bluuebunny/crossref_metadata_2025 huggingface dataset:
Neoliberalism and Radical Rights: On the Work and Theory of Law and Organising
Authors: Fay William
Published: September 2022

This article aims to contribute to scholarship regarding the critique of rights through the examination of the role of rights discourse in the furtherance of what is generally termed ‘community organising’—in particular, tenant organising—in the social and political context of neoliberalism. Conceptions of neoliberalism advanced in the work of David Harvey, Michel Foucault, Wendy Brown, and Bonnie Honig are synthesised to explicate the material and discursive role of law in the maintenance and furtherance of the neoliberal project. The article assesses the left-legal critique of rights presented primarily through the Critical Legal Studies Movement alongside the role of legal practice and legal discourse in countering neoliberalism. The article argues that rights claims concerning collective organisation, such as those commonly afforded to workers and trade unions, present a unique exception to the left-legal critique of rights in providing the means by which oppressive social relations may not only be remedies, but overcome. The works of Chantal Mouffe and of Roberto Unger are instructive in this regard and are placed in conversation with theories of community and labour organising. The article concludes by sketching the application of this conception of organising rights to the problem of housing and tenants’ rights under neoliberalism.
Photoplethysmography temporal marker-based machine learning classifier for anesthesia drug detection
Authors: Khalid Syed Ghufran , Ali Syed Mehmood , Liu Haipeng , Qurashi Aisha Ghazal , Ali Uzma
Published: September 2022

Anesthesia drug overdose hazards and lack of gold standards in anesthesia monitoring lead to an urgent need for accurate anesthesia drug detection. To investigate the PPG waveform features affected by anesthesia drugs and develop a machine-learning classifier with high anesthesia drug sensitivity. This study used 64 anesthesia and non-anesthesia patient data (32 cases each), extracted from Queensland and MIMIC-II databases, respectively. The key waveform features (total area, rising time, width 75%, 50%, and 25%) were extracted from 16,310 signal recordings (5-s duration). Discriminant analysis, support vector machine (SVM), and K-nearest neighbor (KNN) were evaluated by splitting the dataset into halve training (11 patients, 8570 segments) and halve testing dataset (11 patients, 7740 segments). Significant differences exist between PPG waveform features of anesthesia and non-anesthesia groups (p < 0.05) except total area feature (p > 0.05). The KNN classifier achieved 91.7% (AUC = 0.95) anesthesia detection accuracy with the highest sensitivity (0.88) and specificity (0.90) as compared to other classifiers. Kohen’s kappa also shows almost perfect agreement (0.79) with the KNN classifier. The KNN classifier trained with significant PPG features has the potential to be used as a reliable, non-invasive, and low-cost method for the detection of anesthesia drugs for depth analysis during surgical operations and postoperative monitoring.

Graphical abstract
Estimating the market risk premium for valuations: arithmetic or geometric mean or something in between?
Authors: Kaserer Christoph
Published: September 2022

It is well-known that using arithmetic averages of yearly return observations leads to downward biased discount rates estimations. Well-known corrections, however, lead to upward biased results under the presence of negative serial correlation. Using a simulation analysis, we first show that a specific variant of the Cooper estimator, labelled as C4 in this paper, leads to robust estimations even under the presence of both serial correlation and heteroscedasticity. We also show that among the simple estimators, i.e. the arithmetic (AM) or geometric mean (GM) or the mean of both (MoM), the first one tends to perform best unless there is a high degree of negative serial correlation. In that case using the so-called mean of means rule would be better. Secondly, using data from Jordà et al. (Q J Econ 134(3):1225–1298, 2019) we find negative serial correlation and heteroscedasticity in market risk premia to be a widely spread phenomenon. Finally, we use this data to derive presumably least biased market risk premia estimations based on the C4 estimator. For the majority of the countries we find that these estimations are somewhere between the arithmetic and geometric average. When comparing these simple estimators among each other based on the empirical data, we find the arithmetic mean and mean of means to perform almost equally well, while the geometric mean clearly underperforms. Moreover, we found some evidence that the MoM is slightly outperforming the AM under a local CAPM perspective, while the opposite tends to be true under a global CAPM perspective. This leads us the cautious conclusion that the mean of means rule used by practitioners has some empirical rationale when there is evidence for substantial negative serial correlation.
Theoretical description of PIV measurement errors
Authors: Cameron Stuart Murray
Published: September 2022

Expressions for particle image velocimetry (PIV) mean error and error variance are derived for iterative deformation method algorithms. The analytical expressions explicitly account for the role of in- and out-of-plane displacements, displacement gradients, particle image diameter, fill factor of the imaging sensor, image noise, light sheet intensity distribution, seeding particle concentration, the interpolation function used to deform PIV images, and the interrogation window size and weighting window. The newly derived analytical expressions show good agreement with errors estimated using synthetic image sets.
How to analyze postoperative radiographs after total hip replacement
Authors: Budzińska Martyna Barbara , Maciąg Bartosz Michał , Żarnovsky Krystian , Kordyaczny Tomasz , Kowalczyk Inga Magdalena , Adamska Olga , Stolarczyk Artur
Published: September 2022

