bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Effectiveness of Upadacitinib and Tofacitinib in Ulcerative Colitis: A US Propensity-Matched Cohort Study
Authors: Kochhar Gursimran S. , Khataniar Himsikhar , Jairath Vipul , Farraye Francis A. , Desai Aakash 
Published: July 2024

INTRODUCTION:
There are limited real-world data comparing the effectiveness of upadacitinib and tofacitinib in patients with ulcerative colitis (UC).

METHODS:
We conducted a retrospective cohort study using TriNetX, a multi-institutional database, to compare the effectiveness of upadacitinib and tofacitinib in patients with UC. The primary aim was to assess the risk of a composite outcome of hospitalization requiring intravenous steroids and/or colectomy within 6 and 12 months. One-to-one propensity score matching was performed for demographics, comorbid conditions, mean hemoglobin, C-reactive protein, albumin, and calprotectin, and prior UC medications including recent oral or intravenous steroid use between the cohorts. Risk was expressed as adjusted odds ratio (aOR) with 95% confidence intervals (CI).

RESULTS:
There were 526 patients in the upadacitinib cohort (mean age 40.4 ± 16.3, 44.8% female sex, 76.6% White race) and 1,149 patients in the tofacitinib cohort (mean age 42 ± 17.1, 41.9% female sex, 76% White race). After propensity score matching, there was no significant difference in the risk of the composite outcome of need for intravenous steroids and/or colectomy within 6 months (aOR 0.75, 95% CI 0.49–1.09). However, there was a lower risk of the composite outcome (aOR 0.63, 95% CI 0.44–0.89) in the upadacitinib cohort compared with the tofacitinib cohort within 12 months. There was no difference in the risk of intravenous steroid use (aOR 0.70, 95% CI 0.48–1.02) but lower risk of colectomy (aOR 0.46, 95% CI 0.27–0.79). In sensitivity analysis, there was also a lower risk of the composite outcome (aOR 0.64, 95% CI 0.44–0.94), including lower risk of intravenous steroid use (aOR 0.67, 95% CI 0.45–0.99) and colectomy (aOR 0.49, 95% CI 0.26–0.92) in the upadacitinib cohort compared with the tofacitinib cohort within 12 months.

DISCUSSION:
This study utilizing real-world data showed that upadacitinib was associated with improved disease-specific outcomes at 12 months compared with tofacitinib in patients with UC.
A parametric study on syngas production by adding CO2 and CH4 on steam gasification of biomass system using ASPEN Plus
Authors: Chen Bingxin 
Published: July 2024

Abstract
Biomass gasification technology is increasingly employed as an environmentally friendly energy source, primarily due to its minimal impact on the environment and its ability to mitigate pollution. This technology excels in producing gas with exceptionally high hydrogen content, making it a valuable source for both fuel and energy carriers. Hydrogen (H2), renowned for its stability and lack of detrimental environmental effects, holds great significance in various applications related to energy utilization and sustainability. In the current work, wood sawdust was utilized as the biomass feedstock for syngas production. The research focused on examining the impact of introducing carbon dioxide (CO2) and methane (CH4) gases into the Gibbs reactors. The steam gasification process was modeled by the ASPEN Plus software, allowing for comprehensive analysis and simulation of the gasification reactions. According to the obtained results, the modeling performed in this study demonstrates good predictive capability when compared to the experimental data. It was shown that when the ratio of CO2 to biomass (C/B) increases, the MFR (mass flow rates) of H2 as well as CH4 decrease, whereas the flow rates of CO2 and carbon monoxide (CO) increase. These findings indicate the influence of the C/B ratio on the distribution of different gases within the gasification process. The reduction in MFR of hydrogen when transitioning from C/B = 0 to C/B = 1 in modes a and b is quantified as 17.51 % and 16.39 %, respectively. These percentages represent the magnitude of the decrease in hydrogen MFR for each specific mode when comparing two carbon dioxide to biomass ratios. When the CH4 to biomass (M/B) ratio increases, the mass flow rates of H2 exhibit a consistent upward trend, while the MFR of CO2 displays a descending form. Specifically, when in the Gibbs reactor, M/B rises from 0 to 1 for modes a and b, the mass flow rates of H2 experience significant increases of 265 % and 243 %, respectively. These findings underscore the direct relationship between the M/B ratio and hydrogen production, highlighting the potential for enhanced hydrogen yields with higher M/B ratios in the studied modes.
From Gerontocratic Rule to Political Adultism: The Experiential Bias in Germany’s Aging Electoral Democracy and the Limitations of a Vote 16 Policy
Authors: Preclik Christopher-David 
Published: July 2024

