bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Non-Alcoholic Fatty Liver Disease on Sepsis Inpatient Outcomes: A Nationwide Sample Analysis(2000-2019)
Authors: Lyu Xiuhong , Liu Bolun , Li Yiting , Wang Yichen , Miskovsky John , Gaitanis Melissa , Promrat Kittichai , Wu Wen-chih
Published: July 2024

Background It was reported that patients with Non-Alcoholic Fatty Liver Disease (NAFLD) were at increased risk of contracting severe infections requiring hospitalization which could end up with sepsis. However, data regarding the impact of comorbid NAFLD on the in-hospital outcomes of sepsis admission is scarce.
Methods This nationwide retrospective observational study included 21,057,911 adult patients who were admitted into hospitals in the United States between 2000 and 2019 with a primary discharge diagnosis of sepsis. These patients were categorized according to the presence or absence of comorbid NAFLD. The twenty-year trend of nationwide NAFLD prevalence among sepsis inpatients was elucidated. Multivariate logistic regression analysis was used to analyze NAFLD's impact on in-hospital outcomes of sepsis.
Results In the twenty-year study period, the prevalence of NALFD among sepsis inpatients trended up from 1.2% in 2000 to 4.2 % in 2019. While sepsis mortality had trended down, comorbid NAFLD in sepsis patients was consistently associated with a higher adjusted in-hospital all-cause mortality rate (adjusted odds ratio (OR), 1.45; 95% confidence interval (CI), 1.42-1.48), higher odds of developing septic shock, and multi-organ dysfunctions (including cardiovascular-, renal-, and hepatic dysfunction). They were more likely to be discharged to another acute hospital. The length of stay of sepsis patients with NAFLD who died in the hospital was significantly shorter than those without NAFLD.
Conclusions Comorbid NAFLD is associated with higher in-hospital all-cause mortality and worse clinical outcomes in sepsis inpatients. Addressing this rising epidemic will be of paramount importance to improve sepsis in-hospital outcomes.
Fully Automated CFD Simulation System Research Based on Design Scheme Tree
Authors: Liu Zijun
Published: July 2024

In comparison to remarkable achievements of computer-aided drug discovery system for drug discovery, the role of computational fluid dynamics (CFD) played for flow channel design requires further enhancement. While CFD has undergone rapid evolution, the absence of integrated geometry and mesh processing hinders potential development of advanced applications of CFD. This paper presents JIACFD toolset to overcome the limitation and establishes fully automated CFD simulation system with it. The simulation system is also constructed on design scheme tree which is more in accordance with engineering thinking logic. The control parameter trend analysis method is introduced to select appropriate candidates from design scheme tree. Additionally, the control parameter trend assumption which will be proved by Spearman method is proposed to improve efficiency of the system. During verification process on study case, two independent control parameters are found to have trend correlation, and one control parameter converged when number of meshes increasing, indicating lack of trend sensitivity. Subsequently, the design scheme tree and trend curve are utilized to effectively analyze flow field characteristics of different schemes. Finally, control parameter trend analysis method will be employed to rank design scheme tree and verify that ranking for candidates is not dependent on number of meshes. This paper investigates and verifies presented system, method, and assumption and explores possibility of established system playing more critical role in performance design work.
Research on Stock Prediction Based on CED-PSO-StockNet Time Series Model
Authors: Chen Xinying , Yang Fengjiao , Sun Qianhan , Yi Weiguo
Published: July 2024

In view of the complexity and uncertainty of the stock market, especially the noise interference in the stock data, the traditional single prediction method has been difficult to meet the needs of investors. This paper innovatively proposes the CED-PSO-StockNet time series model to improve the accuracy of stock forecasting. The model first introduces the complete ensemble empirical mode decomposition (CEEMDAN) technology, decomposes the original stock data, estimates the frequency of each component through the extreme point method, and recombines it, so as to effectively remove the noise. Then, the model uses the Encoder-Decoder framework which integrates the attention mechanism to accurately predict the reconstructed components, so as to better extract and use the data features. In addition, this paper also uses the improved particle swarm optimization algorithm to optimize the model parameters. Through five groups of comparative experiments, the effectiveness of each part of CED-PSO-StockNet model is verified, showing its significant advantages in stock forecasting.
Adaptive Toeplitz Convolution- enhanced Classifier for Anomaly Detection in ECG Big Data
Authors: Wu Lili , Ali Majid Khan Majahar , Li Tao , Ni Chenmin , Tian Ying , Zhou Xiaojie
Published: July 2024

The anomaly detection of electrocardiogram (ECG) data is crucial for identifying deviations from normal heart rhythm patterns and providing timely interventions for high-risk patients. Various autoencoder (AE) models within machine learning (ML) have been proposed for this task. However, these models often do not explicitly consider the specific patterns in ECG time series, thereby impacting their learning efficiency. In contrast, we adopt a method based on prior knowledge of ECG time series shapes, employing multi-stage preprocessing, adaptive convolution kernels, and Toeplitz matrices to replace the encoding part of the AE. This approach combines inherent ECG features with the symmetry of Toeplitz matrices, effectively extracting features from ECG signals and reducing dimensionality. Our model consistently outperforms state-of-the-art models in anomaly detection, achieving an overall accuracy exceeding 99.6%, with Precision and Area Under the Receiver Operating Characteristic Curve (AUC) reaching 99.8%, and Recall peaking at 99.9%. Moreover, the runtime is significantly reduced. These results demonstrate that our technique effectively detects anomalies through automatic feature extraction and enhances detection performance on the ECG5000 dataset, a benchmark collection of heartbeat signals.
Overexpression of CIRP in astrocytes contributes to Alzheimer’s disease via downregulation of uPA
Authors: Li Ze , Liu Jing-Peng , Yao Feng-Hua , Chao Yang , Li Shou-Chun , Liu Yuan-Yang , Su Xin-Wen , Liu Yu-Xiao , Liu Ai-Jun
Published: July 2024