Total hip replacement is one of the most widely performed surgeries. It is stated as the most efficient method of treating end-stage osteoarthritis of the hip joint. What is more, it significantly improves the quality of patients’ lives, relieves them from pain and restores decreased range of motion, provided that is conducted properly. Aim of this article is to indicate which constituents of prosthetic placement can be easily measured on postoperative radiographs and point out how to interpret obtained results. Multiple mechanical factors, such as center of rotation, femoral offset, acetabular offset, acetabular inclination, acetabular anteversion and leg length discrepancy can be measured on postoperative radiographs. To provide a successful surgery and to acquire both radiological and clinical satisfying results, proper prosthetic placement is crucial. Malpositioning of each element, in varying degrees may lead to dislocation or reoperation.
Transit Ridership Modeling at the Bus Stop Level: Comparison of Approaches Focusing on Count and Spatially Dependent Data
Authors: Marques Samuel de França , Pitombo Cira Souza
Published: September 2022

Boarding and alighting modeling at the bus stop level is an important tool for operational planning of public transport systems, in addition to contributing to transit-oriented development. The interest variables, in this case, present two particularities that strongly influence the performance of proposed estimates: they demonstrate spatial dependence and are count data. Moreover, in most cases, these data are not easy to collect. Thus, the present study proposes a comparison of approaches for transit ridership modeling at the bus stop level, applying linear, Poisson, Geographically Weighted and Geographically Weighted Poisson (GWPR) regressions, as well as Universal Kriging (UK), to the boarding and alighting data along a bus line in the city of São Paulo, Brazil. The results from goodness-of-fit measures confirmed the assumption that adding asymmetry and spatial autocorrelation, isolated and together, to the transportation demand modeling, contributes to a gradual improvement in the estimates, highlighting the GWPR and UK spatial estimation techniques. Moreover, the spatially varying relationships between the variables of interest (boardings and alightings) and their predictors (land use and transport system features around the bus stops), shown in the present study, may support land use policies toward transit-oriented development. In addition, by using an approach with little information, the good results achieved proved that satisfactory boarding and alighting modeling can be done in regions where there is a lack of travel demand data, as in the case of emerging countries.
Chemical shift assignments of the C-terminal domain of CaBP1 bound to the IQ-motif of voltage-gated Ca2+ channel (CaV1.2)
Authors: Salveson Ian , Ames James B.
Published: September 2022

The neuronal L-type voltage-gated Ca2+ channel (CaV1.2) interacts with Ca2+ binding protein 1 (CaBP1), that promotes Ca2+-induced channel activity. The binding of CaBP1 to the IQ-motif in CaV1.2 (residues 1644–1665) blocks the binding of calmodulin and prevents Ca2+-dependent inactivation of CaV1.2. This Ca2+-induced binding of CaBP1 to CaV1.2 is important for modulating neuronal synaptic plasticity, which may serve a role in learning and memory. Here we report NMR assignments of the C-terminal domain of CaBP1 (residues 99–167, called CaBP1C) that contains two Ca2+ bound at the third and fourth EF-hands (EF3 and EF4) and is bound to the CaV1.2 IQ-motif from CaV1.2 (BMRB accession no. 51518).
A conceptual model of mindful organizing for effective safety and crisis management. The role of organizational culture
Authors: Petitta Laura , Martínez-Córcoles Mario
Published: September 2022

The Covid-19 pandemic has involved nations world-wide in the necessity to manage and control the spread of infection, and challenged organizations to effectively counteract an unchartered medical crisis while preserving the safety of workers. While the pandemic and geopolitical turmoil caused by the war in Ukraine are recent examples of complex environments that require effective safety and crisis management, organizations may generally need to find ways to deal with the unexpected and reliably perform in the face of fluctuations. Mindful organizing (MO) is defined as the collective capability to detect discriminatory details about emerging issues and act swiftly in response to these details, thus allowing members to anticipate, and recover from, any errors or unexpected events that arise. Organizational culture refers to the mindset shared among members which orients their actions and thus qualifies as a relevant contextual factor that determines whether the specific forms of perceiving and acting entailed by MO may emerge in an organization. The present paper aimed to propose a conceptual model linking organizational culture, MO and organizational outcomes (i.e., safety, reliability, crisis management), and delineate arguments to address the match/mismatch between MO and culture types. Specifically, it is proposed that organizational culture determines the way an organization develops MO and the subsequent ability to handle unexpected events which might jeopardize organizational effectiveness and safety. Our contribution bridges the still disparate fields of MO and organizational culture, and provides scholars and practitioners with a complexity- and uncertainty-sensitive integrative framework in order to intervene on organizational outcomes.
Enzyme immunoassays for the detection of mycotoxins in plant-based milk alternatives: pitfalls and limitations
Authors: Rehagel Christina , Maul Ronald , Gützkow Kim Lara , Akineden Ömer
Published: September 2022

