bluuebunny/crossref_metadata_2025 huggingface dataset:
Methamphetamine Induces RIPK3 over Expression and Triggers of Akt-1/GSK3 Signaling Pathway in Amygdala in Postmortem User
Authors: Azimzadeh Zahra , Omidvari Samareh , Niknazar Somayeh , Vafaei-Nezhad Saeed , Ahmady Roozbahany Navid , Abdollahifar Mohammad-Amin , Tahmasebinia Foozhan , Mahmoudiasl Gholam-Reza , Abbaszadeh Hojjat Allah , Darabi Shahram
Published: May 2023

Methamphetamine (METH) has the potential to disrupt the activities of neurotransmitters in the Central Nervous System (CNS) and cause neurotoxicity through various pathways. These pathways include increased production of reactive nitrogen and oxygen species, hypothermia, and induction of mitochondrial apoptosis. In this study, we investigated the long-term effects of METH addiction on the structural changes in the amygdala of postmortem human brains, as well as the involvement of the CREB/BDNF and Akt-1/GSK3 signaling pathways. We examined ten male postmortem brains, comparing control subjects with chronic METH users, using immunohistochemistry, Real-time PCR (to measure levels of CREB, BDNF, Akt-1, GSK3, and TNF-α), Tunnel assay, stereology, and assays for ROS, GSSG, and GPX. The findings revealed that METH significantly reduced the expression of BDNF, CREB, Akt-1, and GPX, while increasing the levels of GSSG, ROS, RIPK3, GSK3, and TNF-α. Furthermore, METH was found to induce inflammation and neurodegeneration in the amygdala, with ROS production mediated by the CREB/BDNF and Akt-1/GSK3 signaling pathways.
Effect of Nitrogen Fertilization and Inoculation of Durum Wheat With Fusarium pseudograminearum on Yield, Technological Quality and Gluten Protein Composition
Authors: Sissons Mike , Egan Narelle , Simpfendorfer Steven
Published: May 2023

Abstract: In Australia adoption of reduced tillage and stubble retention cropping systems to conserve soil moisture by growers has seen an increase in the prevalence of the disease Fusarium crown rot (FCR) caused by the stubble-borne fungal pathogen Fusarium pseudograminearum. Durum wheat is particularly susceptible to FCR expressing significant yield and quality losses in the presence of infection. Increasing rates of nitrogen (N) application at sowing exacerbates FCR. However, to achieve the desired grain protein and quality suited to pasta manufacture, N application is necessary and this creates a dilemma for growers. The purpose of this study was to investigate the effects of FCR infection in the presence of different N fertiliser application rates in durum wheat varieties on yield and technological quality. Two durum varieties were evaluated at the same location over two seasons (2020 and 2021). These seasons were characterised by being wetter than normal and showed different responses to FCR and N application. In general, the 2021 season showed better responses to applied N with no impact of FCR. The FCR inoculation while it resulted in significant infection, it had no impacts on yield or grain quality in 2021 while in 2020 yield was reduced and only gluten index was reduced. Jandaroi was found to hold its kernel vitreosity at all protein levels obtaining the premium grade while DBA Lillaroi did not and would suffer downgrade if N application was insufficient. However, higher N application rates needed to achieve 12% + protein saw a reduction in dough strength with Jandaroi holding its dough strength much better than DBA Lillaroi. This was related to the lower glutenin/gliadin (Gli/Glu) ratio in response to applied N at sowing in Jandaroi which helped retain kernels with high vitreousness. This suggests genetics plays an important role in a genotype response to N fertilisation and should be considered when selecting a variety where higher premium grades are desirable.
Economic Challenges, One Health Concerns, and Other Contributing Causes of the World Egg Shortage
Authors: K Gunjan , Mukherjee Riya , Vidic Jasmina , Manzano Marisa , Leal Elcio , Ahmad Saheem , Alyahyawi Amjad R. , Raj V. Samuel , Pandey Ramendra , Chang Chung-Ming
Published: May 2023

Poultry eggs are a critical source of protein, vitamins, and minerals for people worldwide; facing the current global egg shortage is a significant concern. The shortage results from various factors, including avian flu outbreaks, changes in consumer demand, and supply chain disruptions caused by the COVID-19 pandemic. The economic crisis caused by the pandemic has also impacted the availability and affordability of eggs, particularly in low-income countries. The global egg shortage has implications for public health, particularly for vulnerable populations who rely on eggs for essential nutrients. One Health, an approach that recognizes the interconnectedness of human, animal, and environmental health, provides a useful framework for understanding and addressing the egg shortage. One Health approaches to the egg shortage involve collaboration between agriculture and environmental sectors to address the root causes of the lack and ensure the sustainable production and distribution of eggs. Addressing the global egg shortage requires a multifaceted approach considering the complex social, economic, and environmental factors. One Health perspectives offer a way to understand and address the interconnected factors contributing to the shortage to ensure access to affordable, nutritious eggs for all in a healthy way
EL PAPEL DE LOS ARCHIVOS PÚBLICOS COMO MECANISMO PARA EL ACCESO A LA INFORMACIÓN PÚBLICA EN MÉXICO
Authors: Moranchel Pocaterra Mariana
Published: May 2023

