing perioperative complications and expediting the recovery process. Furthermore, the amalgamation of adjuvant and neoadjuvant therapies, alongside the emergence of pharmaceutical modalities, can elevate survival rates and enhance the quality of life for individuals with HCC. Conclusion: Hepatectomy emerges as a pivotal intervention for HCC, yielding progressively superior outcomes owing to technological advancements and enhanced perioperative care. Prospective investigations will refine surgical techniques, optimize adjuvant therapies, and formulate robust predictive frameworks for diverse therapeutic modalities. This comprehensive assessment accentuates the significance of sustained innovation and interdisciplinary cooperation to elevate the standard of care for HCC patients. Moreover, continuous investigation into adjuvant and neoadjuvant treatments, such as immunotherapy and targeted therapies, is imperative for enhancing long-term prognoses.
Efecto sinérgico de tiosulfato de sodio y glicina en la lixiviación de plata, utilizando peróxido de hidrógeno como oxidante y etilenglicol, en una muestra polimetálica de Zimapán: influencia de la temperatura
Authors: Huazo Barrios Juan Miguel , Cisneros Flores Gabriel , Juárez Tapia Julio César , Teja Ruíz Aislinn Michelle , Hernández Ortiz Oscar Javier , Legorreta García Felipe 
Published: October 2024

La extracción de metales preciosos como la plata (Ag) de concentrados y otras fuentes secundarias ha alcanzado con el uso de sistemas ecoamigables como el de tiosulfato - glicina, una alternativa viable a la lixiviación con cianuro. Este estudio evalúa la interacción entre el tiosulfato de sodio y la glicina a través de un análisis espectroscópico de Uv - vis, mostrando un cambio de absorbancia en una proporción 1:0.5. El concentrado de cobre proveniente del distrito minero de Zimapán fue analizado química y mineralógicamente, confirmando su composición polimetálica. Experimentos de lixiviación de Ag a distintas temperaturas demostraron que el sistema Na2S2O3 – gly – H2O2 – EG logró disolver el 80% de Ag en 90 minutos a 25 °C. La curva de disolución indica que la interacción entre tiosulfato y glicina cataliza el proceso de lixiviación, posiblemente potenciada por la presencia de iones metálicos en la muestra, que podrían actuar como catalizadores adicionales
Síntesis de Catalizadores de Pd/Titanato de Sodio para la HDO del Fenol
Authors: Angeles Chávez Carlos , Toledo Antonio José Antonio , Jiménez Rodríguez Juan Carlos , Cervantes Arista Jaime Ignacio , Chavarría Escamilla Hervey Gamaliel , Cortés-Jácome María Antonia 
Published: October 2024

La modificación del equilibrio ecológico causado por el cambio climático producto de la emisión de gases de efecto invernadero ha deteriorado sustancialmente la calidad de vida en nuestro planeta. Detenerlo o revertirlo, obliga a buscar fuentes alternas de combustibles líquidos eco-amigables. La pirolisis de la biomasa lignocelulósica es una alternativa, sin embargo, el bioaceite generado contiene una gran cantidad de heteroátomos de oxígeno que baja su poder calorífico. Por lo tanto, diseñar catalizadores altamente eficientes para la hidrodesoxigenacion (HDO) de los compuestos oxigenados es de vital importancia. Aquí reportamos la síntesis de catalizadores para la HDO del fenol dispersando nanopartículas de Pd en nanoestructuras de titanato de sodio y por heteroesamblado de Pd con película de nitruros de carbono a partir de la impregnación con urea. Este catalizador reportó alta eficiencia catalítica transformando el 100% de fenol en ciclohexanona y benceno a diferencia de los otros catalizadores preparados de forma convencional donde solo el 70% del fenol se transformó en ciclohexanol, ciclohexeno y hexano.
Caracterización ambiental y edafológica de la Unidad Profesional Multidisciplinaria “Miguel Hidalgo y Costilla”
Authors: Escudero Villegas Juan Francisco , Hernández Vallecillo Gabriel Alejandro , Barragán Maravilla Sandra Monserrat , Sánchez Guzmán Patricio , Ayala Niño Fernando , Fabila Bustos Diego Adrián , Hernández Chávez Macaria 
Published: October 2024

