bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and Cytotoxic Activity Evaluation of Novel Imidazopyridine Carbohydrazide Derivatives
Authors: Firouzi Maryam , Haghighijoo Zahra , Eskandari Masoomeh , Mohabbati Maryam , Miri Ramin , Jamei Mohamad Hassan , Firuzi Omidreza , Khoshneviszadeh Mehdi , Edraki Najmeh 
Published: September 2022

Abstract
Two series of novel imidazo[1,2-a]pyridine-2-carbohydrazide derivatives have been designed, synthesized and evaluated for cytotoxic activity. Target compounds were designed in two series: aryl hydrazone derivatives that were devoid of triazole moiety (7a-e) and aryl triazole group (11a-e). In vitro cytotoxicity screening was carried out using MTT assay against three human cancer cells including breast cancer (MCF-7), colon cancer (HT-29) and leukemia (K562) cell lines. Compound 7d bearing 4-bromophenyl pendant from aryl hyrazone series exhibited the highest cytotoxic potential with IC50 values of 22.6 µM and 13.4 µM against MCF-7 and HT-29 cells, respectively. Cell cycle analysis revealed that 7d decreased the cells in the G2/M phase at 50 and 100 µM concentrations. Overall, 7d could serve as a suitable candidate for further modifications as a lead anticancer structure.
A first step towards a framework for interventions for Individual Working Practice to prevent work-related musculoskeletal disorders: a scoping review
Authors: de Wijdeven Bert van , Visser Bart , Daams Joost , Kuijer P. Paul F.M. 
Published: September 2022

Abstract
Background: Work-related musculoskeletal disorders (WMSDs) are a key topic in occupational health. In the primary prevention of these disorders, interventions to minimize exposure to work-related physical risk factors are widely advocated. Besides interventions aimed at the work organisation and the workplace, interventions are also aimed at the behaviour of workers, the so-called individual working practice (IWP). At the moment, no conceptual framework for interventions for IWP exists. This study is a first step towards such a framework.Methods: A scoping review was carried out starting with a systematic search in Ovid Medline, Ovid Embase, Ovid APA PsycInfo, and Web of Science. Intervention studies aimed at reducing exposure to physical ergonomic risk factors involving the worker were included. The content of these interventions for IWP was extracted and coded in order to arrive at distinguishing and overarching categories of these interventions for IWP. Results: More than 12.000 papers were found and 110 intervention studies were included, describing 810 topics for IWP. Eventually eight overarching categories of interventions for IWP were distinguished: 1. Workplace adjustment, 2. Variation, 3. Exercising, 4. Use of aids, 5. Professional skills, 6. Professional manners, 7. Task content & task organization and 8. Motoric skills.Conclusion: Eight categories of interventions for IWP are described in the literature. These categories are a starting point for developing and evaluating effective interventions performed by workers to prevent WMSDs. In order to reach consensus on these categories, an international expert consultation is a necessary next step.
Detection of Dysthyroid Optic Neuropathy by Optical Coherence Tomography
Authors: andrade alisson , FARIA THIAGO , MENEGHIM ROBERTA , Hashimoto Mitsuo , Jorge Edson , jorge eliane 
Published: September 2022

Abstract
Objectives: This study aimed to compare the measurements of the peripapillary nerve fiber layer (RNFL) thickness obtained by OCT in patients with TAO and healthy controls and to correlate these parameters with the severity of the orbital disease.Methods: The cross-sectional single-center study consisted of 74 patients (45 with TAO and 29 healthy controls). Patients with TAO underwent a complete ophthalmological examination and were divided according to the clinical activity score (CAS) and European Group Graves' Orbitopathy severity (EUGOGO) classification. Spectral-domain OCT assessed the measurements of the peripapillary RNFL. Results: There was no statistical difference between the groups regarding demographic characteristics and comorbidities (p>0.05%). According to CAS, 93.3% of patients with TAO were in the inactive phase. By the EUGOGO, 27% had mild TAO, 66% had moderate-to-severe, and 7% had very severe disease. The mean peripapillary RNFL thickness was thinnest in the temporal quadrant in the TAO group (p<0.05). There was a strong association between the severity of TAO and the reduction in peripapillary RNFL thickness (p<0.001), except in the nasal quadrant. Conclusion: These results suggest that OCT can be a valuable tool in detecting early changes in peripapillary RNFL in patients with TAO, even in the inactive phase when neuropathy is not yet clinically detectable. These parameters appear to be potential adjuncts in the follow-up of patients, especially when there is a risk of visual loss.
Being well? A meta-ethnography of older patients and their relatives' descriptions of suffering and well-being in the transition from hospital to home
Authors: Dragosits Aline , Martinsen Bente , Hemingway Ann , Norlyk Annelise 
Published: September 2022

