bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multidimensional schizotypy and embodied emotions
Authors: Torregrossa Lénie J. , Blain Scott D. , Snodgress Matthew A. , Park Sohee 
Published: April 2023

BackgroundDisembodiment and socio-emotional deficits are core features of the schizophrenia spectrum from the prodromal stages to chronic illness. A recent study documented anomalous emotional embodiment in individuals with schizophrenia. Although bodily self disturbances have been shown to precede and predict psychosis onset in at-risk populations, the etiology of anomalous emotional embodiment remains largely unexplored. The present study investigated bodily maps of emotions in relation to schizotypy to extend our understanding of embodied emotions in the schizophrenia spectrum.MethodsA total of 419 participants (312 female; 19.50 ± 1.22 years) completed a topographical body mapping task where they reported patterns of embodiment experienced in the context of eleven different emotions and a neutral state (EmBODY). Embodied emotions were investigated in relation to multidimensional schizotypy.ResultsIndividuals with elevated negative schizotypy experienced embodied emotions with higher intensity (r = 0.16, p = 0.003) but lower clarity (i.e., endorsing activation and deactivation in the same bodily location; β = −0.28, 95% CI [−0.54, −0.03], Z = 2.25, p=0.02) and endorsed more incongruent bodily sensations of emotions (i.e., reporting bodily activation in the context of a low-arousal emotion, r = 0.12, p = 0.05; reporting bodily deactivation in the context of high-arousal emotions, r = 0.13, p = 0.02). In line with the anomalous emotional embodiment documented in individuals with schizophrenia, some of these differences were particularly notable for low-arousal emotions.DiscussionThese results reveal negative schizotypy as a significant correlate of differences in emotional embodiment. More work is needed to link these differences to the anomalous bodily sensations of emotions documented in schizophrenia and assess their functional impact.
Agomelatine's antiglycoxidative action—In vitro and in silico research and systematic literature review
Authors: Nesterowicz Miłosz , Lauko Kamil Klaudiusz , Żendzian-Piotrowska Małgorzata , Ładny Jerzy Robert , Zalewska Anna , Maciejczyk Mateusz 
Published: April 2023

IntroductionAgomelatine is an atypical antidepressant drug enhancing norepinephrine and dopamine liberation; nevertheless, additional mechanisms are considered for the drug's pharmacological action. Since protein glycoxidation plays a crucial role in depression pathogenesis, agomelatine's impact on carbonyl/oxidative stress was the research purpose.MethodsReactive oxygen species scavenging (hydroxyl radical, hydrogen peroxide, and nitrogen oxide) and antioxidant capacity (2,2-diphenyl-1-picrylhydrazyl radical and ferrous ion chelating assays) of agomelatine were marked. Agomelatine's antiglycoxidation properties were assayed in sugars (glucose, fructose, and galactose) and aldehydes- (glyoxal and methylglyoxal) glycated bovine serum albumin (BSA). Aminoguanidine and α-lipoic acid were used as standard glycation/oxidation inhibitors.ResultsAgomelatine did not show meaningful scavenging/antioxidant capacity vs. standards. Sugars/aldehydes increased glycation (↑kynurenine, ↑N-formylkynurenine, ↑dityrosine, ↑advanced glycation end products, and ↑β-amyloid) and oxidation (↑protein carbonyls and ↑advanced oxidation protein products) parameters in addition to BSA. Standards restored BSA baselines of glycation and oxidation markers, unlike agomelatine which sometimes even intensifies glycation above BSA + glycators levels. Molecular docking analysis of agomelatine in BSA demonstrated its very weak binding affinity.DiscussionAgomelatine's very low affinity to the BSA could proclaim non-specific bonding and simplify attachment of glycation factors. Thereby, the drug may stimulate brain adaptation to carbonyl/oxidative stress as the systematic review indicates. Moreover, the drug's active metabolites could exert an antiglycoxidative effect.
Case report: Obturator hernia: Diagnosis and surgical treatment
Authors: Li Han , Cao Xuefeng , Kong Lingqun 
Published: April 2023