La investigación tiene por objeto señalar la importancia de contar con un sistema de archivos que facilite y garantice el acceso a la información pública, lo que dará lugar a que los poderes públicos transparenten su actuar como mecanismo de control de la corrupción. A tres años de la promulgación de la Ley General de Archivos, los retos que enfrenta la organización documental son importantes, para lograr un acceso casi inmediato a la información se requiere desarrollar e implementar técnicas documentales que faciliten el ejercicio de acceso a la información pública de manera efectiva a través del uso de las Tecnologías de la Información y Comunicación.
Implementasi Green Accounting dan Profitabilitas pada Perusahaan Consumer Goods Industry yang Tergabung dalam Indeks Saham Syariah Indonesia
Authors: Kamilia Umi , Martini Tina
Published: May 2023

This study aims to determine the impact of green accounting on the profitability of consumer goods industry companies included in the Indonesian Sharia Stock Index from 2017-2021. Green accounting is represented by environmental performance, costs, and disclosure. The annual reports of ISSI-member corporations in the consumer goods industry sector and the PROPER report from the Ministry of Environment and Forestry for 2017–2021 served as data sources. This research is a quantitative study with panel data regression analysis techniques. Sampling was conducted using a systematic sampling method. During the five-year observation period, the research sample consisted of eight companies that met predetermined requirements. Eviews 12 was used to process data. According to this study’s findings, environmental performance positively affects profitability. Meanwhile, environmental costs and disclosures have no appreciable impact on profitability.
Giga Passive Optical Network GPON over Fiber To The Home FTTH: Design, Implementation and Evaluation
Authors: Abdellaoui Zouhaira , MEDDEB Houda
Published: May 2023

Fiber To Home FTTH Access Network based on Giga Passive Optical Network (GPON) technology is one techniques that meet application performances requirements(high speed access networks, high bandwidth, Voice Over Internet Protocol “VOIP ,high speed internet). Actually, Telecom. Operators use FTTH networks based on GPON thanks to its flexibility in manipulation of extended technologies. GPON is intended to provide transmission speeds better than or equivalent to 1.2 Gbit/s. It deals with 2.44 Gbps downstream and 1.24Gbps upstream data transmission.
GPON is fundamental to support innovative and well-known services being discussed for residential subscribers and business customers owing to broadband capacity.
In the present paper, we discussed design, implementation of FTTH Network based on GPON technology and evaluation of the proposed architecture for residential and business solution
Fixed point iterations for nonexpansive maps and their applications to constrained minimization and feasibility problems in Hilbert spaces
Authors: AKEWE HUDSON , Sawyerr Babatunde A. , Fasina Ebunoluwa P.
Published: May 2023

The purpose of this study is to prove a faster iterative scheme than all of Thakur et al., Abbas and Nazir, Noor, Agarwal et al., Ishikawa, Picard-Mann, Mann and Picard iterations in the literature. The paper introduced three novel modified multistep iterative schemes (A), (B) and (C). Fixed point theorems are proven with these newly introduced multistep iterative schemes for the class of contraction mappings with fixed point p=Tp and nonexpansive mappings respectively. The rate of convergence was demonstrated numerically with the help of Python program and the results showed that our modified iterative scheme (C) converge in lesser number of iterations than existing iterative schemes in the literature. With the help of well constructed theorems, these modified multistep iterative schemes were applied to constrained minimization and split feasibility problems for the class of nonexpansive mappings in real Hilbert spaces.
How long do geomagnetic reversals take?
Authors: Heimpel Moritz , Evans Michael
Published: May 2023

The duration of magnetic field reversals at locations on Earth is variable, with estimates ranging from less than one hundred years [1–3] to thousands of years [4– 7]. Simple physical models of the reversal process predict short reversal duration near the poles, and longer duration near the equator [8, 9]. However, a compilation of palaeomagnetic observations finds the opposite [4]. Here we resolve this long-standing paradox using palaeomagnetic data and an Earthlike [10], reversing dynamo simulation. We identify two types of local reversals for a global magnetic reversal in our simulation. Simple local reversals (SLR) undergo a single polarity flip, with durations of 109 years – 2.32 kyr. Complex local reversals (CLR) flip more than once, with durations of 1.40 kyr – 13.2 kyr. While SLR occurrence and duration peaks near the equator and diminishes at mid-latitudes, CLR occurrence and duration peaks near the poles. Surprisingly, equatorial latitudes are free of CLR and polar regions are free of SLR. These results are consistent with the simple physical models and palaeomagnetic observations. We find that analysis of the local and global magnetic field behaviour in our dynamo model can reconcile the complex and seemingly contradictory picture of magnetic reversals that has emerged from the analysis of high-quality volcanic and sedimentary records.
Characterization and photocatalytic performance of cement mortars with incorporation of TiO2 and mineral admixtures
Authors: Lara Rancés Castillo , Xavier Gustavo de Castro , Canela Maria C. , Carvalho Juliana Alves , Alexandre Jonas , de Azevedo Afonso Rangel Garcez
Published: May 2023

