bluuebunny/crossref_metadata_2025_split huggingface dataset:
A cell model for evaluating mitochondrial damage in cardiomyocytes
Authors: Zhang Yingying , Chen Yongxue , Zhao Senming 
Published: November 2022

Abstract
Background
Various cellular models were used for assessment of mitochondrial damage in cardiomyocyte, but most of them are based on silent cells without contractility. The mitochondria in cells at working should be more sensitive to toxic or reperfusion damage due to their high level mitochondrial respiration. Therefore, contracting cells can represent inotropic agent-mediated high-energy demand states.

Objective
To establish a cellular model to detect mitochondrial damage in cardiomyocytes at contraction.

Method
Freshly isolated Sprague–Dawley rat cardiomyocytes were incubated with or without bupivacaine, in the presence or absence of isoprenaline, and electrically stimulated to induce rhythmic contractions.

Results
Contraction under electrical field stimulation did not induce mitochondrial swelling or ROS production in DMEM; the silent cells in the presence of bupivacaine showed mild mitochondrial swelling, but contracting cells exhibited significantly higher mitochondrial swelling and increased ROS production (P < 0.05, vs. silent cells). Isoprenaline induced a further enhancement in mitochondrial swelling and ROS production in contracting cells.

Conclusions
Contracting cells are more sensitive to bupivacaine toxicity and could be more accurately represent mitochondrial damage in vivo condition.
Clinical features, treatment outcomes and mortality risk of tuberculosis sepsis in HIV-negative patients: a systematic review and meta-analysis of case reports
Authors: Adegbite Bayode R. , Elegbede-Adegbite Nadege O. M. , Edoa Jean R. , Honkpehedji Yabo J. , Zinsou Jeannot F. , Dejon-Agobé Jean Claude , Adegnika Ayola A. , Grobusch Martin P. 
Published: November 2022

Abstract
Purpose
Tuberculosis sepsis (TBS) is sepsis due to the Mycobacterium species causing tuberculosis (TB). It seems to be rare in HIV-negative patients and mainly individual case reports have been reported. This systematic review summarizes the epidemiology, clinical features, and treatment outcomes of TBS in HIV-negative patients.

Methods
An electronic search of PubMed, Embase, Web of Science, and Google Scholar was performed to identify published case reports of TBS between January 1991 and September 2022.

Results
Twenty-five articles reported 28 cases of TBS in HIV-negative patients, among which 54% (15/28) were women; with 50% (14/28) of patients not having reported predisposing factors. A total of 64% (18/28) of patients died, and the diagnosis was obtained for many of them only post-mortem. Two of the reports mentioned the BCG vaccination status. A higher proportion of deaths occurred in patients with delayed diagnosis of sepsis. The probability of survival of patients diagnosed with tuberculosis sepsis was 68% on day 10; 41% on day 20; and 33% on day 30 after admission.

Conclusions
Our review showed TBS occurred in HIV-negative patients and some of them have no known immunocompromised underlying co-morbidity. TBS might not be rare as clinicians thought but might be prone to be missed. In endemic settings, M. tuberculosis etiology of sepsis should be accounted for early, irrespective of HIV infection status.
Real-Time Predictive Control of Path Following to Stabilize Autonomous Electric Vehicles Under Extreme Drive Conditions
Authors: Guo Ningyuan , Zhang Xudong , Zou Yuan 
Published: November 2022

AbstractA novel real-time predictive control strategy is proposed for path following (PF) and vehicle stability of autonomous electric vehicles under extreme drive conditions. The investigated vehicle configuration is a distributed drive electric vehicle, which allows to independently control the torques of each in-wheel motor (IWM) for superior stability, but bringing control complexities. The control-oriented model is established by the Magic Formula tire function and the single-track vehicle model. For PF and direct yaw moment control, the nonlinear model predictive control (NMPC) strategy is developed to minimize PF tracking error and stabilize vehicle, outputting front tires’ lateral force and external yaw moment. To mitigate the calculation burdens, the continuation/general minimal residual algorithm is proposed for real-time optimization in NMPC. The relaxation function method is adopted to handle the inequality constraints. To prevent vehicle instability and improve steering capacity, the lateral velocity differential of the vehicle is considered in phase plane analysis, and the novel stable bounds of lateral forces are developed and online applied in the proposed NMPC controller. Additionally, the Lyapunov-based constraint is proposed to guarantee the closed-loop stability for the PF issue, and sufficient conditions regarding recursive feasibility and closed-loop stability are provided analytically. The target lateral force is transformed as front steering angle command by the inversive tire model, and the external yaw moment and total traction torque are distributed as the torque commands of IWMs by optimization. The validations prove the effectiveness of the proposed strategy in improved steering capacity, desirable PF effects, vehicle stabilization, and real-time applicability.
The Effects of Offset Loading Versus Traditional Loading in the Bench Press Exercise on Muscle Thickness and Strength in Trained Males
Authors: Sharp Matthew , Ottinger Charlie , Gheith Raad , Stefan Matthew , Lowery Ryan , LoDuca Salvatore , Wilson Jacob 
Published: November 2022

