bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teachers’ Awareness and Sensitivity to a Bullying Incident: A Qualitative Study
Authors: Paljakka Antonia 
Published: July 2023

AbstractThis qualitative study explores how teachers assess a bullying scenario and what considerations guide their assessment. Thirty-eight secondary school teachers from across Austria participated in an online survey with open-ended questions based on two vignette: one depicting an incident of verbal and social bullying and the other a non-bullying incident of physical violence. Data were analyzed using qualitative content analysis. Although participating teachers did not know that bullying was the study focus, they still showed sensitivity toward bullying, in terms of recognizing and labelling the incident. However, the teachers’ answers also showed that their assessment only partly coincides with those criteria that are central in the scientific discussion of bullying. While the aspects of doing (intentional) harm and imbalance of power were relevant to teachers’ assessments, the criterion of repetition was not. The results further suggest that participants’ awareness and interventions are closely related to situational aspects, personal and professional experiences, beliefs, and attitudes and only to a small extent to knowledge or training. Implications for teachers’ education and research are discussed.
Safety Initiatives in Support of Safety Culture Development: Examples from Four Mining Organisations
Authors: Sundström Erik , Nygren Magnus 
Published: July 2023

AbstractHaving seen significant improvements to accident rates in the last 40 years, companies in the Swedish mining industry now show a greater focus on the development of safety cultures throughout their organisations and workplaces. However, there is a lack of research examining the different safety initiatives and strategies practiced in the industry today. This study explores the potential influence and consequences such initiatives may have on the development of safety cultures in the Swedish mining industry. Twelve interviews with experts on safety initiatives from four different Swedish mining organisations were conducted and analysed in a process based on qualitative thematic analysis to identify notable connections to safety culture development. The results of these interviews highlight proclivities in the implementation and use of safety initiatives such as subjects of focus, methods and desired effects. This enables the interpretation of the conceptualisation and methods for the development of safety culture in these organisations based on their approaches to safety development. We believe the results of this study can serve as support for discussions on safety culture development in the Swedish mining industry, and be of interest for international mining industries, in addition to approaches to research in this field. However, we also believe it is important to emphasise the opportunities to approach safety culture in mining from different perspectives than those common today.
Bird community effects on avian malaria infections
Authors: Tamayo-Quintero Juliana , Martínez-de la Puente Josué , San-José Miriam , González-Quevedo Catalina , Rivera-Gutiérrez Héctor F. 
Published: July 2023

AbstractIn community assembly processes, interspecific interactions play an important role in shaping community diversity, especially at the local scale. Changes in species richness or abundance can modify local infectious disease dynamics, either reducing or increasing the risk of transmission within the community. This study evaluates the effects of bird community on avian haemosporidians infections in a Neotropical region. Bird samples were collected from areas surrounding three dams, and molecular analysis were performed to identify blood-parasitic haemosporidia infecting the birds. Generalized linear models were used to analyze the relationships between the bird community and the prevalence, number of infections, and richness of avian haemosporidian lineages. Non-significant effects of bird community dominance and richness on the prevalence of avian parasites and the number of infections of Haemoproteus were found. However, there was evidence of an amplification effect. Host dominance was associated with the total number of infections, the number Plasmodium infections and the expected richness of Plasmodium lineages, while the expected richness of Haemoproteus lineages was associated with the richness of bird species. These findings highlight the role of host community dominance and richness in the dynamics of parasite infections, potentially influenced by the availability of competent hosts. This study contributes significantly to our understanding of blood parasite diversity in tropical birds within a relatively understudied region of South America.
Identifying and profiling structural similarities between Spike of SARS-CoV-2 and other viral or host proteins with Machaon
Authors: Kakoulidis Panos , Vlachos Ioannis S. , Thanos Dimitris , Blatch Gregory L. , Emiris Ioannis Z. , Anastasiadou Ema 
Published: July 2023

AbstractUsing protein structure to predict function, interactions, and evolutionary history is still an open challenge, with existing approaches relying extensively on protein homology and families. Here, we present Machaon, a data-driven method combining orientation invariant metrics on phi-psi angles, inter-residue contacts and surface complexity. It can be readily applied on whole structures or segments—such as domains and binding sites. Machaon was applied on SARS-CoV-2 Spike monomers of native, Delta and Omicron variants and identified correlations with a wide range of viral proteins from close to distant taxonomy ranks, as well as host proteins, such as ACE2 receptor. Machaon’s meta-analysis of the results highlights structural, chemical and transcriptional similarities between the Spike monomer and human proteins, indicating a multi-level viral mimicry. This extended analysis also revealed relationships of the Spike protein with biological processes such as ubiquitination and angiogenesis and highlighted different patterns in virus attachment among the studied variants. Available at: https://machaonweb.com.
Employment and Work Task Characteristics of 111 Swedish School-Based Speech-Language Pathologists
Authors: Sandgren Olof , Samuelsson Christina , Fredriksson Emma , Järnvall Ebba , Ekström Anna 
Published: July 2023

Purpose:
Speech-language pathologists (SLPs) are a new but rapidly growing addition to the Swedish school work force. This study sought to inventory the employment and work task characteristics of school-based SLPs to assess equitable access to SLP services.