Abstract
Background: As the average length of hospital stay decreases, more and more older patients will need support during and after the hospital transition, which will mainly be provided by their relatives. Studies highlight the enormous effect such a transition has on the lives of older patients and their relatives. However, research is lacking regarding in-depth understanding of the complexities and the notions of suffering and well-being the older patients and their relatives describe in the transition from hospital to home. Therefore, this study aims to examine the description of suffering and well-being on a deeper, existential level by drawing on existing phenomenological research. Methods: In order to synthesize and reinterpret primary findings, we used the seven-step method for meta-ethnography. Following specific inclusion criteria and focusing on empirical phenomenological studies about older patients and their relatives experiencing hospital to home transition, a systematic literature search was conducted. Data from ten studies have been analyzed.Results: Our analysis identified three intertwined themes: i) ‘Being excluded vs. being included in the transition process’, ii) ‘Being a team: a call for support and a call to support’ and iii) ‘Riding an emotional rollercoaster’. The last theme was unfolded by the two subthemes ‘Taking on the new role as a caregiver: oscillating between struggling and accepting’ and ‘Getting back to normal: oscillating between uncertainty and hope’. Within those themes, older patients and their relatives described rather similar than contradictory aspects. Conclusions: This study offers insights into the tension between existential suffering and well-being described by the older patients and their relatives during the transition from hospital to home. Especially, the description of well-being in all its nuances which, if achieved, enables older patients and their relatives to identify with the situation and to move forward, this process can then be supported by the health care professionals. However, there is still lack of knowledge with regards to a deeper understanding of existential well-being in this process. Given the increasing tendency towards early hospital discharges, the findings underpin the need to further investigate the experiences of well-being in this process.
Weighted Ordinal Connection based Functional Network Classification for Schizophrenia Disease Detection using EEG signal
Authors: Kose Mangesh , Ahirwal Mitul Kumar , Atulkar Mithilesh 
Published: September 2022

Abstract
A brain connectivity network (BCN) is an advanced approach for examining brain functionality in various conditions. However, the predictability of the BCN is affected by the connectivity measure used for the network construction. Various connectivity measures available in the literature differ according to the domain of their working data. The application of random connectivity measures might result in an inefficient BCN that ultimately hamper its predictability. Therefore, selecting an appropriate functional connectivity metric is crucial in clinical as well as cognitive neuroscience. In parallel to this, an effective network identifier plays a vital role in distinguishing different brain states. Hence, the objective of this paper is two-fold, which includes identifying suitable connectivity measures and proposing an efficient network identifier. For this, the weighted BCN (WBCN) is constructed using multiple connectivity measures like correlation coefficient (r), coherence (COH), phase-locking value (PLV), and mutual information (MI) from electroencephalogram (EEG) signals. The most recent technique for feature extraction, i.e., weighted ordinal connections, has been applied to EEG-based BCN. EEG signals data has been taken from the schizophrenia disease database. Further, several classification algorithms such as k-nearest neighbours (KNN), support vector machine (SVM) with linear, radial basis function and polynomial kernels, random forest (RF), and 1D convolutional neural network (CNN1D) are used to classify the brain states based on extracted features. In classification, 90% accuracy is achieved by the CNN1D classifier with WBCN based on the coherence connectivity measure. The study also provides the structural analysis of the BCN.
Response of Cardiac Pulse Parameters in Humans at Various Inclinations Using 360º Rotating Platform: from Simulated Microgravity Perspective
Authors: Vidyasagar Pandit , Jagtap Sagar , Kumar Ajay , Mahale Bhoopesh , Dixit Jyotsana , Kalange Ashok , Kanawade Rajesh , Gangal Shashikala 
Published: September 2022