Abstract
Purpose
This study compared the effects of offset loading (OSL) versus traditional loading (TDL) in the bench press exercise on pectoral muscle thickness and bench press strength over a 4-week mesocycle. Methods: Twenty male participants aged 18–45 years with at least 5 years of bench press experience and a bench press one-repetition maximum equal to or greater than their body mass were randomly assigned to OSL and TDL groups. Before and after the 4-week mesocycle, pectoral muscle thickness was assessed via ultrasonography and muscle strength was assessed by bench press one-repetition maximum. Effects were explored with two-way mixed ANOVA and non-clinical magnitude-based inferences. Results: No group-by-time interaction was detected for any variable (P > 0.05). When compared to small magnitudes, the pectoralis major muscle thickness changes were likely greater in OSL compared to TDL for the dominant (ES = 0.70; 87% likely greater) and nondominant pectoralis (ES = 0.77; 91% likely greater) as well as the sum of both pectorals (ES = 0.80; 92% likely greater). Similarly, a likely greater effect for absolute (ES = 0.57; 82% likely) and relative (ES = 0.67; 85% likely) bench press strength was seen with OSL. Conclusion: Magnitude-based inferences interpreted here support the notion that OSL may be an advantageous training modality to enhance pectoral muscle thickness and bench press strength.
AI’s fairness problem: understanding wrongful discrimination in the context of automated decision-making
Authors: Cossette-Lefebvre Hugo , Maclure Jocelyn 
Published: November 2022

AbstractThe use of predictive machine learning algorithms is increasingly common to guide or even take decisions in both public and private settings. Their use is touted by some as a potentially useful method to avoid discriminatory decisions since they are, allegedly, neutral, objective, and can be evaluated in ways no human decisions can. By (fully or partly) outsourcing a decision process to an algorithm, it should allow human organizations to clearly define the parameters of the decision and to, in principle, remove human biases. Yet, in practice, the use of algorithms can still be the source of wrongful discriminatory decisions based on at least three of their features: the data-mining process and the categorizations they rely on can reconduct human biases, their automaticity and predictive design can lead them to rely on wrongful generalizations, and their opaque nature is at odds with democratic requirements. We highlight that the two latter aspects of algorithms and their significance for discrimination are too often overlooked in contemporary literature. Though these problems are not all insurmountable, we argue that it is necessary to clearly define the conditions under which a machine learning decision tool can be used. We identify and propose three main guidelines to properly constrain the deployment of machine learning algorithms in society: algorithms should be vetted to ensure that they do not unduly affect historically marginalized groups; they should not systematically override or replace human decision-making processes; and the decision reached using an algorithm should always be explainable and justifiable.
Multi-agent reinforcement learning for autonomous vehicles: a survey
Authors: Dinneweth Joris , Boubezoul Abderrahmane , Mandiau René , Espié Stéphane 
Published: November 2022

AbstractIn the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual mobility, as well as from the road safety point of view. Mixed traffic may fail to fulfill expected security requirements due to the heterogeneity and unpredictability of human drivers, and autonomous cars could then monopolize the traffic. Using multi-agent reinforcement learning (MARL) algorithms, researchers have attempted to design autonomous vehicles for both scenarios, and this paper investigates their recent advances. We focus on articles tackling decision-making problems and identify four paradigms. While some authors address mixed traffic problems with or without social-desirable AVs, others tackle the case of fully-autonomous traffic. While the latter case is essentially a communication problem, most authors addressing the mixed traffic admit some limitations. The current human driver models found in the literature are too simplistic since they do not cover the heterogeneity of the drivers’ behaviors. As a result, they fail to generalize over the wide range of possible behaviors. For each paper investigated, we analyze how the authors formulated the MARL problem in terms of observation, action, and rewards to match the paradigm they apply.
Exact Solutions of Fractional Order Oscillation Equation with Two Fractional Derivative Terms
Authors: Duan Jun-Sheng , Zhang Jun-Yan , Qiu Xiang 
Published: November 2022

