bluuebunny/crossref_metadata_2025_split huggingface dataset:
UV-C-induced changes in a white wine: Evaluating the protective power of hydrolysable tannins and SO<sub>2</sub>
Authors: Cvetkova Svetlana , Wacker Michael , Keiser Jutta , Hirt Benedikt , Stahl Mario , Scharfenberger-Schmeer Maren , Durner Dominik 
Published: April 2024

UV‑C treatment is a non-thermal technology that could be used for the microbiological stabilisation of must and wine. However, light - in this case UV‑C light - has an impact on wine. UV‑C is a high-energy light source and can promote photo-induced oxidation reactions. The formation of reactive oxygen species during the UV-C treatment of wine can be prevented via supplementation with antioxidants. These have the ability to neutralise reactive oxygen species or directly interact with the products of photo-induced oxidation reactions. This study investigates the impact of different UV‑C doses on the chemical and sensory characteristics of Chardonnay wine and examines the protective effect of two antioxidants: sulphur dioxide (SO2) and hydrolysable tannins. A sensory evaluation revealed that UV‑C doses higher than 1 kJ/l increased the colour intensity and the oxidised and burnt odour attributes of the wine. The peach odour attribute decreased with UV‑C treatment. On a chemical level, increasing UV‑C doses promoted the formation of compounds such as acetaldehyde and 2‑aminoacetophenone (2‑AAP), while causing the degradation of C13‑norisoprenoids, higher alcohols, monoterpenes and esters. Contrary to expectations, SO2 did not act as an antioxidant when wine was treated with UV-C. It intensified the burnt odour attribute and did not mitigate the intensity of the oxidised odour attribute, which can be explained by the formation of acetaldehyde. However, hydrolysable tannins acted as antioxidants when combined with UV‑C treatment, effectively mitigating the formation of 2‑AAP and acetaldehyde, while preventing the wine from becoming oxidised.
Implementasi Metode Double Exponential Smoothing Dalam Peramalan Nilai PDRB Kota Tangerang Selatan Tahun 2023 – 2027
Authors: ARTIYATI NIKI , Tri Utari Dina 
Published: April 2024

Pembangunan ekonomi merupakan rangkaian usaha dengan tujuan perbaikan taraf hidup masyarakat, memperluas lapangan pekerjaan, meratakan distribusi pendapatan masyarakat, dan meningkatkan hubungan ekonomi regional. Dalam pembangunan ekonomi sendiri, dibutuhkan berbagai macam data statistik yang dapat dijadikan dasar untuk menentukan strategi kebijakan supaya sasaran dalam pembangunan tersebut dapat tercapai, salah satunya adalah menggunakan nilai Produk Domestik Regional Bruto. BPS Kota Tangerang Selatan telah mencatat data pertumbuhan ekonomi di Kota Tangerang Selatan yang diukur berdasarkan kenaikan nilai PDRB yang mencapai angka sebesar 66.021.910,5 juta rupiah di tahun 2022. Selain itu, data BPS Kota Tangerang Selatan juga mencatat berdasarkan dengan data pertumbuhan ekonomi bahwa data pertumbuhan Kota Tangerang Selatan pada tahun 2021 mencapai angka 4,77 persen. Dimana angka tersebut mengalami peningkatan apabila dibandingkan dengan tahun 2020 yang mengalami penurunan di angka -1,02 persen. Dalam penelitian ini akan digunakan metode peramalan Double Exponential Smoothing menggunakan Holt untuk memprediksi nilai PDRB di Kota Tangerang Selatan 5 periode ke depan atau tahun 2023 hingga tahun 2027. Dalam peramalan nilai PDRB ini, diperoleh hasil peramalan untuk tahun 2023 sebesar 68.550.224 juta rupiah, tahun 2024 sebesar 71.239.732 juta rupiah, tahun 2025 sebesar 73.929.240 juta rupiah, tahun 2026 sebesar 76.618.747 juta rupiah, dan tahun 2027 sebesar 79.308.255 juta rupiah.
Fuzzy-Based Control System of Drilling Fluids Density and Apparent Viscosity Simultaneously: An Alternative Strategy to Support Autonomous Drilling Operations
Authors: Mello Thalles P. , Borges Filho Moacyr N. , Borges Rodrigo F. O. , Ferraz Rodrigo S. C. , Waldmann Alex T. , Scheid Cláudia M. , Meleiro Luiz A. C. , Calçada Luís A. 
Published: April 2024

