bluuebunny/crossref_metadata_2025_split huggingface dataset:
The implementation of conscious sedation by dental professionals in Egypt: an analytical cross-sectional study
Authors: Elfezary Mohamed Taha , Moteea Mohamed Elsayed , Abu Samadah Mohammed Said , Waly Ahmed S 
Published: July 2024

AbstractConscious sedation is widely considered one of the techniques most commonly used to manage anxiety in both children and adults during dental procedures. The application of procedural sedation exhibits considerable variation globally. The purpose of the study was to determine the prevalence of conscious sedation in the current situation in the dental healthcare sector in Egypt and to identify the factors influencing it. An online cross-sectional analytical survey, consisting of nine multiple choice questions, was distributed through the contact lists of national dentists and social media platforms. 163 respondents completed the survey. Regarding the use of conscious sedation, only 25 (15.3%),95% confidence interval (10–21) utilized it. The percentage of participants who used conscious sedation was higher among dentists practicing pediatric dental specialists (n = 19, 76%). Academic qualification correlates significantly with the practice of conscious sedation (P = 0.002), but this was not reflected in multiple logistic regression. Indeed, while conscious sedation is part of the dental study curriculum in Egypt, its application rate is relatively low compared to other countries. This discrepancy could be attributed to a variety of factors, including resource availability, lack of training, reflecting the need to develop strategies to improve the implementation of conscious sedation in Egyptian dental practices.
Finite element models with automatic computed tomography bone segmentation for failure load computation
Authors: Saillard Emile , Gardegaront Marc , Levillain Aurélie , Bermond François , Mitton David , Pialat Jean-Baptiste , Confavreux Cyrille , Grenier Thomas , Follet Hélène 
Published: July 2024

AbstractBone segmentation is an important step to perform biomechanical failure load simulations on in-vivo CT data of patients with bone metastasis, as it is a mandatory operation to obtain meshes needed for numerical simulations. Segmentation can be a tedious and time consuming task when done manually, and expert segmentations are subject to intra- and inter-operator variability. Deep learning methods are increasingly employed to automatically carry out image segmentation tasks. These networks usually need to be trained on a large image dataset along with the manual segmentations to maximize generalization to new images, but it is not always possible to have access to a multitude of CT-scans with the associated ground truth. It then becomes necessary to use training techniques to make the best use of the limited available data. In this paper, we propose a dedicated pipeline of preprocessing, deep learning based segmentation method and post-processing for in-vivo human femurs and vertebrae segmentation from CT-scans volumes. We experimented with three U-Net architectures and showed that out-of-the-box models enable automatic and high-quality volume segmentation if carefully trained. We compared the failure load simulation results obtained on femurs and vertebrae using either automatic or manual segmentations and studied the sensitivity of the simulations on small variations of the automatic segmentation. The failure loads obtained using automatic segmentations were comparable to those obtained using manual expert segmentations for all the femurs and vertebrae tested, demonstrating the effectiveness of the automated segmentation approach for failure load simulations.
Prospective environmental burdens and benefits of fast-swing direct air carbon capture and storage
Authors: Ottenbros Anne B. , van Zelm Rosalie , Simons Jasper , van der Hulst Mitchell K. , de Kleijne Kiane , de Neve Hans , Huijbregts Mark A. J. 
Published: July 2024

AbstractDirect air capture (DAC) in combination with storage of CO2 can lower atmospheric CO2 concentrations. This study investigates the environmental impact of a new fast-swing solid sorbent DAC system, including CO2 transport and storage, over its life cycle, using prospective life cycle assessment. This DAC technology is currently on technology readiness level 5 and is expected to operate on an industrial scale by 2030. The technology was upscaled to the industrial scale and future changes in the background over the lifetime of the system were included, such as electricity grid mix decarbonization. Environmental trade-offs for the new DAC system were assessed by comparing environmental benefits from CO2 sequestration with environmental burdens from production, operation and decommissioning. We considered three electricity generation configurations: grid-connected, wind-connected, and a hybrid configuration. We found net environmental benefits for all configurations and background scenarios for ecosystem damage and climate change. Net human health benefits were observed when the electricity grid decarbonizes quickly and without the use of a battery. The environmental benefits increase with decreasing electricity footprint and are comparable with other DAC technologies. This illustrates that the new DAC system can help to meet the climate goals.
Variable-stiffness prosthesis improves biomechanics of walking across speeds compared to a passive device
Authors: Rogers-Bradley Emily , Yeon Seong Ho , Landis Christian , Lee Duncan R. C. , Herr Hugh M. 
Published: July 2024

