bluuebunny/crossref_metadata_2025_split huggingface dataset:
How did local wisdom and practice make schools thrive during the pandemic? Evidence from a positive deviance study in rural Uganda
Authors: Atuhurra Julius , Kim-Hines Yoonjung , Nishimura Mikiko 
Published: June 2023

PurposeThis research explores the impact of the locally grown strategies for learning support, as a positive deviance (PD) study, during the COVID-19 pandemic in rural Uganda.Design/methodology/approachThe researchers employed a randomized control trial (RCT) as an original design whereby 50 schools received a full package of SMS and WhatsApp peer groups of head teachers, 50 schools received SMS only and another 50 served as a control group. As an analytical method, this study adopted a difference-in-difference (DID) model to analyze the impact of the radio talk shows promoted through SMS followed by discussion among WhatsApp peer groups. The data collected in June 2021 and February 2022 were used due to the COVID-19-related data limitation of the baseline survey collected in 2019.FindingsThe authors found that the local radio talk shows as a PD intervention had a humble impact on preventing pupils’ dropout during the school closures for two years in Uganda. However, the authors did not obtain a significant result on the impact of the PD intervention on pedagogical support or learning outcomes at the school level. The authors also found that the pupils have significantly dropped their level of proficiencies in literacy and numeracy during the pandemic.Originality/valueThe findings could be of value for the leaders, educators and policymakers to understand the most recent update of learning situation in Uganda and the potential impact of locally grown strategies for learning which does not require external inputs.
The eradication of hate speech on social media: a systematic review
Authors: Gracia-Calandín Javier , Suárez-Montoya Leonardo 
Published: June 2023

Purpose
The purpose of this paper is to present a quantitative and qualitative synthesis of the diverse academic proposals and initiatives for preventing and eliminating hate speech on the internet.

Design/methodology/approach
The foundation for this study is a systematic review of papers devoted to the analysis of hate speech. It has been conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol and applied to an initial corpus of 436 academic texts. Having implemented the suitability, screening and inclusion criteria, this corpus was refined to a sample of 74 articles.

Findings
The main subject categories studied in this corpus of academic research are legal issues and social media. In the majority of the articles, the use of hate speech via social media is associated with five typologies: religion, cyber racism, political slurs, misogyny and attacks on the LGTBI community. The absence of ethical reflection is one of the major shortcomings of IT-focused research and analysis devoted to online hate speech.

Practical implications
To date various systematic reviews have been presented, and they focus on detecting or describing hate speech. These have used either the search appraisal synthesis analysis framework or the Cochrane network. The PRISMA protocol was applied for this study, and both Scopus and texts in German were included. To date no major, rigorous systematic review has been undertaken of proposals to combat hate speech.

Originality/value
The link between hate speech and poverty has not been studied in depth within the academic sphere. Tolerance and ethical compassion are not granted the attention they merit when it comes to analysing the phenomenon of hate speech.
Industry 4.0 and global value chains: what implications for circular economy in SME?
Authors: Suchek Nathalia , Ferreira João J.M. , Fernandes Paula O. 
Published: June 2023

PurposeDrawing on the resource-based view (RBV), this paper aims to analyse the relevance of Industry 4.0 (I4.0) technologies and participation in global value chains (GVC) and the effects of the complementarity between both in the adoption of circular economy (CE) actions by small and medium-sized enterprises (SME).Design/methodology/approachThis paper analysed a large-scale international sample by employing logistic and linear regression models to test the research hypotheses on the effects of I4.0 technologies, GVC participation, and the interaction on CE actions (recycling or reusing materials, reducing the consumption and impact of natural resources, saving energy and/or switching to sustainable energy sources, developing sustainable products or services).FindingsThe evidence suggests that I4.0 technologies already represent important resources for CE adoption and SME participating in GVC display a greater likelihood of adopting CE actions. From the perspective of resource complementarity, by interacting the two factors viewed as resources in this article, results may report that adopting I4.0 technologies and simultaneously participating in GVC may turn out detrimental to SME undertaking CE actions, specifically as regards recycling and reusing materials, saving energy or switching to sustainable energy sources and in cases of widely adopting CE practices.Originality/valueThe paper returns novel insights into the adoption of CE practices by presenting evidence that I4.0 technologies and participation in GVC may be successful means for SME seeking to implement CE actions but must be combined carefully. This paper also provides theoretical and practical implications for SME managers, firms participating in GVCs and policy makers, and shedding light on new research avenues.
Implicit contact-rich manipulation planning for a manipulator with insufficient payload
Authors: Nakatsuru Kento , Wan Weiwei , Harada Kensuke 
Published: June 2023

