bluuebunny/crossref_metadata_2025 huggingface dataset:
Extending CEMHYD3D to simulate hydration of portland cement pastes with high volumes of silica fume
Authors: Han Yoonjung , Bullard Jeffrey , Burroughs Jedadiah , Ucak-Astarlioglu Mine , Shannon Jameson
Published: September 2024

Silica fume (SF) influences the hydration rate of Portland cement in different ways depending on the physical and chemical properties of the SF. This study reports the impact of SiO2 content (%), loss on ignition (%), and Brunauer–Emmett–Teller (BET) specific surface area on the hydration reaction of SF-cement paste mixtures. This study used five types of SFs with varying SiO2 content, loss on ignition (%), and particle morphology. Five SFs were mixed with Class H oil well cement at each of two different replacement levels (20% or 30% by mass), and the released heat of hydration was measured using isothermal calorimetry. The results were used to improve the pozzolanic reaction simulation feature of the original Virtual Cement and Concrete Testing Laboratory (VCCTL) software, which enabled the soft-ware to simulate a higher SF replacement ratio in a cement mixture with higher fidelity. Results showed that a silica fume’s SiO2 content (%), loss on ignition (%), and BET specific surface area significantly influence the heat release rate. The new simulation model agrees well with the measurements on all the pastes tested.
PEMENUHAN HAK ANAK OLEH PANTI ASUHAN DI KABUPATEN JOMBANG
Authors: Abdalloh Feri , Kusumawati Ita Rahmania
Published: September 2024

Ada banyak panti asuhan di  Kabupaten Jombang yang mengurusi anak yang kurang beruntung tidak memiliki orang tua. Muncul keingintahuan peneliti untuk mengetahui bagaimana Panti Asuhan di Kabupaten Jombang memenuhi hak-hak anak asuh, apa hambatan dan solusi pemenuhan hak anak oleh Panti Asuhan di Kabupaten Jombang. Pendekatan yang digunakan dalam penelitian ini adalah metode pendekatan kualitatif. Jenis penelitian ini adalah penelitian lapangan (field reseach) yang digunakan untuk memperoleh data yang diperlukan dalam mengkaji tentang pemenuhan hak anak oleh panti asuhan di Kabupaten Jombang lalu dianalisis dengan kacamata maqashid syariah. Penelitian ini menyimpulkan bahwa panti asuhan di Kabupaten Jombang menerapkan strategi pemenuhan hak anak, termasuk kebutuhan dasar, pendidikan, kesehatan, perlindungan, dan keadilan. Kendala yang dihadapi melibatkan konflik antar anak, kekurangan tenaga pengasuh, latar belakang yang beragam, dan keterbatasan finansial. Upaya penanganan mencakup mediasi, pembinaan, koordinasi dengan dinas sosial, dukungan psikologis, dan kerjasama dengan instansi sejenis. Strategi pemenuhan hak anak di panti asuhan Kabupaten Jombang, perspektif Maqasid Syariah, bertujuan memperkuat tanpa bertentangan dengan hukum Islam. Pendekatan holistik diterapkan untuk memenuhi kebutuhan fisik, spiritual, emosional, intelektual, dan sosial anak-anak di panti asuhan.
Structural Evolution and Correlation Characteristics of Carbon Emissions in China's Industrial Sector
Authors: zhao Jiali , Dong Jiangfeng , Wu Rong , Guo Chenzi
Published: September 2024

The deterioration of the global environment and the intensification of the greenhouse effect are increasingly severe issues, making the pursuit of a green and sustainable development path, characterized by low carbon emissions, the primary direction for global economic progress. A thorough understanding of the dynamic changes in the structure of industrial carbon emissions and the relationships between them is crucial for the strategic planning of industries and the effective development of energy conservation and emission reduction policies. This paper constructs a comparable input-output industry table for China and employs an input-output model combined with a complex network analysis method to examine the trends, correlation characteristics, and evolutionary patterns of carbon emissions across various industrial sectors in China. Notably, the metal smelting and rolling processing, construction, and chemical industries exhibit the highest carbon emissions, while the non-metallic mineral products industry and the metal smelting and rolling processing industry show the highest direct carbon emission intensity. Additionally, the financial products industry and the electrical machinery and equipment manufacturing industry have significant indirect carbon emission intensity. The network characteristics of associated carbon emissions reveal that the industrial carbon emissions network exhibits small-world properties with closely linked nodes. Metal smelting and the chemical industry hold central positions in the carbon emissions network, marking them as critical sectors for energy conservation and emissions reduction. The optimal emissions path analysis indicates that the oil processing and electric power production industries are key to stable emissions, highlighting the need for focused efforts on promoting energy conservation and emissions reduction.
Multi-Stage BiLinear Self-Attention Network for Multi-Sensor Industrial Time Series Classification
Authors: Huang HaoLang , Pang Xiongwen , Zou ChunYa , Li Xiangru , AI JUN
Published: September 2024