Abstract
On Earth, human body is designed and adapted to operate under uniform gravitational acceleration, 9.8 m/s2 termed as 1 g. However, exposure to microgravity or weightlessness as experienced by astronauts causes significant alterations in the functioning of human cardiovascular system. Due to limitations in using real microgravity platforms, researchers opted for various ground-based microgravity analogs to study effects of microgravity on human cardiovascular system. Although 6º head-down tilt (HDT) is widely used to study the effects on cardiovascular system in space, the net effect of microgravity on the body of an astronaut is the resultant of postures at different inclinations ranging from 0º to 360º as the astronaut’s posture continuously changes due to the absence of gravity. Therefore, in the present study, an investigation of various cardiac parameters and their circulatory adaptation in 18 healthy male subjects was undertaken by using an indigenously developed 360º rotating platform. Cardiac pulse was recorded from 0º to 360º in steps of 30° inclination using piezoelectric pulse sensor MLT1010 and parameters such as average t1, t2, ratios P2/P1, t2/t1, V/P1, systolic blood pressure(SBP), diastolic blood pressure (DBP), heart rate (HR), stroke volume (SV) and cardiac output (CO) were analyzed. The results showed significant changes in the pulse shape and variation in cardiac parameters during the rotation from 0° to 360°. SBP and DBP were found to be decreased during the upright (90°) and upside-down positions (270°). Similar trend was observed for SV and CO except HR. Interestingly, when rotated from 0º to 360º, the cardiac parameters showed an oscillating pattern and the response became normal after returning to supine posture indicating the ability of the cardiovascular system to reversibly adapt to the postural changes. The changes in cardiac parameters at an inclination 270°, in particular, were found to be comparable with spaceflight studies. Based on our findings, we herewith propose that the rotation at head down tilt inclination (270°) along with other inclinations could represent a better microgravity analog for understanding the cumulative cardiac response of astronauts in space.
Vγ1 and Vγ4 γδ T cell subsets play opposing roles in traumatic brain injury
Authors: Weiner Howard , Abou-El-Hassan Hadi , Rezende Rafael , Gabriely Galina , Tatematsu Bruna , Habashy Karl , Lopes Juliana , Maghzi Hadi , Izzy Saef , Yahya Taha , Yin Zhuoran , Krishnan Rajesh , Butovsky Oleg 
Published: September 2022

Abstract
Traumatic brain injury (TBI) results in both morbidity and mortality in which both innate and adaptive immune responses play an important role in the pathogenesis of TBI. Nonetheless, the role of gamma-delta (γδ) T cells in acute and chronic TBI is unknown. Here, we show that γδ T cells affect the pathophysiology of TBI as early as one day and up to one year after injury. TCRδ−/− mice exhibited reduced inflammation in acute TBI and improved neurocognitive functions in chronic TBI. We found that Vγ1 and Vγ4 γδ T cell subsets played opposing roles in TBI. Vγ4 γδ T cells infiltrate the brain and secrete IFN-γ and IL-17 that activate microglia and induce neuroinflammation, whereas Vγ1 γδ T cells infiltrate the brain and secrete TGF-β that maintains microglial homeostasis and dampens TBI. These findings provide new insights on the role of different γδ T cell subsets after brain injury and provide novel avenues for the development of targeted γδ T-cell-based therapy for the treatment of TBI.
Correlations between SUVmax of 18F FDG PET/CT and Clinical Characteristics in Healthy Subjects
Authors: Tsai Shih-Chuan , Lin Yi-Ching , Shen Shih-Pei , Kao Chia-hung , Chen Pei-chun 
Published: September 2022