Purpose
This paper aims to study using a mobile manipulator with a collaborative robotic arm component to manipulate objects beyond the robot’s maximum payload.

Design/methodology/approach
This paper proposes a single-short probabilistic roadmap-based method to plan and optimize manipulation motion with environment support. The method uses an expanded object mesh model to examine contact and randomly explores object motion while keeping contact and securing affordable grasping force. It generates robotic motion trajectories after obtaining object motion using an optimization-based algorithm. With the proposed method’s help, the authors plan contact-rich manipulation without particularly analyzing an object’s contact modes and their transitions. The planner and optimizer determine them automatically.

Findings
The authors conducted experiments and analyses using simulations and real-world executions to examine the method’s performance. The method successfully found manipulation motion that met contact, force and kinematic constraints. It allowed a mobile manipulator to move heavy objects while leveraging supporting forces from environmental obstacles.

Originality/value
This paper presents an automatic approach for solving contact-rich heavy object manipulation problems. Unlike previous methods, the new approach does not need to explicitly analyze contact states and build contact transition graphs, thus providing a new view for robotic grasp-less manipulation, nonprehensile manipulation, manipulation with contact, etc.
Automatic microseismic signal classification for mining safety monitoring using the WaveNet classifier
Authors: Choi Woochang , Pyun Sukjoon , Cheon Dae‐Sung 
Published: June 2023

AbstractMicroseismic monitoring is a promising method for the safety monitoring of underground mines. However, it is crucial to isolate microseismic signals related to the collapse of a mine from others for successful monitoring because the monitoring system records various signals. Recently, deep learning‐based classification techniques have achieved high performance in such data classification problems. In this context, we develop an automatic signal classification technique using the modified WaveNet classifier. The main characteristic of the WaveNet structure is its ability to extract features at various frequencies from very long time‐series data, and such an advantage makes the WaveNet suitable for seismic data processing. The data imbalance problem coming from the safe condition of the monitoring target is solved by augmenting the training data with those acquired from another mine and employing class weighting. After training, an optimal classifier is chosen considering the loss function, accuracy and Fβ score. The optimal classifier shows very high accuracy and excellent performance for the test data prediction. Compared to the random forest model and another one‐dimensional convolutional neural network–based network, the suggested classifier has higher reliability in predicting microseismic signals. Even though the proposed WaveNet model has a much more complex structure than the random forest model, the actual application examples demonstrate that the proposed model achieves high efficiency without any preprocessing. The automatic signal classifier developed in this study can be directly applied to various safety monitoring problems, not only mines, to improve the efficiency and reliability of monitoring systems.
Evidence of exploitative competition between honey bees and native bees in two California landscapes
Authors: Page Maureen L. , Williams Neal M. 
Published: June 2023

Abstract

Human‐mediated species introductions provide real‐time experiments in how communities respond to interspecific competition. For example, managed honey bees Apis mellifera (L.) have been widely introduced outside their native range and may compete with native bees for pollen and nectar. Indeed, multiple studies suggest that honey bees and native bees overlap in their use of floral resources. However, for resource overlap to negatively impact resource collection by native bees, resource availability must also decline, and few studies investigate impacts of honey bee competition on native bee floral visits and floral resource availability simultaneously.

