bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Bilastine on Symptoms of Allergic Rhinitis and Chronic Urticaria: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Abdelshafy Aliaa M. , Abdallah Sara Y. , Hassan Ahmed F. , Mohamed Hazem A. , Kamal Nourhan M. , Ali Sohila T. , Abdelhaleem Ibrahim A. 
Published: May 2022

Background Allergic diseases are immunological exaggerations with symptoms that may interfere with life quality. Bilastine, a novel oral second-generation H-1 antihistamine, is highly selective to H-1 receptors and has anti inflammatory properties. The present evidence regarding the drug efficacy is inconsistent. Objectives We aimed to evaluate the efficacy and safety of bilastine compared with the placebo and other active antihistamines in patients who complained either from AR or chronic urticaria. Methods We systematically searched the Medline, Scopus, Web of Science, and Cochrane databases for randomized controlled trials (RCTs) evaluating bilastine effects on symptomatic hyper histaminic allergic conditions. We collected data on total symptoms scores (TSS), total nasal symptom scores (TNSS), discomfort associated with these allergic conditions measured by visual analog score (VAS), and quality of life (QOL) for AR and urticaria. Other outcomes such as clinical global impression and safety profiles were reported as well. We pooled the studies in a random effect model using RevMan 5.4 software. Results We included 9 RCTs comprising 3801 participants. The meta-analysis revealed that bilastine was superior to placebo, improving TSS, TNSS, VAS, and QOL in AR or chronic urticaria participants. Moreover, the bilastine was comparable to active antihistamines such as cetirizine, fexofenadine, and loratadine regarding mentioned outcomes. In addition, the novel drug was safe and tolerable with no difference in the incidence of adverse events with a placebo. Conclusions Bilastine safely improved TSS in hyper histaminic allergic conditions involving nasal symptoms in AR. It decreases the discomfort associated with the disease resulting in improving the QOL of the participants.
Photovoltaic concentrator potential and its inactivation rate of indicator microorganism in point of use water treatment system
Authors: Lamore Yonas , Alemu Simegn 
Published: May 2022

Objective: Unsafe drinking water has a significant health impact all over the world especially, in developing countries. Household water treatments become more affordable than conventional ones for many reasons. Photovoltaic concentrator is environmentally sound and effective inactivation method by converting light energy to electricity. This study aimed to assess the inactivation potential of photovoltaic concentrator on drinking water quality indicator microorganisms at different solar exposure times. Methods: A laboratory-based experimental study was conducted at Jimma University’s environmental microbiology laboratory to measure the disinfection potential of the photovoltaic concentrator for months in uneven weather conditions. A membrane filtration, a pour plate count method, and a calibrated clear sky calculator were used. Results: Among indicator microorganisms, Escherichia coli was completely inactivated (standard deviation = 11.3°C, R2 = 0.80) at 2 h of solar exposure whereas heterotrophic plate count was measured as (SD = 12.2°C, R2 = 0.82) at 35°C for 48 h in the sample that contains 2.81 NTU. Conclusion: Based on the findings, photovoltaic concentrator was one of the most effective inactivation technologies for E. coli and total coliform.
Factors associated with eHealth literacy focusing on digital literacy components: A cross-sectional study of middle-aged adults in South Korea
Authors: Lee Jaegyeong , Tak Sunghee H 
Published: May 2022

