bluuebunny/crossref_metadata_2025 huggingface dataset:
Cognitive Load and Mixed Strategies: On Brains and Minimax
Authors: Duffy Sean , Naddeo J. J. , Owens David , Smith John
Published: February 2024

It is well known that laboratory subjects often do not play mixed strategy equilibria games according to the theoretical predictions. However, little is known about the role of cognition in these strategic settings. We therefore conduct an experiment where subjects play a repeated hide and seek game against a computer opponent. Subjects play with either fewer available cognitive resources (high cognitive load treatment) or with more available cognitive resources (low cognitive load treatment). Surprisingly, we find some evidence that subjects in the high load treatment earn more than subjects in the low treatment. However, we also find that subjects in the low treatment exhibit a greater rate of increase in earnings across rounds, thus suggesting more learning. Our evidence is consistent with subjects in the low load treatment over-experimenting. Further, while we observe that subjects do not mix in the predicted proportions and that their actions exhibit serial correlation, we do not find strong evidence these are related to their available cognitive resources. This suggests that the standard laboratory deviations from the theoretical predictions are not associated with the availability of cognitive resources. Our results shed light on the extent to which cognitive resources affect (and do not affect) behavior in games with mixed strategy equilibria.
Non-Linear Stability of Aluminum Alloy Single-Layer Reticulated Shells Considering Stressed-Skin Effect
Authors: Guo Xiaonong , Tang Zilin , Chen Xuanyu
Published: February 2024

The stressed-skin effect refers to the enhancement of skin stiffness on structural stiffness and the ultimate load. Accurately quantifying the magnitude of the stressed-skin effect is of great significance for the safety and economic benefits of structures. In existing research, the skin panels are usually modeled by shell elements rigidly connected to the members, which may have lower computational efficiency and are not consistent with actual construction practices. For the triangular skin panels in aluminum alloy single-layer spherical reticulated shells, this paper proposed a simplified calculation model based on multiple non-linear springs. This model can greatly reduce the number of elements and its reliability has been successfully validated. Through parametric analysis, it was observed that the skin stiffness is primarily determined by the thickness of the skin panels and the connection stiffness between the skin panels and the members. The simplified model was applied to the models of aluminum alloy single-layer spherical reticulated shells to explore the effects of skin stiffness and initial geometric imperfection on the ultimate load of the shells. The results show that considering skin stiffness can increase the ultimate load by 10–20%, while the adverse effects of initial geometric imperfection can be weakened. Based on extensive numerical results, the formula for the ultimate load of the aluminum alloy single-layer spherical reticulated shells was modified to consider the stressed-skin effect.
Nonlinear Dynamic Analysis of FG Fluid Conveying Micropipes with Initial Imperfections
Authors: Wu Qiliang , Chen Nianwen , Yao Minghui , Niu Yan , Wang Cong
Published: February 2024

This paper investigates the nonlinear dynamics of FG-FCMPs with initial imperfections. Based on the MCST, the nonlinear equations of motion and the corresponding boundary conditions are established by applying Hamilton’s principle, the Euler–Bernoulli beam theory, and von-Kármán geometric nonlinearity. To describe the initial geometric imperfection of the FG-FCMP, the first-order vibrational mode is employed. Subsequently, in cases of primary parametric resonance, 1:2 subharmonic resonance for the first-order mode, as well as primary resonance for the second-order mode, Galerkin’s method, and the multiple scale method are utilized to analyze the amplitude–frequency responses of the imperfect FG-FCMP. The numerical simulations test the influence of flow velocity, micro-scale parameter, geometrical imperfections, and external loads on the nonlinear characteristics of a coupled system with two DOFs. It is found that, as the increase of flow velocity, micro-scale effect, and external load, the amplitude of the first two modes can be increased. The hardening characteristics are converted into the softening characteristics due to the imperfect effect. Furthermore, numerical results provide a more comprehensive understanding of the nonlinear dynamics of FCMPs for both periodic and chaotic motions.
Images of multilinear polynomials on generalized quaternion algebras
Authors: Danchev Peter V. , Dung Truong Huu , Son Tran Nam
Published: February 2024

In connection with the work of Malev published in [J. Algebra Appl. 13 (2014) 1450004; J. Algebra Appl. 20 (2021) 2150074], we continue to provide a classification of possible images of multilinear polynomials on generalized quaternion algebras.
Some inequalities for bi-slant Riemannian submersions in complex space forms
Authors: Önen Poyraz Nergiz , Gündüzalp Yılmaz , Akyol Mehmet Akif
Published: February 2024

The goal of this paper is to analyze sharp-type inequalities including the scalar and Ricci curvatures of bi-slant Riemannian submersions in complex space forms. Then, for bi-slant Riemannian submersion between a complex space form and a Riemannian manifold, we give inequalities involving the Casorati curvature of the space ker [Formula: see text]. Also, we mention some examples.
A Decision Framework Based on Integration of DEMATEL, QFD, TOPSIS and VIKOR Approaches for Fuzzy Multi-Criteria Supplier Selection Problem
Authors: Khorram Morteza , Sheibani Mehrzad , Niroomand Sadegh
Published: February 2024

