Distinct Phases Research Articles

Exploration of the protective mechanisms of Icariin against cisplatin-induced renal cell damage in canines.

This study delves into the protective mechanisms of Icariin (ICA) against cisplatin-induced damage in Madin-Darby canine kidney (MDCK) cells. Comprising two distinct phases, the investigation initially employed a single-factor randomized design to ascertain the minimal cisplatin concentration eliciting MDCK cell damage, spanning concentrations from 0 to 16 mmol/L. Concurrently, various concentrations of ICA (ranging from 5 to 50 mmol/L) were combined with 1 mmol/L cisplatin to determine the most efficacious treatment concentration. Subsequent investigations utilized four treatment groups: control, 1 mmol/L cisplatin, 1 mmol/L cisplatin + 20 mmol/L ICA, and 1 mmol/L cisplatin + 25 mmol/L ICA, aimed at elucidating ICA's protective mechanisms. Findings from the initial phase underscored a significant reduction in MDCK cell viability with 1 mmol/L cisplatin in comparison to the control (P < 0.01). Notably, the inclusion of 20 and 25 mmol/L ICA substantively ameliorated MDCK cell viability under 1 mmol/L cisplatin (P < 0.01). Moreover, cisplatin administration induced an elevation in inflammatory factors, malondialdehyde (MDA), reactive oxygen species (ROS), and Bax protein levels, while concurrently suppressing superoxide dismutase (SOD), catalase (CAT), and Bcl-2 expression (P < 0.01). Conversely, supplementation of 20 and 25 mmol/L ICA demonstrated a marked increase in mitochondrial membrane potential and levels of SOD, CAT, and Bcl-2 (P < 0.01). These interventions effectively attenuated inflammatory responses and suppressed Bax protein expression (P < 0.05), consequently mitigating cisplatin-induced apoptosis in MDCK cells (P < 0.01). In summary, these findings elucidate the role of ICA in impeding apoptosis in cisplatin-induced MDCK cells by regulating inflammatory responses, oxidative stress, and autophagic protein expression.

Cross-Cultural Validation of the Portuguese Version of the Quality of Oncology Nursing Care Scale.

Quality assessment in oncology nursing care has been a growing topic in the literature, gaining relevance as oncological nursing care becomes more complex as the science progresses. However, there are no instruments that assess the perception of the quality of oncology nursing care from the point of view of patients for the Portuguese population. Thus, the cross-cultural translation and validation of the Quality of Oncology Nursing Care Scale (QONCS) was performed for the Portuguese context. This instrument allows nurses to assess patients' self-perception of the quality of nursing care provided in an oncological setting. It also allows researchers to compare the results obtained internationally with the application of this scale. This is a methodological study, with two distinct phases: the first corresponded to the translation and cultural adaptation of the scale to the Portuguese context, and the second consisted of the psychometric validation of the QONCS, which included factor analysis and the evaluation of the psychometric properties of the instrument. We obtained responses from 402 patients from a Portuguese oncology hospital. The Portuguese version of the Quality of Oncology Nursing Care Scale (QONCS_PT) consists of 34 items inserted into a tetra-factorial model, which explains a total variance of the instrument of 69.8%. A Cronbach's alpha of 0.93 was obtained for the complete instrument. QONCS_PT has a competent and reliable structure. The scale's validity was assured and can be used in the Portuguese population, as it is useful for direct care provision but also for researchers and managers.

Heat treatment protocol for additively manufactured nitinol shape memory alloys in biomedical applications