As the main components of the building envelope, construction materials have a straight relation with air contaminants from anthropogenic origins. Titanium dioxide has been recently applied in construction industry products since its photocatalytic properties can be used for pollutant degradation purposes. This study evaluated the performance of cement-based mortars with the incorporation of TiO2 nanoparticles and mineral admixtures. Six mortar compositions were defined by considering two reference mixes (with and without TiO2 incorporation), two mineral admixtures (bentonite and metakaolin) as partial cement replacement and one waste from ornamental stone processing in two levels of partial substitution of natural sand. Consistency index, density, and entrained air content of mixtures were investigated at fresh state. Compressive strength, water absorption, sorptivity, and micrographs from scanning electron microscopy were used to characterize mortars at hardened state. It was observed that incorporation of TiO2 does not considerably change mortar's properties at fresh and hardened state, despite a denser microstructure and improved interfacial transition zone. In general, the relation between the water-to-cement ratio and porosity on the performances of TiO2-added mortars was shown, which is strongly related to their photocatalytic efficiency. Metakaolin mixtures were more efficient to NO conversion, and high selectivity was observed for the bentonite mortars.
Do Physics-informed Neural Networks Satisfy Local and Global Mass Balance?
Authors: Mamud M. L. , Mudunuru M. K. , Karra S. , Ahmmed B.
Published: May 2023

Physics-informed neural networks (PINN) have recently become attractive to solve partial differential equations (PDEs) that describe physics laws. By including PDE-based loss functions, physics laws such as mass balance are enforced softly. In this paper, we examine how well mass balance constraints are satisfied when PINNs are used to solve the resulting PDEs. We investigate PINN's ability to solve the 1D saturated groundwater flow equations for homogeneous and heterogeneous media and evaluate the local and global mass balance errors. We compare the obtained PINN's numerical solution and associated mass balance errors against a two-point finite volume numerical method and the corresponding analytical solution. We also evaluate the accuracy of PINN to solve the 1D saturated groundwater flow equation with and without incorporating hydraulic head as training data. Our results showed that one needs to provide hydraulic head data to obtain an accurate solution for the head for the heterogeneous case. That is, only after adding data at some collocation points the PINN methodology was able to give a solution close to the finite volume and analytical solutions. In addition, we demonstrate that even after adding hydraulic head data at some collocation points, the resulting local mass balance errors are still significant at the other collocation points compared to the finite volume approach. Tuning the PINN's hyperparameters such as the number of collocation points, epochs, and learning rate did not improve the solution accuracy or the mass balance errors compared to the finite volume solution. Mass balance errors may pose a significant challenge to PINN's utility for applications where satisfying physical and mathematical properties is crucial.
ADIPOQ gene (T45G and G276T) single nucleotide polymorphisms and their association with gestational diabetes mellitus in a Filipino population
Authors: Fernandez Lara Francesca , Pineda-Cortel Maria Ruth
Published: May 2023

Several studies have associated the presence of ADIPOQ gene polymorphisms with insulin resistance, adiponectin levels, and metabolic diseases such as diabetes, although with varying degrees of correlation depending on ethnicity. Here we aim to identify individual’s susceptibility to gestational diabetes mellitus (GDM) in the presence of T45G and G276T single nucleotide polymorphisms (SNPs) within the ADIPOQ gene among Filipino pregnant women. A total of 285 pregnant women (95 GDM cases and 190 controls) were included in this study. Two ADIPOQ gene polymorphisms were genotyped using TaqMan assay. Results of SNP genotyping showed no significant differences in the frequencies of TT, TG and GG genotypes of T45G SNP between the GDM and control group [p = 1.0000, 0.6179, 0.5797; OR (95%CI) = 1.030 (0.582–1.874), 1.135 (0.683–1.828), 0.833 (0.481–1.420)]. Similarly, the frequencies of GG, GT, and TT genotypes of G276T SNP were comparable in both groups [p = 0.8002, 1.0000, 0.3466; OR (95%CI) = 1.090 (0.654–1.785), 1.022 (0.616–1.665), 0.433 (0.092–1.698)]. Moreover, although adiponectin levels were significantly decreased in GDM group (p = 0.0196) and have shown substantial negative correlations with FBS, 1-hour OGTT, 2-hour OGTT, and HOMA-IR (p < 0.05), they were not significantly different according to genotypes of T45G and G276T polymorphisms both in GDM and control group. Our results suggest that neither of the two ADIPOQ gene polymorphisms influence adiponectin levels and development of GDM in a Filipino population.
Study on the influence of lining structure on seismic stability of deep buried tunnel based on FDM-DEM
Authors: Mao Wei , Jiang Chaoteng , Zhang Yongkang , Liu Xuejun , Muhemaier Ruheiyan , Xie Liangfu
Published: May 2023

Faults are prone to crack due to the influence of stratum dynamic load, and the research on the influence of different surrounding rock support schemes on load resistance is complicated. Based on the F2 fault in Tianshan, Xinjiang, this paper introduces the establishment of FDM-DEM coupling model and load application. The influence of anchor bolt support on the load resistance of secondary lining is studied by using the coupling model of Finite Difference Method (FDM) and Discrete Element Method (DEM) with different anchor bolt support schemes combined with dynamic and seismic loads. The results show that: (1) the increase of anchor bolt support length can effectively improve the dynamic load bearing capacity of surrounding rock. (2) Under earthquake load, the secondary lining is prone to collapse from arch waist to arch top and crack at arch foot. The effect of anchor bolt support on the internal force of secondary lining is less than that of anchor bolt support. (3) The internal force of secondary lining is mainly affected by load, and the increase of tension chain in secondary lining under dynamic load indicates that the secondary lining is mainly caused by tensile crack. This study provides an effective tool for the synthesis of seismic performance.
Not final yet: a minority of final stacks yields superior amplitude in single-particle cryo-EM
Authors: Zhu Jianying , Zhang Qi , Zhang Hui , Shi Zuoqiang , Hu Mingxu , Bao Chenglong
Published: May 2023

