bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning–Based Production Forecasting and Data Assimilation in Unconventional Reservoir
Authors: Tripathi Bineet Kumar , Kumar Indrajeet , Kumar Sumit , Singh Anugrah 
Published: July 2024

Summary
Developing unconventional reservoirs such as shale oil is vital for fulfilling the need for energy consumption in the world. Oil production from shale reservoirs is still the most complicated and uncertain phenomenon because of its complex fracture networking, low matrix porosity, and permeability. Production forecasting is crucial for decision-making and tactical exploitation of subsurface resources during production. Traditional methods, such as the Arps decline model and reservoir simulation methods, face significant challenges in forecasting hydrocarbon production due to the highly nonlinear and heterogeneous nature of rocks and fluids. These methods are prone to substantial deviations in forecasting results and show limited applicability to unconventional reservoirs. Therefore, it is essential to improve the production forecasting capability with the help of a data-driven methodology. The data set for modeling is collected from two prominent shale oil-producing regions, the Eagle Ford and the Bakken. The Bakken data set is used to train and test the models, and the Eagle Ford data set is used to validate the model. The random search method was used to optimize the model parameters, and the window sliding technique was used to find a suitable window size to predict future values efficiently. The combination of different deep learning (DL) methods has designed a total of six hybrid models: gated recurrent unit (GRU), long short-term memory (LSTM), and temporal convolutional network (TCN). These models can capture the spatial and temporal patterns in the oil production data. The results concluded that the TCN-GRU model performed best statistically and computationally compared with other individual and hybrid models. The robust model can accelerate decision-making and reduce the overall forecasting cost.
Physical one-way functions for decentralized consensus via proof of physical work
Authors: Rhein Frank , Winkler Marvin , Peither Catharina , Petrick Simon , Seidemann Lothar , Jelich Holger , Jäger Frank Kleine , Müller-Quade Jörn , Colsmann Alexander , Nirschl Hermann 
Published: July 2024

Abstract

Decentralized consensus on the state of the Bitcoin blockchain is ensured by proofs of work. It relies on digital one-way functions and is associated with an enormous environmental impact. This paper conceptualizes a physical one-way function that aims to transform a digital, electricity-consuming consensus mechanism into a physical process. Boundary conditions for the security requirements are established and discussed as well as experimentally investigated for a specific setup based on printing and optical analysis of pigment-carrier composites. In the context of the applied methods, this setup promises to be mathematically unclonable, steady, reproducible, collision resistant and non-invertible and illustrates the feasibility of a physical one-way function. Based on this, a framework for a proof of physical work is conceptualized, which has the potential of a drastically lower CO2 footprint. This work initiates a progressive, interdisciplinary field of research and demands further investigations with regards to alternative setups, security definitions and strategies of challenging them.
Drug use, costs, and outcomes of high-risk febrile neutropenia in a tertiary care centre in South India – A prospective cost analysis study
Authors: N Sairam B V S , R Mirunalini , Kayal Smita 
Published: July 2024

Abstract

Background
Febrile Neutropenia (FN), a commonly encountered life-threatening complication of cancer chemotherapy, is a dose-limiting toxicity in the therapy of many cancers. The onset of FN demands dose reduction and usually temporary halting of chemotherapy, which could then affect the outcome of cancer treatment. The treatment of febrile neutropenia incurs significant expenses,and is itself regarded as an expensive side-effect of cancer chemotherapy. In our study, we wanted to quantify the drugs used in the treatment of febrile neutropenic episodes and the costs incurred as a result, as well as the outcomes of these episodes.
Methods
The study was a prospective observational study. Patients of either sex, of any age, diagnosed with cancer and classified as high-risk febrile neutropenia and hospitalised during the period of study were included in the study. A total of 46 patients with 50 episodes of FN were enrolled in the study. Data was collected from the department database and daily clinical notes and was entered into a pre-designed proforma. The drugs prescribed were classified as antibiotics and supportive medications. The drug cost of each episode was then calculated. The data was analysed using descriptive statistics.
Results
The mean age of participants was 26.66 (SD 13.28) years, with a median length of hospital stay of 10 (7–15) days. This study provides an estimate into the drug-related costs of management of febrile neutropenia. A total of Rs. 8,21,731 was spent on drugs for the management of fifty episodes, and the average cost of an episode was Rs. 16,434. Of the total cost, Rs. 7,00,300 (85.22%) was spent on antimicrobials.
Conclusion
Considering the complexities medical decision making and quality of care, the role of cost needs to take a major role in therapeutic options. There is a need to develop value-based policies, which strive to achieve the best clinical outcomes while also accounting for cost-effectiveness, polypharmacy and development of antimicrobial resistance.
Delineating Leachate Plume Migration at the Alaro Municipal Dumpsite using Electrical Resistivity Imaging
Authors: ARIYO STEPHEN , Adegoke Sama , Bayewu Olateju , Ishola Sakiruden , Alaka Afolabi 
Published: July 2024