In this study, we investigate impacts of increasing honey bee abundance on native bee visitation patterns, pollen diets, and nectar and pollen resource availability in two Californian landscapes: wildflower plantings in the Central Valley and montane meadows in the Sierra.

We collected data on bee visits to flowers, pollen and nectar availability, and pollen carried on bee bodies across multiple sites in the Sierra and Central Valley. We then constructed plant‐pollinator visitation networks to assess how increasing honey bee abundance impacted perceived apparent competition (PAC), a measure of niche overlap, and pollinator specialization (d'). We also compared PAC values against null expectations to address whether observed changes in niche overlap were greater or less than what we would expect given the relative abundances of interacting partners.

We find clear evidence of exploitative competition in both ecosystems based on the following results: (1) honey bee competition increased niche overlap between honey bees and native bees, (2) increased honey bee abundance led to decreased pollen and nectar availability in flowers, and (3) native bee communities responded to competition by shifting their floral visits, with some becoming more specialized and others becoming more generalized depending on the ecosystem and bee taxon considered.

Although native bees can adapt to honey bee competition by shifting their floral visits, the coexistence of honey bees and native bees is tenuous and will depend on floral resource availability. Preserving and augmenting floral resources is therefore essential in mitigating negative impacts of honey bee competition. In two California ecosystems, honey bee competition decreases pollen and nectar resource availability in flowers and alters native bee diets with potential implications for bee conservation and wildlands management.
Determination of anxiety, depression, avoidance and obsessions experienced by hemodialysis patients during the COVID‐19
Authors: Koşunalp Nazlı , Kavurmaci Mehtap 
Published: June 2023

AbstractIntroductionThe purpose of this study was to ascertain the levels of anxiety, despair, avoidance, and obsessions that hemodialysis patients dealt with during the pandemic.MethodsThe study was conducted with 139 hemodialysis patients. Research data “Coronavirus Anxiety Scale (CAS),” “Hospital Anxiety and Depression Scale (HAD),” “COVID‐19 Avoidance Scale” (AA‐COVID‐19) and “Coronavirus Obsession Scale (OCS).” The data obtained from the research were analyzed using the SPSS 21 package program.ResultsThe average score of the patients on the CAS scale was 0.73 ± 1.17, on the HAD‐A scale was 5.94 ± 3.67, and on the HAD‐D scale was 7.06 ± 3.89. The COVID‐19 outbreak has consequently had a severe impact on hemodialysis patients' mental health.ConclusionCovid 19 epidemic, the health sector failed to protect the mental health of patients. However, new epidemics and disasters await the world in the future. In these results show that new strategies need to be developed.
Cannabinoid hyperemesis syndrome: Clinical trajectories and patterns of use three months following a visit to the emergency department
Authors: Wightman Rachel S. , Metrik Jane , Lin Timmy R. , Collins Alexandra B. , Beaudoin Francesca L. 
Published: June 2023

AbstractObjectivesCannabinoid hyperemesis syndrome (CHS) is a clinical condition of cyclic vomiting, nausea, and abdominal pain associated with chronic cannabis use. Despite increased recognition of CHS, there are limited details on cannabis use practices and symptoms over time. Understanding what happens in the period surrounding the emergency department (ED) visit, including any changes in symptoms and cannabis use practices following the visit, can help inform the development of patient‐centered interventions around cannabis use disorder for patients with CHS.MethodsA prospective observational cohort (n = 39) of patients with suspected CHS recruited from the ED at the time of a symptomatic cyclic vomiting episode was followed for 3 months. Disease progression, cannabis use practices, and health care utilization were monitored.ResultsParticipants reported high rates of persistent CHS symptoms (abdominal pain, nausea, or cyclic vomiting) in the 2‐week period immediately following an ED visit with a median duration of 7 days. Cannabis use frequency and quantity were reduced immediately after the ED visit, but most participants returned to pre‐ED visit cannabis use patterns within a few days. Recurrent ED visits for cyclic vomiting were reported by 25% of participants who completed follow‐up during the 3‐month follow‐up period.ConclusionsParticipants continued to have ongoing symptoms after the ED visit, but most managed symptoms on their own and did not return to the ED. Longitudinal studies beyond 3 months are needed to better understand the clinical course of patients with suspected CHS.
Anatomical oropharyngeal cavity specialisations in the cutlassfish (Trichiurus lepturus, Linnaeus, 1758)
Authors: El‐Bakary Neveen E. R. , Alsafy Mohamed A. M. , Rutland Catrin S. , El‐Gendy Samir A. A. , Kamal Basma M. 
Published: June 2023