Background: Cold inducible RNA-binding protein (CIRP) is an important danger-associated molecular pattern involved in tissue-specific and systemic inflammation and is also regarded as a potential regulator of Alzheimer’s disease (AD). However, the precise roles and mechanism of CIRP in the functional changes in astrocytes during the development of AD are still unknown. This study aimed to assess gene expression alterations in astrocytes after they overexpress CIRP (oe-CIRP) and to explore the relationship between abnormal CIRP expression and AD.
Methods: We established astrocyte cell lines that stably expressed CIRP or control vectors using 3 different kinds of human glioma cell lines, namely, U87, U251 and H4, and analyzed the mRNA expression profiles of 3 pairs of cells via microarray. Then, the significantly differentially expressed mRNAs between the CIRP-overexpressing (ov-CIRP) group and the control group were identified by bioinformatics analysis and validated by quantitative real-time PCR (q-PCR) and western blotting (WB). Finally, the effect of CIRP overexpression in astrocytes on neurons was observed in a coculture system.
Results: We identified 119 mRNAs with obvious fold changes between the ov-CIRP and control groups for all 3 pairs of human glioma cell lines. These mRNAs are associated with diseases such as asthma IgE, dehydroepiandrosterone, rheumatoid arthritis, autism spectrum disorder, AD and so on. The biological functional analysis indicated that urokinase plasminogen activator (uPA), a gene whose expression significantly decreased after CIRP overexpression, was closely associated with AD. The results from q-PCR and WB assays confirmed that overexpression of CIRP significantly inhibited uPA at both the mRNA and protein levels in U87, U251 and H4 cells. Moreover, compared with those cocultured with control astrocytes, SH-SY5Y cells cocultured with CIRP-overexpressing astrocytes exhibited a significant increase in the expression of amyloid-β (Aβ)1-42 and the hyperphosphorylated microtubule-associated protein tau (Tau).
Conclusion: CIRP overexpression inhibited the expression of uPA in human astrocytes, which promoted the expression of Aβ1‒42 and the phosphorylation of tau in neurons, thus increasing the risk of AD. These results suggest that the overexpression of CIRP in astrocytes contributes to the development of AD.
Environmental Management of Poultry Houses: Controlling the Proliferation of Insect Pests in Togo
Authors: VINAKPON Guénnolé , AGBOKA Komi , MENSAH Serge Edgard. Paulin , GUIDI Hoeness NASSI , MLAGA Kodjo Gnatepe , TONA Kokou
Published: July 2024

Modern poultry farming in West Africa is crucial for food security and financial security, but it coexists with insects, which can be harmful and vectors of diseases. This study aims to explore the diversity of insects in the litter and poultry farms, and to determine the factors behind their proliferation in the Maritime Region of Togo. Ninety (90) layer farms were sampled for this study. Insect collection was carried out in two phases: collection of insects around and inside the poultry house, and in the litter. Insects were identified using entomological keys.
In the litter, the results showed that Alphitobius diaperinus (black beetle) is the most abundant (92.28%), with an average population of 270.5 ± 10.8 (n=120) and an average density of 164.87 ± 8.47 per square meter. Around and inside the poultry houses, Diptera were identified as the most abundant (91.99%), with an average population of 3472.2 ±31.2 (n=120). The density of insects in the litter was higher under the drinkers and feeders than in other areas (p<0.0001). The proliferation of insects in the litter is strongly linked to the duration of use of this litter (p<0.0001). The moisture content of the litter also facilitates the proliferation of insects under the drinkers and feeders (p=0.010 and p=0.001, respectively).
In conclusion, poultry farms harbour a diversity of insects, some of which could be vectors of pathologies. These results highlight the importance of environmental and litter management to limit the proliferation of insects in these farms.
Electrochemiluminescence Biosensor for MMP-2 Analysis Using CRISPR/Cas13a and EXPAR Amplification: A Novel Approach for Anti-Aging Research
Authors: Tang Qiang , Wang Jie , Zhang Jiayi , Zeng Hongyu , Su Zhixue , Zhu Xiying , Wei Jihua , Gong Yuanxun , Tang Qianli , Zhang Kai , Liao Xianjiu
Published: July 2024

Matrix metalloproteinase-2 (MMP-2) plays a pivotal role in anti-aging research. Developing advanced detection platforms for MMP-2 with high specificity, sensitivity, and accessibility is crucial. This study introduces a novel electrochemiluminescence (ECL) biosensor for MMP-2 analysis, leveraging the CRISPR/Cas13a system and Exponential Amplification Reaction (EXPAR). The biosensor operates by utilizing the T7 RNA polymerase to transcribe RNA from a DNA template upon MMP-2 interaction. This RNA activates Cas13a, leading to signal amplification and ECL detection. The incorporation of the "photoswitch" molecule [Ru(phen)2dppz]2+ streamlines the process by eliminating the need for extensive electrode modification and cleaning. Under optimized conditions, the biosensor achieved an impressive detection limit of 12.8 aM for MMP-2. The platform demonstrated excellent selectivity, reproducibility, and stability, making it highly suitable for detecting MMP-2 in complex biological samples. This innovative approach shows great potential for applications in molecular diagnostics and anti-aging research.
Enhanced Approximation Techniques: Stancu-type (λ,μ)-Bernstein-Kantorovich Operators
Authors: Cai Qing-Bo , Aslan Resat , Ozger Faruk , Mohiuddine Syed Abdul
Published: July 2024

