bluuebunny/crossref_metadata_2025_split huggingface dataset:
Line managers' perspectives and responses when employees burn out
Authors: Claeys Manon , Broeck Anja Van den , Houkes Inge , de Rijk Angelique 
Published: July 2022

Abstract
PURPOSE: Despite our knowledge of how to prevent burnout, we know little about whether burnout can be stopped at an early stage as it is emerging. In a first step to develop this knowledge, we focus on line managers’ perspectives and responses when an employee who seems to be heading for burnout is still at work. METHODS: We interviewed 17 line managers working in the educational and health care/local government sectors, who had been confronted with the sickness absence of at least one employee due to burnout in the past. Interviews were transcribed verbatim, coded in NVivo, and analyzed thematically. RESULTS: During the period that the employee seems to be developing burnout while still at work, line managers experienced three different, successive phases: picking up signals, role-taking, and re-evaluation. Line managers’ personal frame of reference (e.g., having experience with burnout) related to whether and how they picked up signals of burnout. When they picked up the signals, the participating managers generally took an active role: they started a conversation, changed work tasks, and - at a later stage - adapted the employee’s job description without consulting the employee. They felt powerless yet learned from the experience when subsequently re-evaluating the period during which employees developed symptoms of burnout. These re-evaluations resulted in intentions for taking a more active role when other employees start to show symptoms of burnout. CONCLUSION: This study shows that improving line managers’ frame of reference, e.g., by organizing meetings and/or training, may help them to detect early signals of burnout and take action. This is a first step to prevent the further development of early burnout symptoms.
Alterations and correlations of ileum microbiota and serum metabolites in Crohn's disease
Authors: Xia Kai , Wu Tianqi , Gao Renyuan , Yin Lu , Chen Chunqiu 
Published: July 2022

Abstract
Background: Gut microbial imbalance is one of the recognized factors that may lead to Crohn’s disease (CD). In addition, the disturbances of gut microbiota may further contribute to metabolic disorders. The present study investigated the alterations and correlations of ileum microbiota and serum metabolites in CD.Methods: Fecal samples from the ileal stoma and venous blood samples were collected from CD patients in the active and remission stages. The composition of ileum microbiota was evaluated by 16S ribosomal RNA (rRNA) gene sequencing, and the alterations of serum metabolites including bile acids and amino acids were assessed by liquid chromatography-mass spectrometry (LC-MS).Results: The alpha diversity of ileum microbiota in the active stage was higher than in the remission stage, the statistical difference was not significant. However, a significant difference was observed for the beta diversity. On the phylum level, the relative abundances of Bacteroidetes, Desulfobacterota, Myxococcota, and Unclassified_k__norank_d__Bacteria were statistically higher in the active stage of CD. On the genus level, lower relative abundances of Veillonella, Lactococcus, Klebsiella, Unclassified_f__Enterobacteriaceae, Blautia, and Streptococcus were found in the active stage, while the contrary were observed for Bacteroides, Ralstonia, Collinsella, and Ruminococcus_torques_group with statistical differences.In terms of the alterations of serum metabolites, the concentrations of cholic acid, chenodeoxycholic acid, serine, isoleucine and arginine were higher in the active stage with statistical differences, while the concentrations of taurocholic acid, glycocholic acid, glycinechenodeoxycholic acid, asparagine, tyrosine and glycine were higher in the remission stage with statistical differences. Additionally, CDAI score was positively associated with active stage enriched microbiota and metabolites, while prealbumin was positively correlated with remission stage enriched microbiota and metabolites.Conclusion: The results revealed the dysbiosis of ileum microbiota and metabolites in CD, which varied across disease stages. Studying microbiology and metabolomics may establish a foundation for subsequent mechanistic studies and lead to novel therapy.
Control of Aedes mosquito by targeting dengue fever virus in local mosquito population
Authors: Sarwar Imtiaz , Riaz Muhammad Asam , Iftikhar Sohaib , Baig Mirza Bilal , Ali Zulfiqar , Afzal Muhammad , Majeed Muhammad Zeeshan , Ullah Muhammad Irfan 
Published: July 2022