Background Digital technology has dramatically changed the world in which we live, and the ability to access and understand information through these new technologies is becoming increasingly important. eHealth literacy is closely related to digital literacy, and some concepts may overlap to a certain extent. Identifying personal and digital-related factors related to eHealth literacy levels in middle-aged adults would be useful for planning tailored interventions and health promotion strategies. Objective We aimed to identify the differences in digital literacy and eHealth literacy levels according to demographic features, and to elucidate the factors associated with eHealth literacy in the middle-aged population. Methods We conducted a cross-sectional, observational study from 4th to 8th February 2021. A total of 320 South Korean participants aged 40–64 years were recruited and completed an online questionnaire, where demographic features, chronic disease status, frequency of Internet use, digital skills, digital competence, and eHealth literacy were measured. eHealth literacy was measured with the eHEALS. We used multiple regression analysis to elucidate the factors associated with eHealth literacy. Results Multiple regression analysis revealed that digital competence was the highest contributor to an individual's eHealth literacy ( β = 0.330, P < 0.001), while digital skills was not significantly associated with eHealth literacy ( β = 0.086, P = 0.267). In addition, eHealth literacy was positively associated with increasing age ( β = 0.258, P < 0.001), female gender ( β = −0.118, P = 0.022), and higher education levels ( β = 0.114, P = 0.041), while marital state, chronic disease, and frequency of internet use were not significantly associated with eHealth literacy. Conclusions Our study provides valuable information on digital literacy and eHealth literacy in middle-aged adults and may be used to guide tailored interventions for improving eHealth literacy. Future studies should consider the differences in digital literacy levels across generations when assessing eHealth literacy or planning digital health interventions.
Lifestyle and Its Effective Factors in Nurses with Covid-19
Authors: Shamsi Afzal , Jaladati Mansureh , Ghaderi Musab 
Published: May 2022

Introduction & Objective Lifestyle is one of the most important factors affecting health. Nurses, as health promoters, are at the forefront of the fight against Covid-19 disease; thus, they are at risk of the disease and its subsequent problems. The present study aimed to determine the lifestyle and influential factors among nurses with Covid-19. Methods This is a cross-sectional study performed on 250 nurses with Covid-19, working in hospitals affiliated with Tehran University of Medical Sciences in 2021. Samples were first selected by multi-stage random sampling method. Then, they were classified into clusters using purposive sampling method based on inclusion criteria. The data were collected using a demographic questionnaire and a cross-culturally adapted nurses’ lifestyle questionnaire. Then, the data analysis was performed using descriptive and inferential statistical tests in SPSS ver. 25. Eventually, p-value < .05 was considered as the significant level. Results The mean score of nurses’ lifestyle was 4.06 ± 0.39. The highest scores of lifestyle subscales include competency (4.69 ± 0.30), systematic interactions (4.66 ± 0.35), responsibility (4.086 ± 0.55), role management and work system (3.68 ± 0.52), management of individual life (3.49 ± 0.68), and interactions (3.34 ± 0.44), respectively. The findings of the linear regression statistical test showed that sex, marriage, work shift, and work experience have significant predictive power for the overall lifestyle, respectively. Conclusion Nurses with Covid-19have an acceptable lifestyle level. Factors such as sex, marriage, shift work, and work experience affect the lifestyle of nurses with Covid-19. Accordingly, planning is necessary to improve the lifestyle of nurses and the factors affecting it during the Covid-19 pandemic.
Nephrological management of renal cell carcinoma (RCC) patients: A narrative review
Authors: Pirovano Marta , Cosmai Laura 
Published: May 2022

Renal Cell Carcinoma (RCC) is the most frequent malignancy encountered in general nephrology practice; when kidney disease develops in the setting of RCC, it may limit long-term outcomes, patients often dying of a non-cancer-related complication of kidney disease. There is a reciprocal relationship between renal cancer and kidney; chronic kidney disease can increase the risk of developing kidney cancer, and patients with RCC often experience renal impairment owing to pre-existing chronic kidney disease (CKD), hypertension (HTN), diabetes mellitus (DM), and/or other medically challenging comorbidities, or risk factors for CKD. Nephrologists should be involved in all aspects of RCC patients’ care, from pre-nephrectomy evaluation, to management of post-nephrectomy CKD, through the recognition and management of anticancer drugs-related kidney toxicity. This collaborative approach to RCC care will further improve the clinical outcomes of kidney cancer patients.
Feminism of Charal
Authors: Choudhury Sutadripa Dutta 
Published: May 2022

