bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aplastic anemia: a new complication in the recent mysterious hepatitis outbreak among children worldwide: two case reports
Authors: Ghanei-Shahmirzadi Ali , Reihani Hamid , Abbasi-Kashkooli Ali , Karbasian Fereshteh , Hedayati Seyyed Bozorgmehr , Bordbar Mohammadreza , Ataollahi Maryam , Dehghani Seyed Mohsen , Geramizadeh Bita 
Published: November 2022

AbstractBackgroundRecently, an unknown hepatitis outbreak among children has concerned many individuals worldwide. These cases are frequently reported, mainly from Europe and other countries. In this study, we present two similar patients, who, to the best of our knowledge, are the first cases reported in the Middle East (Shiraz, Fars Province, Iran). Unlike in similar cases reported up until 30 April 2022, our patients’ hepatitis eventually resulted in aplastic anemia.Case presentationIn this study, we present cases of two Iranian boys aged 13 and 8 years with hepatitis of unknown origin who developed aplastic anemia in the course of hospitalization.ConclusionsHepatitis-associated aplastic anemia is a well-known immune-mediated form of aplastic anemia that we detected in our patients and treated with immunosuppressive therapy. One patient established a satisfactory response to the treatment, but unfortunately, the other was declared brain dead.
Cloud-based multiclass anomaly detection and categorization using ensemble learning
Authors: Shahzad Faisal , Mannan Abdul , Javed Abdul Rehman , Almadhor Ahmad S. , Baker Thar , Al-Jumeily OBE Dhiya 
Published: November 2022

AbstractThe world of the Internet and networking is exposed to many cyber-attacks and threats. Over the years, machine learning models have progressed to be integrated into many scenarios to detect anomalies accurately. This paper proposes a novel approach named cloud-based anomaly detection (CAD) to detect cloud-based anomalies. CAD consist of two key blocks: ensemble machine learning (EML) model for binary anomaly classification and convolutional neural network long short-term memory (CNN-LSTM) for multiclass anomaly categorization. CAD is evaluated on a complex UNSW dataset to analyze the performance of binary anomaly detection and categorization of multiclass anomalies. Furthermore, the comparison of CAD with other machine learning conventional models and state-of-the-art studies have been presented. Experimental analysis shows that CAD outperforms other studies by achieving the highest accuracy of 97.06% for binary anomaly detection and 99.91% for multiclass anomaly detection.
Climate change-driven shifts in plant–soil feedbacks: a meta-analysis
Authors: Hassan Kamrul , Golam Dastogeer K. M. , Carrillo Yolima , Nielsen Uffe N. 
Published: November 2022

Abstract
Background
Climate change is expected to affect plant–soil feedbacks (PSFs, i.e., the effects of a plant on the growth of another plant or community grown in the same soil via changes in soil abiotic and biotic properties), influencing plant community dynamics and, through this, ecosystem functioning. However, our knowledge of the effects of climate changes on the magnitude and direction of PSFs remains limited, with considerable variability between studies. We quantified PSFs associated with common climate change factors, specifically drought and warming, and their corresponding ambient (control) conditions using a meta-analytical approach. We investigated whether drought and warming effects on PSFs were consistent across functional groups, life histories (annual versus perennial) and species origin (native versus non-native), planting (monoculture, mixed culture) and experimental (field, greenhouse/laboratory) conditions.

Results
PSFs were negative (a mechanism that encourage species co-existence) under drought and neutral under corresponding ambient conditions, whereas PSFs were negative under both ambient and elevated temperatures, with no apparent difference in effect size. The response to drought was largely driven by stronger negative PSFs in grasses, indicating that grasses are more likely to show stronger negative PSFs than other functional groups under drought. Moreover, non-native species showed negative drought-induced PSFs while native species showed neutral PSFs under drought. By contrast, we found the opposite in pattern in response to warming for native and non-native species. Perennial herbs displayed stronger drought-induced negative PSFs than annual herbs. Mixed species communities displayed more negative PSFs than monocultures, independent of climate treatment. Finally, warming and drought treatment PSF effect sizes were more negative in experiments performed in the field than under controlled conditions.

