bluuebunny/crossref_metadata_2025_split huggingface dataset:
L-carnitine Modulates Cognitive Impairment Induced by Doxorubicin and Cyclophosphamide in Rats; Insights to Oxidative Stress, Inflammation, Synaptic Plasticity, Liver/brain, and Kidney/brain Axes
Authors: Morid Olivia Fayez , Menze Esther T. , Tadros Mariane G. , George Mina Y. 
Published: May 2023

AbstractChemotherapy-induced cognitive impairment in cancer patients is known as "chemobrain". Doxorubicin and Cyclophosphamide are two chemotherapeutic agents used in combination to treat solid tumors. L-carnitine was reported for its anti-oxidant and anti-inflammatory activities. The goal of the present study was to elucidate the neuroprotective effect of L-carnitine against chemobrain induced by Doxorubicin and Cyclophosphamide in rats. Rats were divided into five groups: Control group; Doxorubicin (4mg/kg, IV) and Cyclophosphamide (40mg/kg, IV)-treated group; two L-carnitine-treated groups (150 and 300mg/kg, ip) with Doxorubicin and Cyclophosphamide; and L-carnitine alone-treated group (300mg/kg). Doxorubicin and Cyclophosphamide induced histopathological changes in rats’ hippocampi and prefrontal cortices, as well as reduced memory as evidenced by behavioural testing. L-carnitine treatment showed opposite effects. In addition, chemotherapy treatment enhanced oxidative stress via reducing catalase and glutathione levels, and inducing lipid peroxidation. By contrast, L-carnitine treatment showed powerful antioxidant effects reversing chemotherapy-induced oxidative damage. Moreover, chemotherapy combination induced inflammation via their effect on nuclear factor kappa B (p65), interleukin-1β, and tumor necrosis factor-α. However, L-carnitine treatment corrected such inflammatory responses. Furthermore, Doxorubicin and Cyclophosphamide reduced synaptic plasticity via hindering expression of brain-derived neurotrophic factor, phosphorylated cyclase response element binding protein, synaptophysin, and postsynaptic density protein 95 whereas protein expression of such synaptic plasticity biomarkers was enhanced by L-carnitine treatment. Finally, acetylcholinesterase activity was found to be enhanced by chemotherapy treatment affecting rats’ memory while L-carnitine treatment reduced acetylcholinesterase activity. L-carnitine also showed hepatoprotective and renal protective effects suggesting liver/brain and kidney/brain axes as possible mechanisms for its neuroprotective effects.
Graphical Abstract
Microglia Signaling Pathway Reporters Unveiled Manganese Activation of the Interferon/STAT1 Pathway and Its Mitigation by Flavonoids
Authors: Mossine Valeri V. , Waters James K. , Sun Grace Y. , Gu Zezong , Mawhinney Thomas P. 
Published: May 2023

AbstractNeuroinflammatory responses to neurotoxic manganese (Mn) in CNS have been associated with the Mn-induced Parkinson-like syndromes. However, the framework of molecular mechanisms contributing to manganism is still unclear. Using an in vitro neuroinflammation model based on the insulated signaling pathway reporter transposon constructs stably transfected into a murine BV-2 microglia line, we tested effects of manganese (II) together with a set of 12 metal salts on the transcriptional activities of the NF-κB, activator protein-1 (AP-1), signal transducer and activator of transcription 1 (STAT1), STAT1/STAT2, STAT3, Nrf2, and metal-responsive transcription factor-1 (MTF-1) via luciferase assay, while concatenated destabilized green fluorescent protein expression provided for simultaneous evaluation of cellular viability. This experiment revealed specific and strong responses to manganese (II) in reporters of the type I and type II interferon-induced signaling pathways, while weaker activation of the NF-κB in the microglia was detected upon treatment of cells with Mn(II) and Ba(II). There was a similarity between Mn(II) and interferon-γ in the temporal STAT1 activation profile and in their antagonism to bacterial LPS. Sixty-four natural and synthetic flavonoids differentially affected both cytotoxicity and the pro-inflammatory activity of Mn (II) in the microglia. Whereas flavan-3-ols, flavanones, flavones, and flavonols were cytoprotective, isoflavones enhanced the cytotoxicity of Mn(II). Furthermore, about half of the tested flavonoids at 10–50 μM could attenuate both basal and 100–200 μM Mn(II)-induced activity at the gamma-interferon activated DNA sequence (GAS) in the cells, suggesting no critical roles for the metal chelation or antioxidant activity in the protective potential of flavonoids against manganese in microglia. In summary, results of the study identified Mn as a specific elicitor of the interferon-dependent pathways that can be mitigated by dietary polyphenols.
Effects of gamma frequency binaural beats on attention and anxiety
Authors: Leistiko Natalya Marie , Madanat Louay , Yeung Wing Kwan Antonia , Stone James M. 
Published: May 2023

