bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling the Complex Interplay: Dynamics of Job Displacement and Evolution of Artificial Intelligence in a Socio-Economic Landscape
Authors: Idrisi M. Javed , Geteye Delelegn , Shanmugasundaram P. 
Published: May 2024

AbstractThis research explores the intricate dynamics of job displacement resulting from artificial intelligence (AI) using a sophisticated non-linear dynamical system modeled through the Lotka-Volterra equations, commonly employed in ecology to elucidate predator–prey dynamics. In this study, we interpret human jobs as the “prey” and AI technology as the “predator,” identifying two equilibrium points: E1 ≡ (0, 0) signifies a state with no jobs and no AI technology, while E2 ≡ (s/β, r/α) denotes a balanced coexistence where job growth and AI development are in equilibrium. Qualitative analysis reveals four regions characterized by different trends in job expansion and AI development, with Region IV indicating a co-evolutionary phase marked by positive feedback. Stability analysis demonstrates that while E1 remains consistently unstable, E2 remains stable, providing valuable insights into system dynamics. Scenarios presented suggest a promising future where balanced growth fosters sustainable coexistence between human workers and AI, although challenges arise when AI outpaces human job growth, emphasizing the necessity of effective policy responses to mitigate adverse effects and maximize the benefits of technological advancement. Understanding these dynamics is crucial for policymakers to navigate the complexities of AI-induced job displacement and ensure equitable societal outcomes.
Glycerol 3-phosphate dehydrogenases (1 and 2) in cancer and other diseases
Authors: Oh Sehyun , Mai Xuan Linh , Kim Jiwoo , de Guzman Arvie Camille V. , Lee Ji Yun , Park Sunghyouk 
Published: May 2024

AbstractThe glycerol 3-phosphate shuttle (GPS) is composed of two different enzymes: cytosolic NAD+-linked glycerol 3-phosphate dehydrogenase 1 (GPD1) and mitochondrial FAD-linked glycerol 3-phosphate dehydrogenase 2 (GPD2). These two enzymes work together to act as an NADH shuttle for mitochondrial bioenergetics and function as an important bridge between glucose and lipid metabolism. Since these genes were discovered in the 1960s, their abnormal expression has been described in various metabolic diseases and tumors. Nevertheless, it took a long time until scientists could investigate the causal relationship of these enzymes in those pathophysiological conditions. To date, numerous studies have explored the involvement and mechanisms of GPD1 and GPD2 in cancer and other diseases, encompassing reports of controversial and non-conventional mechanisms. In this review, we summarize and update current knowledge regarding the functions and effects of GPS to provide an overview of how the enzymes influence disease conditions. The potential and challenges of developing therapeutic strategies targeting these enzymes are also discussed.
The epigenetic regulators EP300/CREBBP represent promising therapeutic targets in MLL-rearranged acute myeloid leukemia
Authors: Wu Wenqi , Jiang Yanan , Xing Donghui , Zhai Yixin , Sun Huimeng , He Xiang , Luo Kaiping , Xu Pengpeng , Pan Feng , Dong Guolei , Ren Guibing , Zhao Zhigang 
Published: May 2024

AbstractAcute myeloid leukemia (AML) with mixed-lineage leukemia (MLL) gene rearrangements (MLL-r) is an aggressive subtype of blood cancer with dismal prognosis, underscoring the urgent need for novel therapeutic strategies. E1A-binding protein (EP300) and CREB-binding protein (CREBBP) function as essential transcriptional coactivators and acetyltransferases, governing leukemogenesis through diverse mechanisms. Targeting EP300/CREBBP holds great promise for treating leukemia with some certain cytogenetic abnormalities. Here, we demonstrated that EP300 and CREBBP are core epigenetic regulators in the pathogenesis of MLL-r AML through assaying the transposase-accessible chromatin with high-throughput sequencing (ATAC-seq). Knocking-out EP300/CREBBP and inhibitor (A-485) treatment depressed the MLL-r cells proliferation, while the MLL wild-type cells remained uninfluenced. We found that the CDK4/RB/E2F axis was downregulated specifically in MLL-r AML cell after A-485 treatment by RNA-seq, western blot and cut-tag analyses. EP300/CREBBP inhibitor selectively exerted potent anti-leukemia activity through blocking the MLL-r-BET complex binding to H3K27Ac modification on critical genes loci, distinct from global histone acetylation. Collectively, our study identified EP300/CREBBP as a critical epigenetic driver of MLL-r leukemia and validated their therapeutic potential through targeting inhibition, offering a promising avenue for improving clinical outcomes in this aggressive leukemia.
The role of IFI16 in regulating PANoptosis and implication in heart diseases
Authors: Chang Xindi , Wang Bei , Zhao Yingli , Deng Bing , Liu Ping , Wang Yiru 
Published: May 2024