Plant-based milk alternatives (PBMAs) are a potential source of mycotoxin uptake. To ensure food safety, simple and rapid testing methods of PBMAs for mycotoxins are therefore required. This study investigated the applicability of enzyme immunoassay (EIA) methods for direct testing of PBMAs without sample extraction. Mycotoxin analyses included aflatoxin B1 (AFB1), sterigmatocystin (STC), ochratoxin A (OTA), deoxynivalenol (DON), and T-2/HT-2-toxin (T-2/HT-2). It was found that the PBMA matrix negatively affected the EIA to varying degrees, thus affecting the reliability of the results. A dilution of PBMAs of at least 1:8 was necessary to overcome matrix interference. This resulted in calculated detection limits of 0.4 µg/L (AFB1), 2 µg/L (STC), 0.08 µg/L (OTA), 16 µg/L (DON), and 0.4 µg/L (T-2/HT-2). After analysis of 54 PBMA products from German retail stores, positive results in at least one test system were obtained for 23 samples. However, most positive results were near the calculated detection limit. Control analyses of selected samples by LC–MS/MS for AFB1, STC, and OTA qualitatively confirmed the presence of trace amounts of STC in some samples, but quantitative agreement was poor. It was concluded that the high diversity of ingredients used in PBMAs led to a highly variable degree of sample matrix interference even in a 1:8 dilution. Since the use of higher dilutions conflicts with the need to achieve low detection limits, the application of EIA for routine mycotoxin analysis in PBMA for mycotoxins requires further study on the development of a feasible sample preparation method.
Construction of 2D and 3D rock physics templates for quantitative prediction of physical properties of a carbonate reservoir in SW of Iran
Authors: Rahmani Forouzan , Emami Niri Mohammad , Jozanikohan Golnaz
Published: September 2022

The characterization of carbonate rocks is not straightforward, as they often experience complex diagenetic processes causing them to expose wide variations in pore types. This research aims to characterize the properties of a carbonate reservoir with a complicated porous structure through rock physics principles and tools. Two representative wells from an oil field located in SW of Iran were selected, and two-dimensional (2D) and three-dimensional (3D) rock physics templates (RPTs) were constructed by employing the appropriate rock physics models. The porosity, water saturation, and pore type are considered reservoir parameters affecting carbonate rock's elastic properties and indicating the reservoir quality. The 2D RPTs described variations in two reservoir parameters in terms of elastic properties. However, they were not able to simultaneously characterize all three reservoir parameters. The proposed 3D RPTs revealed the underlying relationship of elastic properties with pore aspect ratio, water saturation, and porosity. To validate the constructed RPTs, well logging data, scanning electron microscope images, and thin section images were utilized. The RPTs were also employed to predict the reservoir properties quantitatively, and these predictions were compared with the petrophysical data. The average errors of the predicted porosity and water saturation by 3D RPT were, respectively, 1.22% and 6.66% for well A, and 2.65% and 8.18% for well B. The 2D RPTs provided three sets of predictions for porosity and water saturation (considering three specific pore aspect ratios of 0.03, 0.1, and 0.5), all with higher average errors compared to the predictions by 3D RPT for both wells. The obtained results proved that 3D RPT could predict reservoir properties more accurately. Finally, based on the estimated values of pore aspect ratio, water saturation, and porosity using 3D RPTs, the reservoir under study was divided into distinct depth intervals, and a quality level was assigned to each interval. The introduced rock physics-based procedure for a carbonate reservoir characterization could increase the reliability in predicting the reservoir properties, enhance the ability to detect the reservoir fluid, and thereby reduce the interpretation risk.
The value of CT-based radiomics nomogram in differential diagnosis of different histological types of gastric cancer
Authors: Huang Hao , Xu Fangyi , Chen Qingqing , Hu Hongjie , Qi Fangyu , Zhao Jiaojiao
Published: September 2022

To establish and verify a nomogram based on computed tomography (CT) radiomics analysis to predict the histological types of gastric cancer preoperatively for patients with surgical indications. A sum of 171 patients with gastric cancer were included into this retrospective study. The least absolute shrinkage and selection operator (LASSO) was used for feature selection while the multivariate Logistic regression method was used for radiomics model and nomogram building. The area under curve (AUC) was used for performance evaluation in this study. The radiomics model got AUCs of 0.755 (95% CI 0.650–0.859), 0.71 (95% CI 0.543–0.875) and 0.712 (95% CI 0.500–0.923) for histological prediction in the training, the internal and external verification cohorts. The radiomics nomogram based on radiomics features and Carbohydrate antigen 125 (CA125) showed good discriminant performance in the training cohort (AUC: 0.777; 95% CI 0.679–0.875), the internal (AUC: 0.726; 95% CI 0.5591–0.8933) and external verification cohort (AUC: 0.720; 95% CI 0.5036–0.9358). The calibration curve of the radiomics nomogram also showed good results. The decision curve analysis (DCA) shows that the radiomics nomogram is clinically practical. The radiomics nomogram established and verified in this study showed good performance for the preoperative histological prediction of gastric cancer, which might contribute to the formulation of a better clinical treatment plan.
Characterization and Optimization of Chitosan Production by Aspergillus terreus
Authors: Abo Elsoud Mostafa M. , Mohamed Sahar S. , Selim Manal S. , Sidkey Nagwa M.
Published: September 2022