Continuous and effective communication with suppliers can play a very important role in the strength and balance of the supply chain and create competitive advantages for manufacturers. Choosing the right supplier is crucial while choosing the wrong suppliers can affect the financial and operational activities of an organization negatively. In this study, an attempt is made to tackle a fuzzy multi-criteria supplier selection problem of a detergent factory as a case study. Moreover, the objective of the investigation is to put forth a model within a fully ambiguous setting, as this allows for the model’s practicality in addressing real-world issues and achieving more precise outcomes. This problem is modeled as ranking 5 suppliers according to 15 criteria selected from the literature. For this aim, a stepwise solution methodology consisting of fuzzy DEMATEL, fuzzy QFD, fuzzy TOPSIS, and fuzzy VIKOR approaches is developed for the first time in order to cover all aspects of the problem e.g., the fuzzy DEMATEL is used to select the effective criteria and eliminate the unnecessary ones, the fuzzy QFD is used to determine importance weight of each selected criterion, and the fuzzy TOPSIS and VIKOR approaches are used to rank the suppliers separately. According to the computations made on the data of the case study, the ranking of the suppliers is obtained by both of the methods while some similarities of the obtained rankings are discovered. Consequently, this study introduces a hybrid model that combines highly favorable decision-making methodologies specifically designed for a fully ambiguous environment.
A Semi-Analytical Solution for the Stress Field and Stress Intensity Factor of Hole-Edge Cracks Using Improved Muskhelishvili Method
Authors: Gao Haibiao , Qin Yixiao , Wang Linhao
Published: February 2024

A semi-analytical solution is provided to obtain the stress intensity factors (SIFs) of hole-edge cracks with different configurations and the stress fields along the crack propagation direction in an infinite isotropic plane. The complicated solution procedure while using the Muskhelishvili method is improved by expanding an irrational mapping function into an approximate rational function so that singular integral equations could be converted to linear equations. The proposed method used to obtain the SIFs of symmetrical cracks emanating from circular or elliptical holes and a single crack emanating from a circular hole is compared with other methods in the literature. The results show that this method is universal and accurate for hole-edge cracks. In addition, the effects of the lengths of the asymmetrical cracks and the ratio of the semi-axes of the elliptical hole ([Formula: see text]/[Formula: see text] on the SIFs are studied, which have not been previously reported.
A refinement of Morse–Novikov cohomology on manifolds with boundary and the cohomology of the space of solutions of kerΔ𝜃
Authors: Al-Zamil Qusay S. A.
Published: February 2024

In this paper, we consider the Morse–Novikov coboundary operator [Formula: see text] where [Formula: see text], and which is given by [Formula: see text], and for which the associated Morse–Novikov cohomology groups are denoted by [Formula: see text]. The ultimate objective of this paper is to uncover more geometric and topological insights about [Formula: see text] when the boundary of [Formula: see text] is nonvanishing. To begin, we employ a different approach to prove that the concrete realizations of the Morse–Novikov cohomology groups of [Formula: see text] intersect at the origin, and then we use the long exact sequence and cohomological algebra as powerful tools to decompose the absolute and relative Morse–Novikov cohomologies into interior and boundary portions, respectively. On the other hand, we use a novel reasoning based on cohomological algebra to determine the cohomology of [Formula: see text], and as a result the absolute Morse–Novikov cohomology of [Formula: see text] can be characterized in terms of two successive degrees in just one degree of the cohomology of [Formula: see text]. Consequently, the cohomology of [Formula: see text] can be recovered from the interior and boundary sections.
Crossed-IoT Device Portability of Electromagnetic Side Channel Analysis: Challenges and Dataset
Authors: Yasarathna Tharindu Lakshan , Navanesan Lojenaa , Barcque Simon , Sayakkara Asanka , Le-Khac Nhien-An
Published: February 2024

Internet of Things (IoT) refers to the network of interconnected physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity, enabling them to collect and exchange data. IoT forensics aim to investigate cybercrimes, security breaches, and other malicious activities that may have taken place on these connected devices. In particular, Electromagnetic Side-Channel Analysis (EM-SCA) has become an essential tool for IoT forensics due to its ability to reveal confidential information about the internal functions of IoT devices without interfering with these devices or wiretapping their networks. However, the accuracy and reliability of EM-SCA results can be limited by device variability, environmental factors, and data collection and processing methods. In fact, very few studies have explored potential solutions to address the significant impact of these limitations on the accuracy of EM-SCA approaches applied to crossed IoT devices. Therefore, this paper examines the impact of device variability on the accuracy and reliability of machine learning (ML)-based approaches for EM-SCA. We first present the background, basic concepts and techniques used to evaluate the limitations of current EM-SCA approaches and datasets. Our study then addresses one important limitation, which is caused by the multi-core architecture of the processors (aka. System-On-Chip). We present an approach to collect the EM-SCA datasets and demonstrate the feasibility of using transfer learning to obtain more meaningful and reliable results from EM-SCA in IoT forensics of crossed-IoT devices. Moreover, this study contributes a new dataset for using deep learning (DL) models in analyzing Electromagnetic Side-Channel data with regard to the cross-device portability matter.
On Verified Automated Reasoning in Propositional Logic: Teaching Sequent Calculus to Computer Science Students
Authors: Lund Simon Tobias , Villadsen Jørgen
Published: February 2024