AbstractInterferon Gamma Inducible Protein 16 (IFI16) belongs to the HIN-200 protein family and is pivotal in immunological responses. Serving as a DNA sensor, IFI16 identifies viral and aberrant DNA, triggering immune and inflammatory responses. It is implicated in diverse cellular death mechanisms, such as pyroptosis, apoptosis, and necroptosis. Notably, these processes are integral to the emergent concept of PANoptosis, which encompasses cellular demise and inflammatory pathways. Current research implies a significant regulatory role for IFI16 in PANoptosis, particularly regarding cardiac pathologies. This review delves into the complex interplay between IFI16 and PANoptosis in heart diseases, including atherosclerosis, myocardial infarction, heart failure, and diabetic cardiomyopathy. It synthesizes evidence of IFI16’s impact on PANoptosis, with the intention of providing novel insights for therapeutic strategies targeting heart diseases.
Social and environmental transmission spread different sets of gut microbes in wild mice
Authors: Raulo Aura , Bürkner Paul-Christian , Finerty Genevieve E. , Dale Jarrah , Hanski Eveliina , English Holly M. , Lamberth Curt , Firth Josh A. , Coulson Tim , Knowles Sarah C. L. 
Published: May 2024

AbstractGut microbes shape many aspects of organismal biology, yet how these key bacteria transmit among hosts in natural populations remains poorly understood. Recent work in mammals has emphasized either transmission through social contacts or indirect transmission through environmental contact, but the relative importance of different routes has not been directly assessed. Here we used a novel radio-frequency identification-based tracking system to collect long-term high-resolution data on social relationships, space use and microhabitat in a wild population of mice (Apodemus sylvaticus), while regularly characterizing their gut microbiota with 16S ribosomal RNA profiling. Through probabilistic modelling of the resulting data, we identify positive and statistically distinct signals of social and environmental transmission, captured by social networks and overlap in home ranges, respectively. Strikingly, microorganisms with distinct biological attributes drove these different transmission signals. While the social network effect on microbiota was driven by anaerobic bacteria, the effect of shared space was most influenced by aerotolerant spore-forming bacteria. These findings support the prediction that social contact is important for the transfer of microorganisms with low oxygen tolerance, while those that can tolerate oxygen or form spores may be able to transmit indirectly through the environment. Overall, these results suggest social and environmental transmission routes can spread biologically distinct members of the mammalian gut microbiota.
Probing single electrons across 300-mm spin qubit wafers
Authors: Neyens Samuel , Zietz Otto K. , Watson Thomas F. , Luthi Florian , Nethwewala Aditi , George Hubert C. , Henry Eric , Islam Mohammad , Wagner Andrew J. , Borjans Felix , Connors Elliot J. , Corrigan J. , Curry Matthew J. , Keith Daniel , Kotlyar Roza , Lampert Lester F. , Mądzik Mateusz T. , Millard Kent , Mohiyaddin Fahd A. , Pellerano Stefano , Pillarisetty Ravi , Ramsey Mick , Savytskyy Rostyslav , Schaal Simon , Zheng Guoji , Ziegler Joshua , Bishop Nathaniel C. , Bojarski Stephanie , Roberts Jeanette , Clarke James S. 
Published: May 2024

