bluuebunny/crossref_metadata_2025 huggingface dataset:
Radiative Heat Flux Measurement in a Semi-Industrial Oxyfuel Combustion Chamber with Biomass and Coal
Authors: Richter Marcel , König Dominik , Ströhle Jochen , Epple Bernd
Published: June 2024

Oxyfuel is a combustion technology where the oxidant consists mainly of oxygen and carbon dioxide instead of oxygen and nitrogen. Since carbon dioxide has strongly absorbing bands in the thermal spectrum, the radiation properties of the flame change in an oxyfuel atmosphere compared to conventional combustion. When retrofitting an existing air-fired combustion system to an oxyfuel process, the oxygen content in the oxidant must be adjusted so that similar values for heat transfer by radiation are achieved. This measure allows the system to be operated with otherwise unchanged parameters. In this work, the thermal radiation of natural gas, pulverised walnut shells and lignite under an air and oxyfuel atmosphere is investigated in a semi-industrial combustion chamber with water-cooled membrane walls, at different oxygen concentrations and combustion parameters. While the radiative heat fluxes for natural gas with an oxygen content of 28 vol% in the oxidant are significantly higher than those for firing with air, the values for lignite are still below the air-firing, even with an oxygen content of 30 vol%. For walnut shells, the oxyfuel results are close to the air case for all oxygen concentrations between 27 and 33 vol%. The walnut shells show higher radiative emissions than the lignite at the same thermal output. For non-swirled flames, the radiative heat flux is lower than for swirled flames.
Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach
Authors: Shabangu Khaya Pearlman , Chetty Manimagalay , Bakare Babatunde Femi
Published: June 2024

Microbial fuel cells (MFCs) have garnered significant attention due to their capacity to generate electricity using renewable and carbon-neutral energy sources such as wastewater. Extensive experimental work and modeling techniques have been employed to dissect these processes and understand their respective impacts on electricity generation. The driving force is to enhance MFC performance for practical applications commercially. Among the various statistical modeling approaches, one particularly robust tool is the Design of Experiments (DoE). It serves to establish the relationships between different variables that influence MFC performance and allows for the optimization of the MFC configuration and operation for scaled-up performances in terms of bioelectricity generation. This study focused on optimizing microbial fuel cells (MFCs) for bioelectricity production using industrial wastewater treatment, employing the Box–Behnken design (BBD) methodology. Through an analysis of response surface models and ANOVA tests, it was found that a combined approach of reduced quadratic, reduced two-factor interaction, and linear models yielded sound results, particularly in voltage yield, COD removal, and current density. Second-order regression models predicted optimal conditions for various parameters, with surface area, temperature, and catholyte dosage identified as critical input variables for optimization. Under these conditions, conducted by the four-factor and three-level Box–Behnken design methodology in a double-chamber MFC unit considering eight output variables—CCV yield, % COD removal, current density, power density, % TSS removal, % CE, and % PO43−—the optimum values were 700 mV, 54.4%, 54.4 mA/m2, 73.7 mW/m2, 99%, 21.2%, and 100%, respectively. At optimum operating conditions, the results revealed a desirability of 76.6% out of a total of 92 iterations. The paper highlights the effectiveness of statistical ANOVA fit-statistics modeling and optimization in enhancing DCMFC performance, recommending its use as a sustainable bioenergy source. Furthermore, validation results supported the above optimization output response findings and confirmed the viability of biorefinery wastewater as an anolyte for scaling up DCMFC bioelectricity generation.
Dynamics and Wake Interference Mechanism of Long Flexible Circular Cylinders in Side-by-Side Arrangements
Authors: Chang Shuqi , Zhang Luoning , Zhang Zhimeng , Ji Chunning
Published: June 2024

The vortex-induced vibrations of two side-by-side flexible cylinders in a uniform flow were studied using a three-dimensional direct numerical simulation at Reynolds number Re = 350 with an aspect ratio of 100, and a center-to-center spacing ratio of 2.5. A mixture of standing-traveling wave pattern was induced in the in-line (IL) vibration, while the cross-flow (CF) vibration displayed a standing-wave characteristic. The ninth vibration mode prominently occurred in both IL and CF directions, along with competition between multiple modes. Proximity effects from the neighboring cylinder caused the primary frequency to be consistent between IL and CF vibrations for each cylinder, deviating from the IL to CF ratio of 2:1 in isolated cylinder conditions. Repulsive mean lift coefficients were observed in both stationary and vibrating conditions for the two cylinders due to asymmetrical vortex shedding in this small gap. Comparatively, lift and drag coefficients were notably increased in the vibrating condition, albeit with a lower vortex shedding frequency. Positive energy transfer was predominantly excited along the span via vortex shedding from the cylinder itself and the neighboring one, leading to increasing lower-mode vibration amplitudes. The flip-flopping (FF) wake pattern was excited in the stationary and vibrating cylinders, causing spanwise vortex dislocations and wake transition over time, with the FF pattern being more regular in the stationary cylinder case.
Network Reconfiguration for Loss Reduction Using Tabu Search and a Voltage Drop
Authors: Ñaupari Huatuco Dionicio , Filho Luiz , Pucuhuayla Franklin , Rodriguez Yuri
Published: June 2024

