bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-cycle multiaxial random fatigue life prediction model based on equivalent stress transformation
Authors: He Yingbao , Liu Jianhui , Hua Feilong , Zhao He , Wang Jie 
Published: August 2022

PurposeUnder multiaxial random loading, the material stress–strain response is not periodic, which makes it difficult to determine the direction of the critical plane on the material. Meanwhile, existing methods of constant loading cannot be directly applied to multiaxial random loading; this problem can be solved when an equivalent stress transformation method is used.Design/methodology/approachFirst, the Liu-Mahadevan critical plane is introduced into multiaxial random fatigue, which is enabled to determine the material's critical plane position under random loading. Then, an equivalent stress transformation method is proposed which can convert random load to constant load. Meanwhile, the ratio of mean stress to yield strength is defined as the new mean stress influence factor, and a new non-proportional additional strengthening factor is proposed by considering the effect of phase differences.FindingsThe proposed model is validated using multiaxial random fatigue test data of TC4 titanium alloy specimens and the results of the proposed model are compared with that based on Miner's rule and BSW model, showing that the proposed method is more accurate.Originality/valueIn this work, a new multiaxial random fatigue life prediction model is proposed based on equivalent stress transformation method, which considers the mean stress effect and the additional strengthening effect. Results show that the predicted fatigue lives given by the proposed model are in well accordance with the tested data.
Hotel room personalization via ontology and rule-based reasoning
Authors: Ojino Ronald , Mich Luisa , Mvungi Nerey 
Published: August 2022

Purpose
The increasingly competitive hotel industry and emerging customer trends where guests are more discerning and want a personalized experience has led to the need of innovative applications. Personalization is much more important for hotels, especially now in the post-COVID lockdown era, as it challenges their business model. However, personalization is difficult to design and realize due to the variety of factors and requirements to be considered. Differences are both in the offer (hotels and their rooms) and demand (customers’ profiles and needs) in the accommodation domain. As for the implementation, critical issues are in hardware-dependent and vendor-specific Internet of Things devices which are difficult to program. Additionally, there is complexity in realizing applications that consider varying customer needs and context via existing personalization options. This paper aims to propose an ontological framework to enhance the capabilities of hotels in offering their accommodation and personalization options based on a guest’s characteristics, activities and needs.

Design/methodology/approach
A research approach combining both quantitative and qualitative methods was used to develop a hotel room personalization framework. The core of the framework is a hotel room ontology (HoROnt) that supports well-defined machine-readable descriptions of hotel rooms and guest profiles. Hotel guest profiles are modeled via logical rules into an inference engine exploiting reasoning functionalities used to recommend hotel room services and features.

Findings
Both the ontology and the inference engine module have been validated with promising results which demonstrate high accuracy. The framework leverages user characteristics, and dynamic contextual data to satisfy guests’ needs for personalized service provision. The semantic rules provide recommendations to both new and returning guests, thereby also addressing the cold start issue.

Originality/value
This paper extends HoROnt in two ways, to be able to add: instances of the concepts (room characteristics and services; guest profiles), i.e. to create a knowledge base, and logical rules into an inference engine, to model guests’ profiles and to be used to offer personalized hotel rooms. Thanks to the standards adopted to implement personalization, this framework can be integrated into existing reservation systems. It can also be adapted for any type of accommodation since it is broad-based and personalizes varying features and amenities in the rooms.
Perception of cyberbullying among students: the study of a developing country
Authors: Tetteh Andrew , Awaah Fred , Addo Dorcas 
Published: August 2022