As the complexity of software systems is ever increasing, so is the need for practical tools for formal verification. Among these are automatic theorem provers, capable of solving various reasoning problems automatically, and proof assistants, capable of deriving more complex results when guided by a mathematician/programmer. In this paper we consider using the latter to build the former. In the proof assistant Isabelle/HOL we combine functional programming and logical program verification to build a theorem prover for propositional logic. We also consider how such a prover can be used to solve a reasoning task without much mental labor. The development is extended with a formalized proof system for writing machine-checked sequent calculus proofs. We consider how this can be used to teach computer science students about logic, automated reasoning and proof assistants.
Accelerated Value Iteration for Nonlinear Zero-Sum Games with Convergence Guarantee
Authors: Wang Yuan , Zhao Mingming , Liu Nan , Wang Ding
Published: February 2024

In this paper, an accelerated value iteration (VI) algorithm is established to solve the zero-sum game problem with convergence guarantee. First, inspired by the successive over relaxation theory, the convergence rate of the iterative value function sequence is accelerated significantly with the relaxation factor. Second, the convergence and monotonicity of the value function sequence are analyzed under different ranges of the relaxation factor. Third, two practical approaches, namely the integrated scheme and the relaxation function, are introduced into the accelerated VI algorithm to guarantee the convergence of the iterative value function sequence for zero-sum games. The integrated scheme consists of the accelerated stage and the convergence stage, and the relaxation function can adjust the value of the relaxation factor. Finally, including the autopilot controller, the fantastic performance of the accelerated VI algorithm is verified through two examples with practical physical backgrounds.
Applications of moments of Dirichlet coefficients in elliptic curve families
Authors: Batterman Zoë , Jambhale Aditya , Miller Steven J. , Narayanan Akash L. , Sharma Kishan , Yang Andrew , Yao Chris
Published: February 2024

The moments of the coefficients of elliptic curve [Formula: see text]-functions are related to numerous important arithmetic problems. Rosen and Silverman proved a conjecture of Nagao relating the first moment of one-parameter families satisfying Tate’s conjecture to the rank of the corresponding elliptic surface over [Formula: see text]; one can also construct families of moderate rank by finding families with large first moments. Michel proved that if [Formula: see text] is not constant, then the second moment of the family is of size [Formula: see text]; these two moments show that for suitably small support the behavior of zeros near the central point agree with that of eigenvalues from random matrix ensembles, with the higher moments impacting the rate of convergence.

In his thesis, Miller noticed a negative bias in the second moment of every one-parameter family of elliptic curves over [Formula: see text] whose second moment had a (by him) calculable closed-form expression, specifically the first lower-order term which does not average to zero is on average negative. This Bias Conjecture has now been confirmed for many families; however, these are highly non-generic families as they are specially chosen so that the resulting Legendre sums can be determined. For cohomological reasons, each subsequent term in the second moment expansion is smaller than the previous by a factor on the order of [Formula: see text], and thus numerically, it is hard to see a term of size [Formula: see text] with a small negative average as it can be masked by a term of size [Formula: see text] which averages to zero.

Inspired by the recent successes by Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Alexey Pozdnyakov and others in investigations of murmurations of elliptic curve coefficients with machine learning techniques, we pose a similar problem for trying to understand the Bias Conjecture. As a start to this program, we numerically investigate the bias conjecture and provide a visual representation of the bias for the second moment. We find a one-parameter family of elliptic curves whose bias is positive for half the primes. However, the numerics do not offer conclusive evidence that negative bias for the other half is enough to overwhelm the positive bias. Without an explicit expansion for the second moment, we are not able to extract potential negative bias of the order [Formula: see text] term.
Disruption of hepatic mitochondrial pyruvate and amino acid metabolism impairs gluconeogenesis and endurance exercise capacity in mice
Authors: Martino Michael R. , Habibi Mohammad , Ferguson Daniel , Brookheart Rita T. , Thyfault John P. , Meyer Gretchen A. , Lantier Louise , Hughey Curtis C. , Finck Brian N.
Published: February 2024

Martino and colleagues examined the effects of inhibiting hepatic gluconeogenesis on exercise performance and systemic metabolism during treadmill exercise in mice. Combined inhibition of gluconeogenesis from lactate/pyruvate and alanine impaired exercise endurance and led to hypoglycemia during and after exercise. In contrast, suppressing either pyruvate-mediated or alanine-mediated gluconeogenesis alone had no effect on these parameters. These findings provide new insight into the molecular nodes that coordinate the metabolic responses of muscle and liver during exercise.
Investigation of the Impact of Chemical Modifications on the Photostability of Polymethyl Methacrylate
Authors: Ibraheem Hanan A. , El-Hiti Gamal A. , Yousif Emad , Ahmed Dina S. , Hashim Hassan , Kariuki Benson M.
Published: February 2024