This paper introduces a new algorithm designed to address the challenge of distribution network reconfiguration, employing the tabu search metaheuristic in conjunction with the voltage drop concept. Distinguishing itself from existing methods, our proposed approach not only utilizes voltage drop for obtaining the initial solution but also introduces a novel technique for generating a candidate solution neighborhood. This method leverages both randomness and voltage drop, ensuring a smooth and steady descent during algorithm execution. The primary goal of our algorithm is to minimize active power losses within distribution networks. To validate its effectiveness, the proposed method underwent testing on three commonly referenced distribution systems: the 33-Bus, 69-Bus, and 94-Bus systems, widely acknowledged in the literature. A pivotal aspect of our work involves the synergy of the tabu search algorithm with a combination of both random and deterministic methods for generating neighbors. This strategic amalgamation plays a crucial role, enabling rapid execution while consistently yielding high-quality solutions. Additionally, the adoption of the electric distance method for generating the initial solution adds significant value, offering a commendable solution with minimal computational effort. Comparative assessments against other algorithms documented in the literature underscore the superior efficiency of our proposed algorithm.
Advanced Technology for Energy, Plant Nutrients and Water Recovery at Wastewater Treatment Plants
Authors: Chmielewski Andrzej G. , Sudlitz Marcin , Żubrowska-Sudoł Monika
Published: June 2024

In present times, with increasing emphasis on circular economies, municipal wastewater treatment plants (WWTPs) are considered resource recovery facilities. The targeted resources are water, biogas, and sludge, organic residuals containing nutrients and elements needed by plants (nitrogen and phosphorus). Sludge is a byproduct that constitutes the largest volume of all other byproducts obtained in wastewater treatment plants. Its processing and disposal are challenging for environmental engineers because of its complexity. Thus, quick development and implementation in industrial practice of sludge valorization and utilization technologies is required, where high nutrient content must be taken into account. Also, the occurrence of a variety of pathogens in sewage sludge is a matter of concern, even in the case of developed countries. The use of untreated sludge or wastewater in agricultural activities poses a serious risk of bacterial and parasitic infection in human beings. To overcome such issues, the application of ionizing radiation processing, especially electron beam (EB), can be considered a promising method. Its effectiveness in pathogen removal has been proven by researchers. Water radiolysis products created during irradiation of water are highly reactive and cause some effects such as DNA damage, OH • radical production, etc. Additionally, ionizing radiation technologies in sewage sludge treatment enhance the efficiency of the methane fermentation process. Depending on specific needs, different types of ionizing radiation sources can be discussed. Based on the review information and our research results, the basic engineering parameters of hybrid installation have been presented as the conclusion of the report. In this technical solution, a notably effective additional step would be the use of EB irradiation, combined with conventional wastewater treatment, to achieve efficient removal of pollutants.
PARG Protein Regulation Roles in Drosophila Longevity Control
Authors: Bordet Guillaume , Tulin Alexei V.
Published: June 2024

Aging, marked by a gradual decline in physiological function and heightened vulnerability to age-related diseases, remains a complex biological process with multifaceted regulatory mechanisms. Our study elucidates the critical role of poly(ADP–ribose) glycohydrolase (PARG), responsible for catabolizing poly(ADP–ribose) (pADPr) in the aging process by modulating the expression of age-related genes in Drosophila melanogaster. Specifically, we uncover the regulatory function of the uncharacterized PARG C-terminal domain in controlling PARG activity. Flies lacking this domain exhibit a significantly reduced lifespan compared to wild-type counterparts. Furthermore, we observe progressive dysregulation of age-related gene expression during aging, accelerated in the absence of PARG activity, culminating in a premature aging phenotype. Our findings reveal the critical involvement of the pADPr pathway as a key player in the aging process, highlighting its potential as a therapeutic target for mitigating age-related effects.
Longitudinal Analysis of Mitochondrial Function in a Choline-Deficient L-Amino Acid-Defined High-Fat Diet-Induced Metabolic Dysfunction-Associated Steatohepatitis Mouse Model
Authors: Yamada Akiko , Watanabe Akira , Nara Atsushi , Ishimaru Naozumi , Maeda Kosuke , Ido Yusuke , Kotake Kazumasa , Asano Masatake , Shinohara Yasuo , Yamamoto Takenori
Published: June 2024