AbstractThe fractional oscillation equation with two fractional derivative terms in the sense of Caputo, where the orders $$\alpha$$
α
and $$\beta$$
β
satisfy $$1<\alpha \le 2$$

1
<
α
≤
2

and $$0<\beta \le 1$$

0
<
β
≤
1

, is investigated, and the unit step response and two initial value responses are obtained in two forms by using different methods of inverse Laplace transform. The first method yields series solutions with the nonnegative powers of t, which converge fast for small t. The second method is our emphasis, where the complex path integral formula of the inverse Laplace transform is used. In order to determine singularities of integrand we first seek for the roots of the characteristic equation, which is a transcendental equation with four parameters, two coefficients and two noninteger power exponents. The existence conditions and properties of the roots on the principal Riemann surface are given. Based on the results on the characteristic equation, we derive these responses as a sum of a classical exponentially damped oscillation, which vanishes in an indicated case, and an infinite integral of the Laplace type, which converges fast for large t, with a steady component in the unit step response. Asymptotic behaviors of solutions for large t are derived as algebraic decays in negative power laws characterized by the orders $$\alpha$$
α
and $$\beta$$
β
. The fractional system exhibits a magical transition from oscillation to monotonic decay in negative power law.
Simulating topological materials with photonic synthetic dimensions in cavities
Authors: Yang Mu , Xu Jin-Shi , Li Chuan-Feng , Guo Guang-Can 
Published: November 2022

AbstractPhotons play essential roles in fundamental physics and practical technologies. They have become one of the attractive informaiton carriers for quantum computation and quantum simulation. Recently, various photonic degrees of freedom supported by optical resonant cavities form photonic synthetic dimensions, which contribute to all-optical platforms for simulating novel topological materials. The photonic discrete or continuous degrees of freedom are mapped to the lattices or momenta of the simulated topological matter, and the couplings between optical modes are equivalent to the interactions among quasi-particles. Mature optical modulations enable flexible engineering of the simulated Hamiltonian. Meanwhile, the resonant detection methods provide direct approaches to obtaining the corresponding energy band structures, particle distributions and dynamical evolutions. In this Review, we give an overview of the synthetic dimensions in optical cavities, including frequency, orbital angular momentum, time-multiplexed lattice, and independent parameters. Abundant higher-dimensional topological models have been demonstrated in lower dimensional synthetic systems. We further discuss the potential development of photonic synthetic dimensions in the future.
Victim versus villain: Repatriation policies for foreign fighters and the construction of gendered and racialised ‘threat narratives’
Authors: Stenger Helen 
Published: November 2022

AbstractState responses to repatriation of Islamic State (ISIS) foreign fighters and their children detained across Syria and Iraq are highly diverse. Repatriation policies implemented between 2018 and 2020 range from denying repatriation of nationals and revocation of citizenship to repatriation and subsequent gender-responsive rehabilitation programmes. What explains the variation in state responses? This article seeks to explain why repatriation policies differ despite the global challenges faced by all states. It investigates and categorises the repatriation policies for foreign fighters across 69 countries ranging from unconditional repatriation to denying repatriation. To explain the state responses to a common security and human rights dilemma, a mixed-method approach is employed involving an explorative statistical analysis to test key explanations and a narrative analysis. The findings reveal how diverse social constructions of gendered and racialised ‘threat narratives’ of foreign fighters in policy documents and the media explain variation in foreign fighter repatriation policies.
How Do Mainstream Parties Justify Their (Un)willingness to Rule with Populist Parties? Evidence from Twitter Data
Authors: Jacobs Laura 
Published: November 2022

AbstractParties usually argue in favour or against a government coalition based on party considerations in terms of projected policy implementation, power in office and vote maximization – that is, the ‘policy, office, votes’ triad. So far, however, it remains unclear which claims mainstream parties invoke to motivate their choice to rule or not rule with populist parties. Adopting the ‘policy, voter, office’ triad, this article examines mainstream parties' Twitter claims on ruling with populist parties in Austria, Belgium, Germany and the Netherlands (2006–2021, N = 1,919). Mainstream parties mainly reject ruling with (mostly radical right) populist parties. To justify unwillingness, policy-based motives referring to the populist parties' extremist nature trump motives on office-seeking and vote maximization. To justify willingness, predominantly office-seeking motivations are invoked. Party characteristics (ideology, incumbency status, size) and context, however, shape these claims. This study sheds light on mainstream parties' patterns of political communication on coalition formation with populist parties.
The Populist Radical Right and the Pandemic
Authors: Rovira Kaltwasser Cristóbal , Taggart Paul 
Published: November 2022