Conclusions
We provide evidence that drought and warming can induce context-specific shifts in PSFs, which are dependent on plant functional groups, life history traits and experimental conditions. These shifts would be expected to have implications for plant community dynamics under projected climate change scenarios.
Integrated proteomic and metabolomic modules identified as biomarkers of mortality in the Atherosclerosis Risk in Communities study and the African American Study of Kidney Disease and Hypertension
Authors: Zhou Linda , Surapaneni Aditya , Rhee Eugene P. , Yu Bing , Boerwinkle Eric , Coresh Josef , Grams Morgan E. , Schlosser Pascal 
Published: November 2022

Abstract
Background
Proteins and metabolites are essential for many biological functions and often linked through enzymatic or transport reactions. Individual molecules have been associated with all-cause mortality. Many of these are correlated and might jointly represent pathways or endophenotypes involved in diseases.

Results
We present an integrated analysis of proteomics and metabolomics via a local dimensionality reduction clustering method. We identified 224 modules of correlated proteins and metabolites in the Atherosclerosis Risk in Communities (ARIC) study, a general population cohort of older adults (N = 4046, mean age 75.7, mean eGFR 65). Many of the modules displayed strong cross-sectional associations with demographic and clinical characteristics. In comprehensively adjusted analyses, including fasting plasma glucose, history of cardiovascular disease, systolic blood pressure and kidney function among others, 60 modules were associated with mortality. We transferred the network structure to the African American Study of Kidney Disease and Hypertension (AASK) (N = 694, mean age 54.5, mean mGFR 46) and identified mortality associated modules relevant in this disease specific cohort. The four mortality modules relevant in both the general population and CKD were all a combination of proteins and metabolites and were related to diabetes / insulin secretion, cardiovascular disease and kidney function. Key components of these modules included N-terminal (NT)-pro hormone BNP (NT-proBNP), Sushi, Von Willebrand Factor Type A, EGF And Pentraxin (SVEP1), and several kallikrein proteases.

Conclusion
Through integrated biomarkers of the proteome and metabolome we identified functions of (patho-) physiologic importance related to diabetes, cardiovascular disease and kidney function.
Longitudinal Effects of a sit-stand desk intervention - persistence, Fade-Out, and psychological momentum: a Randomized Controlled Trial
Authors: Konradt Udo , Nath Alexander , Krys Sabrina , Heblich Frank 
Published: November 2022

Abstract
Background
This study examined whether the effects of a sit-stand desk (SSD) intervention on employees’ musculoskeletal complaints (i.e., intensity and prevalence) and activation (i.e., vigilance and vitality) persist or fade out and whether velocity and acceleration of health improvements can predict medium-term (six-month) and long-term (24-month) improvements. Drawing from dynamic models of self-regulation, as well as the psychological momentum theory, we hypothesized that velocity and acceleration of health improvements in the early stages of the intervention would predict medium-term health improvements, which sustain long-term.

Methods
We used data from a six-month seven-wave randomized controlled trial with employees in mostly sedentary occupations and supplemented this by follow-up data from the same participants 18 months later, resulting in eight waves.

Results
Bayesian structural equational modeling revealed no significant intervention effect after 24 months implying a fade-out. But more importantly, velocity and, partially, acceleration of health improvements at earlier stages predicted medium-term improvements in musculoskeletal complaints and long-term improvements in vigilance.