Available deep learning models have shortcomings in processing some industrial time datasets, as these models often ignore the importance of various stages in industrial time-series data and fail to capture the complex relations between multiple series from different sensors. This paper introduces MMITNet, a novel Multi-Stage Multi-Sensor Industrial Time-series Network, designed to emphasize the importance of various stages within industrial time-series data and the fusion of multi-sensor data. In our study, we utilize time-series embedding techniques, incorporating stages-based segmentation and BiLinear Self- attention Embedding, to effectively highlight pivotal stages within time-series data. This embedding methodology employs a parallel structure, which accounts for both inter-stage relationships within a time- series and the dynamics across various stages. Subsequently, the Multi-Sensor Fusion Network leverages a graph attention mechanism to integrate data from multiple sensors, capturing non-linear correlations among features. Our experiments demonstrate that our model attains state-of-the-art performance on an authentic industrial spot-welding time-series dataset and exhibits a good performance across several baseline datasets. Further investigation reveals that MMIPNet consistently achieves promising results when handling time series characterized by distinct stage changes and fluctuations.
InfoFlow: A Transformer-based Time Series Anomaly Detection Model with Information Bottleneck and Normalizing Flows
Authors: Mo Yuhua , Fu Hongzhu , Bai Sen , Deng Chao , Tang Tiantian , Lang Jian , Zhou Fan
Published: September 2024

Time series anomaly detection aims to identify unusual samples that significantly deviate from the majority of the data. The greatest challenge lies in endowing models with the ability to learn effective differentiation criteria. Previous methods have focused on learning intricate, sophisticated representations to overcome these difficulties. However, these approaches are often hindered by spurious correlations, which limit their potential for further improving model performance and causality.To solve the problem, we propose a novel approach, called InfoFlow, which accurately extracts and identifies pertinent details within sequences while excluding anomalous entries. This is achieved by utilizing information bottleneck constraints throughout a transformer-based model. Our primary discovery suggests that anomalous data are rare and unevenly distributed within the observed points, resulting in the phenomenon of anomaly concentration, which complicates the identification. To mitigate this issue, we employ normalizing flows to adjust the sequence distribution to a more uniform range. This approach accentuates subtle variations in the data and enhances the algorithm's sensitivity to anomalies, thereby facilitating easier detection of outlier points. Extensive experiments on real-world datasets demonstrate that our InfoFlowapproach outperforms state-of-the-art benchmarks.
Enhancing Wi-Fi Security by Preventing Backward Compatibility Attacks on WPA3 Protocols
Authors: Tareef Aya , ABADLEH AHMAD , Alkasasbeh Anas A. , Alghamdi Mansoor
Published: September 2024

The widespread adoption of the Wi-Fi Protected Access III (WPA3) standard has been critical in wireless network security. However, the inherent vulnerability of wireless communication to unauthorized access presents a significant challenge. A critical concern is the potential for downgrade attacks, which can force the network's security protocol from WPA3 to WPA2, exploiting known vulnerabilities in the older standard. To mitigate this issue, many intrusion detection systems depend on fixed-threshold statistical approaches. However, these statistical approaches may prove inefficient in adapting to dynamic network conditions and attack behaviors. Therefore, adaptive selection and thresholding methods are required to compromise with the downgrade attack on WPA3. The proposed approach provides a hybrid adaptive approach for feature selection and thresholding with the goal of classifying incoming traffic containing downgrade attacks. It consists of three stages: (1) preprocessing, (2) baseline adaptive feature selection, and (3) real-time detection and prevention. The findings reveal that the developed approach, using a specially generated dataset, successfully detects downgrade attacks in WPA3 networks. Evaluation of the Naive Bayes classifier performance in both WPA3 modes demonstrates a high accuracy rate of approximately 99.8%. This result confirms the approach's effectiveness in detecting and mitigating wireless network security breaches.
Clinical Evaluation of a Polarization-Based Optical Noninvasive Glucose Sensing System
Authors: Leung Ho Man Colman , Gong Chengyue , Geiser Luke , Fivekiller Emily E. , Bui Nam , Vu Tam , Prioleau Temiloluwa , Forlenza Gregory P. , Liu Qiang , Zhou Xia
Published: September 2024

Diabetes affects millions in the US, causing elevated blood glucose levels that could lead to complications like kidney failure and heart disease. Recent development of a continuous glucose monitors has enabled a minimally invasive option, but the discomfort and social factors highlight the need for noninvasive alternatives in diabetes management. We propose a portable noninvasive glucose sensing system based on the glucose's optical activity property where it rotates linearly polarization light depending on its concentration level. To enable a portable form factor, a light trap mechanism is used to capture unwanted specular reflection from the palm and the enclosure itself. We fabricate four sensing prototypes and perform a multi-session clinical evaluation where 30 participants are provided with a prototype for a 5-day home monitoring study, collecting on average 8 data points per day. We identify the error caused by differences between the sensing boxes and the participants' improper usage. We utilize a machine learning pipeline together with Bayesian Ridge Regressor models and multiple-step data processing techniques to deal with the noisy data. Over 95% of the predictions fall in either Zone A (clinically accurate) or B (clinically acceptable) of the Consensus Error Grid with a 0.24 mean absolute relative differences.
Impact of Environmental Award & Financial Performance on Environmental Disclosure Quality: A Case Study of Listed Companies in Pakistan
Authors: Munir Muhammad Badar Ul , Ishfaq Muhammad
Published: September 2024