Abstract
Rising life expectancies and low birth rates across the Western world have heralded a profound change in the way representative democracy operates. Whereas representative democracy was politics for the young made by the old in the past, it is turning into politics for the old made by the old in the 21st century. Following Yosuke Buchmeier and Gabriele Vogt’s recent reflection on Japan’s status as the democracy with the oldest electorate, this article considers the case of Germany’s aging electoral democracy, using the 2021 federal election as its empirical foundation. Employing what Ian Shapiro labels a problematizing redescription, the paper demonstrates that a recharacterization of gerontocratic rule as political adultism better explains the election outcome than a characterization of gerontocratic rule as such. In doing so, it draws up an original conception of political adultism as the socially-accepted interpersonal, structural, and institutional discrimination of young and younger people in politics and distinguishes between two temporal phases as disenfranchised and enfranchised political adultism. The two-stage idea of political adultism gives voice to the structural injustice toward young people as political beings and facilitates a critical reflection on whether the policy of lowering the voting age to 16 would really be as desirable as many of its proponents believe it is. The unique contribution of this article is the formulation of a new social structure that diagnoses a distinctive experiential bias in democratic politics at a time in which the relationship between demography and democracy is coming to a head.
Effect of inlet diameter on the flow structure and performance for aluminum-based water-jet engine
Authors: Xu Wei , Bao WenChun , Fang Zhe , Zhang YunTian , Liu YuanShu , Ding GuoYu , Yan PingHua , Xu ChaoQi 
Published: July 2024

Abstract
In this study, the flow field and performance for the aluminum based water ramjet was analyzed through numerical simulation. The time decrease in evaporation heat absorption process expands the range of aluminum/water combustion and increase the specific impulse. If the diameter of atomized water droplets from the primary inlet is large, the evaporation efficiency will be further reduced, which is not conducive to the further propagation of the reaction. However, if the diameter is small, the flow field temperature will be rapidly dropped due to rapid evaporation, and a large range of low-temperature areas will appear in the reaction area of the combustor. The diameter reduction of atomized water droplets from the secondary water inlet is conducive to the diffusion of the reaction area downstream, further and makes the combustion range be expanded. This effect is benefit for increasing the specific impulse and can reduce the temperature near the wall.
Short and sweet: balancing energy savings and cleaning performance to identify efficient short-cycles for domestic dishwashers
Authors: Tewes Thomas J. , Harcq Laurence , Minot Pauline , ter Bekke Martin , Bockmühl Dirk P. 
Published: July 2024

Abstract
Optimizing the energy efficiency of household appliances is crucial to appliance manufacturers, energy suppliers, governments and, almost importantly, consumers. For the reliable cleaning of normally soiled dishes, consumers can save energy by using Eco-programs instead of Intensive- or Auto-programs, but this means that they have to accept cleaning times of up to 4 h. Consequently, the acceptance for these programs is not very high, despite consumers’ high willingness to save energy and water. Short-cycles that run for less than 55 min and use equal to less energy on average than Eco-programs have a high consumer potential. However, according to manufacturers, these are rather designed for lightly soiled or pre-treated dishes. Considering the Sinner’s circle, the cleaning result depends on the interaction of temperature, time, mechanics and chemistry, so we investigated the extent to which using a commercially available detergent, thus fully exploiting the “chemistry” component of the Sinner’s circle, can save time, temperature, water and, most importantly, energy in the end. Our results show that there are Short-program combinations using a commercially available detergent that reliably clean normally soiled dishes in less than 55 min and typically 30–40 min with significantly lower energy consumption than average Eco-cycles.
Classification of Force-Time Metrics Into Lower-Body Strength Domains
Authors: Geneau Mary C. , Carey David L. , Gastin Paul B. , Robertson Sam , James Lachlan P. 
Published: July 2024

Abstract
Geneau, MC, Carey, DL, Gastin, PB, Robertson, S, and James, LP. Classification of force-time metrics into lower-body strength domains. J Strength Cond Res 38(9): 1561–1567, 2024—The purpose of this study was to classify force-time metrics into distinct lower-body strength domains using a systematic data reduction analysis. A cross-sectional design was used, whereby competitive field sport athletes (F = 39, M = 96) completed a series of drop jumps, squat jumps, countermovement jumps (CMJs), loaded CMJs, and 2 isometric tasks on portable force platforms, resulting in a total of 285 force-time performance metrics. The metrics were split into 4 test “families” and each was entered into a sparse principal component analysis (sPCA) model. A single metric from each component of each family-specific sPCA were selected based on the loading, reliability, and simplicity of the metric and entered into a second sPCA that included metrics across all tests. The final sPCA revealed 7 principal components each containing 2 metrics and explained a total of 53% variance of the dataset. The final principal components were interpreted as 7 lower-body strength domains: (a) dynamic force, (b) dynamic timing, (c) early isometric, (d) maximal isometric, (e) countermovement velocity, (f) reactive output, and (g) reactive timing. The findings demonstrate that a total of 7 metrics from a drop jump, CMJ, and isometric test can be used to represent ∼50% of variance in lower-body strength performance of field sport athletes. These results can help guide and simplify the lower-body strength diagnosis process in field sport athletes.
Towards a Phenomenology of Digital Sociality: Two Perspectives
Authors: Vaičiulis Rokas 
Published: July 2024