Method:
We collected questionnaires from 111 SLPs currently practicing in Swedish schools. The respondents were asked for details regarding their employment.

Results:
Roughly equal proportions of respondents reported to work with intervention and consultation to teaching staff. Almost all reported that the preservice training provided insufficient preparation for school-based practices. The work assignments of school-based SLPs were more similar than 10 years ago, likely a consequence of agreements between the parties caring for students with language disorder, and the vast majority of SLPs now being employed within student health teams. However, differences in workload and assigned tasks affect the nature of the work performed, to the point that current best practice cannot always be upheld.

Conclusions:
The results indicate that the services provided by Swedish school-based SLPs can be expected to vary because of qualitative and quantitative differences in employment and work task characteristics. The results are discussed in light of reviews of language interventions for children and young people.
Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model
Authors: Mantello Peter , Ho Manh-Tung , Nguyen Minh-Hoang , Vuong Quan-Hoang 
Published: July 2023

AbstractThe rise of emotional AI signals a new era in human-machine relations where intelligent machines not onlyfeelbut alsofeedon human emotions as statistical fodder with the goal of reshaping our behavior. Unlike many smart technologies, emotion-recognition systems sense, monitor, harvest and analyze data extracted from a person’s non-conscious or psycho-physical state, often without their knowledge or consent. As a far more invasive manner of surveillance capitalism, the technological adoption of emotional AI is problematized by a myriad of legal, ethical, cultural, and scientific issues. To better understand the behavioral factors determining an individual’s attitude towards this emerging technology, we first identify five major tensions that may impinge on adoption. Second, we extend the Technological Acceptance Model (TAM) (Davis, 1989) model with insights from the mindsponge model of information filtering (Vuong and Napier, 2015) along with quantitative affordances offered by the Bayesian computational approach. Our analysis was conducted based on a multi-national dataset surveying perceptions of 1015 young adults (age 18–27) regarding emotional AI applications and their socio-cultural characteristics such as income, region, religiosity, and home country politics. These characteristics are fed into our Bayesian multi-level models as varying intercepts so that we can systematically measure and compare the effects of various behavioral determinants on the attitudes of respondents towards non-conscious data harvesting by government and private sector actors. Critically, this study finds respondents who feel more familiar with, and perceive more utilities in AI technologies, as well as rate themselves as more restrained from heated arguments on social media, feel less threatened by the practice of non-conscious data harvesting by both government and private sector actors. Our findings offer a fertile platform for further exploration of the intersection between psychology, culture, and emotion-recognition technologies as well as important insights for policymakers wishing to ensure design and regulation of the technology serve the best interests of society.
Urban Sprawl Symptoms in Makassar City
Authors: Amri Erwin , Manaf Murshal 
Published: July 2023

Abstract
Urban sprawl symptoms are characterized by the phenomenon of the expansion of urban functional areas into urban fringe areas. The residential area of Bumi Tamalanrea Permai Makassar showed the symptoms, where the dynamics of densification and dualistic residential areas and the region’s growth have exceeded the supporting capacity and basic availability infrastructure in the area. This article was intended to explore the processes, activities, and analysis of urban sprawl symptoms in urban fringe using a mixed quantitative and qualitative/mixed methods approach. The research results show that there has been densification, dualistic settlements, gated areas beyond urban functional boundaries, and changes in the pattern of the transformation of physical and spatial functions toward the urban fringe in such a way that they form urban sprawl.
Inhibition Study of Low Carbon Steel Corrosion in Hydrochloric Acid Media Using Pluchea indica Less Extract
Authors: Pratiwi Diana Eka , Putri Suriati Eka , Majid Ahmad Fudhail 
Published: July 2023

