bluuebunny/crossref_metadata_2025_split huggingface dataset:
Safety of cinacalcet in children and adolescents with chronic kidney disease-mineral bone disorder: systematic review and proportional meta-analysis of case series
Authors: Zamoner Soraya Mayumi Sasaoka , Takase Henrique Mochida , Riyuzo Marcia Camegaçava , Caramori Jacqueline Costa Teixeira , de Andrade Luis Gustavo Modelli 
Published: November 2023

Abstract
Background
Mineral and bone disease in children with chronic kidney disease can cause abnormalities in calcium, phosphorus, parathyroid hormone, and vitamin D and when left untreated can result in impaired growth, bone deformities, fractures, and vascular calcification. Cinacalcet is a calcimimetic widely used as a therapy to reduce parathyroid hormone levels in the adult population, with hypocalcemia among its side effects. The analysis of safety in the pediatric population is questioned due to the scarcity of randomized clinical trials in this group.

Objective
To assess the onset of symptomatic hypocalcemia or other adverse events (serious or non-serious) with the use of cinacalcet in children and adolescents with mineral and bone disorder in chronic kidney disease.

Data sources and study eligibility criteria
The bibliographic search identified 2699 references from 1927 to August/2023 (57 LILACS, 44 Web of Science, 686 PubMed, 131 Cochrane, 1246 Scopus, 535 Embase). Four references were added from the bibliography of articles found and 12 references from the gray literature (Clinical Trials). Of the 77 studies analyzed in full, 68 were excluded because they did not meet the following criteria: population, types of studies, medication, publication types and 1 article that did not present results (gray literature).

Participants and interventions
There were 149 patients aged 0–18 years old with Chronic Kidney Disease and mineral bone disorder who received cinacalcet.

Study appraisal and synthesis methods
Nine eligible studies were examined for study type, size, intervention, and reported outcomes.

Results
There was an incidence of 0.2% of fatal adverse events and 16% of serious adverse events (p < 0.01 and I2 = 69%), in addition to 10.7% of hypocalcemia, totaling 45.7% of total adverse events.

Limitations
There was a bias in demographic information and clinical characteristics of patients in about 50% of the studies and the majority of the studies were case series.

Conclusions and implications of key findings
If used in the pediatric population, the calcimimetic cinacalcet should be carefully monitored for serum calcium levels and attention to possible adverse events, especially in children under 50 months.

Systematic review registration number (PROSPERO register)
CRD42019132809.
Spillover of an endemic avian Influenza H6N2 chicken lineage to ostriches and reassortment with clade 2.3.4.4b H5N1 high pathogenicity viruses in chickens
Authors: Abolnik Celia 
Published: November 2023

AbstractPrior to 2017, chicken production in South Africa had only ever been affected by an endemic strain of H6N2 low pathogenic avian influenza (LPAI), but since 2017, an outbreak of Goose/Guangdong clade 2.3.4.4b H5N8 high pathogenicity avian influenza (HPAI) introduced by wild birds, followed by clade 2.3.4.4b H5N1 HPAI (2021-present), affected the country. In the present study, the viruses from seven cases of H6N2 LPAI from commercial poultry between October 2019 and August 2020 were genome-sequenced along with an H5N2 HPAI virus, and phylogenetic analysis was performed. The H5N2 HPAI virus caused localized outbreaks in a small-scale chicken farm and a large commercial layer farm in the KwaZulu-Natal province between late October and early December 2022. The phylogenetic results confirmed the first incidence of the chicken-adapted H6N2 lineage in commercial ostriches in the Western Cape province, with a likely epidemiological origin in chickens from the KwaZulu Natal province. The results also showed that the H5N2 HPAI virus was a novel reassortant of PB2, PB1, PA, NP and NA genome segments derived from a parental H6N2 virus that circulated in region, whereas the HA, M and NS genome segments were derived from sub-genotype SA10 H5N1 HPAI parental virus that had circulated in the local wild bird reservoir since July 2021.
Food waste in Indian households: status and potential solutions
Authors: Priya Samant Shant , Dixit Sushil Kumar , Kabiraj Sajal , Priya Meenu Shant 
Published: November 2023

