bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of nuclear grade-based recurrence risk classification in patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative, node-positive high-risk early breast cancer
Authors: Murata Takeshi , Yoshida Masayuki , Shiino Sho , Watase Chikashi , Ogawa Ayumi , Shikata Shohei , Hashiguchi Hiromi , Yoshii Yukiko , Sugino Hirokazu , Jimbo Kenjiro , Maeshima Akiko , Iwamoto Eriko , Takayama Shin , Suto Akihiko 
Published: August 2023

Abstract
Background
Histological grade (HG) has been used in the MonrachE trial to select patients with hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative, node-positive high-risk early breast cancer (EBC). Although nuclear grade (NG) is widely used in Japan, it is still unclear whether replacing HG with NG can appropriately select high-risk patients.

Methods
We retrospectively reviewed 647 patients with HR-positive, HER2-negative, node-positive EBC and classified them into the following four groups: group 1: ≥ 4 positive axillary lymph nodes (pALNs) or 1–3 pALNs and either grade 3 of both grading systems or tumors ≥ 5 cm; group 2: 1–3 pALNs, grade < 3, tumor < 5 cm, and Ki-67 ≥ 20%; group 3: 1–3 pALNs, grade < 3, tumor < 5 cm, and Ki-67 < 20%; and group 4: group 2 or 3 by HG classification but group 1 by NG classification. We compared invasive disease-free survival (IDFS) and distant relapse-free survival (DRFS) among the four groups using the Kaplan–Meier method with the log-rank test.

Results
Group 1 had a significantly worse 5-year IDFS and DRFS than groups 2 and 3 (IDFS 80.8% vs. 89.5%, P = 0.0319, 80.8% vs. 95.5%, P = 0.002; DRFS 85.2% vs. 95.3%, P = 0.0025, 85.2% vs. 98.4%, P < 0.001, respectively). Group 4 also had a significantly worse 5-year IDFS (78.0%) and DRFS (83.6%) than groups 2 and 3.

Conclusions
NG was useful for stratifying the risk of recurrence in patients with HR-positive, HER2-negative, node-positive EBC and was the appropriate risk assessment for patient groups not considered high-risk by HG classification.
Probe-based confocal laser endomicroscopy for real-time evaluation of colorectal liver metastasis in resected surgical specimens
Authors: Takao Mikiya , Kawaguchi Yoshikuni , Matsumura Masaru , Kazami Yusuke , Tanimoto Meguri , Abe Satoru , Maki Harufumi , Ishizawa Takeaki , Arita Junichi , Akamatsu Nobuhisa , Kaneko Junichi , Kokudo Norihiro , Hasegawa Kiyoshi 
Published: August 2023

AbstractProbe-based confocal laser endomicroscopy (pCLE) enables real-time examination of tissue structure. This study investigated pCLE with or without fluorescein sodium for the intraoperative diagnosis of colorectal liver metastasis (CLM) and detection of surgical margins. Thirty-four specimens of CLM and adjacent noncancerous tissue were obtained from 21 patients and examined by pCLE between May 2017 and March 2018. Images were obtained both without and with fluorescein sodium applied to the cut surface and compared with hematoxylin and eosin-stained tissue. Fluorescence intensity (FI) was measured by luminance-analysis software. Without external fluorophores, pCLE visualized 91.2% of CLM tissues as an irregular structure with low autofluorescence and 90.5% of noncancerous liver tissues as a regular structure with high autofluorescence. The median FI was significantly lower in cancer than in benign tissue in patients without chemotherapy [70.4 (51.6–110) vs. 48.3 (39.0–59.4), p = 0.002] and with chemotherapy [67.9 (54.6–89.2) vs. 48.6 (28.8–82.1), p < 0.001]. The border was clearly visible; pCLE with fluorescein sodium clearly showed their morphologies. In summary, our study demonstrated real-time pCLE distinguished CLM and noncancerous tissue by differences in structure and FI regardless of prehepatectomy chemotherapy. Fluorescein spray facilitated clear visualization of differences in the morphology.
New Concepts in Steroid Glaucoma
Authors: Levin A. M. , Sieck E. G. 
Published: August 2023

Abstract
Purpose of Review
In this article, we discuss the pathophysiology underlying intraocular pressure elevation associated with corticosteroid use as well as targeted therapies for treatment.