The principal aim of this study is to investigate a range of approximation characteristics exhibited by Stancu-type (λ, μ)-Bernstein-Kantorovich operators denoted as Fλ,μ r,α,β(ϕ; z). In the initial stage, we conduct a comprehensive examination of diverse moment estimates pertaining to operators Fλ,μ r,α,β(ϕ; z). Subsequently, we delve into the exploration of several facets of direct results, including the order of convergence with respect to the usual modulus of continuity, Lipschitz-type continuous functions, and the Peetre’s K-functional. Furthermore, in order to gain insights into the asymptotic characteristics of the operators Fλ,μ r,α,β(ϕ; z), we derive a Voronovskaya-type asymptotic theorem. Additionally, we provide an analysis of the A-statistical convergence behavior and pointwise estimates associated with the operators Fλ,μ r,α,β(ϕ; z). Finally, we have included graphical representations and numerical error value tables to demonstrate the efficiency and accuracy of our proposed operator. Our analysis reveals that our operator yields significantly superior approximation results compared to certain other linear positive operators documented in the existing literature. Keywords and
Exploring Graphite-Based Thermal Greases For Optimal Microelectronic Device Cooling
Authors: Shishkin Roman , Arkhipova Vicktoria , Zhirenkina Nina , Fattakhova Zillara , Leshok Andrey
Published: July 2024

The quest for effective thermal management solutions for microelectronic devices, catering to the escalating heat flows, necessitates innovative strategies. The significance of thermal interface materials, especially thermal greases, in minimizing thermal resistance within the "microelectronic device – heat-dissipating element" interface, has been widely acknowledged across industries such as microelectronics, aviation, and space engineering. Despite the promising reported values, a crucial consideration entails the method of ascertaining thermal conductivity, necessitating measurements in bulk samples to ensure accurate representations. Graphite, owing to its commercial accessibility and commendable thermal conductivity, emerges as a standout candidate for composite material development, as demonstrated in recent research. We observed that the use of graphite-based fillers, particularly in the form of well-crystallized graphite particles, effectively reduced processor temperatures and enhanced thermal conductivity, outperforming industrially utilized thermal pastes. Our findings accentuate the potential of these materials in contributing to the development of cutting-edge composite materials for microelectronics, highlighting their high prospects for future applications in high-performance devices.
Ionospheric TEC variations during an intense geomagnetic storm on 11 May 2024
Authors: P Chaithra , Nagaraja Kamsali
Published: July 2024

On May 11, 2024, a severe geomagnetic storm occurred, causing significant disruptions to Earth’s magnetosphere and ionosphere. These storms, primarily caused by solar activity, are distinguished by variations in solar wind that increase energy flow from the Sun to Earth. The present research aims to analyze the latitudinal response of ionospheric Total Electron Content (TEC) during this event. The analysis is based on data collected from three different geographic locations: IISC (13.02°N, 77.57°E), POL2 (42.68°N, 74.69°E), and NOVM (55.03°N, 82.91°E). The electron density of the ionosphere is crucial for satellite-based communication and navigation systems. Geomagnetic storm strength is measured by the Kp-index and Disturbance storm time (Dst) index. During a geomagnetic storm and X-class flare of magnitude 5.89, a maximum Dst index of -412 nT and Kp index of 9 are observed during the storm day. TEC values increased at IISc during the storm period compared to quiet days, but decreased over POL2 and NOVM stations. A good correlation was observed between the observed TEC during a storm day and the predicted TEC by the IRI-2020 model over IISC and NOVM, while moderate correlation was observed over POL2.
Empowering Family Caregivers Through Managing Care Recipients’ Behavioral Challenges: A Qualitative Study
Authors: Yen Chia-Ming
Published: July 2024

Objective
Informal caregivers offer care outside a paid or professional capacity may completely lack the necessary knowledge and skills for dementia care. This study focused on examining the effectiveness of educational training to informal caregivers in terms of identifying positive changes.
Design and Intervention:
This study analyzed the effects of 24-hr home-based intervention—Program for Coping with Behavioral and Psychological Symptoms of Dementia (PCBPSD)—on the family caregivers (FCGs) of people with dementia (PWD) in Taiwan. The program included eight thematic lessons
Participants:
Eight FCGs were interviewed four times to identify likely positive changes in terms of reduced care burden and self-adjustment.
Results
Five themes identified included: (1) Reported BPSD by caregivers, (2) Encountered challenges from caregiving. (3) Barriers, (4) Gains and positive changes resulted from training programmes, and (5) Effective coping strategies.
Conclusion
The major challenges encountered by the FCGs not only from the problem behaviors themselves but the difficulty in pleasing care recipients and reluctance to employ foreign paid caregivers. Problem-focused strategies seem to be helpful when seeking information, such as participating in PCBPSD. Emotional-focused strategies should be implemented to prevent the feelings of exasperation in caregivers and the gradual fading of patients’ previous self-image and dignity, particularly as someone’s parent. PCBPSD has helped FCGs deliberately focus on the strengths of PWD by identifying the capabilities they still possess, complying with their preferences in safe situations, encouraging engagement in activities they enjoy, and affording them greater personal freedom.
Unraveling the Impact of Genome Assembly on Bacterial Typing: A One Health Perspective
Authors: Merda Déborah , Vila-Nova Meryl , Bonis Mathilde , Boutigny Anne-Laure , Brauge Thomas , Cavaiuolo Marina , Cunty Amandine , Regnier Antoine , Sayeb Maroua , Vingadassalon Noémie , Yvon Claire , chesnais virginie
Published: July 2024

