bluuebunny/crossref_metadata_2025 huggingface dataset:
Community-engaged Systems for Population Health Improvement: A Novel Approach to Improve Diabetes Outcomes in Rural Communities
Authors: Pullyblank Kristin , Rosen Marisa , Wichman Christopher , Rogers Ann E. , Baron Melissa , Dzewaltowski David A.
Published: July 2024

Background

Approaches to prevent and manage diabetes at a community population level are hindered because current strategies are not aligned with the structure and function of a community system. We describe a community-driven process based on local data and rapid prototyping as an alternative approach to create diabetes prevention and care management solutions appropriate for each community. We report on the process and provide baseline data for a 3-year case study initiative to improve diabetes outcomes in two rural Nebraska communities.

Methods

We developed an iterative design process based on the assumption that decentralized decision-making using local data feedback and monitoring will lead to the innovation of local sustainable solutions. Coalitions act as community innovation hubs and meet monthly to work through a facilitated design process. Six core diabetes measures will be tracked over the course of the project using the electronic health record from community clinics as a proxy for the entire community.

Results

Baseline data indicate two-thirds of the population in both communities are at risk for prediabetes based on age and body mass index. However, only a fraction (35% and 12%) of those at risk have been screened. This information led both coalitions to focus on improving screening rates in their communities.

Discussion

In order to move a complex system towards an optimal state (e.g., improved diabetes outcomes), stakeholders must have access to continuous feedback of accurate, pertinent information in order to make informed decisions. Conventional approaches of implementing evidence-based interventions do not facilitate this process.
The Impact of Longer Biliopancreatic Limb Length on Weight Loss and Comorbidity Improvement at 5 Years After Primary Roux-en-Y Gastric Bypass Surgery: A Population-Based Matched Cohort Study
Authors: Bruinsma Floris F. E. , Nienhuijs Simon W. , Liem Ronald S. L. , Greve Jan Willem M. , Marang-van de Mheen Perla J. ,   on behalf of the Dutch Audit for Treatment of Obesity Research Group, van Acker G. J. D. , Apers J. , de Brauw L. M. , de Castro S. M. M. , Damen S. L. , Faneyte I. F. , van’ t Hof G. , Jonker F. H. W. , Klaassen R. A. , Lagae E. A. G. L. , Langenhoff B. S. , Liem R. S. L. , Luijten A. A. P. M. , Nienhuijs S. W. , Smeenk R. M. , Smeets S. J. M. , Vening W. , Wiezer M. J. , de Witte E.
Published: July 2024

Introduction

Different limb lengths are used in Roux-en-Y gastric bypass (RYGB) surgery, as there is no consensus which limb length strategy has the best outcomes. The biliopancreatic limb (BPL) is thought to play an important role in achieving weight loss and associated comorbidity resolution. The objective of this study was to assess the impact of a longer BPL on weight loss and comorbidity improvement at 5 years after primary RYGB.

Methods

All patients aged ≥ 18 years undergoing primary RYGB between 2014–2017 with registered follow-up 5 years after surgery were included. Long BPL was defined as BPL ≥ 100 cm and short BPL as BPL < 100 cm. The primary outcome was achieving at least 25% total weight loss (TWL) at 5 years. Secondary outcomes included absolute %TWL and improvement of comorbidities. A propensity score matched logistic and linear regression was used to estimate the difference in outcomes between patients with long and short BPL.

Results

At 5 years, long BPL had higher odds to achieve ≥ 25% TWL (odds ratio (OR) 1.19, 95% confidence interval (CI) [1.01 – 1.41]) and was associated with 1.26% higher absolute TWL (β = 1.26, 95% CI [0.53 – 1.99]). Furthermore, long BPL was more likely to result in improved diabetes mellitus (OR = 2.17, 95% CI [1.31 – 3.60]) and hypertension (OR = 1.45, 95% CI [1.06 – 1.99]).

Conclusion

Patients undergoing RYGB with longer BPL achieved higher weight loss and were more likely to achieve improvement of comorbidities at 5 years.

Graphical Abstract
Biofilm Dynamics in Fluoride-Based Wastewater Systems: A Mini-Review on Pseudomonas spp. and Bacillus spp. Biofilms in Semiconductor Manufacturing WWTP
Authors: Zhong Jiaqiao , Wang Yueshuang , Quan Quan , Li Yuanzhe
Published: July 2024

Biofilm formation and growth is a significant concern for water treatment professionals, as it can lead to the contamination of water systems and pose a threat to public health. Biofilms are complex communities of microorganisms that adhere to surfaces and are embedded in an extracellular matrix of polysaccharides and proteins. They are notoriously difficult to control, as they provide a protective environment for bacteria, viruses, and other harmful organisms to grow and proliferate. This review article highlights some of the factors that favor biofilm growth, as well as various strategies for controlling biofilm in water systems. Adopting the best available technologies, such as wellhead protection programs, proper distribution system maintenance, and filtration and disinfection, can prevent the formation and growth of biofilms in water systems. A comprehensive and multi-faceted approach to biofilm control can reduce the occurrence of biofilms and ensure the delivery of high-quality water to consumers.
The mediating role of parent stress in the relationship between children’s emotion dysregulation and ADHD risk: a pilot study
Authors: Grilli Simona , D’Urso Giulio , Buonomo Ilaria , Angelini Giacomo , Fiorilli Caterina
Published: July 2024