BackgroundObturator hernia (OH) is a rare external abdominal hernia, accounting for only 0.07%–1% of all hernia cases. Because the female pelvis is wider and there is less preperitoneal adipose tissue, the obturator canal is larger, which can lead to herniation of abdominal contents when abdominal pressure increases in elderly women with thin body. The clinical symptoms of patients with obturator hernia included abdominal pain, nausea, vomiting, etc., and the mass in the inguinal region could not be touched. The positive Howship-Romberg sign is a specific sign of OH. CT is the first choice for the diagnosis of obturator hernia. Since intestinal incarceration in OH patients is prone to lead to intestinal necrosis, emergency surgical treatment is often required. However, due to the lack of specificity of its clinical manifestations, the misdiagnosis rate is high, which often leads to the delay of diagnosis and treatment.MethodsWe report the case of an 86-year-old woman with a thin body and a history of multiple deliveries. The patient presented with abdominal pain, bloating, and constipation for 5 days. Physical examination revealed a positive Howship-Romberg sign on the right side, and CT examination suggested intestinal obstruction. Therefore, an urgent exploratory laparotomy was performed.ResultsAfter opening the abdominal cavity we found that the wall of the ileum was embedded in the right obturator, and the proximal bowel was significantly dilated. We restored the embedded bowel wall to its original position, resected the necrotic bowel and performed an end-to-end anastomosis of the small intestine. The right hernia orifice was sutured, and OH was diagnosed during the operation.ConclusionThis article summarizes the diagnosis and treatment of OH by sharing this case, so as to provide a more detailed plan for early diagnosis and treatment of OH.
The Evaluation of Activity of Selected Lactic Acid Bacteria for Bioconversion of Milk and Whey from Goat Milk to Release Biomolecules with Antibacterial Activity
Authors: Biadała Agata , Szablewski Tomasz , Cegielska-Radziejewska Renata , Lasik-Kurdyś Małgorzata , Adzahan Noranizan Mohd 
Published: April 2023

The aim of the study was to assess the antibacterial features of functional macromolecules released during the fermentation of goat milk and whey from goat milk by selected lactic acid bacteria strains that are components of kefir grain microflora. Two milk sources were used: goat milk and whey from goat milk. The lactic acid bacteria (LAB) and indicator microorganisms used were Lactobacillus plantarum PCM 1386, Lactobacillus fermentum PCM 491, Lactobacillus rhamnosus PCM 2677, Lactobacillus acidophilus PCM 2499, Escherichia coli PCM 2793, Salmonella enteritidis PCM 2548, Micrococcus luteus PCM 525, and Proteus mirabilis PCM 1361. The metabolic activity of LAB was described by the Gompertz model, and the parameters proposed for this experiment were the maximum rate of change of electrical impedance and potential biodegradability. Antibacterial activity was examined using the culture method in a liquid medium, determination of the reduction in indicator microorganisms, and optical density changes. Results show that the selective LAB produced certain active biomolecules with antibacterial activity from whey, a by-product that is sometimes troublesome for goat milk processors to manage. Lactobacillus acidophilus is a microorganism that is characterized by the highest metabolic activity in goat milk and whey from goat milk. It has the possibility to produce macromolecules with antibacterial activity.
SYSTEMATIC LITERATURE REVIEW OF IOT METRICS
Authors: Moulla Donatien Koulla , Mnkandla Ernest , Abran Alain 
Published: April 2023