Cryo-electron microscopy (cryo-EM) is widely used to determine near-atomic resolution structures of biological macromolecules. Due to the extremely low signal-to-noise ratio, cryo-EM relies on averaging many images. However, a crucial question in the field of cryo-EM remains unanswered: how close can we get to the minimum number of particles required to reach a specific resolution in practice? The absence of an answer to this question has impeded progress in understanding sample behavior and the performance of sample preparation methods. To address this issue, we have developed a new iterative particle sorting and/or sieving method called CryoSieve. Extensive experiments demonstrate that CryoSieve outperforms other cryo-EM particle sorting algorithms, revealing that most particles are unnecessary in final stacks. The minority of particles remaining in the final stacks yield superior high-resolution amplitude in reconstructed density maps. For some datasets, the size of the finest subset approaches the theoretical limit.
Red cell molecular matching between autoimmune hemolytic anemia patients and blood donors
Authors: Cruz Bruno Ribeiro , Barros Melca Oliveira , Rabelo Iara Baldim , Silva Thamy Caroline de Souza , Chiba Akemi Kuroda , Moritz Elyse , Bordin José Orlando
Published: May 2023

Background Current blood-matching practices are challenging for patients with autoimmune hemolytic anemia (AIHA) because autoantibodies may interfere in hemagglutination assays. Blood group genotyping methods are an important complement to serology and allow the prediction of the phenotype from deoxyribonucleic acid (DNA) with high accuracy. Furthermore, technology for genotyping of red blood cell antigens in donor-recipient matching for blood group polymorphisms is moving into practice, mainly for patient groups with hemoglobinopathies. However, the routine use of antigen molecular matching for AIHA patients remains to be better determined. We hypothesized that performing the molecular matching between AIHA patients and blood donors could improve the selection of antigen-matched red blood cell units.
Methods Using the blood-MLPA assay, we determined the blood group genotype from 198 donors and 24 AIHA patients and performed the RBC molecular matching between the two groups. Besides, using the hemagglutination technique we performed the RBC phenotyping for major blood group antigens of AIHA patients and compare the phenotyping with the genotyping results.
Results: We were able to find RBC genotype-matched donors for 20/24 (83.3%) of our AIHA patients. From 118 phenotyping results, we found three (2.5%) discrepancies between the phenotype predicted by genotyping and the phenotype determined by serology.
Conclusions In this study, our data indicate the real benefits of RBC genotyping for AIHA patients who usually present problematic immunohematological serologic reactions. Such a strategy may present information about additional RBC alloantibodies and reduce the potential risk of transfusion reactions.
Sub-tropical Teleconnection Drives ‘Onset’ of Indian Summer Monsoon over Northeast India (NEI) in May.
Authors: Das Simanta , Goswami Dhruba Jyoti , Goswami B. N.
Published: May 2023

While recognizing that the length of the rainy season over northeast India (NEI) is much longer than June-September as over Central India (CI), the official onset of Indian summer monsoon over NEI is around 3rd June, and May rainfall is still considered ‘pre-monsoon’. We show that the climatological ‘onset’ over the NEI occurs around 11th May and is associated with 3–4 times increase in large-scale cyclonic vorticity over the region and a 5–6 times increase of northward moisture transport over North Bay of Bengal (BoB). Busting a myth, that May rainfall is ‘pre-monsoon’, we further show that the May rainfall is ‘monsoon’ rainfall and comes in spells longer than 5 days as in June and associated with large synoptic-scale low-level cyclonic vorticity. However, what drives the Onset of monsoon in May while the Intertropical Convergence Zone (ITCZ) is still close to the equator remained a puzzle. Here, we show that the early May ‘onset’ over NEI is forced by the winds at a low level associated with a climatological barotropic cyclonic vortex that interacts with the orography and sets up a large-scale heat source over NEI, accelerates northward moisture transport from Bay of Bengal (BoB), sustains the heat source and leads to ‘onset’ of monsoon over NEI. Delayed (early) onset over the NEI is due to the weakening (strengthening) of the climatological vortex through teleconnection with drivers like the El Nino and Southern Oscillation and Atlantic Nino. Our finding that a component of the Indian summer monsoon rainfall (ISMR) is unrelated to the ITCZ not only warrants a reexamination of the basic definition of South Asian Monsoon but also a revision of the prevailing notion of June-September as the Indian monsoon season over Northeast India (NEI) to May-September. The conclusions have important implications for prediction and predictability of the NEI climate.
Integrating single-cell and bulk RNA sequencing to identify TXNRD1 as effective target for prognostic and therapeutic strategy in Hepatocellular Carcinoma
Authors: Nie Junjie , Wang Haoyu , Tan Pei , Sun Huiling , Liu Xiangxiang , Gao Tianyi , Pan Yuqin , Wang Shukui
Published: May 2023