Abstract

This study aimed to map and assess the environmental degradation caused by unmanaged municipal solid waste disposal at the Alaro municipal dumpsite in Southwestern Nigeria, with a focus on leachate contamination. Electrical resistivity imaging (ERI) was applied to define the subsurface geology of the area using five resistivity profiles acquired with a dipole-dipole electrode configuration. Each electrode transect spanned 100 meters with dipole spacings ranging from 2 m to 12 m. Analysis of the uncontaminated segment of the subsurface geology revealed a three-layered geo-electric (lithologic) succession, with resistivity ranges characteristic of loose alluvium, hybrid stratum, and faulted sandstone. Significant decreases in resistivity values, from 3 Ωm to 182 Ωm, were observed around and within the dumpsite, indicating extensive surface contamination by leachate. Three contamination zones were further characterized as leachate-saturated, leachate-concentrated, and leachate-infiltrated sands. In the study area, leachate infiltration extended to a depth of 20 meters, with a marked resistivity contrast between clean and contaminated segments. The likelihood of a normal fault along the control profile further justify leachate migration concerns, highlighting the severity of environmental pollution within the Quaternary sand formation. The contaminated segment poses a significant environmental hazard, that requires immediate mitigation action. Waste recycling, biomass energy generation, and the application of geotextile materials should be prioritized to remediate the dumpsite.
Volatile organic compounds in urine reveals distinct diagnostic signatures for gastric cancer
Authors: Sha Tao , Fei Wenyan , Zhao Yun , Bai Lin 
Published: July 2024

Abstract

Introduction:
Gastric cancer (GC) remains a significant contributor to cancer-related mortality, underscoring the critical necessity for specific biomarkers to enable early diagnosis and prognosis. Analyzing volatile organic compounds (VOCs) in vivo offers a promising non-invasive approach for assessing metabolic processes.
Methods
A total of 201 metabolic samples were acquired from 63 GC patients and 65 healthy controls. Employing solid-phase microextraction and gas chromatography-ion mobility spectrometry-based analytical procedures, we conducted qualitative and signal response analysis of VOCs in blood, feces and urine. Volatolomics was comprehensively investigated across multiple human matrices, and a machine learning-based marker importance assessment framework was employed to evaluate diagnostic biomarkers of GC. Furthermore, a single urine test diagnostic method was established to assess the sensitivity and accuracy of VOCs in diagnosing GC.
Results
We underscored the specific VOCs alterations in human matrices, with particular emphasis on serum, feces and urine. We confirmed the dysregulation of GC metabolism during tumor development, as evidenced by VOCs such as short-chain fatty acids and ketones. Our developed urine-based VOCs targeted assay demonstrated superior diagnostic efficacy (AUC = 0.85, accuracy = 0.76, precision = 0.78, sensitivity = 0.75, F1 score = 0.75) compared to conventional serum markers (AUC = 0.68, accuracy = 0.63, precision = 0.70, sensitivity = 0.72, F1 score = 0.69).
Conclusions
Urine VOCs testing enhances GC detection efficacy and represents a novel strategy for cancer diagnosis. The confirmed robustness and precision underscore its potential for clinical translation.
Trial registration
ChiCTR, ChiCTR2300073117. Registered 2 July 2023 Retrospectively registered, https//www.chictr.org.cn/showproj.html?proj=200842
Uncovering the hidden within shipping containers: Molecular biosurveillance confirms a pathway for introducing multiple regulated and invasive species.
Authors: Milián-García Yoamel , Pyne Cassandre , Chen Ashley , Lindsay Kate , Hanner Robert H. 
Published: July 2024