As global environmental concerns have grown, so too have calls for more corporate environmental transparency and responsibility. Businesses are participating in programs such as earning environmental awards and improving their financial performance to promote their company image and demonstrate that they are effective environmental stewards. This research examines the nexus between environmental awards, environmental disclosure quality, and the firm performance of non-financial companies. This research aims to determine if environmental disclosure, indicative of accountability and transparency, is affected by awards for environmental success. The study incorporated quantitative information from 300 non-financial businesses selected randomly to serve as a sample and anticipate beginning operations between 2016 and 2020. The findings suggest a connection between environmental disclosures' quality and environmental awards' attainment. Similarly, environmental disclosure quality is not affected by financial performance. The conclusions of this study could stimulate more accountable and responsible business practices, which would enhance our collective efforts to create a more sustainable and environmentally friendly future.
SUBJECTS
Environmental Management; Environment & Business; Environmental Economics; Business, Management and Accounting
Mathematical modeling of water sorption isotherms in specialty coffee beans processed by wet and semi-dry post-harvest methods
Authors: Escobar Gentil Andrés Collazos , Cortés Valeria Hurtado , Monje Andrés Felipe Bahamón , Guzmán Nelson Gutiérrez
Published: September 2024

This article addresses the experimental evaluation and mathematical modeling of water sorption isotherms of dried specialty coffee beans that have been processed by wet and semi-dry post-harvest methods. The study analyzed different water activities ranging from 0.1 to 0.85 and temperatures of 25, 35, and 45°C. The experimental isotherms were obtained using the dynamic dew point method (DDI). To model water sorption isotherms, 11 empirical models, 4 machine learning, and the Guggenheim-Anderson-de Boer (GAB) equation were used. The experimental data were randomly split into 75% for model training and 25% for validation. The experimental results show a type II water sorption isotherm and a significant temperature influence. Additionally, the sorption shape of the isotherms suggests that the mucilaginous coating, which covers the beans obtained by the semi-dry method, modifies the curves and plays a protective role against water sorption. The SVM model was the most accurate predictor to describe the upward sigmoidal type II sorption trend. The impact of temperature and water activity, as well as the post-harvest method, on the equilibrium moisture content (ERM = 0.21% and R2ad = 99.8%) suggests that it could be a valuable tool for predicting and optimizing storage conditions for both types of specialty coffee beans.
SPM-FL: A Federated Learning Privacy Protection Mechanism Based on Local Differential Privacy
Authors: Chen Zhiyan , Zheng Hong
Published: September 2024

Federated learning (FL) is a popular distributed machine learning approach that avoids data transfer to third parties by sharing and computing model parameters through a central server, thereby protecting client privacy. However, model weights and other information can still be analyzed and leaked. Currently, many methods in FL apply local differential privacy (LDP) to protect model parameters, but model accuracy significantly declines with smaller privacy budgets and varying numbers of clients. To address this issue, we propose the Symmetric Piecewise Mechanism (SPM) to perturb local model weight parameters before aggregation. First, we design an LDP mechanism that satisfies ε-differential privacy to ensure algorithmic privacy. Second, we introduce a variance-constrained mechanism suitable for FL, maintaining effectiveness with smaller privacy budgets and different client numbers. Finally, we compare the proposed mechanism with other algorithms on three public datasets in terms of model accuracy, variance, and privacy protection. Theoretical proofs demonstrate that our mechanism achieves the minimum variance and highest model accuracy under any privacy budget, showing superior performance.
Front propagation accelerated by convection-driven symmetry breaking in frontal polymerization
Authors: Gao Yuan , Feng Yuqun , Yu Xiaotong , Chen Rong , Geubelle Philippe
Published: September 2024

Biological and chemical reaction-diffusion systems involving front propagation often experience symmetry-breaking events that enable the formation of topological patterns. Symmetry breaking is also used in some bio-inspired manufacturing methods to control spontaneous pattern formation in products. Here, we report how symmetry breaking caused by the buoyancy-driven convection in frontal polymerization, a reaction-diffusion-based manufacturing process, can increase the velocity of the front through a reaction-diffusion-convection process under typical processing conditions. Such a phenomenon can be captured by a multi-physics reaction-diffusion-convection model, which provides insight into the underlying physics and describes how symmetry breaking affects the local heat exchange and promotes the chemical reaction rates. The limit of the front acceleration regime is also explored under super-gravity conditions, where the fluid-induced convective heat dissipation limits the front velocity and quenches the polymerization. With various orientations of the frontal polymerization front with respect to gravity, the magnitude and vorticity of the buoyancy flow vary, generating different effects on the velocity, shape, and instability of the propagation front.
Changes in Temperature Extremes over Malawi during 1961 to 2015
Authors: Mtewa Thokozani Kachulu , Ngongondo Cosmo , Dulanya Zuze , Boyce Clement , Mtilatila Lucy
Published: September 2024

Changes in temperature and its extremes have widely been among key indicators in the global climate change discourse. In this study, we analysed the spatial and temporal trends of temperature extremes over Malawi in Southern Africa during 1961 to 2015. The analysis was based on observed daily maximum and minimum temperatures (Tmax and Tmean) from 25 stations across the country. We derived 17 extreme temperature indices based on the WMO/CLIVAR Expert Team on Climate Change Detection and Indices (ETCCDI). These indices were analysed for significance of trend using the non-parametric Mann-Kendal test at α = 0.05 while their slopes were quantified using linear regression. The results suggest a countrywide warming pattern, with statistically significant increases in warming indices: SU25 at 7.56 days/decade; TR20 at 17.81 days/decade; Tmin at 0.46 oC/decade; TXx at 2.72 oC/decade; TNx at 2.20 oC/decade; TXn at 0.84 oC/decade; TN90p at 5.17 days /decade,; TX90p at 5.11 days/decade; and WSDI at 14.26 days/decade. In addition, the countrywide pattern suggest significant decreases in cold spell indices: CSDI at -2.17 days/decade, TN10p at -3.53 days/decade at TX10p at -30.40 days/decade. No significant changes were found in Tmax, TNn and DTR. The lack of trends in the DTR and TNn, coupled with the significant trends in Tmin and TNx suggest that the Tmin increased more than the Tmax across the country. The spatial pattern of the warming over Malawi is typical of regions experiencing considerable deforestation and urbanization.
A Markov Chain-Based Multi-Criteria Framework for Dynamic Cloud Service Selection Using User Feedback
Authors: Latifi Faride , Nassiri Ramin , Mohsenzadeh Mehran , Mostafaei Hamidreza
Published: September 2024