El presente artículo tiene como finalidad dar a conocer el proceso de obtención de un monolito de suelo implementando una metodología tradicional basada en el trabajo de Van Baren, J.H.V. & W. Bomer (1979), colectado dentro de la Unidad Profesional Multidisciplinaria “Miguel Hidalgo y Costilla”, ubicada al noroeste de la ciudad de Pachuca de Soto, Hidalgo. De la misma manera, pretende demostrar la importancia que tiene este tipo de práctica al realizar evaluaciones en la calidad del suelo y poder conocer su capacidad para sostener la vida vegetal y animal.
El monolito recolectado será procesado para su posterior incorporación al Museo Nacional de Suelos (MNS), localizado en el Colegio de Postgraduados (Campus Montecillo), el cual contará con una breve descripción de sus características morfológicas, así como aspectos generales, desde la ubicación de recolección hasta sus características físicas, químicas y de aprovechamiento. Asimismo, el siguiente articulo pretende servir de apoyo en la caracterización ambiental y edafológica del sitio del trabajo.
Gambling Industry Strategies to Influence the Reform of State Online Monopolies
Authors: Sama Thomas Babila , Hiilamo Heikki 
Published: October 2024

The aim of this qualitative study was to investigate the strategies used by the gambling industry to influence the reforming of the state online monopoly into a licensing system in Sweden in 2019, and to weaken state online monopoly in Finland. Methodologically, this study used primary data from 9 expert interviews in both countries and secondary data from prior literature, which were analyzed using thematic content analysis. The results identified five main political strategies used by the gambling industry: (1) Information, through lobbying politicians; (2) Constituency Building, through forming an alliance with interest groups; (3) Policy Substitution, through promoting alternative policies and self-regulation; (4) Legal Infringements; and (5) Regulatory Redundancy. The study concluded that the involvement of the gambling industry in policy-making influenced the change of the state online monopoly into a licensing system in Sweden in 2019 and is weakening the state online monopoly in Finland.
Design and Construct of Magnetic Induction and Force Practicum Tools to Improve Science Process Skills
Authors: Basir Muhammad , Setiawan Andhy , Chandra Didi Teguh 
Published: October 2024

The purpose of this study was to design and construct magnetic induction and force practicum tools (AlPrIGMa) to improve science process skills. This research belongs to Research and Development (R&D) research using the Hannafin & Peck development model which consists of three main stages, namely need assessment, design, as well as development and implementation. The research instruments used in this research include expert validation sheets, student response sheets, science process skills observation sheets, and science process skills test questions. The results of the assessment undertaken by 3 experts showed a percentage of tool feasibility of 89.3% with a very feasible category. In addition, the response from 10 students after testing the tools obtained an average percentage of 83% in the very good category. The results of the application of the tools showed that there was an increase in each aspect of science process skills with an average N-gain score of 0.71 in the high category. Based on the effectiveness test, the independent t result is 0.009 < alpha value (0.05), which shows that AlPrIGMa is proven effective in improving science process skills.
An Efficient Algorithm for Automated Skin Lesion Detection: A Non-Machine Learning Approach
Authors: Lateef Albukhnefis Adil 
Published: October 2024

Skin lesion detection is a very important task in medical applications such as disease diagnostic and cancer detection. This paper suggests an efficient algorithm for skin lesion detection relying on advanced image processing techniques without using machine learning or deep learning algorithms. A set of algorithms is proposed to enhance traditional image processing methods to scrutinize dermatological images, concentrating on melanoma detection. The proposed method combines color space transformation, contrast enhancement, active contour segmentation. ABCD criteria (Asymmetry, Border irregularity, Color variegation, and Diameter) is used in feature extraction. The approach is evaluated on the ISIC (International Skin Image Collaboration) 2020 dataset, accomplishing an accuracy of 84% in differentiating between malignant and benign skin lesions. The results indicate the potential of non-machine learning techniques in dermatological image analysis, providing computationally efficient and interpretable alternative to data-intensive deep learning algorithms.
End-to-End Resource Allocation Management Model in Next-Generation Network: Survey
Authors: Hamza Abdulkadhim Azhar , Saeed Alfoudi Ali , Hussean Maghool Firas 
Published: October 2024