Conclusion
The findings of this study suggest that positive intervention effects fade out over time and health effects benefit from prompt progresses at the beginning of the intervention, warranting exploration in prolonged longitudinal studies.
Trustworthiness judgments and Borderline Personality Disorder: an experimental study on the interplay of happiness and trustworthiness appraisals and the effects of wearing face masks during the Covid-19 pandemic in Germany
Authors: Biermann Miriam , Schulze Anna , Unterseher Franziska , Hamm Marie , Atanasova Konstantina , Stahlberg Dagmar , Lis Stefanie 
Published: November 2022

Abstract
Background
Judging positive emotional states or the trustworthiness of others is important for forming and maintaining social affiliations. Past studies have described alterations in these appraisal processes in Borderline Personality Disorder (BPD), which might have been exacerbated during the Covid-19 pandemic by the requirement to wear face masks. In the present study, we investigated in an online-survey a) whether social judgments are particularly strongly affected in individuals with BPD when they have to judge happiness and trustworthiness in facial stimuli covered by a mask, b) whether appraising a positive emotional state affects trustworthiness appraisals differentially in BPD and healthy individuals and c) whether social judgments are related to how individuals with BPD experience wearing masks during the pandemic.

Methods
Participants (67 HC, 75 BPD) judged happiness and trustworthiness of faces with calm expression with and without masks. Additionally, data on participants’ confidence in their judgments, the experience of the burden induced by wearing masks, the protective benefits of masks, and compliance to wearing masks were collected.

Results
Happiness and trustworthiness were evaluated less confidently and less intense in the BPD group compared to HC. Masks reduced happiness and trustworthiness ratings in both groups. Lower happiness appraisals contributed to lower trustworthiness appraisals except for those with BPD and low levels of symptom severity. Lower trustworthiness ratings were associated with a higher burden, attributing a lower benefit to masks and lower compliance with wearing masks in BPD.

Conclusions
Masks do not exacerbate deficits in social judgments. However, lower trustworthiness appraisals in general were linked with more negative evaluations of wearing masks in the BPD group.

Trial registration
The aims and hypotheses were preregistered together with the design and planned analyses (https://aspredicted.org/f5du7.pdf). For findings of an additionally preregistered research question on the impact of adverse childhood experiences see supplementary material.
A state-of-the-art examination of disaster management in Sierra Leone: the implementation drawbacks, research gaps, advances, and prospects
Authors: Turay Bashiru , Gbetuwa Sheku 
Published: November 2022

AbstractUnfolding events have shown that Sierra Leone is enduring various disasters at a worrying rate. While progress is being made in disaster management, activities that degrade the fragile ecosystem, exacerbated by climate change, poverty, and bad governance, remain growing concerns. Amid these concerns, there is inadequate information to take appropriate actions. The authors wish to provide a solution by examining 35 publications from various scholarly and grey literature and raw data sources, following a critical review process designed to expose the implementation drawbacks, research gaps, advances, and prospects in disaster management in Sierra Leone. The study results show that lapses in data management, fewer professionals, and inefficiencies in communication are the most pressing considerations for improving disaster management in the country. Inadequate funds to implement management plans remain pervasive. Following these findings, we recommend that all first responders be routinely exposed to international tabletop exercises and simulated disaster response training to help them build their capacities and learn from other countries. Students in the relevant disciplines should be encouraged to participate in these exercises to facilitate early learning. Also, management initiatives should consider gender equity, the situations of the disabled, and other vulnerable groups at all levels of planning and implementation of activities. Future studies should assess the influence of social media on disaster management research and practice in the country.
Labor order under digital control: research on labor control of take-out platform riders
Authors: Chen Long 
Published: November 2022

AbstractFollowing Marx’s analysis of technical control, this article studies the labor process of take-out riders from the perspectives of organizational and scientific technology. On the one hand, by redistributing control power, the platform system (software) and consumers replace the platform company (manager) to manage take-out riders. Although the platform company seems to have given up direct control over riders, it downplays the employer’s responsibility and transfers labor conflicts to the platform system and consumers. On the other hand, digital control has changed from physical machines and computer equipment to virtual software and data. The platform system makes labor order possible by subtly collecting and analyzing data from riders and using these data analysis results to manage them. Thus, digital control not only weakens riders’ willingness to resist and gradually reduces their autonomy but also “invites” them to participate in an implicit process of self-management. The control methods of capital change not only from autocracy to hegemony but also from physical to virtual.
Bureaucratic control across enterprise boundaries: labor organization and the control of the online car-hailing platforms
Authors: Zhao Lei , Han Yue 
Published: November 2022