Abstract
Background 18F-FDG PET/CT has been wildly used in cancer screening. However, FDG accumulates not only in malignant lesions but also in inflammatory processes, which are frequently observed in normal subjects. We investigated PET/CT images in healthy subjects and identified the correlation between quantitative values of images and clinical characteristics. Method 105 subjects undergoing PET/CT scans for health examinations were retrospectively collected. The standardized uptake value (SUVmax) in the nasopharyngeal (NP) region, neck lymph nodes (LNs), palatine tonsil, mediastinal or pulmonary LNs were evaluated. The correlation between the SUVmax and the clinical variables was assessed. Results There is strong negative correlation between the SUVmax of palatine tonsils and age (p =0.0004), strong positive correlation between the SUVmax of mediastinal LNs and age (p =0.0004). There’s positive correlation between the SUVmax of palatine tonsils and cholesterol (p =0.03), the SUVmax of neck LNs and serum CRP level (p = 0.04). Conclusion Age may have different effect on SUVmax of palatine tonsils and mediastinal LNs. While serum level of Cholesterol and CRP may be related to higher FDG uptake. Understanding clinical characteristics of subjects may help the interpretation of PET/CT images for cancer screening.
Construction of new artificial intelligence assisted diagnosis composite model of colonoscopy and research on its recognition of common colon lesions
Authors: Wang Xiaoxu , Wen Jing , Feng Jia , Lu Nali , Liu Cuihua , Zhi Jia , Wang Ziyang , Huang Jin 
Published: September 2022

Abstract
BackgroundAt present, a number of artificial intelligence assisted diagnosis models have emerged in the field of colonoscopy. Most of them are single models which were used to study the detection rate of colon polyps and adenomas, while the diagnosis of other colon lesions is relatively lacking. Based on this, our center developed a new artificial intelligence diagnosis composite model to identify common colon lesions.MethodsColonoscopy images and videos of common lesions in three digestive endoscopy centers were collected to construct training and validation datasets respectively. After training, target detection model YoloV5 and instance segmentation model SOLO with the best performance index were selected. We combined them to form a new artificial intelligence assisted diagnosis composite model of colonoscopy to evaluate the diagnostic efficacy of this composite model in common colon lesions.ResultsAfter repeated comparison of the results of machine validation and judgment results combined with pathology from endoscopic expects, the accuracy, sensitivity and specificity of the model for diagnosis of adenomatous polyps were 99.0%, 96.8% and 99.4% respectively. The diagnostic performance of ulcerative colitis is relatively lower, the accuracy, sensitivity and specificity were 88.5%, 79.7% and 89.8%, respectively. The diagnostic performance of other lesions was above 90%.ConclusionThe new artificial intelligence assisted diagnosis composite model developed by our team can assist endoscopists to identify common colon lesions quickly and accurately, especially for beginners to carry out colonoscopy. So that the detection rate of lesions can be improved and the rate of missed diagnosis can be reduced.The trial registration number: ChiCTR2000028906, the full date of first registration as 07/01/2020
Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project
Authors: Le Hai , Dimitrakopoulou Konstantina , Patel Hamel , Curtis Charles , Cordero-Grande Lucilio , Edwards Anthony , Hajnal Joseph , Tournier J Donald , Deprez Maria , Cullen Harriet 
Published: September 2022