As the variety of cloud services continues to expand, organizations increasingly struggle to select the best options. This task is made more challenging by the ever-changing nature of user preferences, which shift based on evolving needs and feedback from previous service experiences. This paper tackles these issues by presenting a comprehensive multi-criteria decision-making (MCDM) framework to aid in cloud service selection. The framework utilizes a Markov chain model to analyze and discern patterns in user feedback, facilitating the ranking of cloud services based on both quality and user satisfaction metrics. By employing a Markov chain approach, the framework can track changes in user preferences over time, providing a dynamic means of evaluating cloud services. This system aids users in making informed choices by offering personalized recommendations that meet their specific needs and preferences. It also provides cloud service providers (CSPs) with valuable insights into market trends and customer expectations, helping them enhance their services. The framework's efficacy is demonstrated through a detailed simulation using real-world quality of service (QoS) data. Furthermore, a comprehensive sensitivity analysis is performed to assess the robustness and reliability of the proposed approach, ensuring its consistency.
Surface modification of astralenes for obtaining optical composites based on photocurable acrylates
Authors: Tarasov Valentine E. , Burunkova Julia A. , Sitnikova Vera E. , Karpov Sergey A. , Ivanov Aleksey V.
Published: September 2024

Polymers are a promising matrix for creating optical materials due to the possibility of imparting new properties to the material by introducing additives. In particular, astralenes, which are multilayer toroidal nanostructures, known as structure modifiers for some medium and also have nonlinear optical properties. Hower, the creation of an optical composite requires modification of the particle surface for uniform distribution of particles in the matrix. The two-stage modification technique developed by the authors allows reducing the amount of disordered carbon in the astralenes, as well as making them compatible with photocurable acrylic monomers. As a result, a transparent optical composite was obtained by photopolymerization. The success of the modification process is confirmed by the results of Raman and FTIR spectroscopy, TG analysis. The TEM method showed that the toroidal structure of the particles is preserved after the modification process. The study compared composites with 0.01, 0.05, 0.10%wt. astralenes and the original copolymer. It was found that the introduction of particles into the reaction mass reduces the polymerization rate by more than 40%. At the same time, the conversion degree in samples with and without astralenes is comparable. The transparency of the obtained composites in the visible region and NIR is comparable to the copolymer and is equal to ~ 90%. The introduction of astralenes in the selected concentrations does not significantly affect the optical band gap of the material.
Perspective of females from a rural community in India towards the knowledge, screening, and treatment of breast and cervical cancer, and preventive vaccination
Authors: Sundriyal Deepak , Bahurupi Yogesh , Rajaram Shalini , Singh Mahendra , Aggarwal Pradeep , Antil Preeti , Gupta Sweety , Sehrawat Amit
Published: September 2024

Purpose
The success of a preventive oncology program depends upon the general population's awareness of the disease, its magnitude, and the screening and prevention process. The objective of our study was to study the situational analysis of the awareness of a rural community population towards the most common cancers in females.
Methods
We conducted a cross-sectional study in the rural community of Uttarakhand, recruiting 589 participants from Pauri Garhwal. We developed a questionnaire comprising sociodemographic information, knowledge of the disease, early detection, and the attitude toward breast and cervical cancer treatment. We also registered the participant's knowledge and enthusiasm towards vaccination against cervical cancer. Local Non-Governmental Organization (Uttarakhand Manav Seva Samiti, Delhi) collaborated to conduct door-to-door interviews.
Results
Among the participants, 38% and 79% had never heard about breast and cervical cancer, respectively. The knowledge about various signs and symptoms of breast cancer varied from 14–50%. Only 36.1% (132) and 11.5% (42) of the participants having heard about breast cancer were aware of breast examination and mammography including its utility to diagnose early breast cancer. The knowledge about various signs and symptoms of cervical cancer varied from 11–55%. Only 6.5% of them have heard about preventive vaccination. Nearly 57% and 56% of the participants expressed eagerness to participate in cancer screening programs. Younger (< 40 years) and literate participants were likelier to have statistically significant knowledge, awareness, and a positive attitude toward the disease.
Conclusion
A forbidding lack of awareness in the rural community has been observed towards breast and cervical cancers. Strengthening educational activities in the rural community against these cancers seems to be an indispensable step toward a preventive oncology program.
Seasonal shifts in the gut microbiome of Halyomorpha halys
Authors: Fluch Maja Regina Amalie , Corretto Erika , Feldhaar Heike , Schuler Hannes
Published: September 2024