Abstract
Mosquitoes are causing plenty of diseases including dengue fever, malaria, japanese encephalitis. Mosquitoes were collected from 1006 sties of six tehsils of district Sargodha. Different containers were inspected for mosquito sampling. RNA was extracted from female mosquitoes and used for cDNA synthesis followed by detection of arbovirus using primer. The site index (SI) and tehsil container index (TCI) of district Sargodha was 28.3 and 12.2 respectively. Overall, the percentage of Aedes spp, Culex spp. and Anopheles spp was 79, 20 and 0.4% respectively, in the collected population. Highest positive containers for Aedes mosquitoes were discarded tires. Overall, 12.2% of containers were found positive for mosquito population. Maximum number of larvae and adults were recorded from urban area of district Sargodha (SgdU). Arboviruses, Flavivviruses, were found in 5 pools (almost 3%) of the samples, while, other viruses such as Alphaviruses and Bunyaviruses were not detected in any of the samples. Man-made habitats are the main contributors to dengue fever mosquito population. There is a dire need of proper environment management to reduce the breeding places of mosquito and detect the virus in local population for environmental friendly control of dengue fever mosquito.
Resection Cavity Dynamics and Optimal Timing of Adjuvant Stereotactic Radiosurgery for Resected Brain Metastases
Authors: Rajkumar Sujay , Liang Yun , Shepard Matthew J. , Williamson Richard , Yu Alexander , Karlovits Stephen M. , Wegner Rodney E. 
Published: July 2022

Abstract
Purpose: Optimal timing of SRS after surgical resection of brain metastases (BMs) remains debated but is generally advocated to occur within four weeks of surgery to account for cavity remodeling. Our study assesses this recommendation by examining cavity dynamics and any downstream effects on outcome.Methods: Post-operative MRIs were used to compare target lesion volumes to target volume at time of SRS. Spearman’s analysis identified a relationship between the time to SRS (ttSRS) and target remodeling. The Mann-Whitney-U test compared median remodeling between groups receiving standard (£ 4 weeks) and late (> 4 weeks) adjuvant SRS. Kaplan Meier functions estimated probabilities of LR and survival (OS). A Cox proportional hazards model (CPH) identified predictors of OS, LR, and leptomeningeal disease (LMD).Results: Median ttSRS was 32 days (3 - 72). A positive correlation exists when comparing ttSRS to reduction in cavity volume (0-10 weeks; p = 0.01) with no difference in median cavity remodeling between standard and late SRS groups. OS and LR rates were respectively 53.3% and 70.2% at 12 months with no difference in OS (p = 0.16) or LR (p = 0.54) between standard and late SRS groups. Subtotal resection predicted LMD (HR: 6.37; p = 0.03). No grade 3 or higher toxicity was seen in follow-up.Conclusions: Resection cavities may continue to shrink well after resection. There is no significant difference in OS or LR based on ttSRS, however, treatment factors such as the extent of resection may account for outcomes such as LMD.
Clinicopathological and Immunological Profiles of Prostate Adenocarcinoma and Neuroendocrine Prostate Cancer
Authors: Huang Gang , Zhang Huaru , Shi Haoqing , Zhang Wenhui , Wang Tao , Wang Ziwei , Chen Qing , Lian Bijun , Li Jing , Yang Guosheng 
Published: July 2022

