bluuebunny/crossref_metadata_2025 huggingface dataset:
Health Outcomes Following Covid-19 Infection and Vaccination in Hereditary Hemorrhagic Telangiectasia
Authors: Tarulli Christopher M. , Ma Xiayi , Chokar Kamalprit , Vozoris Nicholas T. , Clancy Marianne S. , Faughnan Marie E.
Published: December 2023

Background: There has been concern that individuals living with Hereditary Hemorrhagic Telangiectasia (HHT) could be at higher risk for poor outcomes if infected with SARS-CoV2, the virus that causes COVID-19 disease. As literature is lacking on outcomes on COVID-19 infection and vaccination in HHT, the objectives of this study were to determine and assess outcomes in HHT, as well as quantify vaccination rates and vaccination side effects in a large cohort of individuals with HHT.
Method: Individuals previously recruited to OUR HHT Registry at St. Michael’s Hospital, Toronto were contacted for participation in this study. Data were collected during annual assessment through a series of questionnaires asking specifically about HHT complications, treatments, and symptom management, along with COVID infection and vaccination data.
Results: Of the 262 subjects recruited to the registry, 215 (82%) have been contacted at least once regarding COVID-19 related inquiries between April 2020 and August 2022. Forty-nine COVID-19 infections were reported in 47/215 (21.9%) individuals. Among 47 patients with recorded COVID-19 infection, 2/47 (4.3%) required urgent care and 7/47 (14.9%) were hospitalized following infection. Of the 7 individuals who were hospitalized, 3 (42.9%) required new supplemental oxygen. Zero deaths were reported due to COVID-19 infection.
COVID vaccination history was available in 147/215 (68.4%). Of these, 135/147 (91.8%) of individuals reported vaccination and side effects were mild.
Discussion: While our sample population is much like the general HHT population with regards to gender, HHT symptoms, and genetics, study limitations including survivor bias, lack of vaccine effectiveness assessment, and participant reported data should be acknowledged.
Conclusion: Our results suggest that HHT patients are not at higher risk of severe infection with COVID-19 compared to the general population. Vaccination rates are high with only mild side effects being observed.
The Association of Regular Dog Walking with Mobility, Falls and Fear of Falling in Later Life.
Authors: Gallagher Eleanor , Lavan Amanda , Kenny Rose Anne , Briggs Robert
Published: December 2023

Purpose
To assess whether regular dog walking was associated with reduced likelihood of falls, fear of falling and mobility problems in a large cohort of community-dwelling older people.
Methods
Participants aged ≥60 years at TILDA Wave 5 were included. Regular dog walking was ≥4 days/week.
Falls and fear of falling were by self-report. Mobility was measured with Timed-Up-and-Go (TUG).
Logistic Regression models assessed the association between regular dog walking and outcomes of interest.
Results
Regular dog walkers had a significantly faster TUG (10.3 (10.1-10.5) vs 11.7 (11.1-12.2) seconds) and a lower likelihood of unexplained falls (OR 0.59 (0.37–0.95; p=0.028), fear of falling (OR 0.78 (95% CI 0.63–0.96); p=0.022) and mobility problems (0.60 (0.40–0.92); p=0.017) in fully-adjusted models.
Discussion
While longitudinal studies are required, older people should be encouraged to continue regular walking their dog where feasible as it may reduce the risk of falls and mobility problems.
Urban and Rural Disparities in the Availability of Diabetes Prevention Programs in US Hospitals
Authors: Hughes Allyson , Sri Shyamkumar , Franz Berkeley , Cronin Cory
Published: December 2023

Purpose
Type 2 diabetes is a global pandemic, with 1 in 6 people expected to be diagnosed by 2050. The Diabetes Prevention Program (DPP) is an evidence-based program that has been shown to reduce A1c and bolster health outcomes in people with type 2 diabetes and prediabetes, but implementation has been varied, with lower uptake in rural communities. The study assessed whether there are geographic disparities between rural and urban communities in hospital-supported DPPs in the US.
Methods
We assessed DPPs in 3,204 general medical hospitals. Data on hospital and county characteristics came from the American Hospital Association (AHA) Annual Survey, the Area Health Resource File, and County Health Rankings. We assessed geographic differences between hospitals with and without DPPs using t-tests and chi-square tests. Rurality was determined based on the 2013 Rural-Urban Continuum Codes (RUCC). We then conducted a multivariable analysis to assess the relationship between geographic location and the presence of a DPP, independent of hospital, county, and population characteristics.
Findings
In the unadjusted model, hospitals located in counties with lower population density had significantly lower odds of offering DPP (OR = .93, 95% CI: .0.91, 0.96). After controlling for organizational and community characteristics, population density was no longer a significant predictor of DPP. Larger hospitals had higher odds of offering DPP (OR = 1.002, 95% CI: 1.001, 1.002) as did both nonprofit (OR = 3.25, 95% CI: 2.46, 4.30) and public hospitals (OR = 3.10, 95% CI: 2.24, 4.30) as compared to their for-profit counterparts. Hospitals in the South (OR = .65, 95% CI: .53, .79) and Western (OR = .77, 95% CI: .62, .95) regions of the United States had lower odds of offering diabetes prevention programs in comparison to hospitals located in the Midwest.
Conclusions
DPP implementation is less common in rural and underserved areas. These programs are also less common in smaller hospitals. The interaction between resources and hospital location is helpful for understanding barriers to program implementation.
Guns, Germs, and Slaves: an Alternative View of the Colonial Origins of Comparative Development
Authors: ARCAND JEAN LOUIS , Sylvan David , Aladysheva Anastasia , Gadjanova Elena
Published: December 2023