Additive manufacturing (AM) is getting significant attention in realizing customizable nitinol (NiTi) devices for biomedical applications. However, due to the change in composition and constituent phases occurring during printing and the microstructural inhomogeneity in the printed parts, obtaining a desired set of phase transformation behaviors and superelastic properties is a major challenge. In this work, laser powder bed fusion (LPBF) was used to fabricate NiTi at a very low laser energy density (35 J/mm3) on a titanium base plate while keeping these behaviors and properties within desirable ranges without any structural defects such as crack and delamination. Our measurements showed that the as-printed NiTi exhibited distinct one-step phase transformation with the austenite finish (Af) temperature of 2.1 °C. To increase the Af temperature to 30.2 °C (within the recommended range of Af temperature for biomedical applications), a heat treatment protocol was developed, which includes a solution cycle (at 900 °C for 1 h) followed by an aging cycle (at 450 °C for 30 min). The heat treatment protocol enabled us to attain the homogenized microstructure while creating ultrafine metastable Ni-rich precipitate, Ni4Ti3, which facilitated the desirable phase transformation behavior with the increased Af temperature. The heat-treated sample showed narrower and sharper two-step martensitic phase transformation with the formation of intermediate R-phase. The presence of both Ni4Ti3 and the R-phase was confirmed by the transmission electron microscopic (TEM) analysis. In the superelasticity test at the body temperature, these samples, starting from the 2nd cycle, demonstrated a recovery ratio of more than 90% and a recoverable strain of more than 6.5%. After 10th cycles, the stable recoverable strain was 6.52% with a recovery ratio of 96%, which is the highest superelasticity reported for the LPBF processed NiTi to the best of our knowledge. After the initial deformation process, we expect these NiTi samples to attain near full superelasticity during service. The micro-hardness study also showed that the hardness of the heat-treated samples is less affected by the cyclic loading. Therefore, this paper presents a viable heat treatment protocol, which provides an important processing roadmap in making NiTi implants by AM while maintaining excellent functional properties of NiTi for biomedical applications.

Survival analysis of the duration of rumors during the COVID-19 pandemic.

The emergence of the COVID-19 pandemic towards the end of 2019 triggered a relentless spread of online misinformation, which significantly impacted societal stability, public perception, and the effectiveness of measures to prevent and control the epidemic. Understanding the complex dynamics and characteristics that determine the duration of rumors is crucial for their effective management. In response to this urgent requirement, our study takes survival analysis method to analyze COVID-19 rumors comprehensively and rigorously. Our primary aim is to clarify the distribution patterns and key determinants of their persistence. Through this exploration, we aim to contribute to the development of robust rumor management strategies, thereby reducing the adverse effects of misinformation during the ongoing pandemic. The dataset utilized in this research was sourced from Tencent's "Jiao Zhen" Verification Platform's "Real-Time Debunking of Novel Coronavirus Pneumonia" system. We gathered a total of 754 instances of rumors from January 18, 2020, to January 17, 2023. The duration of each rumor was ascertained using the Baidu search engine. To analyze these rumors, survival analysis techniques were applied. The study focused on examining various factors that might influence the rumors' longevity, including the theme of the content, emotional appeal, the credibility of the source, and the mode of presentation. Our study's results indicate that a rumor's lifecycle post-emergence typically progresses through three distinct phases: an initial rapid decline phase (0-25days), followed by a stable phase (25-1000days), and ultimately, an extinction phase (beyond 1000days). It is observed that half of the rumors fade within the first 25days, with an average duration of approximately 260.15days. When compared to the baseline category of prevention and treatment rumors, the risk of dissipation is markedly higher in other categories: policy measures rumors are 3.58 times more likely to perish, virus information rumors have a 0.52 times higher risk, epidemic situation rumors are 4.86 times more likely to die out, and social current affairs rumors face a 2.02 times increased risk. Additionally, in comparison to wish rumors, bogie rumors and aggression rumors have 0.26 and 0.27 times higher risks of dying, respectively. In terms of presentation, graphical and video rumors share similar dissolution risks, whereas textual rumors tend to have a longer survival time. Interestingly, the credibility of the rumor's source does not significantly impact its longevity. The survival time of rumors is strongly linked to their content theme and emotional appeal, whereas the credibility of the source and the format of presentation have a more auxiliary influence. This study recommends that government agencies should adopt specific strategies to counter rumors. Experts and scholars are encouraged to take an active role in spreading health knowledge. It's important for the public to proactively seek trustworthy sources for accurate information. Media platforms are advised to maintain journalistic integrity, verify the accuracy of information, and guide the public towards improved media literacy. These actions, collectively, can foster a collaborative alliance between the government and the media, effectively combating misinformation.

