bluuebunny/crossref_metadata_2025_split huggingface dataset:
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
Authors: Di Biasi Luigi , De Marco Fabiola , Auriemma Citarella Alessia , Castrillón-Santana Modesto , Barra Paola , Tortora Genoveffa 
Published: October 2023

Abstract
Background
Melanoma is one of the deadliest tumors in the world. Early detection is critical for first-line therapy in this tumor pathology and it remains challenging due to the need for histological analysis to ensure correctness in diagnosis. Therefore, multiple computer-aided diagnosis (CAD) systems working on melanoma images were proposed to mitigate the need of a biopsy. However, although the high global accuracy is declared in literature results, the CAD systems for the health fields must focus on the lowest false negative rate (FNR) possible to qualify as a diagnosis support system. The final goal must be to avoid classification type 2 errors to prevent life-threatening situations. Another goal could be to create an easy-to-use system for both physicians and patients.

Results
To achieve the minimization of type 2 error, we performed a wide exploratory analysis of the principal convolutional neural network (CNN) architectures published for the multiple image classification problem; we adapted these networks to the melanoma clinical image binary classification problem (MCIBCP). We collected and analyzed performance data to identify the best CNN architecture, in terms of FNR, usable for solving the MCIBCP problem. Then, to provide a starting point for an easy-to-use CAD system, we used a clinical image dataset (MED-NODE) because clinical images are easier to access: they can be taken by a smartphone or other hand-size devices. Despite the lower resolution than dermoscopic images, the results in the literature would suggest that it would be possible to achieve high classification performance by using clinical images. In this work, we used MED-NODE, which consists of 170 clinical images (70 images of melanoma and 100 images of naevi). We optimized the following CNNs for the MCIBCP problem: Alexnet, DenseNet, GoogleNet Inception V3, GoogleNet, MobileNet, ShuffleNet, SqueezeNet, and VGG16.

Conclusions
The results suggest that a CNN built on the VGG or AlexNet structure can ensure the lowest FNR (0.07) and (0.13), respectively. In both cases, discrete global performance is ensured: 73% (accuracy), 82% (sensitivity) and 59% (specificity) for VGG; 89% (accuracy), 87% (sensitivity) and 90% (specificity) for AlexNet.
Skeletal muscle oxygenation during cardiopulmonary resuscitation as a predictor of return of spontaneous circulation: a pilot study
Authors: Košir Miha , Možina Hugon , Podbregar Matej 
Published: October 2023

Abstract
Background
Near-infrared spectroscopy (NIRS) provides regional tissue oxygenation (rSO2) even in pulseless states, such as out-of-hospital cardiac arrest (OHCA). Brain rSO2 seems to be important predictor of return of spontaneous circulation (ROSC) during cardiopulmonary resuscitation (CPR). Aim of our study was to explore feasibility for monitoring and detecting changes of skeletal muscle rSO2 during resuscitation.

Methods
Skeletal muscle and brain rSO2 were measured by NIRS (SenSmart Model X-100, Nonin, USA) during CPR in adult patient with OHCA. Start (basal) rSO2, maximal during CPR (maximal) and difference between maximal–minimal rSO2 (delta-rSO2), were recorded. Patients were divided into ROSC and NO-ROSC group.

Results
20 patients [age: 66.0ys (60.5–79.5), 65% male] with OHCA [50% witnessed, 70% BLS, time to ALS 13.5 min (11.0–19.0)] were finally analyzed. ROSC was confirmed in 5 (25%) patients. Basal and maximal skeletal muscle rSO2 were higher in ROSC compared to NO-ROSC group [49.0% (39.7–53.7) vs. 15.0% (12.0–25.2), P =  0.006; 76.0% (52.7–80.5) vs. 34.0% (18.0–49.5), P =  0.005, respectively]. There was non-linear cubic relationship between time of collapse and basal skeletal muscle rSO2 in witnessed OHCA and without BLS (F-ratio = 9.7713, P =  0.0261). There was correlation between maximal skeletal muscle and brain rSO2 (n = 18, rho: 0.578, P =   0.0121).