The Internet of Things (IoT) touches almost every aspect of modern society and has changed the way people live, work, travel and, do business. Because of its importance, it is essential to ensure that an IoT system is performing well, as desired and expected, and that this can be assessed and managed with an adequate set of IoT performance metrics. The aim of this study was to systematically inventory and classifies recent studies that have investigated IoT metrics. We conducted a literature review based on studies published between January 2010 and December 2021 using a set of five research questions (RQs) on the current knowledge bases for IoT metrics. A total of 158 IoT metrics were identified and classified into 12 categories according to the different parts and aspects of an IoT system. To cover the overall performance of an IoT system, the 12 categories were organized into an ontology. The findings results show that the category of network metrics was the most discussed in 43% of the studies and, with the highest number of metrics at 37%. This study can provide guidelines for researchers and practitioners in selecting metrics for IoT systems and valuable insights into areas for improvement and optimization.
Experimental demonstration of offset-induced sensitivity enhancement in SMS-based temperature and strain sensing
Authors: Wang Kun , Mizuno Yosuke , Lee Heeyoung , Dong Xingchen , Kurz Wolfgang , Fink Maximilian , Jakobi Martin , Koch Alexander W. 
Published: April 2023

Abstract
A simple, inexpensive, and high-sensitivity temperature and strain sensor based on a single-mode–multimode–single-mode (SMS) structure with core offset is developed and experimentally characterized. This sensor does not require specialty fibers and can be fabricated using a standard fiber fusion splicer. The dependencies of the temperature and strain sensitivities on the core-offset amplitudes at the input and output single-mode/multimode fiber boundaries are investigated. The results indicate that the maximum temperature and strain sensitivities are two times and eight times higher than those of the standard SMS structure, respectively. The limit of the sensitivity enhancement by core offset is also revealed.
ICD: VHR-oriented interactive change detection algorithm
Authors: Jiang Zhuoran , Zhou Xinxin , Cao Wei , Sun Zaihong , Wu Changbin 
Published: April 2023

<p> In recent years, deep learning has become the mainstream development direction in the change detection field, and its accuracy and speed have also reached a high level. However, the change detection method based on deep learning cannot predict all the change areas accurately, and its application is limited due to local prediction defects. For this reason, we propose an interactive change detection network (ICD) for very high resolution (VHR) based on a deep convolution neural network. The network integrates positive and negative click information in the distance layer of the change detection network, and users can correct the prediction defects by adding clicks. We carried out experiments on the open source dataset WHU and LEVIR-CD. By adding clicks, their F1-scores can reach 0.920 and 0.912, respectively, which are 4.3% and 4.2% higher than the original network. To better evaluate the correction ability of clicks, we propose a set of evaluation index—click correction ranges, which is suitable for evaluating clicks, and we carry out experiments on the above models. The results show that the method of adding clicks can effectively correct the prediction defects and improve the result accuracy. </p>
A Slip Detection Algorithm for Rectilinear and Rotational Movements using the PapillArray Tactile Sensor
Authors: Martinez Ulloa Pablo , Bulens David Córdova , Redmond Stephen J. 
Published: April 2023

<p>During dexterous manipulation, it is of the utmost importance to avoid dropping the object. It is believed that humans can promptly discern slip and consequently modify grip forces to prevent complete loss of grasp. This paper analyzes and validates two incipient slip detection methods using force and displacement signals from the PapillArray tactile sensor, detecting slip on some of the sensors’ pillars before gross slip occurs. A major contribution of this paper is the development of a novel algorithm that can detect slip caused by either translational or rotational movement of the object relative to the sensor, where previous algorithms were not designed to work for slip caused by rotation. Slip events were independently verified using external camera tracking and subsequently used to evaluate slip detection algorithms operating solely on the PapillArray force and displacement signals. Several algorithm parameters influencing algorithm performance were explored with the goal of optimizing slip detection accuracy. The new algorithm, which can also detect slip for rotational tests, was successful in recognizing slip occurrences using PapillArray data (precision of 85% and recall of 90%), and in detecting incipient slip before gross slip occurs across a range of velocities of translational and rotational movements. Future work will test the algorithms' effectiveness in real-world object manipulation.</p>
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<p>Dataset can be found at:</p>
<p> <a href="https://bitbucket.org/BiomedicalSignalsSensorsUCD/dataset-for-slip-detection" target="_blank">https://bitbucket.org/BiomedicalSignalsSensorsUCD/dataset-for-slip-detection</a><br>
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An 8-Channel Ambulatory EEG Recording IC with In-Channel Fully-Analog Real-Time Motion Artifact Extraction and Removal
Authors: Dabbaghian Alireza , Kassiri Hossein 
Published: April 2023