Abstract

The negative ramifications of invasive alien species (IAS) are considered the second-most cause of biodiversity extinction and endangerment after habitat modification. IAS movements are mainly anthropogenically driven (e.g., transport of shipping containers) and require fast detection to minimize damage and cost. The present study is the first to use molecular biosurveillance of international shipping containers to detect IAS and regulated species identification in Canada. Thirty-eight samples were collected from debris (soil, stems, seeds, individual specimens) found in containers arriving in Canada. A multi-marker approach using COI, ITS, ITS2, and 16S was used to identify four main taxonomic groups: arthropods, fungi, plants, and bacteria, respectively. Eleven IAS species were identified via metabarcoding based on environmental DNA samples, including two arthropods, six fungi, two plants, and one bacteria. The origin of the eDNA detected from each species was linked to their native distribution and country of origin, except for Lymantria dispar. Four physical specimens were also collected from shipping container debris and DNA barcoded, identifying three non-regulated species (two arthropods and one fungus). Altogether, these results demonstrate the importance of integrating molecular identification into current toolkits for the biosurveillance of invasive alien species and provide a set of validated protocols ready to be used in this context. Additionally, it reaffirms international shipping containers as a pathway for multiple invasive aliens and regulated species introduction in Canada. It also highlights the need to establish regular and effective molecular biosurveillance at the Canadian border to avoid new or recurrent invasions.
Predicting intraocular pressure using neural networks: Incorporating eye fundus images and clinical data from PAPILA dataset
Authors: Ly-Yang Fernando , Chou Munazzah , Van-Lancker Lauren , Panos Chris 
Published: July 2024

Abstract

This study explores the potential of deep learning models to predict intraocular pressure (IOP) using a combination of retinal fundus images and clinical ophthalmology data. Utilizing the PAPILA dataset, which includes images categorized as normal or glaucoma, we trained a neural network model on 70% of the data, reserving 15% each for validation and testing. Our results indicate that the model achieved a Mean Absolute Error (MAE) of 2.52, suggesting an average deviation of 2.52 units from the actual IOP values. The model's R-squared value was 0.10, reflecting that approximately 10.24% of the variance in IOP was accounted for by the predictors used. These outcomes underscore the challenges and nuances of predicting IOP solely from ocular images and emphasize the importance of incorporating clinical data for more accurate predictions. This approach could be particularly beneficial in regions with limited access to ophthalmic healthcare, providing a cost-effective tool for early screening and management of glaucoma.
Traffic Carrying and Delay Response Scheduling Algorithm for Distributed E- commerce Platforms
Authors: Gao Li , Yang Heyu , Chen Shiping , Fan Haiping 
Published: July 2024

Abstract

The popularization of digitalization, informatization and the Internet has given birth to the rapid development of e-commerce. Faced with the rapidly expanding user traffic, there are still technical bottlenecks in how e-commerce platforms can carry more user traffic and improve server response performance. This article conducts system optimization performance analysis from both hardware and software aspects, and constructs a high-performance distributed AR-AFSA system. (1) The AR (Application Router, AR) architecture is configured with three JobManager server nodes, each receiving three types of user access requests. A traffic allocation mechanism is used to distribute the system's traffic carrying pressure, and user requests are divided into four traffic queues for scheduling according to different access methods. (2) Improve AFSA for container scheduling, re plan the execution order of various behaviors of artificial fish, reduce ineffective search steps, and influence the direction of artificial fish's movement through the global optimal solution, increasing the possibility of finding the optimal solution and accelerating local convergence speed. (3) Using the CPU, memory performance, and load balancing parameters of the container as the parameters and evaluation indicators for artificial fish, matching sufficient resource containers for user requests while ensuring container resource conservation and system load balancing. Finally, the traffic carrying capacity of the AR system and the single JobManager system was validated using the Taobao user behavior dataset and multiple control experiments. The AR system can withstand three times the traffic pressure of traditional servers. The improved AFSA algorithm can converge to a more optimal solution compared to the control algorithm, and in more complex server resource sizes, it consumes lower latency, reduces iteration times, schedules and uses more reasonable resources, demonstrating greater advantages.
Survival paradox and effect of adjuvant chemotherapy for high-risk Stage II and low-risk Stage III colorectal cancer
Authors: Noda Keisuke , Tominaga Tetsuro , Nonaka Takashi , Ono Rika , Ohishi Kaido , Takamura Yuma , Shiraishi Toshio , Hashimoto Shintaro , Hisanaga Makoto , Takeshita Hiroaki , Ishii Mitsutoshi , Oyama Shosaburo , Ishimaru Kazuhide , Sawai Terumitsu , Matsumoto Keitaro 
Published: July 2024