AbstractAccording to a report by the Food and Agriculture Organization (FAO), India had the highest number of undernourished people in the world in 2020. The COVID-19 pandemic further exacerbated the problem of world hunger (WHO 2021). According to the Food Waste Index Report, 2021, by United Nations Environment Programme (UNEP) and The Waste and Resources Action Programme (WRAP), 931 million tonnes of food waste was produced in 2019, with households accounting for 61%, food services for 26%, and retail for 13%. The report estimates that Indian households generate 50 kg of food waste per capita per year, resulting in total of 68,760,163 tonnes annually. This study aimed to investigate the reasons for food waste in Indian households and potential solutions to minimize or control food waste using interpretive phenomenological analysis. Reasons for food waste include miscalculations in meal preparation, a lack of appreciation for food, and a weakening of traditional Indian value systems. The study identified two potential solutions for controlling or eliminating food waste: exploring alternative methods of food consumption and enhancing the family culture surrounding food. The study results could potentially guide policymakers and planners in designing policies to address the problem of food waste in Indian households.
Zum Gebrauch von Kennzahlen als Controllinginstrument in Kommunalverwaltungen: eine soziologische Perspektive
Authors: Lindner Diana 
Published: November 2023

ZusammenfassungDer Artikel verfolgt das Ziel, Quantifizierungspraktiken in Kommunalverwaltungen am Beispiel des Kennzahlengebrauchs der Controllingabteilungen zu untersuchen. Auf Basis von Interviews, Dokumenten und Beobachtungen wird der Aufbau neuen Steuerungswissens als kognitive, soziale und technische Kalkulationspraxis rekonstruiert. Unter Nachvollzug des Einsatzes unterschiedlicher Methoden der Kennzahlrechnung und Prognosearbeit wird gezeigt, wie sich Steuerungshoffnungen von der „internen Leistungsvermessung“ zur „externen Umweltbeobachtung“ verschoben haben.
Martin–Löf reducibility and cost functions
Authors: Greenberg Noam , Miller Joseph S. , Nies André , Turetsky Dan 
Published: November 2023

AbstractMartin-Löf (ML)-reducibility compares the complexity of K-trivial sets of natural numbers by examining the Martin-Löf random sequences that compute them. One says that a K-trivial set A is ML-reducible to a K-trivial set B if every ML-random computing B also computes A. We show that every K-trivial set is computable from a c.e. set of the same ML-degree. We investigate the interplay between ML-reducibility and cost functions, which are used to both measure the number of changes in a computable approximation, and the type of null sets intended to capture ML-random sequences. We show that for every cost function there is a c.e. set that is ML-complete among the sets obeying it. We characterise the K-trivial sets computable from a fragment of the left-c.e. random real Ω given by a computable set of bit positions. This leads to a new characterisation of strong jump-traceability.
Fatigue and quality of life during neoadjuvant chemotherapy of early breast cancer: a prospective multicenter cohort study
Authors: Pelzer Florian , Tröger Wilfried , Reif Marcus , Schönberg Susanne , Martin David D. , Müller Cornelia , Utz-Billing Isabell , Kühn Thorsten , Baumgartner Stephan , Kiechle Marion , Paepke Daniela 
Published: November 2023

Abstract
Background
Few measurements of fatigue and quality of life have been performed during neoadjuvant chemotherapy of early breast cancer. This study evaluates fatigue and quality of life experienced by early breast cancer patients during neoadjuvant chemotherapy and their association with different clinical parameters.

Methods
Fifty-four stage I–III patients’ responses to the Multidimensional Fatigue Inventory (MFI) and to the Functional Assessment of Cancer Therapy-Breast (FACT-B) were analyzed by a linear covariance pattern model. Chemotherapy regimen, age, baseline fatigue level, body-mass-index and cancer stage were added to the model to estimate their impact on both outcomes.

