bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disabled Students in Fieldwork Education: Academic Coordinators’ Perspectives on Accommodation Process
Authors: Mayer Yael , Mira Fernanda , Zaman Shahbano , Jarus Tal 
Published: February 2023

Abstract

Learning in a fieldwork setting is a requirement of many professional postsecondary programs, and prominent in health professions education. However, fieldwork education requirements can create additional challenges for disabled students. Academic coordinators, who are responsible for students’ placements, hold an important role in supporting disabled students in their fieldwork education. Nevertheless, studies on the roles and experiences of academic coordinators supporting students who require accommodations are limited. This exploratory study examined the perspectives of academic coordinators regarding their practices in supporting disabled students in health professions programs. The study employed a mixed methods design. Fifteen academic coordinators from occupational therapy programs completed a quantitative survey. Then, five of the academic coordinators participated in semi-structured interviews that supported the interpretation of the quantitative results. Academic coordinators faced complex barriers in providing disabled students the support they needed to succeed in fieldwork. Two main themes emerged: (1) ACs constantly navigated tensions with institutional norms regarding fieldwork and (2) ACs manage fieldwork accommodations within ever-changing human dynamics and social norms. Collaborative practices with fieldwork educators enabled the academic coordinators to overcome some of these barriers and create a more inclusive fieldwork education experience for disabled students. Further institutional and community resources are required.
Comparative Probability Based Seismic Safety Assessment of Base Isolated Building Frames
Authors: Narjabadifam Peyman , Mollaei Somayeh , Babaei Mehdi , Mousavi Navid 
Published: February 2023

Abstract

Seismic fragility curves are used to assess the probability of vulnerability of structures at various damage states. This research deals with the effects of different isolation systems on the seismic safety of a two-dimensional reinforced concrete moment-resisting frame. The reference structure was a hotel building in California. A comparative probability-based seismic safety of building components was investigated on the superstructure hypothetically fitted with various isolation systems. In this regard, two categories of isolation systems including, rubber-based and friction‐based were selected here. The High Damping Rubber Bearings and Friction Pendulum Systems were considered here. Incremental Dynamic Analyses were carried out for a suite of earthquake records to develop the fragility curves considering modeling, demand, and capacity uncertainties. Based on the main results, the influence of seismic isolation systems on the reduction of failure probability of building rather than fixed base (un-retrofitted) model was observed. Moreover, the High Damping Rubber Bearings were more reliable than Friction Pendulum Systems in the limit states studied. No significant discrepancy was, however, seen in the performance of building fitted with isolation systems at higher damage states.
The taxonomy of subjective cognitive decline: proposal and first clinical evidence from the Geneva memory clinic cohort
Authors: Ribaldi Federica , Palomo Rafael , Altomare Daniele , Scheffler Max , Assal Frederic , Ashton Nicholas J. , Zetterberg Henrik , Blennow Kaj , Abramowicz Marc , Garibotto Valentina , Chicherio Christian , Frisoni Giovanni B. 
Published: February 2023