Abstract
Background: Biomarkers of DNA damage repair deficiency provide opportunities for personalized treatment with immunotherapy. However, there is limited research on the immune microenvironment of adeno-neuroendocrine prostate cancer (NEPC). In this study, we aimed to assess and describe the comprehensive clinicopathological manifestations of NEPC to improve diagnosis and predict prognosis. Methods: A retrospective medical record review of 66 patients with prostate cancer (PCa) was performed. PCa samples from the 66 patients were analyzed using immunohistochemical staining for the detection of chromogranin, neural cell adhesion molecule 1, and synaptophysin. For tumor-associated immune microenvironment analysis, PD-L1, CD3, and CD8 were labeled in tissue slides. The effect of clinicopathological factors on the survival of patients with Adeno-NEPC was analyzed.Results: Twenty patients presented with Adeno-NEPC, whereas 46 presented with Adeno-PCa. The median age of patients at PCa diagnosis was 67.86 ± 7.05 years (68.65 ± 7.23 years, Adeno-NEPC; 67.52 ± 7.02 years, Adeno-PCa). Eleven patients with Adeno-NEPC underwent prostatectomy, whereas nine received primary androgen deprivation therapy (ADT). Additionally, 30 patients with Adeno-PCa underwent prostatectomy, whereas 16 (34.8%) received primary ADT. There was a significant difference in overall survival between patients with Adeno-NEPC and those with Adeno-PCa (46.0 months vs. 65.0 months). There was also a significant difference in time from prostatectomy to biochemical recurrence between the groups of patients who underwent prostatectomy. Prostatectomy and normal lactate dehydrogenase levels were clinical factors that were significantly associated with better outcomes in patients with Adeno-NEPC. Metastatic Adeno-NEPC was associated with a higher programmed death ligand 1 (PD-L1) score (2–4) than localized PCa. The data showed that PD-L1 expression in Adeno-NEPC may be negatively associated with that in CD8+ T cells. Conclusions: Our study revealed clinicopathological manifestations of Adeno-NEPC and some possible predictive factors significantly associated with better outcomes in patients with Adeno-NEPC. These findings might be beneficial in the development of diagnostic strategies and customized treatment plans.
WISNet: A Deep Neural Network based Human Activity Recognition System
Authors: Sharen H , Rukmani P , Anbarasi L Jani , Gandomi Amir H 
Published: July 2022

Abstract
Nowadays, human activity recognition (HAR) is a key component of many ubiquitous innovative solutions, where both accelerometer and gyroscope data provide information about an observed person's physical activity. HAR offers a diverse variety of important applications, including healthcare, burglary detection, workplace monitoring, and emergency detection. In this paper, we propose a custom 1D-CNN deep learning approach named WISNet to recognize complex human activity. The proposed model is compared with other time-series deep learning models, which include Gated Recurrent Units (GRU), Long Short-Term Memory (LSTM), and recurrent neural network (SimpleRNN), to classify and detect the six class WISDM dataset. This dataset includes basic ambulation-related activities, like walking, jogging, and climbing stairs; having been retrieved from sensors in smartphones and smartwatches. The proposed WISNet architecture outperforms the other time series models in detecting the six classes; GRU, LSTM, and SimpleRNN attain an accuracy of 95.27%, 95.15%, and 91.8%, respectively. For HAR, the proposed trained WISNet model achieves enhanced an accuracy and F1-score of 96.41% and 0.95, respectively, surpassing the other models. The proposed WISNet architecture consists of a smaller number of convolutions, generating almost less than 10% features when compared to the GRU, LSTM, and SimpleRNN, presenting also better results.
Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey
Authors: Badawy Mohammed , Ramadan Nagy , Hefny Hesham Ahmed 
Published: July 2022

Abstract
Aim
This paper aims to present a comprehensive survey of existing machine learning and deep learning approaches utilized in healthcare prediction, as well as identify inherent obstacles to applying these approaches in the healthcare prediction domain.
Background
Healthcare prediction has been a significant factor in saving human lives in recent years. In the domain of healthcare, there is a rapid development of intelligent systems for analyzing complicated relationships among data and transforming them into real information for use in the prediction process. Consequently, artificial intelligence is rapidly transforming the healthcare industry. Thus comes the role of systems depending on machine learning as well as deep learning in the creation of steps that diagnose and predict diseases, whether from clinical data or based on images, that provide tremendous clinical support by simulating human perception and can even diagnose diseases that are difficult to detect by human intelligence.
Methods
The studies discussed in this paper have been presented in journals published by IEEE, Springer, and Elsevier. Machine learning, deep learning, healthcare, surgery, cardiology, radiology, hepatology, and nephrology are some of the terms used to search for these studies. The studies chosen for this survey are concerned with the use of machine learning as well as deep learning algorithms in healthcare prediction.
Results
A total of 40 working papers were selected and the methodology for each paper was clarified.
Conclusion
This paper presents a comprehensive survey as well as the current challenges in healthcare prediction. studies have shown that artificial intelligence plays a significant role in diseases diagnosing.
Frameless Robot-Assisted Stereotactic Biopsy is Superior to Microsurgical Biopsy for Pediatric Diffuse Intrinsic Pontine Gliomas
Authors: Wang Min , Zhang Yi , Shi Wei , Zhu Renqing , Li Hao , Zhao Rui 
Published: July 2022