AbstractBuilding a fault-tolerant quantum computer will require vast numbers of physical qubits. For qubit technologies based on solid-state electronic devices1–3, integrating millions of qubits in a single processor will require device fabrication to reach a scale comparable to that of the modern complementary metal–oxide–semiconductor (CMOS) industry. Equally important, the scale of cryogenic device testing must keep pace to enable efficient device screening and to improve statistical metrics such as qubit yield and voltage variation. Spin qubits1,4,5 based on electrons in Si have shown impressive control fidelities6–9 but have historically been challenged by yield and process variation10–12. Here we present a testing process using a cryogenic 300-mm wafer prober13 to collect high-volume data on the performance of hundreds of industry-manufactured spin qubit devices at 1.6 K. This testing method provides fast feedback to enable optimization of the CMOS-compatible fabrication process, leading to high yield and low process variation. Using this system, we automate measurements of the operating point of spin qubits and investigate the transitions of single electrons across full wafers. We analyse the random variation in single-electron operating voltages and find that the optimized fabrication process leads to low levels of disorder at the 300-mm scale. Together, these results demonstrate the advances that can be achieved through the application of CMOS-industry techniques to the fabrication and measurement of spin qubit devices.
A comparative study on performance of the conventional and fixed-bed membrane bioreactors for treatment of Naproxen from pharmaceutical wastewater
Authors: Mokhtariazar Akbar , Hassani Amir Hessam , Borghei Mahdi , Massoudinejad Mohamadreza 
Published: May 2024

AbstractHere, a comparative study was designed to survey the treatment efficiency of pharmaceutical wastewater containing Naproxen by Membrane bioreactor (MBR) and MBR with fixed-bed packing media (FBMBR). To this end, the performance of MBR and FBMBR in different aeration conditions including average DO (1.9–3.8 mg/L), different organic loading (OLR) (0.86, 1.14 and 1.92 kg COD per cubic meter per day), and Naproxen removal efficiency. The BOD5 removal efficiency, effluent quality and membrane fouling were monitored within 140 days. The results obtained from the present study indicated that COD removal efficiency for FBMBR (96.46%) was higher than that for MBR (95.33%). In addition, a high COD removal efficiency was experienced in both MBR and FBMBR in operational conditions 3 and 4, even where OLR increased from 1.14 to 1.92 kgCOD/m3 d and DO decreased from 4 to < 1 mg/L. Furthermore, the higher Naproxen removal efficiency was observed in FBMBR (94.17%) compared to that for MBR (92.76%). Therefore, FBMBR is a feasible and promising method for efficient treatment of pharmaceuptical wastewater with high concentrations of emerging contaminant, especially, the Naproxen.
Prefrontal cortex activity and functional organisation in dual-task ocular pursuit is affected by concurrent upper limb movement
Authors: Borot Lénaïc , Ogden Ruth , Bennett Simon J. 
Published: May 2024

AbstractTracking a moving object with the eyes seems like a simple task but involves areas of prefrontal cortex (PFC) associated with attention, working memory and prediction. Increasing the demand on these processes with secondary tasks can affect eye movements and/or perceptual judgments. This is particularly evident in chronic or acute neurological conditions such as Alzheimer’s disease or mild traumatic brain injury. Here, we combined near infrared spectroscopy and video-oculography to examine the effects of concurrent upper limb movement, which provides additional afference and efference that facilitates tracking of a moving object, in a novel dual-task pursuit protocol. We confirmed the expected effects on judgement accuracy in the primary and secondary tasks, as well as a reduction in eye velocity when the moving object was occluded. Although there was limited evidence of oculo-manual facilitation on behavioural measures, performing concurrent upper limb movement did result in lower activity in left medial PFC, as well as a change in PFC network organisation, which was shown by Graph analysis to be locally and globally more efficient. These findings extend upon previous work by showing how PFC is functionally organised to support eye-hand coordination when task demands more closely replicate daily activities.
Effects of cold spray on thirst, frequency of oral care, and pain of general surgery intensive care unit patients
Authors: Gungor Serap , Tosun Betul , Candir Gozde , Ozen Nurten 
Published: May 2024

AbstractThis study aims to investigate the effects of intraoral cold water spray on thirst, frequency of oral care and postoperative period pain at surgical incision site in patients having abdominal surgery. The study was carried out as a randomized controlled trial, registered under Clinical Trial Number: NCT05940818. The study involved 110 participants, divided equally into two groups (n = 55): the experimental group and the control group. Data were collected using patient information form, NRS, Intensive Care Oral Care Frequency Assessment Scale (ICOCFAS) and Visual Analog Scale (VAS). The severity of thirst at 1st, 8th, 16th h of post-operative period (p < 0.01) and the frequency of oral care application at 16th h were statistically significantly decreased in the experimental group when compared to the control group (p < 0.01).There wasn’t statistically significant difference between the patients in the experimental and control groups in terms of pain at surgical incision site (p > 0.05). The patient’s thirst and need for frequent oral care in the postoperative period were reduced by the application of a cold water spray. In patients undergoing abdominal surgery, the use of cold water spray application may be recommended to reduce thirst and the need for frequency of oral care application.
5G-enabled, battery-less smart skins for self-monitoring megastructures and digital twin applications
Authors: Lynch Charles , Adeyeye Ajibayo , Abbara El Mehdi , Umar Ashraf , Alhendi Mohammed , Minnella Chris , Iannotti Joseph , Stoffel Nancy , Poliks Mark , Tentzeris Manos M. 
Published: May 2024