Conclusions
Recording of skeletal muscle rSO2 during CPR in patients with OHCA is feasible. Basal and maximal skeletal muscle rSO2 were higher in ROSC compared to NO-ROSC group.
Clinical trial registration number ClinicalTrials.gov, NCT04058925, registered on: 16th August 2019. URL of trial registry record: https://www.clinicaltrials.gov/ct2/show/NCT04058925?titles=Tissue+Oxygenation+During+Cardiopulmonary+Resuscitation+as+a+Predictor+of+Return+of+Spontaneous+Circulation&draw=2&rank=1.
Impact of social support and mindfulness in the associations between perceived risk of COVID-19 acquisition and pregnancy outcomes in Iranian population: a longitudinal cohort study
Authors: Sharifi-Heris Zahra , Amiri-Farahani Leila , Shahabadi Zahra , Sanaei Mohaddeseh 
Published: October 2023

Abstract
Background and aims
Various devastating infection outbreaks including COVID-19, threat both mother and fetus health. These life-threating outbreaks as potential harms are highly associated with relevant perceived risk. Social support and mindfulness are two factors that may moderate the associations between the perceived risk of COVID-19 and pregnancy outcomes. In this study we investigated the potential moderating impact of social support and mindfulness in the aforementioned association.

Methods
This study is a longitudinal cohort study in which 483 Iranian pregnant women in Tehran have been studied. Perceived risk of COVID-19 questions, Mindful Attention Awareness Scale (MAAS), and Multidimensional Scale of Perceived Social Support (MSPSS) were used through an online platform to assess the independent variables during pregnancy. Neonatal and maternal outcomes including gestational diabetes, gestational hypertension, preeclampsia, abortion, birth weight, and gestational age at birth, was extracted from Electronic Health Record (EHR) after childbirth as the dependent variables. The aim of the study is to investigate whether social support and mindfulness can affect the associations between perceived risk of Covid-19 acquisition and pregnancy outcomes.

Results
Perceived risk of COVID-19 was negatively associated with pregnancy outcomes including birth weight (-28, 95% CI [-53, -3.4], p < .05) and gestational age at birth (-0.9, 95% CI [-2,0.11], p < .05). However, social support could not moderate these associations. Mindfulness, on the other hand, moderated the association between perceived risk and stillbirth meaning that by increasing mindfulness, the association between the perceived risk and stillbirth may also be increased (OR = 0.03; p < .05).

Conclusion
The findings of this study showed that social support lacks the moderating impact on the association between perceived risk of COVID-19 and pregnancy outcomes. Mindfulness, on the other hand, indicate a positive moderating impact for the association between perceived risk of Covid-19 and stillbirth. More studies in different populations are suggested to investigate the impact of mindfulness and social support on the association between perceived risk and pregnancy outcomes.
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation
Authors: Zheng Dashun , Wang Rongsheng , Duan Yaofei , Pang Patrick Cheong-Iao , Tan Tao 
Published: October 2023

AbstractWaste pollution is a significant environmental problem worldwide. With the continuous improvement in the living standards of the population and increasing richness of the consumption structure, the amount of domestic waste generated has increased dramatically, and there is an urgent need for further treatment. The rapid development of artificial intelligence has provided an effective solution for automated waste classification. However, the high computational power and complexity of algorithms make convolutional neural networks unsuitable for real-time embedded applications. In this paper, we propose a lightweight network architecture called Focus-RCNet, designed with reference to the sandglass structure of MobileNetV2, which uses deeply separable convolution to extract features from images. The Focus module is introduced to the field of recyclable waste image classification to reduce the dimensionality of features while retaining relevant information. To make the model focus more on waste image features while keeping the number of parameters small, we introduce the SimAM attention mechanism. In addition, knowledge distillation was used to further compress the number of parameters in the model. By training and testing on the TrashNet dataset, the Focus-RCNet model not only achieved an accuracy of 92$$\%$$
%
but also showed high deployment mobility.
Wear behaviour of hybrid (boron carbide-graphite) aluminium matrix composites under high temperature
Authors: Nagaraju Sharath Ballupete , Somashekara Madhu Kodigarahalli , Govindaswamy Pradeep Dyavappanakoppalu , Puttegowda Madhu , Shankar Premkumar Bagade Girija , Sathyanarayana Karthik 
Published: October 2023