Background
In the context of pathogen surveillance, it is crucial to ensure interoperability and harmonized data. Several surveillance systems are designed to compare bacteria and identify outbreak clusters based on core genome MultiLocus Sequence Typing (cgMLST). Among the different approaches available to generate bacterial cgMLST, our research used an assembly-based approach (chewBBACA tool).
Methods
Simulations of short-read sequencing were conducted for 5 genomes of 27 pathogens of interest in animal, plant, and human health to evaluate the repeatability and reproducibility of cgMLST. Various quality parameters, such as read quality and depth of sequencing were applied, and several read simulations and genome assemblies were repeated using three tools: SPAdes, Unicycler and Shovill. In vitro sequencing were also used to evaluate assembly impact on cgMLST results, for 6 bacterial species: Bacillus thuringiensis, Listeria monocytogenes, Salmonella enterica, Staphylococcus aureus, and Vibrio parahaemolyticus.
Results
The results highlighted variability in cgMLST, which appears unrelated to the assembly tools, but rather induced by the intrinsic composition of the genomes themselves. This variability observed in simulated sequencing was further validated with real data for five of the bacterial pathogens studied.
Conclusion
This highlights that the intrinsic genome composition affects assembly and resulting cgMLST profiles, that variability in bioinformatics tools can induce a bias in cgMLST profiles. In conclusion, we propose that the completeness of cgMLST schemes should be considered when clustering strains.
In-Depth Examination of CIGS (Copper, Indium, Gallium, Selenium) Layer Properties for Enhanced Solar Cell Performance
Authors: Elmelouky Abderrahmane , Hairch Youssef , Dahlous Kholood A. , Islam Mohammad Shahidul , Acharjee Nivedita , Salah Mohammed
Published: July 2024

The analysis and modeling of the CIGS layer using impedance spectroscopy is crucial for understanding and enhancing the performance of CIGS-based solar cells. Impedance spectroscopy characterizes the electrical and optical properties of materials across a range of frequencies, providing insights into charge transport processes, recombination mechanisms, and diffusion phenomena within the CIGS layer. This technique enables the determination of key electrical and optical parameters, such as resistance, capacitance, and impedance of the layer. By applying this model to experimental impedance spectroscopy data, researchers can extract specific parameters related to cell performance, including series resistance, shunt resistance, and charge carrier mobility. Ultimately, the comprehensive analysis and modeling of the CIGS layer through impedance spectroscopy deepens our understanding of charge transport mechanisms and its electrical properties. This knowledge is instrumental in continuously improving their performance and advancing photovoltaic technology.
Forecasting Model of Microsoft’s Daily Return and Its Volatility
Authors: Rong Runsheng
Published: July 2024

Stock returns tend to float sharply. It is vital for financial analysts to build appropriate model to forecast the returns of stocks and their volatility. This paper builds an initial AR model to predict the daily return of Microsoft, then checks both the ARCH effect in the residual terms by ARCH-LM test method and the autocorrelation relationship between the square of the residual terms by drawing the ACF and PACF plots, finally builds the full model, which consists of an AR model for forecasting the daily return of Microsoft and a GARCH model to predict its volatility.
Flood Risk Monitoring Around Part of the Niger Delta Basin of Nigeria
Authors: Abubakar Ahmadu Ali , Dodo J. D.
Published: July 2024

The influence of environmental geohazard events on the society are numerous and are seriously affected by the extent of flood which is exacerbated by climate change variables. This research is tailored towards investigating the dynamics of frequently occurring natural flood disaster. The recently launched Sentinel-1 SAR satellite constellation were adopted for temporal feature extraction and extent assessments over the study area. Methodology adopted involves Binarization (Thresholding) techniques, suitable pixel intensity through Band Maths to calculate and extract water accumulation with-in the Area of Interest (AOI). Result obtained shows that, number of scenes has no influenced on the expected outcome with a gradual increase in flood geohazard from September 2017 (10.49345%) to May 2018 (12.6057%) and a slight drop in May 2019 (11.47714%). Flood events persist a gradual progressive increase over time with that of October 2022 as high as (12.29319%). It was observed that May, -2018 have the highest percentage of water shade area (12.6057%) with the highest percentage of flood geo-hazard, then October, 2020 (12.29319%), then May, 2019 (11.47714%) and September, 2017 (10.49345%). Rate of water accumulation over the AOI was predicted with an extension to October, 2022. It was evident that flood event is a gradually accumulated and continuous geo-hazard event. Being a continuous phenomenon, over a period of time, it however consumes the solid part of the earth surface made for human activity such as farming and dwelling places. It could be seen that flood rate is not constant because other drivers could also contribute immensely towards increasing flood geohazard. The findings suggest a continuous monitoring so as to have a more reliable and current information on geo-hazard phenomenon.
Only One in Five Primary Health Care Workers Referred Visually Significant Cataract Patients to Spacialized Ophthalmic Center in Central Gondar Zone, Northwest Ethiopia 2023
Authors: Bogale zinachew Mulat
Published: July 2024