Metabolic dysfunction-associated fatty liver disease (MAFLD) is one of the most common chronic liver diseases worldwide. Some patients with MAFLD develop metabolic dysfunction-associated steatohepatitis (MASH), which can lead to severe liver fibrosis. However, the molecular mechanisms underlying this progression remain unknown, and no effective treatment for MASH has been developed so far. In this study, we performed a longitudinal detailed analysis of mitochondria in the livers of choline-deficient, methionine-defined, high-fat-diet (CDAHFD)-fed mice, which exhibited a MASH-like pathology. We found that FoF1–ATPase activity began to decrease in the mitochondria of CDAHFD-fed mice prior to alterations in the activity of mitochondrial respiratory chain complex, almost at the time of onset of liver fibrosis. In addition, the decrease in FoF1–ATPase activity coincided with the accelerated opening of the mitochondrial permeability transition pore (PTP), for which FoF1–ATPase might be a major component or regulator. As fibrosis progressed, mitochondrial permeability transition (PT) induced in CDAHFD-fed mice became less sensitive to cyclosporine A, a specific PT inhibitor. These results suggest that episodes of fibrosis might be related to the disruption of mitochondrial function via PTP opening, which is triggered by functional changes in FoF1–ATPase. These novel findings could help elucidate the pathogenesis of MASH and lead to the development of new therapeutic strategies.
Clinical Outcomes and Safety of Transcatheter Arterial Embolization in Patients with Traumatic or Spontaneous Psoas and Retroperitoneal Hemorrhage
Authors: Oh Chang Hoon , Cho Soo Buem , Kwon Hyeyoung
Published: June 2024

Background: We aimed to assess the effectiveness and safety of transcatheter arterial embolization (TAE) in the management of spontaneous or traumatic psoas and/or retroperitoneal hemorrhage. Methods: This single-center retrospective study enrolled 36 patients who underwent TAE for the treatment of psoas and/or retroperitoneal hemorrhage between May 2016 and February 2024. Results: The patients’ mean age was 61.3 years. The spontaneous group (SG, 47.1%) showed higher rates of anticoagulation therapy use compared with the trauma group (TG, 15.8%) (p = 0.042). The TG (94.7%) demonstrated higher survival rates compared with the SG (64.7%; p = 0.023). Clinical failure was significantly associated with the liver cirrhosis (p = 0.001), prothrombin time (p = 0.004), and international normalized ratio (p = 0.007) in SG and pRBC transfusion (p = 0.008) in TG. Liver cirrhosis (OR (95% CI): 55.055 (2.439–1242.650), p = 0.012) was the only identified independent risk factor for primary clinical failure in the multivariate logistic regression analysis. Conclusions: TAE was a safe and effective treatment for psoas and/or retroperitoneal hemorrhage, regardless of the cause of bleeding. However, liver cirrhosis or the need for massive transfusion due to hemorrhage increased the risk of clinical failure and mortality, necessitating aggressive monitoring and treatment.
The Influence of the Big Five Personality Traits and Propensity to Trust on Online Review Behaviors: The Moderating Role of Gender
Authors: Kordzadeh Nima , Bozan Karoly
Published: June 2024

This study investigates the impacts of the Big Five personality traits and propensity to trust on the use and writing of online reviews. Additionally, this study examines how gender moderates these impacts. Results of a survey (n = 840) show that openness to experience and conscientiousness positively influence online review use, while openness to experience and extraversion positively influence online review writing. Moreover, gender moderates the impacts of extraversion, openness to experience, and agreeableness on online review writing, with no moderating effect observed for online review use. Our findings contribute to the electronic word-of-mouth (eWOM) literature and offer important practical insights for eWOM platforms.
The Dative Markers and Their Developments in Hunan Sinitic Languages
Authors: Gao Xinyi
Published: June 2024

This study is based on a sample of 30 Sinitic languages spoken in the Hunan Province. Its first objective is to explore the types of dative markers, comparing the form of the dative with allative, passive, benefactive, and differential object markers in these languages. Five patterns are identified: (I) DAT = ALL (II) DAT = GIVE = OM ≠ PASS; (III) DAT = GIVE = OM = PASS; (VI) DAT = GIVE = PASS ≠ OM; (V) DAT = BEN. Then, we reveal three main possible grammaticalization pathways that motivate the five synchronic patterns: (a) Allative > Dative; (b) (TAKE >) GIVE > Dative; (c) Benefactive > Dative. It concerns two distinct developments for the second pathway. Based on the areal distribution of the various types of dative markers, we can observe how the dative markers are developed in Hunan Sinitic languages.
Effect of Yttrium Additions on the High-Temperature Oxidation Behavior of GH4169 Ni-Based Superalloy
Authors: Wang Tiantian , Liu Wei , Yang Shufeng , Li Jingshe , Zhao Peng , Xue Hui
Published: June 2024

The effect of the active element yttrium and its content on the oxidation behavior of GH4169 Ni-based superalloy at extreme temperature was studied by isothermal oxidation experiments. The results show that the oxide scale of GH4169 alloy presents a multi-layer structure, in which the continuous and dense Cr2O3 oxide layer is located in the subouter layer (II layer) and the continuous Nb-rich layer is in the subinner layer (III layer). These layers can inhibit the diffusion of oxygen and alloying elements, preventing the further oxidation of the alloy. The appropriate addition of yttrium can promote the selective oxidation of Cr element, reduce the thickness of the oxide scale and the oxidation rate of the alloy, inhibit the formation of voids at the interface of the oxide scale/alloy matrix, improve the resistance of the alloy to spalling as well as the adhesion of the oxide scale, and improve the high-temperature oxidation resistance of the alloy. Of those tested, the alloy containing 0.04 wt.%Y has the lowest oxidation weight gain, the slowest oxidation rate, and less oxide scale spalling. Based on this, the effect of yttrium on the high-temperature oxidation behavior of GH4169 Ni-based superalloy and its mechanism were revealed.
Role of Gut Microecology in the Pathogenesis of Drug-Induced Liver Injury and Emerging Therapeutic Strategies
Authors: Huang Yuqiao , Zhang Yu , Wu Kaireng , Tan Xinxin , Lan Tian , Wang Guixiang
Published: June 2024