AbstractAluminium MMCs are among the many metal composites and are regarded as progressive engineering materials in numerous industries because of their advantages compared to standard aluminium alloy. Among the reinforcements in MMCs, ceramic particles are preferred for their superior wear resistance, temperature resistance, and adhesion to their matrix, making them a popular choice. This research work has been carried out to synthesise ceramic particle-reinforced aluminium metal matrix composites and to evaluate their tribological properties at different temperatures (50–300℃). Al2618 alloy was selected as the matrix, and boron carbide (B4C) and graphite (Gr) were selected as reinforcements. Hybrid composites are prepared through stir casting by varying the wt.% of B4C and Gr reinforcement particles with a ratio of 3:2. Microstructural observation shows the uniform distribution of B4C and Gr particles throughout the matrix without any agglomeration, and it also exhibits excellent scanning electron microscope (SEM). X-ray diffraction analysis (XRD) was performed to verify the presence of different constituents in the developed material. Samples S4 (Al 2618 + 12 wt.% B4C—8 wt.% Gr) and S5 (Al 2618 + 15 wt.% B4C—10 wt.% Gr) exhibit enhanced wear resistance (16.45%) due to the incorporation of a higher quantity of Gr solid lubricants alongside B4C within the temperature range of 50 to 300℃. The thickness and stability of the glazed layer exhibited adequate resistance to wear.
Design for Learning in Museums: A Professional Development Exercise
Authors: Xanthoudaki Maria 
Published: October 2023

The paper discusses the role of educational research and reflective practice in the design of a learning methodology in a museum education context. Educational research and reflective practice are addressed for their role in visitor-centred experiences and in the professional development of museum educators through the case of the National Museum of Science and Technology Leonardo da Vinci. The paper first examines the research questions by looking into the work of the Education Department of the Museum in order to contextualize and justify certain choices and directions in the development of visitor learning and experience. It then analyses one of the education projects of the Museum, “Future Inventors”, as the context for the learning design and reflective practice processes in order to question traditional epistemological stances in visitor learning and to stress the importance of professional development for museum educators to enrich their knowledge in the field and the competences necessary to stand as the audience advocates within the museum institution.
ANALYSIS OF FACTORS AFFECTING STAFF WORKING CONDITIONS IN EDUCATIONAL INSTITUTIONS
Authors: Tarhanova E. , Loshkanova A. 
Published: October 2023

The purpose of the study presented in the article is to study and analyze factors, external and internal, that affect working conditions in educational institutions and determine the directions for their improvement. The importance of working conditions and their impact on the quality of education is noted, the classification of working conditions is highlighted, the importance of observing not only sanitary and hygienic standards and safety precautions, but also the socio-economic and socio-psychological components of working conditions is noted. Particular attention is paid to the analysis of factors affecting working conditions in educational institutions: socio-production (technical), socio-economic, socio-hygienic (sanitary and hygienic), socio-psychological. The novelty of the work is a comprehensive study of working conditions in an educational institution in the city of Penza. The theoretical significance of the work lies in the consideration of the terminological apparatus of working conditions and the identification of the essential characteristics of the working conditions of a general educational organization. The practical significance of the study lies in the fact that, based on the results of the study, problems were identified and areas of work were identified that need to be changed or adjusted to improve working conditions and improve the quality of the educational institution as a whole. This will reduce staff turnover, prevent professional burnout of employees of an educational institution, increase their job satisfaction, which, in turn, will improve labor productivity and performance of the organization as a whole. The identified aspects are designed for a “positive effect” and can be taken into account in the practical activities of organizations in similar areas of activity when developing specific recommendations for improving working conditions and certain aspects of personnel management.
HIGHLY QUALIFIED SPECIALISTS IN THE SYSTEM OF FOREIGN PERSONNEL MANAGEMENT
Authors: Starovoytov A. , Dupliy E. 
Published: October 2023