Abstract

Purpose: High-risk Stage II may have a worse prognosis than low-risk Stage III colorectal cancer and there are limited reports examining the efficacy of adjuvant chemotherapy in Stage II and III subgroups.
Methods: Using a multicenter database, 598 colorectal cancer patients who underwent laparoscopic colorectal resection and were pathologically diagnosed with high-risk Stage II (T4N0) or low-risk Stage III (T1-2N1, T1-2N2, T3N1) between April 2016 and December 2022 were retrospectively reviewed.
Results: Fewer patients received adjuvant chemotherapy in the T4N0 group (54.7/45.0/44.7/27.7%, p<0.001). The T4N0 group had significantly worse 5-year relapse-free survival (RFS) (67.0 vs. 95.5%, p<0.01) and 5-year overall survival (OS) (56.5 vs. 91.7%, p<0.01) than the T1-2N1 group. The T4N0 group had significantly worse 5-year RFS (67.0% vs. 95.5%, p<0.01) and 5-year OS (56.5% vs. 91.7%, p<0.01) than the T1-2N1 group. Five-year OS was significantly better in the T1-2N1 and T3N1 groups with than without adjuvant chemotherapy (p<0.032, p<0.001, respectively), but not in the T4N0 group.
Conclusions: The present multicenter study showed that high-risk Stage II colorectal cancer may have a worse prognosis than low-risk Stage III colorectal cancer. Preoperative chemotherapy should be considered to improve the prognosis of T4N0 colorectal cancer.
Angiotensin converting enzyme expression on circulating immune cells from colorectal cancer patients correlates with the disease stage. Results from a preliminary study.
Authors: Bueno Valquiria , Frasca Daniela , Forones Nora M 
Published: July 2024

Abstract

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related mortality worldwide. Because CRC is a very complex disease, sometimes patients at same disease stage are treated with combinations of systemic therapy and surgery leading to different outcomes. Immune T and B cells infiltrating the tumor has been associated with disease-free survival, cancer-specific survival and overall survival. In the opposite, Myeloid-derived suppressor cells infiltrating the tumor has been linked to poor outcome. The peripheral blood evaluation of immune cells is less invasive, easy to be performed in different CRC follow-up visits, and could be used as a guide for therapy interventions. The expression of angiotensin converting enzyme (ACE) in immune cells can be used as a biomarker for cancer prognosis an also as a target for cancer treatment since ACE expression in macrophages and neutrophils has been related to improved immunity. Our aim therefore was to investigate the expression of ACE in subsets of T, B, and myeloid-derived suppressor cells in peripheral blood from CRC patients. We found that the expression of ACE is increased in Naïve and Effector T cells and in Effector B cells of CRC patients stage III. These findings open opportunities for targeting ACE in immune cells as a new therapy in colorectal cancer.
Transdermal Microneedle Patch for Antioxidants Release
Authors: Mugo Samuel , Roberston Scott , Lu Weihao 
Published: July 2024

Abstract

Polymer based microneedle transdermal drug delivery system fits the criterion for an efficient patient compliant drug delivery system of the future. We demonstrate a polymer-based microneedle drug release transdermal platform fabricated via layer by layer (LbL) assembly of conductive polydimethylsiloxane integrated with carbon nanotubes, cellulose nanocrystal and polyaniline (PDMS@CNT/CNC@PANI). The electrically conductive PDMS@CNT/CNC@PANI microneedle patch provides a platform for drug loading, stabilization and transdermal controlled drug release. The drug loaded PDMS@CNT/CNC@PANI microneedle patch was evaluated for diffusion and voltage mediated transdermal delivery of thymol blue and rutin as model compounds. Chicken skin was used as an analogue of human skin.
A way of relating to life; myself and others - a thematic analysis of patients' experience of having an eating disorder
Authors: Bäck Malin , Gustafsson Sanna Aila , Jacobson Karin , Ljung Theresia , Holmqvist Rolf , Andersson Gerhard 
Published: July 2024