Abstract
This research aims to determine the ability of Pluchea indica Less methanol extract as an inhibitor in the low carbon steel corrosion in 1 M hydrochloric acid media. HCl solution was reacted with P. indica Less leaves extract to decelerate the process of oxidation of iron (Fe) with concentration variations of 0 ppm, 500 ppm, 1000 ppm, 1500 ppm, and 2000 ppm immersion time of 2, 4, and 6 days. The corrosion level was determined by the loss of weight and the method of potentiodynamic polarization. Low carbon steel delineation was analyzed using the instrument of Scanning Electron Microscopy-Energy Dispersive Spectroscopy (SEM-EDS). The loss of weight and the method of potentiodynamic polarization indicated the lowest level of corrosion at six days of immersion with the concentration of extract of 2000 ppm, each of 2.5195109 mmpy with 97 % efficiency 2.18225455 mmpy with the efficiency of 98 %. The superficies of carbon steel immersed in HCl 1 M solution without inhibitor contained more holes and cracks than the superficies of carbon steel immersed in HCl 1 M solution in the presence of P. indica Less leaves extract. The results showed that P. indica Less leaves extract can inhibit corrosion of low carbon steel in acid media HCl 1 M. Greater extract concentration and longer immersion time result in a lower level of corrosion and greater efficiency of inhibition.
The Strategy of Management of Mangrove Forests Area as a Sustainable Production Area in Coastal of Takalar Regency, South Sulawesi
Authors: Taufieq Nur Anny Suryaningsih , Arfan Amal , Side Syafruddin , Maru Rosmini , Salsabila Putri Humaira 
Published: July 2023

Abstract
A sustainable production forest is a forest that can produce economically valuable and sustainable products, meaning that these products are used for life today and in the future. Mangrove forests products and services consist of wood and non-timber. Such as wood and aquatic organisms living in it as a source of income and livelihood for the community around the mangrove forest area. The data collection techniques used were adjusted to the required data, including observation, documentation techniques, in-depth interviews, and focus group discussions. The number of samples used was 60 people. It was determined using a SWOT analysis to specify the management of mangrove forests strategy as a sustainable production forest area. Furthermore, internal (Internal Factor Analysis Strategic) and external (External Factor Analysis Strategic) factors are calculated. Based on this, the strategy taken is (1) developing the sustainable and economically valuable mangrove forest resources potential through cultivation and fishing that is environmentally friendly, (2) increasing the role of NGOs to increase knowledge and community awareness in mangrove management, (3) developing the potential of mangrove forests as an eco-tourisms area, (4) empowering communities through groups of fishermen/farmers to create a home-scale industry based on mangrove resources.
Mappakalebbi Ale Hanua: Knowledge of Karampuang Indigenous Communities in Forest Conservation Sinjai District South Sulawesi Indonesia
Authors: Syarif Erman , Maddatuang  , Yusuf Muhammad , Saputro Alief 
Published: July 2023

Abstract
Human knowledge about forest conservation can be realized through the local wisdom of the community. Values and meanings in local wisdom are important for suppressing ecological crises that create imbalances in ecosystems. This study aims to reveal the local wisdom values of the Karampuang indigenous people in conserving forests. The method used in this research is descriptive qualitative ethnography with data collection through participatory observation, in-depth interviews and documentation. The results of the study show that the local wisdom in forest conservation owned by the Karampuang indigenous people in the Bugis tribe has been embodied in their concept of: Mapakalebbi ale hanua (respect for the forest). The practice of mapakalebbi ale hanua such as; Mappatau ale (humanizing the forest), De’namakkasolang ale (not destroying the forest), Tuo kamase mase (simple life). The existence of the Mapakalebbi ale hanua concept is interpreted by the community to be quite effective in keeping the forest sustainable.
Macrozoobenthos Diversity on Mangkoso Beach in Barru Regency
Authors: Kaseng Ernawati Syahruddin , Suhaeb Firdaus W. 
Published: July 2023

Abstract
Research on the diversity of Macrozoobenthos on the coast of Mangkoso village, Barru Sub-district in Barru district. The purpose of this research is to determine the diversity of Macrozoobentos. This research uses the purposive sampling method in determining the location of research stations and plot making using the line Transect method. The research station consists of three stations, i.e., Station 1, Station 2, and Station 3. The results of the study found 20 species of Macrozoobentos consisting of 13 species from Klas Gastropoda, from Classis Bivalvia 5 species, Polychaeta 1 species and Crustacea 1 species to a total of 20 species (Fillum Mollusca), Cerithium dialeum species, Cerithium sp, Clithon faba, Clithon oualaniense, Clithon sp, Hebra corticata, Hebra sp, Littorina sp, Nassarius bimacularus, Nerita sp, Smaragdia rangiana, Tornatina coarctata, and Vitta sp. Class Bivalvia consists of Anadara sp, Epicodakia sp, Spondylus sp, Tellina mariae, and Tellina sp. While Class Polychaeta, each one species is Naineris and Uca sp. The composition of the species, the population density, the negation, and uniformity of the community macrozoobenthos that the Station 2 is higher than Stations 1 and 3. It is seen on the results of the diversity index (H′) of Macrozoobentos at Station 1 (0.92) and Station 2 (2.55). All three stations indicate that low diversity and environmental quality conditions are in a half-polluted state. The seawater’s quality around the coastal Mangkoso village, Barru District, needs the local government’s attention to reduce environmental pollution.
GSM-based LPG (Liquified Petroleum Gas) Leakage Detection and Alert System
Authors: Abdullah Wildan , Ramadhani Uri Arta , Saputra Efa Maydhona 
Published: July 2023