AbstractAnkle push-off power plays an important role in healthy walking, contributing to center-of-mass acceleration, swing leg dynamics, and accounting for 45% of total leg power. The majority of existing passive energy storage and return prostheses for people with below-knee (transtibial) amputation are stiffer than the biological ankle, particularly at slower walking speeds. Additionally, passive devices provide insufficient levels of energy return and push-off power, negatively impacting biomechanics of gait. Here, we present a clinical study evaluating the kinematics and kinetics of walking with a microprocessor-controlled, variable-stiffness ankle-foot prosthesis (945 g) compared to a standard low-mass passive prosthesis (Ottobock Taleo, 463 g) with 7 study participants having unilateral transtibial amputation. By modulating prosthesis stiffness under computer control across walking speeds, we demonstrate that there exists a stiffness that increases prosthetic-side energy return, peak power, and center-of-mass push-off work, and decreases contralateral limb peak ground reaction force compared to the standard passive prosthesis across all evaluated walking speeds. We demonstrate a significant increase in center-of-mass push-off work of 26.1%, 26.2%, 29.6% and 29.9% at 0.75 m/s, 1.0 m/s, 1.25 m/s, and 1.5 m/s, respectively, and a significant decrease in contralateral limb ground reaction force of 3.1%, 3.9%, and 3.2% at 1.0 m/s, 1.25 m/s, and 1.5 m/s, respectively. This study demonstrates the potential for a quasi-passive microprocessor-controlled variable-stiffness prosthesis to increase push-off power and energy return during gait at a range of walking speeds compared to a passive device of a fixed stiffness.
Distribution of control during bimanual movement and stabilization
Authors: Takagi Atsushi , Kashino Makio 
Published: July 2024

AbstractIn two-handed actions like baseball batting, the brain can allocate the control to each arm in an infinite number of ways. According to hemispheric specialization theory, the dominant hemisphere is adept at ballistic control, while the non-dominant hemisphere is specialized at postural stabilization, so the brain should divide the control between the arms according to their respective specialization. Here, we tested this prediction by examining how the brain shares the control between the dominant and non-dominant arms during bimanual reaching and postural stabilization. Participants reached with both hands, which were tied together by a stiff virtual spring, to a target surrounded by an unstable repulsive force field. If the brain exploits each hemisphere’s specialization, then the dominant arm should be responsible for acceleration early in the movement, and the non-dominant arm will be the prime actor at the end when holding steady against the force field. The power grasp force, which signifies the postural stability of each arm, peaked at movement termination but was equally large in both arms. Furthermore, the brain predominantly used the arm that could use the stronger flexor muscles to mainly accelerate the movement. These results point to the brain flexibly allocating the control to each arm according to the task goal without adhering to a strict specialization scheme.
Risk factors associated with the severity of overactive bladder among Syrian patients with type 2 diabetes
Authors: Khadour Fater A. , Khadour Younes A. , Alhatem Weaam , Al Barroush Deema 
Published: July 2024

AbstractThe prevalence of overactive bladder (OAB) is known to be higher in patients with type 2 diabetes (T2DM). However, few studies have examined specific risk factors contributing to its progression among diabetes mellitus (DM) patients, so this study aimed to investigate the risk factors specific to diabetes mellitus that influence overactive bladder in the Syrian population. This cross-sectional study was conducted at four endocrinology centers in four Syrian provinces: Damascus, Aleppo, Homs, Hama, and Latakia. The study was comprised of patients who had been diagnosed with both T2DM and OAB and had visited these centers from February 2020 to January 2023. The Arabic version of the Overactive Bladder Symptom Score (OABSS) scale was used to categorize the participants based on the severity score into two groups: the mild OAB group and the moderate-severe OAB group. A logistic analysis was conducted to assess the risk factors associated with the OAB among patients with diabetes. Among the 153 patients diagnosed with both DM and OAB, significant distinctions were found between the two groups concerning the severity of overactive bladder, age, duration of diabetes, symptomatic diabetic peripheral neuropathy (DPN), and ankle reflex (P < 0.05). Furthermore, a multivariate analysis revealed that age (OR 1.48, 95% CI 0.89–2.19), duration of diabetes (OR 1.94, 95% CI 0.53–2.23), and symptomatic DPN (OR 2.74, 95% CI 1.39–4.13) independently acted as risk factors for the advancement of OAB. The severity of OAB in Syrian patients with diabetes is closely associated with the severity of DM. Factors such as age, duration of diabetes, and symptomatic DPN are independent predictors of the severity of OAB. Patients who experience symptomatic DPN are at an increased risk of developing OAB.
Observation of a moderate major Baltic Sea inflow in December 2023
Authors: Purkiani Kaveh , Jochumsen Kerstin , Fischer Jens-Georg 
Published: July 2024

