bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cerebral emboli detection and autonomous neuromonitoring using robotic transcranial Doppler with artificial intelligence for transcatheter aortic valve replacement with and without embolic protection devices: a pilot study
Authors: Baig Ammad A , Manion Christopher , Khawar Wasiq I , Donnelly Brianna M , Raygor Kunal , Turner Ryan , Holmes David R , Iyer Vijay S , Hopkins L Nelson , Davies Jason M , Levy Elad I , Siddiqui Adnan H 
Published: November 2023

BackgroundPeriprocedural ischemic stroke remains a serious complication in patients undergoing transcatheter aortic valve replacement (TAVR). We used a novel robotic transcranial Doppler (TCD) system equipped with artificial intelligence (AI) for real-time continuous intraoperative neuromonitoring during TAVR to establish the safety and potential validity of this tool in detecting cerebral emboli, report the quantity and distribution of high intensity transient signals (HITS) with and without cerebral protection, and correlate HITS occurrence with various procedural steps.MethodsConsecutive patients undergoing TAVR procedures during which the robotic system was used between October 2021 and May 2022 were prospectively enrolled in this pilot study. The robotic TCD system included autonomous adjustment of the TCD probes and AI-assisted post-processing of HITS and other cerebral flow parameters. Basic demographics and procedural details were recorded. Continuous variables were analyzed by a two-sample Mann–Whitney t-test and categorical variables by a χ2or Fisher test.ResultsThirty-one patients were prospectively enrolled (mean age 79.9±7.6 years; 16 men (51.6%)). Mean aortic valve stenotic area was 0.7 cm2and mean aortic–ventricular gradient was 43 mmHg (IQR 31.5–50 mmHg). Cerebral protection was used in 16 cases (51.6%). Significantly fewer emboli were observed in the protection group than in the non-protection group (mean 470.38 vs 693.33; p=0.01). Emboli counts during valve positioning and implantation were significantly different in the protection and non-protection groups (mean 249.92 and 387.5, respectively; p=0.01). One (4%) transient ischemic attack occurred post-procedurally in the non-protection group.ConclusionWe describe a novel real-time intraoperative neuromonitoring tool used in patients undergoing TAVR. Significantly fewer HITS were detected with protection. Valve positioning–implantation was the most significant stage for intraprocedural HITS.
Is low-volume high-intensity interval training a time-efficient strategy to improve cardiometabolic health and body composition? A meta-analysis
Authors: Yin Mingyue , Li Hansen , Bai Mingyang , Liu Hengxian , Chen Zhili , Deng Jianfeng , Deng Shengji , Meng Chuan , Vollaard Niels B. J. , Little Jonathan P. , Li Yongming 
Published: November 2023

The present meta-analysis aimed to assess the effects of low-volume high-intensity interval training (LV-HIIT; i.e., ≤5 min high-intensity exercise within a ≤15 min session) on cardiometabolic health and body composition. A systematic search was performed in accordance with PRISMA guidelines to assess the effect of LV-HIIT on cardiometabolic health and body composition. Twenty-one studies (moderate to high quality) with a total of 849 participants were included in this meta-analysis. LV-HIIT increased cardiorespiratory fitness (CRF, SMD = 1.19 [0.87, 1.50]) while lowering systolic blood pressure (SMD = −1.44 [−1.68, −1.20]), diastolic blood pressure (SMD = −1.51 [−1.75, −1.27]), mean arterial pressure (SMD = −1.55 [−1.80, −1.30]), MetS z-score (SMD = −0.76 [−1.02, −0.49]), fat mass (kg) (SMD = −0.22 [−0.44, 0.00]), fat mass (%) (SMD = −0.22 [−0.41, −0.02]), and waist circumference (SMD = −0.53 [−0.75, −0.31]) compared to untrained control (CONTROL). Despite a total time-commitment of LV-HIIT of only 14%–47% and 45%–94% compared to moderate-intensity continuous training and HV-HIIT, respectively, there were no statistically significant differences observed for any outcomes in comparisons between LV-HIIT and moderate-intensity continuous training (MICT) or high-volume HIIT. Significant inverse dose–responses were observed between the change in CRF with LV-HIIT and sprint repetitions ( β = −0.52 [−0.76, −0.28]), high-intensity duration ( β = −0.21 [−0.39, −0.02]), and total duration ( β = −0.19 [−0.36, −0.02]), while higher intensity significantly improved CRF gains. LV-HIIT can improve cardiometabolic health and body composition and represent a time-efficient alternative to MICT and HV-HIIT. Performing LV-HIIT at a higher intensity drives higher CRF gains. More repetitions, longer time at high intensity, and total session duration did not augment gains in CRF.
A solvable walking model for a two-legged robot
Authors: Dilão Rui , Teixeira Nuno 
Published: November 2023