The production of the amino polysaccharide (chitosan) from crustacean sources has faced many hindrances due to environmental, seasonal and noneconomic issues. On the other hand, mycogenic chitosan has many advantages that make it suitable for many medical and nutritional applications over the non-mycological counterparts. A number of fungal isolates have been screened for chitosan production, where the most potent fungal isolate has been genetically identified using 18S rDNA and selected to be the focus of the current study. The factors affecting chitosan production by the selected fungal isolate have been studied and numerically optimized and validated using Box–Behnken design. The produced chitosan has been collected, purified and characterized for the degree of deacetylation (DDA), molecular weight (MW), water-binding (WBC) and fat-binding capacities (FBC). Results showed that Aspergillus terreus (F3) was the most potent chitosan-producing fungal isolate with maximum validated productivity (2.92 g/l) at the following conditions: glucose, 35.6 g/l; (NH4)2SO4, 4.6 g/l; CaCl2, 0.29 g/l; and pH 7.9 at 23.2 °C for 10 days. The purified chitosan has the following characteristics: 71.9%, DDA; 54.1165 KD, MW; 58.6%, WBC; and 47.6%, FBC. The features and applications of fungal chitosan are not fully uncovered which necessitates further studies.
State-of-the-art literature review methodology: A six-step approach for knowledge synthesis
Authors: Barry Erin S. , Merkebu Jerusalem , Varpio Lara
Published: September 2022

Introduction Researchers and practitioners rely on literature reviews to synthesize large bodies of knowledge. Many types of literature reviews have been developed, each targeting a specific purpose. However, these syntheses are hampered if the review type’s paradigmatic roots, methods, and markers of rigor are only vaguely understood. One literature review type whose methodology has yet to be elucidated is the state-of-the-art (SotA) review. If medical educators are to harness SotA reviews to generate knowledge syntheses, we must understand and articulate the paradigmatic roots of, and methods for, conducting SotA reviews.

Methods We reviewed 940 articles published between 2014–2021 labeled as SotA reviews. We (a) identified all SotA methods-related resources, (b) examined the foundational principles and techniques underpinning the reviews, and (c) combined our findings to inductively analyze and articulate the philosophical foundations, process steps, and markers of rigor.

Results In the 940 articles reviewed, nearly all manuscripts (98%) lacked citations for how to conduct a SotA review. The term “state of the art” was used in 4 different ways. Analysis revealed that SotA articles are grounded in relativism and subjectivism.

Discussion This article provides a 6-step approach for conducting SotA reviews. SotA reviews offer an interpretive synthesis that describes: This is where we are now. This is how we got here. This is where we could be going. This chronologically rooted narrative synthesis provides a methodology for reviewing large bodies of literature to explore why and how our current knowledge has developed and to offer new research directions.
A posteriori error estimators for discontinuous Galerkin method for diffusion problems, based on the hypercircle method
Authors: Alsheikh Dina N. , Katsaounis Theodoros
Published: September 2022

In this work, we apply the hypercircle method to Discontinuous Galerkin (DG) approximations of second order diffusion problems featuring inhomogeneous Dirichlet and Neumann boundary conditions. We focus on the interior penalty discontinuous Galerkin (IPDG) approximations of diffusion problems in primal variational formulation and produce a Prager–Synge theorem for such DG methods. Using the hypercircle method, we derive an a posteriori error estimator in terms of an equilibrated flux. The estimator is proven to be reliable and efficient. Numerical results are presented which illustrate the estimator’s performance.
Role of frailty on cardiac rehabilitation in hospitalized older patients
Authors: Bencivenga Leonardo , Femminella Grazia Daniela , Ambrosino Pasquale , Bosco Quirino , De Lucia Claudio , Perrotta Giovanni , Formisano Roberto , Komici Klara , Vitale Dino Franco , Ferrara Nicola , Maniscalco Mauro , Cacciatore Francesco , Papa Antimo , Rengo Giuseppe
Published: September 2022

Background

Cardiovascular diseases are the leading cause of mortality, morbidity, and disability in the world, especially in the older adults. A relevant proportion of patients admitted to Cardiac Rehabilitation (CR) may suffer from frailty, a complex geriatric syndrome with multifactorial aetiology.

Aims

The hypothesis underlying the study is that frailty complicates the management of older patients undergoing CR. The main objective is, therefore, to determine the relationship between frailty and CR outcomes in hospitalized older adults.

Methods

The participants have been recruited among patients aged ≥ 65 years admitted at the hospital for CR. A Comprehensive Geriatric Assessment (CGA)-based Frailty Index (FI) was created following a standard procedure. The outcome was measured as the ratio between 6-min walk test (6MWT) distance at the end of CR and normal predicted values for a healthy adult of same age and gender, according to reference equations.

Results

The study population consisted of 559 elderly patients, 387 males (69.2%), with age of 72 (69–76) years. The most frequent diagnosis at admission was ischaemic heart disease (231, 41.5%) and overall 6MWT ratio was 0.62 ± 0.21. At the multivariable regression analysis, gender, diagnosis and FI were significantly and independently associated with 6MWT ratio (p ≤ 0.0001, p ≤ 0.001 and p ≤ 0.0001, respectively), while no significant association emerged for age.