AbstractJust before Christmas 2023, the low-pressure system storm “Zoltan” struck Germany, resulting in widespread damage and two consecutive large storm surges on the North Sea coast in the night from Thursday 21 December 2023 to Friday 22 December 2023. Storm Zoltan brought heavy rainfall, accompanied by thunderstorms and winds ranging between 90 and 115 $$\mathrm {km\,h^{-1}}$$

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, with gusts reaching up to 140 $$\mathrm {km\,h^{-1}}$$

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along the coast which caused severe damage, particularly in northern Germany. Characteristics of the inflowing water at the Fehmarn Belt buoy (FEB), Darss Sill station (DAR) and the Arkona Basin buoy (ARK), including salinity, temperature, dissolved oxygen and ocean currents properties, were analysed to understand the impact of storm Zoltan in the western Baltic Sea. In addition to the damage along its path, following the onset of strong westerly winds associated with storm Zoltan, a large volume of water, containing saline (17–22 psu), cold (5–6 °C), and oxygen-rich 7–8 ($$\,\mathrm { ml\,l^{-1}}$$

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) water from the Kattegat and the North Sea reached into the western Baltic Sea. The sea level at Landsort Norra increased by +57 cm over a period of 14 days, from 15 December to 29 December 2023. This resulted in a total volume change of 198 $$\mathrm {km^3}$$

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in the entire Baltic Sea, with 169 $$\mathrm {km^3}$$

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and 29 $$\mathrm {km^3}$$

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provided via the Belt Sea and the Sound Sea, respectively. Observations at the DAR indicated a significant inflow between 19 December 2023 and 1 January 2024 with salinity above 13 psu, temperature below 5.5 °C and dissolved oxygen of about 7.5–8 $$\mathrm { ml\,l^{-1}}$$

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. While the maximum salinity of the bottom layer at the DAR was about 17 psu, the ARK exhibited significantly higher salinities, reaching up to 22 psu at the bottom layer. During the main inflow period, 75 $$\mathrm {km^3}$$

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of highly saline water entered the western Baltic Sea. This corresponds to an average salt transport of 1.75 Gt into the western Baltic Sea (1.39 Gt from the Belt Sea and 0.36 Gt from the Sound Sea), representing more than 20% of the total annual salt import into the Baltic Sea), which places the event in the moderate range of major Baltic inflows. This event brought an amount of about 0.8 $$\mathrm {10^6}$$

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t oxygen into the Baltic Sea. This was the strongest inflow into the Baltic Sea since 2016.
Controlling glycolysis to generate characteristic volatile organic compounds of lung cancer cells
Authors: Chu Yajing , Ge Dianlong , Zhou Jijuan , Liu Yue , Zheng Xiangxue , Liu Wenting , Ke Li , Lu Yan , Chu Yannan 
Published: July 2024