For practical application, it is crucial to ensure that polymeric materials are protected against degradation due to aging and ultraviolet (UV) irradiation. A range of advancements in developing novel photostabilizers has been made in the last few years. Another approach is the alteration of polymer structures to enhance their ability to resist photodegradation and photooxidation on exposure to UV light for extended periods in harsh conditions. Polymeric chain modifications have proved to be efficient in increasing the photostability of materials. The current work deals with the surface functionalization of polymethyl methacrylate (PMMA) by incorporating organotin moieties on the polymer backbone. PMMA reacts with ethylenediamine to attach amino groups to the polymer chains. The amino group reacts with 2‐hydroxynaphthaldehyde to produce the corresponding Schiff base. Adding trisubstituted (methyl, butyl, and phenyl) tin chloride led to the addition of organometallic residence to the polymeric chains. Thin films of the modified PMMA were made and irradiated with ultraviolet light for long durations to test the effect of chain modification on the photostability of polymeric materials. The effect of the substituent on the tin atom on the photostability of PMMA has been analyzed. Various methods were used for assessment, including infrared spectroscopy, weight loss, surface morphology, and roughness factor. The modified polymers showed increased resistance to photodegradation and had lower roughness factor, weight reduction, surface damages, and small fragments generated compared to the blank PMMA. The polymer containing phenyl substituents showed the most apparent photostabilization effect and the least destructive changes in the PMMA surface on photoirradiation.
Clustered Cystic Changes in Long-Term Follow-Up Thin-Section Computed Tomographic Findings in Fibrotic Nonspecific Interstitial Pneumonia
Authors: Akira Masanori , Suganuma Narufumi
Published: February 2024

Objectives. The purpose of this study was to retrospectively assess cystic changes in findings on follow-up CT scans of patients with fibrotic nonspecific interstitial pneumonia (NSIP). Methods. The initial and last high-resolution CT scans of 58 patients with pathologically proven fibrotic NSIP were evaluated retrospectively. The median follow-up periods were 48 months (range, 12–183 months). The pattern, extent, and distribution of abnormal CT findings were compared with findings in the same region on previous and subsequent CT scans with a focus on cystic lesions. Results. Cystic lesions in a cluster were shown in 16 patients (28%) with fibrotic NSIP on the last CT scans. Focal clustered cysts were found in 5 cases and diffuse clustered cysts were seen in 11 cases. Focal clustered cysts mimicked honeycombing seen in usual interstitial pneumonia (UIP). Diffuse cysts were uniform in size in 7 of the 11 cases. Traction bronchiectasis in a cluster was seen in 3 of the 7 cases. The clustered cystic changes on CT during the course of NSIP mainly consisted of traction bronchiectasis and bronchiolectasis. Conclusions. Long-standing NSIP did not form honeycombing. The clustered cysts in patients with fibrotic NSIP were mainly remodeling of bronchiectasis.
Coming to Terms: Korean Mothers’ Adaptation to Child Loss from Cancer
Authors: Kim Min Ah , Yi Jaehee , Sang Jina , Lee Seong Young
Published: February 2024

Bereaved mothers with a deep bond to their sick child experience a distinct grieving process. This study delved into how Korean bereaved mothers come to terms with their child’s death from cancer by exploring their bereavement and adaptation processes. In‐depth interviews with 15 bereaved mothers yielded 14 subthemes within three overarching themes. These themes included the diverse coping mechanisms employed by the participants, attribution of meaning to their children’s deaths, and personal growth intertwined with their experiences. These findings underscore the critical need for professional support to assist these mothers in their search for meaning and coping with the loss, particularly in the context of the unique cultural context of Korea. Understanding cultural variations is crucial for expanding the knowledge base in this field and advancing culturally informed interventions to support mothers who grapple with the loss of a child due to cancer across varied cultural settings.
Supplementary figure S4 from Natural History of Germline BRCA1 Mutated and BRCA Wild-type Triple-negative Breast Cancer
Authors: Gardi Nilesh , Chaubal Rohan , Parab Pallavi , Pachakar Sunil , Kulkarni Suyash , Shet Tanuja , Joshi Shalaka , Kembhavi Yogesh , Chandrani Pratik , Quist Jelmar , Kowtal Pradnya , Grigoriadis Anita , Sarin Rajiv , Govindarajan Raman , Gupta Sudeep
Published: February 2024

This figure shows ASCAT copy number profile of each sample.
Supplementary Table S5 from Natural History of Germline BRCA1 Mutated and BRCA Wild-type Triple-negative Breast Cancer
Authors: Gardi Nilesh , Chaubal Rohan , Parab Pallavi , Pachakar Sunil , Kulkarni Suyash , Shet Tanuja , Joshi Shalaka , Kembhavi Yogesh , Chandrani Pratik , Quist Jelmar , Kowtal Pradnya , Grigoriadis Anita , Sarin Rajiv , Govindarajan Raman , Gupta Sudeep
Published: February 2024

This table shows the annotation information from Annovar for clonal architecture of Patient P2
Neurological Disorders in Takotsubo Syndrome: Clinical Phenotypes and Outcomes
Authors: Santoro Francesco , Núñez Gil Iván J. , Arcari Luca , Vitale Enrica , Martino Tommaso , El‐Battrawy Ibrahim , Guerra Federico , Novo Giuseppina , Mariano Enrica , Musumeci Beatrice , Cacciotti Luca , Caldarola Pasquale , Montisci Roberta , Ragnatela Ilaria , Cetera Rosa , Vedia Oscar , Blanco Emilia , Pais Javier Lopez , Martin Agustin , Pérez‐Castellanos Alberto , Salamanca Jorge , Bartolomucci Francesco , Akin Ibrahim , Thiele Holger , Eitel Ingo , Stiermaier Thomas , Brunetti Natale Daniele
Published: February 2024

Background

Neurological disorders as a risk factor for Takotsubo syndrome (TTS) are not well characterized. The aim of the study was to evaluate TTS‐associated neurological phenotypes and outcome.

