bluuebunny/crossref_metadata_2025_split huggingface dataset:
An empirical comparison of correlation-based systemic risk measures
Authors: Pastorino Caterina , Uberti Pierpaolo 
Published: September 2023

AbstractDespite the growing attention in the last years on the topic of systemic risk, a widely accepted definition of systemic crisis is missing. We use a theoretical scheme to subjectively define a systemic event. This permits the analysis of a financial crisis as a standard binary classification problem, providing an intuitive and useful framework to compare systemic risk measures defined in very different fields. Then we focus the empirical analysis on the comparison of the performance of correlation-based systemic risk measures using the standard tools for the evaluation of binary classifiers as the receiver operating characteristic (ROC) curve and the area under the curve (AUC). We show that the binary classification framework is useful but unable to capture some significant differences among the measures under comparison. The experimental approach, developed on real financial data, is divided in an in-sample exercise, able to evaluate the descriptive power of the different systemic risk measures, and an out-of-sample application to evaluate the capacity of the measures in preventing and predicting systemic events. The forecasting ability of a measure can be fundamental for policy makers and investors respectively to stabilize market fluctuations and to reduce the losses.
Working from home leads to more family-oriented men
Authors: Inoue Chihiro , Ishihata Yusuke , Yamaguchi Shintaro 
Published: September 2023

AbstractWe examine how working from home (WFH) affects men’s participation in childcare and housework and their attitudes toward family. Because WFH is an endogenous decision, we apply a first-difference instrumental variable estimator, taking the degree to which one can work from home, measured at the individual level, as the instrument. We find that WFH increases the time that men spend on household chores and with family, and the fraction of men who consider life more important than work. Although WFH decreases their commuting time, we find no evidence that it reduces working hours or self-perceived productivity.
Ranking Cities According to Their Fundamental Power: A Comparison Among Results of Different Methods of Linear Ordering
Authors: Gierusz-Matkowska Anna , Wojewnik-Filipkowska Anna , Krauze-Maślankowska Patrycja 
Published: September 2023

AbstractCity managers search for new concepts of city development in order to satisfy growing demands and manage risk. The research assumes that city management requires the combination of ideas of sustainable development, a smart city and resilience. These three concepts are the components of the so-called “Fundamental Power of the City”. The aim of this paper is to present and test the operationalization of the new hybrid approach to city development through the index named the Fundamental Power of the City Index which includes 80 variables. The research applies six linear ordering methods to investigate the functionality of the Index. These are used to investigate each city’s performance and compare it with other cities by ranking them according to a chosen measure. The research considers 18 voivodship capital cities of Poland. The research draws attention to different approaches of development assessment although analysis shows that most linear ordering methods produce similar rankings. Investigation shows that human and social capital factors contribute to high positions in the ranking which is consistent with the development strategies formulated by the leading cities. The results of the analysis also identify the most urgent problems of the municipalities. The research confirms that the Fundamental Power of the City concept, by including the requirements for sustainable, smart and resilient cities, fills the gaps between them and provides a holistic approach to city management.
The import of hypodoxes for the Liar and Russell’s paradoxes
Authors: Eldridge-Smith Peter 
Published: September 2023

AbstractIs the set of all self-membered sets, S, a member of itself? In naive set theory, this is Russell’s hypodox. By the Laws of Excluded Middle and Non-contradiction, S is a member of itself xor it is not, but no principle of classical logic or naive set theory determines which. (Herein, ‘xor’ extends English with a specifically exclusive disjunction.) As a hypodox, the Truth-teller is a sentence that says of itself simply that it is true; by the above mentioned principles, the Truth-teller is true xor not true, but no principle of classical logic or naive truth determines which. Many concepts that have paradoxes have related hypodoxes, although the focus here is on these two. I argue that the Truth-teller does not rely on a principle of truth, in particular it does not rely on the T-schema. I also argue that Russell’s hypodox does not rely on Comprehension. Yet I relate Russell’s paradox and hypodox based on involution functions. The Liar and the Truth-teller are also related by means of involutions. Relations based on these involution functions can be represented in duality squares. Although hypodoxes are not paradoxes, these involution functions and duality relations warrant some commonality in a correct solution to a paradox and its dual hypodox. Using this and some other premises, I provide novel arguments supporting non-classical solutions for the Liar paradox and the significance of Russell’s hypodox for solutions to Russell’s paradox.
Determining and predicting feed intake in crossbred sheep from weaning until maturity
Authors: Theron P.G. , Brand T.S. , Cloete S.W.P. , van Zyl J.H.C 
Published: September 2023