Summary
Among all the systems that make up a drilling operation, the production and correction of drilling fluid can be considered the heart of the process. Among the main objectives of the drilling fluid are to cool the drill bit and maintain the pressure gradient inside the drilling well, which is done by controlling its density. Another important function is transporting the cuttings from the bottom to the surface and keeping them in suspension in case of stoppage, which directly depends on the viscosity of the drilling fluid. Density and viscosity must be constantly maintained within an operational window, and failures can lead to serious accidents, even the loss of the well. Currently, this control is done manually: An operator collects samples of the fluid and takes them for analysis in the laboratory and subsequently makes the necessary corrections by manually adding products to the fluid. To reduce process dead time, keep personnel on board, and increase operation safety, a control and monitoring system is necessary. Fuzzy logic was chosen because it can be combined with classical methods, is cheap to develop and implement, and can be customized in terms of natural language, capturing the knowledge acquired by operators from equipment operation, bench tests, etc. This work aimed to develop a novel real-time monitoring and fuzzy-based system for simultaneous control of the apparent viscosity and density of non-Newtonian fluids, dealing with the inevitable interactions between them in a pilot experimental unit. A pilot plant was built to evaluate the fuzzy system approach for modeling and controlling of density and apparent viscosity of drilling fluids. The pilot flow loop comprises a mixing tank, solids vibrating feeders, and a water-dosing pump. The unit was instrumented with online sensors to measure fluid density, temperature, flow rate, differential pressure, and viscosity. The apparent viscosity and density of the non-Newtonian fluid were controlled by manipulating the dosage of carboxymethylcellulose (CMC), barite, and water. The proposed methodology was compared to a classical proportional-integral-derivative (PID) controller in servo and regulatory scenarios for apparent viscosity and density. The results showed that the fuzzy controller dealt adequately with the effect of variable interactions, keeping both variables within their setpoint ranges, demonstrating the ability to control them individually despite their interactions. These results also showed that the fuzzy-based controller could easily be integrated into a diagnostic-predictive monitoring system to control fluid properties, accomplishing setpoint changes and rejecting undesirable disturbances presenting a maximum overshoot of 7.5% for apparent viscosity and 0.3% for density.
Analyzing the Impact of Pipeline Length and CO2 Mass Flow Rate on the Transportation Cost Based on the Required Number of Booster Pumps: A Case Study of Houston
Authors: Diabate Massiagbe Fatoumata , Kalantari Fatemeh , Chen Steven , Shi Jian , Krishnamoorthy Harish Sarma 
Published: April 2024

Summary
Carbon dioxide (CO2) occupies the leading position among greenhouse gas (GHG) emissions that adversely impact the environment. A way to remedy the growing emission of CO2 is by using carbon capture and storage (CCS) or carbon capture, utilization, and storage (CCUS) technologies. This paper proposes a novel optimization framework to minimize the transportation cost of CO2 by determining the required number of booster pumps, with the consideration of the impact of pipeline length and CO2 flow rate. As a case study, we conducted a study of optimally transporting 1 Mt (million tonnes) of CO2 through pipelines from four well-defined sources over 62 miles (sink) in the greater Houston area (Texas, USA). This optimization problem considers the impact of pipeline length and CO2 flow rate on the transportation cost of CO2. The results from the optimized system show that the pipeline length and CO2 flow rate need to be tuned properly to optimally transport and recover the investment price. For the system to be cost-effective, it is preferable to transport a high flow rate of CO2 (&gt;50 Mt) over a longer distance (&gt;100 miles); anything outside the mentioned ranges or less can increase the investment and CO2 transportation costs.
Failure Analysis and Ultimate Expansion Mechanical Behavior Analysis of Thin-Walled Solid Expandable Tubular
Authors: Zhu Xiaohua , Cheng Feilong , Shi Changshuai 
Published: April 2024