Thioredoxin reductase (TXNRD1) acts as part of a major enforcer of redox homeostasis in the intracellular environment. However, its prognostic value and the relationship between TXNRD1 and core ferroptosis-related genes in hepatocellular carcinoma remain unclear. Here, we systematically analyzed and described the potential function and prognostic value of TXNRD1 in hepatocellular carcinoma. TXNRD1 was aberrantly expressed in several cancer types including liver cancer, and elevated TXNRD1 expression was associated with tumor histological grade and pathologic stage, resulting in markedly shorter survival in these patients. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) results suggested that TXNRD1 is mainly involved in glucose and fat metabolism. Importantly, TXNRD1 may affect cancer prognosis partially by regulating ferroptosis. A prognostic model based on TXNRD1 and seven ferroptosis-related genes (ATG5, PCBP2, SLC7A11, ACSL6, SAT1, SLC40A1, and STEAP3) divided patients with liver cancer into the low-risk group and the high-risk group and was shown to be an independent risk factor for clinical application. We further found that patients with high-risk scores underwent an increased macrophage infiltration compared to patients with low-risk scores, which resulted in immune escape. In short, TXNRD1 is an overlooked predictor, which can be utilized as a candidate prognostic biomarker in liver cancer, and it may hold promise in drug-resistant patients.
A qualitative exploration of the impact of a Hospital Electronic Prescribing and Medicines Administration (HEPMA) protocol on junior doctor confidence and competence to prescribe end of life care medicines
Authors: McLean Ewan , McLean Amanda , Bennie Marion
Published: May 2023

Background
With Hospital Electronic Prescribing and Medicines Administration (HEPMA) systems now in widespread use across hospital inpatient clinical services, work is underway to measure the benefits of HEPMA on healthcare systems and patient care. HEPMA functionality enables users to prescribe medicines by ‘bundle’ or ‘protocol’; it is suggested that this is a significant system benefit, though there are few qualitative data to support this.
Aim
This study aimed to explore the impact of an electronic anticipatory care medicines protocol on junior doctor perceptions of their confidence and competence to prescribe opioids and midazolam for patients at the end of life.
Methods
Between May and August 2022, one-to-one semi-structured interviews were conducted at a 570-bed District General Hospital (DGH) with junior doctors who had experience of prescribing on both HEPMA and paper-based systems. Audio recordings of the interviews were transcribed verbatim and underwent thematic analysis.
Results
10 junior doctors participated (median age 23 years). Analysis generated five main themes that described perceptions and attitudes towards confidence and competence. These were prescribing safety benefits; IT infrastructure, interoperability and system design concerns; clinical knowledge and training needs; cultural and social factors and risks of automation in prescribing.
Conclusion
This study suggests that junior doctors experienced an overall increase in their confidence and competence to prescribe anticipatory medicines post-implementation of a HEPMA/CPOE protocol. Further studies are required to detail the impact of HEPMA/CPOE protocols on end-user clinical practice.
Transformers bridge vision and language to estimate and understand scene meaning
Authors: Hayes Taylor R. , Henderson John M.
Published: May 2023

Humans rapidly process and understand real-world scenes with ease. Our stored semantic knowledge gained from experience is thought to be central to this ability by organizing perceptual information into meaningful units to efficiently guide our attention in scenes. However, the role stored semantic representations play in scene guidance remains difficult to study and poorly understood. Here, we apply a state-of-the-art multimodal transformer trained on billions of image-text pairs to help advance our understanding of the role semantic representations play in scene understanding. We demonstrate across multiple studies that this transformer-based approach can be used to automatically estimate local scene meaning in indoor and outdoor scenes, predict where people look in these scenes, detect changes in local semantic content, and provide a human-interpretable account of why one scene region is more meaningful than another. Taken together, these findings highlight how multimodal transformers can advance our understanding of the role scene semantics play in scene understanding by serving as a representational framework that bridges vision and language.
Comparison of Missing Data Imputation Methods on Mixture Cure Survival Analysis Results in a Cardiovascular Disease Cohort
Authors: Ahmad Shokh Mukhtar , Muhammed Nawzad
Published: May 2023

The goal of this study was to investigate the effect of missing data in the covariate variable on the amount of lost information in the cure mixture survival analysis model. For this purpose, data from patients of a cardiovascular cohort in Sulaimani Hospital were used. In the case of missing completely at random, in six situations, include full data and 10% to 50% missing data, AIC and BIC values of the models were compared. The results showed that the behavior of these two indicators was the same in comparing the models. Also, the choice of the appropriate imputation method for cured mixture models depends on the rate of missing data. In 10% of missing, due to the low number of missing individuals, the simple method such as mean was the best method. But for higher percentages, hot deck and regression methods performed better. Also, due to the skewed distribution of patients' age data, in cases with a missing of more than 40%, the median has shown better performance.
"Discovering shine through feedback seeking"---Feedback seeking among new graduate nurses: a qualitative study
Authors: Song Ziling , Shen Yuanyuan , Yao Xin , Wen Siqi , Wang Jing , Chen Yanyan , Zhang Peihua , Huang Xiaoqiong
Published: May 2023