Abstract
LPG (Liquified Petroleum Gas) is widely used by the nation. However, in reality, LPG sometimes may endanger users if there is a leak either in the cylinder or gas hose. It is caused by the fact that LPG is a flammable gas when in free air and can cause explosions. To overcome this jeopardy, we need a system device that can detect LPG leaks and provide early warnings to users when LPG leaks occur. This work’s detection system will classify LPG leakage conditions based on PPM (part per million) values determined by the MQ-6 sensor. These conditions are divided into three states, namely, safe, alert, and danger level. The tool is designed to have the main feature of providing hazard warnings through cellular calls and SMS (Short Message Service) to the user’s mobile phone when an LPG leak occurs in a hazardous condition. Besides the main features, other features can inform the remaining LPG gas in the cylinder, check the GSM sim card’s credit balance, and automatically turn on the fan when an LPG leak occurs. The device’s testing shows that the system successfully sent an SMS and called the user when a leak occurred in danger status. Also, the device managed to turn on the fan automatically and emit an alarm.
Development and Validation of an Abridged Physical Frailty Phenotype for Clinical Use: A Cohort Study Among Kidney Transplant Candidates
Authors: Chen Xiaomeng , Chu Nadia M , Thompson Valerie , Quint Evelien E , Alasfar Sami , Xue Qian-Li , Brennan Daniel C , Norman Silas P , Lonze Bonnie E , Walston Jeremy D , Segev Dorry L , McAdams-DeMarco Mara A 
Published: July 2023

Abstract

Background
Frailty is associated with poor outcomes in surgical patients including kidney transplant (KT) recipients. Transplant centers that measure frailty have better pre- and postoperative outcomes. However, clinical utility of existing tools is low due to time constraints. To address this major barrier to implementation in the preoperative evaluation of patients, we developed an abridged frailty phenotype.

Methods
The abridged frailty phenotype was developed by simplifying the 5 physical frailty phenotype (PFP) components in a two-center prospective cohort of 3 220 KT candidates and tested for efficiency (time to completion) in 20 candidates evaluation (January 2009 to March 2020). We examined area under curve (AUC) and Cohen’s kappa agreement to compare the abridged assessment with the PFP. We compared waitlist mortality risk (competing risks models) by frailty using the PFP and abridged assessment, respectively. Model discrimination was assessed using Harrell’s C-statistic.

Results
Of 3 220 candidates, the PFP and abridged assessment identified 23.8% and 27.4% candidates as frail, respectively. The abridged frailty phenotype had substantial agreement (kappa = 0.69, 95% CI: 0.66–0.71) and excellent discrimination (AUC = 0.861). Among 20 patients at evaluation, abridged assessment took 5–7 minutes to complete. The PFP and abridged assessment had similar associations with waitlist mortality (subdistribution hazard ratio [SHR] = 1.62, 95% CI: 1.26–2.08 vs SHR = 1.70, 95% CI: 1.33–2.16) and comparable mortality discrimination (p = .51).

Conclusions
The abridged assessment is an efficient and valid way to identify frailty. It predicts waitlist mortality without sacrificing discrimination. Surgical departments should consider utilizing the abridged assessment to evaluate frailty in patients when time is limited.
The Book in the Vaiṣṇava Ācāryas’ Hands
Authors: Loewy Shacham Ilanit 
Published: July 2023

AbstractThis paper focuses on images of human Vaiṣṇava figures holding ‎a book in their hands, and the history and ‎significance of this iconographic detail. The paper argues that in Vaiṣṇava South India, the book as an iconographic marker of human figures is a fairly recent development, though its roots can be situated in the period of the Vijayanagara Empire. The paper also demonstrates that while the book itself may appear as a stable iconographic marker, the meanings attached to it for different figures is not, thereby problematising the notion of iconographic code.
Exact and rapid linear clustering of networks with dynamic programming
Authors: Patania Alice , Allard Antoine , Young Jean-Gabriel 
Published: July 2023

We study the problem of clustering networks whose nodes have imputed or physical positions in a single dimension, for example prestige hierarchies or the similarity dimension of hyperbolic embeddings. Existing algorithms, such as the critical gap method and other greedy strategies, only offer approximate solutions to this problem. Here, we introduce a dynamic programming approach that returns provably optimal solutions in polynomial time—O(n2)steps—for a broad class of clustering objectives. We demonstrate the algorithm through applications to synthetic and empirical networks, and show that it outperforms existing heuristics by a significant margin, with a similar execution time.