Despite the well-known link between earlier children’s emotional dysregulation and their high risk of developing later ADHD symptoms, few studies investigated the relationships between positive and negative emotion dysregulation, on the one hand, and ADHD symptoms, on the other one, via parent stress. This pilot study aimed to investigate the mediating role of parental stress on the relationship between children’s positive and negative emotion dysregulation and ADHD risk indices. A sample of 62 children (Female = 38.2%; M = 65.90 months; SD = 3.8) was rated by one of their parents (i.e., mothers), using the subscales of the Italian Temperament Questionnaire (QUIT; i.e., positive and negative emotionality) and the subscales of Conners’ Parent Rating Scale-Revised (CPRS; i.e., hyperactivity and inattentions deficit). Furthermore, parents reported their stress levels by completing the Parenting Stress Index—Short Form (PSI-SF) self-report. Findings show the mediating role of parental stress on the relationship between negative emotion dysregulation and both measures of ADHD symptoms (hyperactivity/impulsivity and inattention deficit).
Assessment tools for clinical excoriation (skin picking) disorder: a mini review for diagnosing and monitoring symptoms severity
Authors: Sapuppo Walter , Sbrizzi Chiara , Boltri Margherita , La Marra Marco , Giacconi Davide , Saccenti Daniele , Mineo Claudia Maria
Published: July 2024

Excoriation (Skin Picking) Disorder (SPD) is a psychiatric condition characterized by repetitive skin picking, often affecting areas like the face, arms, and hands. It has its own diagnostic classification in ICD-10, DSM-5-TR and PDM-2. Individuals with SPD may use various tools to pick at their skin and often struggle to stop the behavior. The disorder typically arises during adolescence and is more common in females, with a lifetime prevalence of 1.4% in adults. SPD is associated with decreased quality of life and increased rates of anxiety disorders, depression, and substance abuse. Validated assessment tools are essential for diagnosing and monitoring SPD symptoms. The Skin Picking Scale (SPS), Skin Picking Scale-Revised (SPS-R), Skin Picking Impact Scale (SPIS), and Skin Picking Symptom Assessment Scale (SP-SAS) are commonly used instruments for evaluating the severity of SPD symptoms. While these tools have shown reliability and validity, there are limitations, including potential biases in self-reporting and the need for further validation in different populations and languages. Future research is needed to enhance the effectiveness of screening and assessment tools for SPD in clinical settings.
Neurorights, Mental Privacy, and Mind Reading
Authors: Brown Cohen Marcus Lionel
Published: July 2024

A pressing worry in the ongoing neurorights debate is the language used to advocate for newly proposed rights. This paper addresses this concern by first examining the partial and ambiguous associations between mind reading and neurotechnology, often cited by advocates in support of the right to mental privacy. Secondly, it addresses the conceptual foundations of mind reading, distinguishing between natural, digital, and neurotechnological forms. These distinctions serve to highlight the normative parallels in privacy vulnerabilities between neurotechnology and other mind-reading methods, with an emphasis on multimodal digital systems. I suggest that authentic safeguards for the mental realm demand an expansion of the protective ambit beyond brain-targeted devices to recognize the spectrum of mind-reading applications. Ultimately, this urges re-evaluation of the scope and justification of a right to mental privacy owing to the need for coherent frameworks in an increasingly interconnected digital landscape.
An early Eocene fish assemblage associated with a barite deposit in the lower part of the Crescent Formation, Olympic Peninsula, Washington State, USA
Authors: Goedert James L. , Kiel Steffen , Thomas Eric J. , Kriwet Jürgen
Published: July 2024

Abundant shark and rare actinopterygian teeth are reported from a locality within the early Eocene (Ypresian) lower part of the Crescent Formation exposed in the Hamma Hamma River valley on the eastern Olympic Peninsula, Washington State, USA. This part of the Crescent Formation is predominantly submarine volcanic basalt with some sedimentary interbeds deposited in deep water. The teeth are derived from sediments that appear to directly overlay and in places interfinger with the margins of an anomalous lenticular barite deposit; one tooth was found in the barite. Genera represented include deep-water taxa (aff. Chlamydoselachus, Mitsukurina, Notorynchus, Odontaspis) and open marine, epipelagic sharks (Alopias, Brachycarcharias, Jaekelotodus, Macrorhizodus, Otodus, Striatolamia). The only other fossils found were two fragmentary shark vertebrae, numerous shark dermal ossicles, a single teleost tooth (Egertonia) and abundant, minute valves of a discinid brachiopod. This is the first report of macrofossils from the lower part of the Crescent Formation and the only early Eocene shark assemblage described from the North Pacific Basin. The shark assemblage also corroborates paleodepositional interpretations of the lower Crescent Formation as being in part ancient volcanic seamounts during early Eocene time.
Government Subsidies and IPO Firms’ Short-Term Excess Returns: Evidence from China
Authors: Xu Hui , Li Yi , Zhang Gong , Bi Shulei
Published: July 2024