Drug-induced liver injury (DILI) is a common clinical pharmacogenic disease. In the United States and Europe, DILI is the most common cause of acute liver failure. Drugs can cause hepatic damage either directly through inherent hepatotoxic properties or indirectly by inducing oxidative stress, immune responses, and inflammatory processes. These pathways can culminate in hepatocyte necrosis. The role of the gut microecology in human health and diseases is well recognized. Recent studies have revealed that the imbalance in the gut microecology is closely related to the occurrence and development of DILI. The gut microecology plays an important role in liver injury caused by different drugs. Recent research has revealed significant changes in the composition, relative abundance, and distribution of gut microbiota in both patients and animal models with DILI. Imbalance in the gut microecology causes intestinal barrier destruction and microorganism translocation; the alteration in microbial metabolites may initiate or aggravate DILI, and regulation and control of intestinal microbiota can effectively mitigate drug-induced liver injury. In this paper, we provide an overview on the present knowledge of the mechanisms by which DILI occurs, the common drugs that cause DILI, the gut microbiota and gut barrier composition, and the effects of the gut microbiota and gut barrier on DILI, emphasizing the contribution of the gut microecology to DILI.
The Representation of the Placemaking Process of Urban Religious and Secular Turkish Identities: The Case of Kizilcik Şerbeti (One Love) Soap Opera
Authors: Ayyildiz Şeyma
Published: June 2024

During a 2-year period, the depictions of religious figures and their interactions with secular individuals in urban daily life became an integral feature of Turkish soap operas that gained popularity in the world after the 1990s. While previous studies have explored the portrayal of various actors in them in terms of age, gender, socio-economic status, and historical perspectives, there is a lack of analysis regarding the interaction between secular and religious urban representations. This research aims to investigate the differences in everyday cosmopolitan perspectives in terms of spatiality and temporality between the two groups. To examine this, the soap opera Kızılcık Şerbeti (One Love) was analysed. Research has shown that when two groups develop their identities in opposition to one another, it leads to the emergence of different temporal and spatial dimensions within the same urban setting. While it seems unfeasible to reconcile the daily routines of both groups in the same place, age, gender, education, and class make negotiation possible in shared spaces. This draws attention to the intersectional approach rather than the binary positions of identities in the placemaking process. The main contribution of this research is to integrate religion, which has been forgotten in human geography, into geographical and sociological discussions by focusing on an intersectional approach in an urban context.
Modeling and Design Parameter Optimization to Improve the Sensitivity of a Bimorph Polysilicon-Based MEMS Sensor for Helium Detection
Authors: Mohaidat Sulaiman , Alsaleem Fadi
Published: June 2024

Helium is integral in several industries, including nuclear waste management and semiconductors. Thus, developing a sensing method for detecting helium is essential to ensure the proper operation of such facilities. Several approaches can be used for helium detection, including based on the high thermal conductivity of helium, which is several times higher than air. This work utilizes the high thermal conductivity of helium to design and analyze a bimorph MEMS sensor for helium sensing applications. COMSOL Multiphysics software (version 6.2) is used to carry out this investigation. The sensor is constructed from poly-silicon and SiO2 materials with a trenched cantilever beam configuration. The sensor is electrically heated, and its morphed displacement depends on the surrounding gas’s composition, which decreases in the presence of helium. Several factors were investigated to probe their effect on the sensor’s sensitivity to helium, including the thickness of the poly-silicon layer, the configuration of the trench, and the thickness and location of SiO2 layer. The simulations showed that the best performance, up to 2 ppm helium detection level, can be achieved with thinner beams and medium trench lengths.
Semi-Kinematic Coupling Design and Analysis for Giant Steerable Science Mirror Prototype of Thirty Meter Telescope
Authors: Zhao Hongchao , Chen Wenduo , An Qichang , Guo Peng , Yang Fei
Published: June 2024

The Giant Steerable Science Mirror prototype is being developed to assess the tertiary mirror system of the Thirty Meter Telescope. In this study, a new semi-kinematic coupling design is proposed for the prototype based on three pairs of V-grooves and canoe-like components to allow for high repeatability accuracy under heavy loads. A mathematical model was constructed to estimate the repeatability accuracy using the corresponding measurement results and machining errors. The proposed design was verified by an experiment, and the results were consistent with the mathematical model. Furthermore, the results indicate that the repeatability of the semi-kinematic coupling is sufficient for the requirement.
Dual Stream Long Short-Term Memory Feature Fusion Classifier for Surface Electromyography Gesture Recognition
Authors: Zhang Kexin , Badesa Francisco J. , Liu Yinlong , Ferre Pérez Manuel
Published: June 2024