AbstractWe present a solvable biped walking model based on an inverted pendulum with two massless articulated legs capable of walking on uneven floors and inclined planes. The stride of the two-legged robot results from the pendular motion of a standing leg and the articulated motion of a trailing leg. Gaiting is possible due to the pendular motion conservation of energy and the alternating role of the legs, the standing and the trailing leg. The motion on uneven surfaces and inclined planes is possible by imposing the same maximal opening angle between the two legs in the transition between strides and the adaptability of the time of each stride. This model is solvable in closed form and is reversible in time, modelling the different types of biped motion. Several optimisation results for the speed of gaiting as a function of the robot parameters have been derived.
Socioeconomic Drivers of Land Use and Land Cover Change in Western Ethiopia
Authors: Bekere Jembere , Senbeta Feyera , Gelaw Abren 
Published: November 2023

A variety of socioeconomic and environmental drivers have contributed to changes in LULC around the world in recent years. This study examines the socioeconomic drivers that accelerated LULC in western Ethiopia. The data were generated from terrestrial satellite images primary and secondary sources. Primary data sources include household surveys, field observations, group discussions, interviews, key informants, and interpreting remote sensing data. Secondary data were reviewed mainly from relevant literature both published and unpublished materials. Landsat images were classified using the supervised classification technique and maximum likelihood classifier using arc GIS 10.3 to create LULC maps of the study area. Accuracy score and kappa coefficient were used to confirm the accuracy of the classified LULC, and agricultural land, settlement, bare land, forest land, and water body were the main LULC classes in the district. Forest cover in three decades (1990–2020) in the study area decreased from 12.1% in 1990 to 2.6% in 2020. The data were also analyzed using a descriptive model, Pearson correlation, and binary logistic regression. The independent variables (age and gender) show a Pearson’s positive correlation with the drivers of LULC dynamics; that is, as these independent variables increase, the drivers of LULC dynamics also increase, whereas educational status and land holding size show a negative correlation. This shows that the drivers of the anthropogenic forces of LULC dynamics decreased as the number of educated populations and the size of land holdings increased, and vice versa. Then, the binary logistic regression model examined the relationship between the dependent and the major socioeconomic (independent) variables. Logistic regression was performed to determine how independent variables and the drivers of LULC (natural forces or anthropogenic forces) change and the model was statistically significant (x2 = 23.971, df = 5,

P

< 0.001). The model explained 13.9% (Nagelkerke R2) of the variance in the drivers of LULC dynamics and correctly classified 66.1% of the cases. The study found that age, gender, and educational status largely determine the drivers of LULC dynamics and have the greatest chance of determining the anthropogenic forces. Therefore, relevant stakeholders should take integrated measures to reduce the drivers of LULC dynamics through landscape restoration.
Paclitaxel plus Eftilagimod Alpha, a Soluble LAG-3 Protein, in Metastatic, HR+ Breast Cancer: Results from AIPAC, a Randomized, Placebo Controlled Phase IIb Trial
Authors: Wildiers Hans , Armstrong Anne , Cuypere Eveline , Dalenc Florence , Dirix Luc , Chan Steve , Marme Frederik , Schröder Carolina P. , Huober Jens , Duhoux Francois P. , Vuylsteke Peter , Jager Agnes , Brain Etienne , Kuemmel Sherko , Pápai Zsuzsanna , Menke-van der Houven van Oordt Catharina Willemien , Perjesi Luca , Mueller Christian , Brignone Chrystelle , Triebel Frederic 
Published: November 2023

Abstract

Purpose:
Eftilagimod alpha (efti), a soluble lymphocyte activation gene (LAG-3) protein and MHC class II agonist, enhances innate and adaptive immunity. Active Immunotherapy PAClitaxel (AIPAC) evaluated safety and efficacy of efti plus paclitaxel in patients with predominantly endocrine-resistant, hormone receptor–positive, HER2-negative metastatic breast cancer (ET-resistant HR+ HER2− MBC).