PurposeThis study aims to investigate students’ perceptions regarding the causes and effects of cyberbullying among university students. The study also establishes whether or not there would be statistically significant differences among cyberbullying victims, perpetrators, victim-perpetrators and bystanders in their thoughts on the causes and effects of cyberbullying on students’ social lives from a developing country perspective.Design/methodology/approachThis study uses quantitative approach and cross-sectional survey design to collect primary data from 1,374 undergraduate students sampled from selected public universities in Ghana. Descriptive statistics and analysis of variance analyses were carried out using statistical package for the social sciences.FindingsThe study reports popularity among friends, extortion, retaliation, stress, trauma and low self-esteem as causes of cyberbullying. Also, cyberbullying resulted in difficulty trusting people, low self-esteem and increased stress. The study also found statistically significant differences among cyberbullying victims, perpetrators, victim-perpetrators and bystanders in their thoughts on the causes and effects of cyberbullying on students’ social lives.Practical implicationsThe study’s findings imply that cyberbullying has some fairly significant negative effects on students’ lives in Ghana and must be taken more seriously. Conditions must be created to ensure that perpetrators and victims are given the support needed to curb this menace. Detailed remediating measures are provided in the study.Originality/valueThis paper contributes to the existing literature by studying cyberbullying perceptions among students from a relatively bully-tolerant culture.
Gender and placemaking: talking to women about clean air and sustainable urban environments in changing cities
Authors: Loroño-Leturiondo Maria , Illingworth Sam 
Published: August 2022

Purpose
This purpose of this study is to explore the voices of women in conceptualizing a city with clean air, and how this relates to urban structural changes being made more environmentally and socially sustainable.

Design/methodology/approach
A growing body of research suggests that gender is central to placemaking, and in dealing with environmental sustainability, fear of crime, longer life expectancy, unpaid work and economic inequality shape mobility and experiences of the city for women. In this context, the authors conducted a series of interviews with women in Greater Manchester and explored how they envision a city with clean air.

Findings
Findings suggest that the conceptualization of a city with cleaner air is influenced by a range of both direct and indirect factors including safety, pleasantness, greenspace, litter and homelessness. Consequently, these can be powerful elements in designing relevant policies for women and for society at large and in communicating them effectively.

Research limitations/implications
The major limitation of this study is that whilst it gives voice to women with different backgrounds (e.g. age, ethnicity or professional background) and experiences (e.g. number of children or preferred form of transport), it is not an encompassing voice of all women. For example, although the professional backgrounds of these women are diverse, they all hold a position of relative economic privilege, and as such it is important to acknowledge that these findings do not fully incorporate the voices of other, less privileged, women.

Originality/value
These interviews and their analysis present a novel exploration of the question of air quality and placemaking from a gender perspective, highlighting both a willingness to change and to support structural changes.
Stigma and strategy in Pakistan's HIV prevention sector
Authors: Qureshi Ayaz 
Published: August 2022

AbstractNGOs often portray commercial sex workers, injecting drug users, transgender people (hijrae), and homosexual men as quasi‐legal persons who are locked in a policing‐criminality relationship with the state, and who therefore need them to mediate this relationship. By advancing such portrayals, NGOs in Pakistan's HIV prevention sector capitalize upon the presumed cultural difference of the so‐called risk groups of HIV. They appropriate stigma against these groups as a strategy to access funds and to fortify their own position as brokers in the unstable donor‐dominated funding landscape of HIV prevention. In doing so, the NGO leaders and members end up stabilizing stigma and reinforcing its attendant inequalities in the socially conservative environment of Pakistan. The discriminatory legal framework that criminalizes sex outside marriage and non‐therapeutic use of drugs goes unchallenged by NGOs, despite their apparent support for universal human rights, partly because the status quo stabilizes these organizations’ position as brokers between state and donor agencies and the so‐called risk groups of HIV.
Integrated multi‐omics approaches to understand microbiome assembly in Jiuqu, a mixed‐culture starter
Authors: Kang Jiamu , Xue Yansong , Chen Xiaoxue , Han Bei‐Zhong 
Published: August 2022