SummaryWith the vigorous exploitation of shale gas, the cost of drilling and production of shale gas wells, which can reduce the cost, has also received attention. Equal-diameter solid expandable tubular (SET) technology is one of the best choices at present. For this paper, we carried out a series of expansion experiments for 20G pipe, and the experimental results show that the pipe breaks and fails at 30% expansion ratio. The cracked pipe is analyzed by scanning electron microscopy (SEM), and the method to solve the failure of cracked pipe is proposed. In addition, a 3D dynamic model is established to study the relationship between the inner diameter, wall thickness, expansion ratio, and ultimate expansion ratio of the pipeline. The study results show that (1) SET made of 20G expanded successfully at 25% expansion ratio and failed at 30% expansion ratio, the fracture surface presents 45°, with typical shear failure characteristics; (2) SEM results showed that the pit characteristics were normal, the pipe was cracked under high stress, and the 20G pipe could not meet the expansion ratio of 30%; and (3) the maximum stress of 20G pipe during expansion is proportional to the expansion ratio. It is recommended that the SET expansion rate of 20G material should not exceed 26%. The research results will provide ideas and methods for the design of SET.
To scrounge or not to scrounge? Towards a unified theory of human food-sharing
Authors: Pinheiro Marcos Paiva 
Published: April 2024

Abstract
While it is widely believed that human food-sharing behavior can be explained by the concurrent influence of tolerated scrounging, kin selection and reciprocal exchange, no theoretically unified set of predictions has ever been derived from these models. The present work develops such an integrated explanatory framework for the first time and shows that a pure scrounging equilibrium is the only evolutionarily stable outcome when the tolerated scrounging, kin selection and reciprocal exchange mechanisms simultaneously concur to determine food-sharing behavior. In the discussion section, I argue that the formal proof developed here invites extensive revision of theoretical claims put forward by evolutionary anthropologists in their study of human food sharing and cooperation.
Context specificity of translation inhibitors revealed by toe-seq
Authors: Sergiev Petr , Kabilov Marsel , Komarova Ekaterina , Pichkur Evgeny , Zotova Polina , Kasatsky Pavel , Volynkina Inna , Tupikin Alexey , Pavlova Julia , Lukianov Dmitrii , Osterman Ilya , Pyshniy Dmitry , Paleskava Alena , Bogdanov Alexey , Dontsova Olga , Konevega Andrey 
Published: April 2024

Abstract
Translation is a critical step in gene expression and a target for multiple antibiotics. Inhibition of protein synthesis by many antibiotics depends on mRNA context, making them selective towards particular mRNAs. Toe-printing is a standard low-throughput method to determine ribosome position along mRNA. Hereby we report the development and application of the Toe-seq method, combining toe-printing with next-generation sequencing. Toe-seq proved to be efficient to monitor translation and its inhibition by antibiotics for the library of over 37 000 mRNAs. Context-specificity of antibiotic action could be determined for different antibiotics via Toe-seq. Previously known sequence dependencies of translation inhibition were reproduced by Toe-seq. Data obtained by Toe-seq demonstrated context-specificity of etamycin A (EtaA) action whose binding site is located in the nascent peptide tunnel. Comparison of EtaA specificity with that of erythromycin (Ery) and tetracenomycin X (TcmX) revealed important differences and commonalities. Structural basis for the context-specificity of translation inhibition by EtaA has been deciphered by cryo-electron microscopy at 2.2 Å resolution. Toe-seq method allows one to monitor ribosome progression and stalling in vitro at a codon resolution, making it possible to assess antibiotics context specificity in a multiple parallel assay.
Using Virtual Reality to Study Spatial Mapping and Threat Learning
Authors: Suarez-Jimenez Benjamin , Marino Claire , Rjabtsenkov Pavel , Sharp Caitlin , Ali Zonia , Pineda Evelyn , Bavdekar Shreya , Garg Tanya , Jordan Kendal , Halvorsen Mary , Aponte Carlos , Blue Julie , Zhu Xi 
Published: April 2024

Abstract
Using spatial mapping processes to learn about threat and safety in an environment is crucial for survival. Research using conditioning paradigms has explored the effects of state (transient arousal) and trait anxiety (anxiety as an aspect of personality) on threat learning and acquisition. However, results are mixed, and little is known regarding why some individuals do not learn to discriminate between threat and safety during contextual conditioning. We used a virtual reality (VR) contextual threat conditioning paradigm to elucidate the effects of state and trait anxiety on contextual threat learning. 70 healthy participants (46 female) navigated and “picked” flowers in a VR environment. Flowers picked in the dangerous zone (half of the environment) were paired with an electric shock (or “bee sting”) to the hand; flowers picked in the safe zone were never paired with a shock. Participants also collected and returned neutral objects as a measure of spatial memory. Galvanic skin response (GSR) was measured throughout the task and anxiety was assessed via the State Trait Anxiety Inventory (STAI). Participants were categorized as learners if they correctly identified the two zones after the task. Non-learners, compared to learners, performed significantly worse during the spatial memory task and demonstrated significantly higher state anxiety scores and GSR levels throughout the task. Learners showed higher skin conductance response (SCR) in the dangerous zone compared to the safe zone while non-learners showed no SCR differences between zones. These results indicate that state anxiety may impair spatial mapping, disrupting contextual threat learning.
Inter-rater disagreement in manual scoring of intensive care unit sleep data
Authors: Reinke Laurens , Heide Esther M. , Fonseca Pedro , Absalom Anthony R. , Tulleken Jaap E. 
Published: April 2024