Abstract

Background: Subjective Cognitive Decline (SCD) is characterized by subjective cognitive complaints without objective cognitive impairment and is considered a risk factor for cognitive decline and dementia. However, most SCD patients will not develop neurodegenerative disorders, yet they may suffer from minor psychiatric, neurological, or somatic comorbidities. The aim of the present study is to provide a taxonomy of the heterogeneous SCD entity by isolating homogenous SCD subgroups with specific clinical features and cognitive trajectories.
Methods: Participants were fifty-five SCD individuals consecutively recruited at the Geneva Memory Center. Based on clinical reports, they were classified into three clinically pre-defined subgroups: (i) those with psychological or psychiatric comorbidities (Psy), (ii) those with somatic comorbidities (SomCom), (iii) and those with no apparent cause (NAC). Baseline demographics, clinical, cognitive, and biomarker differences among the SCD subgroups were assessed. Longitudinal cognitive changes (average 3 years follow-up) were modeled using a linear mixed model.
Results: Out of the 55 SCD cases, 16 were SomCom, 18 Psy, and 21 NAC. 47% were female, mean age was 71 years. We observed higher frequency of APOE ε4 carriers in NAC (53%) compared to SomCom (14%) and Psy (0%, P=0.023) and lower level of plasma Aβ42 in NAC (6.8±1.0) compared to SomCom (8.4±1.1; P=0.031). SomCom subjects were older (74 years) than Psy (67 years, P=0.011), and had greater medial temporal lobe atrophy (1.0±1.0) than Psy (0.2±0.6) and NAC (0.4±0.5, P=0.005). SomCom have worse episodic memory performances (14.5±3.5) than Psy (15.8±0.4) and SomCom (15.1±0.7, P=0.032). We observed a slightly steeper, yet not statistically significant, cognitive decline in NAC (β=-0.48) compared to Psy (β=-0.28) and SomCom (β=-0.24).
Conclusions: NAC feature higher proportion of APOE ε4 carriers, lower plasma Aβ42, worse memory performance, and a trend towards steeper cognitive decline than SomCom and Psy. Taken together, these findings suggest that NAC are at higher risk of cognitive decline due to AD. The proposed clinical taxonomy might be implemented in clinical practice to identify SCD at higher risk. However, such taxonomy should be tested on an independent cohort with larger sample size.
Nuclear receptor co-repressor NCOR2 and its relation to GPER with prognostic impact in ovarian cancer
Authors: Reichenbach Juliane , Fraungruber Patricia , Mayr Doris , Buschmann Christina , Kraus Fabian B T , Topalov Nicole Elisabeth , Chelariu-Raicu Anca , Kolben Thomas , Burges Alexander , Mahner Sven , Kessler Mirjana , Jeschke Udo , Czogalla Bastian , Trillsch Fabian 
Published: February 2023

Abstract
Purpose
The significance of the non-classical G-protein coupled estrogen receptor (GPER) as positive or negative prognostic factor for ovarian cancer patients remains still controversial. Recent results indicate that an imbalance of both co-factors and co-repressors of nuclear receptors regulate ovarian carcinogenesis by altering the transcriptional activity through chromatin remodeling. The present study aims to investigate whether the expression of the nuclear co-repressor NCOR2 plays a role in GPER signaling which thereby could positively impact overall survival rates of ovarian cancer patients.
Methods
NCOR2 expression was evaluated by immunohistochemistry in a cohort of 156 epithelial ovarian cancer (EOC) tumor samples and correlated to GPER expression. The correlation and differences in clinical and histopathological variables as well as their effect on prognosis was analyzed by Spearman´s correlation, Kruskal-Wallis-test and Kaplan-Meier-estimates.
Results
Histologic subtypes were associated with different NCOR2 expression patterns. More specifically, serous and mucinous EOC demonstrated a higher NCOR2 expression (P = 0.008). In addition, high nuclear NCOR2 expression correlated significantly with high GPER expression (cc = 0.245, P = 0.008). A combined evaluation of both, high NCOR2 (IRS > 6) and high GPER (IRS > 8) expression revealed an association of a significantly improved overall survival (median OS 50.9 versus 105.1 months, P = 0.048).
Conclusion
Our results support the hypothesis that nuclear co-repressors such as NCOR2 may influence the transcription of target genes in EOC such as GPER. Understanding the role of nuclear co-repressors on signaling pathways will allow a better understanding of the factors involved in prognosis and clinical outcome of EOC patients.
Light in the box - photobiological examination chamber with light trap ventilation system for studying fungal surface cultures illustrated with Metarhizium brunneum and Beauveria brongniartii
Authors: Vrabl Pamela , Zottele Maria , Colleselli Lucia , Schinagl Christoph Walter , Mayerhofer Laura , Siewert Bianka , Strasser Hermann 
Published: February 2023