AbstractBinaural beats (BB) are an auditory phenomenon produced from a combination of two sine waves with slightly different frequencies presented to each ear. Previous research has implicated the role of BBs through brainwave entrainment in potentially giving rise to benefits ranging from enhanced memory and attention to reduced anxiety and stress. Here, we investigated the effect of gamma (40-Hz) BBs on attention using the attention network test (ANT), a previously unused task that assesses three subtypes of attention: Alerting, Orienting, and Executive Control.Fifty-eight healthy adults performed the ANT remotely under the exposure of 340-Hz BBs and a 380-Hz control tone. All completed a rating scale for levels of anxiety before and after each exposure. Performance on the ANT task (reaction time and error rates) between BB and control groups was evaluated using Wilcoxon signed-rank tests.We found no significant differences in Reaction Time (RT), Error Rate (ER), or the efficacy of the Attention Networks (AN) between the experimental and control conditions (p > 0.05). We found no effect of BB on self-rated measures of anxiety. Our findings do not provide evidence for improvement in attention with gamma BB.
Blockchain technology in e-business value chains
Authors: Witt Josepha , Schoop Mareike 
Published: May 2023

AbstractIn electronic business (e-business), innovative technologies such as blockchain technology (BCT) have a fundamental impact on activities along the value chain. The perspective of the value chain in the context of blockchain technology has been explored, but contributions are mainly focused on supply chain management and tangible goods. Hence, the e-business domain lacks research, even though many beneficial features for service value chains and the transaction of intangible goods exist. Therefore, the current paper focuses on (1) how and why value chain activities are supported by using BCT and (2) how the stakeholder’s responsibilities change for value chain activities that are affected by BCT. A multiple case analysis of four e-business cases, i.e., Theta, OpenBazaar, Presearch, and Crypviser, is conducted. Based on four ideal value chains by Wirtz (2019) (cf. 4C-Net Model), steps that depend on BCT or that are supported by BCT are outlined. By conducting a cross-case analysis, we derive eight blockchain technology propositions that enlarge the existing knowledge base.
Early surgery? In-house mortality after proximal femoral fractures does not increase for surgery up to 48 h after admission
Authors: Fenwick Annabel , Pfann Michael , Antonovska Iana , Mayr Jakob , Lisitano Leonhard , Nuber Stefan , Förch Stefan , Mayr Edgar 
Published: May 2023

Abstract
Purpose
The economic cost linked to the increasing number of proximal femur fracture and their postoperative care is immense. Mortality rates are high. As early surgery is propagated to lower mortality and reduce complication rates, a 24-h target for surgery is requested. It was our aim to determine the cut-off for the time to surgery from admission and therefore establish a threshold at which the in-house mortality rate changes.

Methods
A retrospective single-center cohort study was conducted including 1796 patients with an average age of 82.03 years treated operatively for a proximal femoral fracture between January 2016 and June 2020. A single treatment protocol was performed based on the type of anticoagulant, surgery, and renal function. Patient data, surgical procedure, time to surgery, complications, and mortality were assessed.

Results
In-house mortality rate was 3.95%, and the overall complication rate was 22.7%. A prolonged length of hospital stay was linked to patient age and occurrence of complications. Mortality is influenced by age, number of comorbidities BMI, and postoperative complications of which the most relevant is pneumonia. The mean time to surgery for the entire cohort was 26.4 h. The investigation showed no significant difference in mortality rate among the two groups treated within 24 h and 24 to 48 h while comparing all patients treated within 48 h and after 48 h revealed a significant difference in mortality.