The gut microbiome plays an important role in insect evolution and ecology. Bacteria support the host nutrition and defense and therefore play an important role for the fitness of the host. Halyomorpha halys is one of the most important invasive pest species in the world. Native to North-Eastern Asia, this Pentatomid bug has recently invaded North America and Europe, causing significant damage to agricultural production. Although an increasing number of studies investigated the biology of this pest species, little is known about its associated microorganisms. Like many other Pentatomid species, H. halys harbors a primary symbiont called ‘Candidatus Pantoea carbekii’, that produces vitamins and essential amino acids for the host. However, information about the presence of other bacteria is currently lacking. Therefore, we investigated the gut microbiome of H. halys individuals, which were collected in the field across the year using a high-throughput 16S rRNA gene metabarcoding approach. Our results revealed 645 different ASVs associated with H. halys, with Pantoea being the most abundant symbiont, present in almost all individuals. Interestingly, several individuals collected in summer harbor Commensalibacter. Besides these two predominant taxa, we show a high diversity of microorganisms associated with H. halys with seasonal fluctuations, highlighting a dynamic microbiome which might influence the biology of the species.
Mood swings, abdominal obesity, and heart failure: A Mediation Mendelian Randomization Study
Authors: Wu Yetong , Gao Xueping , Fang Qinghua , Shen Ting , Tan Jie , Li Qiaoqiao , Huang Jing
Published: September 2024

Background:Prior research has demonstrated a correlation between mood swings (MS) and heart failure (HF), as well as a potential link to abdominal obesity. Nevertheless, the precise connections among MS, abdominal obesity, and HF require further investigation for clarification.
Methods: Two-sample Mendelian randomization (MR) was used to analyze the causal relationships between MS and HF, combining five types of cardiovascular diseases (CVDs) risk factors to explore their effects on HF. Multivariable MR analysis was used to exclude confounding factors. A two-step MR approach was used to quantify potential mediating effects of CVDs risk factors in the causal relationships between MS and HF.
Results: Individuals with MS had a significantly higher risk of heart failure (HF) and chronic HF. They also had increased waist-to-hip ratio (WHR), trunk fat mass (TFM), and trunk fat percentage (TFP), which further increased their risk of HF. Mediation effects analysis indicated that in the causal effects of MS on HF, WHR contributed 20.79% (95% CI = -1.83% - 43.42%), TFP contributed 19.10% (95% CI = 2.90% - 35.3%), and TFM contributed 25.02% (95% CI = 5.48% - 44.56%).
Conclusion: WHR, TFM, and TFP respectively play considerable independent mediating roles in the causal effects of MS on the risk of developing HF, and it is possible to indirectly reduce the risk of developing HF associated with MS by managing mood and controlling abdominal obesity.
Land Use Classification using Time-Series Sentinel-2 Images with Deep Learning Ensemble Network
Authors: Jagannathan J. , Vadivel M. Thanjai , Divya C.
Published: September 2024

Background
The classification of land use is crucial in terms of urban planning, management as well as environmental monitoring. There are many differences in the class characteristics of land-use types, and it is demanding to accurately recognize each. WPe can use spectral and spatial features which are inherent to the Sentinel-2 images for this purpose.
Objective
The system enables researchers to suggest and compare a novel method of the time-series land use classification from Sentinel-2 images that focuses on temporal adjustments in Katpadi evolving area under Vellore District for 2017-2024.
Problem Statement
However, traditional land use classification methods have certain limitations in recognizing various forms of land cover types aptly through time. However these methods frequently are plagued by problems of accuracy and efficiency, making them less suitable for dynamic environments.
Methodologies
Over time, we apply a deep learning ensemble network for land cover type classification. This method is the one that adds many of spectral and spatial features of Sentinel-2 images to their model. The ensemble derivative network is specialized to capture intricate relationships and patterns among different land cover classes by integrating multiple continuous information in the nested time-series data.
Results/Findings
Using a benchmark, we assessed our approach using actual Sentinel-2 timeseries data. The outcomes of the experiments suggest that the ensemble network that has been suggested can perform better than previous include/exclude models and conventional classification methods. The suggested approach outperforms the most advanced land use classification system currently in use, demonstrating that UDA has great potential as a remote sensing instrument.
Exploration of biomarkers associated with histone lactylation modification in spinal cord injury
Authors: Sun Yisong , Gao Jie , Jing Juehua
Published: September 2024

Background
The biological functions of histone lactylation (HLA) modification-related genes (HLMRGs) in spinal cord injury (SCI) are unknown. Therefore, we explored the expression and molecular mechanism of HLMRGs in SCI by bioinformatics means.
Methods
GSE151371, GSE47681, and 10 HLMRGs were incorporated in this study. Biomarkers were screened based on the receiver operating characteristic curves for the modeling of logistic regression and nomogram. Additionally, gene set enrichment analysis (GSEA) was executed to detect biomarkers’ functions. Samples were clustered based on biomarkers, identifying distinct groups. Differential expressed genes between these clusters were determined, and inter-cluster analyses of Hallmark pathways, HLA genes, and immune functions were conducted. Weighted gene co-expression network analysis (WGCNA) was used to select cluster-related module genes for protein-protein interaction (PPI) network construction, pinpointing key proteins. miRNA-TF-biomarker and drug-biomarker networks were established. Biomarker expression was validated using reverse transcription quantitative polymerase chain reaction (RT-qPCR).
Results
In GSE151371, 8 biomarkers (HDAC1, HDAC2, HDAC3, SIRT1, SIRT3, LDHA, LDHB, and GCN5 (KAT2A)) with AUC > 0.7 were significantly different expressed between SCI and control samples. 8 biomarkers were different expressed in 2 clusters. By differential expression analysis of cluster 1 versus cluster 2, enriched in ‘phosphatidylinositol signaling system’ etc. Finally, a miRNA-TF-biomarker network comprising eight biomarkers were constructed. The expression validation of eight biomarkers by RT-qPCR, LDHA were high expression, while HDAC3 and SIRT3 were low expression in SCI.
Conclusion
In summary, 8 biomarkers playing an important role in SCI were identified, which provided in-depth references for HLMRGs in SCI.
Comparison of laparoscopic lateral suspension and high uterosacral ligament suspension for apical prolapse: a retrospective clinical study
Authors: Yu Ya , Mei Ling , Chen Yueyue , Cui Tao , Wei Dongmei , Niu Xiaoyu
Published: September 2024