Conclusion

FI resulted independently correlated to 6MWT ratio in a population of older patients undergoing in-hospital CR programs. Frailty is a multifactorial geriatric syndrome whose assessment is essential for prognostic evaluation of older patients, also in CR clinical setting.
Increasing Collaborative Discussion in Case-Based Learning Improves Student Engagement and Knowledge Acquisition
Authors: Sartania Nana , Sneddon Sharon , Boyle James G. , McQuarrie Emily , de Koning Harry P.
Published: September 2022

Background

In the transition from academic to clinical learning, the development of clinical reasoning skills and teamwork is essential, but not easily achieved by didactic teaching only. Case-based learning (CBL) was designed to stimulate discussions of genuine clinical cases and diagnoses but in our initial format (CBL’10) remained predominantly tutor-driven rather than student-directed. However, interactive teaching methods stimulate deep learning and consolidate taught material, and we therefore introduced a more collaborative CBL (cCBL), featuring a structured format with discussions in small breakout groups. This aimed to increase student participation and improve learning outcomes.

Method

A survey with open and closed questions was distributed among 149 students and 36 tutors that had participated in sessions of both CBL formats. A statistical analysis compared exam scores of topics taught via CBL’10 and cCBL.

Results

Students and tutors both evaluated the switch to cCBL positively, reporting that it increased student participation and enhanced consolidation and integration of the wider subject area. They also reported that the cCBL sessions increased constructive discussion and stimulated deep learning. Moreover, tutors found the more structured cCBL sessions easier to facilitate. Analysis of exam results showed that summative assessment scores of subjects switched to cCBL significantly increased compared to previous years, whereas scores of subjects that remained taught as CBL’10 did not change.

Conclusions

Compared to our initial, tutor-led CBL format, cCBL resulted in improved educational outcomes, leading to increased participation, confidence, discussion and higher exam scores.
Using dual evolutionary search to construct decision tree based ensemble classifier
Authors: Chen Hao , Zhang Guoxin , Pan Xiaoying , Jia Rong
Published: September 2022

A typical ensemble learning process typically uses a forward integration mechanism to construct the ensemble classifier with a large number of base classifiers. Based on this mechanism, it is difficult to adjust the diversity among base classifiers and optimize the structure inside ensemble since the generation process has a certain amount of randomness, which makes the performance of ensemble classifiers heavily dependent on the human design decisions. To address this issue, we proposed an automatic ensemble classifier construction method based on a dual-layer evolutionary search mechanism, which includes a tree coding-based base classifier population and a binary coding-based ensemble classifier population. Through a collaborative searching process between the two populations, the proposed method can be driven by training data to update the base classifier population and optimize the ensemble classifiers globally. To verify the effectiveness of the dual evolutionary ensemble learning method (DEEL), we tested it on 22 classification tasks from 4 data repositories. The results show that the proposed method can generate a diverse decision tree population on the training data while searching and constructing ensemble classifiers from them. Compared with 9 competitor algorithms, the proposed method achieved the best performance on 17 of 22 test tasks and improved the average accuracies by 0.97–7.65% over the second place. In particular, the generated ensemble classifiers show excellent structure, which involve small number and diverse decision trees. That increases the transparency of ensembles and helps to perform interpretability analysis on them.
Touch-Responsive Hydrogel for Biomimetic Flytrap-Like Soft Actuator
Authors: Wei Junjie , Li Rui , Li Long , Wang Wenqin , Chen Tao
Published: September 2022

Stimuli-responsive hydrogel is regarded as one of the most promising smart soft materials for the next-generation advanced technologies and intelligence robots, but the limited variety of stimulus has become a non-negligible issue restricting its further development. Herein, we develop a new stimulus of “touch” (i.e., spatial contact with foreign object) for smart materials and propose a flytrap-inspired touch-responsive polymeric hydrogel based on supersaturated salt solution, exhibiting multiple responsive behaviors in crystallization, heat releasing, and electric signal under touch stimulation. Furthermore, utilizing flytrap-like cascade response strategy, a soft actuator with touch-responsive actuation is fabricated by employing the touch-responsive hydrogel and the thermo-responsive hydrogel. This investigation provides a facile and versatile strategy to design touch-responsive smart materials, enabling a profound potential application in intelligence areas.
Strength and Rheology of Cemented Pastefill Using Waste Pitchstone Fines and Common Pozzolans Compared to Using Portland Cement
Authors: Yowa Gideon Gipmai , Sivakugan Nagaratnam , Tuladhar Rabin , Arpa Gabriel
Published: September 2022

Cemented pastefill is one of the most popular backfill types that use waste mill tailings to backfill and stabilise the mined-out voids in underground mines. Cement dosage in the range of 3–7% is added to the tailings to increase the strength of cemented pastefill to serve as wall support when extracting adjacent stopes. Cement is expensive and contributes significantly to the cost of backfilling even with small dosages. Moreover, the production of cement is energy intensive and contributes to the emission of carbon dioxide. Partial replacement of cement with supplementary cementitious materials can significantly reduce cost and make mine backfilling more environmentally friendly. This paper reports the findings from a laboratory test programme on the optimization of mix designs using fly ash, slag, pitchstone fines, and polycarboxylate plasticizer. Results indicated that apart from common pozzolans like fly ash and slag, the pitchstone fines attained comparable unconfined compressive strength when replacing cement by 10–20%. The findings are useful for the mining and civil industries trying to dispose the mine waste or reusing it as backfill or as construction material.
Controlling Conditional Expectations by Zero-Determinant Strategies
Authors: Ueda Masahiko
Published: September 2022