Conclusions
Age and number of comorbidities significantly influence mortality rates. Time to surgery is not the main factor influencing outcome after proximal femur fractures, and mortality rates do not differ for surgery up to 48 h after admission. Our data suggest that a 24-h target is not necessary, and the first 48 h may be used for optimizing preoperative patient status if necessary.
Design of a Learning Development Program to Support First-Year Undergraduate Medical Students in the Transition to a PBL Curriculum
Authors: Kebaetse Masego B. , Conteh Brigid , Kebaetse Maikutlo , Mokone Gaonyadiwe George , Nkomazana Oathokwa , Mogodi Mpho S. , Wright John , Falama Rosemary , Winston Kalman 
Published: May 2023

AbstractWhile the evaluation of learning development interventions needs to be considered carefully and included at the curriculum design stage, there is limited literature on the actual design of interventions, especially on how these designs evolve and improve over time. This paper describes the evolution of a learning development program intended to support first-year medical students adjusting to a problem-based learning curriculum. We used a design-based research approach, articulating our theoretical grounding and incorporating students’ voices to develop an “optimal” intervention for the specific challenges in our context. We describe lessons learned around four aspects: students’ growth and development, teachers’ professional growth and development, program design principles, and the emergent components of a learning development program. Overall, our students describe the Learning Success Program as adding value by enabling the adoption of a repertoire of skills and strategies for learning management. Additionally, the incremental nature of design-based research allowed for the development of a context-specific program that considers students’ voices through needs assessment and feedback on the program offerings. It has also provided an opportunity for the professional development of teachers through feedback from classroom practice, reflection, and the literature.
First-Year Engineering Students’ Interpretations of Differentials and Definite Integrals
Authors: Nilsen Hans Kristian , Knutsen Kristoffer Heggelund 
Published: May 2023

AbstractIn this paper we focus on Norwegian first-year engineering students’ interpretations of differentials and definite integrals. Through interviews with 15 engineering students, we investigated how the students interpreted the different symbols involved in the Fundamental Theorem of Calculus (FTC), as displayed in the textbook used in their calculus course. Through the students’ reflections, we aimed to gain insight into the students’ interpretations of differentials, infinitesimals, and limits, and how these concepts were used to interpret the definite integral. Despite a rather rigorous limit-based approach to definite integrals, provided in teaching and in the students’ textbook, we observed that most students offered conceptual interpretations closer linked with an infinitesimal approach, in terms of integrals being regarded as sums of narrow bars, in line with Leibniz.
What’s behind increasing wage inequality? Explaining the Italian case using RIF-OLS
Authors: Giangregorio Luca , Fana Marta 
Published: May 2023

AbstractThis paper aims to identify how and to what extent the Italian labour market structure, in terms of job composition and institutional changes, shaped the dynamics of wages and wage inequality in the decade between 2007 and 2017. We investigate the main determinants behind the rise in wage inequality in Italy by using Recentered Influence Function (RIF) regressions. This econometric approach allows—on the one hand—to directly assess the effects on the unconditional distribution and on “beyond the mean” statistics, like the Gini coefficient. On the other, it decomposes inequality into endowment and wage effects, following the standard Oaxaca-Blinder technique. We observe that working structures and institutional changes—contractual arrangements (permanent vs temporary contracts) and working hours (full-time vs part-time)—are the main factors in explaining the deterioration in wages at the bottom of the income distribution scale, and the consequent increase in wage inequality.
Acting between professional rules and financial resources in the field of work-oriented basic education
Authors: Arbeiter Jana 
Published: May 2023

AbstractThis paper considers the powerful decision-making process in programme planning in work-oriented basic education by focusing the analysis on the disposition rights of the participating actors and their respective interests. The study is defined by a theoretical interconnecting of Educational Governance and assumptions of the structuration theory according to Giddens. Thus, disposition rights are allocative and authoritative resources as well as normative and cognitive rules which define the actions of the actors and, on the other hand, can be changed by their actions. A secondary analysis of 14 expert interviews was conducted in order to answer the research question how actors legitimise their actions and decisions in the context of developing work-oriented basic education programmes. The results reveal asymmetrical power constellations and at the same time show the dynamic of a programme planning process in terms of a duality of structures.
Machinability of High Mn Steel Using Tool Life Criteria
Authors: Handayani Dika , Okhuysen Victor F. , Wagner Nicole 
Published: May 2023