As an important tool for local governments to intervene in the listing process in their jurisdiction, the implementation effect of government subsidy has been quite controversial. This study examines the pricing mechanism of Initial Public Offerings (IPO) within China’s macro institutional environment. The period from April 2012 to December 2015 was selected as the sample observation period, with companies listed on Growth Enterprise Market (GEM) as the study objects. By focusing on IPO firms’ short-term excess returns, the multiple linear regression model and propensity score matching method (PSM) were applied to evaluate the actual impact of local government intervention through financial subsidies during the listing process. The results show that government subsidies improve IPO firm’s short-term excess returns. This promotion effect is more significant in state-owned enterprises rather than in private enterprises. Moreover, the implicit window guidance weakens the promotion effect of government subsidies on the short-term excess returns. Further, the more government subsidies the IPO firms receive, the worse their long-term performance will be. The findings demonstrate that local governments employ financial subsidies to expedite the listing process within their jurisdiction, thereby facilitating IPO companies in generating short-term excessive returns while simultaneously impeding the normal production and operation. The conclusion enhances theoretical understanding regarding high underpricing, while also offering investors a novel approach to interpreting government subsidy information and assessing IPO firm’s earnings sustainability.
Assessing surface water quality for sustainable irrigation in Tarim Basin: a study in the summer irrigation period
Authors: Ma Long , Li Yizhen , Zeng Tao , Feng Sen , Abuduwaili Jilili
Published: July 2024

Water quality in arid regions is a crucial determinant of sustainable social and economic development. Combining traditional hydrogeochemical methods with ordinary least squares (OLS) and geographically weighted regression modeling (GWR), the suitability of surface water irrigation in the summer irrigation period was investigated in the Tarim Basin. The results indicated that all water samples belonged to three types of water: SO4 Cl–Ca•Mg, SO4 Cl–Na, and HCO3–Ca Mg. A convergence phenomenon occurred under long-term irrigation conditions, showing a similarity between the salt composition of soils and surface irrigation waters. Although the current quality of surface water is generally suitable for irrigation, the process of reverse ion exchange has a more important effect on surface water bodies and soil salinity, thereby resulting in an increase in the Na-ion content of the soil and subsequently enhancing alkaline hazards. Both the OLS and GWR models unequivocally indicate that nitrate nitrogen primarily originates from natural weathering processes and that the sources of this material exhibit spatial heterogeneity across distinct regions. The construction of irrigation reservoirs to effectively deal with agricultural water shortages will lead to a deterioration in the quality of irrigation. The overall findings suggest that the water quality can meet the irrigation needs at present, but to ensure the sustainable use of water resources in arid regions, the increasing nitrogen concentration caused by human activities and the decline in water quality caused by reservoir construction need to be addressed in future irrigation management.
Mixed convective flow analysis of a Maxwell fluid with double diffusion theory on a vertically exponentially stretching surface
Authors: Khan Muhammad Naveed , Wang Zhentao , Ahammad N. Ameer , Rezapour Shahram , Shutaywi Meshal , Ali Naim Ben , Elkotb Mohamed Abdelghany
Published: July 2024

It observers that an object is submerged in a liquid, more pressure is applied to its bottom surface than its top surface, as a result pressure rises within depth of fluids. A buoyancy force is generated due to the pressure difference. In the current investigation, the mathematical formulation of bio-convective stagnation point flow of a radiative Maxwell fluid with multiple slip effect on an exponentially porous stretching surface is analyzed thoroughly. The buoyancy assisting and opposing conditions with magnetic field are discussed in the current investigation. Moreover, the energy and concertation equations are formulated by the utilization of Cattaneo–Christov theory and non-uniform heat source/sink. The flow model is developed in the form of partial derivatives, then use the similarity variables to convert the physical system into nonlinear ordinary derivative. The nonlinear system is tackled numerically with the help of Bvp4c approach on the MATLAB. The graphical upshots for various emerging parameter are observed with two aspects: buoyancy assisting $$\left( {\lambda > 0} \right)$$

λ
>
0

and buoyancy opposing $$\left( {\lambda < 0} \right)$$

λ
<
0

. The observation shows that the greater values of mixed convection parameter improves the fluid velocity for assisting flow $$\left( {\lambda > 0} \right)$$

λ
>
0

, while declining trend is noticing for opposing flow situation $$\left( {\lambda > 0} \right)$$

λ
>
0

. Further, it is worth noticing that stronger inputs of thermal and concentration relaxation parameter yield lesser thermal and concentration diffusivity, which reduces the temperature and nanoparticles concentration.
Innovative teaching in infection prevention and control and infectious diseases education: testing and investigation of student perceptions
Authors: Kaba Hani E. J. , Misailovski Martin , Brähler Jasmin , Garcia Josué A. Bucio , Artelt Tanja , Raupach Tobias , Scheithauer Simone
Published: July 2024

Purpose

Many curricula promote frontal teaching approaches, potentially decreasing interaction and motivation – also within infection prevention & control and infectious diseases (IPC/ID). We aimed to investigate the implementation of three innovative teaching methods (ITM) within IPC/ID education: game-based learning (GBL), peer-teaching (PT) and misinformation detection (MID).