AbstractWith the current development of the 5G infrastructure, there presents a unique opportunity for the deployment of battery-less mmWave reflect-array-based sensors. These fully-passive devices benefit from having a larger detectability than alternative battery-less solutions to create self-monitoring megastructures. The presented ‘smart’ skin sensor uses a Van-Atta array design enabling ubiquitous local strain monitoring for the structural health monitoring of composite materials featuring wide interrogation angles. Proof-of-concept prototypes of these ‘smart’ skin millimeter-wave identification tags, that can be mounted on or embedded within common materials used in wind turbine blades, present a highly-detectable radar cross-section of − 33.75 dBsm and − 35.00 dBsm for mounted and embedded sensors respectively. Both sensors display a minimum resolution of 202 $$\upmu $$
μ
-strain even at 40$$^{\circ }$$

∘

off-axis enabling interrogation of the fully-passive sensor at oblique angles of incidence. When interrogated from a proof-of-concept reader, the fully-passive, sticker-like mmID enables local strain monitoring of both carbon fiber and glass fiber composite materials. The sensors display a repeatable and recoverable response over 0–3000 $$\upmu $$
μ
-strain and a sensitivity of 7.55 kHz/$$\upmu $$
μ
-strain and 7.92 kHz/$$\upmu $$
μ
-strain for mounted and embedded sensors, respectively. Thus, the presented 5G-enabled battery-less sensor presents massive potential for the development of ubiquitous Digital Twinning of composite materials in future smart cities architectures.
Assessing risk of stroke after idiopathic sudden sensorineural hearing loss using data from general practice
Authors: Oussoren Fieke K. , Schermer Tjard R. , Horn Leonie R. , van Leeuwen Roeland B. , Bruintjes Tjasse D. 
Published: May 2024

AbstractThe cause of sudden sensorineural hearing loss (SSNHL) remains unknown in a significant number of cases, but vascular involvement in its pathophysiology has been proposed. Our study aimed to assess the incidence of stroke following idiopathic SSNHL (iSSNHL) and to evaluate associated cardiovascular risk factors and comorbidities. We extracted electronic medical record data from iSSNHL patients aged ≥ 50 years retrospectively from 84 general practices. Patients were matched for age, sex and general practice in a 1:4 ratio to controls. Primary outcome was the 5-years stroke risk following iSSNHL diagnosis. 480 iSSNHL cases could be matched to 1911 controls. The hazard ratio for iSSNHL compared with controls was 1.25 (95%CI 0.50–3.27; P = 0.646) for CVA (cerebrovascular accident) alone and 0.92 (95% CI 0.50–1.71; P = 0.804) for CVA and TIA (transient ischemic attack) combined. The hazard ratio for the interaction term between iSSNHL and age ≥ 60 years was 4.84 (95% CI 1.02–23.05; P = 0.048) for CVA and TIA combined. Patients with iSSNHL used antihypertensives and beta-blocking agents more frequently than controls (P = 0.006 and P = 0.022, respectively). In conclusion, no overall significant difference in the risk of stroke was observed, but the hazard ratio for stroke increased in iSSNHL patients aged 60 and older, suggesting potential vascular involvement in older subjects presenting with sudden sensorineural hearing loss.
Farmer’s climate smart livestock production adoption and determinant factors in Hidebu Abote District, Central Ethiopia
Authors: Ayal Desalegn Yayeh , Mamo Bassa 
Published: May 2024