Recent Findings
Several signaling pathways at the level of the trabecular meshwork are altered by steroid exposure. A pre-existing diagnosis of glaucoma is the best-established risk factor for development of steroid-associated ocular hypertension. Topical, local, and systemic steroids have all been associated with ocular hypertension.

Summary
Current management is directed at steroid-sparing alternatives to treatment, steroid cessation, IOP-lowering medications, and interventional lasers and surgery.
Removal of organic micropollutants from water by adsorption on thermo-plasma expanded graphite encapsulated into calcium alginate
Authors: Cuccarese Marco , Van Hulle Stijn W. H. , Mancini Ignazio M. , Masi Salvatore , Caniani Donatella 
Published: August 2023

AbstractNowadays, public concern is focused on the degradation of water quality. For this reason, the development of innovative technologies for water treatment in view of (micro)pollutant removal is important. Indeed, organic (micro)pollutants, such as pharmaceuticals, herbicides, pesticides and plasticizers at concentration levels of μg L−1 or even ng L−1 are hardly removed during conventional wastewater treatment. In view of this, thermo-plasma expanded graphite, a light-weight innovative material in the form of a powder, was encapsulated into calcium alginate to obtain a granular form useful as filtration and adsorption material for removal of different pollutants. The produced material was used to remove atrazine, bisphenol-A, 17-α-ethinylestradiol and carbamazepine (at concentration levels of 125, 250 and 500 µg L−1) by top-down filtration. The effect of flow rate, bed depth and adsorbent composition was evaluated based on breakthrough curves. The experimental data was analysed with the Adams-Bohart model in view of scale-up. Under optimal conditions, removal and adsorption capacity of respectively about 21%, 21%, 38%,42%, 43 µg g−1, 44 µg g−1, 37 µg g−1 and 87 µg g−1 were obtained for atrazine, bisphenol, 17-α ethinylestradiol and carbamazepine when using 0.12 g of thermo-plasma expanded graphite to treat 200 mL at 500 µg L−1 (for each compound) of solution obtaining at contact time of 20 min. The granular form of TPEG obtained (GTPEG) by entrapping in calcium alginate results to have a good adsorbent property for the removal of carbamazepine, atrazine, bisphenol A and 17-α ethinylestradiol from water at concentration levels between 250 and 500 μg L−1. Promising results confirm the adsorbent properties of TPEG and push-up us to investigate on its application and improve of its performance by evaluating different entrapping materials.
Using Mindfulness to Improve Quality of Life in Caregivers of Individuals with Intellectual Disabilities and Autism Spectrum Disorder: Agency Outcomes for Caregivers and Clients
Authors: Singh Nirbhay N. , Lancioni Giulio E. , Hwang Yoon-Suk , Myers Rachel E. , Townshend Kishani , Medvedev Oleg N. 
Published: August 2023

Abstract
Objectives
Research suggests that the quality of life of professional caregivers of individuals with intellectual disabilities and autism spectrum disorder can be enhanced through mindfulness-based training. The effects of such training have been evidenced in terms of perceived psychological stress, compassion satisfaction, compassion fatigue (i.e., burnout, secondary traumatic stress), and symptoms of depression. In addition to changes in caregiver personal outcomes, mindfulness-based training may have effects on the quality assurance variables of the agency that employs these caregivers. The aim of the present study was to examine the changes from a systems perspective in terms of quality assurance variables related to caregivers and clients in community-based group homes.

Methods
Professional caregivers (n = 216) were randomized into three experimental conditions based on the training they received: mindfulness, psychoeducation, or inservice training-as-usual (control). The effects of the training were assessed in terms of quality assurance indices pertaining to caregivers (progressive discipline, call-ins, days absent, medical referrals, hospitalizations, and caregiver turnover) and clients (learning objectives, behavioral episodes, use of physical restraints, emergency medications [stat], medical emergencies, hospitalizations, aggression to staff, aggression to peers, and level of supervision).

Results
Overall, caregivers in the mindfulness group exhibited significantly fewer progressive discipline and call-ins when compared to the psychoeducation and control groups. Caregivers in both the mindfulness and psychoeducation groups exhibited significantly fewer days of absence from work, medical referrals, and caregiver turnover when compared to the control group. There was no difference across the three groups in terms of hospitalizations. Clients under the care of mindfulness-trained caregivers showed significantly greater improvement in completing learning objectives, fewer behavioral episodes, reduced need for physical restraints and stat medication for behavioral episodes, fewer episodes of aggression to peers, and lower levels of supervision when compared to those in the psychoeducation and control groups. Clients did equally well in terms of medical emergencies, hospitalizations, and aggression to staff in the mindfulness and psychoeducation groups when compared to those in the control group.