This paper shows that early colonial interactions between Europeans and indigenous populations, specifically the deaths of the latter, have long-term effects on economic development. We propose an alternative view on the historical origins of comparative development, arguing for links between pre-colonial conditions, colonial-era practices, and growth centuries later. We explore the decades of first contact between Europeans and the indigenous population for both violence against that population and the type of political-economic regime established. These violence and regime consequences affected the strength or weakness of property-protecting institutions, with the latter in turn influencing per capita income today. JEL: O43, O47, N40
Nudge-Based Misinformation Interventions are Effective in Information Environments with Low Misinformation Prevalence
Authors: Butler Lucy H. , Prike Toby , Ecker Ullrich K. H.
Published: December 2023

Nudge-based misinformation interventions are presented as cheap and effective ways to reduce the spread of misinformation online. However, despite online information environments typically containing low volumes of misinformation, most studies testing the effectiveness of nudge interventions present equal proportions of true and false information. As the effectiveness of nudges can be highly context-dependent, it is imperative to validate the effectiveness of nudge-based interventions in environments with more realistic proportions of misinformation. The current study (N = 1387) assessed the effectiveness of a combined accuracy and social-norm nudge in simulated social-media environments with varying proportions of misinformation (50%, 20%, and 12.5%). The nudge intervention was effective at improving engagement behavior in all conditions, including those with a lower proportion of misinformation. These findings provide ecologically valid support for the use of nudge-based interventions to counter misinformation propagation on social-media platforms.
An integer programming approach for determining optimal building height
Authors: Egozcue Martin
Published: December 2023

Building height is of crucial importance in architectural design. In this paper, we develop an integer programming model to determine the optimal number of stories in high-rise buildings. This model relies on the analysis of profit cash flow over time. The practical insights of our proposal are illustrated through a real-world case study involving a hypothetical development in Punta del Este, Uruguay. A sensitivity analysis of the variables that exert a more significant impact on the optimal height is studied as well.
A novel α,β-unsaturated ketone inhibits leukemia cell growth as PARP1 inhibitor
Authors: Zhao Weijia , Mo Min , Yu Jia , Cheng Sha , Long GuiPing , Luo ZhiQiong , Liang Wei , Yan Chen , Luo Heng , Sun Baofei
Published: December 2023

Leukemia is a malignant disease of the hematopoietic system, in which clonal leukemia cells accumulate and inhibit normal hematopoiesis in the bone marrow and other hematopoietic tissues as a result of uncontrolled proliferation and impaired apoptosis, among other mechanisms. In this study, the anti-leukemic effect of a compound (SGP-17-S) extracted from Chloranthus multistachys, a plant with anti-inflammatory, antibacterial and anti-tumor effects, was evaluated. The effect of SGP-17-S on the viability of leukemic cell was demonstrated by MTT assay, cell cycle and apoptosis were assessed by flow cytometry using PI staining and Annexin V/PI double staining. Combine network pharmacology and cellular thermal shift assay (CETSA) with western blot were used to validate agents that act on leukemia targets. The results showed that SGP-17-S inhibited the growth of leukemia cells in a time- and dose-dependent manner. SGP-17-S blocked HEL cells in the G2 phase, induced apoptosis, decreased Bcl-2 and caspase-8 protein expression, and increased Bax and caspase-3 expression. In addition, CETSA revealed that PARP1 is an important target gene for the inhibition of HEL cell growth and SGP-17-S exerted its action on leukemia cells by targeting PARP1. Therefore, this study might provide new solutions and ideas for the treatment of leukemia.
Assessing the impact of Delta and Omicron in German intensive care units: a retrospective multistate analysis based on nationwide inpatient billing data
Authors: Lottes Matthäus , Grodd Marlon , Grabenhenrich Linus , Wolkewitz Martin
Published: December 2023

Background
The spread of several severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) variants of concern (VOC) repeatedly led to increasing numbers of coronavirus disease 2019 (COVID-19) patients in German intensive care units (ICUs), resulting in capacity shortages and even transfers of COVID-19 intensive care patients between federal states in late 2021. In this respect, there is limited evidence on the impact of predominant VOC in German ICUs on the population level.
Methods
A retrospective cohort study was conducted from July 01, 2021, to May 31, 2022, using nationwide inpatient billing data from German hospitals on COVID-19 intensive care patients and SARS-COV-2 sequence data from Germany. A multivariable Poisson regression analysis was performed to estimate incidence rate ratios (IRRs) of transfer (to another hospital during inpatient care), discharge and death of COVID-19 intensive care patients associated with Delta or Omicron, adjusted for age group and sex. Furthermore, a multistate model was used for the clinical trajectories of COVID-19 intensive care patients to estimate their competing risk of transfer, discharge or death associated with Delta or Omicron, while further addressing patient age.
Results
Poisson regression analysis comparing Omicron versus Delta infection yielded an estimated adjusted IRR of 1.23 (95% CI 1.16–1.30) for transfers, 2.27 (95% CI 2.20–2.34) for discharges and 0.98 (95% CI 0.94–1.02) for deaths. For ICU deaths in particular, the estimated adjusted IRR increased from 0.14 (95% CI 0.08–0.22) for the 0–9 age group to 4.09 (95% CI 3.74–4.47) for those aged 90 and older compared to the reference group of 60-69-year olds. Multistate analysis showed that Omicron infection was associated with a higher estimated risk of discharge for COVID-19 intensive care patients across all ages, while Delta infection was associated with a higher estimated risk transfer and death.
Conclusions
Retrospective, nationwide comparison of transfers, discharges and deaths of COVID-19 intensive care patients during Delta- and Omicron-dominated periods in Germany suggested overall less severe clinical trajectories with Omicron. Age confirmed as an important determinant for fatal clinical outcomes in COVID-19 intensive care patients, necessitating close therapeutic care for the elderly and appropriate public health control measures.
Clockwork: A Discrete Event and Agent-Based Social Simulation Framework
Authors: Azad Sasha , Beymer David , Pillai Anup , Zimmerman Tom , Seabolt Ed , Bulu Hakan , Potts Colin M. , Burrowes Vanessa , Mukherjee Vandana , Jhala Arnav
Published: December 2023