My article intends to focus on the prevalent silent predilection for mainstream feminism. Dalit feminism perpetrates through discrimination on the caste, class and gender struggle, whereas mainstream feminism has portrayed the struggle that centres around those who are higher in the caste hierarchy. Mainstream feminism has not yet delved into the struggle of those who are striving to raise their voice against the ‘triple monster’ as is coined by Bama in an interview. The triple monster here connotes caste, class and gender bias. My article will read the struggle of women Bangla Dalit writers who are suppressed and oppressed by this ‘triple Monster’. My primary text includes Chandalinir Kabita and Chandalini Bhone by Kalyani Thakur Charal. The article will also read Ami Kano Charal Likhi. Along with these, my article will bring in the contrast of women Dalit writers from another state, for instance, Bama from Tamil Nadu and Urmila Pawar from Maharashtra. The conflict lies here in the fact that the women Bangla Dalit writers in Bengal are subjugated extensively. The article will confront the struggle of Dalit feminism in a world where mainstream feminism reigns and rules securely. Against feminism, Kalyani Thakur Charal asserts that she prefers the term womanism more since womanism has penetrated through those layers that are not yet being evaded by mainstream feminism. Thereby, the article will bring in the concept of Dalit womanism along with the aforementioned statements.
The Effect of Laser Ablation Pulse Width and Feed Speed on Necrosis and Surface Damage of Cortical Bone
Authors: Robles-Linares Jose A. , Winter Kieran , Liao Zhirong 
Published: May 2022

AbstractBone cutting is of importance in orthopaedic surgery but is also challenging due to its nature of brittleness—where severe mechanical and thermal damages can be introduced easily in conventional machining. Laser machining is a new technology that can allow for complex cut geometries whilst minimising surface defects i.e., smearing, which occur in mechanical methods. However, comparative studies on the influence of lasers with different pulse characteristics on necrotic damage and surface integrity have not been reported yet. This paper for the first time investigates the effects of laser type on the necrotic damage and surface integrity in fresh bovine cortical bone after ex-situ laser machining. Three lasers of different pulse widths, i.e., picosecond, nanosecond and continuous wave lasers have been investigated with different feed speeds tested to study the machining efficiency. The cutting temperature, and geometrical outputs have been measured to investigate the thermal influence on the cooling behaviour of the bone samples while high-speed imaging was used to compare the material removal mechanisms between a pulsed and continuous wave laser. Furthermore, an in-depth histological analysis of the subsurface has revealed that the nanosecond laser caused the largest necrotic depth, owing to the high pulse frequency limiting the dissipation of heat. It has also been observed that surface cracks positioned perpendicular to the trench direction were produced after machining by the picosecond laser, indicative of the photomechanical effect induced by plasma explosions. Therefore, the choice of laser type (i.e., in terms of its pulse width and frequency) needs to be critically considered for appropriate application during laser osteotomy with minimum damage and improved healing.
Gene expression data classification using topology and machine learning models
Authors: Dey Tamal K. , Mandal Sayan , Mukherjee Soham 
Published: May 2022

Abstract
Background
Interpretation of high-throughput gene expression data continues to require mathematical tools in data analysis that recognizes the shape of the data in high dimensions. Topological data analysis (TDA) has recently been successful in extracting robust features in several applications dealing with high dimensional constructs. In this work, we utilize some recent developments in TDA to curate gene expression data. Our work differs from the predecessors in two aspects: (1) Traditional TDA pipelines use topological signatures called barcodes to enhance feature vectors which are used for classification. In contrast, this work involves curating relevant features to obtain somewhat better representatives with the help of TDA. This representatives of the entire data facilitates better comprehension of the phenotype labels. (2) Most of the earlier works employ barcodes obtained using topological summaries as fingerprints for the data. Even though they are stable signatures, there exists no direct mapping between the data and said barcodes.

Results
The topology relevant curated data that we obtain provides an improvement in shallow learning as well as deep learning based supervised classifications. We further show that the representative cycles we compute have an unsupervised inclination towards phenotype labels. This work thus shows that topological signatures are able to comprehend gene expression levels and classify cohorts accordingly.