This article is devoted to the analysis of the status of a foreign worker on the territory of the Russian Federation, whose employment is due to various difficulties for the employer: obtaining a permit to attract foreign labor, a work permit for an employee, etc. Particular attention is paid to such a category of foreign workers as highly qualified specialists, attracting which is greatly simplified due to the high interest in such specialists and their unique skills. The isolated position of highly qualified specialists among other categories of foreign workers is determined by building such relationships with the employer, in which the latter bears increased responsibility for the foreign worker and his actions in the Russian Federation, assumes additional obligations To determine the specifics of this connection and the peculiarities of the position of a highly qualified specialist, to familiarize themselves with the specific rules of law governing their employment and labor activity.
B&B Customer Experience and Satisfaction: Evidence from Online Customer Reviews
Authors: Jia Mengke , Kim Hak-Seon , Tao Shuting 
Published: October 2023

With the popularity of the internet and the rapid growth of user-generated content facilitated by various platforms of social media, online reviews have become an important source of information for customers to obtain product information and affect their purchasing decisions in the service industry. The accelerated development of bed-and-breakfasts (B&Bs) in the context of a rural revitalization strategy implies a shift in people’s demand from standardized to personalized accommodation. From the first establishment to the well-developed industry, the competition among diverse B&Bs is getting fiercer, and it is essential for business operators to understand their customers deeply and timely. Therefore, online reviews posted by customers freely and in real time were adopted to explore key dimensions reflecting customer experience and examine their relationship with customer satisfaction, which is a vital antecedent for customer loyalty, repurchase intention, etc. A total of 8,691 reviews from Ctrip were collected and then used for extracting relative insights and cognition by qualitative and quantitative analysis. Consequently, several implications for future research development and practical application are discussed for service promotion and development of the B&B industry. Funding: This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2022S1A5A2A03052622).
Almajiri health; a scoping review on disease, health literacy and space for participatory research
Authors: Muhammad Muzzammil Imran , Abdulsalam Amna Hassana , Petit-Clair Fadhina , Acquaye Amber , Nobles Autumn , Fleischer Brian , Konkwo Chigoziri , Ransome Yusuf , Paintsil Elijah 
Published: October 2023

IntroductionAlmajiraiare male children in Northern Nigeria and Southern Niger who study Islam in thealmajirancisystem. Almajiranci has been associated with non-participation in formal education, abuse, poverty, and underdevelopment. However, the peer-reviewed literature around health among almajirai remains limited. We conduct a scoping review around almajiri health to synthesize evidence for health problems, draw links between findings, identify research gaps, indicate areas for intervention, and assess participatory approaches in this literature.MethodsWe searched the academic literature for articles concerning almajiri heath using a framework integrating the biopsychosocial and socio-ecological models of health. We included articles in English and French published between 2000 and 2022. For each study we collected information regarding authorship, study year and location(s), study design and aims, sample characteristics, findings, and almajiri participation in research design, execution, interpretation and dissemination.ResultsOf 1,944 studies, 17 were found relevant for data extraction. These included 14 cross-sectional studies, 2 descriptive articles, and one case-control study. All were conducted in Nigeria, though one included Nigerien almajirai. No study engaged almajirai in participatory roles. Domains evaluated included infectious disease (10 studies), oral health (2 studies), workplace injury, nutrition, health status, health determinants, and mental health (1 study each). Almajirai included ranged from 3 to 28 years old. Included studies found high rates of malaria, intestinal parasitosis, urinary tract infection, N. meningitidis, and occupational injury among almajirai. Studies comparing almajirai to controls found significantly higher rates of cholera, urinary schistosomiasis, and psychiatric disorders, lower levels of rabies awareness and poorer oral hygiene among almajirai (p<0.05). One study, concerning nutrition, described an intervention to improve almajiri health, though did not provide health outcomes for that intervention.ConclusionWe find that the literature around almajiri health has concerned a broad range of domains, though the number of studies within each domain remains limited. We further note limitations in the geographic scope of this literature, interventions to improve almajiri health, and the consideration of demographic features, like age, that may influence almajiri health. We stress the need for further study in these areas, and for participatory approaches, which may be more likely to effectively improve almajiri health.
Association between air temperature and risk of hospitalization for genitourinary disorders: An environmental epidemiological study in Lanzhou, China
Authors: Zhang Runping , Zhang Wancheng , Ling Jianglong , Dong Jiyuan , Zhang Li , Ruan Ye 
Published: October 2023

Objectives
The aim of this study was to investigate the relationship between air temperature and the risk of hospitalization for genitourinary disorders.