Agent-based social simulation can be useful for creating digital twins of societies of interacting autonomous agents. Such simulations are useful for testing hypotheses about behaviour and belief change in the presence of interventions. In this paper, we introduce Clockwork, an efficient multi-agent simulation framework. The key contribution of this framework is integrating a behaviour-level simulation of autonomous agent schedules with a Discrete Event Simulator (DES) and a rich model of social interaction among agents modelled with Agent-Based Social Simulation (ABSS) methodology. Clockwork's ability to simulate deterministic and stochastic events and changes in individual agent models due to the influence of other agents through event-based emergent interactions is novel. We describe the design, architecture, and development of the Clockwork framework. Combining DES and ABSS in this way enables the modelling of detailed individual agent histories while maintaining population-level statistical distributions. We evaluated Clockwork with a real-life scenario modelling the digital twin of employees at a real-world worksite to test the efficacy of various policies put in place to mitigate the risk of contracting COVID-19 through a hybrid or in-person work model.
Enhanced K-NN with Bayesian Optimization Algorithm for Predicting Energy Efficiency of Smart Grids in IoT
Authors: ZHAO Wenlong , Yuanchao HU , Xiaopeng YAN , LIU Xiaowei , Rixian DING , Chaofeng DAI , CAO Ying
Published: December 2023

With the increasing number of end users using electricity in modern cities, smart grids have some critical problems for energy efficiency and managing renewable energy resources. Therefore, electricity load forecasting is an important strategy to avoid power disconnection and power communication damages in smart grids. On the other hand, the Internet of Things (IoT) devices can collect appropriate data from end users with smart metering. In addition, smart devices can check and gather critical data from power stations using smart sensors and actuators to provide the Quality of Service (QoS) factors and energy efficiency of electricity transmission in the smart girds. Due to the huge data transmission, machine learning is useful for evaluating electricity load forecasting and power stability in smart grids. For detecting electric load forecasting and energy consumption factors, this paper develops Bayesian Optimization for K-nearest neighbor (BOKNN) with the hyper-parameters function to detect the electricity load forecasting and estimated power consumption factors in smart grids. The proposed technique optimizes the performance of electricity load forecasting and enhances the structure of the machine learning efficiency with high model accuracy. Two real-data sets as our case studies for Short-Term Electricity Load Forecasting are applied to evaluate the proposed BOKNN as existing experimental testbeds. The simulation results illustrate that the proposed BOKNN provides optimized high accuracy with 88.33% and 98.13% correlation coefficient and minimum Mean Absolute Error (MAE) with 0.04% for existing datasets. The experimental results show that the suggested BOKNN model greatly outperforms the state-of-the-art prediction algorithms.
SSB-YOLO: A vehicle object detection algorithm based on improved YOLOv8
Authors: Wang Mingda , Ren Luyuan
Published: December 2023

In the field of computer vision, vehicle object detection has been a topic of significant and complex interest. With the rise of intelligent transportation systems and autonomous driving technology, the importance of vehicle object detection continues to be highlighted. Given the current issues of low precision, high miss rate, and poor robustness in existing algorithms, this study introduces an improved vehicle detection algorithm, SSB-YOLO, based on the YOLOv8 model. The SSB-YOLO algorithm integrates the Shuffle Attention mechanism to filter out unimportant factors and enhance model performance; it also incorporates the spatial and channel reconstruction convolution mechanism to reduce spatial and channel redundancy between features in convolutional neural networks. Furthermore, a new and better algorithm based on Wise-IoU optimization is proposed, which yields superior bounding box regression performance throughout the training period. The model demonstrated improved detection accuracy and reduced computational cost. The experimental results indicate that, compared to the YOLOv8n model, SSB-YOLO achieves a 1.6% increase in mAP@50. This approach outperforms other object detection algorithms, enhancing the overall system's robustness and accuracy and thereby providing higher precision in the field of vehicle detection.
Patient’s Perspectives on Treatment Burden in Type 2 Diabetes Mellitus: Focus Groups in Primary Care Settings
Authors: Lin Kai , Yao Mi , ANDREW Lesley , Li Rouyan , Chen Yilin , OOSTHUIZEN Jacques , SIM Moira , CHEN Yongsong
Published: December 2023