Methods

Multi-phase study involving third-year medical students was conducted. Phase-1 included a cross-sectional survey, assessing previous ITM-experience and interest to participate in phase-2, where the students were divided into teams. Each team prepared a video covering an IPC/ID-topic with deliberately placed misinformation, which had to be identified and corrected by the opposing team, followed by qualitative evaluation (phase-3). Finally, the MID-concept was incorporated into regular curricula in a non-competitive environment (phase-4) and evaluated within a cohort not involved in phases 1–3.

Results

276 students responded to phase-1. 58% expressed interest in participating in phase-2. Roughly 59% [47–71%] CI-95% of respondents without previous PT-experience stated interest in PT, while the interest in GBL and MID was even higher. 19 students participated in phase-2. All topic MID-scores ranged between 6 and 8/10 points, except for emporiatrics (3/10). Post-hoc analysis revealed a positive student-perception of ITM, particularly GBL. Phase-4 received 103 responses with general positive evaluation. Major agreements existed on the usefulness of critical information evaluation for medical practice (82% [75–91%] CI-95%) and of MID during studies (69% [59–79%] CI-95%).

Conclusion

our results hint at a relatively high interest in ITM and show MID applicability in regular IPC/ID curricula, which could be of advantage for the learning environment.
Assessment of three criteria to establish borrelial infection in suspected lyme neuroborreliosis
Authors: Ogrinc Katarina , Bogovič Petra , Maraspin Vera , Lotrič Furlan Stanka , Rojko Tereza , Ružić-Sabljić Eva , Kastrin Andrej , Strle Klemen , Wormser Gary P. , Strle Franc
Published: July 2024

Purpose

Diagnosis of (European) Lyme neuroborreliosis has been based on clinical presentation, cerebrospinal fluid (CSF) pleocytosis and demonstration of intrathecal borrelial antibody synthesis (ITBAS) to document Borrelia burgdorferi s. l. infection. It is not known if other criteria to document Borrelia infection may contribute to the diagnosis.

Methods

We compared the sensitivity of three individual criteria (ITBAS, CSF Borrelia culture, and the presence of erythema migrans [EM]) to confirm the diagnosis of early Lyme neuroborreliosis in 280 patients ≥ 15 years of age evaluated at a Lyme borreliosis outpatient clinic in Slovenia. The patients had either radicular pain of new onset or involvement of a cranial nerve but without radicular pain, each in conjunction with CSF pleocytosis. Evaluation was of patients who had each of the three confirmatory criteria assessed, and for whom at least one criterion was positive.

Results

Analysis of 280 patients, 120 women and 160 men, median age 57 (range 15–84) years, revealed that ITBAS was the most frequently observed positive criterion (85.4%), followed by EM (52.9%), and by a positive CSF Borrelia culture (9.6%). Of the 280 patients, 154 (55%) met only one criterion (43.2% ITBAS only, 10.7% EM only, and 1.1% positive CSF culture only), whereas 42.1% met two criteria. Only 2.9% of patients were positive by all three criteria.

Conclusion

Although ITBAS was the most frequent criterion for confirmation for Borrelia infection, the presence of EM alone confirmed an additional 10.7% of patients and a positive CSF Borrelia culture alone added another 1.1%.
The politicisation of sport and the principle of political neutrality: a contradiction in terms?
Authors: Grix Jonathan , James Mark
Published: July 2024

Recent events have once again shone a spotlight on the principle of political neutrality invoked by many Sports Governing Bodies to justify their inaction in response to political issues in the world of sport. The war in Ukraine and the hosting of the FIFA World Cup in Qatar have tested the political neutrality of both FIFA and the IOC. The consequences of this stance have led to FIFA overlooking a number of human rights issues in Qatar and the IOC ignoring human rights concerns in host states, awarding Russia and China recent versions of the Winter Olympics. This article outlines the most salient examples of the politicization of sport, exposing the myth upon which the principle of political neutrality is based. The aim is to offer a clear understanding of the processes behind the politicization of sport, the attraction of sport to governments of all political hues, and its use in ‘sportswashing’ activities and ‘soft power’ acquisition. Such an analysis of sport politics provides a glimpse behind the veneer of apoliticality enshrined in the principle of political neutrality and hence a better basis for scholars of sports law to understand the politically sensitive cases arising in sport in the present day.
A Scoping Review of Stigma Related to Prostate Cancer in Black Men
Authors: Bamidele Olufikayo , Greenley Sarah , Ukoha-Kalu Blessing Onyinye , Titus Opeyemi Faith , Nanton Veronica
Published: July 2024

Background

Prostate cancer (CaP) disproportionately affects 1-in-4 Black men and is a stigmatised disease within their communities. Yet, Black men are underrepresented in CaP research concerning stigma, which necessitates a scoping review to map available evidence on this topic to inform future research.