Methods and Results

Patients with TTS enrolled in the international multicenter GEIST (German Italian Spanish Takotsubo) registry were analyzed. Prevalence, clinical characteristics, and short‐ and long‐term outcomes of patients with TTS were recorded. A subgroup analysis of the 5 most represented neurological disorders was performed.

In total, 400 (17%) of 2301 patients had neurological disorders. The most represented neurological conditions were previous cerebrovascular events (39%), followed by neurodegenerative disorders (30.7%), migraine (10%), epilepsy (9.5%), and brain tumors (5%). During hospitalization, patients with neurological disorders had longer in‐hospital stay (8 [interquartile range, 5–12] versus 6 [interquartile range, 5–9] days;
P
<0.01) and more often experienced in‐hospital complications (27% versus 16%;
P
=0.01) mainly driven by cardiogenic shock and in‐hospital death (12% versus 7.6% and 6.5% versus 2.8%, respectively; both
P
<0.01). Survival analysis showed a higher mortality rate in neurological patients both at 60 days and long‐term (8.8% versus 3.4% and 23.5% versus 10.1%, respectively; both
P
<0.01). Neurological disorder was an independent predictor of both the 60‐day and long‐term mortality rate (odds ratio, 1.78 [95% CI, 1.07–2.97];
P
=0.02; hazard ratio, 1.72 [95% CI, 1.33–2.22]; both
P
<0.001). Patients with neurodegenerative disorders had the worst prognosis among the neurological disease subgroups, whereas patients with TTS with migraine had a favorable prognosis (long‐term mortality rates, 29.2% and 9.7%, respectively).

Conclusions

Neurological disorders identify a high‐risk TTS subgroup for enhanced short‐ and long‐term mortality rate. Careful recognition of neurological disorders and phenotype is therefore needed.
BNPower: a power calculation tool for data-driven network analysis for whole-brain connectome data
Authors: Bi Chuan , Nichols Thomas , Lee Hwiyoung , Yang Yifan , Ye Zhenyao , Pan Yezhi , Hong Elliot , Kochunov Peter , Chen Shuo
Published: February 2024

Network analysis of whole-brain connectome data is widely employed to examine systematic changes in connections among brain areas caused by clinical and experimental conditions. In these analyses, the connectome data, represented as a matrix, are treated as outcomes, while the subject conditions serve as predictors. The objective of network analysis is to identify connectome subnetworks whose edges are associated with the predictors. Data-driven network analysis is a powerful approach that automatically organizes individual predictor-related connections (edges) into subnetworks, rather than relying on pre-specified subnetworks, thereby enabling network-level inference. However, power calculation for data-driven network analysis presents a challenge due to the data-driven nature of subnetwork identification, where nodes, edges, and model parameters cannot be pre-specified before the analysis. Additionally, data-driven network analysis involves multivariate edge variables and may entail multiple subnetworks, necessitating the correction for multiple testing (e.g., family-wise error rate (FWER) control). To address this issue, we developed BNPower, a user-friendly power calculation tool for data-driven network analysis. BNPower utilizes simulation analysis, taking into account the complexity of the data-driven network analysis model. We have implemented efficient computational strategies to facilitate data-driven network analysis, including subnetwork extraction and permutation tests for controlling FWER, while maintaining low computational costs. The toolkit, which includes a graphical user interface and source codes, is publicly available at the following GitHub repository: https://github.com/bichuan0419/brain_connectome_power_tool
Medinilla campana, M. flammea, M. purpureoviridis and M. rangkong (Melastomataceae), four new species from Borneo
Authors: LIN CHE-WEI
Published: February 2024

Four new species of Medinilla from Borneo, M. campana, M. flammea, M. purpureoviridis and M. rangkong are described and illustrated based on morphological characteristics. Medinilla campana most resembles M. rubicunda but differs from it by having campanulate hypanthium that thickens significantly towards the distal end (vs. cupuliform and not thickened) and the anther has an underdeveloped, obtuse dorsal spur (vs. well-developed, beak-like dorsal spur). Medinilla flammea is similar to M. rubicunda, but differs in having erect to suberect habit (vs. spreading), the inner pair of lateral veins in the lamina diverges from the midrib above the base (vs. veins diverged from the base) and orange to vermilion petals (vs. white). Medinilla purpureoviridis is somewhat similar to M. laxiflora, but it can easily be distinguished from the latter by its 4-merous flowers (vs. 5-merous) and the cymose branching of approximately 3 times (vs. 5 to 9 times). In addition, the hypanthium is distally thickened (vs. not thickened in M. laxiflora). Medinilla rangkong most resembles M. sessiliflora, but differs in its cordate leaf base (vs. acute), the lateral two veins diverging from the base (vs. departing about 5 mm from the base of midvein), and the hypanthium with four minutely apiculate teeth (vs. with four conspicuous, triangular calyx lobes).
A new species of Meriania (Melastomataceae: Merianieae) with winged hypanthium from the Cordillera del Condor in Ecuador
Authors: JIMÉNEZ MARCO M. , ITURRALDE GABRIEL A. , FIERRO MINDA ALISSON , OCUPA-HORNA LUIS , MENDOZA JOHNY , GARZÓN-SUÁREZ HENRY X.
Published: February 2024