AbstractHigh Mn steel alloys have shown to provide both high strength and ductility. However, current literature offers limited guidance on the machinability of these steel alloys. Therefore, this work provides turning recommendations for high Mn steel that is based on tool life data. Several indexable carbide inserts with various rake angles were used to machine cast billets of high Mn steel. Turning characteristics from various feed rates, cutting speeds, and depths of cut were analyzed. Through a design of experiments, it was determined that the feed rate was the most significant factor affecting tool life and that a tool with a negative rake angle had a longer tool life than one with a positive rake angle. The effect of coolant on tool life was seen to be dependent on the tool material. Optimal cutting conditions, which provided a long tool life while maintaining a decent material removal rate, were found for a cutting speed of 150 ft/min, a feed rate of 0.008 in/rev, and a depth of cut of 0.080 inches. In addition, microhardness analysis was used to determine the thickness of the work-hardened layer on machined surfaces. Microhardness was seen to increase between 0.028 and 0.040 inches from the machined surfaces for each cutting condition, explaining the difficulty experienced in machining high Mn steel alloys. The availability of these recommendations for machining high Mn steel encourages the application of this material in a more efficient and productive manner.
The risk of aggregating networks when diffusion is tie-specific
Authors: Larson Jennifer M. , Rodriguez Pedro L. 
Published: May 2023

AbstractEmpirical studies of the spread of something through social networks, a process often called diffusion, tend to rely on network data assembled from the measurement of multiple kinds of social ties. These can be different kinds of relationships, such as friendship and kinship, or different instances of concrete interactions, such as borrowing money and eating meals together. Aggregating multiple measures of ties into a single social network has become standard practice, typically done by taking a union of the various tie types. Although this has intuitive appeal, we show that in many realistic cases, this approach adds sufficient error to bias and mask true network effects. We further demonstrate that the problem depends on: (1) whether the diffusion occurs generically or in a tie-specific way, and (2) the extent of overlap between the measured network ties. Aggregating multiple measures of ties when diffusion is tie-specific and overlap is low will, on average, attenuate and potentially mask network effects that are in fact present.
Stable volumes for persistent homology
Authors: Obayashi Ippei 
Published: May 2023

AbstractThis paper proposes a stable volume and a stable volume variant, referred to as a stable sub-volume, for more reliable data analysis using persistent homology. In prior research, an optimal cycle and similar ideas have been proposed to identify the homological structure corresponding to each birth-death pair in a persistence diagram. While this is helpful for data analysis using persistent homology, the results are sensitive to noise. The sensitivity affects the reliability and interpretability of the analysis. In this paper, stable volumes and stable sub-volumes are proposed to solve this problem. For a special case, we prove that a stable volume is the robust part of an optimal volume against noise. We implemented stable volumes and sub-volumes on HomCloud, a data analysis software package based on persistent homology, and show examples of stable volumes and sub-volumes.
Anomalous Viscosity, Aggregation, and Non-Ergodic Phase of Laponite® RD in a Water–Methanol Binary Solvent
Authors: Tiwari Preeti , Bohidar Himadri B. , Das Avik , Bahadur Jitendra , Arfin Najmul 
Published: May 2023