AbstractCharacteristic volatile organic compounds (VOCs) are anticipated to be used for the identification of lung cancer cells. However, to date, consistent biomarkers of VOCs in lung cancer cells have not been obtained through direct comparison between cancer and healthy groups. In this study, we regulated the glycolysis, a common metabolic process in cancer cells, and employed solid phase microextraction gas chromatography mass spectrometry (SPME–GC–MS) combined with untargeted analysis to identify the characteristic VOCs shared by cancer cells. The VOCs released by three types of lung cancer cells (A549, PC-9, NCI-H460) and one normal lung epithelial cell (BEAS-2B) were detected using SPME–GC–MS, both in their resting state and after treatment with glycolysis inhibitors (2-Deoxy-d-glucose, 2-DG/3-Bromopyruvic acid, 3-BrPA). Untargeted analysis methods were employed to compare the VOC profiles between each type of cancer cell and normal cells before and after glycolysis regulation. Our findings revealed that compared to normal cells, the three types of lung cancer cells exhibited three common differential VOCs in their resting state: ethyl propionate, acetoin, and 3-decen-5-one. Furthermore, under glycolysis control, a single common differential VOC—acetoin was identified. Notably, acetoin levels increased by 2.60–3.29-fold in all three lung cancer cell lines upon the application of glycolysis inhibitors while remaining relatively stable in normal cells. To further elucidate the formation mechanism of acetoin, we investigated its production by blocking glutaminolysis. This interdisciplinary approach combining metabolic biochemistry with MS analysis through interventional synthetic VOCs holds great potential for revolutionizing the identification of lung cancer cells and paving the way for novel cytological examination techniques.
Brain activity changes after high/low frequency stimulation in a nonhuman primate model of central post-stroke pain
Authors: Nagasaka Kazuaki , Higo Noriyuki 
Published: July 2024

AbstractCentral post-stroke pain (CPSP) is a chronic pain resulting from a lesion in somatosensory pathways. Neuromodulation techniques, such as repetitive transcranial magnetic stimulation (rTMS) that target the primary motor cortex (M1), have shown promise for the treatment of CPSP. High-frequency (Hf) rTMS exhibits analgesic effects compared to low-frequency (Lf) rTMS; however, its analgesic mechanism is unknown. We aimed to elucidate the mechanism of rTMS-induced analgesia by evaluating alterations of tactile functional magnetic resonance imaging (fMRI) due to Hf- and Lf-rTMS in a CPSP monkey model. Consistent with the patient findings, the monkeys showed an increase in pain threshold after Hf-rTMS, which indicated an analgesic effect. However, no change after Lf-rTMS was observed. Compared to Lf-rTMS, Hf-rTMS produced enhanced tactile-evoked fMRI signals not only in M1 but also in somatosensory processing regions, such as the primary somatosensory and midcingulate cortices. However, the secondary somatosensory cortex (S2) was less active after Hf-rTMS than after Lf-rTMS, suggesting that activation of this region was involved in CPSP. Previous studies showed pharmacological inhibition of S2 reduces CPSP-related behaviors, and the present results emphasize the involvement of an S2 inhibitory system in rTMS-induced analgesia. Verification using the monkey model is important to elucidate the inhibition system.
Effectiveness of extracorporeal shock wave therapy on functional ability in grade IV knee osteoarthritis – a randomized controlled trial
Authors: CP Arshed , Jayaraman Kavitha , Babkair Reem Abdullah , Nuhmani Shibili , Nawed Alvina , Khan Masood , Alghadir Ahmad H. 
Published: July 2024

AbstractExtracorporeal shockwave therapy (ESWT) is a non-invasive physical therapy intervention that has emerged in the recent past to address the upswing of osteoarthritis (OA). However, insufficient evidence is present to prove the efficacy of ESWT on grade IV knee osteoarthritis (KOA). The present study aimed to examine the effects of ESWT on functional ability in patients suffering from grade IV KOA. Thirty volunteers aged 45–60 years with grade IV primary KOA diagnosed by an orthopaedic surgeon based on the Kellgren-Lawrence score participated in the study. The participants were equally and randomly divided into two groups (i.e. experimental and control), with 15 participants in each group. The participants in the control group performed conventional physiotherapy (CPT) that included ultrasound therapy, isometric quadriceps, SLR and isometric hip adductor strengthening exercises. The participants in the experimental group received ESWT in addition to CPT. Lower extremity functional scale (LEFS) score was measured before and after the four weeks of intervention. In both groups, a statistically significant (p = 0.001) improvement in LEFS was observed. In the experimental groups, it improved by 81.92% and in the control groups by 48.15%. A statistically significant (p < 0.001) difference was observed in LEFS post-intervention values between both groups. As demonstrated by our trial results, the addition of ESWT to the CPT program will yield beneficial results in ameliorating the functional disability in patients with primary KOA (grade IV). Further studies are needed to confirm and apply these findings to a larger cohort.
Development of a first-in-class antibody and a specific assay for α-1,6-fucosylated prostate-specific antigen
Authors: Halldórsson Steinar , Hillringhaus Lars , Hojer Caroline , Muranyi Andrea , Schraeml Michael , Lange Magdalena Swiatek-de , Tabarés Gloria 
Published: July 2024