Background：Feedback is critical to improving practitioners' clinical practice and professional growth. Although new graduate nurses are still considered junior practitioners, their feedback-seeking experiences have yet to be investigated. This study aimed to understand the fundamental thoughts and experiences of new graduate nurses regarding feedback seeking and to identify the main factors that influence their feedback seeking behaviors.
Methods：In-depth interviews were conducted among newly graduated nurses using qualitative exploratory semi-structured interviews in four hospitals in the Zhejiang Province, China. Interview data were evaluated using Colaizzi 7-step phenomenological data analysis. The COREQ checklist was followed.
Results：From the data gathered, 13 categories emerged, which were then categorized into four central elements: (1) perceptions and attitudes, (2) drivers, (3) dilemmas and needs, and (4) transformation and growth.
Conclusion：This study empowers nursing administrators and educators to recognize the obstacles and demands of new graduate nurses seeking feedback and the need for special attention in developing strategies to encourage new graduate nurses’ feedback seeking behaviors and stabilize the new graduate nurse workforce. Nursing managers should be proficient at providing positive leadership; collaborate with clinical mentors to foster an atmosphere where new graduate nurses may obtain honest, transparent, and fair feedback; and exercise caution when providing negative feedback.
Genomes to Fields 2022 Maize Genotype by Environment Prediction Competition
Authors: Lima Dayane Cristina , Washburn Jacob D. , Varela José Ignacio , Chen Qiuyue , Gage Joseph L. , Romay Maria Cinta , Holland James , Ertl David , Lopez-Cruz Marco , Aguate Fernando M. , Campos Gustavo de los , Kaeppler Shawn , Beissinger Timothy , Bohn Martin , Buckler Edward , Edwards Jode , Flint-Garcia Sherry , Gore Michael A. , Hirsch Candice N. , Knoll Joseph E. , McKay John , Minyo Richard , Murray Seth C. , Ortez Osler A. , Schnable James C. , Sekhon Rajandeep S. , Singh Maninder P. , Sparks Erin E. , Thompson Addie , Tuinstra Mitchell , Wallace Jason , Weldekidan Teclemariam , Xu Wenwei , de Leon Natalia
Published: May 2023

Objectives:
The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (G x E) Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize G x E project field trials, leveraging the datasets previously generated by this project and other publicly available data.
Data description:
This resource used data from the Maize G x E project within the G2F Initiative [1]. The dataset included phenotypic and genotypic data of the hybrids evaluated in 45 locations from 2014 to 2022. Also, soil, weather, environmental covariates data and metadata information for all environments (combination of year and location). Competitors also had access to ReadMe files which described all the files provided. The Maize G x E is a collaborative project and all the data generated becomes publicly available [2]. The dataset used in the 2022 Prediction Competition was curated and lightly filtered for quality and to ensure naming uniformity across years.
Lessons for regulatory involvement – the involved patient experience in the MHRA ILAP project
Authors: Wilson Roger , Sotirelis Chris , Scanlon Miranda , Jones Steve
Published: May 2023

Background
The MHRA Innovative Licensing Access Pathway (ILAP) is a project designed to provide new medicines with a quicker route through the regulatory system and thus to patients. Public and patient involvement in ILAP was established by MHRA through a Public and Patient Reference Group (PPRG). This was done prior to publication of its PPI Strategy and ILAP is included in that Strategy.
What Happened
The PPRG was established within the ILAP programme to advise on patient engagement within the ILAP process. Some members also volunteered to attend meetings of the Steering Group from mid-2021 and took part in the review of pharmaceutical company applications for entry to ILAP. Over the course of two years, as the ILAP programme was extended, the number of the involved members fell, while experience grew and the input of those remaining became more valued. At the same time the MHRA was developing its PPI strategy and looking for ways to address the challenge of involvement across the considerable breadth of its activities.
Conclusion
Public and patient involvement in the ILAP project has been positive, facilitated by MHRA staff and their colleagues from ILAP partner organisations. Patients’ knowledge and experience from their previous involvement in medicines development and other research has contributed to the ILAP process. It has clearly demonstrated that experienced patient advocates can address issues which lie outside their personal ‘lived experience’ and which may also be innovative and scientifically challenging. However, the corporate communication with PPRG members has been variable. Members of the group were not consulted when MHRA reviewed the ILAP programme or included in discussions about the future of patient involvement in ILAP or later successor programmes. Decisions on other factors, such as whether patient advocates should be paid for their time, as is the case in other agencies, have been deferred.
Weather-like forcing in population mortality rates
Authors: Vissio Gabriele
Published: May 2023

Weather affects population dynamics in multiple ways, especially considering dramatic phenomena such as meteorological extreme events. In this paper we make use of a six-dimensional dynamical system, built joining the three-species Hastings-Powell model and the three-dimensional Lorenz 84 model, which depicts the atmospheric circulation in broad terms, to investigate the effect of perturbing the death rate of primary and secondary consumers with a weather-like forcing. We find that this model provides a qualitative, weather-based explanation for real-world phenomena such as irregularities in a species' cycle, asynchronicity between different species' cycles, and increase of pest population due to extreme events.
Effects of improving cognitive function and depression among older adults with mild cognitive impairment in Taiwan using expressive arts therapy
Authors: Yao Ching-Teng
Published: May 2023