Abstract
Objective: Severe sleep disruption is common among intensive care unit (ICU) patients. However, the applicability of standard sleep scoring guidelines by the American Academy of Sleep Medicine (AASM) has been questioned, with most polysomnography (PSG) studies in critically ill patients reporting difficulties in setting up and processing and scoring the recordings. The present study explores human inter-rater agreement in sleep stage scoring following the AASM guidelines, within a heterogenous ICU patient cohort.
Results: Two human experts independently scored a total of 51,454 epochs in 20 PSG recordings acquired at the ICU. Epoch-per-epoch comparison of scored stages revealed a Cohen’s κ coefficient of agreement of 0.36 for standard 5-stage scoring. Highest agreement occurred in Wake (κ = 0.46), while REM showed the lowest (κ = 0.12). Significant correlations were found between inter-rater agreement, and Simplified Acute Physiology Score (SAPS II, r=-0.506, p=0.038), and 12-month mortality (r=-0.524, p=0.031).
Comparison with similar studies underscore challenges in applying AASM criteria to ICU patients. Despite accounting for artifacts, disparities persisted, emphasizing the need for a nuanced exploration of factors influencing scoring inconsistencies in critically ill patients.
Exploring the Impact of Volumetric Graphics on the Engagement of Broadcast Media Professionals
Authors: Young Gareth W. , Dinan Grace , Smolic Aljosa , Ondřej Jan , Pagés Rafael 
Published: April 2024

Abstract

Purpose:: The purpose of this study is to explore content creator preferences in broadcast media, with a specific focus on the impact of integrating 3D graphics to enhance viewer engagement.
Methods:: In this study, we investigated the integration of 3D technology in broadcasting. We examined the preferences of content creators and assessed the impact of 3D photo-real human representations on perceived production quality and viewer engagement. Data was collected through surveys, interviews, and real-time broadcast analysis to gain insights into this technology's potential benefits and challenges in broadcasting.
Results:: Our findings indicate that incorporating 3D photo-real human representations into broadcasting significantly improves production quality and viewer engagement, especially in real-time broadcasts. We also observed that 3D humans offer greater depth and presence, although challenges in fidelity and orientation highlight areas for technological advancement. Additionally, our study revealed the complementary nature of 2D and 3D visuals in broadcasting, with each modality serving distinct purposes—2D for clarity and information conveyance and 3D for immersive experiences.
Conclusion:: This research suggests a paradigm shift in broadcast content creation, where integrating 3D technologies, such as 3D photo-real human representations, can lead to more dynamic, engaging, and visually appealing content across various platforms. The study's findings provide explicit guidelines for content creation, catering to diverse viewer preferences and evolving consumption patterns. This research contributes to the broader understanding of how technological advancements in extended reality can effectively enhance the media landscape.
CRC genome-driven metabolic reprogramming and immune microenvironment remodeling
Authors: Xiong Yan , Xiong Weiqiang , Wang Yanhua , He Chuan , Zhan Yimei , Pan Lili , Luo Liangping , Song Rongfeng 
Published: April 2024

Abstract

Background
Colorectal cancer is a global digestive tract malignancy closely tied to microsatellite instability (MSI). MSI stems from DNA mismatch repair issues, categorized as MSI-High (MSI-H), MSI-Low (MSI-L), or Stable (MSS). Tailoring treatments based on MSI status is vital. MSI-H tumors, with high mutation and neoantigen loads, respond well to immune checkpoint inhibitors (ICIs). However, some MSI-H tumors display resistance due to complex factors like the tumor microenvironment, signaling pathways, immune cells, and checkpoint molecules.
Methods
Through the analysis of CRC genomic data, we identified the key genomic events that drive MSI. At the same time, through transcriptome analysis, we discovered the key genes.
Results
We performed a differential analysis between MSI-H and MSS/MSI-L and found that signaling pathways involved in lipid and hormone metabolism were significantly inhibited, including cholesterol homeostasis and hormone metabolism processes. At the same time, immune-related pathways were significantly activated. We identified genes associated with MSI-H, such as FAT4, BRAF, APC, and TTN, that were mutated at a higher frequency and number in MSI-H patients, thereby affecting tumor initiation, progression, and treatment response. These genes participate in different signaling pathways, such as Wnt/β-catenin pathway, MAPK pathway, PI3K/AKT pathway, etc.
Conclusion
This study reveals the presence of an active immune response in MSI-H tumors along with reduced levels of lipid metabolism and abnormal pathway phenotypes related to the proliferation and migration of Wnt/β-catenin and the MAPK pathway.
WITHDRAWN: Allen Type III Fingertip Amputation Injury: Conservative Management with Moist Wound Dressings (Case report)
Authors: Aldaer Adnan 
Published: April 2024