Network communication has grown rapidly with massive demands of services. Moreover, resource allocation in networking is a fundamental and crucial issue that cannot ensure the network's stability and efficiency with the myriad requirements of different services. Various vertical businesses may seek varied network services, particularly in the Fifth-Generation networks and Beyond (5G+). The pros of Fifth-Generation communication networks are to outperform 4G in performance by having higher bandwidth, minimum latency, more capacity, and QoS (Quality of Service). Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two technologies that are combined in the next generation cellular network to provide improved network management. The primary idea behind resource allocation (RA) in the next generation network is the concept of network slicing where the network resources are virtually partitioning into many separate networks. Each separated network must satisfy the unique needs of the required service to achieve the required QoS. In this survey, we focus on resource management issues related to network slicing and tackling the biggest obstacles in this field while offering a thorough and up-to-date overview of this field. Thus, thorough analysis of the allocation of resources on the access side and core side of the network communication was sought. Also, demonstrates how revolutionary techniques that are used to support the management of sliced networks which are based on Machine Learning (ML) and Artificial Intelligence (AI). Importantly, use appropriate ML techniques such as deep learning for predicting the network condition and Reinforcement learning to learn optimal allocation policy without depending on prior knowledge and other techniques such as classification and clustering to aggregate the similar needs of users into separate slices. This could help to enhance resource utilization by allocating a sufficient amount of resource as needed based on ML algorithms and optimal utilization of resources and reducing operational costs by real-time adjustment of it based on user demands and network conditions
MORFOMETRIK LAMUN DI ZONA INTERTIDAL PERAIRAN PANTAI DESA ADMINISTRATIF MALAKU KECAMATAN SERAM UTARA KABUPATEN MALUKU TENGAH
Authors: Elly Sovian Sesca , Latumainasse Anisa , Rumengan Yuliana , Simal Rufiati 
Published: October 2024

Background: Seagrass is an angiosperm flowering plant that can grow well in coastal environments. Seagrass is a one seed plant that has roots, stems, rhizomes, leaves, flowers, fruit and seeds. Differences in substrate type, environmental conditions and nutrient content can influece the existence of seagrass species and their morphometric shapes.This research aims to determine the morphometric of seagrass in the intertidal zone of coastal waters of Malaku Administrative Village, North Seram Sub-district
Methods: Sampling used a roaming survey method in the intertidal zone of coastal waters of Malaku Administrative Village. The research data were analyzed descriptively based on the results of species identification, observations and measurements of the segrass morphological structure.
Results : The type of seagrass found in the intertidal zone of the coastal waters of the Malaku Administrative village is Cymodocea serulata, Cymodocea rotundata, Halophila ovalis, Halophila minor, Halodule pinifolia, Halodule uninervis, Thalassia hemprichii, and Syringodium isoetifolium. Morphometric forms of seagrass include : Root length ±3cm-16,5cm. Rhizome distance ±1cm–4,5cm. leaf blade length ± 2,4cm-15cm. The shape of the leaf blade is flat, oval, cylindrical, serrated at the tip of the leaf and small in length. Leaf width ±0,2cm-1cm, seagrass stand heigth ± 3-19,3cm.
Conclusion: From the research results obtained, it can be concluded that the intertidal zone of the coastal wters of the malaku administrative village are 8 (eigth) types of seagrass and have morphometric structure that vary in size.
KAJIAN PERILAKU MASYARAKAT PESISIR YANG MENGAKIBATKAN KERUSAKAN LINGKUNGAN SEKITAR EKOSISTEM MANGROVE DI PANTAI HAMADI KOTA JAYAPURA
Authors: Tuhumena Lolita Constantia , Umbekna Sara , Rumahorbo Basa T , Paranoan Nicea Roona , Mandey Vera K , Hehanussa Kedswin G 
Published: October 2024