Older adults with mild cognitive impairment (MCI) are at increased risk of progression to dementia. Whether it is feasible to engage this population in expressive arts therapy and yield effects on cognition and depression for older adults with MCI remained unclear. The aim of this study examined the effects of expressive arts therapy on the cognitive function and depression levels of older adults with MCI in day care centers in Taiwan. A quasi-experimental design was conducted in a sample of day care centers older adults with MCI. A total of 88 participants with MCI were assigned to the intervention or comparison group. The intervention groups participated in an expressive arts therapy for twelve weeks in addition to their daily activities. Data were collected at the baseline point and immediately after post-intervention. Generalized estimating equations were used to examine the effect of the intervention on the outcomes. At week twelve, Findings indicated that the intervention group had significant improvement in cognitive function and depression over time than the comparison group. These findings provide evidence for the feasibility and efficacy of expressive arts therapy intervention in older adults with MCI.
An erythrocyte membrane-derived nanosystem for efficient reversal of endothelial injury in sepsis
Authors: Zhang Yao , Li Jian , Qi Jing , Chen Ziying , Wang Kai , Sun Chuanzheng
Published: May 2023

Background: Sepsis is caused by a disordered host immune in response to infection and endothelial cells (ECs) perform a crucial role in boosting immunity reaction in the pathophysiology of sepsis and organ failure. The aim of this study is to construct a novel erythrocyte membrane-derived nanosystems to reverse endothelial damage in sepsis.
Results: Herein, we generated a nanometer calcium organometallic framework (Ca-MOF) by using chelidonic acid as a ligand and calcium chloride as an ion donor for anti-inflammation. Then, zoliflodacin was loaded into Ca-MOF (CMZ) to sterilize, and nanoscale erythrocyte membrane vesicles were prepared by modification with a γ3 peptide on the surface (γ3-RM) for precise targeting. Finally, the novel erythrocyte membrane-camouflaged nanoparticle γ3-RCMZ was synthesized. The superior performance of novel nanosystem results from its suitable biocompatibility, nontoxicity, specific targeting, and anti-inflammatory and bactericidal effects. Its mechanism mainly involves the Caspase1-NFκB pathway and oxidative stress reduction to alleviate endothelial damage. Moreover, our findings revealed for the first time that the bactericidal drug zoliflodacin also had anti-inflammatory effects in vivo and in vitro.
Conclusions: Basing on the suitable biocompatibility, nontoxicity, specific targeting, and anti-inflammatory and bactericidal effects, the novel nanosystem (γ3-RCMZ) provides a new nanotherapy strategy for sepsis treatment.
Keywords: Metal-organic frame; Nanodrug delivery system; Sepsis; Endothelial injury; Erythrocyte membrane
Non-specific Ventilatory Defect Predicts Nocturnal Hypoxemia in Subjects with Obesity
Authors: Lalani Ishan , Shimizu Shoji , Qadir Faisal , Ayache Mirna
Published: May 2023

Although nocturnal hypoxemia has been linked to obesity, the relationship between spirometry parameters and nocturnal oxygen saturation (SpO2) has not been well studied in subjects with obesity.
This a retrospective cross-sectional chart review of adult patients with obesity, who had PFT (pulmonary function tests) and diagnostic polysomnogram within 6 months between 2017-2019.
A total of 227 patients were included in the analysis, of which 69% were females and 43.8% were African Americans. In the absence of obstruction on spirometry, FEV1 (forced expiratory volume in first second) and FVC (forced vital capacity) were associated with lower mean nocturnal SpO2. Non-specific ventilatory defect on PFTs was associated with increased odds of having a mean nocturnal SpO2 <92% compared to normal spirometry, and lung volumes (OR:2.15,95%CI:1.02-4.5,p=0.042) with adjustment for age, sex, BMI (body mass index).
Non-specific PFT pattern should prompt screening for sleep symptoms and considering a polysomnogram in subjects with obesity.
Breaking Boundaries: TINTO in POKY for Computer Vision-Based NMR Walking Strategies
Authors: Giraldo Andrea Estefania Lopez , Werner Zowie , Rahimi Mehdi , Lee Woonghee
Published: May 2023

Nuclear Magnetic Resonance is a crucial technique for studying biological complexes, as it provides precise structural and dynamic information at the atomic level. However, the process of assigning resonances can be time-consuming and challenging, particularly in cases where peaks overlap, or the data quality is poor. In this paper, we present TINTO (Two and three-dimensional Imaging for NMR sTrip Operation via CV/ML), an advanced semiautomatic toolset for NMR resonance assignment. TINTO comprises two separate tools, each tailored for either two-dimensional or three-dimensional imaging. The toolset utilizes a computer-vision approach and a machine learning approach, specifically Structural Similarity Index (SSIM) and Principal Components Analysis (PCA), to perform visual similarity searches of resonances and quickly locate similar strips, and in that way overcome the challenges associated with peak overlap without requiring peak picking. Our tool offers a user-friendly interface and has the potential to enhance the efficiency and accuracy of NMR resonance assignment, particularly in complex cases. This advancement holds promising implications for furthering our understanding of biological systems at the molecular level. TINTO is pre-installed in the POKY suite, which is available at https://poky.clas.ucdenver.edu.
Risk and UCON-based Access Control Model for Healthcare Big Data
Authors: Jiang Rong , Chen Xue , Yu Yimin , Zhang Ying , Ding Weiping
Published: May 2023