Purpose: The aim of this retrospective clinical study is to assess clinical outcomes, patient satisfaction between laparoscopic lateral suspension (LLS) with mesh and laparoscopic high uterosacral ligament suspension (LHUS) for apical prolapse with or without anterior prolapse.
Methods: Patients who underwent LLS with mesh or LHUS from 2019 to 2023 at the Second West China Hospital of Sichuan University were enrolled in this retrospective study. The objective outcomes were evaluated based on the anatomical success rate according to the Pelvic Organ Prolapse Quantification System (POP-Q). The subjective outcomes were assessed using the Pelvic Floor Distress Inventory (PFDI-20) questionnaire, Pelvic Floor Impact Questionnaire (PFIQ-7), Patient Global Impression of Improvement (PGI-I) scores and complications rate. Complications were defined according to the Clavien-Dindo scale. The outcomes of postoperative 3, 6 and 12 months were analyzed retrospectively.
Results: The objective and subjective outcomes indicated improvements in both groups. There was no statistically significant difference between the two groups in the change of subjective outcomes. The short-term objective and subjective outcomes for both techniques were found to be comparable. The anatomical success rate for apical and anterior prolapse was 93.85% in LHUS group, 93.44% in LLS group. LLS demonstrated a superior effect on the degree of postoperative point Ba improvement comparing to LHUS.
Conclusion: LHUS and LLS are effective, safe surgical techniques for apical prolapsed, with or without anterior prolapsed, exhibiting low complication rates and high anatomic curative rates. LLS demonstrated certain advantages over LHUS in anterior improvement and symptom improvement compared to LHUS.
Composite pattern and control in Gierer Meinhardt model
Authors: Li Hua , Xiao Min , Gorbachev Sergey , Cao Jinde , Gómez-Aguilar J. F.
Published: September 2024

This paper comprehensively considers the two-dimensional spatiotemporal dynamics of the Gierer-Meinhardt model, with the cross-diffusion coefficients as bifurcation parameters. Through multiscale analysis, the amplitude equation at the Turing threshold is derived. The paper sequentially analyzes the effects of cross-diffusion coefficients, Proportional-Derivative controller, fractional diffusion orders, and anisotropy on the system’s stability, pattern formations, and evolution speed. Numerical simulations are provided to validate the conclusions.
ATM phosphorylation of CD98HC increases antiporter membrane localization and prevents chronic toxic glutamate accumulation in Ataxia telangiectasia
Authors: Bishop Alexander , Romero July Carolina , Tonapi Sonal , Parihar Manish , Loranc Eva , Miller Henry , Lawrence Liesl , Bassani Nicklas , Robledo Daniel , Cao Lin , Nie Jia , Kanda Kairi , Stoja Aiola , Garcia Natalia , Gorthi Aparna , Stoveken Brian , Lane Andrew , Fan Teresa , Cassel Teresa , Zha Shan , Musi Nicolas
Published: September 2024

Ataxia telangiectasia (A-T) is a rare genetic disorder characterized by neurological defects, immunodeficiency, cancer predisposition, radiosensitivity, decreased blood vessel integrity, and diabetes. ATM, the protein mutated in A-T, responds to DNA damage and oxidative stress, but its functional relationship to the progressive clinical manifestation of A-T is not understood. CD98HC chaperones cystine/glutamate (xc−) and cationic/neutral amino acid (y+L) antiporters to the cell membrane, and CD98HC phosphorylation by ATM accelerates membrane localization to acutely increase amino acid transport. Loss of ATM impacts tissues reliant on SLC family antiporters relevant to A-T phenotypes, such as endothelial cells (telangiectasia) and pancreatic α-cells (fatty liver and diabetes) with toxic glutamate accumulation. Bypassing the antiporters restores intracellular metabolic balance both in ATM-deficient cells and mouse models. These findings provide new insight into the long-known benefits of N-acetyl cysteine to A-T cells beyond oxidative stress through removing excess glutamate by production of glutathione.
Oncomelania lorelindoensis: the intermediate hosts of Sulawesi 's Schistosoma japonicum
Authors: Nelwan Martin L.
Published: September 2024