Background : Environmental damage around the Hamadi coastal mangrove ecosystem, South Jayapura District, Jayapura City, which is caused by many human behavioral factors on the coast, one of which is due to tourism activities that throw away garbage so that it becomes dirty and the natural beauty is damaged. he waste has not been fully addressed effectively if the management is not carried out properly, which then becomes a serious threat to the sustainability of the mangrove ecosystem area near Hamadi Beach which is used as a tourist spot. Therefore, it is necessary to conduct a study of the behavior of the community living around the area and utilizing the area.
Method: The researcher used 30 respondents as samples and conducted in June to August 2024 on Hamadi Beach, South Jayapura District, Jayapura City using the data usage technique in this study is Simple Random Sampling, which is carried out randomly from members of the population without considering the level of the population. The data that has been obtained is analyzed using the Likert Scale.
Results: Respondents were dominated by men, productive age 36-45 years old, predominantly high school education, fishermen, who had an income Rp 1.000.000 -Rp2.000.000. Socio-economic characteristics describe respondents who live, sell and travel around the area. The characteristics of the respondents were seen from the community's perception of the knowledge of the function of the mangrove ecosystem (3,39) including the category strongly agree, Public Perception of Environmental Conditions for the Growth of Mangrove Ecosystems (3,5) Including the category of strongly agreeing, public perception of the utilization of mangrove ecosystems (3,14) including the category of agree.
Conclusion: The development of science about public perception that results in environmental damage to the mangrove ecosystem on Hamadi beach needs to be known in early countermeasures.
Deteksi Gen SLC30A8 pada Sampel Darah Penderita Diabetes Melitus Tipe 2 Dengan Metode Polymerase Chain Reaction
Authors: Auliantika Dinda Helsa , Wahyudi Didik 
Published: October 2024

Background: The SLC30A8 gene is a zinc efflux transporter associated with insulin secretion expressed by the pancreas. The SLC30A8 gene causes abnormalities in insulin synthesis, maturation & secretion as well as abnormalities in the body's effectiveness in responding to glucose metabolism. Polymerase Chain Reaction (PCR) is a DNA amplification method that can be used to detect the presence of the SLC30A8 gene in type 2 diabetes mellitus patients.
Methods: This study used a descriptive research method conducted at the Molecular Biology Laboratory of Sekolah Tinggi Ilmu Kesehatan Nasional. The sampling technique in this study used a total sampling technique on 25 type 2 diabetes mellitus patients who were members of the Prolanis Diabetes Mellitus Puskesmas Bulu Sukoharjo, Central Java. The detection of the SLC30A8 gene went through several stages, namely DNA isolation, qualitative testing of DNA isolates, quantitative testing of DNA isolates and PCR
Results: The results showed the presence of the SLC30A8 gene in all blood samples from type 2 diabetes mellitus patients using the PCR method. The primer used with forward primer 5'-GGACGAAAGAGTTCCCATAGCG-3' and reverse primer 5'- ATAGCAGCATGTTTTGAAGGTGGC-3' attaches specifically to chromosome 8 with a product length of 429 bp.
Conclusion: All blood samples of type 2 diabetes mellitus patients detected the SLC30A8 gene
Characterization of Build Parameters and Microstructure in Low Heat Input Wire-Arc Additive Manufacturing of Ni-based Superalloy Haynes 282
Authors: Adam Benjamin , Turpin Robert , Tewksbury Graham , Feng Rui , Sudbrack Chantal , Pohl Mathias , Jarvis Karl , Crandall Dustin 
Published: October 2024