Gesture recognition using electromyography (EMG) signals has prevailed recently in the field of human–computer interactions for controlling intelligent prosthetics. Currently, machine learning and deep learning are the two most commonly employed methods for classifying hand gestures. Despite traditional machine learning methods already achieving impressive performance, it is still a huge amount of work to carry out feature extraction manually. The existing deep learning methods utilize complex neural network architectures to achieve higher accuracy, which will suffer from overfitting, insufficient adaptability, and low recognition accuracy. To improve the existing phenomenon, a novel lightweight model named dual stream LSTM feature fusion classifier is proposed based on the concatenation of five time-domain features of EMG signals and raw data, which are both processed with one-dimensional convolutional neural networks and LSTM layers to carry out the classification. The proposed method can effectively capture global features of EMG signals using a simple architecture, which means less computational cost. An experiment is conducted on a public DB1 dataset with 52 gestures, and each of the 27 subjects repeats every gesture 10 times. The accuracy rate achieved by the model is 89.66%, which is comparable to that achieved by more complex deep learning neural networks, and the inference time for each gesture is 87.6 ms, which can also be implied in a real-time control system. The proposed model is validated using a subject-wise experiment on 10 out of the 40 subjects in the DB2 dataset, achieving a mean accuracy of 91.74%. This is illustrated by its ability to fuse time-domain features and raw data to extract more effective information from the sEMG signal and select an appropriate, efficient, lightweight network to enhance the recognition results.
Enhancing IoT Healthcare with Federated Learning and Variational Autoencoder
Authors: Bhatti Dost Muhammad Saqib , Choi Bong Jun
Published: June 2024

The growth of IoT healthcare is aimed at providing efficient services to patients by utilizing data from local hospitals. However, privacy concerns can impede data sharing among third parties. Federated learning offers a solution by enabling the training of neural networks while maintaining the privacy of the data. To integrate federated learning into IoT healthcare, hospitals must be part of the network to jointly train a global central model on the server. Local hospitals can train the global model using their patient datasets and send the trained localized models to the server. These localized models are then aggregated to enhance the global model training process. The aggregation of local models dramatically influences the performance of global training, mainly due to the heterogeneous nature of patient data. Existing solutions to address this issue are iterative, slow, and susceptible to convergence. We propose two novel approaches that form groups efficiently and assign the aggregation weightage considering essential parameters vital for global training. Specifically, our method utilizes an autoencoder to extract features and learn the divergence between the latent representations of patient data to form groups, facilitating more efficient handling of heterogeneity. Additionally, we propose another novel aggregation process that utilizes several factors, including extracted features of patient data, to maximize performance further. Our proposed approaches for group formation and aggregation weighting outperform existing conventional methods. Notably, significant results are obtained, one of which shows that our proposed method achieves 20.8% higher accuracy and 7% lower loss reduction compared to the conventional methods.
Spatially Resolved Defect Characterization and Fidelity Assessment for Complex and Arbitrary Irregular 3D Printing Based on 3D P-OCT and GCode
Authors: Fan Bowen , Yang Shanshan , Wang Ling , Xu Mingen
Published: June 2024

To address the challenges associated with achieving high-fidelity printing of complex 3D bionic models, this paper proposes a method for spatially resolved defect characterization and fidelity assessment. This approach is based on 3D printer-associated optical coherence tomography (3D P-OCT) and GCode information. This method generates a defect characterization map by comparing and analyzing the target model map from GCode information and the reconstructed model map from 3D P-OCT. The defect characterization map enables the detection of defects such as material accumulation, filament breakage and under-extrusion within the print path, as well as stringing outside the print path. The defect characterization map is also used for defect visualization, fidelity assessment and filament breakage repair during secondary printing. Finally, the proposed method is validated on different bionic models, printing paths and materials. The fidelity of the multilayer HAP scaffold with gradient spacing increased from 0.8398 to 0.9048 after the repair of filament breakage defects. At the same time, the over-extrusion defects on the nostril and along the high-curvature contours of the nose model were effectively detected. In addition, the finite element analysis results verified that the 60-degree filling model is superior to the 90-degree filling model in terms of mechanical strength, which is consistent with the defect detection results. The results confirm that the proposed method based on 3D P-OCT and GCode can achieve spatially resolved defect characterization and fidelity assessment in situ, facilitating defect visualization and filament breakage repair. Ultimately, this enables high-fidelity printing, encompassing both shape and function.
Energy-Efficient Edge and Cloud Image Classification with Multi-Reservoir Echo State Network and Data Processing Units
Authors: López-Ortiz E. J. , Perea-Trigo M. , Soria-Morillo L. M. , Álvarez-García J. A. , Vegas-Olmos J. J.
Published: June 2024