Aims

To map published literature on stigma related to CaP in Black men to understand their experiences and/or perceptions and identify directions for future research.

Methods

A scoping review was conducted using the five-step framework by Arksey and O’Malley. Studies published in English addressing stigma related to CaP from the perspectives of Black men and/or their families were included. We searched six databases including Medline, Embase, PsycInfo, CINAHL, Web of Science Core Collection and Google Scholar, from inception to April 2023. Citation searches were also conducted. Two independent reviewers conducted screening and data extraction. Data was synthesised using descriptive content analysis.

Results

Thirty-four eligible studies conducted in the USA, UK, Trinidad and Tobago, South Africa, Cameroon and Canada from 1995 to 2023 were included. A total of 1867 Black men with/without a CaP diagnosis and 145 adult partners were included. Review findings showed a complex intersection of self-stigma, public stigma and structural stigma impacted Black men’s perceptions of their masculinity. While men’s experiences/perceptions of stigma varied depending on their illness status, there were commonalities in their masculinity concerns (underpinned by stigma), which influenced their attitude towards digital rectal examination, post-treatment side effects and social interactions on CaP. These have implications for public health messaging on CaP within Black communities, as well as patient-provider interactions with the men.

Conclusions

This novel review highlights the need to pay attention to how CaP is presented to Black men and their communities using avenues and languages that are culturally acceptable and empower them to negotiate self-stigma, public stigma and structural stigma related to CaP. Directions for further research were also identified.
Guidelines for Increasing Access to Mindfulness-Based Interventions in Under-Resourced Schools
Authors: L. Phan Mary , L. Renshaw Tyler , D. Farley Caleb
Published: July 2024

Mindfulness-based interventions (MBIs) in schools have become increasingly popular, as these practices can be integrated into classrooms by teachers, adapted to fit the individual needs of students or groups of students, and implemented as a schoolwide commitment to improve well-being. Research shows that MBIs are broadly effective for improving a variety of social, emotional, behavioral, and academic outcomes for diverse students. However, implementation of MBIs in under-resourced schools presents a unique set of challenges for school staff. This paper addresses this issue constructively by providing guidelines for increasing access to MBIs in under-resourced schools. First, we provide a brief overview of common ecological barriers—and potential solutions—to implementing MBIs in under-resourced schools at the individual-level, team-level, school-level, and macro-level. This overview is followed by recommendations for de-implementing outdated interventions and implementing MBIs instead. Finally, we complete our guidelines by describing the Adapting Strategies to Promote Implementation Reach and Equity (ASPIRE) framework and how this heuristic can be applied to guide culturally sensitive and equity-focused adaptations to MBIs in under-resourced schools.
Automatic control of UAVs: new adaptive rules and type-3 fuzzy stabilizer
Authors: Cai Jinya , Zhang Haiping , Khadakar Amith , Mohammadzadeh Ardashir , Zhang Chunwei
Published: July 2024

Unmanned Aerial Vehicles (UAVs) have become important in an extensive range of fields such as surveillance, environmental monitoring, agriculture, infrastructure inspection, commercial applications, and many others. Ensuring stable flight and precise control of UAVs, especially in adverse weather conditions or turbulent environments, presents significant challenges. Developing control systems that can adapt to these environmental factors while ensuring safe and reliable operation is a main motivation. Considering the challenges, first, an adaptive model is identified using the input/output data sets. New adaptation laws are obtained for dynamic parameters. Then, a Type-3 (T3) Fuzzy Logic System (FLS) is used to compensate for the error of dynamic identification. T3-FLS is tuned by a sliding mode control (SMC) strategy. The robustness is analyzed considering the adaptation error using the SMC approach. The main idea is that the basic dynamics of UAVs are taken into account, and adaptation laws are designed to enhance the modeling accuracy. On the other hand, an optimized T3-FLS with SMC is introduced to eliminate the adaption errors and ensure robustness. Several simulations show that known parameters converge under uncertainty, and the stability is kept, well. Also, output signals follow the desired trajectories under dynamic perturbations, identification errors, and uncertainties.
Attention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation
Authors: Zhao Fen , Shao Huishuang , Li Shuo , Wang Yintong , Yu Yan
Published: July 2024