Abstract
Ni-based superalloy Haynes 282 is a prime candidate for advanced power generation systems due to its superior fabricability, weldability, and high-temperature performance. Additive manufacturing offers potential cost and time savings for gas turbine components. Wire-arc direct energy deposition can create large components but often requires post-processing treatments, such as hot isostatic pressing (HIP), to address porosity. This study explores a low heat-input, high deposition rate GMAW process to achieve fully dense Haynes 282 without HIP. Twenty-one blocks were deposited, varying travel and wire feed speeds. Initial analysis (visual inspection, microstructural examination, and CT) revealed the impact of build parameters on internal porosity and defects. Scanning electron microscopy provided insights into structural heterogeneity and microstructural properties.
Development and Commercialization of Adaptive Feedback Welding Technology for Fabrication and Repair Applications
Authors: Belhout Shems-Eddine , Tatman Jon , Barborak Darren , Hargadine Mitch , von Querfurth Benedikt , Knaak Christian , Mann Stefan , Bialach Janusz , Clemence Dana , Wright Michael 
Published: October 2024

Abstract
There is a growing need to automate the gas tungsten arc welding process for fabrication and repair of nuclear components due to an increasing shortage of experienced welders. Therefore, a collaborative effort has been performed in this study to develop a fully autonomous gas tungsten arc welding system with adaptive capabilities. The system employs the application of two neural networks that have been presented in. The first utilizes a vision based convolutional neural network to perform real time control of the filler wire entry position into the weld pool. The second predicts optimal weld parameters and torch positioning for each weld pass deposited within a multi-pass groove. A commercialization path for the technology is in-progress, with the artificial intelligent algorithms currently being incorporated and tested on commercially available equipment.
Evaluation of the Mechanical Properties of Cast and Wrought CF8C-Plus Relevant to ASME Code Case Qualification
Authors: Chen Xiang (Frank) , Tortorelli Peter F. , Santella Michael L. , Pint Bruce A. , Wang Hong , Maziasz Philip J. , Sutton Benjamin , Purdy Daniel 
Published: October 2024

Abstract
The mechanical behavior of a cast form of an advanced austenitic stainless steel, CF8C-Plus, is compared with that of its wrought equivalent in terms of both tensile and creep-rupture properties and estimated allowable stress values for pressurized service at temperatures up to about 850°C. A traditional Larson-Miller parametric model is used to analyze the creep-rupture data and to predict long-term lifetimes for comparison of the two alloy types. The cast CF8C-Plus exhibited lower yield and tensile strengths, but higher creep strength compared to its wrought counterpart. Two welding methods, shielded-metal-arc welding (SMAW) and gas-metal-arc welding, met the weld qualification acceptance criteria in ASME BPVC Section IX for the cast CF8C-Plus. However, for the wrought CF8C-Plus, while SMAW and gas-tungsten-arc welding passed the tensile acceptance criteria, they failed the side bend tests due to lack of fusion or weld metal discontinuities.
Complex Linear Welding Development for Thick Section Electron Beam Welding for Pressure Vessel Applications
Authors: Dutilleul Thomas , Widdison Robert , Connell James , Crossley John , Albert Mark , Gandy David 
Published: October 2024

Abstract
As part of a Department of Energy (DOE) funded program assessing advanced manufacturing techniques for Small Modular Reactor (SMR) applications, the Nuclear Advanced Manufacturing Research Centre (AMRC) and the Electric Power Research Institute (EPRI) have been developing Electron Beam Welding (EBW) parameters and procedures based upon SA508 Grade 3 Class 1 base material. The transition shell, a complex component connecting the lower assembly to the upper assembly is a shell that flares up with varying thicknesses across its section. The component due to its geometry could be built by near net shape powder metallurgy hot isostatic pressing instead of conventional forging techniques. The demonstrator transition shell here is built from several sub-forging as a training exercise. The complex geometry and joint configuration were selected to assess the EBW as a suitable technique. This paper presents results from the steady state welding in the 60-110 mm material thickness range, showing that weld properties meet specification requirements. Weld quality was assured by Time-of-Flight Diffraction (ToFD). The transition shell was completed by welding a flange to the assembly. The presented transition shell assembly represents 6 welded sections all fabricated in below 100 min total welding time.