Background Cataract, opacity of crystalline lens is the leading causes of blindness world-wide and in Ethiopia. Despite the World Health Organization recommended primary eye care to be integrated to the primary health care targeting cataract as one concern, the case detection and referral practice at primary health care facilities towards cataract is low in Ethiopia and the level of referral practice and its associated factors towards cataract was not studied in Ethiopia. Thus, this study was aimed to assess the level of referral practice and associated factors towards cataract among primary health care workers in central Gondar zone, Ethiopia. Methods A cross sectional study was conducted on 284 primary health care workers selected with systematic random sampling, from June to august, 2023. The data were collected with a pre-tested self-administered questionnaire. The data were entered in to EPI info version 7 and exported to SPSS version 20 for analysis. Binary logistic regression model was fitted to figure out enabling factors for referral practice. The strength of association was expressed by odds ratio with 95% confidence interval and factors with a p- value less 0.05 was considered as statistically significant. Results Among 284 primary health care workers 96.1% (273) participated in the study with an average age of 30 years. Among 260 study participants 21.9% [95% CI: (17.4–27.2.0)] had good referral practice. It was significantly associated with eye care training [AOR = 3.13, 95%CI: (1.31–7.45)]. Conclusion The study found out that, few of the study participants had good referral practice and it was associated with training. It is better to increase efforts by the concerned body for provision of on service training for primary health care workers on cataract referral scheme.
Role of the Russian Spiritual Mission in China in Training of the Ministry of Foreign Affairs Officials
Authors: Mamkina Inna N.
Published: July 2024

Activity of the Russian Spiritual Mission in Beijing helped to strengthen the relationships between Russia and China. The history of the Russian spiritual mission in Beijing is represented by a wide range of publications of Soviet and church researchers. At the same time, the civil service of the mission students was out of the scope of the study. The purpose of this work is to conduct a comprehensive study of the organizational and legal basis of the institute of apprenticeship of the Russian spiritual mission in Beijing, to determine the role of the Russian spiritual mission in the training of officials of the Board, later the Ministry of Foreign Affairs. The right to send the mission to Beijing regularly was agreed with both Russia and China in Khakhta Treaty in 1727. In addition, the treaty stipulated the sending of four students to Beijing. The students studied the Chinese and the Manchu languages. Students had to be engaged in scientific activities. Legal status of the students of the Mission was defined by regulations on civil servants. Production to higher ranks for special merits was carried out by the Mission Council with the approval of the Ministry of Foreign Affairs. A student returning from Beijing was determined to a further place of state civil service as it was decided by the Ministry of Foreign Affairs. As a whole, apprenticeship as a part of the Russian spiritual mission became a factor of successful career growth and a certain social lift for many students of the mission. The author concludes that the institute created under the spiritual mission was an effective mechanism for training highly qualified specialists for diplomatic activities.
Ornamental Grasses Tolerate Cyclical Flood, Drought, and Submergence During Stormwater Management, but Conditions and Survival Vary by Species
Authors: Nelson Randy S. , McGinnis Esther E. , Daigh Aaron Lee M.
Published: July 2024

Perennial ornamental grasses are often recommended for rain gardens, but few data support their use. We conducted two experiments to evaluate the ability of ornamental grass cultivars to grow while subjected to cyclical flooding, submergence, and drought typical of rain gardens. Our objectives were to determine the effects of cyclical flood and drought (Expt. 1) and submergence depth and duration (Expt. 2) on grass growth and survival. Seven cultivars were evaluated during greenhouse trials, including Pixie Fountain tufted hairgrass [Deschampsia cespitosa (L.) P. Beauv.], Northwind switchgrass (Panicum virgatum L.), Red October big bluestem (Andropogon gerardii Vitman), Purpurascens Chinese silvergrass (Miscanthus sinensis Andersson), Blue Heaven® little bluestem [Schizachyrium scoparium (Michx.) Nash], Blonde Ambition blue grama grass [Bouteloua gracilis (Kunth) Lag. ex Griffiths], and Karl Foerster feather reed grass [Calamagrostis ×acutiflora (Schrad.) DC]. During Expt. 1, grasses underwent four cycles of flooding duration (2 days or 7 days) followed by drought (drying to volumetric soil water contents of 0.14 or 0.07 cm3·cm−3). During Expt. 2, grasses were cyclically submerged at 15 or 30 cm above the soil surface for 2, 4, or 7 days, followed by floodwater removal and drainage for 2 days before being resubmerged. Cyclical submergence continued until the 7-day submergence treatments completed four cycles. Both experiments were replicated in a full factorial randomized complete block design. Controls were included in both experiments. Plants were measured to determine plant height, shoot count, visual damage rating, shoot dry weight, and root dry weight. Floodwater chemistry and soil reducing conditions were measured during Expt. 2. Chinese silvergrass and switchgrass survived cyclical soil flooding/drought and submergence for 7 days at a depth of 30 cm while maintaining acceptable foliar damage. All grasses survived cyclical flood and drought when the soil volumetric water content was maintained at 14%, suggesting they can withstand periodic soil flooding as long as the water is not too deep. As water depth and duration increased from 4 days to 7 days, little bluestem, blue grama grass, and feather reed grass experienced significant foliar damage. Tufted hair grass and big bluestem experienced significant foliar damage when submerged for 2 days. Our results showed that perennial ornamental grasses can tolerate cyclical flood and drought and periodic submergence, but that plant conditions and survival vary, which can inform strategic plant placement within rain gardens, bioretention basins, and other stormwater management systems.
Praktis Kekuasaan dalam Wacana Pedagogi Secara dalam Talian di Peringkat Pengajian Tinggi
Authors: Marliana Neng Lia ,   Linguistic Programme, Faculty of Social Science and Humanities, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia, Jaafar Mohammad Fadzeli , Radzi Harishon ,   Linguistic Programme, Faculty of Social Science and Humanities, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia,   Linguistic Programme, Faculty of Social Science and Humanities, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
Published: July 2024