AbstractThis article shows that the online car-hailing platforms, supported by the digital technology of information matching, are more than some “flat” market organizations but are essentially bureaucratic organizations that are market-oriented and rely on business rules, digital technology, and third-party management institutions. By taking advantage of its monopolistic position, the car-hailing platform has built a bureaucratic control system with multilayer hierarchies in which various market players outside the enterprise participate. The platform first organizes production in a cooperative way by setting up external jobs, then guarantees that both drivers and leasing companies will follow the business rules and improve predictability. Finally, the platform uses digital technology and leasing companies to realize driver management and rule implementation.
Developing an implementation fidelity checklist for a vocational rehabilitation intervention
Authors: Powers Katie , Clarke Sara , Phillips Julie , Holmes Jain A. , Cripps Rachel , Craven Kristelle , Farrin Amanda , das Nair Roshan , Radford Kathryn A. 
Published: November 2022

Abstract
Background
Despite growing numbers of studies reporting the efficacy of complex interventions and their implementation, many studies fail to report information on implementation fidelity or describe how fidelity measures used within the study were developed. This study aimed to develop a fidelity checklist for measuring the implementation fidelity of an early, stroke-specialist vocational rehabilitation intervention (ESSVR) in the RETAKE trial.

Methods
To develop the fidelity measure, previous checklists were reviewed to inform the assessment structure, and core intervention components were extracted from intervention descriptions into a checklist, which was ratified by eight experts in fidelity measurement and complex interventions. Guidance notes were generated to assist with checklist completion. To test the measure, two researchers independently applied the checklist to fifteen stroke survivor intervention case notes using retrospective observational case review. The scoring was assessed for interrater reliability.

Results
A fidelity checklist containing 21 core components and 6 desirable components across 4 stages of intervention delivery was developed with corresponding guidance notes. Interrater reliability of each checklist item ranged from moderate to perfect (Cohen’s kappa 0.69–1).

Conclusions
The resulting checklist to assess implementation fidelity is fit for assessing the delivery of vocational rehabilitation for stroke survivors using retrospective observational case review. The checklist proved its utility as a measure of fidelity and may be used to inform the design of future implementation strategies.

Trial registration
ISRCTN, ISRCTN12464275. Registered on 13 March 2018.
IL-6 production through repression of UBASH3A gene via epigenetic dysregulation of super-enhancer in CD4+ T cells in rheumatoid arthritis
Authors: Yamagata Kaoru , Nakayamada Shingo , Zhang Tong , Nguyen Anh Phuong , Ohkubo Naoaki , Iwata Shigeru , Kato Shigeaki , Tanaka Yoshiya 
Published: November 2022

Abstract
Background
Rheumatoid arthritis (RA) is associated with immune dysfunction. UBASH3A as a negative regulator of T cell receptors (TCRs) signaling is a susceptible factor in RA. The aim of this study was to determine the role of UBASH3A in RA pathogenesis, by assessing the role of super-enhancer (SE) in the control of UBASH3A expression in CD4+ T cells and the contribution of the latter in proinflammatory cytokine production in patients with RA.

Methods
UBASH3A mRNA and protein levels were quantified by PCR and western blotting, respectively. The cells were treated with a locked nucleic acid to inhibit enhancer RNA (eRNA) expression. Chromatin immunoprecipitation was used to identify the factors recruited to UBASH3A loci displaying SE architecture. CD4+ T cells were transfected with UBASH3A plasmids, and cytokine levels were measured by a cytometric bead array.