Background
Understanding treatment burden is a crucial component of effectively managing Type 2 Diabetes Mellitus (T2DM). While our previous narrative review had proposed a thematic framework for identifying treatment burden in people with T2DM, the current study aimed to fill the knowledge gap about T2DM treatment burden from the patient’s perspective in primary care settings.
Methods
Purposive sampling was used to recruit a spread of participants from primary care settings across various socio-economic regions in China. Focus groups were organised to explore patients’ perspectives. The discussions were audio-recorded, transcribed, and analysed with a theoretical lens of the Cumulative Complexity Model (CuCoM) to facilitate the identification and understanding of patient workload and capacity in the context.
Results
The study engaged four focus groups, each consisting of five participants. Building on the thematic framework from previous research, this study further refined five key themes, including medical information, medication, administration, healthcare system, and lifestyle, through subtheme refinement and categorization. A significant development was the merging of the financial and time/travel themes into a new "personal resources" theme, reflecting their overlapping nature. This refinement led to a finalised conceptual framework with six core themes, including personal resources as an overlapping theme. The framework also incorporated antecedents and consequences as themes, identifying associated factors of T2DM treatment burden. Additionally, the study highlighted an often-overlooked theme of medical information in treatment burden research and underscored systemic inadequacies within the healthcare system, highlighting the critical challenge of balancing health needs with treatment accessibility in primary care settings.
Conclusions
This study underscores the multifaceted nature of the T2DM treatment burden. Significantly, it contributes to the development of a conceptual framework for understanding and measuring this construct in primary care settings. The study also highlights the need to consider each patient's personal resources allocation and utilisation of treatment.
Production of Paddy Straw Biochar for Amelioration of Coastal saline sandy soil
Authors: Das Madhushree , Kumar Manish , Karim Adnan Asad , Kumar Manoj
Published: December 2023

Paddy straw waste was pyrolyzed to produce biochar with a portable low-cost rotatable drum kiln and its efficacy to ameliorate salinity limitations in coastal sandy soils collected from Puri, Odisha was studied through completely random design (CRD) pot experiments. Four levels of salinity were maintained in experimental pots using different quantities of coastal seawater i.e. 0 (control), 5 (moderate), 10 (severe), and 20 (extremely severe) PSU. Triplicate biochar treatment doses (wt/wt basis) i.e. 0.5%, 1%, and 2 % were applied to experimental pots and 14 days mung bean (Vigna radiata var. NVL-516) plant germination, growth, and physiological (Total Chlorophyll) parameters were studied to evaluate the ameliorating influence of biochar. The experimental results suggest a better influence of 1% biochar treatment towards overall mung plant growth and available nutrient content in moderate i.e., 5PSU salinity level by alleviating the effect of salt stress with an increase in biochar dose and salinity level beyond 5 PSU, the positive influence of biochar was decreased. Compared to untreated soil, biochar ameliorated the physicochemical properties of tested coastal saline sandy soil.
Terahertz polarimetric imaging of biological tissues: Monte Carlo modeling of signal contrast mechanisms due to Mie scattering
Authors: Xu Kuangyi , Arbab M. Hassan
Published: December 2023

Many promising biomedical applications have been proposed for terahertz (THz) spectroscopy and diagnostic imaging techniques. Polarimetric imaging systems are generally useful for enhancing imaging contrasts, yet the interplay between THz polarization changes and the random discrete structures in biological samples are not well understood. In this work, we performed Monte Carlo simulations of the propagation of polarized THz waves in skin and adipose tissues based on the Mie scattering from intrinsic structures, such as hair follicles or sweat glands. We show that the polarimetric contrasts are distinctly affected by concentration, size and dielectric properties of the scatterers, as well as the frequency and polarization of the incident THz waves. We describe the experimental requirements for observing and extracting these polarimetric signals due to the low energy and small angular spread of the back-scattered THz radiation. We analyzed the spatially integrated Mueller matrices of samples in the normal-incidence back-scattering geometry. We show that the frequency-dependent degree of polarization (DOP) can be used to infer the concentrations and dielectric contents of the scattering structures. Our modeling approach can be used to inform the design of the imaging modalities and the interpretation of the spectroscopic data in future terahertz biomedical imaging applications.
Analyses Hybrid Technique Detection Multiple Input Multiple Output 5G Waveforms
Authors: Algriree Waleed , alsheakh H. , Sulaiman Nasri , Alghrairi Mokhalad , Taher H
Published: December 2023

The UFMC waveform is a type of physical layer, used by Cognitive Radio systems, to achieve reliable communication by using adaptive spectrum access. It is designed to provide interference-free communication without erasing the signals of the existing licensed users. The UFMC waveform is advantageous in Cognitive Radio networks because it can be very easily configured for different operating scenarios, providing both reliable and efficient communication. MIMO-UFMC-based transmissions, when used in combination with multiple-input multiple-output (MIMO) transmissions, have become widely accepted air interfaces that significantly improve spectral efficiency. This work presents a hybrid technique (HEDSLCT) as mathematical formulation of expressions that enable the analysis of ED performance based on the square-law combining (SLC) method in MIMO-UFMC systems, considering the future massive implementation of these systems in the fourth and fifth generation of mobile networks. The developed algorithms were used to conduct simulations for analyzing the performance of an ED process based on the SLC in MIMO-UFMC systems with varied numbers of transmit (Tx) and receive (Rx) communication branches. The results of these simulations enabled an evaluation of the ED performance. This paper presents an analysis of the effects of various factors, such as PU Tx power, false alarm probability, number of Tx and Rx MIMO branches, number of samples in ED process, and modulation techniques, on ED performance according to different signal-to-noise ratios. The obtained results of a comprehensive analysis showed that an appropriate selection of the evaluated factors could be used to improve the energy detection performance of multiple-input multiple-output ultra-wideband frequency-division multiplexing-based cognitive radio networks.
A breast tumor detection method based on spatial attention
Authors: Zhang Fangyan , Xu Xinzheng , Wang Peng
Published: December 2023