A new species of Meriania, from the Cordillera del Condor in Ecuador is described and illustrated here. With this new addition, the number of species of the genus increases to 32 in this country. Meriania urdialesii has few-flowered, pendulous inflorescences with paraclades in regular dichasia, reddish-orange campanulate flowers, 10-winged hypanthium, and isomorphic stamens with connectives that are not prolonged below the thecae. In this paper, we compare the new species with the most similar species that also feature ornamented hypanthia: Meriania campii, M. costata, and M. sumatika. In addition, the taxonomic similarities of the new entity are discussed, and information about its distribution, habitat, and conservation status is provided.
A new species of Caecidotea (Crustacea: Isopoda: Asellidae) from a well in the western slope of Mexico, with occurrence records of C. alvarezi
Authors: GARCÍA-VÁZQUEZ LEONARDO , RODRÍGUEZ-ALMARAZ GABINO A. , BARRAGÁN-RAMÍREZ JOSÉ LUIS , QUIROZ-MARTÍNEZ BENJAMÍN
Published: February 2024

Caecidotea isabelae sp. nov., a new freshwater asellid isopod species from Jalisco, Mexico is described. During fieldwork in 2021, we discovered eight new populations of freshwater isopods belonging to the genus Caecidotea. One population corresponded to a new species, Caecidotea isabelae sp. nov., while the other seven populations were identified as Caecidotea alvarezi. These populations are reported from freshwater bodies on the western Trans-Mexican Volcanic Belt, expanding the distributional range of C. alvarezi through the state of Jalisco. The new species can be distinguished of their congeners mainly by the protopod of pleopod I triangular with 3 retinacula, exopod of pleopod III with 6 presutural setae, pleopod IV with 3 spines in the proximal external margin. The present study increases the number of known epigean asellid species in Mexico to 12, and the number of currently described Caecidotea species in North America to 102 with three subspecies.
Taxonomic revision of the Scaled Antbird Drymophila squamata (Aves: Thamnophilidae) reveals a new and critically endangered taxon from northeastern Brazil
Authors: LIMA RAFAEL DANTAS , FAZZA ANA CRISTINA , MALDONADO-COELHO MARCOS , MIYAKI CRISTINA YUMI , PIACENTINI VÍTOR Q.
Published: February 2024

The Scaled Antbird Drymophila squamata is a suboscine passerine endemic to the Atlantic Forest of eastern Brazil. Two subspecies, putatively diagnosed by the presence/absence of white spots on the crown, have traditionally been recognized: the nominate, ranging from Pernambuco to Bahia in northeastern Brazil, and D. squamata stictocorypha, from Minas Gerais to Santa Catarina in southeastern and southern Brazil. Here we combine morphological, acoustic, and genetic data to examine geographic variation in and revise the taxonomy of D. squamata. We show that there are two separately evolving population lineages in D. squamata, one south and the other north of the São Francisco River. The latter is unnamed and is thus described herein. We found that crown variation is not as geographically structured as previously thought, and thus we suggest that D. squamata stictocorypha is not a valid taxon. Finally, we also provide evidence of clinal variation in the species’ vocalizations and underscore the importance of broad geographic sampling when assessing species limits using vocalizations.
Two new species of Aulacaspis Cockerell, 1893 (Hemiptera: Coccomorpha: Diaspididae) from China, with an identification key to Chinese species
Authors: JIAN QIAN , XING JICHUN
Published: February 2024

Two new armoured scale insect species (Hemiptera: Coccomorpha: Diaspididae) are described and illustrated from Guizhou Province, China. Aulacaspis pericampylus sp. n. was collected from Pericampylus glaucus (Menispermaceae) and Aulacaspis multispinata sp. n. was collected from Cinnamomum camphora (Lauraceae). The type specimens of both new species are deposited in the Institute of Entomology, Guizhou University, Guiyang, China (GUGC). A key to the Aulacaspis species known from China, based on the morphology of the adult females, is provided.
Correlations of ADAMTS13 Expression with Kidney Injury and Inflammatory Cytokine Changes in Rats with Preeclampsia
Authors: Sun Guixia , Yu Xiaohan , Zhou Yan , Cao Qinxue , Zhang Dongle
Published: February 2024