Results
UBASH3A was extracted as a RA susceptibility gene associated with SNPs in the SEs that are highly expressed in CD4+ T cells by in silico screening. UBASH3A mRNA and protein expression levels were lower in CD4+ T cells of RA patients than in the control. eRNA_1 and eRNA_3 knockdown reduced UBASH3A mRNA levels. RA patients exhibited accumulation of BTB and CNC homology 2 (BACH2), the silencing transcription factor, at the UBASH3A loci in CD4+ T cells, but not the SE-defining factor, mediator complex subunit 1 (MED1)/bromodomain 4 (BRD4). However, opposite changes were observed in the control. Stimulation of TCRs expressed on CD4+ T cells of RA patients resulted in interleukin (IL)-6 production, while UBASH3A over-expression significantly inhibited the production.

Conclusions
In RA, transcription of UBASH3A is suppressed via epigenetic regulation of SE in CD4+ T cells. Low UBASH3A levels result in excessive TCR signal activation with subsequent enhancement of IL-6 production.
The differential fault analysis on block cipher FeW
Authors: Xiao Haiyan , Wang Lifang , Chang Jinyong 
Published: November 2022

AbstractFeather weight (FeW) cipher is a lightweight block cipher proposed by Kumar et al. in 2019, which takes 64 bits plaintext as input and produces 64 bits ciphertext. As Kumar et al. said, FeW is a software oriented design with the aim of achieving high efficiency in software based environments. It seems that FeW is immune to many cryptographic attacks, like linear, impossible differential, differential and zero correlation attacks. However, in recent work, Xie et al. reassessed the security of FeW. More precisely, they proved that under the differential fault analysis (DFA) on the encryption states, an attacker can completely recover the master secret key. In this paper, we revisit the block cipher FeW and consider the DFA on its key schedule algorithm, which is rather popular cryptanalysis for kinds of block ciphers. In particular, by respectively injected faults into the 30th and 29th round subkeys, one can recover about 55/80 ≈ 69% bits of master key. Then the brute force searching remaining bits, one can obtain the full master secret key. The simulations and experiment results show that our analysis is practical.
Culinary trails in popularizing ethnic cuisines
Authors: Topczewska Jadwiga , Lechowska Jadwiga , Kaszuba Joanna , Krupa Wanda 
Published: November 2022

AbstractThe aim of the article is to advance knowledge regarding the significant role played by culinary trail projects in promoting foods from ethnic groups residing in Podkarpackie, Poland’s southeastern region. Podkarpackie’s culinary heritage, cultural identities, and the specificity of its cuisine that contribute to the region’s touristic potential are presented. Traditional and regional dishes of Podkarpackie are characterized by their originality and rich flavors, variety, and simplicity of preparation. They contribute to the region’s tourist attractions. Many restaurants in Southeast Poland offer regional dishes, such as kwaśnica, fuczki, and pierogi with various fillings or stuffed cabbage rolls. Culinary trails can be a critical factor in promoting not only the region’s ethnic food but its related culture and art as well.
Review of data quality indicators and metrics, and suggestions for indicators and metrics for structural health monitoring
Authors: Makhoul Nisrine 
Published: November 2022

AbstractStructural Health Monitoring (SHM) systems have been extensively implemented to deliver data support and safeguard structural safety in structural integrity management context. SHM relies on data that can be noisy in large amounts or scarce. Little work has been done on SHM data quality (DQ). Therefore, this article suggests SHM DQ indicators and recommends deterministic and probabilistic SHM DQ metrics to address uncertainties. This will allow better decision-making for structural integrity management.Therefore, first, the literature on DQ indicators and measures is thoroughly examined. Second, and for the first time, necessary SHM DQ indicators are identified, and their definitions are tailored.Then SHM deterministic simplified DQ metrics are suggested, and more essentially probabilistic metrics are offered to address the embedded uncertainties and to account for the data flow.A generic example of a bridge with permanent and occasional monitoring systems is provided. It helps to better understand the influence of SHM data flow on the choice of DQ metrics and allocated probability distribution functions. Finally, a real case example is provided to test the feasibility of the suggested method within a realistic context.