In an era dominated by Internet of Things (IoT) devices, software-as-a-service (SaaS) platforms, and rapid advances in cloud and edge computing, the demand for efficient and lightweight models suitable for resource-constrained devices such as data processing units (DPUs) has surged. Traditional deep learning models, such as convolutional neural networks (CNNs), pose significant computational and memory challenges, limiting their use in resource-constrained environments. Echo State Networks (ESNs), based on reservoir computing principles, offer a promising alternative with reduced computational complexity and shorter training times. This study explores the applicability of ESN-based architectures in image classification and weather forecasting tasks, using benchmarks such as the MNIST, FashionMnist, and CloudCast datasets. Through comprehensive evaluations, the Multi-Reservoir ESN (MRESN) architecture emerges as a standout performer, demonstrating its potential for deployment on DPUs or home stations. In exploiting the dynamic adaptability of MRESN to changing input signals, such as weather forecasts, continuous on-device training becomes feasible, eliminating the need for static pre-trained models. Our results highlight the importance of lightweight models such as MRESN in cloud and edge computing applications where efficiency and sustainability are paramount. This study contributes to the advancement of efficient computing practices by providing novel insights into the performance and versatility of MRESN architectures. By facilitating the adoption of lightweight models in resource-constrained environments, our research provides a viable alternative for improved efficiency and scalability in modern computing paradigms.
ASOSIASI BUDAYA PATRIARKI TERHADAP PENGGUNAAN KONTRASEPSI
Authors: Wulandari Dwi , Hadi Ella Nurlaella
Published: June 2024

Kultur budaya bahwa laki-laki lebih dominan dalam masyarakat dapat memengaruhi keputusan Wanita Usia Subur (WUS) dalam penggunaan kontrasepsi. Penelitian ini bertujuan untuk mengetahui hubungan budaya patriarki dengan penggunaan kontrasepsi di Puskesmas Cipondoh Kota Tangerang. Penelitian ini merupakan penelitian kuantitatif dengan  desain cross – sectional, dilakukan pada bulan Mei – Juni 2023, dengan jumlah sampel sebesar 210 responden WUS yang datang ke Puskesmas Cipondoh dan memenuhi kriteria. Jumlah sampel didapatkan berdasarkan perhitungan sampel menggunakan rumus uji hipotesis beda dua proporsi. Data dikumpulkan dengan menggunakan lembar kuesioner yang diisi mandiri oleh responden. Kuesioner berisi pertanyaan mengenai variabel independen budaya patriarki dalam keluarga. Variabel dependen adalah penggunaan kontrasepsi. Hasil kuesioner dianalisis dengan menggunakan uji chi-square. Terdapat hubungan antara budaya patriarki dan penggunaan alat kontrasepsi di Puskesmas Cipondoh, Kota Tangerang (p= 0,005). Berdasarkan nilai OR, dapat diinterpretasikan bahwa wanita usia subur (WUS) dengan budaya tidak patriarki, berpeluang 3,58 kali untuk menggunakan kontrasepsi dibandingkan dengan WUS yang menerapkan budaya patriarki (OR= 3,58, 95% CI 1,904 – 6,748). Dapat disimpulkan bahwa budaya patriarki berhubungan dengan keputusan WUS dalam penggunaan kontrasepsi. Diperlukan peningkatan komunikasi kesehatan dan literasi mengenai penggunaan kontrasepsi, untuk meningkatkan pengetahuan dan kesadaran pria agar turut serta berpartisipasi menggunakan alat kontrasepsi.
ENERGY TRANSITION AND ENERGY SAVING AT A NEW STAGE OF DEVELOPMENT
Authors: Gasho Evgeniy
Published: June 2024

The problem of increasing energy efficiency in the Russian Federation is considered. The USSR energy system was unique in size and efficiency; due to large interconnected energy facilities and the development of district heating, it made it possible to efficiently consume fuel, which resulted in annual savings of 40-60 million tons of standard fuel and 10-15 GW of capacity. After a period of decline in the 90s of the last century, over the past 15 years the country's energy consumption has increased by a third, and structural changes have occurred in the main energy-intensive sectors of the Russian economy. It is noted that industry accounts for about 45% of the Russian energy balance, which is many times more than thermal power engineering (21%). The country's reserves for energy saving and energy efficiency can be divided into two groups. System reserves, consisting of an increase in the capacity and load of “carbon-free” sources - hydroelectric power stations and nuclear power plants, active use of losses and heat from technological processes, optimization of heat supply schemes, account for more than two-thirds of the potential for increasing energy efficiency. The second group consists of the use of renewable energy sources, waste, and biofuels. The country’s energy strategy should not consist in the quick payback of energy-saving projects, but in working on the systemic, multiplier effects of industrial development and infrastructure projects, the growth of large and small cities, and the development of hard-to-reach areas.
Prácticas y dinámicas estatales en la gestión de políticas de tierras y la (re)producción de desigualdades de género
Authors: Camors Verónica
Published: June 2024