Results
All fatigue dimensions worsened in clinically relevant levels. Physical fatigue worsened the most, mental fatigue the least. For quality of life, physical and functional well-being worsened the most. Only emotional well-being improved during chemotherapy. Physical well-being worsened more during standard than during dose-dense chemotherapy, and more during anthracycline than during taxane cycles. Age, body-mass-index and cancer stage had no impact. The higher the fatigue levels at baseline, the less they worsened during chemotherapy.

Conclusions
Further actions to reduce fatigue and improve quality of life during neoadjuvant chemotherapy of early breast cancer are needed. Focus should be laid on the physical dimension. Future research should also investigate the impact of different chemotherapy sequences and densities on fatigue and quality of life.

Study registration
The study was registered in the German Clinical Trials Register in May 2019 (DRKS00016761).
Concurrent activation and surface modification (CAM) process to produce surface-modified palm kernel shell-derived activated carbon (PKSdAC)
Authors: Lai Jia Yen , Chew Jiuan Jing , Ngu Lock Hei 
Published: November 2023

AbstractActivated carbon production via chemical activation followed by surface functionalization with metal groups aims to achieve surface functionalization for CO2, aromatic/metallic organic compounds, and dye adsorption. The prepared activated carbon possesses a porous structure containing metal functional groups with adsorptive properties. This work proposed integrating two synthesis steps to simplify the process and reduce resources and impact. The preparation of palm kernel shell (PKS) derived AC (PKSdAC) through a concurrent activation and surface modification (CAM) process combines sulphuric acid (H2SO4) activation (5–10% mass loading) with barium chloride (BaCl2) modification (10 wt.%) at an activation temperature of 400–700 °C. The barium (Ba) is produced through the reduction process. Incorporating Ba into PKSdAC is vital to initiate chemical CO2 and other related component adsorption. The optimization study identified that 7.5% H2SO4, 10 wt.% BaCl2, and 700 °C was optimal in obtaining a high 1.50 wt.% Ba impregnated in PKSdAC. CAM-PKSdAC synthesized at optimal conditions exhibited a sponge-like cubic meso-microporous carbon structure containing BaSO4 crystals with a surface area of 420 and 423 m2 g−1 for its micropore and mesopore structure. A total pore volume of 0.19 cm3 g−1 and an average pore diameter of 1.78 nm were achieved. Conventional surface modified-activated PKSdAC prepared at optimal conditions has a cubic porous structure and a crack surface containing little BaSO4 crystals with a higher surface area of 565 m2 g−1 and total pore volume of 0.18 cm3 g−1 and an average pore diameter of 1.27 nm.
Biosynthesis of selenium nanoparticles by potential endophytic fungi Penicillium citrinum and Rhizopus arrhizus: characterization and maximization
Authors: Gharieb Mohamed M. , Soliman Azza. M. , Omara Mohamed S. 
Published: November 2023

Abstract
Fungal-mediated biosynthesis of selenium nanoparticles (SeNPs) is one of the promising biological-based nanomanufacturing process. On the other hand, the use of endophytic fungi in this respect has emerged as a new approach for green and cost-effective production of several nanoparticles. In the present study, two endophytic fungal isolates, identified as Penicillium citrinum and Rhizopus arrhizus morphologically and genetically using the ITS rRNA- gene. These fungal strains exhibited tolerance up to 40 mM NaSeO3 accompanied with red coloration of the medium that suggested selenite reduction and formation of selenium nanoparticles (SeNPs). The reduced selenite was quantified using inductively coupled plasma mass spectrometry (ICP-MS), and the results revealed that these fungi under the optimum growth conditions are able to transform > 99.0% of 3.0 mM selenite into elemental selenium. The crystalline structure, particle-sized distribution, and morphology of the purified selenium particles were extracted and characterized by different techniques including UV–Vis, X-ray diffraction and high-resolution transmission electron microscopy. The results indicated the production of regular spherical shapes of SeNPs with a majority of average size between 50 and 80 nm. Fourier transform infrared spectroscopy (FT-IR) of the produced particles revealed the presence of different functional groups that would be implicated in the synthesis process as bioreducers and capping agents. The results of optimum growth conditions revealed that the higher fungal growth resulted in the higher selenite reduction activity. Sabouraud’s and yeast extract-peptone-glucose (YPG) broth media are the best media for maximum growth of P. citrinum and R. arrhizus, respectively, and synthesis of SeNPs. The best carbon sources are sucrose and starch while NH4NO3 and NH4Cl are the best nitrogen sources for growth and synthesis of SeNPs by the fungal strains. Selenite reduction and biosynthesis of SeNPs by the fungi seemed to increase with increasing pH and maximized at alkaline pH value (9.0) being 97.94 and 97.13% for P. citrinum and R. arrhizus respectively. Initial selenite concentration markedly influenced SeNP production and the maximum rates were 96.94 and 98.47% recorded at 3.0 mM selenite for both fungi. In conclusion, the results were discussed in relation to the potentiality of these endophytic fungi for biosynthesis of SeNPs, and the favorable nutritional conditions for maximum production.
An investigation of the effects of ironing parameters on the surface and compression properties of material extrusion components utilizing a hybrid-modeling experimental approach
Authors: Kechagias John D. , Zaoutsos Stephanos P. 
Published: November 2023