Zero-determinant strategies are memory-one strategies in repeated games which unilaterally enforce linear relations between expected payoffs of players. Recently, the concept of zero-determinant strategies was extended to the class of memory-n strategies with $$n\ge 1$$

n
≥
1

, which enables more complicated control of payoffs by one player. However, what we can do by memory-n zero-determinant strategies is still not clear. Here, we show that memory-n zero-determinant strategies in repeated games can be used to control conditional expectations of payoffs. Equivalently, they can be used to control expected payoffs in biased ensembles, where a history of action profiles with large value of bias function is more weighted. Controlling conditional expectations of payoffs is useful for strengthening zero-determinant strategies, because players can choose conditions in such a way that only unfavorable action profiles to one player are contained in the conditions. We provide several examples of memory-n zero-determinant strategies in the repeated prisoner’s dilemma game. We also explain that a deformed version of zero-determinant strategies is easily extended to the memory-n case.
Root osmotic sensing from local perception to systemic responses
Authors: Gorgues Lucille , Li Xuelian , Maurel Christophe , Martinière Alexandre , Nacry Philippe
Published: September 2022

Plants face a constantly changing environment, requiring fine tuning of their growth and development. Plants have therefore developed numerous mechanisms to cope with environmental stress conditions. One striking example is root response to water deficit. Upon drought (which causes osmotic stress to cells), plants can among other responses alter locally their root system architecture (hydropatterning) or orientate their root growth to optimize water uptake (hydrotropism). They can also modify their hydraulic properties, metabolism and development coordinately at the whole root and plant levels. Upstream of these developmental and physiological changes, plant roots must perceive and transduce signals for water availability. Here, we review current knowledge on plant osmotic perception and discuss how long distance signaling can play a role in signal integration, leading to the great phenotypic plasticity of roots and plant development.
Glycerol-3-phosphate acyltransferases and metabolic syndrome: recent advances and future perspectives
Authors: Huang Yinqiong , Hu Keyue , Lin Shu , Lin Xiahong
Published: September 2022

Triglycerol-3-phosphate acyltransferases (GPATs) are the key enzymes in the first step of the synthesis of triacylglycerol (TAG). In mammals, there are four isoforms of GPATs. GPAT1 and GPAT2 are localised in the outer mitochondrial membrane, while GPAT3 and GPAT4 are localised in the endoplasmic reticulum. Previous research has emphasised that GPAT plays a critical effect on the development of metabolic syndromes, such as liver steatosis, obesity, and insulin resistance. In this review, we will critically evaluate the regulatory effects of GPATs isoforms in metabolic syndrome. In addition, we also discuss perspectives on clinical intervention strategies for the neurometabolic disease.
Unveil the pain of endometriosis: from the perspective of the nervous system
Authors: Fan Peiya , Li Tian
Published: September 2022

Endometriosis is a chronic inflammatory disease with pelvic pain and uncharacteristic accompanying symptoms. Endometriosis-associated pain often persists despite treatment of the disease, thus it brings a deleterious impact on their personal lives as well as imposing a substantial economic burden on them. At present, mechanisms underlie endometriosis-associated pain including inflammatory reaction, injury, aberrant blood vessels and the morphological and functional anomaly of the peripheral and central nervous systems. The nerve endings are influenced by the physical and chemical factors surrounding the lesion, via afferent nerve to the posterior root of the spinal nerve, then to the specific cerebral cortex involved in nociception. However, our understanding of the aetiology and mechanism of this complex pain process caused by endometriosis remains incomplete. Identifying the pathogenesis of endometriosis is crucial to disease management, offering proper treatment, and helping patients to seek novel targets for the maintenance and contributors of chronic pain. The main aim of this review is to focus on every possible mechanism of pain related to endometriosis in both peripheral and central nervous systems, and to present related mechanisms of action from the interaction between peripheral lesions and nerves to the changes in transmission of pain, resulting in hyperalgesia and the corresponding alterations in cerebral cortex and brain metabolism.
CEO career horizon influence strategic novelty of a firm: A study under the boundary condition of CEO's temporal focus
Authors: Agnihotri Arpita , Bhattacharya Saurabh , Satya Prasad V.K.
Published: September 2022