Conclusions
In this work, we engender representative persistent cycles to discern the gene expression data. These cycles allow us to directly procure genes entailed in similar processes.
Transcriptomics and metagenomics of common cutworm (Spodoptera litura) and fall armyworm (Spodoptera frugiperda) demonstrate differences in detoxification and development
Authors: Tang Ruixiang , Liu Fangyuan , Lan Yue , Wang Jiao , Wang Lei , Li Jing , Liu Xu , Fan Zhenxin , Guo Tao , Yue Bisong 
Published: May 2022

Abstract
Background
Spodoptera litura is an important polyphagous pest that causes significant damage to the agricultural sector. We performed RNA-seq of 15 S. litura individuals from larval (fifth and sixth instar larvae), chrysalis, and adult developmental stages. We also compared the S. litura transcriptome data with Spodoptera frugiperda across the same developmental stages, which was sequenced in our previous study.

Results
A total of 101,885 differentially expressed transcripts (DETs) were identified in S. litura. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses indicated that S. litura may undergo active xenobiotic and detoxifying metabolism during its larval and adult stages, which may explain difficulties with current population control measures. We also found that DETs of single-copy orthologous genes between S. litura and S. frugiperda were involved in basic metabolism and development. However, energy and metabolic processes genes had a higher expression in S. litura, whereas nervous and olfactory function genes had a higher expression in S. frugiperda. Metagenomics analysis in larval S. litura and S. frugiperda revealed that microbiota participate in the detoxification and metabolism processes, but the relative abundance of detoxification-related microbiota was more abundant in S. frugiperda. Transcriptome results also confirmed the detoxification-related pathway of S. frugiperda was more abundant than in S. litura.

Conclusions
Significant changes at transcriptional level were identified during the different development stages of S. litura. Importantly, we also identified detoxification associated genes and gut microbiota between S. litura and S. frugiperda at different developmental stages, which will be valuable in revealing possible mechanisms of detoxification and development in these two lepidopterans.
The OmpA of commensal Escherichia coli of CRC patients affects apoptosis of the HCT116 colon cancer cell line
Authors: Mirzarazi Mahsa , Bashiri Soroor , Hashemi Ali , Vahidi Mahmoud , Kazemi Bahram , Bandehpour Mojgan 
Published: May 2022

Abstract
Background
Colorectal cancer ranks third globally among all types of cancers. Dysbiosis of the gut microbiota of people with CRC is one of the effective agents in the tumorigenesis and metastasis in this type of cancer. The population of Escherichia coli strains, a component of gut microbiota, is increased in the gut of people with CRC compared with healthy people. So, E.coli strains isolated from these patients may have a role in tumorigenesis. Because the most isolated strains belong to the B2 phylogenuetic group, there seems to be a linkage between the bacterium components and malignancy.

Material and methods
In this study, the proteomic comparison between isolated Ecoli from CRC patients and healthy people was assayed. The isolated spot was studied by Two-dimensional gel electrophoresis (2DE) and Liquid chromatography-mass spectrometry (LC–MS). The results showed that the expression of Outer membrane protein A (OmpA) protein increased in the commensal E.coli B2 phylogenetic group isolated from CRC patients. Additionally, we analyzed the effect of the OmpA protein on the expression of the four genes related to apoptosis in the HCT116 colon cancer cell line.

Results
This study identified that OmpA protein was overexpressed in the commensal E.coli B2 phylogenetic group isolated from CRC patients compared to the E.coli from the control group. This protein significantly decreased the expression of Bax and Bak, pro-apoptotic genes, as well as the expression of P53 in the HCT116 Cell Line, P < 0.0001. LC–MS and protein bioinformatics results confirmed that this protein is outer membrane protein A, which can bind to nucleic acid and some of the organelle proteins on the eukaryotic cell surface.

Conclusions
According to our invitro and insilico investigations, OmpA of gut E.coli strains that belong to the B2 phylogenetic group can affect the eukaryotic cell cycle.
Associations between IL-1α, IL-1β, TNFα, and IL-6 variations, and susceptibility to transposition of the great arteries
Authors: Atasoy Karakas Latife , Tugrul Duygu , Sahin Uysal Nihal , Esin Sertac , Tokel Niyazi Kursat , Terzi Yunus Kasim 
Published: May 2022

Abstract
Background
To evaluate the relationship between IL-1α -889C/T (rs1800587), IL-1β -511C > T (rs16944), TNFα -308G > A (rs1800629), TNFα -238G > A (rs361525), IL-6 -174G > C (rs1800795), and IL-6 -572G > C (rs1800796) polymorphisms and the susceptibility to transposition of the great arteries (TGA).