This study investigated the altered expression of ADAMTS13 (a metalloproteinase) in a rat model of preeclampsia (PE)-induced kidney injury, along with its connection to inflammatory cytokines. Sprague-Dawley rats were divided into PE and Control groups. PE group rats were induced with
Nω-Nitro-L-arginine methyl ester hydrochloride (L-NAME) to simulate PE-induced kidney injury. Key indicators such as systolic and diastolic blood pressure and proteinuria were assessed to confirm PE model success. Kidney tissue changes were examined through histology and cell
apoptosis, while ADAMTS13 expression was studied using Western blotting and qRT-PCR. Plasma ADAMTS13 levels were correlated with interleukin-6 (IL-6) and IL-8 cytokines in PE rats. Elevated SBP, DBP, and proteinuria were evident in L-NAME-treated pregnant rats. Microscopic examination revealed
glomerulocystic changes, thickened basement membranes, and increased apoptotic cells. Compared to Controls, PE rats exhibited decreased ADAMTS13 expression in renal tissues and plasma. Plasma IL-6 and IL-8 levels were elevated, inversely proportional to ADAMTS13 concentration in PE rats. In
conclusion, PE-induced kidney injury reduced ADAMTS13 levels, correlating with heightened IL-6 and IL-8 concentrations, suggesting an interplay between ADAMTS13 and inflammatory cytokines.
Impact of Assimilation of the Tropical Cyclone Strong Winds Observed by Synthetic Aperture Radar on Analyses and Forecasts
Authors: Ikuta Yasutaka , Shimada Udai
Published: February 2024

A few high-wind observations have been obtained from satellites over the ocean around tropical cyclones (TCs), but the impact of data assimilation of such observations over the sea on forecasting has not been clear. The spaceborne synthetic aperture radar (SAR) provides high-resolution and wide-area ocean surface wind speed data around the center of a TC. In this study, the impact of data assimilation of the ocean surface wind speed of SAR (OWSAR) on regional model forecasts was investigated. The assimilated data were estimated from SAR on board Sentinel-1 and RADARSAT-2. The bias of OWSAR depends on wind speed, the observation error variance depends on wind speed and incidence angle, and the spatial observation error correlation depends on the incidence angle. The observed OWSAR is screened using the variational quality control method with the Huber norm. In the case of Typhoon Hagibis (2019), OWSAR assimilation modified the TC low-level inflow, which also modified the TC upper-level outflow. The propagation of this OWSAR assimilation effect from the surface to the upper troposphere was given by a four-dimensional variational method that searches for the optimal solution within strong constraints on the time evolution of the forecast model. Statistical validation confirmed that errors in the TC intensity forecast decreased over lead times of 15 h, but this was not statistically significant. The validation using wind profiler observations showed that OWSAR assimilation significantly improved the accuracy of wind speed predictions from the middle to the upper level of the troposphere.

Significance Statement

The purpose of this study was to demonstrate the impact of the assimilation of ocean surface wind speed by synthetic aperture radar (SAR) on regional model predictions. In the case of tropical cyclones, ocean surface wind speed assimilation modified inflows in the lower layer and outflows in the upper layer. The results indicate that the SAR assimilation improves the accuracy of wind speed forecasts in the middle to upper troposphere.
Religion and lived space: A geographical reading of La Religion de près
Authors: Dejean Frédéric
Published: February 2024

Spatial approaches to religion have grown significantly in recent years and offer original perspectives for understanding new religious realities in the context of secularized countries. This article is an opportunity to show the richness of this “spatial turn” through an analysis of the theoretical tools developed by the French anthropologist Albert Piette in his work La religion de près: l’activité religieuse en train de se faire. Although this work, which has a connection to actor-network theory, does not deal directly with space, it exhibits a geographical sensibility that we will reveal. We show that these tools can be used to demonstrate a complex geography of contemporary religion—in particular the existence of a socio-spatial dialectic—and illustrate their fruitfulness with the case of an ethnographic study of two Quebec evangelical churches.
Book review: Amanda Weidman, Brought to Life by the Voice: Playback Singing and Cultural Politics in South India
Authors: Subramanian Lakshmi
Published: February 2024

Amanda Weidman, Brought to Life by the Voice: Playback Singing and Cultural Politics in South India (Oakland: University of California Press, 2021), 270 pp. ISBN 978-0-520-37706-6
Optimal trajectory planning of robot energy consumption based on improved sparrow search algorithm
Authors: Zhou Yaosheng , Han Guirong , Wei Ziang , Huang Zixin , Chen Xubing , Wu Jianjun
Published: February 2024

In order to reduce the energy consumption of the welding robot and ensure the cooperative movement of the robot joints, a trajectory planning method with optimal energy consumption based on improved sparrow search algorithm is proposed. Firstly, the trajectory planning model with optimal energy consumption is established based on the joint torque and angular velocity of the robot. To make the velocity, acceleration and jerk of each joint of the robot be bounded and continuous, the joint space trajectory is constructed with seventh degree B-spline curve. The total energy consumption of the robot is calculated by combining kinematic and dynamic parameters. On the basis of improved sparrow search algorithm, the time series corresponding to the optimal energy consumption is solved by using elite reverse learning, non-dominated sorting and Gaussian-Cauchy variation strategy, and then the optimal continuous motion trajectory of energy consumption is planned. The simulation results show that the proposed method can not only achieve continuous smooth control objective, but also effectively reduce energy consumption.
Inspection of intermodular connection locations for multistory modular buildings
Authors: Moon Jae Sang , Seo Wonseok , Ahn Hyeunguk , Kim Jinyoung
Published: February 2024