The rapid development of healthcare big data has brought certain convenience to medical research and health management, but privacy protection of healthcare big data is an issue that must be considered in the process of data application. Access control is one of the methods for privacy protection, but traditional access control models cannot adapt to the dynamic, continuous, and real-time characteristics of healthcare big data scenarios. In this paper, we propose an access control model based on risk quantification and usage control (RQ-UCON). The model adds a risk quantification module to the traditional UCON model to achieve privacy protection of medical data. This module classifies risks into direct and indirect risks and quantifies them based on the physician's visit history. The model stores the quantified risk values as subject attributes. The RQ-UCON model uses an improved Exponentially Weighted Moving Average (EWMA) and penalty factors to predict risk value and to update the risk values of the subject attributes in real-time. The RQ-UCON model uses agglomerative hierarchical clustering to cluster the risk values of physicians within the department, resulting in risk intervals for each physician's operational behavior. Each risk interval is stored as a condition in the RQ-UCON model. Finally, according to the model whether the subject attributes meet the model conditions to determine whether the subject has the corresponding access rights, and according to the risk interval to grant the subject the corresponding access rights. Through the final experiment, it can be seen that the access control model proposed in this paper has a certain control on the excessive access behavior of doctors and has a certain limitation on the privacy leakage of healthcare big data.
Bone Metabolism Markers in the Serum of Patients With Thoracic and Lumbar Injuries
Authors: Shulga Aleksey E. , Ostrovskij Vladimir V.
Published: May 2023

We analyzed the serum enzyme immunoassay findings of 100 patients varied in gender and age with consequences of thoracic and lumbar spine injuries to evaluate concentrations of systemic bone metabolism markers in fractures of thoracic and lumbar vertebrae, and revealed a sensitive and specific laboratory criterion for predicting the rate of resorption-plastic processes in bone regenerate.
An amplicon-based approach for fast and scalable genome sequencing of lumpy skin disease virus on benchtop next-generation sequencers
Authors: Bhoyar Rahul C. , Jolly Bani , Vignesh Harie , Bhatt Lenin , Senthivel Vigneshwar , Israni Ravi , Scaria Vinod , Sivasubbu Sridhar
Published: May 2023

Lumpy Skin Disease (LSD) is a viral disease predominantly affecting cattle and caused by a poxvirus belonging to the capripoxvirus genus. LSD is characterized by extensive cutaneous lesions, with severe consequent morbidity and sometimes mortality of the affected animal. Timely diagnosis and control of the spread of infections through measures including vaccination are therefore of great importance in preventing social and economic consequences of the disease. Genomic studies from outbreaks in the past have provided unique insights including the identification of recombinant variants in recent years. Genome sequencing and genomic surveillance of the disease therefore could provide useful insights into the evolution and epidemiology of the virus and could potentially also contribute to the development of diagnostic tools. Previous approaches for genome sequencing of the virus used a variety of approaches including amplicon-based sequencing as well as metagenomic approaches, which are tedious, time-consuming as well as costly. The wide availability of benchtop next-generation sequencing equipment and the application of sequencing-based approaches to enable genomic epidemiology of SARS-CoV-2 at scale, motivated us to create an amplicon-based approach based on the Illumina COVIDSeq assay1. for fast, scalable and cost-effective sequencing of the Lumpy Skin Disease Virus. This protocol is a modification of the previously published COVIDSeq assay 1 and can be adapted to any Illumina sequencing platform as an accelerated and scalable system for quick detection as well as genomic surveillance of LSD.
For complete details on the use and execution of this protocol, please refer to Bhatt et al. (2023).2
WITHDRAWN: A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural Networks
Authors: SinhaRoy Rajarshi , Sen Anupam
Published: May 2023

A major research subject in recent times is Alzheimer’s disease (AD) due to the growth and considerable societal impacts on health. So, the detection of AD is essential for medication care. Early detection of Alzheimer’s disease (AD) is critical for effective treatment and monitoring the time period between normal aging’s unavoidable cognitive loss & dementia’s more catastrophic degradation is common practice. The deep learning method for early diagnosis and automated categorization of Alzheimer’s disease (AD) has suddenly gained a lot of attention since rapid advancement in the field of GANs approaches has now been used in the clinical research sector. Many recent studies using brain MRI images and convolutional neural networks (CNN) to identify Alzheimer’s disease have yielded promising results. Instead of adequately engaging with the lack of Real data, many research papers have focused on prediction. The main purpose of this paper is to do this by generating synthetic MRI images using a series of DCGANs. This paper demonstrates the effectiveness of this concept by cascading DCGANs that imitate different stages of Alzheimer’s disease & utilizing SRGANs to enhance the resolution of MRI scans. The purpose of this research is to come forward and tell if an individual might just get Alzheimer’s disease. CNN, DCGANs, and SRGANs are used in this paper to present a Deep Learning-based approach that improves classification and prediction accuracy to 99.7% and also handles the lack of data and the resolution of data.