Natural answer generation is in a very clear practical significance and strong application background, which can be widely used in the field of knowledge services such as community question answering and intelligent customer service. Traditional knowledge question answering is to provide precise answer entities and neglect the defects; namely, users hope to receive a complete natural answer. In this research, we propose a novel attention-based recurrent neural network for natural answer generation, which is enhanced with multi-level copying mechanisms and question-aware loss. To generate natural answers that conform to grammar, we leverage multi-level copying mechanisms and the prediction mechanism which can copy semantic units and predict common words. Moreover, considering the problem that the generated natural answer does not match the user question, question-aware loss is introduced to make the generated target answer sequences correspond to the question. Experiments on three response generation tasks show our model to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 0.727 BLEU on the SimpleQuestions response generation task, improving over the existing best results by over 0.007 BLEU. Our model has scored a significant enhancement on naturalness with up to 0.05 more than best performing baseline. The simulation results show that our method can generate grammatical and contextual natural answers according to user needs.
Finite Groups Whose Maximal Subgroups are 2-Nilpotent or Normal
Authors: Shao Changguo , Beltrán Antonio
Published: July 2024

We describe the structure of those finite groups whose maximal subgroups are either 2-nilpotent or normal. Among other properties, we prove that if such a group G does not have any non-trivial quotient that is a 2-group, then G is solvable. Also, if G is a solvable group satisfying the above conditions, then the 2-length of G is less than or equal to 2. If, on the contrary, G is not solvable, then G has exactly one non-abelian principal factor and the unique simple group involved is one of the groups $$\textrm{PSL}_2(p^{2^a})$$

PSL
2

(

p

2
a

)

, where p is an odd prime and $$a\ge 1$$

a
≥
1

, or p is a prime satisfying $$p\equiv \pm 1$$

p
≡
±
1

$$(\textrm{mod}~ 8)$$

(
mod

8
)

and $$a=0$$

a
=
0

.
The complex network patterns of human migration at different geographical scales: network science meets regression analysis
Authors: Pitoski Dino , Meštrović Ana , Schmeets Hans
Published: July 2024

Migration’s influence in shaping population dynamics in times of impending climate and population crises exposes its crucial role in upholding societal cohesion. As migration impacts virtually all aspects of life, it continues to require attention across scientific disciplines. This study aims to bridge the gap between theoretical understanding and practical application by integrating network analysis and regression methodologies within Migration Studies. In the study we employ network analysis to elucidate migration patterns at various geographical scales-city, country, and global. Additionally, regression analysis is discussed on an exploratory level, where we focus on the underlying factors driving migration, and identifying the key independent variables to enhance predictive accuracy. The study exposes distinct migration network structure and its features, and the consequences these have on conventional regression analysis applications. We conclude on the importance of methodological coherence and disciplinary integration, and highlight the avenues for enhancing the predictive power of migration models.
Non-Indigenous teachers’ understandings of relationally responsive curriculum through an Indigenous standpoint
Authors: Lembit Nive Danae , Burgess Cathie
Published: July 2024

Australian schools routinely fail to deliver culturally responsive educational experiences for Aboriginal and Torres Strait Islander students. Educational structures, including the curriculum, are organised according to neoliberal, settler colonial epistemologies, which fracture and neglect Aboriginal and Torres Strait worldviews. In this study, research yarns were conducted with four non-Indigenous teachers working in an urban Sydney school, focusing on their experiences of responding to the curriculum’s cultural neglect through the enactment of relationality. Findings reveal that while teachers face major structural constraints when attempting to incorporate culturally responsive practices, they enacted relationality in their curriculum and pedagogies through the elements of relationships, place and curriculum concepts. A Relationally Responsive Curriculum Framework is proposed as a possible way for teachers to craft a coherent and holistic Aboriginal and Torres Strait Islander curriculum narrative. There is also scope for this framework to be further revised to centre Aboriginal voices and to be applied to the written curriculum to embed Aboriginal and Torres Strait Islander worldviews in the very structure and values of education systems.
Multi-Model Ensemble Machine Learning Approaches to Project Climatic Scenarios in a River Basin in the Pyrenees
Authors: Bilbao-Barrenetxea Nerea , Martínez-España Raquel , Jimeno-Sáez Patricia , Faria Sergio Henrique , Senent-Aparicio Javier
Published: July 2024

This study employs machine learning algorithms to construct Multi Model Ensembles (MMEs) based on Regional Climate Models (RCMs) within the Esca River basin in the Pyrenees. RCMs are ranked comprehensively based on their performance in simulating precipitation (pr), minimum temperature (tmin), and maximum temperature (tmax), revealing variability across seasons and influenced by the General Circulation Model (GCM) driving each RCM. The top-ranked approach is used to determine the optimal number of RCMs for MME construction, resulting in the selection of seven RCMs. Analysis of MME results demonstrates significant improvements in precipitation on both annual and seasonal scales, while temperature-related enhancements are more subtle at the seasonal level. The effectiveness of the ML–MME technique is highlighted by its impact on hydrological representation using a Temez model, yielding outcomes comparable to climate observations and surpassing results from Simple Ensemble Means (SEMs). The methodology is extended to climate projections under the RCP8.5 scenario, generating more realistic information for precipitation, temperature, and streamflow compared to SEM, thus reducing uncertainty and aiding informed decision-making in hydrological modeling at the basin scale. This study underscores the potential of ML–MME techniques in advancing climate projection accuracy and enhancing the reliability of data for basin-scale impact analyses.
Experimental validation of an analytical transient model for saturated boosting gain in DC–DC converters with variable duty cycle
Authors: Adly Golina Samir , Anis Wagdy R. , Ezzat Simon , Abdullatif Sameh O.
Published: July 2024