The paper examines the relationship between CEO career horizon and strategic novelty under boundary conditions of CEOs' temporal focus for firms in one of the emerging markets. Upper echelons theory predicts that CEOs' risk aggressiveness decreases with diminishing career horizons. Therefore, CEOs nearing retirement are less likely to make novel strategic investments. We assert that CEOs' career horizon influences strategic outcomes, especially risk aggressive strategic novelty outcomes contingent on the CEOs' temporal perspective, i.e., past and future temporal focus. We test the hypotheses using archival data from 285 listed firms in India. The findings support the hypotheses by showing that CEOs' carrier horizon positively influences strategic dynamism and distinctiveness, the two dimensions of strategic novelty. The results also suggest that past temporal focus enhances the negative influence of decreasing CEOs' career horizons on strategic dynamism and distinctiveness. Future temporal focus, on the contrary, diminishes the negative influence of decreasing CEOs' career horizons on strategic dynamism and distinctiveness. The findings contribute to understanding the joint role of the time static trait of CEOs, i.e., temporal focus, and time-varying trait, i.e., career horizon on strategic novelty.
On connectivity and robustness of random graphs with inhomogeneity
Authors: Shang Yilun
Published: September 2022

The study of threshold functions has a long history in random graph theory. It is known that the thresholds for minimum degreek,k-connectivity, as well ask-robustness coincide for a binomial random graph. In this paper we consider an inhomogeneous random graph model, which is obtained by including each possible edge independently with an individual probability. Based on an intuitive concept of neighborhood density, we show two sufficient conditions guaranteeingk-connectivity andk-robustness, respectively, which are asymptotically equivalent. Our framework sheds some light on extending uniform threshold values in homogeneous random graphs to threshold landscapes in inhomogeneous random graphs.
Proposed alcohol tax reform in the United Kingdom: Implications for wine-exporting countries
Authors: Anderson Kym , Wittwer Glyn
Published: September 2022

A proposal to reform the United Kingdom's excise duty on alcohol is under consideration during 2022. The proposal would change the tax base from volume of product to volume of alcohol, which would see a fall in the tax on sparkling wine (by about one-fifth), a rise in the tax on fortified wines of 18% alcohol by volume (ABV) (by about one-sixth), and table wines with more (less) than 11.5% ABV would become dearer (cheaper). With taxes on most beers unchanged and taxes on spirits lowered slightly, the pattern of UK wine consumption and imports would alter considerably. This article draws on a global model of national alcoholic beverage markets to estimate the likely bilateral trade effects of this proposed reform to UK excise duties. It compares them with the trade effects of the United Kingdom's first two bilateral free trade agreements (FTAs), following the post-Brexit EU–UK Trade and Cooperation Agreement, which allows Australian and New Zealand vignerons tariff-free access to the UK wine market. Those two FTAs are estimated to cause the United Kingdom to import far more wine than is lost by the proposed changes in UK excise duties.
Does quality pay off? “Superstar” wines and the uncertain price premium across quality grades
Authors: Castriota Stefano , Corsi Stefano , Frumento Paolo , Ruggeri Giordano
Published: September 2022

We use data from Wine Spectator on 266,301 bottles from 12 countries sold in the United States to investigate the link between the score awarded by the guide and the price charged. The link between quality and price is positive, in line with the literature. In a deeper inspection, however, hedonic regressions show that the price premium attached to higher quality is significant only for “superstar” wines with more than 90 points (on a 50–100 scale), while prices of wines between 50 and 90 points are not statistically different from each other. Furthermore, an analysis performed through normal heteroskedastic and quantile regression models shows that the dispersion of quality-adjusted prices is described by an asymmetric U-shaped function of the score; that is, products with the lowest and highest quality have the highest residual standard deviation. Pursuing excellence is a risky strategy; the average price is significantly higher only for wines that achieve top scores, and the price premium becomes more volatile.
A note on monotonicity and Bochner formulas in Carnot groups
Authors: Garofalo Nicola
Published: September 2022

In this note, we prove two monotonicity formulas for solutions of$\Delta _H f = c$and$\Delta _H f - \partial _t f = c$in Carnot groups. Such formulas involve the right-invariantcarré du champof a function and they are false for the left-invariant one. The main results, theorems 1.1 and 1.2, display a resemblance with two deep monotonicity formulas respectively due to Alt–Caffarelli–Friedman for the standard Laplacian, and to Caffarelli for the heat equation. In connection with this aspect we ask the question whether an ‘almost monotonicity’ formula be possible. In the last section, we discuss the failure of the nondecreasing monotonicity of an Almgren type functional.
Evolution of Ramasetu region as a link between India and Sri Lanka during the late Pleistocene and Holocene
Authors: Dubey K.M. , Chaubey A.K. , Gaur A.S. , Joglekar M.V.
Published: September 2022

High-resolution seismic data of the Ramasetu region revealed three subaerial unconformities S1, S2, and S3. S1 is the youngest subaerial unconformity, whereas S3 is the oldest. These subaerial unconformities have been determined based on the presence of channel-incision signatures. Identified buried channels originated in the Palk Strait and debouched in the Gulf of Mannar. Youngest buried channels became most active during MIS 3 (~60–29 ka) and were buried entirely at ~7.0 ka. The study suggests that the Palk Strait evolved as a large multi-centered freshwater reservoir during the last glacial period and remained a freshwater reservoir until seawater started encroaching the region at ~8.5 ka. The Ramasetu region was a potential habitat zone for foragers, with fresh and saline water ecosystems available at opposite banks. During the Microlithic and terminal Pleistocene, Homo sapiens needed to cross high-energy rivers using floaters/rafts in wet seasons of MIS 2 and 3. At the same time, they used a direct walkable land link in the extreme dry season of MIS 2. During the early to mid-Holocene, foragers required floaters/rafts or artificial structures (such as bandh/bridge) to cross shallow, low-energy estuarine patches of the Ramasetu. The Palk Strait region was not crossable without using boats/ships in the last ~7 ka except during minor sea-level falls.
Stanley Kubrick's Magic Mountain: Fiction as History in The Shining
Authors: Cocks Geoffrey
Published: September 2022