Conclusions
Differential effects of mindfulness training, psychoeducation, and inservice training-as-usual were evident in quality assurance variables related to caregivers and clients. The results suggest that training caregivers in different approaches to self-care may differentially affect not only their clinical status but also at a systems level in terms of quality assurance indices.
Effect of (Co and Zn) doping on structural, characterization and the heavy metal removal efficiency of CuFe2O4 nanoparticles
Authors: Ramadan Rania , El-Masry Mai M. 
Published: August 2023

AbstractNanomaterials, especially ferrites, have various applications in mechanical, electrical, and optical fields. However, their abilities in environmental applications remain unexplored. In this work, the flash auto-combustion method has been used to prepare three different compositions of CuFe2O4, Zn-CuFe2O4, and Co-CuFe2O4 nanocomposite. The structure, spectroscopic, surface, and morphological properties of the prepared samples were characterized using XRD, FTIR, BET, and HRTEM, respectively. According to XRD analysis, the prepared ferrites consist of nanocrystalline particles with sizes of 24.5, 37.5, and 32.6 for CuFe2O4, Zn-CuFe2O4, and Co-CuFe2O4, respectively. Zn-CuFe2O4 and Co-CuFe2O4 had a single cubic phase, while a tetragonal phase was formed in CuFe2O4. The addition of cobalt and zinc to copper ferrite increased the crystallite size and the lattice parameters. The absorption band in FTIR spectra, which represents the stretching vibrations along the [MetalO] bond at the octahedral (B) position, was nearly constant (412 Cm−1) by the addition of Zn to CuFe2O4. The surface area and quantity of gas adsorbed on the surface of Co-CuFe2O4 were the highest. The greatest force constants [(Ko = 1.37 & KT = 1.32 105 dyne/cm] were detected in Zn-CuFe2O4. Co-CuFe2O4 exhibited the highest saturation magnetization as well as magnetocrystalline anisotropy. From FESM, the particles have a homogeneous distribution, which is confirmed by the appropriate synthesis method. The nanonanosamples had an average particle size of 79 nm, 66 nm, and 56 nm for CuFe2O4, Co-CuFe2O4, and Zn-CuFe2O4, respectively. The surface area and quantity of gas adsorbed on the sample surface were increased by doping Cu ferrite with Co and Zn. All the prepared samples were tested for heavy metal (Cr6+) removal from the water; they demonstrated promising results after optimizing the experimental conditions at pH 7 and contact time 50 min, and these values reached 54%, 90%, and 93% for CuFe2O4, Zn-CuFe2O4, and Co-CuFe2O4 nanocomposite, respectively.
Three Reasons to Forego Trigger Warnings
Authors: Sanson Mevagh 
Published: August 2023

AbstractTrigger warnings—alerts advising people about the negative nature of the material to follow and possible adverse reactions to it—are now commonplace. But their use on campuses remains controversial. A growing body of work on the effects of trigger warnings, including the work by Kimble and colleagues (Human Arenas, 2023), suggests that students do not need trigger warnings and demonstrates at least three ways in which trigger warnings do not have their intended effects. First, people rarely use the warnings to avoid negative material. Second, people report the same degree of distress about negative material whether or not they received a warning. Third, the warnings by themselves can lead people to feel distressed. In other words, trigger warnings are not merely unhelpful; they are harmful in ways not intended. For these three reasons, college instructors should forego the use of trigger warnings.
DAEMON: A Domain-Based Monitoring Ontology for IoT Systems
Authors: Daoudagh Said , Marchetti Eda , Calabrò Antonello , Ferrada Filipa , Oliveira Ana Inês , Barata José , Peres Ricardo , Marques Francisco 
Published: August 2023