AbstractAccess to simple, accurate feed intake models would facilitate decision-making in feedlots as feed costs are a major part of operational expenditure. This study aimed to develop genotype-specific feed intake models for South African feedlot lambs. Four ram and four ewe lambs each of eight genotypes were raised under ideal growth conditions from weaning until 1 year of age. Feed intake and growth were monitored throughout this period. The intake data were then used to fit various models to predict daily feed intake, intake as percentage of body weight, cumulative intake and feed conversion ratio. No satisfactory univariate models could be found for the prediction of daily or percentage intake, but a good fit was found for cumulative intake data (R2 >0.80, P <0.01). The slope parameters of these linear models show a strong correlation (72%) with feed conversion and can therefore also serve as proxies for feed conversion. A model was also developed that can predict feed conversion ratio with a moderate accuracy (R2 =0.5, P <0.05) at a given body weight. The cumulative intake model was deemed accurate and simple enough for practical use.
No evidence of hepatitis E virus (HEV) infection among pet cats and dogs, and low seroprevalence of hepatitis E virus among pet rabbits in Poland
Authors: Turlewicz-Podbielska Hanna , Ruszkowski Jakub Jędrzej , Wojciechowski Jarosław , Pomorska-Mól Małgorzata 
Published: September 2023

AbstractThe seroprevalence of Paslahepevirus balayani genotype 3 (hepatitis E virus genotype 3 – HEV-3; Hepeviridae family, genus Paslahepevirus) in pet cats, dogs and rabbits was evaluated. Samples from cats and dogs were collected from three veterinary practices from various parts of Poland: Poznan (wielkopolskie voivodeship), Przemysl (podkarpackie voivodeship) and Lublin (lubelskie voivodeship). Samples from rabbits were collected in Poznan. In total, serum samples from 90 cats, 82 dogs and 71 rabbits were selected and tested for specific anti-HEV-3 immunoglobulin (IgG) antibodies using a commercial ELISA test. Pathogen seroprevalence among rabbits was calculated at a 95% confidence interval (CI) for each gender, age (up to 12 months, 1–3 years, 4–7 years and over 8 years), symptoms group (healthy, gastrointestinal disorders, other disorders) and compared with a chi-squared test. No anti-HEV-3 IgG antibodies were detected in any of the samples from cats and dogs. Anti-HEV-3 IgG antibodies were detected in 2.82% of the serum samples from rabbits (2/71; 95% CI: 0.78–9.70). No significant correlations between seropositivity and gender, age, and symptoms (p > 0.05) were observed in rabbits. Our findings indicate that pet rabbits in Poland are exposed to HEV-3, develop humoral response due to infection and might constitute a source for HEV-3 transmission to humans.
Providers’ Knowledge and Perceptions of Bariatric Surgery: a Systematic Review
Authors: Rajeev Nithya D. , Samaan Jamil S. , Premkumar Agnes , Yu Erin , Srinivasan Nitin , Samakar Kamran 
Published: September 2023

AbstractBariatric surgery remains underutilized despite its proven efficacy in the management of obesity. Provider perceptions of bariatric surgery are important to consider when discussing utilization rates. PubMed, SCOPUS, and OVID databases were searched in April 2023, and 40 published studies discussing providers’ knowledge and perceptions of bariatric surgery were included. There were generally positive perceptions of the efficacy of bariatric surgery, although overestimations of surgical risks and postoperative complications were common. Providers’ previous training was associated with knowledge and perceptions of bariatric surgery and familiarity with perioperative management across studies. These perceptions were also associated with referral rates, suggesting that inadequate provider knowledge may contribute to bariatric surgery underutilization. We advocate for increased bariatric surgery-related education throughout all stages of medical training and across specialties.
Numerical and experimental analyses of methane leakage in shield tunnel
Authors: He Jie , Zhu Hehua , Wei Xiangyang , Jin Rui , Jiao Yaji , Yin Mei 
Published: September 2023