The phenomenology of sociality responds to the dilemma of other minds by presuming the primordially intersubjective and embodied nature of intentional communicative acts. I propose, then, to consider the phenomenology of digital sociality as the field of research dedicated to investigate the specificity of the nature of intersubjectivity and embodiment constituted by digital communication media. By dividing the discussed variety of descriptive phenomenological accounts regarding digitally mediated embodied relationships (including Shanyang Zhao, Lucy Osler and Dan Zahavi, Rebecca A. Hardesty and Ben Sheredos and others) into the trajectories of extension (digitally mediated communication as the eidetic variation of generally embodied communicative acts) and pluralism (epistemology as well as ontology and socially normative practices intrinsic to the specific digital communication platform) I aim to demonstrate the topical tendencies and explanatory strategies that are developed in the attempts to deliver digital communication platform-sensitive phenomenological descriptions, often with the help of Alfred Schutz’s and Maurice Merleau-Ponty’s concepts.
Surveillance of Health Care-Associated Violence Using Natural Language Processing
Authors: Waltzman Mark , Ozonoff Al , Fournier Kerri Ann , Welcher Jennifer , Milliren Carly , Landschaft Assaf , Bulis Jonathan , Kimia Amir A 
Published: July 2024

BACKGROUND AND OBJECTIVES
Patient and family violent outbursts toward staff, caregivers, or through self-harm, have increased during the ongoing behavioral health crisis. These health care-associated violence (HAV) episodes are likely under-reported. We sought to assess the feasibility of using nursing notes to identify under-reported HAV episodes.

METHODS
We extracted nursing notes across inpatient units at 2 hospitals for 2019: a pediatric tertiary care center and a community-based hospital. We used a workflow for narrative data processing using a natural language processing (NLP) assisted manual review process performed by domain experts (a nurse and a physician). We trained the NLP models on the tertiary care center data and validated it on the community hospital data. Finally, we applied these surveillance methods to real-time data for 2022 to assess reporting completeness of new cases.

RESULTS
We used 70 981 notes from the tertiary care center for model building and internal validation and 19 332 notes from the community hospital for external validation. The final community hospital model sensitivity was 96.8% (95% CI 90.6% to 100%) and a specificity of 47.1% (39.6% to 54.6%) compared with manual review. We identified 31 HAV episodes in July to December 2022, of which 26 were reportable in accordance with the hospital internal criteria. Only 7 of 26 cases were reported by employees using the self-reporting system, all of which were identified by our surveillance process.

CONCLUSIONS
NLP-assisted review is a feasible method for surveillance of under-reported HAV episodes, with implementation and usability that can be achieved even at a low information technology-resourced hospital setting.
The result of the investigation of a new micromodule gas burner with a sudden expansion at the outlet
Authors: Dostiyarov Abay , Sarakeshova Nurbubi , Yamanbekova Ayaulym 
Published: July 2024

The object of the study is a new micromodule gas burner for small hot water boilers, in which, to stabilize combustion, the phenomena of flow disruption due to sudden expansion at the outlet of the burner are used. Today, there is an urgent task related to the development of new technical solutions for the most efficient and environmentally pure combustion of fuel in power plants, particularly, it is necessary to pay special attention to the stabilization of the flare. The combustion characteristics in this burner have been studied experimentally and theoretically, calculations are given for modeling a micromodule gas burner with a sudden expansion at the outlet, in particular, the model of a burner device for burning natural gas (propane) was modeled in the Ansys Fluent 2021 R1 software package. As a result of the experiment, the length of the torch was reduced, as well as the concentrations of harmful NOx emissions were reduced with improved indicators of combustion completeness and temperature uniformity of the field. The results of experiments with different nozzles are presented, namely nozzles with slots at the outlet d1 – 0.12 m and d2 – 0.15 m. The number of modes in each experiment is 5. Mathematical modeling of this burner with the possibility of evaluating the effectiveness of these measures will allow us to develop optimal operating modes of power plants and develop new technical solutions to reduce the emission of pollutants. Based on the experimental data obtained, graphs were constructed (completeness of combustion, temperature unevenness, concentration of substances), and the results were summarized. In general, these characteristics will increase the efficiency of using this burner in hot water boilers
Devising a technique for descending the illumination elements of aerial vehicles
Authors: Makeev Vasyl , Derevjanchuk Anatoliy , Vakal Andrii , Liapa Mykola 
Published: July 2024