AbstractInternet of Things (IoT) is an emerging technology used in several contexts and domains. The work aims to define a technological reference solution specifically conceived for monitoring and assessing the behavior of IoT systems from the cybersecurity perspective when a new device or component joins the system. We leverage semantic web technologies, such as ontologies, for defining DAEMON, a domain-based ontology that formally models monitoring, IoT, and System of Systems (SoS) domains’ knowledge. We also propose a supporting architecture and describe the proof-of-concept implementing different components. We have validated and showcased our proposal by instantiating DAEMON into a multi-robot autonomous navigation scenario applied to the intralogistics domain.
A brief introductory review to deep generative models for civil structural health monitoring
Authors: Luleci Furkan , Catbas F. Necati 
Published: August 2023

AbstractThe use of deep generative models (DGMs) such as variational autoencoders, autoregressive models, flow-based models, energy-based models, generative adversarial networks, and diffusion models has been advantageous in various disciplines due to their high data generative skills. Using DGMs has become one of the most trending research topics in Artificial Intelligence in recent years. On the other hand, the research and development endeavors in the civil structural health monitoring (SHM) area have also been very progressive owing to the increasing use of Machine Learning techniques. As such, some of the DGMs have also been used in the civil SHM field lately. This short review communication paper aims to assist researchers in the civil SHM field in understanding the fundamentals of DGMs and, consequently, to help initiate their use for current and possible future engineering applications. On this basis, this study briefly introduces the concept and mechanism of different DGMs in a comparative fashion. While preparing this short review communication, it was observed that some DGMs had not been utilized or exploited fully in the SHM area. Accordingly, some representative studies presented in the civil SHM field that use DGMs are briefly overviewed. The study also presents a short comparative discussion on DGMs, their link to the SHM, and research directions.
Investigating the Effectiveness of Online Bioarchaeology Education through Participant Survey of a Cohort of International Adult Learners
Authors: Ward Stacey M. , Barker Anna-Claire L. , Shoocongdej Rasmi , Wangthongchaicharoen Naruphol , Miszkiewicz Justyna J. , King Charlotte L. , Halcrow Siân E. 
Published: August 2023

AbstractThe COVID-19 pandemic triggered the adoption of online education across all sectors worldwide, which was particularly challenging for disciplines that rely on hands-on learning such as bioarchaeology. Although the impacts of this rapid transition have been well investigated in fields such as anatomy and forensic anthropology, there has been little research into its effects within bioarchaeology. We address this deficit by investigating two common perceptions around online learning from a bioarchaeological perspective: (1) online techniques are inadequate for teaching practical skills, and (2) online learning environments lack a sense of community, thereby negatively affecting learner experiences. To gauge learner perceptions around online practical education in this field, we conducted a qualitative survey of participants in a bioarchaeology masterclass series. Results suggest that students perceive online learning to be as effective for practical training as in-person alternatives and that online learning may engender a sense of community when offered using a collaborative, interactive approach. Based on our results we provide several key recommendations for online education in bioarchaeology, including an active emphasis on social engagement and relationship building, culturally appropriate teaching, and the use of resources to encourage flexibility in learning. A Thai-language abstract is available as Supplemental Text 1.
The aerodynamic force estimation of a swept-wing UAV using ANFIS based on metaheuristic algorithms
Authors: Uzun M. , Bilgic H.H. , Çopur E.H. , Çoban S. 
Published: August 2023

AbstractIn this paper, a new approach to modeling and controlling the problems associated with a morphing unmanned aerial vehicle (UAV) is proposed. Within the scope of the study, a dataset was created by obtaining a wide range of aerodynamic parameters for the UAV with Ansys Fluent under variable conditions using the computational fluid dynamics approach. For this, a large dataset was created that considered 5 different angles of attack, 14 different swept angles, and 5 different velocities. While creating the dataset, the analyses were verified by considering studies that have been experimentally validated in the literature. Then, an artificial intelligence-based model was created using the dataset obtained. Metaheuristic algorithms such as the artificial bee colony algorithm, ant colony algorithm and genetic algorithms are used to increase the modeling success of the adaptive neuro-fuzzy inference system (ANFIS) approach. A novel modeling approach is proposed that constitutes a new decision support system for real-time flight. According to the results obtained, all the ANFIS models based on metaheuristic algorithms were more successful than the traditional approach, the multilinear regression model. The swept angle that meets the minimum lift needed by the UAV for different flight conditions was estimated with the help of the designed decision support system. Thus, the drag force is minimised while obtaining the required lift force. The performance of the UAV was compared with the nonmorphing configuration, and the results are presented in tables and graphs.
Psychotherapy for adult depression in low- and middle-income countries: an updated systematic review and meta-analysis
Authors: Tong Lingyao , Miguel Clara , Panagiotopoulou Olga-Maria , Karyotaki Eirini , Cuijpers Pim 
Published: August 2023