AbstractThis study aimed to identify the status, determining factors, and challenges in adopting climate smart livestock production practices by farmers. Three-staged sampling techniques were used to select the research sites and 233 sample farmer household respondents. Data were collected mainly using a pre-tested structured questionnaire. Key informant interviews and focus group discussions were also conducted to complement the household survey data. Descriptive statistics and an ordered logistic regression model were applied to analyze the quantitative data. The result revealed that the most adopted practices were composting (85.41%) and manure management (70.39%) while the least adopted technologies were biogas generation (3.86%) and rotation grazing (22.32%). The adoption status of the sampled farmers was also categorized into low (19.74%), medium (67.81%), and high adopter (12.45%). The high cost of improved breed, use of manure for fuel, free grazing, lack of information and awareness were the major constraints to adopting the climate smart livestock production technologies. The result also revealed that education, grazing land, total livestock holding, and extension agent contact contributed significantly and positively to the adoption of smart livestock production technology, while the distance from the water source had an insignificant and negative effect on the adoption status of climate smart livestock production practices. The study suggests the relevance of the cooperation of stakeholders and strengthening extension services for the maximum benefits of climate smart livestock production.
Novel risk index integrating practical operation limits enhances probabilistic contingency ranking for large-scale photovoltaic plant planning
Authors: Elazab Rasha , El-Aser Mohamed K. , El-samahy Adel A. 
Published: May 2024

AbstractThis research addresses the pressing need for heightened grid security amid increasing uncertainties in photovoltaic PV generation. The research problem lies in the limitations of conventional contingency analysis metrics, failing to adequately consider both contingency occurrences and uncertainties inherent in PV generation. In response, a comprehensive algorithm is proposed that introduces a novel severity function framework, enhancing traditional contingency ranking metrics. This approach incorporates grid remedial actions and refines line and bus voltage classification by considering available correction time, aiming to offer a more robust security assessment. Motivated by the imperative to address uncertainty in PV generation, the proposed work builds on established analysis tools. A probabilistic load flow algorithm manages PV generation uncertainties, utilizing historical data for contingency incidence uncertainty. Additionally, a probabilistic model for PV plants integrates historical solar data, deriving hourly probability density functions to meet grid code requirements, including reactive power considerations. The justification for this work lies in the algorithm's demonstrated efficacy, validated on the IEEE 14-bus network. Results highlight its ability to identify risks associated with line overloading and bus voltage breaches. Comparative evaluations underscore proper coupling buses for security, favoring distributed capacity to mitigate line overloading risks. The study's key results emphasize voltage risk amplification with reactive power omission, stressing the significance of compensation strategies. This research addresses a critical problem, presenting a comprehensive algorithmic solution to enhance grid security amidst uncertainties in PV integration. Findings offer valuable insights for strategically interaction between large scale PV plants and electrical grid, contributing to an improved grid security paradigm in a dynamic and uncertain energy model.
A comprehensive study of the shielding ability from ionizing radiation of different mortars using iron filings and bismuth oxide
Authors: Al-Saleh Wafa M. , Elsafi Mohamed , Almutairi Haifa M. , Nabil Islam M. , El-Nahal M. A. 
Published: May 2024

AbstractThe current work discusses the radiation attenuation capability and different shielding characteristics of different mortar samples. The samples were prepared by replacing different percentages of fine aggregate with iron filling and replacing different percentages of hydrated lime with Bi2O3 (0–50 wt.%). The prepared mortar samples are coded as CHBFX where X = 0, 10, 30, and 50 wt.%. The mass and linear attenuation coefficient was determined experimentally using a narrow beam technique, where a high purity germanium detector, and different point gamma-ray sources (such as Am-241, Cs-137, and Co-60). The linear attenuation coefficient was also calculated using the Monte-Carlo simulation code and the online Phy-X/PSD software. The comparison of the three methods showed a good agreement in the results. The linear attenuation coefficient drops from 19.821 to 0.053 cm−1 for CHBF0, from 27.496 to 0.057 cm−1 for CHBF10, from 42.351 to 0.064 cm−1 for CHBF30, and from 55.068 to 0.071 cm−1 for CHBF50 at photon energy range from 0.015 to 15 MeV. The half-value layer thickness, tenth-value layer thickness, and mean free path of the prepared mortar composites were also calculated photon energy ranged from 0.015 to 15 MeV. The fast neutron removal cross-section of the prepared CHBFX mortar samples have values of 0.096 cm−1, 0.098 cm−1, 0.103 cm−1, and 0.107 cm−1 for the mortar samples CHBF0, CHBF10, CHBF30, and CHBF50, respectively. The results showed that the mortar sample with the highest iron filing concentration, CHBF50, provides the best protection against gamma rays and fast neutrons which could be used in the nuclear and medical fields.