AbstractThe use of Jiuqu as a saccharifying and fermenting starter in the production of fermented foods is a very old biotechnological process that can be traced back to ancient times. Jiuqu harbors a hub of microbial communities, in which prokaryotes and eukaryotes cohabit, interact, and communicate. However, the spontaneous fermentation based on empirical processing hardly guarantees the stable assembly of the microbiome and a standardized quality of Jiuqu. This review describes the state of the art, limitations, and challenges towards the application of traditional and omics‐based technology to study the Jiuqu microbiome and highlights the need for integrating meta‐omics data. In addition, we review the varieties of Jiuqu and their production processes, with particular attention to factors shaping the microbiota of Jiuqu. Then, the potentials of integrated omics approaches used in Jiuqu research are examined in order to understand the assembly of the microbiome and improve the quality of the products. A variety of different approaches, including molecular and mass spectrometry‐based techniques, have led to scientific advances in the analysis of the complex ecosystem of Jiuqu. To date, the extensive research on Jiuqu has mainly focused on the microbial community diversity, flavor profiles, and biochemical characteristics. An integrative approach to large‐scale omics datasets and cultivated microbiota has great potential for understanding the interrelation of the Jiuqu microbiome. Further research on the Jiuqu microbiome may explain the inherent property of compositional stability and stable performance of a complex microbiota coping with environmental perturbations and provide important insights to reconstruct synthetic microbiota and develop modern intelligent manufacturing procedures for Jiuqu.
The Emerging Drugs Network of Australia – Victoria Clinical Registry: A state‐wide illicit substance surveillance and alert network
Authors: Syrjanen Rebekka , Schumann Jennifer , Fitzgerald John , Gerostamoulos Dimitri , Abouchedid Rachelle , Rotella Joe‐Anthony , Knott Jonathan , Maplesden Jacqueline , Hollerer Hans , Hannon Liam , Bourke Elyssia , Hodgson Sarah E , Greene Shaun L 
Published: August 2022

AbstractObjectivesWith an increasingly dynamic global illicit drug market, including the emergence of novel psychoactive substances, many jurisdictions have moved to establish toxicosurveillance systems to enable timely detection of harmful substances in the community. This paper describes the methodology for the Emerging Drugs Network of Australia – Victoria (EDNAV) project, a clinical registry focused on the collection of high‐quality clinical and analytical data from ED presentations involving illicit drug intoxications. Drug intelligence collected from the project is utilised by local health authorities with the aim to identify patterns of drug use and emerging drugs of concern.MethodsThe project involves 10 public hospital EDs in Victoria, Australia. Patients 16 years and over, presenting to a network ED with a suspected illicit drug‐related toxicity and a requirement for venepuncture are eligible for inclusion in the study under a waiver of consent. Clinical and demographic parameters are documented by site‐based clinicians and comprehensive toxicological analysis is conducted on patient blood samples via specialised forensic services. All data are then deidentified and compiled in a project specific database.ResultsCases are discussed in weekly multidisciplinary team meetings, with a view to identify potentially harmful substances circulating in the community. High‐risk signals are escalated to key stakeholders to produce timely and proportionate public health alerts with a focus on harm minimisation.ConclusionsThe EDNAV project represents the first centralised system providing near real‐time monitoring of community drug use in Victoria and is fundamental in facilitating evidence‐based public health intervention.
Review article: Peripheral intravenous catheter insertion in adult patients with difficult intravenous access: A systematic review of assessment instruments, clinical practice guidelines and escalation pathways
Authors: Paterson Rebecca S , Schults Jessica A , Slaughter Eugene , Cooke Marie , Ullman Amanda , Kleidon Tricia M , Keijzers Gerben , Marsh Nicole , Rickard Claire M 
Published: August 2022