AbstractThermoplastic filament Material Extrusion (ME) is one of the most expansive 3D printing processes. Owed to the ME process’s simplicity, low cost of materials, popularity, and flexibility, considerable attention has been devoted to manufacturing specific parts in industries manipulating the polylactic acid (PLA) polymer, such as automotive and biomedical. This work aims to experimentally investigate the material flow and temperature for different layer heights on the surface texture parameters and compression strength of a tailored PLA hexagonal prismatic part. An experimental approach based on L9 Taguchi’s array and residual analysis (ANOVA) was employed to clarify the parameters’ effects and trends regarding the response variables. The analysis of means showed that the material flow and layer height are critical variables in defining ME parts’ roughness and compression. Based on ANOVA and mean absolute percentage errors (MAPE) results, additive models (ADMO) were used to predict all combinatorial response values. Then, the experimental and the ADMO values feed as trained data for developing a feed-forward back-propagation neural network (FFBP-NN). Three independent experiments confirmed the validity of the proposed methodology resulting in reasonable accuracy of all the performance metrics, making the proposed hybrid-modeling approach adequate for process multi-parameter multi-objective optimization 3D printing cases.
Resilience Misunderstood? Commenting on Germany’s National Security Strategy
Authors: Scharte Benjamin 
Published: November 2023

AbstractResilience features prominently in the new German National Security Strategy. But the strategy does not give an explicit definition of the term. In this commentary, I analyze the use of resilience in the strategy and show the links to prominent findings from resilience research. I use a disaster resilience point of view and show that the unspecific usage of resilience in the strategy could lead to undesirable consequences when implementing the strategy. Thus, in the implementation process the German government and the relevant public administration bodies should follow three recommendations resulting from resilience research. First, they should understand resilience as adaptive capacity and not as resistance. Second, they need to address conflicting goals, like efficiency versus resilience, explicitly. Third, they should give greater attention to social aspects of resilience, because empowering people but also taking their vulnerabilities seriously is decisive for making a society more resilient.
Attrition in Psychological mHealth Interventions for Young People: A Meta-Analysis
Authors: Prior Elise , Dorstyn Diana , Taylor Amanda , Rose Alice 
Published: November 2023

AbstractPsychological interventions provided via mobile, wireless technological communication devices (mHealth) are a promising method of healthcare delivery for young people. However, high attrition is increasingly recognised as a challenge to accurately interpreting and implementing the findings of mHealth trials. The present meta-analysis consolidates this research and investigates potential methodological, sociodemographic, and intervention moderators of attrition. A systematic search of MEDLINE, PsycInfo, and Embase was conducted. Study reporting quality was evaluated (QualSyst tool), and attrition rates (proportions) were calculated and pooled, using both random- and mixed-effects models. The pooled attrition rate, sourced from 15 independent samples (Nparticipants = 1766), was 17% (CI [9.14, 30.13]). This increased to 26% (CI [15.20, 41.03]) when adjusting for publication bias. Attrition was significantly higher among application-based interventions (26%, CI [14.56, 41.86]) compared to those delivered via text or multimedia message (6%, CI [1.88, 16.98]). These data were, however, characterised by significant between-study variance. Attrition in mHealth trials with young people is common but may be mitigated by using message-based interventions. Taken together, the results can provide guidance in accounting for attrition across future mHealth research, clinical practice, public policy, and intervention design. However, sustained research focus on the effectiveness of different engagement strategies is needed to realise mHealth’s promise of equitable and efficient healthcare access for young people globally.
Trustworthy Healthcare Cloud Storage Auditing Scheme (TCSHAS) with blockchain-based incentive mechanism
Authors: Bose Rajesh , Sutradhar Shrabani , Bhattacharyya Debnath , Roy Sandip 
Published: November 2023