Breast cancer is the most dangerous killer for women. Accurate early diagnosis is the first step of treatment. This paper proposes a breast cancer detection model CBAMDNet based on breast pathological sections and deep learning. We adopt a pre-trained DenseNet121 embedded with spatial attention mechanism as the backbone model. Three random network models are trained in CBAMDNet to predict, and fused through majority voting to obtain more accurate results. We used a breast pathological section image data set to evaluate the generalization ability of our CBAMDNet, using 4 times cross validation. Simulation experiments show that CBAMDNet can produce higher classification results than the four existing breast cancer classification methods. Therefore, our CBAMDNet is an accurate tool to detect breast cancer and can be used for clinical diagnosis.
Enhancing Heat Transfer in Industrial Heat Exchangers with Water-Based GO Nanofluids: Comprehensive Analysis and Performance Optimization
Authors: Mousavi Seyed Borhan
Published: December 2023

In this study, the heat transfer characteristics within the heat exchanger using water-based GO nanofluids were comprehensively assessed. An apparatus was constructed by scaling down an industrial heat exchanger. The nanofluid’s thermal conductivity, specific heat capacity, viscosity, density, Prandtl number, and Nusselt number were examined at varying temperatures and GO nanoparticle concentrations. The results revealed that the thermal conductivity of the nanofluid increased with both temperature and nanoparticle concentration, reaching its peak value of 0.380 W.m− 1. K− 1 at 85°C and 0.1%wt, leading to enhanced heat transfer rates through conduction and convection mechanisms. The specific heat capacity increased with temperature but decreased with higher GO nanoparticle contents, with a maximum value of 3403.821 J.kg− 1. K− 1 was recorded at 40°C and 0.01%wt. The viscosity of the nanofluid increased with higher concentrations of GO nanoparticles, and the minimum value of 0.83 mpa.s was observed at 85°C and 0.01%wt. The Prandtl number decreased with temperature but increased with increasing GO nanoparticle concentration, suggesting a transition from convective to conductive heat transfer. A newly derived correlation equation for the Nusselt number, Nu = 0.0059(1 + 7.62φ0.6886)Pe0.001Re0.9238Pr0.4, allows predicting heat transfer enhancement in nanofluids. The findings emphasize the potential of nanofluids for improving heat exchanger performance and offer valuable insights for optimizing nanofluid applications in thermal systems.
Birth outcomes of twin’s pregnancy and associated factors in selected public Hospitals of Addis Ababa, Ethiopia, 2022
Authors: Getaneh Chala , Chernet Daniel , Lambebo Abera
Published: December 2023

Background
Twin birth is a type of multiple births when the mother gives birth to two offspring from the same pregnancy. The prevalence rates range from less than 8 twin pregnancies per 1,000 births in the East and Southern Asia, India, and Oceania to 17 or more per 1,000 births in Africa. There are factors to increase the negative birth outcome of twin delivery; from these, some of them are associated with increased maternal age, prim parity, low birth weight, chronic disease, low ANC follow-up, and PROM. Adverse birth outcome for twin delivery is a critical health issue in developing countries such as Ethiopia. It resulted in many bad consequences, neonatal and infant morbidity and mortality.
Objective
The objective of this study was to assess birth out come and associated factors of twin’s pregnancy in selected public Hospitals, Addis Ababa, Ethiopia.
Methods
Facility based cross sectional study was conducted on 246 maternal records of twin delivery in selected public hospitals of Addis Ababa to assess birth out come and associated factors of twin’s pregnancy from December, 2020-June, 2021.A pretested questionnaire which will be analyzed by SPSS and result will be reported in tables, bivariate and multivariate regression will be done to show correlations by Crude and adjusted odds ratio. A confidence limit of 95% and p- value less than 0.05 will be used as cut of point to see presence of statistical significance.
Result
The prevalence of adverse birth outcome (Both maternal and fetal) among twin delivery in the three selected public hospitals of Addis Ababa is 234 (95%). majority, 156(63.4%) were in the age group 18–28 years, with the mean age of 29.78 and Standard deviation of ± 6.53.Most of the mothers 227(92%) were married. Mothers who had Pregnancy induced hypertension (AOR = 10.465, 95% CI (2.922–37.474)), Mothers who had ruptured membrane before the onset of Labor (AOR = 3.577, 95% CI (1.198–10.682)) and Mothers who labor for more than 12 hours were (AOR = 3.324, 95% CI (1.101–10.034)) were significantly associated with adverse maternal birth outcome. While mothers who had ANC follow up at private clinic (AOR = 0.252, 95% CI (0.098–0.649)) and Mothers who live outside Addis Ababa were unlikely to have adverse fetal outcome (AOR = 0.343, 95% CI (0.143–0.826)).
Conclusion
Adverse birth outcome of Twins pregnancy is relatively higher when compared to similar studies conducted in Ethiopia. The Health facilities should have effective risk assessment in Antenatal care unit and labor ward. It is also recommended to have guidelines and protocols for the management of twin’s pregnancy. Since the Prevalence of Adverse twin’s Birth outcome is higher greater attention should be given on both Antepartum and Intrapartum care.
Informal Communication of Representatives of the Ukrainian Emigration of Interwar Czechoslovakia (1921–1939)
Authors: Zubko Olha
Published: December 2023