AbstractThe optimal approach for peripheral intravenous catheter (PIVC) insertion in adult hospitalised patients with difficult intravenous access (DIVA) is unknown. The present study aimed to critically appraise the quality of (i) assessment instruments and (ii) clinical practice guidelines (CPGs) or escalation pathways for identifying and managing patients with DIVA. Cochrane Central Register of Controlled Trials, EBSCO MEDLINE, EMBASE (OVID) and EBSCO CINAHL databases were searched on 22 March 2021. Studies describing a DIVA assessment measure, CPG or escalation pathway for PIVC insertion in adults (≥18 years of age) were included. Data were extracted using a standardised data extraction form including study design, type of resource and reported clinical outcomes. Quality of DIVA assessment instruments were reviewed using the COnsensus‐based Standards for the selection of health Measurement Instruments checklist. Methodological quality of CPGs and escalation pathways was assessed using the Appraisal of Guidelines for Research and Evaluation‐II (AGREE‐II) instrument. Overall, 24 DIVA resources comprising 16 DIVA assessment instruments and nine CPGs or escalation pathways (including one combined assessment instrument and escalation pathway) were identified. Instruments commonly focused on vein visibility and palpability as indicators of DIVA. CPGs and escalation pathways unanimously recommended use of vessel visualisation technology for patients with or suspected of DIVA. Methodological quality of the resources was mixed. Consensus and standardisation of resources to identify DIVA and recommendations for managing patients with DIVA is limited. Adopting consistent, evidence‐based CPGs, escalation pathways or DIVA assessment instruments may significantly improve clinical outcomes.
Association between metabolic phenotype and urinary albumin‐creatinine ratio in Chinese community adults: A cross‐sectional study
Authors: Zhang Yue , Li Binqi , Liu Yang , Gao Wenxing , Chen Kang , Wang Anping , Tang Xulei , Yan Li , Luo Zuojie , Qin Guijun , Chen Lulu , Wan Qin , Gao Zhengnan , Wang Weiqing , Ning Guang , Mu Yiming 
Published: August 2022

AbstractBackgroundUrinary albumin‐creatinine ratio (UACR) is a sensitive marker of kidney injury. This study analyzed the prevalence of different metabolic phenotypes and investigated their relationship with UACR in Chinese community adults.MethodsThis study involved 33 303 participants over 40 years old from seven centers across China. They were stratified into six groups according to their body mass index (BMI) and metabolic status: metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically healthy obesity (MHO), metabolically unhealthy normal weight (MUNW), metabolically unhealthy overweight (MUOW), and metabolically unhealthy obesity (MUO). Increased albuminuria was defined as a UACR ≥30 mg/g.ResultsThe percentages of MHNW, MHOW, MHO, MUNW, MUOW, and MUO were 27.6%, 15.9%, 4.1%, 19.8%, 22.5%, and 9.6%, respectively. Multiple logistic regression analysis showed that the MHO group (odds ratio [OR] 1.205; 95% CI, 1.081‐1.343), MUNW group (OR 1.232; 95% CI, 1.021‐1.486), MUOW group (OR 1.447; 95% CI, 1.303‐1.607), and MUO group (OR 1.912; 95% CI, 1.680‐2.176) were at higher risk of increased albuminuria compared to the MHNW group. Subgroup analysis indicated that the risk of increased albuminuria was further elevated among regular smokers in men aged 40 to 55 years old with abdominal obesity.ConclusionsAmong Chinese community adults, increased albuminuria was associated with increased BMI whether metabolism was normal or not, and those with abnormal metabolism were at greater risk of increased albuminuria than those with normal metabolism. These findings suggest that overweight or obesity or metabolic abnormalities are risk factors for chronic kidney disease.
Episodic Paleozoic Adakitic Magmatism in the Eastern Tianshan, Southern Altaids: Implications for Petrogenesis and Geodynamics
Authors: WANG Meng , XIAO Wenjiao , MAO Qigui , YANG He , WANG Hao , LI Rui 
Published: August 2022