AbstractProstate-specific antigen (PSA) levels are widely used to screen for prostate cancer, yet the test has poor sensitivity, specificity and predictive value, which leads to overdiagnosis and overtreatment. Alterations in the glycosylation status of PSA, including fucosylation, may offer scope for an improved biomarker. We sought to generate a monoclonal antibody (mAb) targeting α-1,6-fucosylated PSA (fuc-PSA) and to develop a tissue-based immunological assay for fuc-PSA detection. Immunogens representing fuc-PSA were used for immunisation and resultant mAbs were extensively characterised. The mAbs reacted specifically with fuc-PSA-specific glycopeptide, but not with aglycosylated PSA or glycan without the PSA peptide. Reactivity was confirmed using high-throughput surface plasmon resonance spectroscopy. X-ray crystallography investigations showed that the mAbs bound to an α-helical form of the peptide, whereas the native PSA epitope is linear. Protein unfolding was required for detection of fuc-PSA in patient samples. Peptide inhibition of fuc-PSA mAbs was observed with positive screening reagents, and target epitope specificity was observed in formalin-fixed, paraffin-embedded tissue samples. This research introduces a well-characterised, first-in-class antibody targeting fuc-PSA and presents the first crystal structure of an antibody demonstrating glycosylation-specific binding to a peptide.
Insights into two-phase flow dynamics in closed-loop pulsating heat pipes utilizing Fe3O4/water: experimental visualization study
Authors: Goshayeshi Hamid Reza , Mousavi Seyed Borhan , Heris Saeed Zeinali , Chaer Issa 
Published: July 2024

AbstractThis article discusses a focused study on visualizing the flow patterns in a two-phase pulsating heat pipe (PHP) using Fe3O4/water as the working fluid at 3 V/V% concentration. The research also aims to meticulously examine phase change phenomena in the heating section, particularly focusing on bubble formation and expansion processes. A high-speed video camera was utilized to capture dynamic insights into the behavior of the Fe3O4/water mixture. Based on the findings, a straightforward model was developed to explain bubble generation and growth in the mixture, serving as a useful reference for future PHP designs and optimizations. Visual observations also noted the stable nature of the Fe3O4/water nanofluid over a 4-day period, confirming its consistency throughout the experiments. Moreover, the impact of heat load variation on the evaporator section was assessed using controlled heat inputs ranging from 10 to 80 W. Observations on the arrangement of slugs and plugs at a 50% filling ratio revealed interesting self-adjusting flow patterns in response to increasing heat inputs, providing valuable insights into PHP operational dynamics. Notably, the oscillatory flow behavior of Fe3O4/water, the chosen working fluid, exhibited greater activity in comparison to water. This distinctive flow behavior contributed to achieving heightened thermal performance efficiency for the Fe3O4/water system, attributed to its faster attainment of the annular flow condition.
High-throughput screening for cell binding and repulsion peptides on multifunctionalized surfaces
Authors: Sonnentag Steffen J. , Jenne Felix , Orian-Rousseau Véronique , Nesterov-Mueller Alexander 
Published: July 2024

AbstractThe adhesion of cells to the extracellular matrix engages cell surface receptors such as integrins, proteoglycans and other types of cell adhesion molecules such as CD44. To closely examine the determinants of cell adhesion, herein we describe the generation of high-density peptide arrays and test the growth of cells on these multifunctionalized surfaces. The peptide library used consists of over 11,000 different sequences, either random or derived from existing proteins. By applying this screen to SW620 mCherry colorectal cancer cells, we select for peptides with both maximum cell adhesion and maximum cell repulsion. All of these extreme properties are based on unique combinations of amino acids. Here, we identify peptides with maximum cell repulsion on secreted frizzled- and Dickkopf-related proteins. Peptides with strong cell repulsion are found at the poles of the TNF-alpha homotrimer. The formation of cellular patterns on alternating highly repulsive and adhesive peptides are examined. Our screen allows the identification of peptides suitable for biomedical and tissue engineering applications.