Modular construction is a method of construction that involves prefabricating modular indoor spaces in a factory and then assembling them at the construction site. However, dimensional errors made during production in the modular manufacturing factory may hinder assembly at the construction site and delay the entire construction process. In particular, as the quality of intermodular connections determines the structural performance and serviceability of the entire modular building, meticulous quality control is required for the connections. In this study, a method is developed for inspection of the intermodular connection locations to meet the requirements of being accurate, inexpensive, easy-to-use, rapid, and operable by a single person, and then tested in a modular factory. The proposed inspection method consists of three parts: (a) a laser meter mounted on a gimbal, (b) target reflectors based on the tumbling doll principle, and (c) a mobile device as a remote control and for data storage, data post-processing, and visualization of results. The proposed inspection process was tested on a modular unit that had been manufactured at a modular factory; the proposed method outperformed the conventional method in terms of accuracy, inspection time, and work safety. The proposed inspection method allows the accurate and rapid inspection of locations of intermodular connection holes and, thus, its use in modular factories is likely to improve the economics and efficiency of modular construction.
A temperature control algorithm for lithography machine based on generalized predictive control and BP neural network PI control
Authors: Lan Zhou , Chen Jingsong , Xue Cheng , Lan Jun , Wang Bing , Wang Yupu , Yang Yong
Published: February 2024

Temperature stability is a critical factor affecting the performance of the most subsystems in the lithography system, due to the high precision and sensitivity of system components to temperature variations. The temperature control system of the lithography machine is characterized by its large inertial constant, time delay characteristics, as well as susceptibility to multiple disturbances. The temperature control system of the lithography machine chiefly requires response speed, high accuracy, and stable and constant temperature control. The contribution of this study is not only avoiding complex precision modeling processes based on real-time parameter estimation and neural network self-tuning but also improving the performance of temperature control in real time under external disturbances. A novel adaptive algorithm with a cascade structure based on generalized predictive control (GPC) and backpropagation (BP) neural network proportional-integral (PI) control is successfully proposed for high accuracy temperature control of lithography machine with a large inertial constant, time delay, and multiple disturbances. In this study, firstly, the liquid circulating temperature control system is developed based on heat exchanger and heater. Secondly, an adaptive controller composed of GPC and BP neural network PI control is successfully proposed. A BP neural network is employed to enable the parameters of the PI controller to adjust in real time, and the mathematical model parameters of the control system are identified in real time by the least square method. Also, the performance of the proposed controller is evaluated comparing with conventional PI controller and GPC controller in terms of robustness and quantitative study of error analysis. Finally, the temperature stability and robustness of the temperature control system controlled with the proposed adaptive GPC-PI algorithm has been investigated by the simulation results carried out in different working scenarios. The simulation results show that the steady-state error from the proposed algorithm is less than 0.01°C under the action of disturbance input. It can effectively counteract the influence of environmental interference and time-varying system parameters. The results of the simulation experiment indicate that the proposed adaptive GPC and PI control algorithm exhibits significant advantages in terms of control accuracy, anti-interference ability, and robustness compared to the conventional control method.
Supersessionism and the Cult Attitude of Stephen and Hebrews
Authors: Moore Nicholas J.
Published: February 2024

In the face of continued debates about Christian supersessionism with regard to Judaism, this article revisits two texts which have been thought to display the harshest anti-temple attitudes in the New Testament: Stephen’s speech in Acts 7, and the Letter to the Hebrews. Many scholars believe these two texts are connected, and a perceived anti-cultic attitude forms one of the key alleged similarities between the two. The article first examines shared lexical and conceptual points between the two texts, affirming their proximity. It then examines each text’s cult attitude in turn. Stephen portrays the temple as divinely given yet always subordinate to God’s heavenly presence. Hebrews frames deficiencies in the Levitical cultus as divinely intended in light of the heavenly tabernacle. These texts therefore do not condemn but instead relativize Israel’s earthly sanctuary/ies, in keeping with themes in Israel’s Scriptures, and thus should not be regarded as supsersessionist.
Oil, materiality and International Relations
Authors: Dannreuther Roland
Published: February 2024

Oil is a major topic in International Relations (IR). However, the discipline has tended to focus primarily on the effects and impacts of oil, particularly in relation to conflict, war and empire, and on the international political economy of oil, such as the role of the large oil companies and the oil-rich producer states. This article offers a more holistic approach by adopting a new materialisms framework. This framework has the physical materiality of oil, and its agentic capacity to produce social and political relations over time and space, at its centre. This offers new perspectives along the material journey of oil from exploration, production to transportation, processing and consumption. This, in turn, provides a more differentiated history of oil as a material force that shapes human and political interaction. The benefit of this approach is that it requires IR to be in a more substantive dialogue with other disciplines, most notably with human geography which has a strong tradition of research on energy and spatiality, but also with other disciplines in the social sciences and with the growing body of work in energy humanities. In addition, adopting a new materialisms approach to the study of oil acts as a potential template for the study of other energy resources and products, such as gas and coal as well as renewables such as wind and solar energy.