AbstractThe adakites rocks are typically considered as direct diagnostic evidence for subduction and continental growth, as well as the important evidence to determine the location of the major oceanic basin and evolution history of lost oceanic basins, which are longstanding conundrums for understanding the tectonics of the Paleo‐Asian Ocean (PAO). As the processor of the Altaids, the PAO was a long‐lived ocean, and its multiple subductions led to substantial continental growth in the Central Asian continent. Here we report our newly discovered Paleozoic adakitic rocks (granite and dacite) developed in Jijitaizi in the Eastern Tianshan of the southern Altaids to address the above issues. The Jijitaizi granite and dacite contain high concentrations of Sr (203–343 ppm) and low concentrations of Y (3.00–6.36 ppm) and Yb (0.23–0.62 ppm), indicative of the adakitic affinity. Zircon U‐Pb dating results show that the adakitic rocks were formed in three episodes at 372.26 ± 1.51 Ma, 356.02 ± 1.11 Ma and 334.51 ± 0.68 Ma from the Late Devonian to Carboniferous. The rocks are depleted in Nb, P and Ti, and possess variable Mg#values (28.51–57.22), high Na2O/K2O ratios (1.39–4.94), as well as relatively depleted Hf isotopic compositions, all of which point to a subduction origin from slab melting. Our new finding with the date from the Jijitaizi complex (ca. 321 Ma) suggests continuing subduction of the Paleo‐Asian oceanic slab beneath the Central Tianshan from the Late Devonian to Carboniferous. Our work provides a solid line of key evidence demonstrating that continuous oceanic subduction of the major PAO evolved into its mature stage following subducting beneath the Central Tianshan from ca. 372 to 321 Ma.
Different clinical characteristics and survival between surgically resected pure and combined small cell lung cancer
Authors: Li Yujing , Wang Yanan , Zhou Wensheng , Chen Ya , Lou Yuqing , Qian Fangfei , Lu Jun , Jiang Haohua , Xiang Biao , Zhang Yanwei , Han Baohui , Zhang Wei 
Published: August 2022

AbstractBackgroundSmall cell lung cancer (SCLC) is the most malignant and common form of neuroendocrine lung cancer with pure (P‐SCLC) and combined subtypes (C‐SCLC). However, little is known about the differences between these two groups and in this study we aimed to provide a more comprehensive insight into SCLC.MethodsData from 580 postoperative patients with pathologically confirmed SCLC in Shanghai Chest Hospital from January 2010 to December 2020 were collected retrospectively. The clinical characteristics and prognosis were analyzed.ResultsA total of 357 P‐SCLC patients and 223 C‐SCLC patients were included. The results indicated that P‐SCLC appeared to have a higher proportion of being located in the middle lobe than C‐SCLC. The incidences of P‐SCLC in patients with visceral pleural invasion (VPI) and in stage II were higher than C‐SCLC, while C‐SCLC was more likely to be accompanied by higher incidences of epidermal growth factor receptor (EGFR) mutation, anaplastic lymphoma kinase (ALK) rearrangement, and higher levels of CEA, SCCA and CYFRA21‐1 than P‐SCLC. The most common were SCLC combined with large cell neuroendocrine components among 223 C‐SCLCs. Survival analysis confirmed a more favorable disease‐free survival (DFS) (p = 0.016) and overall survival (OS) (p = 0.024) in patients with P‐SCLCs compared with C‐SCLCs. Histological type, tumor location, pN stage, adjuvant chemotherapy, serum NSE and CA125 levels were independent risk factors for survival rate in SCLC. In addition, adjuvant chemotherapy was beneficial in improving stage I P‐SCLC and C‐SCLC DFS and OS rates, and similar results were not seen in adjuvant radiation therapy.ConclusionsPatients with C‐SCLC have a poorer prognosis than P‐SCLC patients. We determined that large cell neuroendocrine carcinoma was the most common additional component of C‐SCLC, and patients with this component appeared to have a longer DFS and OS than other combined components.
soundClass: An automatic sound classification tool for biodiversity monitoring using machine learning
Authors: Silva Bruno , Mestre Frederico , Barreiro Sílvia , Alves Pedro J. , Herrera José M. 
Published: August 2022

Abstract

Passive acoustic monitoring, a non‐invasive technique, is increasingly used to study animal populations and habitats at much larger spatial and temporal scales than standard methods. However, easy to apply tools for reliable detection and classification of signals of interest among hundreds or even thousands of hours of recording are still lacking.

We introduce the r package soundClass, a tool to train convolutional neural networks, and employ them to classify sound events in recordings. soundClass provides a sound event classification pipeline, from annotating recordings to automating trained networks usage in real‐life situations.

We illustrate the package functionality on bat echolocation calls, bird songs and whale echolocation clicks, showing that the package can be used to train networks for several types of sound events, taxonomic groups and environments; and exemplify its application.

This tool facilitates the creation and usage of trained networks and was developed with a strong focus on graphical user interfaces to be used by non‐specialist scientists in statistics and programming.