This paper presents an innovative approach to characterize the boosting gain saturation phenomenon in DC–DC converters with variable duty cycles, a crucial component in energy management applications such as renewable energy systems and IoT devices. While existing literature predominantly relies on steady-state models to explain boosting gain behaviour, this study reveals discrepancies between theoretical predictions and experimental observations, particularly at high duty cycles. The research introduces an analytical model to accurately capture the boosting gain dynamics of a boost chopper converter, addressing the limitations of traditional steady-state analyses. Through experimental validation and numerical simulations using CAD tools, a significant boosting gain saturation of approximately 2.2 is empirically observed, highlighting the necessity for a transient model approach. By providing a comprehensive understanding of the boosting ratio constraints in practical boost converters, this work contributes to advancing the analytical modelling techniques in the field. The mathematical model’s validation through rigorous experimental measurements and simulation analyses underscores its reliability and applicability in real-world scenarios. The structured organization of the paper elucidates the development and verification process, culminating in insightful conclusions that underscore the significance of transient modelling in enhancing the performance and efficiency of DC–DC converters.
The Relationship Between Parents’ Own Responses to Childhood Bullying and What Strategies They Would Recommend to Their Children
Authors: Boddy Emma , Johnston Michael , Allan Katie , Jacobsen-Grocott Tessa , Green Vanessa A.
Published: July 2024

Given the probable influence parents have on the development and maintenance of bullying and victimization in their children, there is potential for an intergenerational transmission of coping strategies in response to bullying incidents. Cross-sectional data is presented from an online anonymous questionnaire conducted in New Zealand. Parents gave responses about their own childhood experiences of various forms of bullying, how they responded, whether the responses were effective and whether they would recommend the response to their own children. The study had 104 parent participants (72 mothers and 32 fathers) with an average age of 40 years (range 21 to 62 years), and their children were aged between 5 months and 17 years; 93% resided in New Zealand. During childhood, the majority of participants had experienced verbal bullying (90%), 55% experienced relational bullying and 43% physical bullying. The strategies tell someone else and ignore the bullying were the most frequently recommended, and about half the participants had found them effective. Talk to the bully about their behaviour was recommended by almost a third of participants and had been used by a similar number. In contrast, although retaliate was not recommended by participants, it had been used by over 50%, half of whom found it effective in response to physical bullying. Overall, there was considerable variation with regard to which strategies parents had used, how effective they were for differing forms of bullying and whether they themselves would recommend a particular strategy to their child. Implications for how parents’ own varied experiences may contribute to the conversations both at home and in school about what we should recommend to children are discussed.
Promoting sustainability in the solar industry: bibliometric and systematic analysis of alternatives for the end-of-life of photovoltaic modules
Authors: Bueno Pietra Taize , Salvia Amanda Lange , Rebelatto Bianca Gasparetto , Brandli Luciana Londero
Published: July 2024

This study conducted bibliometric and systematic analyses of the literature to map the application of life cycle assessment studies on photovoltaic panels, focusing on end-of-life alternatives. Seventy-six articles addressing management strategies, treatment, recycling, and utilization of the panels were examined. The results revealed a significant increase in the number of publications over time, particularly in high-impact journals. Sixteen end-of-life alternatives for the panels were identified, including recycling practices, material recovery, and landfills. All alternatives were analyzed regarding environmental, social, and economic impacts. Understanding the impacts of different end-of-life methods for solar panels is key in supporting government management and the implementation of effective policies and regulations. Additionally, it is necessary to consider the environmental and social effects, as well as ensure the protection of workers involved in related activities and prevent soil, water, and air contamination caused by different types of alternatives, such as dissolution and incineration. To enhance the recycling and recovery of elements from solar panels, scientific advancements and improvements in industrial infrastructure are necessary along with the implementation of a regional logistics approach that minimizes emissions resulting from transportation. The bibliometric analysis indicates that 65% of the studies were published within the last 3 years, and one quarter of the trending keywords of this period is “recycling”. This is particularly relevant to show a major area for research in the solar industry. By means of the systematic analysis, this study compiles and synthetizes the most recent and relevant alternatives for managing end-of-life photovoltaic panels. The comprehensive overview of the impacts associated with these alternatives contributes to the literature and practice of sustainability in the energy sector, providing support for informed decisions directed towards implementation.
Development of an IoT-based multi-level system for real-time water quality monitoring in industrial wastewater
Authors: Nishan Rejoan Kobir , Akter Shapla , Sony Rayhanul Islam , Hoque Md. Mozammal , Anee Meratun Junnut , Hossain Amzad
Published: July 2024