Patients and Methods:
Women with HR+ HER2– MBC were randomized 1:1 to weekly intravenous paclitaxel (80 mg/m2) and subcutaneous efti (30 mg) or placebo every 2 weeks for six 4-week cycles, then monthly subcutaneous efti (30 mg) or placebo maintenance. Primary endpoint was progression-free survival (PFS) by blinded independent central review. Secondary endpoints included overall survival (OS), safety/tolerability, pharmacokinetics/pharmacodynamics, and quality of life. Exploratory endpoints included cellular biomarkers.

Results:
114 patients received efti and 112 patients received placebo. Median age was 60 years (91.6% visceral disease, 84.1% ET-resistant, 44.2% with previous CDK4/6 inhibitor treatment). Median PFS at 7.3 months was similar for efti and placebo. Median OS was not significantly improved for efti (20.4 vs. 17.5 months; HR, 0.88; P = 0.197) but became significant for predefined exploratory subgroups. EORTC QLQC30-B23 global health status was sustained for efti but deteriorated for placebo. Efti increased absolute lymphocyte, monocyte and secondary target cell (CD4, CD8) counts, plasma IFNγ and CXCL10 levels.

Conclusions:
Although the primary endpoint, PFS, was not met, AIPAC confirmed expected pharmacodynamic effects and demonstrated excellent safety profile for efti. OS was not significantly improved globally (2.9-month difference), but was significantly improved in exploratory biomarker subgroups, warranting further studies to clarify efti's role in patients with ET-resistant HER2− MBC.
Estimation of powerquality in distribution system using fuzzy logic theory
Authors: Saleem Adeel , Ilkhombek Khosiljonovich Kholiddinov , Mashkhurakhon Mutalibjon Qizi Kholiddinova , Sokhib Komolddinov , MirzohidShakhobiddin Ugli Sharobiddinov , Sokhibjon Obidovich Soliev 
Published: November 2023

There are several methods are used to calculate the power quality indicators. These objectives are now served by the most recent soft computing theories, such as neural networks, fuzzy time series, fuzzy logic theory, and other techniques. The fuzzy logic theory is one of the methods used to calculate the power quality indicators for the distribution electric network in this paper. It resolves the issue of forecasting the voltage values on distribution electrical networks' buses and enhances the quality of electricity in the face of fluctuating consumer loads and uncertainty. This paper proposed a device that has the ability for monitoring the quality of electricity domestically which leads to getting rid of many problems such as voltage deviations and asymmetrical faults. The fuzzy logic theory is implemented to develop the algorithm for this purpose. The actual data is recorded at the distribution transformer and implement the fuzzy logic theory by using a mathematical model as well as the simulation on MATLAB for optimizing the power quality indicators with the help of fuzzy logic theory and results are discussed at the end of the paper.
Reduced to Brutish Nature: On Racism and the Law of Value
Authors: Egger Lukas 
Published: November 2023

Abstract
Following the work of Peter Schmitt-Egner, this article lays out a value-form theoretical approach to racism. During the debates within German Marxism on the reconstruction of the critique of political economy (Neue Marx-Lektüre), Schmitt-Egner developed a theory in the 1970s that tries to explain racism with reference to Marx’s analysis of the commodity form and circulation. Thereby he developed a highly original theoretical derivation of racism as an ideological reification of the debased position of colonised labour power in comparison with that of metropolitan workers. The bourgeois ideals of freedom and equality, constituted through commodity circulation, according to Schmitt-Egner, are modified by the nature of the colonial production process and thus negated in the case of the racialised worker. Even if his theory, as I am going to show, has some serious flaws, it helps to make sense of past and current patterns of racist inferiorisation.
Defects in the Moral Rights Regimes of the Countries of the Middle East
Authors: Makeen Makeen F 
Published: November 2023

Abstract
This article focuses on the protection of moral rights in Egypt, Israel, Lebanon, and the UAE. While moral rights are recognised in the four jurisdictions subject to this study, the level of protection is unsatisfactory. This article analyses the many defects surrounding the subsistence and exercise of moral rights and makes a host of suggestions to enhance the level of protection granted under national laws.
Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification
Authors: Getter Daniel , Bessac Julie , Rudi Johann , Feng Yan 
Published: November 2023