Methods
Distributed lag non-linear models (DLNM) were used to estimate the association between air temperature and the risk of hospitalization for genitourinary disorders, with subgroup analysis by gender and age to identify the susceptible population of temperature-sensitive genitourinary system diseases.

Results
Low mean temperature (MT) (RR = 2.001, 95% CI: 1.856~2.159), high MT (RR = 2.884, 95% CI: 2.621~3.173) and low diurnal temperature range (DTR) (RR = 1.619, 95% CI: 1.508~1.737) were all associated with the increased risk of hospitalization for genitourinary disorders in the total population analysis, and the high MT effect was stronger than the low MT effect. Subgroup analysis found that high MT was more strongly correlated in male (RR = 2.998, 95% CI: 2.623~3.427) and those <65 years (RR = 3.003, 95% CI: 2.670~3.344), and low DTR was more strongly correlated in female (RR = 1.669, 95% CI: 1.510~1.846) and those <65 years (RR = 1.643, 95% CI: 1.518~1.780).

Conclusions
The effect of high MT on the risk of hospitalization for genitourinary disorders is more significant than that of low MT. DTR was independently associated with the risk of hospitalization for genitourinary disorders.
The Use of Deep Snare Biopsies to Diagnose Cronkhite-Canada Syndrome
Authors: Filipek Natalia , Dromparis Peter , Hujoel Isabel A. 
Published: October 2023

ABSTRACT
Cronkhite-Canada syndrome is a rare sporadic polyposis syndrome that presents with dermatologic and neurologic symptoms in addition to nutritional deficiencies. It can mimic alternate pathologies, such as Menetrier disease, making adequate histologic sampling with deep snare biopsies necessary for tissue comparison. We present a case report of Cronkhite-Canada syndrome that demonstrates the importance of deep tissue sampling for adequate diagnosis and treatment initiation.
Polymerized methyl imidazole silver bromide (CH3C6H5AgBr)6: Synthesis, crystal structures, and catalytic activity
Authors: Xin Aiyi , Yang Tingting , Peng Fang , Wang Zhiguo 
Published: October 2023

Abstract
One-pot synthesis of polymerized methyl imidazole silver bromide (CH3C6H5AgBr)6 Compound 1 was carried out by the reaction of methylimidazole, 1,2-dibromoethane, and Ag2O in tetrahydrofuran at 60°C for 2 h. Compound 1 was characterized by elemental analysis,
1
H nuclear magnetic resonance, and single crystal X-ray diffraction. The crystal cell parameters of Compound 1 are as follows: a = 8.916(4) Å, b = 17.655(9) Å, c = 9.024(4) Å, α = 90°, β = 103.621(7)°, γ = 90°, V = 1380.6(12) Å3, and Z = 4. The silver atoms in Compound 1 are pentacoordinated with three bromine atoms, one silver atom, and one nitrogen atom of methyl imidazole, and polymeric methyl imidazole silver bromide was formed based on this structure. The catalytic effects under optimized conditions were investigated in this study, and the results showed that Compound 1 possesses a strong catalytic effect on the oxidation of 2-methylnaphthalene with a conversion rate of 77.15% by using hydrogen peroxide as the oxidant at 80°C for 3 h. The catalytic mechanism was explored simultaneously.
On a class of stochastic differential equations driven by the generalized stochastic mixed variational inequalities
Authors: Zeng Qiaofeng , Min Chao , Fan Feifei 
Published: October 2023

Abstract
A new class of stochastic differential equations (SDEs) is introduced in this article, which is driven by the generalized stochastic mixed variational inequality (GS-MVI). First, the property of the solution sets of the GS-MVI is proved by Fan-Knaster-Kuratowski-Mazurkiewicz (FKKM) theorem and Aumann’s measurable selection theorem. Next, we obtain the Carathéodory property of the solution set, with which the discussed SDEs can be transformed to stochastic differential inclusions (SDIs). The solution set of the proposed SDEs is proved to be nonempty through the existence of the solutions of the corresponding SDIs by the tools of fixed point theorem.