AbstractTrichiurus lepturus is a carnivorous fish, and most of the previous anatomical research has focused on computed tomography imaging and histology of their teeth and fangs, while the remaining structures of pharyngeal cavity remain unexplored. The present research is the first to use anatomical examinations alongside scanning electron microscopy to investigate the T. lepturus oral cavity. The oropharyngeal roof included teeth, upper lip, rostral and caudal velum and the palate. The middle of the palate showed a median groove flanked by two folds, followed by a median band flanked by micro‐folds, thereafter the palate became crescent shaped. The lateral regions of the palate exhibited longitudinal folds that extended rostrally towards the fangs. The oropharyngeal floor had two cavities which acted as a scabbard for the premaxillary fangs and upper velum, while the caudal sublingual cavity contained two oyster‐shaped structures on the outer surface plus sublingual ridges and sublingual clefts. The tongue apex exhibited a spoon‐like shape, its body demonstrated a median elevation and the root with two lateral branches contained only dome‐shaped papillae. Taste buds were located on the upper velum, lower lip and the caudal part of the interbranchial septum. Images and descriptions of T. lepturus tooth structure are also provided. The present research, using anatomical dissection and morphological observation using scanning electron microscopy, has identified the structures of the dentition system, a variety in shapes of the folds and microridges, and identified the taste buds and mucous pores in the T. lepturus oropharyngeal cavity.
On the selection of predictors by using greedy algorithms and information theoretic criteria
Authors: Li Fangyao , Triggs Christopher M. , Giurcăneanu Ciprian Doru 
Published: June 2023

SummaryWe discuss the use of the following greedy algorithms in the prediction of multivariate time series: Matching Pursuit Algorithm (MPA), Orthogonal Matching Pursuit (OMP), Relaxed Matching Pursuit (RMP), Frank–Wolfe Algorithm (FWA) and Constrained Matching Pursuit (CMP). The last two are known to be solvers for the lasso problem. Some of the algorithms are well‐known (e.g. OMP), while others are less popular (e.g. RMP). We provide a unified presentation of all the algorithms, and evaluate their computational complexity for the high‐dimensional case and for the big data case. We show how 12 information theoretic (IT) criteria can be used jointly with the greedy algorithms. As part of this effort, we derive new theoretical results that allow modification of the IT criteria such that to be compatible with RMP. The prediction capabilities are tested in experiments with two data sets. The first one involves air pollution data measured in Auckland (New Zealand) and the second one concerns the House Price Index in England (the United Kingdom).
Influence of illness representations on coping strategies and psychosocial outcomes of infertility: Systematic review and meta‐analysis
Authors: Deninotti Julie , Le Vigouroux Sarah , Gosling Corentin J. , Charbonnier Elodie 
Published: June 2023