Background
Oncomelania lorelindoensis is the intermediate host of Sulawesi’s Schistosoma japonicum. Schistosoma japonicum in Sulawesi originated from Anhui Guichi, China. Oncomelania lorelindoensis is one of the species in the genus Oncomelania. In this study, I report a study of Oncomelania lorelindoensis as the intermediate hosts of Sulawesi schistosomiasis japonica, their distributions in Sulawesi, and the control of O. lorelindoensis.
Results
Proto-Oncomelania originated in eastern Indonesia, Sulawesi. It spread to the Philippines, Japan, and China and then gave rise to Oncomelania. It is the intermediate host of Schistosoma japonicum. Five species are found in the genus Oncomelania, namely O. hupensis, O. lorelindoensis (formerly O. hupensis lindoensis), O. minima, O. robertsoni, and O. quadrasi. Further sequencing reveals that O. robertsoni has one subspecies, i.e., O. robertsoni robertsoni. Oncomelania lorelindoensis occurs in and around Lore Lindu National Park: the Bada Valley, the Lindu Valley, and the Napu Valley, Central Sulawesi. It may have occurred in the Kulawi Valley and the Palu Valley, Sigi Regence, Central Sulawesi Province. Control of O. lorelindoensis can use mechanic techniques, molluskicides, and genetic manipulation techniques.
Conclusions
Oncomelania lorelindoensis is found in Central Sulawesi, Indonesia. It occurs in the Bada Valley and the Napu Valley of Poso Regence and the Lindu Valley of Sigi Regence. It may also have occurred in other regions around Lore Lindu National Park. The intermediate host of Sulawesi S. japonicum is O. lorelindoensis. Subspecies in O. robertsoni should be named O. robertsoni robertsoni.
Assessment of the Quality of Groundwater Sources From Karu and New Nyanya, Nasarawa State, Nigeria
Authors: Nneka Oyaka Blessing
Published: September 2024

The quality of underground water sources from Karu and New Nyanya was assessed to ascertain the suitability for domestic use. Physicochemical parameters; pH, Conductivity, TDS, DO, Turbidity, TH, Chloride, Nitrate and Sulphate were determined using standard methods and the metals; Copper, Lead, Zinc, Iron, Chromium and Cadmium were determined using Atomic Absorption Spectrometric method. The result obtained showed that pH, Conductivity, TDS, DO, Turbidity TH, Chloride, Nitrate and Sulphate were (6.25 ±0.21 mg/L), (462.00±2.83 mg/L) (277.00±2.83 mg/L), (5.20±0.14 mg/L), (0.00±0.00 NTU), (62.09±1.54 mg/L), (0.01±0.01 NTU), (15.00±0.95 mg/L) and ND for borehole and (6.75±0.21 mg/L), (221.00±2.83 mg/L), 130.60±0.85 mg/L), (3.80±0.00 mg/L), (14.43±0.66 NTU), (42.94±0.76), ND, (3.50±0.92 mg/L), and ND for well water in Karu. For Nyanya (6.65±0.21 mg/L), (421.00±2.21 mg/L), (254.00±2.21), (3.50±0.14 mg/L), (0.00±0.00 NTU), (2.32±0.13 mg/L), ND, (2.90±0.85 mg/L), and ND for borehole and (6.50±0.14 mg/L), (75.50±2.12 mg/L), (282.00±2.83 mg/L), (3.83±0.03 mg/L), (17.43±0.66 NTU), (1.73±0.33 mg/L), ND, (0.10±0.01 mg/L), (5.00±0.75 mg/L) for well. For metals; Cooper Lead, Zinc, Iron, Chromium and Cadmium (0.27±0.03 mg/L), (0.34±0.05 mg/L), (4.32±0.32 mg/L), (0.05±0.02 mg/L), (0.56±0.05 mg/L), (0.96±0.01 mg/L) for borehole and (0.41±0.02 mg/L), (0.94±0.05 mg/L), (0.62±0.02 mg/L), (2. 27±0.38 mg/L), (0.05±0.02 mg/L), (1.16±0.22 mg/L) for well in Karu. For Nyanya (0.26±0.02 mg/L), (0.64±0.02 mg/L), (0.51±0.00 mg/L), (2.31±0.44 mg/L), (0.06±0.03 mg/L), (0.94±0.01 mg/L) for borehole and (0.37±0.04 mg/L), (0.63±0.01 mg/L), (0.46±0.02 mg/L), (3.04±0.06 mg/L), (0.06±0.03 mg/L), (0.71±0.01 mg/L) for well water. For physicochemical parameters; pH, Conductivity, TDS, DO, TH and Nitrate are within WHO and NSDWQ standards for both water samples in the two locations while Turbidity is higher (14.43±0.66 - 17.43±0.66 NTU) for wells. Chloride has (0.01±0.01 mg/L) in borehole water from Karu. Sulphate has (5.00±0.75mg/L) in well water from Nyanya. For metals, the concentration for both water samples from the two locations are higher except for Copper and Iron (0.26±0.02 - 0. 41±0.02 mg/L) and (0.46±0.02 - 0.62±0.02 mg/L) which are within WHO and NSDWQ standards. The water samples are polluted by some contaminants that are higher than the standards. It is therefore recommended that the water be treated before use.
An Enhanced Self-Organizing Genetic Algorithm for Optimizing Path in Container Transportation Routing under Time Windows
Authors: Yves Ndikuriyo , Zhang Yinggui , Fomb Dung Davou
Published: September 2024

International trade and economic development of a region are basically facilitated by efficient container transport planning. To determine optimal routes considering different factors such as distance, cost, and time, this study combines mixed integer linear programming and enhanced Self-Organizing Genetic Algorithms (SOGA) along with Dijkstra's Algorithm. A case study examining transport from Dar es Salaam (Tanzania) to Bujumbura (Burundi), illustrates the model's potential to deliver substantial cost savings and improved delivery times. Policymakers and logistics managers can benefit greatly from these findings, which highlight the significance of multimodal transport options in increasing the effectiveness and sustainability of container logistics within the East African Community. Consequently, more aspects such as the effects on the environment, the state of the roads, and seasonal fluctuations should be taken into account in future studies.
KI-Kunst als Form algorithmischer Artikulation
Authors: Ahlborn Juliane
Published: September 2024