AbstractPrevious meta-analyses on psychotherapy for adult depression have found a larger treatment effect in non-Western trials compared to Western trials (i.e. North America, Europe, and Australia). However, factors contributing to this difference remain unclear. This study investigated different study characteristics between Western and non-Western trials and examined their association with effect size estimates. We systematically searched PubMed, PsycINFO, Embase, and Cochrane Library (01–09–2022). We included randomized-controlled trials (RCTs) that compared psychotherapy with a control condition. The validity of included RCTs was assessed by the Cochrane risk of bias assessment tool (RoB 1). Effect sizes were pooled using the random-effects model. Subgroup analyses and meta-regressions were also conducted. We identified 405 eligible trials, among which 105 trials (117 comparisons, 16 304 participants) were from non-Western countries. We confirmed that non-Western trials had a larger treatment effect (g = 1.10, 95% CI 0.90–1.31) than Western trials (g = 0.57, 95% CI 0.52–0.62). Trials from non-Western countries also had more usual care controls, higher risk of bias, larger sample sizes, lower mean ages, younger adults, more group-based interventions, and other recruitment methods (e.g. systematic screening; p < 0.05). The larger effect sizes found in non-Western trials were related to the presence of wait-list controls, high risk of bias, cognitive-behavioral therapy, and clinician-diagnosed depression (p < 0.05). The larger treatment effects observed in non-Western trials may result from the high heterogeneous study design and relatively low validity. Further research on long-term effects, adolescent groups, and individual-level data are still needed.
Temperature and convictions: evidence from India
Authors: Craigie Terry-Ann , Taraz Vis , Zapryanova Mariyana 
Published: August 2023

AbstractHigh temperatures have been shown to affect human cognition and decision-making in a variety of settings. In this paper, we explore the extent to which higher temperatures affect judicial decision-making in India. We use data on judicial decisions from the Indian eCourt platform, merged with high-resolution gridded daily weather data. We estimate causal effects by leveraging a fixed effects framework. We find that high daily maximum temperatures raise the likelihood of convictions and these results are robust to numerous controls and specifications. Our findings contribute to a growing literature that documents that the negative impacts of rising temperatures are often more severe in low- and middle-income countries.
M6A-mediated-upregulation of lncRNA BLACAT3 promotes bladder cancer angiogenesis and hematogenous metastasis through YBX3 nuclear shuttling and enhancing NCF2 transcription
Authors: Xie Jinbo , Zhang Hui , Wang Keyi , Ni Jinliang , Ma Xiaoying , Khoury Christopher J. , Prifti Viktor , Hoard Brock , Cerenzia Eric G. , Yin Lei , Zhang Houliang , Wang Ruiliang , Zhuo Dong , Mao Weipu , Peng Bo 
Published: August 2023

AbstractLymphatic metastasis is recognized as the leading manner of metastasis in bladder cancer (BLCa), but hematogenous metastasis accounts for a majority of cancer-associated deaths. The past two decades have witnessed tremendous attention in long non-coding RNAs (lncRNAs), which are a new hope for the development of targeted drug therapy for metastatic cancers; however, the underlying mechanism of lncRNAs involved in BLCa hematogenous metastasis remains to be elucidated. Here, we identified BLCa-associated transcript 3 (BLACAT3), a lncRNA, which was aberrantly upregulated in BLCa and corelated with poor prognosis of patients with muscle-invasive bladder cancer. Methodologically, m6A epitranscriptomic microarray, RNA sequencing and mass spectrometry (MS) were used to screen the key molecules of the regulatory axis. Functional assays, animal models and clinical samples were used to explore the roles of BLACAT3 in BLCa in vitro and in vivo. Mechanistically, m6A modification contributes to BLACAT3 upregulation by stabilizing RNA structure. BLACAT3 recruits YBX3 to shuttle into the nucleus, synergistically enhances NCF2 transcription, and promotes BLCa angiogenesis and hematogenous metastasis by activating downstream NF-κB signaling. Our findings will develop prognosis prediction tools for BLCa patients and discover novel therapeutic biological targets for metastatic BLCa.