Abstract
Purpose: Diffuse intrinsic pontine gliomas are prone to high surgical risks , and they could even lead to death due to their specific sites. To determine the value of frameless robot-assisted stereotactic biopsies of DIPGs, when compared with microsurgical biopsies.Methods: We conducted a retrospective study of 71 pediatric patients who underwent biopsies from January 2016 to January 2021. (i) group 1: microsurgical biopsies, (ii) group 2: frameless robot-assisted stereotactic biopsies. Demographic information, neuroimaging characteristics, pathological diagnoses, operation time, postoperative intensive care unit (ICU) stay time, postoperative hospitalization time, complications, cost, and perioperative mortality rate (POMR) were collected for analysis.Results: 32 cases underwent microsurgical biopsies (group 1) and 39 cases underwent frameless robot-assisted stereotactic biopsies(group 2). All cases were accurately diagnosed after surgery. There was no significant difference in gender, age, symptom times and tumor volumes between the two groups (p > 0.05); operation time, postoperative ICU, stay time and postoperative hospitalization time were longer in group 1 than in group 2 (p < 0.001); the intraoperative bleeding volumes and cost were higher in group 1 than in group 2 (p < 0.001). Group 1 patients required more perioperative blood transfusion than group 2 (p = 0.001), and the new neurological impairments were more frequent in group 1 than in group 2 (p = 0.003). The POMR was 9.38% (3/32) in group 1 and 0 in group 2 (p = 0.087).Conclusions: Frameless robot-assisted stereotactic biopsy was superior to microsurgical biopsy for pediatric DIPGs.
Lab and field evaluation of tagging methods for the use of acoustic telemetry to observe sea urchin movement behaviour at ecologically relevant spatio-temporal scales
Authors: MacGregor Kathleen A. , Lavoie Marie-France , Robinson Shawn M. C. , Simard Émilie , McKindsey Christopher W. 
Published: July 2022

Abstract
Background
Acoustic telemetry allows detailed observations of the movement behaviour of many species and as tags get smaller, smaller organisms may be tagged. The number of studies using acoustic telemetry to evaluate marine invertebrate movement is growing, but novel attachment methods include unknowns about the effects of tagging procedures on individual survival and behaviour. This study compared methods of tag attachment on green sea urchins (Strongylocentrotus droebachiensis) to determine the feasibility of using acoustic transmitters to track urchin movement. Four tagging methods were compared in the lab and tag retention, urchin condition, and survival analyzed. Two tagging methods (Dyneema® fishing line and T-bar tags) were evaluated in the field using an existing acoustic telemetry array. Urchins were tagged and the study area revisited one week and two months post-release by scuba divers to estimate movement and tag retention.
Results
The best methods in the lab, with high tag retention, survival, and minimal effects on urchin condition, were fishing line methods. T-bar tags, although showing high tag retention, caused significant mortality and had deleterious long-term effects on urchin condition and behaviour. After two months in the field, as in the lab, fishing line was a more effective tagging method. Urchins tagged with fishing line showed increased estimates of space occupancy compared to T-bar-tagged urchins and a single fishing-line tagged individual was found by divers in good health after 80 days. Combined, these laboratory and field results demonstrate the feasibility of using acoustic telemetry to observe urchin movement.
Conclusions
Results strongly suggest that surgical attachment methods that minimize injuries at the attachment site should be prioritized for marine echinoderm tagging studies. Together, lab and field tests indicate that acoustic telemetry is a promising method to examine marine echinoderm movement over ecologically relevant spatial and temporal scales.
A bifunctional-iodine coordination bismuth crystallization material: excellent photocatalytic and adsorption properties as well as mechanism investigation
Authors: Wang Xue Min , Liu Min , Guan Qing Lin , Sun Qiao , Xing Yong Heng , Bai Feng Ying 
Published: July 2022