Pandemik COVID-19 menjadi punca berlakunya pengajaran dan pembelajaran (PdP) secara dalam talian di peringkat sekolah dan pengajian tinggi. Kajian ini bertujuan menjelaskan praktis kekuasaan dalam wacana pedagogi secara dalam talian di pengajian tinggi melalui pemerihalan ciri struktur interaksi dalam sistem ambil gilir dan ayat tanya pensyarah (Ps) dan pelajar (P) serta tafsiran amalan wacananya. Kajian kualitatif ini akan meneroka praktis kekuasaan dalam pelaksanaan PdP secara dalam talian di pengajian tinggi sebagai satu kajian kes. Data kajian diambil melalui temu bual dengan pelajar dan rakaman PdP dalam talian yang melibatkan seorang pensyarah dan pelajar di salah sebuah universiti awam di Indonesia. Rakaman data ditranskrip untuk diperoleh teksnya dan dianalisis dengan kerangka teori Analisis Wacana Kritis (AWK) Fairclough berdasarkan dimensi tekstual, amalan wacana dan praktis sosial. Fokus praktis kekuasaan pada kajian ini dijelaskan melalui pemerihalan dimensi tekstual, iaitu ciri struktur interaksi dalam sistem ambil gilir Ps-P, ayat tanya serta menafsirkan amalan wacana. Manakala struktur interaksi dicerakin dengan kerangka teori Sinclair dan Coulthard. Hasil kajian menunjukkan wujudnya praktis kekuasaan pensyarah yang melibatkan kuasa sah, kuasa pakar, dan kuasa penghargaan pensyarah kepada pelajar melalui struktur gerakan yang dimulakan pensyarah, iaitu Ps, Ps-P, Ps-P-Ps dan Ps-Ps. Praktis kekuasaan pensyarah pula ditunjukkan melalui amalan pensyarah mengemukakan ayat tanya tertutup, berceramah secara panjang lebar, menjawab soalannya sendiri, mengulang jawapan pelajar dan menyuap jawapan pelajar; serta amalan pelajar tidak merespons, lambat merespons dan merespons terus soalan pensyarah. Didapati praktis sosial kekuasaan pensyarah dan pasifnya pelajar menjadi punca tidak berjayanya PdP secara dalam talian yang berpusatkan pelajar mengikut kurikulum yang mengimplementasikan Merdeka Belajar-Kampus Merdeka. Kajian ini menambah baik kajian wacana pedagogi terdahulu yang tidak mengaitkan dengan kurikulum dan tidak dikaji dengan pendekatan AWK. Kajian ini memberikan sumbangan disiplin linguistik terhadap pengemasan pedagogi pensyarah yang sesuai dengan kurikulum semasa.
Expanding the Notion of Personal Well-Being During COVID-19 Campus Closure in India: Results from a Mixed-Methods Study with Members of Higher Education
Authors: Yeon Guydeuk ,   Department of Economics, Christ University, Hosur Main Road, Bhavani Nagar, Bengaluru, Karnataka 560029 India, Perumbilly Sebastian , N Elangovan , Awungshi Sarah , K. J. Varghese ,   Department of Marriage and Family Therapy, Southern Connecticut State University, 501 Crescent Street, New Haven, CT 06515 USA,   School of Business and Management, Christ University, Hosur Main Road, Bhavani Nagar, Bengaluru, Karnataka 560029 India,   Department of Psychology, Jesus and Mary College, University of Delhi, Chanakyapuri, New Delhi 110021 India,   Department of Psychology, Christ University, Hosur Main Road, Bhavani Nagar, Bengaluru, Karnataka 560029 India
Published: July 2024

The COVID-19 pandemic has challenged lives globally in unprecedented ways. While numerous studies have discussed the impact of this pandemic on human lives, this descriptive study examined how this pandemic affected personal well-being (PW) for members of Indian higher education in the early phase of the pandemic in 2020 when there were no vaccines and remedies available. Research participants (n = 551) were faculty members, graduate students, and non-teaching staff in Indian higher education. At the time of data collection, when all campuses were closed, all participants were functioning in their roles in the academic communities via virtual platforms. This descriptive study, based on a mixed-methods research design with concurrent triangulation strategies, collected data from all regions of India. Resulting data identified and discussed the impact of the pandemic on six domains of PW in the life of participants: (a) self-care; (b) professional growth; (c) quality of interrelationship within the family; (d) relationships with significant others outside of the family; (e) process of experiencing/facing and addressing challenges; and, (f ) relationship with spirituality/transcendental dimensions. The relevance of the last domain may be unique to Indian participants’ socio-cultural context and ethos. The findings and discussion explain how PW is a composite of all these six domains, and the pandemic expanded the notion of PW for the members of Indian higher education. Further, the findings also provided a general orientation on how educational leadership teams and institutions can enhance at least three specific dimensions of their community members and thus increase the likelihood of improving the quality of their professional and personal life. The findings may also have relevance for academic communities worldwide and inform clinicians working with members of academic communities, educational institutions and policymakers.
Effect of learning culture and management control system on innovation performance: Evidence from startup companies in Indonesia
Authors: Bastian Elvin , Piliang Arfah , Meutia
Published: July 2024