AbstractBackgroundThis systematic review and meta‐analysis was based on the Common Sense Model, applied to infertility.AimsThe aim was to examine the relationships between cognitive (i.e. cause, coherence, consequences, controllability, identity and timeline) or emotional representations of infertility and both coping (i.e. maladaptive and adaptive) and psychosocial outcomes (i.e. distress, anxiety, depressive symptoms, social isolation, low well‐being and poor quality of life), reporting followed PRISMA guidelines.Materials & MethodsFive databases (PubMed, PsycINFO, PsycARTICLES, PubPsych and CINAHL) were searched, and 807 articles were initially identified.ResultsSeven cross‐sectional studies (N = 1208 participants) were retained in qualitative and quantitative analyses. These studies assessed the associations of seven types of representations with either maladaptive or adaptive coping (20 effect sizes), or with psychosocial outcomes (131 effect sizes). A multivariate meta‐analysis revealed that none (0/2) of the associations between the sole type of representation considered (i.e. controllability) and coping strategies were statistically significant, whereas three (3/7) of the associations between representations of infertility and psychosocial outcomes were statistically significant. Regardless of p‐values, pooled estimates ranged from low (r = .03) to very high (r = .59).DiscussionFuture studies should validate specific measurement tools for measuring cognitive and emotional representations of infertility.ConclusionOur results highlight the influence of representations of infertility (particularly cognitive representations of consequences and emotional representations) on the psychosocial outcomes of infertility.
Prognostic impact of the presence or absence of prior cancer in patients with cancer using cure models: A population‐based study
Authors: Kudo Haruka , Morishima Toshitaka , Fujii Makoto , Nagayasu Mayumi , Ma Chaochen , Sobue Tomotaka , Ohno Yuko , Miyashiro Isao 
Published: June 2023

AbstractDeveloping a subsequent cancer is one of the major concerns for cancer survivors; however, whether prior cancer could affect their prognosis is unknown. We therefore aimed to analyze how prognosis varies depending on prior cancer in patients with newly developed cancer, focusing on cancer that had been “cured.” We used the record‐linked database of the Osaka Cancer Registry and Vital Statistics to select 186,798 patients with stomach, colorectal, or lung cancer aged ≥40 years from 1995 to 2009 in Osaka, Japan. These cancers were defined as index cancers. We classified the patients into two groups according to whether they had a prior cancer diagnosis within 10 years before the index cancer diagnosis. The cured proportion was defined as the proportion of cancer patients with the same mortality as the general population and was estimated using the parametric mixture cure model. The cured proportion of patients with prior cancer by sex and age group was not significantly lower than those without prior cancer, except for patients with stomach cancer aged ≥65 years. According to the index cancer stage in the localized stomach or colorectal cancer, the cured proportion in patients with prior cancer was lower than in those without prior cancer. However, at any stage of lung cancer, the proportion of patients with prior cancer who had been cured was similar to patients without prior cancer, therefore prior cancer had a prognostic impact only in some patient groups based on the characteristics of their index cancer.
Volumetric analysis on the use of customized healing abutments with or without connective tissue graft at flapless maxillary immediate implant placement: A randomized clinical trial
Authors: Fernandes Danilo , Marques Tiago , Borges Tiago , Montero Javier 
Published: June 2023

AbstractObjectivesTo evaluate buccal volume change after using a customized healing abutment with or without connective tissue grafts (CTG) in flapless maxillary immediate implant placement (IIP).Materials and MethodsThe present study was designed as a randomized clinical trial (RCT). Patients treated with flapless maxillary IIP were allocated into two groups, both receiving a customized healing abutment, and additionally, the test group received a CTG. A cone‐beam computerized tomography (CBCT) allowed to access the initial buccal bone thickness (BT). Digital impressions were taken prior to extractions (T0), 1 month (T1), 4 months (T2), and 12 months (T3) after implant insertion and superimposed with computer software allowing to compute variables related to buccal volume variation (BVv) and total volume variation (TVv) (ClinicalTrials.gov: NCT05060055).ResultsThirty‐two patients (mean age 48 ± 11 years), sixteen in each group, were evaluated after a 12‐month period. After 1 year of treatment, no significant differences were found between groups, although in participants with BT ≤1 mm, control and test groups showed a BVv of −14.18 ± 3.49% and −8.30 ± 3.78%, respectively (p = .033). Regarding mucosa height variation variables, the control group showed approximately the triple vertical recession in both papillae.ConclusionsThe placement of a CTG was not capable of completely maintaining the initial peri‐implant tissue architecture, although in thin‐bone phenotypes, less dimensional changes are expected when a CTG was used.