Abstract
Machine learning models have been employed to perform either physics-free data-driven or hybrid dynamical downscaling of climate data. Most of these implementations operate over relatively small downscaling factors because of the challenge of recovering fine-scale information from coarse data. This limits their compatibility with many global climate model outputs, often available between ∼50- and 100-km resolution, to scales of interest such as cloud resolving or urban scales. This study systematically examines the capability of a type of superresolving convolutional neural network (SR-CNNs) to downscale surface wind speed data over land from different coarse resolutions (25-, 48-, and 100-km resolution) to 3 km. For each downscaling factor, we consider three convolutional neural network (CNN) configurations that generate superresolved predictions of fine-scale wind speed, which take between one and three input fields: coarse wind speed, fine-scale topography, and diurnal cycle. In addition to fine-scale wind speeds, probability density function parameters are generated through which sample wind speeds can be generated, accounting for the intrinsic stochasticity of wind speed. For assessing generalization to new data, CNN models are tested on regions with different topography and climate that are unseen during training. The evaluation of superresolved predictions focuses on subgrid-scale variability and the recovery of extremes. Models with coarse wind and fine topography as inputs exhibit the best performance when compared with other model configurations, operating across the same downscaling factor. Our diurnal cycle encoding results in lower out-of-sample generalizability when compared with other input configurations.
Documenting the Progressions of Secondary Eyewall Formations
Authors: Cheung Alex Alvin , Slocum Christopher J. , Knaff John A. , Razin Muhammad Naufal 
Published: November 2023

Abstract
Intense tropical cyclones can form secondary eyewalls (SEs) that contract toward the storm center and eventually replace the inner eyewall, a process known as an eyewall replacement cycle (ERC). However, SE formation does not guarantee an eventual ERC, and often, SEs follow differing evolutionary pathways. This study documents SE evolution and progressions observed in numerous tropical cyclones, and results in two new datasets using passive microwave imagery: a global subjectively labeled dataset of SEs and eyes and their uncertainties from 72 storms between 2016 and 2019, and a dataset of 87 SE progressions that highlights the broad convective organization preceding and following an SE formation. The results show that two primary SE pathways exist: “No Replacement,” known as “Path 1,” and “Replacement,” known as the “Classic Path.” Most interestingly, 53% of the most certain SE formations result in an eyewall replacement. The Classic Path is associated with stronger column average meridional wind, a faster poleward component of storm motion, more intense storms, weaker vertical wind shear, greater relative humidity, a larger storm wind field, and stronger cold-air advection. This study highlights that a greater number of potential SE pathways exist than previously thought. The results of this study detail several observational features of SE evolution that raise questions about the physical processes that drive SE formations. Most important, environmental conditions and storm metrics identified here provide guidance for predictors in artificial intelligence applications for future tropical cyclone SE detection algorithms.
Road Users Fail to Appreciate the Special Optical Properties of Retroreflective Materials
Authors: King Savana L. , Szubski Ellen C. , Tyrrell Richard A. 
Published: November 2023

Objective To determine whether typical road users appreciate the special optical properties of retroreflective materials. Background Retroreflective surfaces reflect light back towards the source of the illumination. All drivers benefit from retroreflective materials, as they are required on road signs, on large trailers, in lane delineation, and other traffic control devices. Retroreflective markings can also greatly enhance the conspicuity of pedestrians at night, but pedestrians typically underuse retroreflective markings. One possible reason is that pedestrians may not appreciate the special optical properties of retroreflective materials. Method Two experiments tested whether observers could correctly predict that retroreflective materials appear remarkably bright when illuminated by a source that is aligned with the observers’ eyes. Observers used a magnitude estimation procedure to predict how bright retroreflective and non-retroreflective stimuli would appear during a demonstration designed to highlight retroreflectivity. They then judged the brightness again during the demonstration. Results In general, observers underestimated how bright retroreflective stimuli would be and overestimated how bright diffuse reflective and fluorescent stimuli would be. The underestimates for retroreflective stimuli were particularly striking when the observers had not closely examined the stimuli in advance. Conclusion The fact that road users do not appreciate retroreflectivity may help explain why pedestrians underuse retroreflective markings at night. Application Educational interventions could prove useful in this domain.
Changing Employment Patterns: An Analysis of Rural Labour Force in Punjab
Authors: Sharma Manjit , Sharma Pushpak 
Published: November 2023