Abstract
Two types of crystalline solid materials [BiI4(phen)∙(Hphen)]2 (1) and Bi(phen)2(NO3)3 (2) have been synthesized by the solution volatilization method. They were characterized by elemental analysis, IR spectroscopy, UV-vis spectroscopy, as well as singe crystal, powder X-ray diffraction and thermogravimetric analysis. Eg values (2.00 ev for 1 and 3.14 ev for 2) showed that compound 1 exhibited excellent photocatalytic degradation of cationic dyes Rhodamine B (RhB), Methylene Blue (MB), Crystal Violet (CV) and neutral dye Rose Bengal sodium salt (RBS) under visible-light, and the degradation rate was in the range of 93.3–95.5%. The adsorption efficiency for the anionic dyes Eosin, Coomassie Brilliant Blue (CBB) and Methyl Orange (MO) are between 80% and 99%. In the meantime, 1 also had outstanding degradation effects for mixed dye system. After adsorption of CBB, compound 1 still had nearly identical photocatalytic degradation effects for MB and CV, which can achieve 90-92.6%. By dynamic simulation study, it was found that the photocatalytic process is suitable to the pseudo-first-order kinetic equation, while the adsorption process belongs to the pseudo-second-order kinetic equation. By capturing the experiment and solid fluorescence spectrum, it was demonstrated that the photocatalytic is a free radical reaction. The adsorption mechanism was further investigated through atomic force microscopy and theoretical calculation. In addition, compound 1 had preeminent recyclability, and the photocatalytic degradation efficiency after five cycles still keep above 90%. Therefore, compound 1 can be used as a splendid catalyst in dye wastewater treatment.
Macroeconomic Factors and the Prospects of Economic Prosperity in a Developing Economy: Evidence from Dynamic ARDL Simulations
Authors: Aladejare Samson Adeniyi 
Published: July 2022

Abstract
This study investigated the effects of inflation and exchange rates, deficit financing, foreign investment, and financial development on economic prosperity measured by GDP per capita for Nigeria from 1970 to 2020. Empirical inferences were derived by applying the autoregressive distributed lag (ARDL), dynamic ARDL (DYNARDL), and the Kernel-based least squares (KRLS) models. It was observed that inflation rate and deficit financing adversely impacted economic wealth in the short and long term. At the same time, the exchange rate and financial development only benefited economic prosperity in the long term. In contrast, foreign investment was reported to be prosperity-decelerating in the long term. Applying the DYNARDL and KRLS techniques enabled the response of economic prosperity to future counterfactual shocks to the inflation and exchange rate variables. While inflationary shocks may have long-term beneficial effects on economic prosperity, shocks to the exchange rate will slightly erode these benefits. The study proposed several policy measures.JEL Classifications: E6, O11, O47.
Dmrt2 promotes transition of endochondral bone formation by linking Sox9 and Runx2
Authors: Ono Koichiro , Hata Kenji , Nakamura Eriko , Ishihara Shota , Kobayashi Sachi , Nakanishi Masako , Yoshida Michiko , Takahata Yoshifumi , Murakami Tomohiko , Takenoshita Seiichi , Komori Toshihisa , Nishimura Riko , Yoneda Toshiyuki 
Published: July 2022

Abstract
Endochondral bone formation is fundamental for skeletal development. During this process, chondrocytes undergo multiple steps of differentiation and coordinated transition from a proliferating to a hypertrophic stage, which is critical to advance skeletal development. Here, we identified the transcription factor Dmrt2 (double-sex and mab-3 related transcription factor 2) as a Sox9-inducible gene that promotes chondrocyte hypertrophy in pre-hypertrophic chondrocytes. Epigenetic analysis further demonstrated that Sox9 regulates Dmrt2 expression through an active enhancer located 18 kb upstream of the Dmrt2 gene and that this enhancer’s chromatin status is progressively activated through chondrocyte differentiation. Dmrt2-knockout mice exhibited a dwarf phenotype with delayed initiation of chondrocyte hypertrophy. Dmrt2 augmented hypertrophic chondrocyte gene expression including Ihh through physical and functional interaction with Runx2. Furthermore, Dmrt2 deficiency reduced Runx2-dependent Ihh expression. Our findings suggest that Dmrt2 is critical for sequential chondrocyte differentiation during endochondral bone formation and coordinates the transcriptional network between Sox9 and Runx2.