Stanley Kubrick's film The Shining (1980) can be read as a central European imaginary retelling Thomas Mann's The Magic Mountain (1924). The film constructs a dark meditation on the human condition not only through its formal and thematic focus on Mann's novel but also through the lens of works by numerous other central European artists and scholars. Consequently, The Shining presents historical comprehension as the product not only of knowledge, but of experience, memory, and artistic representation/reception. Just as The Magic Mountain addressed itself to the crisis of European civilization that had culminated in the First World War, a deep-laid historical subtext in The Shining concerns the more desperate crisis facing the West in the wake of the Second World War. At its dark center, Kubrick's horror film reflects its creator's and its era's struggle with the reality and representation of the Holocaust.
Reimagining the Public Sphere: Commensurability and Communicative Rationality under Colonialism
Authors: Biswas Sujay
Published: September 2022

This article discusses the Habermasian public sphere as a realm constructed through communication and offers a critique of Jürgen Habermas's concept of an intersubjectively shared lifeworld among the participants as a fundamental prerequisite for communicative rationality in the discursive field. The article contends that the emergence of communicative rationality in the public sphere is unlikely to be facilitated by a singular and unitary modern public whose participants have commensurable languages and worlds. This argument is elaborated through an analysis of a public debate that occurred on August 10, 1888, between the Mahajan (headman) of the Modh Baniya caste council and Mohandas K. Gandhi, a Modh Baniya himself. Even though the discussion involved two people with an intersubjectively shared lifeworld, who were engaged in the deliberation as equals, the dialogue broke down, deepening divides. This article argues that the need to protect the spiritual domain from the polluting touch of the material domain led to the breakdown of communicative rationality.
Participatory Democracy, Democratic Education, and Women
Authors: Lupien Pascal
Published: September 2022

Participatory democrats argue that citizen engagement at the local level serves an important educational function. Through involvement in participatory mechanisms, citizens develop various skills, become better informed, and cultivate a greater sense of political efficacy. There has been considerable debate in the academic literature over the extent to which participation can produce these benefits, but deliberative and participatory theoretical approaches have been criticised for neglecting power dynamics within participatory mechanisms themselves, and for overlooking structural inequalities between women and men. Numerous critics have charged that participatory mechanisms tend to mask, but not eliminate, gender inequalities, particularly in societies where these remain firmly entrenched. While the theory on the educational function of participatory democracy is well developed, there remains a lack of empirical work on the impact of participation on women in Latin America, a region that has been at the forefront of democratic innovation. Based on extensive fieldwork in Venezuela, Ecuador and Chile, this article identifies the types of skills that women gain through participation, and questions the extent to which these reproduce traditional gender roles.
Cambio de hábito: Trayectorias de religiosas durante la última dictadura militar Argentina
Authors: Catoggio María Soledad
Published: September 2022

El artículo tiene como objeto abordar la singularidad de las trayectorias de mujeres consagradas durante la última dictadura militar en la Argentina. La hipótesis del trabajo es que su doble condición de mujeres y consagradas las situó coyunturalmente en una posición de ventajas comparativas para hacer frente a la represión estatal. Para llevarlo a cabo reconstruimos un derrotero típico a partir de una selección intencionada de historias de vida y entrevistas a profundidad realizadas a religiosas de diversas congregaciones para luego analizar comparativamente el repertorio de estrategias agenciado por las religiosas para enfrentar la represión estatal en distintos contextos, desplegado a partir de dicho derrotero típico. Para concluir exponemos cuatro tipos de estrategias, que combinan visibilidad y agencia, y que resultan eficaces para sortear exitosamente situaciones de represión estatal en las que estas mujeres se ven expuestas.
Indigenous Language Usage and Maintenance Patterns among Indigenous People in the Era of Neoliberal Multiculturalism in Mexico and Guatemala
Authors: Yoshioka Hirotoshi
Published: September 2022

In both Mexico and Guatemala, indigenous languages are at risk of extinction. Because languages influence people's ways of thinking and help them identify with particular ethnic groups, indigenous language loss can result in severe problems that extend well beyond the demise of these languages. Although current multicultural reforms offer indigenous people unprecedented opportunities, these seemingly positive changes may actually threaten indigenous languages and cultures. Using the latest demographic census data, I present how socioeconomic, demographic, and community factors negatively correlate with indigenous language usage. I contend that indigenous language maintenance will become more difficult because neoliberal multiculturalism endorses indigenous cultural rights without putting forth other necessary changes. Establishing effective language preservation strategies requires us to recognize dangers hidden in the current multicultural agenda, to rigorously ask how we can destigmatize negative images attached to indigenous cultures, and to combat centuries-long oppression and discrimination against indigenous groups.