The object of this study is the process of descending illumination elements equipped with a braking device in the form of two-bladed grills rotating in different directions. The classic parachute method does not provide the necessary speed of descent, it has low illumination parameters and significant drift of illumination elements by side wind.
To solve the tasks set, mathematical dependences were obtained for calculating the aerodynamic characteristics of the descent device with the illumination element and its delivery to the ejection point. The drag and lift force coefficients during the flow around the blades of a dual-rotor impeller with different Reynolds numbers were determined by the method of numerical modeling based on the ANSYS CFX software package. The optimal geometric characteristics of the profile satisfying the condition for the necessary speed of descent of the illumination element at the given weight of the descent apparatus were determined.
Reasonable requirements for illumination parameters and an improved composition of the flare have been proposed.
A mathematical model of the movement of a body of variable mass to the point of ejection of the illumination element was built.
The new design of the descent device makes it possible to reduce the speed of descent by 10–15 % and increase the weight of the payload by 20–30 %. The proposed illumination composition provides sufficient illumination of the object for 5 minutes with a light intensity of 2–2,5 million candelas and an average diameter of the illuminated area of 2000–2500 m. The mathematical model of the movement of a variable mass body to the point of the illumination element ejection makes it possible to determine with high accuracy the gun firing settings with illumination ammunition (30–40 % more accurate) and the time of ejection of illumination elements.
Results of the current research make it possible to solve the scientific problem of ensuring the maximum efficiency of illuminating the terrain at night
Forecasting the cutting force in end milling
Authors: Petrakov Yuri , Ohrimenko Olexander , Gladskyi Maksym 
Published: July 2024

The object of this study is the process of end milling, taking into account the discontinuity of the process, simultaneous cutting with several flutes arranged in a spiral, tool runout, and feedback in the elastic machining system, in particular, for the depth of cutting. The subject of the study is the cutting force and identification of its empirical model. During identification, the cutting force coefficient is automatically determined when matching the theoretical and experimental oscillograms of the cutting force component. The reported results related to forecasting the cutting force at end milling are based on a mechanistic approach and involve the process modeling method for forecasting. The simulation uses an algorithm for representing the interaction of the cutter flutes workpiece engagement, based on the scan of the cutter according to the rotation angle coordinate. The algorithm makes it possible to identify empirical coefficients and exponents of the cutting force model based on experimental oscillograms of cutting force components. The built model is implemented in an application program and owing to the representation of the machining system in the form of a closed structural diagram, it allows predicting the elastic displacement, which will determine the actual cutting depth. The developed program under an interactive mode using digital files of experimental cutting force components makes it possible to perform model identification and predict cutting force components with an error of 4.6 %. The adequacy of the algorithms was confirmed by measuring the profile of the machined surface in the places where the cutting mode changed with the feed stopped. The developed simulation algorithm makes it possible to take into account the simultaneous cutting by several flutes arranged in a spiral, the runout of the tool, and the feedback in the elastic machining system, in particular, the depth of cutting
Development of a method for assessing the state of dynamic objects using a combined swarm algorithm
Authors: Shyshatskyi Andrii , Dmytriieva Oksana , Lytvynenko Oleksandr , Borysov Ihor , Vakulenko Yuliia , Mukashev Temerbay , Mordovtsev Oleksandr , Kashkevich Svitlana , Lyashenko Anna , Velychko Vira 
Published: July 2024

The object of the study is complex dynamic objects. The subject of the study is the decision-making process in the problems of managing complex dynamic objects. A method of assessing the state of dynamic objects using a combined swarm algorithm is proposed. The research is based on a combined swarm algorithm - for finding a solution to the state of dynamic objects with a hierarchical structure. To train the individuals of the combined swarm algorithm (CSA), evolving artificial neural networks are used, and to select the best in the combined swarm algorithm, an improved genetic algorithm is used. The originality of the method is:
– in taking into account the type of uncertainty and noise of data during the operation of the combined swarm algorithm due to the use of appropriate correction factors;
– in the implementation of adaptive strategies for the search for food sources due to setting appropriate search priorities;
– in taking into account the presence of a predator while choosing food sources by the flock agents of the combined swarm algorithm, which allows excluding unwanted search areas;
– in the additional consideration of the available computing resources of the state analysis system of complex dynamic objects while determining the maximum permissible parameters of the combined swarm algorithm;
– in the possibility of changing the search area and speed of movement by separate individuals of the flock of the combined swarm algorithm;
– in determining the best individuals of the flock of the combined swarm algorithm using an improved genetic algorithm;
– in training knowledge bases, carried out by training the synaptic weights of the artificial neural network, the type and parameters of the membership function, the architecture of individual elements and the architecture of the artificial neural network as a whole.
The method makes it possible to increase the efficiency of data processing at the level of 14–20 % by using additional improved procedures. The proposed method should be used to solve problems of evaluating complex dynamic objects