AbstractTunnels constructed in gas-bearing strata are affected by the potential leakage of harmful gases, such as methane gas. Based on the basic principles of computational fluid dynamics, a numerical analysis was performed to simulate the ventilation and diffusion of harmful gases in a shield tunnel, and the effect of ventilation airflow speed on the diffusion of harmful gases was evaluated. As the airflow speed increased from 1.8 to 5.4 m/s, the methane emission was diluted, and the methane accumulation was only observed in the area near the methane leakage channels. The influence of increased ventilation airflow velocity was dominant for the ventilation modes with two and four fans. In addition, laboratory tests on methane leakage through segment joints were performed. The results show that the leakage process can be divided into “rapid leakage” and “slight leakage”, depending on the leakage pressure and the state of joint deformation. Based on the numerical and experimental analysis results, a relationship between the safety level and the joint deformation is established, which can be used as guidelines for maintaining utility tunnels.
Coping with and self-management of chronic painful chemotherapy-induced peripheral neuropathy: a qualitative study among cancer survivors
Authors: van de Graaf Daniëlle L. , Mols Floortje , Smeets Tom , Trompetter Hester R. , van der Lee Marije L. 
Published: September 2023

Abstract

Purpose
Patients with chronic painful chemotherapy-induced peripheral neuropathy (CIPN) may experience a negative impact of CIPN on daily life. They can use various coping (i.e., dealing with symptoms and resulting impairments in general) and self-management (i.e., practical actions to reduce symptoms) strategies to live with their limitations. This paper aimed to examine experienced helpful coping and self-management strategies of patients with chronic painful CIPN.

Methods
Semi-structured interviews were conducted with twelve patients with chronic painful CIPN. We applied a hybrid deductive-inductive coding approach. ATLAS.ti was used for coding.

Results
Generated from the data were two themes and nine codes for coping and four themes and 31 codes for self-management strategies. Coping of patients often included active strategies like planning, seeking social support, and acceptance. Additionally, patients often used passive strategies such as focusing on and venting emotions and suppressing competing activities. The most common self-management strategies were mostly passive (i.e., medication, deliberate choice of shoes, resting, sitting, and consulting healthcare professionals) but also active (i.e., exercising) strategies.

Conclusion
Patients exhibit a great variety of coping and self-management strategies that they perceive as helpful to deal with chronic painful CIPN. However, research has shown that certain strategies are not that helpful or even come with aversive effects. More research into the effectiveness and implementation of psychosocial interventions is needed since it may help patients adopting helping strategies. In addition, healthcare professionals need to refer patients with CIPN in a timely manner to physical therapists, occupational therapists, or rehabilitation teams to reduce or prevent (further) impairments.

Implications for Cancer Survivors
Patients can consult one of their healthcare providers in case of problems in dealing with their symptoms, to get proper guidance and possible referral.
Preserving Positive Intermediate Curvature
Authors: Chow Tsz-Kiu Aaron , Johne Florian , Wan Jingbo 
Published: September 2023

AbstractConsider a compact manifoldN(with or without boundary) of dimensionn. Positivem-intermediate curvature interpolates between positive Ricci curvature ($$m = 1$$m=1) and positive scalar curvature ($$m = n-1$$m=n-1), and it is obstructed on partial tori$$N^n = M^{n-m} \times \mathbb {T}^m$$Nn=Mn-m×Tm. Given Riemannian metrics$$g, {\bar{g}}$$g,g¯on$$(N, \partial N)$$(N,∂N)with positivem-intermediate curvature andm-positive difference$$h_g - h_{{\bar{g}}}$$hg-hg¯of second fundamental forms we show that there exists a smooth family of Riemannian metrics with positivem-intermediate curvature interpolating betweengand$${\bar{g}}$$g¯. Moreover, we apply this result to prove a non-existence result for partial torical bands with positivem-intermediate curvature and strictlym-convex boundaries.
Recent Advances Ultra-Porous Drug Nano-Carriers: Synthesis and Targeting Approaches
Authors: Hady Mayssa Abdel 
Published: September 2023