En este artículo propongo reflexionar sobre el estado a través de las prácticas cotidianas de sus actores, sobre los (des)encuentros y (des)entendimientos generados en la gestión de las políticas de tierras para comprender los modos en que los cambios jurídicos y políticos inciden en las prácticas sociales, y viceversa. Basado en una etnografía multisituada y tomando como ejemplos las (inter)acciones situadas entre las burocracias estatales y las mujeres beneficiarias de las políticas de tierra en las zonas rurales de Uruguay, recorro la gestión cotidiana y las experiencias vividas relativas a las políticas. Esta perspectiva muestra los procesos de subjetivación que se producen en espacios de encuentro y otorga entidad a los modos en que lo técnico, lo político y lo burocrático interactúan con cuestiones afectivas y morales, en procesos que (re)producen desigualdades de género.
Single-stage eyebrow reconstruction with a double opposing forehead flap: a case report
Authors: Sacks Brett , Concannon Elizabeth , Findlay Michael W
Published: June 2024

The authors describe an alternative option for reconstructing an eyebrow defect following excision of a squamous cell carcinoma using a single-stage, double opposing forehead flap.
Study of Staphylococcus aureus Adhesion on Surface Modified Silver Coated Non-Woven Polyethylene Fabric subjected to Atmospheric Plasma treatment
Authors: Sundarapandian Mahalakshmi , Anaswara  , B Nandhini , B Suresh
Published: June 2024

This study reveals the adhesion of Staphylococcus aureus on the modified surface of silver-coated non-woven disposable polyethylene fabric used in hospitals to cover the patient’s bed.  The bacteria Staphylococcus aureus is responsible for many Nosocomial infections. Therefore, we should take action to reduce the spread of Staphylococcus aureus. The present study is focused on a nonwoven polyethylene fabric used as a bedspread that has been plasma-treated and coated in silver to prevent the adhesion of S. aureus and its growth. Non-woven polyethylene fabric is plasma-treated for quick silver adherence before being coated with silver and treated with S. aureus. Tests for fabric characterization were performed. It includes contact angle, FTIR, and SEM.SEM, FTIR, and contact angle measurements are made on the control, plasma-treated, silver-coated, and S. aureus samples. The plasma treatment will cause the fabric to enhance its surface properties. The increased surface roughness will cause the silver to adhere rapidly. The Silver will also prevent the bacteria from multiplying. Silver's antibacterial characteristics, guarantee the destruction of the germs. A bedspread made of nonwoven polyethylene fabric with a silver coating is possible. so that the sufferers can rest comfortably. The number of nosocomial infections spread by the clothing will decline. It is possible to prevent bacterial infections in the patients and medical staff.
A Comparative Analysis of Herbal Tea and Green Tea: Unravelling Their Origins, Processing, Caffeine Content, Flavor Profile, and Health Benefits
Authors: P.N.R.J Amunugoda , R.D.S Muthukelum
Published: June 2024

This study compares herbal tea and green tea in-depth in order to clarify their origins, production processes, caffeine amounts, flavor characteristics, and associated health benefits. Even while both green tea and herbal tea have become very popular, they each have distinctive features that set them apart from one another. The primary components are what distinguish green tea and herbal tea from one another. The same Camellia sinensis plant that yields oolong, black, and white teas is also utilized to produce green tea. They differ from one another because of variations in the withering and oxidation processes. Herbal tea, unlike green tea, employs dried fruits, flowers, spices, and herbs in different proportions instead of the tea plant. While the majority of herbal teas are caffeine-free, green tea is a rich source of caffeine. Additionally, most herbal teas have less antioxidants than green tea. The taste profile of herbal tea actually varies on which herbal teas are being tried out, whereas green tea has a fairly distinct natural flavor. When it comes to herbal teas, there are often two different flavor profiles: one that is scrumptious and the other that is as bitter as green tea.  When it comes to herbal teas, there are often two different flavor profiles: one that is scrumptious and the other that is as bitter as green tea.  The health advantages of green tea and herbal tea differ since they come from different plants. Green tea is a healthy beverage since it is full of antioxidants, catechins, theanine, and different vitamins. Herbal teas provide a range of health advantages since they are manufactured from a variety of fruits and plants. There are drinks labeled as "herbal tea" even though many herbal teas are used as natural medicines. In addition, this study aims to clarify the distinction between herbal teas and green tea and to provide insightful information to help people better understand, appreciate, and choose wisely when it comes to these beloved beverages.
Deceptive Content Analysis using Deep Learning
Authors: Gupta Hritik , Pal Divyam , Sharma Palak , Raj Krishna , Kumar Deep , Tyagi Sachin Kumar
Published: June 2024