The story of Punjab’s economic development witnessed an asymmetrical shift in the structure of output and employment due to the intensive capitalistic model of production in agriculture. The present study, based on National Sample Survey Office data, examines the patterns of employment and output in rural economy of Punjab during the pre-reform and post-reform period. Rural Punjab witnessed fall of work participation rate and phenomenon of ‘defeminisation’ of the labour force in agriculture during the post-reform period. There is a paradigm shift as the share of non-agriculture employment increased to 59.3% as per Periodic Labour Force Survey 2018; consequently, the non-agriculture sector becomes a major driving force in the state economy. An increase in employment elasticity among all sectors (except construction sector) during the post-reform period is a good sign. But a substantial decline in employment elasticity for all the sectors (except the construction sector) of Punjab is a disquieting phenomenon during the study period. Amidst the agrarian crisis, the rural non-farm sector can emerge as a silver lining, but evangelists of market economy disregarded the rural non-farm sector. Hence, the state should abdicate its neoliberal policies and adopt post-Washington consensus for the development of the rural non-farm sector within a given mode of production. JEL Codes: E24, J16, J43, J46, O11
Additional Plate Fixation of Hinge Fractures After Varisation Distal Femoral Osteotomies Provides Favorable Torsional Stability: A Biomechanical Study
Authors: Peez Christian , Grosse-Allermann Arian , Deichsel Adrian , Raschke Michael J. , Glasbrenner Johannes , Briese Thorben , Wermers Jens , Herbst Elmar , Kittl Christoph 
Published: November 2023

Background: Hinge fractures are considered risk factors for delayed or nonunion of the osteotomy gap in distal femoral osteotomies (DFOs). Limited evidence exists regarding the treatment of hinge fractures after DFO, which could improve stability and thus bone healing. Purpose: To (1) examine the effect of hinge fractures on the biomechanical properties of the bone-implant construct, (2) evaluate the biomechanical advantages of an additional fixation of a hinge fracture, and (3) test the biomechanical properties of different types of varisation DFOs. Study Design: Controlled laboratory study. Methods: A total of 32 fresh-frozen human distal femora equally underwent medial closing wedge DFO or lateral opening wedge DFO using a unilateral locking compression plate. The following conditions were serially tested: (1) preserved hinge; (2) hinge fracture along the osteotomy plane; (3) screw fixation of the hinge fracture; and (4) locking T-plate fixation of the hinge fracture. Using a servo-hydraulic materials testing machine, we subjected each construct to 15 cycles of axial compression (400 N; 20 N/s) and internal and external rotational loads (10 N·m; 0.5 N·m/s) to evaluate the stiffness. The axial and torsional hinge displacement was recorded using a 3-dimensional optical measuring system. Repeated-measures 1-way analysis of variance and post hoc Bonferroni correction were used for multiple comparisons. Statistical significance was set at P < .05. Results: Independent from the type of osteotomy, a fractured hinge significantly ( P < .001) increased rotational displacement and reduced stiffness of the bone-implant construct, resulting in ≥1.92 mm increased displacement and ≥70% reduced stiffness in each rotational direction, while the axial stiffness remained unchanged. For both procedures, neither a screw nor a plate could restore intact rotational stiffness ( P < .01), while only the plate was able to restore intact rotational displacement. However, the plate always performed better compared with the screw, with significantly higher and lower values for stiffness (+38% to +53%; P < .05) and displacement (–55% to −72%; P < .01), respectively, in ≥1 rotational direction. At the same time, the type of osteotomy did not significantly affect axial and torsional stability. Conclusion: Hinge fractures after medial closing wedge DFO and lateral opening wedge DFO caused decreased bone-implant construct rotational stiffness and increased fracture-site displacement. In contrast, the axial stiffness remained unchanged in the cadaveric model. Clinical Relevance: When considering an osteosynthesis of a hinge fracture in a DFO, an additional plate fixation was the construct with the highest stiffness and least displacement, which could restore intact hinge rotational displacement.