Abstract

Background: Eating disorders are psychiatric conditions involving not just weight, body, and shape concerns but also self-esteem, emotional, interpersonal, and cognitive difficulties. Understanding the deeper meaning of living with an eating disorder is significant from a theoretical standpoint and crucial for identifying factors that maintain or inhibit these disorders. Patient-centred studies offer valuable insights into the lived experience of eating disorders, highlighting their impact and interaction with various life phenomena. This qualitative study aimed to capture the meaning and experience of living with an eating disorder from a patient perspective.
Methods: Interviews were conducted with 15 women suffering from eating disorders and comorbid depressive symptoms prior to the start of treatment. Data were analysed using reflexive thematic analysis.
Results: Two dimensions of relating to the eating disorder were identified. The first dimension, "Having an eating disorder - a relentless relating," described the present experience and was divided into two themes: “The eating disorders impact on relating to myself” and “The eating disorders impact on relating to others”. The second dimension "Relating to the eating disorder over time” followed a timeline with four themes; “The eating disorder as a way to handle other difficulties”, “From control to consistent loss of control”, “The whole existence is impinged” and “Hard to see a life without the eating disorder”.
Conclusions: Living with an eating disorder involves a constant, disorganized relationship to the eating disorder that creates alienation from significant others and one's own body, making it challenging to relate to oneself and the world without eating disordered thoughts and behaviours. Over time, the eating disorder becomes increasingly ego-syntonic, making it hard to envision life without it. Therefore, treatment should highlight interventions to help individuals view the disorder as distinct from themselves, in reconnecting with their bodies, and acknowledging their needs and wishes. Given that eating disorders often become the central focus of life, treatment should also aim to foster new life goals, social engagement, improve interpersonal skills, and develop a meaningful life beyond the eating disorder.
Impact of health belief on self-efficacy for postoperative rehabilitation management in lung cancer patients: the Chain mediating role of respiratory exercise compliance and symptom burden
Authors: Qiao Jianfeng , Li Xuting , Zhu Gangjiao , Chen Yujie , Chen Tian , Ye Man , Huang Lihua 
Published: July 2024

Abstract

Background
Self-efficacy for postoperative rehabilitation management is the key to rapid recovery after lung cancer surgery. Identification of protective and risk factors is a prerequisite for programs to enhance self-efficacy. The aim of this study was to determine the relationship between health belief and self-efficacy for postoperative rehabilitation management, and to further elucidate the mechanisms by which health belief improve patients' self-efficacy for postoperative rehabilitation management by enhancing pulmonary exercises compliance and reducing self-perceived symptom burden.
Methods
A total of 231 patients who underwent lung cancer resection from March 2023 to August 2023 were conveniently selected and investigated using the general information questionnaire, MD-Anderson Symptom Inventory, Pulmonary exercises compliance questionnaire, Champion’s health belief model scale, and Self-efficacy scale for postoperative rehabilitation management of lung cancer. The mediating roles of pulmonary exercise compliance and symptom burden in the relationship between health belief and self-efficacy for postoperative rehabilitation management were analyzed by structural equation modeling using IBM AMOS 22.0.
Results
Patient pulmonary exercise compliance (β = 0.59, p < 0.05) had a direct effect on self-efficacy for postoperative rehabilitation management, while pulmonary exercise compliance negatively affected self-perceived symptom burden (β=-0.22, p < 0.05) and symptom burden negatively affected self-efficacy for postoperative rehabilitation management (β=- 0.12, p < 0.05), and health belief indirectly influenced self-efficacy for postoperative rehabilitation management through the interlocking mediating effects of pulmonary exercise compliance and symptom burden.
Conclusions
Pulmonary exercise compliance and self-perceived symptom burden chain-mediated between health belief and self-efficacy for postoperative rehabilitation management, and health belief can influence symptom burden and self-efficacy for postoperative rehabilitation management through pulmonary exercise compliance.