Industrialization and urbanization contribute significantly to environmental pollution, particularly in water bodies. The consequences of this pollution are dire, impacting both the environment and public health. A serious hazard to life on Earth, contaminated water can cause food poisoning, diarrhea, respiratory diseases, and skin ailments, among other health problems. In countries like Bangladesh, where industrial activities, particularly in the garment sector, are prevalent, waste dumping into rivers and canals has reached alarming levels. This has resulted in a drastic decline in water quality, endangering aquatic life and ecosystems. To solve this important issue, we built an innovative real-time water quality monitoring system using the Internet of Things (IoT). Our system operates at three levels, collecting data from different layers of wastewater. Key parameters, including temperature, turbidity, total dissolved solids (TDS), and pH, are continuously monitored to assess water quality. The analysis revealed that wastewater temperature varied between 25 and 37 °C across different sites, with higher temperatures observed in industrial zones, indicating potential thermal pollution. Total dissolved solids (TDS) levels exhibited substantial variations, ranging from 170 to 360 ppm, surpassing standard thresholds and posing a threat to aquatic ecosystems. Turbidity readings ranged from 1.30 to 12.89 NTU, with higher turbidity observed in areas receiving industrial discharge, highlighting the impact of suspended solids on water clarity. pH values exceeded 7.0 across all sites, ranging from 9.5 to 10.32, indicating alkaline wastewater, particularly in regions with dyeing and textile industries. By integrating these specific metrics into our monitoring system, we provide valuable insights into industrial wastewater quality and its environmental implications. These findings underscore the urgent need for real-time monitoring and targeted interventions to address water pollution. Implementing sustainable water management strategies in industrial contexts is critical to protecting public health and preserving ecosystems for future generations.
Fast Li-ion battery chemistry enabled by small-sized solvent
Authors: Huang Jinghao , Feng Qikun , Luo Chao
Published: July 2024

Carbonate-based electrolytes, known for their high solvation energy and high ionic conductivity at room temperature, present significant challenges in ultra-low temperature and fast charging applications. In the February issue of Nature, Fan and colleagues demonstrated that utilizing solvents like fluoroacetonitrile with small molecular size and low solvation energy, facilitates the creation of rapid ion-conduction ligand channels and enables the formation of an inorganic-rich interphase for high-performance ionic batteries, effectively addressing the aforementioned challenges.
SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN
Authors: Sahoo Saswati , Mishra Sushruta , Brahma Biswajit , Barsocchi Paola , Bhoi Akash Kumar
Published: July 2024

Recently, new advancements in technologies have promoted the classification of brain tumors at the early stages to reduce mortality and disease severity. Hence, there is a need for an automatic classification model to automatically segment and classify the tumor regions, which supports researchers and medical practitioners without the need for any expert knowledge. Thus, this research proposes a novel framework called the scatter sharp optimization-based correlation-driven deep CNN model (SSO-CCNN) for classifying brain tumors. The implication of this research is based on the growth of the optimized correlation-enabled deep model, which classifies the tumors using the optimized segments acquired through the developed sampled progressively growing generative adversarial networks (sampled PGGANs). The hyperparameter training is initiated through the designed SSO optimization that is developed by combining the features of the global and local searching phase of flower pollination optimization as well as the adaptive automatic solution convergence of sunflower optimization for precise consequences. The recorded accuracy, sensitivity, and specificity of the SSO-CCNN classification scheme are 97.41%, 97.89%, and 96.93%, respectively, using the brain tumor dataset. In addition, the execution latency was found to be 1.6 s. Thus, the proposed framework can be beneficial to medical experts in tracking and assessing symptoms of brain tumors reliably.
Impact of a fundamental movement skills program on educator practice in early learning centres
Authors: McGuckin Teneale , Turner Denise , Jones Tamra , Crowther Fiona , Eagers Jackie , Connor Jonathan
Published: July 2024

Introduction

Early development of fundamental movement skills (FMS) has various health, social, emotional, cognitive, and physical benefits. However, reports indicate children’s motor skill proficiencies are diminishing. Therefore, the early childhood years and early childhood educators are vital for providing opportunities for FMS development, which may enable children to acquire a lifelong positive relationship with physical activity (PA).

Methods

Educators at early learning centres (ELC) in a regional city were invited to participate in semi-structured interviews and complete a FMS diary. Following the initial data collection, a university student-led FMS focused PA program was delivered. After the completion of the program, educators were invited to participate in a follow-up interview and to complete another FMS diary. The interviews were thematically analysed and the FMS diaries were descriptively reported.

Results

From pre-program interviews, three themes were identified including “educator training and recall”, “environmental moderators”, and “expanding knowledge”. Educators indicated they had some formal training regarding physical education, but their knowledge was limited or difficult to recall. Educators suggested increasing their knowledge would be a valuable future enabler to advance FMS outcomes. After the completion of the program, interviews with the educators identified “program impact on practices” as another surfacing theme and is indicative the program elicited reflection of educators about their practices.

Conclusion

A university student-led FMS focused program provoked reflective practices of educators about FMS proficiency and programming. Educators identified challenges, enablers, and opportunities for facilitating FMS activities at ELC.