Der Beitrag widmet sich der Frage, inwiefern KI-Kunst als algorithmische Form der Artikulation verstanden werden kann. Nach einem kurzen Streifzug durch die Geschichte algorithmischer Kunst beleuchtet der Beitrag in einem ersten Schritt – unter besonderer Berücksichtigung der Rolle des Menschen – die vielfältigen Facetten von KI-Kunst. In einem zweiten Schritt nimmt der Beitrag das Verhältnis von Artikulation und Subjektivierung in den Blick, um den Umgang mit KI in kreativ-künstlerischen Szenarien aus einer subjekttheoretischen Perspektive erfassen zu können. Abschließend gibt der Beitrag einen Ausblick auf methodologische und methodische Anschlüsse.
Differences in the Hydration State of Riparian Pecan Trees Between Rural and Urban Settings
Authors: Snook Michael , Matheny Ashley , Restrepo Acevedo Ana Maria , Ulatowski Maria
Published: September 2024

Urbanization causes changes in near-surface meteorology and rainfall-runoff relationships that threaten to place hydraulic stress on vegetation. The goal of this study was to investigate the differences in riparian zone tree hydration state, as indicated by leaf water potential, between an urban and a rural stream site, and to understand how the trees respond differently to precipitation events. At the rural stream site, the streambed was dry due to persistent drought conditions, whereas the urban stream site had established flow due to urban water inputs. The trees at the urban site were found to suffer less hydraulic stress than the trees at the rural site, as indicated by predawn leaf water potential measurements. Additionally, trees at the rural site were found to regulate stomatal openness to reduce transpiration on the day before rain, but not after, due to the presence of near-surface moisture introduced by the rain event. Trees at the urban site did not have to regulate stomatal openness before or after the rain, as the established flow in the stream provided consistent water access. These findings support the viability of protecting and preserving riparian ecosystems in urban settings.
Field theory of collinear and noncollinear magnetic order
Authors: Tchernyshyov Oleg
Published: September 2024

These lecture notes from the 2023 Summer School ``Principles and applications of symmetry in magnetism’’ introduce the reader to the classical field theory of ferromagnets and antiferromagnets.
IMPACT OF EMPLOYEE SATISFACTION AND RETENTION TOWARDS ORGANIZATIONAL PERFORMANCE IN THE SERVICE INDUSTRY
Authors:   PusatTamhidi, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia., Ilyana Ismarau Tajuddin Nur , Haron Nurfaradilla ,   Academy of Contemporary Islamic Studies, UniversitiTeknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Aziyatul Izni Nor ,   Centre of Foundation Studies, UniversitiTeknologi MARA, Cawangan Selangor, Kampus Dengkil, 43800 Dengkil, Selangor, Malaysia., Mohd Ali Aeshah ,   Department of Marketing, Faculty of Business and Management, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia., Asiah Mahmood Nor ,   College of Business Administration, Prince Sultan University, 66833 Riyadh, Saudi Arabia., Hui Min Chai ,   Department of Management Studies, Faculty of Business and Management, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia., Qiyen Chen ,   Department of Management Studies, Faculty of Business and Management, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia.
Published: September 2024

Human resources are the most important aspect in the organizations as it helps to achieve organizational performance. Nowadays, the biggest challenge that organizations are facing is to satisfy their employees and retain them. Retention of highly skilled employees enable organizations to improve their performance that contribute to maintaining competitive advantage and competitiveness in the market. To achieve employee retention, one of the key aspects is improving employee satisfaction for maintaining high organizational performance. Thus, the primary focus of this paper is to review various literature and research on how employee satisfaction and retention affect organizational performance among employees in the service industry. A data collection was conducted using questionnaires for data collection among employees in the service industry. The research model focuses on the measurement of 5 factors, such as teamwork, working conditions, employee loyalty, employee retention and organizational performance. The findings indicate that employee loyalty has significant effects over organizational performance, employee retention has significant effect over working conditions and employee loyalty. In contrast, teamwork, working conditions and employee retention have no significant effects over organizational performance. The findings for this study can be used as a guideline for employee satisfaction and retention towards organizational performance.
TREATMENT OF IMMUNE THROMBOCYTOPENIC PURPURA (ITP) IN AYURVEDA - A CASE STUDY
Authors:   MD in Ayurveda (Dravyaguna), B.A.M.S, N.D.D.Y., Chauhan Vikram , Chauhan Meenakshi ,   MD in Alt-Medicine, B.A.M.S (Gold Medalist).
Published: September 2024

ITP (Idiopathic Thrombocytopenic Purpura) is an autoimmune disorder caused by a decrease in the number of platelets in the blood. Platelets are cells present in the blood that help in coagulation (helps stop bleeding). Low platelets can lead to bleeding gums, easy bruising and internal bleeding. Idiopathic means the cause is unknown. Thrombocytopenia means a decrease in the number of platelets in the blood. Purpura means a purple discoloration of the skin, as caused by bruising. A 6-year-old male patient complained of epistaxis, bruising, low platelet count, bleeding gums and occasional blood in stools. The clinical findings and symptoms of the patient are considered to be due to ITP. In Ayurvedic diagnosis, it is associated with TiryagataRaktapitta. Along with this, the patient was also given Platoplan Syrup, SwarnVasantMalti Rasa, Kumar KalyanRas, Cap Ashwagandha, Immune Booster etc. After 1 month of taking the medicine, the patients got some relief from the medicine. After completion of the medication, the patient gets relief from the symptoms and most commonly the platelet count decreases.