Informal communication in the Ukrainian emigration environment of the interwar Czechoslovak Republic is, first of all, rumours and gossips. Rumours and gossips are a special subtype of human communication that develops regardless of attitude toward it. Rumours and gossips are also a substantive phenomenon of the functioning of information. Rumours and gossips affect the self-expression of moods and public opinion. Rumours and gossips are a channel for controlling moods and public opinion.
Rumours and gossips in the Ukrainian anti-Bolshevik emigration of the interwar Czechoslovak Republic were considered not only through the prism of different information, but also through different levels of communication, which marked own and others, helped them to adapt. If rumours were the most common channel of informal communication among the Ukrainian interwar Prague emigration, then gossips mainly concerned those who had pronounced hobbies, defects in appearance or behaviour.
Storying Our Mourning and Resistance Through Teaching: Black Women Surviving (and Thriving In) White Spaces
Authors: Byrd Janice A. , Porter Christa J.
Published: December 2023

This critical duoethnography explores the experiences of two pre-tenured Black women faculty navigating their varied emotions teaching cultural awareness-building courses at predominantly White institutions during the height of the COVID-19 pandemic and racial violence. The authors draw upon Dillard and Bell’s (2011) nkwaethnography to share the stories of ‘we’ instead of the ‘singular self’ and present the data as two composite narratives. Authors use Black Feminist Thought (Collins, 1989, 1990) to make-meaning of their experiences and they highlight two themes: (1) teaching and mourning at the margins and (2) calculated resistance. Implications for Black women faculty who teach cultural awareness-building courses and higher education administration are provided.
Pela liberdade e pelo trabalho
Authors: De Brito Leonardo Leonidas
Published: December 2023

O presente artigo constitui uma tradução do texto “Proudhon, philosophe de l’éducation”, originalmente redigido pelo professor emérito da Université Paris VII, o sociólogo Pierre Ansart (1922-2016), estudioso da obra do seu patrício, o filósofo francês Pierre-Joseph Proudhon (1809-1865). Tal realização, levada à cabo pelo professor Leonardo Leonidas de Brito, professor do Colégio Pedro II e coordenador do Programa de Pós-Graduação em Educação Profissional e Tecnológica (ProfEPT) nesse Instituto Federal, representa nova iniciativa a qual se soma ao conjunto das suas pesquisas no campo da educação profissional.
Fiscalização de contratos administrativos de serviços terceirizados: Uma análise da eficácia da Instrução Normativa nº 5, de 25 de maio de 2017, no Centro de Ciências Jurídicas e Sociais da UFCG
Authors: Silva José Irivaldo Alves Oliveira , De Almeida Tadeu Lourenço
Published: December 2023

A administração pública, na busca de cumprir o mister de suas finalidades, necessita muitas vezes da realização de contratos com particulares, que carecem acompanhamento de representantes da própria administração. Partindo deste pressuposto, buscou-se entender se a Instrução Normativa Nº 5, de 25 de maio de 2017 trouxe as orientações suficientes para que as atividades de fiscalização de contratos administrativos de prestação de serviços continuados realizadas no Centro de Ciências Jurídicas e Sociais da Universidade Federal de Campina Grande fossem realizadas de maneira satisfatória por servidores dos mais diversos cargos. Trouxe como objetivo geral diagnosticar se a publicação da IN nº 5 se mostrou eficaz, ou seja, se a mesma é suficiente para nortear as atribuições dos fiscais de contratos administrativos de prestação de serviços continuados do CCJS. Por sua vez, trouxe como objetivos específicos analisar a evolução e a eficácia da legislação hodierna relacionada à fiscalização de contratos administrativos de serviços terceirizados; elencar os avanços e sugestões, na visão da fiscalização de contratos administrativos de serviços terceirizados do CCJS, da IN nº 5 e propor modificações na legislação, caso se evidencie necessidade, ao Ministério da Economia. A metodologia utilizada foi do tipo descritiva com abordagem qualitativa. No tocante ao procedimento técnico foi adotado o bibliográfico com aplicação de questionários aos fiscais de contrato de serviços terceirizados do CCJS. Os resultados alcançados indicam que a IN nº 05, isoladamente, não é suficiente para respaldar tecnicamente as atividades de fiscalização de contratos, sendo necessárias outras intervenções por parte da gestão.
Vulnerabilidade social e suas interconexões com a sífilis congênita: O que diz a literatura?
Authors: Lima Brenda Laudano , Spinola Carolina de Andrade
Published: December 2023