Abstract

Due to their versatile lifestyle as saprophytes, endophytes and entomopathogens, fungi of the genera Metarhizium and Beauveria are exposed to varying illumination conditions in their natural habitats, which makes a thorough adaptation to light very likely. While the few available studies for these genera support this assumption, research in this field is still in its infancy and the data material restricted to only a few fungal species. Thus, the aim of this work was to explore how light influences growth, conidial production and secondary metabolite formation of two industrial relevant strains of M. brunneum (MA 43, formerly M. anisopliae var. anisopliae BIPESCO 5/F52) and B. brogniartii (BIPESCO 2). To achieve this, we constructed an easily adjustable illumination device for highly standardized photophysiological studies of fungi on Petri dishes, the so-called LIGHT BOX. With the aid of this device, M. brunneum and B. brongniartii were grown on S4G or S2G agar at 25°C for 14 days either in complete darkness or under constant illumination with red light (λpeak = 635 nm), green light (λpeak = 519 nm) or blue light (λpeak = 452 nm). In addition, for each wavelength the effect of different illumination intensities was tested, i.e., intensities of red light ranging from 22.1 ± 0.1 to 136.5 ± 0.3 µW cm-², green light from 16.5 ± 0.1 to 96.2 ± 0.1 µW cm-², and blue light from 56.1 ± 0.2 to 188.9 ± 0.6 µW cm-². Both fungi strongly responded in terms of growth, conidial production, pigmentation and morphology to changes in the wavelength and irradiation intensity. The wavelength-dependent production of the well-known secondary metabolite oosporein which is secreted by the genus Beauveria in particular, was also increased under green and blue light exposure. The established LIGHT BOX system allows not only to optimize spore production yields with these biotechnologically relevant fungi, but also allows the photobiological exploration of other fungi.
Flood risk assessment using analytical hierarchy process: A case study from the Cheliff-Ghrib watershed, Algeria
Authors: Mokhtari Elhadj , Mezali Farouk , Abdelkebir Brahim , Engel Bernard 
Published: February 2023

AbstractFlooding is one of the most devastating natural disasters brought on by climate change in North Africa. The occurrence of flood risk is due to a combination of natural and man-made variables, necessitating a better knowledge of its spatial scope. The goal of this study is to locate and map flood-prone regions in the Cheliff-Ghrib watershed. Within the ArcGIS interface, this study is based on the integration of multi-criteria data such as slope, drainage density, type of soil, rainfall, population density, land use and sewer system density. For flood risk assessment and mapping, the Analytic Hierarchy Process (AHP) technique was employed as a multi-criteria analysis, allowing the integration of numerous factors under two criteria namely, hazards and vulnerability. The AHP flood risk map reveals that areas at high and extremely high risk of flooding cover 22.5% of the study area. According to the findings, the Cheliff-Ghrib watershed is extremely vulnerable to flooding. Eight of the Chelliff-Ghrib watershed's 15 municipalities (8/15) are at high risk of flooding, necessitating the development of efficient flood mitigation solutions for future flood events.
Experimental and DFT study of Cu(II) removed by Na-montmorillonite
Authors: Wang Danqi , Wang Ruicong , Peng Wencai , Zhang Jinli , Wang Yi , Huang Minghui , Zhang Na , Duan Yanan , Fang Ying 
Published: February 2023

Abstract
The experimental and theoretical studies on the adsorption of Cu(II) on the surface of Na-montmorillonite (Na-Mt) were reported. Effects of batch adsorption experimental parameters were studied. Density functional theory and molecular dynamics simulations were used to study the adsorption of Cu(II) on montmorillonite (001) surface. The adsorption reached equilibrium within 80 min and the adsorption capacity was 35.23 mg·g−1 at 25 °C. The adsorption data of Cu(II) were consistent with pseudo-second-order kinetics and Langmuir isotherm models. The adsorption process was dominated by physical adsorption (Ea was 37.08 kJ·mol−1) with spontaneous endothermic behavior. The influence of coexisting cations on the adsorption capacity of Cu(II) was Mg(II) &gt; Co(II) &gt; Ca(II) &gt; Na(I). The simulation results demonstrated that there were no significant differences in the adsorption energy of Cu(II) at the four adsorption sites on the montmorillonite (001) surface. Cu(II) had more electron transfer than Na(I). The diffusion coefficient of Cu(II) in the aqueous solution system containing montmorillonite was 0.85×10−10 m2·s−1. Considerable amounts of Cu(II) ions were adsorbed at a distance of 0.26 and 2.25 Å from the montmorillonite (001) surface. The simulation results provided strong supporting evidence for experimental conclusions.
Screening of MMP-2 Inhibiting Phytoconstituents for the Development of
Newer Pancreatic Cancer Treatment Modalities
Authors: Periyasamy Loganayaki , Murugantham Bharathi , Sundaraj Rajamanikandan , Krishnamoorthi Sneha , Muthusami Sridhar 
Published: February 2023

Background:
Pancreatic cancer metastasis is characterized by a higher incidence of
morbidity and mortality. The present study attempts to identify phytocomponents with the potential to
inhibit the secretion of MMP-2 by pancreatic cancer cells and ascertain the efficacy of individual
components.