AbstractMesoporous silica has attracted increasing interest due to the pandemic spreading of the viral infection in recent years. These smart materials have many advantages as high loading capacity, high surface area, and unique morphology making them great materials for smart drug carriers. In this review, I summarized the synthesis of Ultra-Porous Drug Nano-Carriers in recent years. Factors affecting (mesoporous nanoparticles) MSN Synthesis as surfactants, Co-surfactants, and solvents were mentioned in the full description and targeting approaches. Types of silica nanoparticles such as Mesoporous SBA-1 silicas, Mesoporous SBA-2 silicas, and hybrid mesoporous materials are also shown in a detailed manner. Future research efforts are also highlighted for AI-based techniques aimed at more accurate tissue engineering prediction and operation optimization in drug carrier-based processes.
Gravitational entropy of stringy charged black holes in teleparallel gravity
Authors: Mourad M. F. , Abdelgaber M. 
Published: September 2023

AbstractIn order to resolve several theoretical and practical flaws in general relativity GR, a variety of modified theories of gravity have been proposed. One exciting strategy is to modify gravity’s geometrical nature. The teleparallel theory of gravity accomplishes this. In this paper, we study the gravitational energy GE and gravitational pressure of stringy charged black holes SCBH namely within the basic framework of the teleparallel equivalent of general relativity GR. We determine GE bounded by the event horizon of the black hole BH and the radial pressure RP over it. Furthermore, we examine the gravitational entropy of SCBH which is affected by BH’s mass m and charge Q.
Cultivating Global Health: Exploring Mindfulness Through an Organisational Psychology Lens
Authors: Sutton Anna 
Published: September 2023

AbstractThe interface of public health and mindfulness as presented in Oman’s review (Mindfulness for Global Public Health: Critical Analysis and Agenda) holds great promise and reveals fertile ground for future research and interdisciplinary exploration. Oman’s framework is supported by compelling arguments, offering a balanced critique of mindfulness that identifies genuine applications and potential. This commentary notes key ideas in Oman’s paper that carry important lessons for organisational research on mindfulness and explores how organisational psychology research and theory can contribute to this proposed integration of mindfulness into global health efforts. It begins by reviewing the close relationships between work, mindfulness, and health, identifying commonalities between mindfulness, health, and organisational research. This is followed by an illustration of organisational psychology’s potential contributions to the alignment of mindfulness and health, focused on 2 of the 14 dimensions proposed by Oman (Concern for Equity and Addresses Attentional Environments). The commentary then draws on recent research and theoretical developments in mindfulness research within the workplace context to discuss the role of resilience and challenges in measuring mindfulness. Overall, this commentary aims to provide insights for organisational research while contributing to the integration of mindfulness and public health.
Obesity: a gender-view
Authors: Muscogiuri G. , Verde L. , Vetrani C. , Barrea L. , Savastano S. , Colao A. 
Published: September 2023

Abstract
Purpose
There is a growing awareness of the importance of understanding gender differences in obesity. The aim of this short review was to revise the current evidence on anthropometric characteristics and nutritional and pharmacological aspects of obesity from a gender perspective.

Methods
A literature search within PubMed was performed. Selected publications related to obesity and gender differences were reviewed.