<p>Abstract—We report the design, implementation, and experimental characterization of an 8-channel EEG recording IC (0.13μm CMOS, 12mm2 total area) with a channel architecture that conducts both the extraction and removal of motion artifacts on-chip and in-channel. The proposed dual-path feed-forward method for artifact extraction and removal is implemented in the analog domain, hence is needless of a DSP unit for artifact estimation, and its associated high-DR ADCs and DACs employed by the state of the art for artifact replica generation. Additionally, the presented architecture improves system’s scalability as it enables channels’ stand-alone operation, and yields the lowest reported channel power consumption among works featuring motion artifact detection/removal. </p>
<p>Following an experimental study on electrode-skin interface electrical characteristics for dry electrodes in the absence and presence of motions, the paper presents the channel architecture, its detailed signal transfer function analysis, circuitlevel implementation, and experimental characterization results. Our measurement results show an amplification voltage gain of 48.3dB, a bandwidth of 300Hz, rail-to-rail input DC offset tolerance, and 41.5dB artifact suppression, while consuming 55μW per channel. The system’s efficacy in EEG motion artifact suppression is validated experimentally, and system-and circuitlevel features and performance metrics of the presented design are compared with the state of the art.</p>
Ethical Issues and Challenges in Social Media: A Current Scenario
Authors: Dhiman Dr. Bharat 
Published: April 2023

<p>Social media has revolutionized the way we communicate and interact with each other. While it has brought many benefits, it has also presented many ethical challenges. Social media platforms have access to an enormous amount of personal data, and there are concerns about how this data is being stored, collected, and used. Users often need to fully understand the risks of sharing sensitive information. Social media platforms have made it easy for fake news to spread rapidly, which can be dangerous and have serious consequences. Misinformation and propaganda can influence people's decisions and beliefs. In this paper, we will analyze the issues and challenges that may arise, and it will be necessary for individuals and society to address these challenges ethically and responsibly. </p>
Políticas de ciencia, tecnología y desarrollo, ciclos neoliberales y procesos de des-aprendizaje en América Latina
Authors: Hurtado Diego , Zubeldía Lautaro 
Published: April 2023

A finales de los años sesenta surge en América Latina el “pensamiento latinoamericano en ciencia, tecnología y desarrollo”. Esta agenda es clausurada por la llegada del proyecto de globalización neoliberal a la región y el inicio de procesos de desindustrialización, financierización y endeudamiento. Analizamos la operación ideológica neoliberal que difundió un nuevo paradigma político-epistemológico, que estuvo basado en: (i) la privatización y mercantilización del conocimiento; (ii) la deshistorización y homogeneización de las periferias como estrategia para la producción de diagnósticos y soluciones genéricas (o “recetas”); y (iii) la difusión de categorías ajenas a los procesos de desarrollo socioeconómico de los países de la región. Estas transformaciones impactaron en la forma de procesos de desaprendizaje en las universidades y las instituciones públicas de I+D, que fueron campo de batalla en esta disputa.
Experimental Investigation and Modeling of a Nanoparticle-Based Foam: Core Scale Performance for Enhanced Oil Recovery
Authors: Ahmadi Khashayar , Akrong Dorcas Annung , Sripal Edison Amirtharaj , Sahari Moghaddam Farzan , Ovwigho Ejiro Kenneth , Esene Cleverson , Machale Jinesh , Telmadarreie Ali , James Lesley Anne 
Published: April 2023