A Sífilis, doença milenar, ainda é um problema à saúde pública, especialmente quando congênita e em regiões mais pobres. Por isso, requer melhor compreensão sobre os aspectos que favorecem sua ocorrência. Considerada como doença negligenciada pelo mainstream, existem questionamentos sobre esta classificação. Este artigo buscou discutir como as categorias: sífilis congênita, vulnerabilidade social e doenças negligenciadas têm sido relacionadas pelos autores e identificar os condicionantes mais utilizados pelas análises. Adotando a revisão sistemática, foram incluídos 36 artigos, originados da SciElo, Web of Science e Scopus.  Depreende-se que a discussão da Sífilis Congênita variou ao longo do tempo, revelando três correntes de abordagens distintas. Em concordância, a maioria dos autores reconhecem a existência de um cenário de vulnerabilidade para a referida doença, representado por aspectos sociodemográficos maternos, como a escolaridade reduzida, raças parda e preta, adultas jovens e residentes de localidades com baixa prosperidade. Ainda, alertam para a necessidade de que sejam realizados investimentos em ações sociais, interdisciplinares, para o manejo adequado do problema.
OPTIMIZATION AND VALIDATION OF LIQUID-LIQUID EXTRACTION (LLE) METHOD AND THE APPLICATION OF GAS CHROMATOGRAPHY WITH FID DETECTOR FOR THE DETERMINATION AND QUANTIFICATION OF VOLATILE FATTY ACIDS IN EFFLUENTS FROM ANAEROBIC REACTORS
Authors: Lourenço Emilene , Oliveira Camila , Somer Juliana , Marteres Tiago , Luiz Franciele , Boroski Marcela , Toci Aline
Published: December 2023

Controlling the chemical parameters of the anaerobic digestion (AD) process is essential for the bioconversion of organic matter to methane; among these parameters include the presence and concentration of volatile fatty acids (VFAs). It is thus necessary to use efficient analytical methods that are capable of identifying and quantifying VFAs in reactor effluents in order to obtain an immediate response to their conditions. In this study, the liquid-liquid extraction (LLE) method was optimized and validated − through an adaptation of the official method, using acetone and KHSO4, and gas chromatography with flame ionization detector (GC-FID) was used for the determination of acetic, propionic, isobutyric, butyric, isovaleric and valeric acids present in the effluents. The limit of detection (LOD) and limit of quantification (LOQ) obtained were 1.2-2.5 mg L-1 and 1.9-3.7 mg L-1, respectively, for all analytes. These low LODs and LOQs are essentially important because the presence of isobutyric and isovaleric acids above 5.0 mg can be considered indicative of imbalances in AD. The proposed method, which presented satisfactory results with good repeatability (4.2-20.7%) and recovery (90.9-104.0%) rates, was applied for the analysis of effluent samples from three continuous stirred-tank reactors (CSTR).
The Bank of Russia’s Banknotes Counterfeit as a Threat to Russian Economic Security
Authors: Yargutova Veronika
Published: December 2023

The article analyzes the counterfeit banknotes number growth rate, the monetary policy aimed at improving the protective elements of banknotes, the level of counterfeiting crimes detection, and the impact of counterfeiting on the Russian economic security. The purpose of the article is to analyze the growth of cash circulation level and available methods for detecting counterfeit banknotes, as well as to determine the most relevant protective elements. The author uses the statistical data of the Central Bank of Russia on the amount of cash in circulation and counterfeit banknotes, as well as statistical data of the Ministry of Internal Affairs of Russia on the number of crimes committed under the Article 186 of the Criminal Code of the Russian Federation. The research can have a positive impact on the functioning of cash in general and become a basis for creating a unified information platform for the recognition of counterfeit banknotes, which will have a positive impact on the fight against counterfeiting and ensuring Russia’s economic security.
A proposta de um Programa de Pós-Graduação em Educação e as avaliações da CAPES
Authors: Alves Fabio Lopes , Felenchak Yuliia , Holod Andrii
Published: December 2023

Este artigo propõe analisar como a Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) avalia um Programa de Pós-Graduação em Educação. Os objetivos são: problematizar o desempenho do Programa de Pós-Graduação em Educação da Universidade Estadual do Oeste do Paraná (PPGE/UNIOESTE) descritos nos Pareceres finais da Comissão de Área; analisar, através das recomendações dos avaliadores, quais são as melhorias indicadas pelos consultores; apresentar, em perspectiva comparada, sugestões, diretrizes e estratégias que são adotadas por Programas consolidados e, que, eventualmente, possam ser adotados tanto pelo PPGE/UNIOESTE, quanto por outros Programas de Pós- Graduação em situação similar. Os resultados da pesquisa problematizam os comentários positivos, negativos e as sugestões exaradas pelos avaliadores, bem como parte das tendências e dos desafios impostos aos Programas de Pós-Graduação em Educação no Brasil.
18 Months of Treatment with Triheptanoin in 2 Patients with Long Chain
Fatty Acid Oxidation Disorders
Authors: Santos Helena , Vieira Ana , Tenente Joana , Carriço Ana , Rodrigues Esmeralda
Published: December 2023

Introduction::

Long-chain fatty acid oxidation disorders (LC-FAOD) are inborn errors of metabolism,
also identified in newborn screening in Portugal. They interfere with adequate energy
utilization, namely by muscles, heart, and liver. Treatment aims to maintain patients in an anabolic
state, with increased caloric intake, using carbohydrates and medium-chain fatty acids.
Treatment with triheptanoin (THP), a synthetic seven-carbon fatty acid triglyceride compound
with an anaplerotic effect that increases energy availability to the cell, has been advocated as an
efficacious and safe therapy in LC-FAOD.

Methods::

Retrospective revision of clinical records of 2 LC-FAOD patients comparing number,
severity and admissions for rhabdomyolysis crises, maximum CK values and weight gain in a
period of 18 months before and after treatment with THP.