Fake news is the deliberate spread of false or misleading information through traditional and social media for political or financial gain. The impact of fake news can be significant, causing harm to individuals and organizations and undermining trust in legitimate news sources. Detecting fake news is crucial to promote a well-informed society and protect against the harmful effects. Tools such as machine learning and natural language processing are being developed to help identify fake news automatically. Necessity of fake news detection is very important to maintain a trustworthy and responsible media environment. We have used Word2Vec model for word vectorization and represents words in a multi- dimensional space based on their semantic and syntactic relationships. The use of the LSTM with 256 units allows our model to capture the sequential nature of the data and make predictions based on past information. The proposed model uses Word2Vec and LSTM models to provide a powerful approach to fake news detection, combining the ability to capture the complexity of language and the sequential nature of the data. The model has the potential to accurately detect fake news and promote a well-informed society. The accuracy achieved by building the model was 97%.
Sustainable Utilization of Marble Dust and Rice Husk Ash as a Partial Substitute for Fine Aggregate in Concrete
Authors: K Saranya , S Karthikeyan
Published: June 2024

A sustainable method for partially substituting fine aggregate in concrete with marble dust and rice husk ash is described. This approach focuses on the utilization of these materials to minimize environmental impact while maintaining the integrity of the concrete structure. In this study, the fine aggregate was partially substituted with marble dust and rice husk ash. Additionally, sisal fiber was incorporated as secondary reinforcement for concrete at percentages of cement by weight. Concrete has good compressive strength but is weak in tension and bending. Thus, sisal fibers were added to enhance the mechanical properties. Sisal fibers were included at 0.1% and 0.2% of cement weight for varying percentages of mineral admixture substitution. 30% of cement was replaced with mineral admixtures, with replacement levels of 0%, 10%, 15%, 20%, and 30% of marble dust and rice husk ash. The slump cone and compaction factor tests were performed on fresh concrete mixes to determine workability. Standard cubes, cylinders, and prisms were cast to evaluate the compressive, split tensile, and flexural strengths of the hardened concrete. The results show that the replacement of cement with marble dust and rice husk ash with sisal fiber as an additional reinforcing material shows considerable improvement in tensile and flexural strength. The material properties and test results are presented graphically.
Impact of age hardening on the corrosion characteristics of dissimilar aluminum alloys welded using an innovative MIG welding approach
Authors: Garg Sahil , Palanisamy Arulpandian
Published: June 2024

An innovative metal transfer technique in MIG welding was utilized to join aluminum-based alloys such as 6061 and 5083. Following welding, the specimens underwent heat treatment to explore their corrosion resistance by modifying their microstructure. Tafel polarization curve analysis was employed to evaluate the corrosion performance of the weld zone. The findings indicated that finer microstructures in the weldment led to a notable shift towards less negative corrosion potentials compared to coarser microstructures observed in the as-welded condition. Scanning electron microscopy and X-ray diffraction were used to investigate the microstructural morphology and phase identification of the weld zone. The findings of these tests revealed a link between microstructure and corrosion behaviours.
Impact of Foreign Direct Investment on the Indian Telecom Sector: An Analysis
Authors: Harshith Kumar Shetty N
Published: June 2024

This study examines the profound impact of Foreign Direct Investment (FDI) on the Indian telecom sector, offering insight into the sector’s evolution and opportunities. In recent years, FDI has played a pivotal role in transforming the Indian telecom landscape, contributing to both economic and technological advancements. From an economic perspective, FDI has significantly bolstered the financial health of telecom companies by infusing capital for network expansion and infrastructure development. This has translated into improved connectivity, greater market reach, and competitive pricing, benefiting the Indian consumer base. Additionally, FDI has spurred job creation and economic growth, positioning the telecom sector as a vital contributor to India’s economic development. Technologically, FDI has facilitated the adoption of cutting-edge telecommunications technologies. Foreign investors have brought in expertise and resources, accelerating the deployment of 4G and 5G networks, broadband penetration, and the proliferation of digital services. This technological progress has positioned India as a formidable player in the global telecommunications arena. This study underscores the transformative role of FDI in the Indian telecom sector, emphasizing its economic and technological benefits. It serves as a valuable resource for stakeholders, policymakers, and researchers seeking to understand the intricate dynamics of FDI in one of India’s most critical industries.
Empowering Women Leadership for Economic Development & Sustainable Growth -The Role of Women Directors
Authors: Antony Nancy J , Morarji A
Published: June 2024

Through their leadership in corporate boardrooms, women directors play a critical role in promoting sustainable growth and driving economic development. This research explores this relationship. With the growing recognition of the value of gender diversity in society, identify and characterize the distinct contributions made by female directors to Corporate Governance, organizational performance, and overall economic growth. It explores the various ways that women directors influence decision-making processes and add to strategic initiatives. The research highlights the importance of varied viewpoints in augmenting inventiveness, efficacy, and durability in establishments. The report also explores the dynamics of empowerment related to women taking on leadership positions on corporate boards. It looks at the obstacles women must overcome to become directors, evaluates the methods used to get beyond those obstacles, and evaluates the empowerment that results for both the person and the larger community. The analysis highlights the influential function of strong female directors as advocates for gender equality and as agents of good change. The study also looks into how initiatives and policies may support gender diversity in boardrooms and offers insights into the organizational and structural aspects that contribute to fostering an inclusive environment that supports women’s leadership through the analysis of effective practices and case studies. This paper attempts to highlight corporate governance changes, leadership development programs, and mentorship programs that help women advancement to positions of directors and key managerial persons in corporate sector.