The startup must be able to innovate in response to the uncertainty of the business environment, which is changing rapidly along with advances in technology. This study aims to analyze the relationship between learning culture, belief, boundary control, dynamic capabilities, and innovation performance. Quantitative methods with AMOS and structural equation modeling were used to test 260 samples. Questionnaires were distributed among startup companies in Banten Province, Indonesia. The research results show that dynamic capabilities and the development of management control systems are influenced by learning culture. The findings inform that a strong learning culture attitude produces company confidence and a management boundary control system that can adapt to uncertain environmental changes. Startup companies should motivate their personnel to improve competence through a learning culture. The role of innovation performance is also indirectly influenced by beliefs and boundary control systems. Recognition of personnel abilities and contributions in collaboration with external sources opens up opportunities to compete in business. This finding is a key factor explaining that startup companies must face a rapidly changing environment by optimizing management’s ability to innovate, implementing management control systems routinely, and building a trust system to inspire and motivate employees.
Türkiye’de Enflasyon Oranlarının Makine Öğrenme Yöntemi ile Tahmini
Authors: Nas Serkan , Akboz Caner Ayşe , Ergin Ünal Ayşe
Published: July 2024

Karar birimleri ve politika yapıcıların başarılı politikalar geliştirebilmelerinin önemli etkileyenlerinden biri gelecek dönemlere ait makroekonomik değişkenlerin doğru tahmin edilmesiyle gerçekleştirilmektedir. Enflasyon, söz konusu makroekonomik göstergeler arasında yer almakta olup başarılı politikalar gerçekleştirebilmek için enflasyonun reel etkilerini ve şiddetini minimize etmek, gelecek dönem değişimlerini ve etkileyenlerini belirlemek, enflasyonu güvenilir tahmin etmek gerekmektedir. Enflasyonun doğru bir şekilde tahmin edilmesi demek kamu sektörü ve özel sektör tarafından hem uygulanacak politikalar açısından hem de alınacak yatırım kararları bakımından önem arz etmektedir. Bu bağlamda yapılan çalışmada, Türkiye için 2008-2023 zaman aralığı kullanılarak üçer aylık veriler seçilmiştir. Çalışmada, geleneksel ekonometri yöntemleri yerine tahmin ile gerçeğin arasındaki farkın en aza indirgendiği makine öğrenme yöntemleri kullanılmıştır. Alternatif makine öğrenme metotları olan rastgele orman, karar ağacı ile yapay sinir ağları yöntemi olan çok katmanlı algılayıcı kullanılarak enflasyonu etkilediği düşünülen Brent petrol, Reeskont avans faiz oranı, para arzı, TÜFE, vergi gelirleri, genel bütçe gelirleri, politika faizi, Amerikan Doları/TL paritesi, GSYİH öznitelikleri seçilmiştir. Seçilen öznitelikler ile doğru tahminlemenin yapılacağı yöntem ve etkileyenin belirlenmesi amaçlanmaktadır. Analiz sonuçları karar ağacı modelinin, rastgele orman ve çok katmanlı algılayıcıya oranla en doğru enflasyon oranını tahmin ettiğini göstermektedir. Çalışma sonucundan elde edilen diğer bir bulgu ise Türkiye’de enflasyonun en yüksek belirleyicisinin Amerikan doları olduğu olgusudur.
Bir Soykırım Hikâyesi: “Beyaz Lale”
Authors: Özpay Ahmet
Published: July 2024

Ömer Seyfettin’in “Beyaz Lale” hikâyesi, Temmuz-Ekim 1914 tarihleri arasında Donanma mecmuasında tefrika edilir. Metin, Serez’de, I. Balkan Savaşı sırasında Bulgarların vahşetin ve sadizmin en uç noktalarında Türklere karşı uyguladıkları katliamı ve tecavüzü, soykırım bağlamında ele alır. Radko, Serez’e girip kontrolü ele aldığında, şehrin yağmasını ve ahalinin katliamını, usul ve intizam dairesinde gerçekleştirmek gibi iki hassas ve mühim vazifesi olduğunun bilincindedir. Bunu yapabilmek adına hiçbir endişe duymamaktadır. Yapmayı planladığı her şeyin soykırım olup olmadığı da onun açısından üzerinde durulacak bir mesele değildir. Önemli olan Büyük Bulgaristan İmparatorluğu’nu kurmak ve yaşatmaktır. Bu hedefin önünde duracak her engeli yıkmayı, temel bir vazife olarak görür. Hikâyenin acımasız ve katliamcı başkişisi Radko Balkaneski, menfi bir tip; Lale de bu menfi tipin tecavüzüne uğrayan kurban tiptir. Ömer Seyfettin, baştan sona kronolojik bir seyir takip eden hikâyesini, Maupassant tarzı bir hikâye olarak kaleme almıştır. Bu bağlamda kişilerden çok olay önemlidir ve bu olayın anlatımı vasıtasıyla da anlatıcı, tezini güçlü bir şekilde vermeyi asıl amaç olarak görmektedir. “Soykırım Suçunun Önlenmesi ve Cezalandırılması Sözleşmesi”nde yer alan hükümlerin neredeyse hepsinin örnekleri, “Beyaz Lale”nin satırları arasında yer alır. Bu yazıda, nesneleştirilen insan unsuru hem soykırımın nesnesi hem de sadizmden nekrofiliye tecavüzün nesnesi olarak anlatılır. Hristiyanlaştırma, mimari yapının tahrip edilmesi, Türklerin servetinin yağmalanması da soykırım suçları arasındadır. Hikâye, gerçek hayattan alınan soykırım suçlarını, kurgunun gücü ve muhayyilenin kabiliyetiyle çok başarılı bir şekilde okuruna sunmaktadır.
Effect and Mechanism of 6-Gingerol against Precancerous Lesions of Gastric Cancer Based on Network Pharmacology and In Vitro Experiment
Authors: Xu Jingyu , Zhang Cian , Wang Ling , Wang Meiling , Liang JIayu , Yang Yanlong , Zhang Xuan
Published: July 2024