Abstract
April 3, 2024. Research Square has withdrawn this preprint due to overlap with {another author's published work}(https://amjcaserep.com/abstract/full/idArt/928950).
FEDRETAIL: A Framework for Distributed Retail Data Analysis and Learning Toward E-commerce 5.0
Authors: Chongder Sumit 
Published: April 2024

Abstract
Retail data analysis has been identified as a crucial component in the pursuit of E-commerce 5.0. The recent rapid development of Information and Communication Technology (ICT) has revolutionized retail data analysis by providing advanced technologies such as big data analysis and machine learning. However, the privacy of customers has become a significant concern, making retail institutions hesitant to share their customer data. This reluctance forms isolated data islands, hindering the realization of comprehensive retail data analysis. I propose a federated learning-based retail data analysis framework, FEDRETAIL, to address this challenge. This framework allows retail data analysis federations to be formed by several institutions. None of these institutions need to exchange their customer data with each other directly, and they always keep the data in their place to ensure their customers’ privacy. The FEDRETAIL framework is applied to analyze a retail dataset via different federated learning paradigms. The experimental results show that our framework not only guarantees the customers’ privacy but also effectively breaks the borders of data islands by achieving higher analysis quality. FEDRETAIL framework closely approaches the performance of centralized analysis, which requires data collection in a commonplace, posing a risk of privacy exposure. In conclusion, the FEDRETAIL framework presents a promising solution for privacy-preserving retail data analysis in the era of E-commerce 5.0, paving the way for more effective and secure data-driven decision-making in the retail industry.
Intravenous Patient-Controlled Analgesia with Esketamine Improves Early Depressive Symptoms in Patients with Postherpetic Neuralgia: A Single-Center Retrospective Cohort Study
Authors: Qiu Ling , Chen Xuhui , Jia Fu , Chen Xingqu , Wang Xiaobin 
Published: April 2024

Abstract

Objective
Patients with Postherpetic Neuralgia (PHN) often exhibit depressive-like symptoms, significantly impacting their quality of life. Esketamine, known for its analgesic properties, has also been recognized for its rapid antidepressant effects. However, its efficacy in the treatment of PHN requires further exploration. This study aims to evaluate the impact of intravenous patient-controlled analgesia with esketamine on depressive mood in PHN patients.
Methods
This retrospective study analyzed PHN patients hospitalized and treated at the affiliated hospital of Southwest Medical University from June 2021 to March 2023. Patients were divided into the esketamine group (E group) and the sufentanil group (S group) based on their treatment regimens. Primary outcomes included pain NRS, depression PHQ-9, and anxiety GAD-7 scores measured before treatment, and at 3 days, 7 days, 1 month, 2 months, and 3 months post-treatment.
Results
A total of 83 patients were included in the analysis. Before treatment, there were no statistically significant differences in pain NRS, depression PHQ-9, and anxiety GAD-7 scores between the two groups (P > 0.05). Compared to before treatment, significant reductions in pain NRS scores were observed at all post-treatment time points in both groups (P < 0.05), with no differences between groups (P > 0.05). The E group exhibited significantly lower depression PHQ-9 scores than the S group at 3 days and 7 days post-treatment (P < 0.05), but no significant differences were observed at 1 month, 2 months, and 3 months (P > 0.05). Anxiety GAD-7 scores were significantly lower in the E group compared to the S group at 3 days, 7 days, and 3 months post-treatment (P < 0.05), with no statistical differences at 1 month or 2 months post-treatment (P > 0.05).
Conclusion
Intravenous patient-controlled analgesia with esketamine not only alleviates pain in PHN patients but also improves early symptoms of anxiety and depression.