Methods:
Overall survival analysis carried out revealed reduced survival of patients with high MMP-2
expression. Data analysis from TCGA revealed increased MMP-2 expression in pancreatic cancer
patients compared to adjacent normal tissues. The expression of MMP-2 was reported at different
stages of pancreatic cancer (Stage I-IV). To understand the relevance of phytocomponents in binding
to the catalytic site of MMP-2, molecular docking studies were performed to find the effectiveness
based on Glide score/energy. To substantiate the in-silico analysis, the eight components were also
tested in vitro for reducing the survival in PANC-1 cells at three different time points (24, 48, and 72
hours). Finally, zymography analysis was performed using the eight components in the PANC-1
conditioned media of treated cells to ascertain the enzymatic activity of MMP-2.

Results:
The obtained results suggest plumbagin, emodin, and EGCG exert potential inhibition in
PANC-1 cells, among other phytocomponents tested. Therefore, as assessed using computational
studies, the binding ability of plumbagin, emodin, and EGCG can be interpreted as inhibiting effects
on MMP-2 activities.

Conclusion:
These compounds could find potential application in preventing the progression,
sustenance, and metastasis of pancreatic cancer and need to be explored further using a pre-clinical
model system in order to validate the efficacy, bioavailability, and safety.
Investigation of the Process of Deep Drilling of Stainless Steel
Authors: Yatsun E. I. , Zubkova O. S. , Mogilev S. N. 
Published: February 2023

Purpose of research. Experimental assessment of the effect of deep drilling modes for high-alloy steel on the components of cutting forces. Making holes in a solid material with a hole depth equal to or greater than ten hole diameters refers to deep drilling operations. For drilling, special tools are used – drills for deep drilling - ejector, cannon, gun drills. Universal or special equipment is applied, the tooling includes travelling or fixed rests, guide bushes. To achieve this goal, it is necessary to choose equipment: type of tool for deep drilling, type of setting; create a model of the forces acting on the cutting part of the tool during deep drilling; evaluate the degree of influence of processing modes on cutting forces.Methods. The research is based on the cutting theory provisions, mechanical engineering technology, experiment planning and regression analysis.Results. Based on the provisions of mechanical engineering technology, the setting up for deep drilling with a rotating workpiece and a non-rotating drill, which is imparted only by the axial feed, was developed. A cutting tool for performing a deep drilling operation is defined – a gun drill. A pattern was created for such a processing scheme and experimental cutting forces were calculated. According to the results of the calculations, it is determined that the greatest influence on the components of the cutting force in a given range of cutting modes is exerted by the axial feed rate of the tool.Conclusion. The cutting forces that occur during deep drilling reach significant values. The polynomial equations obtained as a result of the study allow us to assess the degree of influence of processing modes on cutting forces, calculate cutting forces for further calculation for the sag of the stem of a gun drill.
Method for Early Diagnosis of Real-Time Traffic Loss with Timeout Monitoring in Software-Configurable Networks
Authors: Nikishin K. I. 
Published: February 2023

The purpose of the research is to develop the method for early diagnosis of real-time traffic loss with time-out control in software defined networks (SDN).Methods. An overview and description of the transfer of heterogeneous traffic in an Ethernet switch with support for quality of service and Time-Triggered Ethernet technology is given. The functioning of the timeout control blocks for instantaneous removal of a frame from the hard timeout control system and depending on the length of the frame when the idle timeout receiving side is reached is described in detail. These control units are included in the hardware guard of control time-outs for real-time traffic. The work of the switch OpenFlow is described using guard of control time-outs. The formation of time windows of timeouts during frame transmission is described and developed.Results. With the help of the proposed method of early diagnosis of real-time traffic losses with control of timeouts in SDN, a modeling of SDN based on Petri nets and using the CPN Tools modeling package was carried out. The obtained model and experimental results are consistent with the theoretical calculations and the proposed method of transmitting real-time traffic, taking into account its losses in SDN.Conclusion. Using the model, the functional and temporal behavior of the model was investigated; the method was verified using Petri nets. The results were obtained in the form of time diagrams reflecting the work on traffic types in accordance with the proposed method.
Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis
Authors: Xue Peng , Si Mingyu , Qin Dongxu , Wei Bingrui , Seery Samuel , Ye Zichen , Chen Mingyang , Wang Sumeng , Song Cheng , Zhang Bo , Ding Ming , Zhang Wenling , Bai Anying , Yan Huijiao , Dang Le , Zhao Yuqian , Rezhake Remila , Zhang Shaokai , Qiao Youlin , Qu Yimin , Jiang Yu 
Published: February 2023