Results
The prevalence of obesity among men is higher than in women, but women have a higher percentage of body fat content compared to men, and gender appears to be an important factor in the manifestation of central (android) or peripheral (gynoid) obesity. In addition, while in most clinical trials, women are still underrepresented, in clinical registration trials of anti-obesity drugs, women are commonly up-represented and gender-specific analysis is uncommon. Considering that adipose tissue is one of the factors affecting the volume of distribution of many drugs, mainly lipophilic drugs, gender differences might be expected in the pharmacokinetics and pharmacodynamics of anti-obesity drugs. Indeed, although Liraglutide 3 mg, a long-acting glucagon-like peptide-1 receptor agonist, and naltrexone/bupropion display lipophilic properties, currently, a gender–dose adjustment for both these drugs administration is not recommended. In addition, despite that predicted responders to treatment offer substantial opportunities for efficient use, especially of expensive new therapies, such as anti-obesity drugs, data on gender differences to identify early responders to both these have not yet been investigated. Finally, bariatric surgery gender disparity reflects healthcare practices. Weight loss similar, but differing effects: women need more correction and face psychology challenges; men have worse physiology and fewer comorbidity improvements.

Conclusion
Gender differences exist in obesity prevalence and phenotype, body fat distribution, drug efficacy, clinical trial representation, and different secondary effects of bariatric surgery. Gender is an important variable in obesity analysis.
AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response
Authors: Wang Xinlin , Wang Hao , Bhandari Binayak , Cheng Leming 
Published: September 2023

AbstractThis comprehensive review paper aims to provide an in-depth analysis of the most recent developments in the applications of artificial intelligence (AI) techniques, with an emphasis on their critical role in the demand side of power distribution systems. This paper offers a meticulous examination of various AI models and a pragmatic guide to aid in selecting the suitable techniques for three areas: load forecasting, anomaly detection, and demand response in real-world applications. In the realm of load forecasting, the paper presents a thorough guide for choosing the most fitting machine learning and deep learning models, inclusive of reinforcement learning, in conjunction with the application of hybrid models and learning optimization strategies. This selection process is informed by the properties of load data and the specific scenarios that necessitate forecasting. Concerning anomaly detection, this paper provides an overview of the merits and limitations of disparate learning methods, fostering a discussion on the optimization strategies that can be harnessed to navigate the issue of imbalanced data, a prevalent concern in power system anomaly detection. As for demand response, we delve into the utilization of AI techniques, examining both incentive-based and price-based demand response schemes. We take into account various control targets, input sources, and applications that pertain to their use and effectiveness. In conclusion, this review paper is structured to offer useful insights into the selection and design of AI techniques focusing on the demand-side applications of future energy systems. It provides guidance and future directions for the development of sustainable energy systems, aiming to serve as a cornerstone for ongoing research within this swiftly evolving field.
Assessment of environmental degradation of lakes of Nainital district: an ecohydrological perspective
Authors: Divyanjali  , Thakur Gaurav , Priyanka  , Singh Rajesh , Gehlot Anita , Twala Bhekisipho , Priyadarshi Neeraj , Akram Shaik Vaseem 
Published: September 2023

AbstractHuman activities have degraded lakes in Uttarakhand, endangering their vital role in urban sustainability, which includes providing essential services like water supply, flood mitigation, agriculture support, and biodiversity conservation in the Himalayan region. This study focused on Nainital district lakes, utilizing remote sensing and GIS techniques to assess their condition. Time series Landsat 8 satellite imageries acquire by USGS earth explorer from 2017 and 2022 were captured, pre-processed, and subjected to spectral-based classification algorithms in ArcGIS software to calculate Normalised Difference Vegetation Index (NDVI), Normalised Difference Water Index (NDWI), and Normalised Difference Built-up Index (NDBI) indices to assess changes in vegetation, water bodies, and build-up area in and around the lakes respectively. The results indicate a decrease in built-up areas for Nainital district lakes from 2017 to 2022: Naini Lake (1.42%), Bhimtal Lake (1.83%), Naukuchiatal Lake (1.45%), Sattal Lake (2.18%), Khurpatal Lake (2.25%), and Sariyatal Lake (1.3%). Additionally, Bhimtal, Naukuchiatal, and Khurpatal lakes exhibited reductions in shrub and grass vegetation by approximately 12%, 16%, and 0% over the five-year period. Notably, Sattal and Khurapatal lakes demonstrated significant decreases in built-up areas, likely attributed to restoration efforts or landslides. Findings emphasize the need for conservation, sustainable land-use practices, and effective management to protect lake ecosystems.