AbstractCOVID-19 shocked the world and provided a particular challenge for populist radical right (PRR) forces. We lay out three research questions that this special issue addresses through case studies of the PRR in government in Brazil, Hungary, Turkey and the US and in opposition in France, Italy, Germany and Spain: (1) How have PRR actors responded to the pandemic? (2) How have PRR actors framed the politics of the pandemic? and (3) What have been the effects of the pandemic on the popularity of the PRR? We explain the case selection of this special issue and summarize the main findings of the eight case studies, which show that the pandemic did not severely damage the PRR and that they had very different responses to the challenge. This reinforces the idea that the PRR is not ephemeral but is rather the by-product of structural transformations of contemporary societies and is here for the foreseeable future.
Augmentation strategies for clozapine resistance: a systematic review and meta-analysis
Authors: Grover Sandeep , Sarkar Siddharth , Sahoo Swapnajeet 
Published: November 2022

AbstractBackground:Several augmentation strategies have been used to improve symptomatology in patients not adequately responding to clozapine. Several randomised controlled trials (RCTs) have evaluated the efficacy of different strategies to augment clozapine. This systematic review and meta-analysis reviewed the available RCTs that have evaluated the clinical efficacy of various pharmacological agents, non-pharmacological strategies (occupational therapy, cognitive behaviour therapy), and somatic treatment [electroconvulsive therapy (ECT), repetitive transcranial magnetic stimulation, etc.)] as augmenting agents to clozapine.Methods:Data were extracted using standard procedures, and risk of bias was evaluated. Effect sizes were computed for the individual studies.Results:Forty-five clinical trials were evaluated. The pooled effect size for various antipsychotic medications was 0.103 (95% CI: 0.288–0.493, p < 0.001); when the effect size was evaluated for specific antipsychotics for which more than one trial was available, the effect size for risperidone was −0.27 and that for aripiprazole was 0.57. The effect size for lamotrigine was 0.145, and that for topiramate was 0.392. The effect size for ECT was 0.743 (CI: 0.094–1.392). Risk of bias was low (mean Jadad score – 3.93). Largest effect sizes were seen for mirtazapine (effect size of 5.265). Most of the studies can be considered underpowered and limited by small sample sizes.Conclusions:To conclude, based on the findings of the present systematic review and meta-analysis, it can be said that compared to other treatment strategies, clozapine non-responsive patients respond maximum to mirtazapine followed by ECT.
Totally endoscopic transcanal facial nerve decompression in patients with traumatic facial nerve paralysis: from geniculate ganglion to mastoid segment
Authors: Daneshi A , Asghari A , Mirsalehi M , Kiani Asiabar M , Mohebbi S 
Published: November 2022

AbstractObjectiveThe current study evaluated the effectiveness of endoscopic transcanal facial nerve decompression in patients with post-traumatic facial nerve paralysis.MethodsThis retrospective study included 10 patients with post-traumatic complete facial nerve paralysis who underwent endoscopic transcanal facial nerve decompression. The surgical technique was explained step by step, and the surgical complications, hearing status and facial nerve function 12 months post-operatively were reported.ResultsEndoscopic transcanal facial nerve decompression allowed exposure of the geniculate ganglion to the mastoid segment. The facial nerve function improved from House–Brackmann grade VI to grades I and II in 8 of 10 (80 per cent) patients, and 2 patients experienced partial recovery (House–Brackmann grades III and IV). No severe complication was reported.ConclusionEndoscopic transcanal facial nerve decompression, involving the nerve from the geniculate ganglion to the mastoid segment, is a safe and effective approach in patients with post-traumatic facial nerve paralysis.
In defence of partial faith
Authors: Wilczewska Sylwia 
Published: November 2022

AbstractSome people display a general attitude towards God which does not fulfil the criteria of full-blown faith but also does not amount to lack of faith. I argue that in some cases such an attitude, best described as partial faith, is likely to be the all-things-considered best option – even if God exists and the best possible relationship with God is the greatest possible good. This is because, in a universe as religiously ambiguous as ours, some people seem unable to have full-blown faith, and for some others such faith is likely to be possible only at the cost of contradicting some values relevant for the relationship to God. Somehow paradoxically, God-related worries and doubts leading to spiritual struggles and enquiries can improve one's relationship with God, so that, for some people at some times, the advantages of partial faith may override those of full-blown faith. If I am right, it offers some reason to think that partial faith does not deserve the criticism which has traditionally been directed at it. In addition to that, I argue that, independently of the normative assessment, partial faith is a useful descriptive concept, which can throw light on many issues surrounding faith in general and make it easier to describe some themes belonging to continental philosophy of religion in analytic terms.