Abstract
Increasing lines of evidence suggest deviations from the normal early developmental trajectory could give rise to the onset of schizophrenia during adolescence and young adulthood, but few studies have investigated brain imaging changes associated with schizophrenia common variants in neonates. This study compared the brain volumes of both grey and white matter regions with schizophrenia polygenic risk scores (PRS) for 207 healthy term-born infants of European ancestry. Linear regression was used to estimate the relationship between PRS and brain volumes, with gestational age at birth, postmenstrual age at scan, ancestral principal components, sex and intracranial volumes as covariates. The schizophrenia PRS were negatively associated with the grey (β = -0.08, p = 4.2 x 10− 3) and white (β = -0.13, p = 9.4 x 10− 3) matter superior temporal gyrus volumes, white frontal lobe volume (β = -0.09, p = 1.5 x 10− 3) and the total white matter volume (β = -0.062, p = 1.66 x 10− 2). This result also remained robust when incorporating individuals of Asian ancestry. Explorative functional analysis of the schizophrenia risk variants associated with the right frontal lobe white matter volume found enrichment in neurodevelopmental pathways. This preliminary result suggests possible involvement of schizophrenia risk genes in early brain growth, and potential early life structural alterations long before the average age of onset of the disease.
Towards Real-Time Portable Gas Mass Spectroscopy Detection by Multivariate Analysis: a Case Study
Authors: Franceschelli Leonardo , Ciricugno Carla , Lorenzo Maurizio Di , Romani Aldo , Berardinelli Annachiara , Tartagni Marco , Correale Raffaele 
Published: September 2022

Abstract
Early and significant results for a real-time, column-free miniaturized gas mass spectrometer (MS) in detecting target species with partial overlapping spectra are reported. The achievements have been possible using both nanoscale holes to be used as a nanofluidic sampling inlet system and a robust statistical technique based on multivariate analysis to build predictive models. Even if the presented physical implementation could be used with gas chromatography (GC) columns, the aim of high miniaturization requires investigating its detection performance with no GC aid. For this reason, suitable analytical models were studied to get a semi-quantitative evaluation with very low computational resources. As a study case, dichloromethane (CH2Cl2) and cyclohexane (C6H12) with concentrations in the 6-93ppm range in single and compound mixtures were used. The nano-orifice approach was able to acquire raw spectra in 60 seconds with correlation coefficients of 0.525 and 0.578 with respect to the NIST reference database, respectively. Then, we built a calibration dataset on 2277 raw spectra of 10 known different mixtures using partial least square regression (PLSR) for statistical data inference. The model showed a normalized full-scale root-mean square deviation (NRMSD) accuracy of \(10.9\text{\%}\) and \(18.4\text{\%}\) for each species, respectively, even in combined mixtures.
Genotyping by Sequencing for Estimating Relative Abundances of Diatom Taxa in Mock Communities
Authors: Çiftçi Ozan , Wagemaker Cornelis A. M. , Mertens Adrienne , Bodegom Peter van , Pirovano Walter , Gravendeel Barbara 
Published: September 2022

Abstract
Background: Diatoms are present in all waters and are highly sensitive to pollution gradients. Therefore, they are ideal bioindicators for water quality assessment. Current indices used in these applications are based on identifying diatom species and counting their abundances using traditional light microscopy. Several molecular techniques have been developed to help automate different steps of this process, but obtaining reliable estimates of diatom community composition and species abundance remains challenging. Results: Here, we evaluated a recently developed quantification method based on Genotyping by Sequencing (GBS) for the first time in diatoms to estimate the relative abundances within a species complex. For this purpose, a reference database comprised of thousands of gDNA clusters was generated from the monoclonal cultures of the diatom Nitzschia palea. The sequencing reads from calibration and mock samples were mapped against this database for parallel quantification. We sequenced 25 mock diatom communities containing up to five taxa per sample in different abundances. Taxon abundances in these communities were also quantified by a diatom expert using manual counting of cells on light microscopic slides. The relative abundances of strains across mock samples were over- or under-estimated by the manual counting method, and a majority of mock samples had stronger correlations using GBS. Moreover, one previously recognized putative hybrid had the largest number of false positive detections demonstrating the limitation of the manual counting method when morphologically similar and/or phylogenetic close taxa are analyzed.Conclusions: Our results suggest that GBS is a reliable method to estimate the relative abundances of the N. palea taxa analyzed in this study and outperformed traditional light microscopy in terms of accuracy. Since GBS is scalable in species numbers within samples, unlike currently available quantitative molecular methods, this is a significant step forward in developing automated quantification of diatom communities for freshwater quality assessments.