AbstractThe Trustworthy Healthcare Cloud Storage Auditing Scheme (TCSHAS) represents a progressive solution for resolving trust-related issues linked to third-party auditors (TPAs) within traditional healthcare cloud storage audit systems. As the healthcare industry increasingly relies on cloud storage, concerns surrounding security and privacy have grown, motivating the development of a unique incentive mechanism. This mechanism leverages the non-tamperable and traceable features of blockchain technology to encourage TPAs to uphold honesty and reliability. By organizing TPAs as a group of nodes on the blockchain, a system of mutual surveillance is established, enabling diligent monitoring and penalization of any malicious actions. TCSHAS encompasses a comprehensive system model that incorporates smart contracts to manage transaction-related matters, including dispute resolution. Performance evaluations have confirmed its efficiency and suitability for real-world healthcare applications. Our experiments demonstrate that TCSHAS performs well in terms of gas consumption and exhibits scalability as the number of participant’s increases. Compared with other common smart contracts, TCSHAS maintains a balanced level of complexity, incorporates strong security measures, offers comprehensive auditing capabilities, and remains flexible. To further enhance our research, we can explore ways to optimize TCSHAS scalability and performance, such as through shading, as the volume of healthcare data continues to grow. In addition, we can investigate the integration of advanced privacy technologies or AI-based auditing. These advancements will reinforce the role of TCSHAS in establishing trust and security in healthcare cloud storage audits, making it highly relevant in real-world healthcare settings. Ultimately, TCSHAS contributes to improving trust and security in healthcare cloud storage auditing, ensuring responsible management of sensitive healthcare data.
Inference for Type-I and Type-II Hybrid Censored Minimal Repair and Record Data
Authors: Berzborn Moritz , Cramer Erhard 
Published: November 2023

AbstractIn this paper, hybrid censoring mechanisms are applied to minimal repair and record data. Based on the derivation of the joint distribution of such data under hybrid censoring, likelihood inference is discussed. For illustration, Type-I and Type-II hybrid censoring schemes are considered for exponential distributions. In particular, the exact (conditional) distribution of the maximum likelihood estimator is obtained for an exponential distribution. This result is used to construct exact (conditional) confidence intervals using the method of pivoting the cumulative distribution function. Finally, the results are illustrated using two data sets taken from the literature on minimal repair models. Although the discussion of the results is in terms of minimal repair models, the results can be applied directly to record value data. By utilizing a connection of minimal repair times to occurrence times of non-homogeneous Poisson processes, a nonparametric estimate for the intensity rate of the process and the underlying lifetime distribution under hybrid censoring is also proposed. The paper is supplemented by simulational results.
3D anatomical modelling and analysis of the spine
Authors: Paccini Martina , Patané Giuseppe , Spagnuolo Michela 
Published: November 2023

Abstract
Purpose
This work proposes 3D modelling and patient-specific analysis of the spine by integrating information on the tissues with geometric information on the spine morphology.

Methods
The paper addresses the extraction of 3D patient-specific models of each vertebra and the intervertebral space from 3D CT images, the segmentation of each vertebra in its three functional regions, and the analysis of the tissue condition in the functional regions based on geometrical parameters.

Results
Main results are the localisation, visualisation, quantitative, and qualitative analysis of possible damages for surgery planning and early diagnosis or follow-up studies.

Conclusions
The framework properties are discussed in terms of the spine’s morphology and pathologies on the spine district’s benchmarks.