Background
A number of publications have demonstrated that deep learning (DL) algorithms matched or outperformed clinicians in image-based cancer diagnostics, but these algorithms are frequently considered as opponents rather than partners. Despite the clinicians-in-the-loop DL approach having great potential, no study has systematically quantified the diagnostic accuracy of clinicians with and without the assistance of DL in image-based cancer identification.

Objective
We systematically quantified the diagnostic accuracy of clinicians with and without the assistance of DL in image-based cancer identification.

Methods
PubMed, Embase, IEEEXplore, and the Cochrane Library were searched for studies published between January 1, 2012, and December 7, 2021. Any type of study design was permitted that focused on comparing unassisted clinicians and DL-assisted clinicians in cancer identification using medical imaging. Studies using medical waveform-data graphics material and those investigating image segmentation rather than classification were excluded. Studies providing binary diagnostic accuracy data and contingency tables were included for further meta-analysis. Two subgroups were defined and analyzed, including cancer type and imaging modality.

Results
In total, 9796 studies were identified, of which 48 were deemed eligible for systematic review. Twenty-five of these studies made comparisons between unassisted clinicians and DL-assisted clinicians and provided sufficient data for statistical synthesis. We found a pooled sensitivity of 83% (95% CI 80%-86%) for unassisted clinicians and 88% (95% CI 86%-90%) for DL-assisted clinicians. Pooled specificity was 86% (95% CI 83%-88%) for unassisted clinicians and 88% (95% CI 85%-90%) for DL-assisted clinicians. The pooled sensitivity and specificity values for DL-assisted clinicians were higher than for unassisted clinicians, at ratios of 1.07 (95% CI 1.05-1.09) and 1.03 (95% CI 1.02-1.05), respectively. Similar diagnostic performance by DL-assisted clinicians was also observed across the predefined subgroups.

Conclusions
The diagnostic performance of DL-assisted clinicians appears better than unassisted clinicians in image-based cancer identification. However, caution should be exercised, because the evidence provided in the reviewed studies does not cover all the minutiae involved in real-world clinical practice. Combining qualitative insights from clinical practice with data-science approaches may improve DL-assisted practice, although further research is required.

Trial Registration
PROSPERO CRD42021281372; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=281372
Carbon Paste Electrode Modified by Dibenzo-18-crown-6 for the Determination of Paracetamol Using Differential Pulse Voltammetry Technique
Authors: Irdhawati Irdhawati , Methaninditya Ni Ketut Shinta Mas , Putra Anak Agung Bawa 
Published: February 2023

The fabrication, optimization and validation of measurement using a modified carbon paste electrode (CPE) with dibenzo-18-crown-6 were carried out for the determination of paracetamol in commercial products. The pH, dibenzo-18-crown-6 concentration in carbon paste, and scan rate parameters were optimized. Validation of the measurement was observed from linear concentration range, LoD, LoQ, precision, and percentage of the recovery. The result showed that the optimum pH was at 2, the optimum concentration of dibenzo-18-crown-6 in carbon paste was 0.6%, optimum scan rates were 35 mV/s for CPE, and increased to 50 mV/s using modified CPE. The linear concentration range for CPE was obtained at 10-300 µM with LoD and LoQ of 28.88 and 96.28 µM, respectively. Meanwhile, CPE modified with dibenzo-18-crown-6 gave wider linear concentration range at 1–700 µM with LoD and LoQ of 52.36 and 174.53 µM, respectively. The CPE and modified CPE had good precision, with Horwitz ratio values of less than two. The percentage of recovery for two samples with three replicates measurements was obtained (89.81 ± 1.38)% and (108.02 ± 0.42)% for samples A and B, respectively. Dibenzo-18-crown-6 modified CPE was used for the determination of paracetamol in both samples yielding 97–98% compared with the paracetamol composition on its labels.