Background:

Precancerous Lesions of Gastric Cancer (PLGC) are critical in the secondary
prevention of gastric cancer. Despite the notable effects of natural products on PLGC, the
specific mechanisms by which compounds, like 6-gingerol, influence these lesions are not fully
understood.

Aims:

This study aimed to confirm the effect and mechanism of 6-gingerol in the treatment of
precancerous lesions of gastric cancer (PLGC).

Objective:

The objective of this study was to elucidate the effects and mechanisms of 6-gingerol
against PLGC using network pharmacology and in vitro experiments.

Methods:

We employed network pharmacology to identify potential targets and pathways influenced
by 6-gingerol, followed by validation through in vitro experiments using a PLGC cell
model.

Results:

Network pharmacology analysis highlighted the PI3K/Akt signaling pathway as significantly
influenced by 6-gingerol. In vitro experiments confirmed that 6-gingerol effectively inhibited
proliferation, invasion, and metastasis of MC cells, promoted apoptosis, and induced cell
cycle arrest, primarily through modulation of the PI3K/Akt pathway. Statistical analysis revealed
significant inhibition (p < 0.05) across these cellular processes in a dose-dependent manner.

Conclusion:

This study demonstrated that 6-gingerol acts as an effective agent against PLGC,
with clear dose-dependent effects that pave the way for further experimental and clinical exploration.

other:

none
Alzheimer's Disease and Vascular Dementia, Connecting and
Differentiating Features
Authors: Hurła Mikołaj , Banaszek Natalia , Kozubski Wojciech , Dorszewska Jolanta
Published: July 2024

Alzheimer's disease (AD) and vascular dementia (VD) are the leading causes of dementia,
presenting a significant challenge in differential diagnosis. While their clinical presentations
can overlap, their underlying pathologies are distinct. AD is characterized by the accumulation of
amyloid plaques and neurofibrillary tangles, leading to progressive neurodegeneration. VD, on the
other hand, arises from cerebrovascular insults that disrupt blood flow to the brain, causing neuronal
injury and cognitive decline. Despite distinct etiologies, AD and VD share common risk factors
such as hypertension, diabetes, and hyperlipidemia. Recent research suggests a potential role for
oral microbiota in both diseases, warranting further investigation. The diagnostic dilemma lies in
the significant overlap of symptoms including memory loss, executive dysfunction, and personality
changes. The absence of definitive biomarkers and limitations of current neuroimaging techniques
necessitate a multi-modal approach integrating clinical history, cognitive assessment, and
neuroimaging findings. Promising avenues for improved diagnosis include the exploration of novel
biomarkers like inflammatory markers, MMPs, and circulating microRNAs. Additionally, advanced
neuroimaging techniques hold promise in differentiating AD and VD by revealing characteristic
cerebrovascular disease patterns and brain atrophy specific to each condition. By elucidating
the complexities underlying AD and VD, we can refine diagnostic accuracy and optimize treatment
strategies for this ever-growing patient population. Future research efforts should focus on
identifying disease-specific biomarkers and developing more effective neuroimaging methods to
achieve a definitive diagnosis and guide the development of targeted therapies.
A Study on the Role of miR-126 in the Repair Process after Spinal
Cord Injury
Authors: Suo Yaojun , Wang Chunfang
Published: July 2024

Background:

Spinal Cord Injury (SCI) results in motor, sensory, and autonomic dysfunctions
and causes social and economic problems. Surgery, medication, and stem cell transplantation
are therapeutic strategies for SCI. The use of endogenous neural stem cells seems preferable
due to their lower immune responses. miR-126 serves as a promising microRNA for reducing
inflammation after SCI. It can promote angiogenesis and proliferation of neural stem cells

Objectives:

This study aimed to observe changes in miR-126 expression after SCI in an animal
mice model.

Methods:

A total of 42 healthy adult FVB mice were divided equally into 7 groups (6 SCI model
versus 1 control). At different periods following SCI establishment in the model groups, Basso
Mouse Scale score (BMS), histopathological changes, and expression levels of miR-126 were
evaluated in the model groups compared to the control one.

Results::

The BMS score increased to a certain extent as the time after spinal cord injury progressed.
HE and Nissl staining showed that the acute period (1-7 days) after spinal cord injury
was characterized by neuronal loss, whereas the chronic phase (21st day) was characterized by
scar and cavity formation. Compared with the control group, the model group exhibited decreased
expression of miR-126 during the acute phase (days 1-7 post-SCI). However, its expression increased
by 21th day after SCI.

Conclusion:

Overexpressed miR-126 can contribute to reduced SCI-related damages, which may
result in the promotion of the growth and proliferation of neural stem cells as well as the repair of
motor function.