AbstractStudy of the behavior of landfill lining materials (clays) in organic solvents is important because, in waste management, lining prevents groundwater contamination by the adsorption of various pollutants such as chemicals and organic solvents. Although scaling behavior and the self-association property of clays in water-alcohol binary solvents have been studied by many researchers, the anomalous behavior of Laponite XLG in binary solvents requires investigation as suggested by previous studies. In the present study, Laponite® RD, which is structurally similar to Laponite XLG, was used to gain further insight into the reasons for the anomalous viscosity, aggregation, and non-ergodic behavior of clay in a water–methanol binary solvent. Dynamic light scattering (DLS) revealed the emergence of the non-ergodic phase of 3% w/v Laponite® RD in the water–methanol binary solvent, which increased in the presence of a large methanol content as well as with aging time in the binary solvent. Viscosity measurements further indicated that aggregation was responsible for the non-ergodic behavior, and small-angle X-ray scattering (SAXS) revealed that a large methanol content enhanced the aggregation. Moreover, SAXS data also revealed that the surface charge was responsible for anomalous viscosity fluctuations in the binary solvent due to interparticle repulsion within aggregates. Rheological studies showed that the large methanol content in the binary solvent led to frequency-independent behavior of the storage modulus of Laponite® RD.
Proton pump inhibitor-induced gut dysbiosis and immunomodulation: current knowledge and potential restoration by probiotics
Authors: Kiecka Aneta , Szczepanik Marian 
Published: May 2023

AbstractProton pump inhibitors (PPIs) are the most commonly prescribed drugs for the treatment of non-erosive reflux disease (NERD), ulcers associated with non-steroidal anti-inflammatory drugs (NSAIDs), esophagitis, peptic ulcer disease (PUD), Zollinger–Ellison syndrome (ZES), gastroesophageal reflux disease (GERD), non-ulcer dyspepsia, and Helicobacter pylori eradication therapy. The drugs have the effect of inhibiting acid production in the stomach. According to research, PPIs can affect the composition of gut microbiota and modulate the immune response. Recently, there has been a problem with the over-prescription of such drugs. Although PPIs do not have many side effects, their long-term use can contribute to small intestinal bacterial overgrowth (SIBO) or C. difficile and other intestinal infections. Probiotic supplementation during PPIs therapy may provide some hope in the reduction of emerging therapy side effects. This review aims to present the most important effects of long-term PPI use and provides critical insights into the role of probiotic intervention in PPI therapy.
Depressive symptoms and their association with age, chronic conditions and health status among middle-aged and elderly people in peri-urban Tanzania
Authors: Stieglitz Laura-Marie , Adams Leslie B. , Bärnighausen Till , Berghöfer Anne , Kazonda Patrick , Killewo Japhet , Leyna Germana H. , Lohmann Julia , Rohr Julia K. , Kohler Stefan 
Published: May 2023

Abstract

Background
Depression is a global mental health challenge. We assessed the prevalence of depressive symptoms and their association with age, chronic conditions, and health status among middle-aged and elderly people in peri-urban Dar es Salaam, Tanzania.

Methods
Depressive symptoms were measured in 2,220 adults aged over 40 years from two wards of Dar es Salaam using the ten-item version of the Center of Epidemiologic Studies Depression Scale (CES-D-10) and a cut-off score of 10 or higher. The associations of depressive symptoms with age, 13 common chronic conditions, multimorbidity, self-rated health and any limitation in six activities of daily living were examined in univariable and multivariable logistic regressions.

Results
The estimated prevalence of depressive symptoms was 30.7% (95% CI 28.5–32.9). In univariable regressions, belonging to age groups 45–49 years (OR 1.35 [95% CI 1.04–1.75]) and over 70 years (OR 2.35 [95% CI 1.66–3.33]), chronic conditions, including ischemic heart disease (OR 3.43 [95% CI 2.64–4.46]), tuberculosis (OR 2.42 [95% CI 1.64–3.57]), signs of cognitive problems (OR 1.90 [95% CI 1.35–2.67]), stroke (OR 1.56 [95% CI 1.05–2.32]) and anemia (OR 1.32 [95% CI 1.01–1.71]) and limitations in activities of daily living (OR 1.35 [95% CI 1.07–1.70]) increased the odds of depressive symptoms. Reporting good or very good health was associated with lower odds of depressive symptoms (OR 0.48 [95% CI 0.35–0.66]). Ischemic heart disease and tuberculosis remained independent predictors of depressive symptoms in multivariable regressions.

Conclusion
Depressive symptoms affected almost one in three people aged over 40 years. Their prevalence differed across age groups and was moderated by chronic conditions, health status and socioeconomic factors.