Methods
A prospective analysis was performed on mothers whose newborns were diagnosed as having TGA. For each case of TGA, a mother who gave birth to a healthy neonate in the same period was randomly selected for the control group. The sample size was calculated before planning the study with 80% power and 5% alpha.

Results
Twenty-seven mothers whose newborn had TGA anomalies (group 1) and 27 mothers whose newborn had no TGA (group 2) were included in the study. There were no significant differences between the groups in terms of maternal age, pregestational body mass index, gestational age at birth and infant sex (p > 0.05). The genotype and allele distributions of IL-1α -889C/T (rs1800587), IL-1β -511C > T (rs16944), TNFα -308G > A (rs1800629), TNFα -238G > A (rs361525), IL-6 -174G > C (rs1800795) and IL-6 -572G > C (rs1800796) gene variants were not different between the two groups (p > 0.05).

Conclusions
There was no relation between IL-1α, IL-1β, IL-6, and TNFα promoter gene polymorphisms and TGA occurrence in our study group.
Trial registration: This present prospective case–control study was conducted in Baskent University Hospital, Ankara, Turkey, between May 2020 and November 2021. Ethical approval was obtained from the university’s Clinical Research Ethics Commitee (No: KA20/211) in accordance with the Declaration of Helsinki.
Detecting accelerometer non-wear periods using change in acceleration combined with rate-of-change in temperature
Authors: Vert Adam , Weber Kyle S. , Thai Vanessa , Turner Erin , Beyer Kit B. , Cornish Benjamin F , Godkin F. Elizabeth , Wong Christopher , McIlroy William E. , Van Ooteghem Karen 
Published: May 2022

Abstract
Background
Accelerometery is commonly used to estimate physical activity, sleep, and sedentary behavior. In free-living conditions, periods of device removal (non-wear) can lead to misclassification of behavior with consequences for research outcomes and clinical decision making. Common methods for non-wear detection are limited by data transformations (e.g., activity counts) or algorithm parameters such as minimum durations or absolute temperature thresholds that risk over- or under-estimating non-wear time. This study aimed to advance non-wear detection methods by integrating a ‘rate-of-change’ criterion for temperature into a combined temperature-acceleration algorithm.

Methods
Data were from 39 participants with neurodegenerative disease (36% female; age: 45–83 years) who wore a tri-axial accelerometer (GENEActiv) on their wrist 24-h per day for 7-days as part of a multi-sensor protocol. The reference dataset was derived from visual inspection conducted by two expert analysts. Linear regression was used to establish temperature rate-of-change as a criterion for non-wear detection. A classification and regression tree (CART) decision tree classifier determined optimal parameters separately for non-wear start and end detection. Classifiers were trained using data from 15 participants (38.5%). Outputs from the CART analysis were supplemented based on edge cases and published parameters.

Results
The dataset included 186 non-wear periods (85.5% < 60 min). Temperature rate-of-change over the first five minutes of non-wear was − 0.40 ± 0.17 °C/minute and 0.36 ± 0.21 °C/minute for the first five minutes following device donning. Performance of the DETACH (DEvice Temperature and Accelerometer CHange) algorithm was improved compared to existing algorithms with recall of 0.942 (95% CI 0.883 to 1.0), precision of 0.942 (95% CI 0.844 to 1.0), F1-Score of 0.942 (95% CI 0.880 to 1.0) and accuracy of 0.996 (0.994–1.000).

Conclusion
The DETACH algorithm accurately detected non-wear intervals as short as five minutes; improving non-wear classification relative to current interval-based methods. Using temperature rate-of-change combined with acceleration results in a robust algorithm appropriate for use across different temperature ranges and settings. The ability to detect short non-wear periods is particularly relevant to free-living scenarios where brief but frequent removals occur, and for clinical application where misclassification of behavior may have important implications for healthcare decision-making.