Results/Case Report::

Patient 1 is a 12 year old male with VLCADD, with main manifestation
being rhabdomyolysis crises. After he started THP we found a decrease in admissions (6 to 2),
less rhabdomyolysis crises treated at home (5 to 3), and lower maximum CK values (72352 U/L
to 13.000U/L). He had a large increase in weight - 13kg in 18 months. He was able to start pool
exercises with no rhabdomyolysis associated. Patient 2 is an 8 year old male with LCAHDD,
with main manifestations being rhabdomyolysis crises and retinopathy. After he started THP we
found a decrease in admissions (4 to 1), no rhabdomyolysis crises treated at home, and lower
maximum CK values (100.000U/L to 19848 U/L). He also increased his weight - 7kg in 18
months. He plays football in school and swims with no rhabdomyolysis associated. In both patients,
no major side effects were observed.

Conclusion::

In our patients, we could observe a reduction in the number of admissions, and less
severe rhabdomyolysis crises after THP use. The weight gain was significant. There were no
major side effects. Despite regarding only two patients, our findings are in line with the latest
literature on THP and LC-FAOD, reinforcing the utility of THP as one more tool in the treatment
of these disorders with rhabdomyolysis as the main manifestation. The weight increase is
an issue to be aware of and to address from the start of the treatment.
Nano Lipid Carriers: A Novel Approach for Nose to Brain Drug Delivery
Authors: Tyagi Bhavishya , Verma Madhu
Published: December 2023

Background::

A nanostructured lipid carrier (NLC) is a nanoparticulate carrier system consisting of solid lipids, liquid lipids, surfactants, and water. NLCs are
second-generation lipid nanocarriers, gained continuous significance in recent times, and possess better physical stability, increased drug loading,
improved permeability, and bioavailability. They are considered superior to many other traditional lipid-based nanocarriers such as nanoemulsion,
liposomes, and solid lipid nanoparticles (SLN) and have emerged as an alternative to first-generation nanoparticles (SLN). NLCs have significant
potential in the pharmaceutical industry due to their extensive beneficial effects, like drug targeting, enhanced bioavailability, and their wide
positive benefits.

Objective::

The primary aim of this review was to study and explore the Nano lipid carrier, its advantages, patent preferences, and advancement of NLCs use
in nose-to-brain drug delivery

Methods::

The objective of this study was to conduct a literature review on the development of NLC for nose-to-brain drug delivery. The review focused on
NLC, its significant role in nose-to-brain delivery, and relevant patents. To achieve this goal, different review articles searched, were studied, and
summarized from various sources such as research articles, review articles, books, scientific reports, and patents.

Conclusion::

This review article discusses the potential benefits of NLCs in brain-targeting drug delivery through the intranasal route and key aspects of NLCs,
including their structure composition, formulation technique, and characterization, which are crucial for developing a reliable drug delivery.
Analysis of Statistical and Deep Learning Techniques for Temperature
Forecasting
Authors: Ganesan Kruthika Sriram , Rajasekaran Umamaheswari , Alagarsamy Malini , Sharma Vandana
Published: December 2023

In the field of meteorology, temperature forecasting is a significant task as it has
been a key factor in industrial, agricultural, renewable energy, and other sectors. High accuracy
in temperature forecasting is needed for decision-making in advance. Since temperature varies
over time and has been studied to have non-trivial long-range correlation, non-linear behavior,
and seasonal variability, it is important to implement an appropriate methodology to forecast
accurately. In this paper, we have reviewed the performance of statistical approaches such as
AR and ARIMA with RNN, LSTM, GRU, and LSTM-RNN Deep Learning models. The models were tested for short-term temperature forecasting for a period of 48 hours. Among the statistical models, the AR model showed notable performance with a r2 score of 0.955 for triennial 1 and for the same, the Deep Learning models also performed nearly equal to that of the statistical models and thus hybrid LSTM-RNN model was tested. The hybrid model obtained the
highest r2 score of 0.960. The difference in RMSE, MAE and r2 scores are not significantly
different for both Statistical and Vanilla Deep Learning approaches. However, the hybrid model provided a better r2 score, and LIME explanations have been generated for the same in order
to understand the dependencies over a point forecast. Based on the reviewed results, it can be
concluded that for short-term forecasting, both Statistical and Deep Learning models perform
nearly equally.
Investigations on Magnetic Field Assisted Electrochemical Discharge Machining Process
Authors: Appalanaidu Botcha , Kumar Arya Rajendra , Dvivedi Akshay
Published: December 2023

Electrochemical discharge machining (ECDM) process is an arising
unconventional machining process for the micromachining of non-conducting
materials. During the ECDM process, surface damages, machining continuity at higher
depths and hole over cut (HOC) are the main issues during drilling. Previous
researchers reported that gas film thickness, debris evacuation and electrolyte
replenishment are the prime reasons for the lack of surface quality and lower hole
depth. The present investigation has employed a magnetic field during the machining
process, and they found a positive effect on the above-mentioned issues. Lorentz force
was produced during the machining process, and created a circular motion of the
electrolyte around the tool electrode. This phenomenon helped to control the gas film
thickness, debris flushing, and electrolyte replenishment at the tool end. In the present
work, the authors used a 1300 Gauss Fe-based ceramic permeant ring magnet.
Magnetic field strength for both south and north poles was measured using a digital
Gauss meter. A high-speed image-capturing camera was used to understand the bubble
generation, gas film formation, and debris evacuation during the machining process.
The authors applied both north and south-pole magnetic fields for the investigation of
the machining process and compared the results with the conventional ECDM process.
Better results in surface quality, hole depth, and HOC were achieved with the south
pole magnetic field compared to the traditional ECDM process.