Abstract
Nanoparticle-based foam shows promise to enhance oil recovery; however, there is limited experimental investigation on the influence of injection sequence on recovery. The objective of the present study is to systematically compare the injection sequence of SiO2 nanoparticle-based foam, viz, brine-gas-foam-gas (N2) and brine-foam-brine, using core flooding experimental and simulation analyses. Relative permeability endpoints and Corey exponents are found by history matching the experimental production data using a commercial software. To match foam parameters and assess recovery considering underlying physics a software was used. Three coreflooding experiments using a novel nanoparticle-based foam were conducted on two unaged and one aged sandstone cores to investigate two injection sequences (i.e., water (brine)-gas-foam-gas and water-foam-water) at reservoir conditions. The stability and solubility of the nanofoam were studied in high-pressure and high-temperature interfacial tension experiments.
Experimental results indicate that the water (brine)-gas-foam-gas sequence results in higher recovery at core scale with a 13.2% increase in recovery after foam injection and total recovery of 80.2% after respective injections of 2.0, 1.8, 1.2 and 0.5 PV of water-gas-foam-gas. The water-foam-water sequence results in a 4.4% increase in recovery after foam injection and total recovery of 61.6% after respective injections of 0.9, 2.9 and 2 PVs in water-wet core and a 6.6% increase after foam injection and total recovery of 73.3% after respective injections of 1.2, 0.6, and 0.6 PV (brine-foam-brine) in an oil-wet core. Increased oil recovery in all experiments ranged from 6.6 to 30.6%.
Unlike previous studies, we investigate different nanofoam injection sequences in different wetting condition (aged/unaged cores). A limited number of studies for nanofoam on highly permeable sandstones (500–750 mD) have been reported. Results of this study show that the generated nanoparticle-based foam can be used to favorably control mobility and enhance oil recovery. The numerical simulation efforts led to several critical learnings on the physics of incremental oil recovery from dry-out effects of the foam, as well as the limitations of current commercial simulators in properly replicating the entire physics.
Intelligent Wireline Formation Tester Evaluation of Low-Permeability and Low-Resistivity-Contrast Formation
Authors: Wang Xiannan , Wang Jian , Guan Lijun , Gao Bei , Gisolf Adriaan , Fan Zhaoya , Partouche Ashers , Gu Yuyang , Liu Jian , Chen Li , Zhang Wei 
Published: April 2023

Abstract
Exploration and development drilling in offshore China is extending to Paleogene formations that are characterized by low-resistivity-contrast and low-permeability rocks. These formations have become a focus for increasing reserves and production. During exploration activities, these low-resistivity, low-formation-contrast formations have been critical and challenging for formation evaluation because the geological structure and lithology are more complex than in previously discovered fields. Differentiating hydrocarbon from water using petrophysical interpretation has a large uncertainty in these formations. Confirming the fluid type using conventional formation testing technology has been extremely challenging because the produced fluid is mainly mud filtrate, which is no use for fluid confirmation.
A new-generation intelligent wireline formation testing platform consisting of a focused radial probe inlet and a dual flowline with dual downhole pumps to enable flexible focused sampling was applied to three appraisal wells in offshore China. Given the larger flow area of the probe system, flow tests could be conducted in as low as 0.004-md/cP mobility zones (the tightest on record), and fluid identification could be performed in-situ while the fluid flowed through a group of sensors. Previous formation testing in these formations had been challenged because the water-based mud system caused suspension of solid particles (debris and mud solids). Filter and standoff accessories available with the intelligent wireline formation platform enabled designing a fit-for-purpose approach to overcome this challenge in a short time.
This dedicated design resulted in increased efficiency in water sampling compared to previous testing done by the operator. Clean water resistivity, measured in situ, can now be applied to this new exploration block to recalculate the water saturation for reserve estimation. Whereas previous gas-water transition zone sampling was challenging because high water-based mud filtrate fractions masked the presence of formation water and formation hydrocarbon, the radial probe, combined with state-of-the-art resistivity measurements, allowed identification of gas and the measurement of formation water resistivity in a multiphase flow environment. The formation testing of these low-resistivity-contrast and low-permeability formations enabled acquisition of a 2% contaminated formation water sample in 140 minutes with formation mobility of 1 md/cP. The gas-water zone was confirmed from a dual flowline resistivity measurement and a hydrocarbon show in mobility of 1.4 md/cP.