The shifting impact and response to COVID-19 in Florida.

The first cases of COVID-19 in Florida were diagnosed on March 1, 2020. Three years later, more than 7.3 million people have had COVID-19 in Florida, and more than 93,000 individuals have died from this illness. When considering the impact of COVID-19 on Florida, several key factors need to be considered, including that Florida was one of the most medically vulnerable states due to a substantial proportion of older individuals and those with underlying medical conditions. Florida also has a centralized Department of Health and Division of Emergency Management structure that facilitated response activities. Looking at the impact of COVID-19 on Florida, two distinct phases need to be considered: the pre-Delta variant phase from March 2020 to July 2021 and the Delta variant and beyond phase that began July 2021 and still continues. During the 16-month first phase, about 38,000 people died. Yet, 24,000 people died during the 5-months of the Delta variant wave from July to November 2021. During the Omicron waves that followed Delta, an additional 31,000 people died. Florida thus went from ranking 26th in death per capita in the United States at the end of the first phase to 10th a few months into the Delta wave and now ranks 8th. Why did these phases differ so dramatically in terms of mortality? During the first phase of the pandemic, adherence to established nonpharmacological and older adult protection measures was recommended. When COVID-19 vaccines became available in December 2020, there was an aggressive campaign to promote COVID-19 vaccination, and public acceptance was high. The second phase followed political opposition to CDC and public health expert guidelines, the rise of anti-vaccine sentiment and misinformation, and falling vaccination rates. These factors contributed to considerable population vulnerability to severe disease when the Delta variant hit. As the former State Surgeon General and Secretary of Health of Florida from June 2019 to September 2021, this report provides perspective on the shifting impact and response to COVID-19 in Florida, which is the third most populous state in the United States. This perspective shows the clear consequences of shifting from standard public health practices and vaccine promotion to attacks on public health and vaccines.

A DNN-orchestrated cognitive radio-based power control scheme for D2D communication

Device-to-device (D2D) communication demonstrates its efficacy across diverse domains, including military, surveillance, public safety, disaster management, content sharing, and local advertising, through its provision of proximity-based connections. Moreover, it elevates data rates, spectrum efficiency, and network throughput with efficient resource allocation while simultaneously reducing latency. However, it encounters challenges related to unregulated high-power consumption, leading to interference in D2D communication. Hence, in this paper, we proposed a deep neural network (DNN) and cognitive radio-driven efficient power control scheme for D2D communication. The proposed scheme operates in two distinct phases: the cognitive radio and the DNN-based phase. In this context, cognitive radio aids in selecting secondary users or cellular mobile equipment (CUE) through energy detection spectrum sensing. Subsequently, the DNN model is employed to optimize the transmission power of CUE in D2D communication. The effectiveness of the proposed scheme is assessed through various metrics, including loss, optimizers, learning rates, and sum rates.

Mosquitoes do not Like Bitter.

Chemical repellents play a crucial role in personal protection, serving as essential elements in reducing the transmission of vector-borne diseases. A biorational perspective that extends beyond the olfactory system as the classical target may be a promising direction to move. The taste system provides reliable information regarding food quality, helping animals to discriminate between nutritious and potentially harmful food sources, often associated with a bitter taste. Understanding how bitter compounds affect feeding in blood-sucking insects could unveil novel molecules with the potential to reduce biting and feeding. Here, we investigated the impact of two naturally occurring bitter compounds, caffeine and quinine, on the feeding decisions in female Aedes aegypti mosquitoes at two distinctive phases: (1) when the mosquito explores the biting substrate using external taste sensors and (2) when the mosquito takes a sip of food and tastes it using internal taste receptors. We assessed the aversiveness of bitter compounds through both an artificial feeding condition (artificial feeder test) and a real host (arm-in-cage test). Our findings revealed different sensitivities in the external and internal sensory pathways responsible for detecting bitter taste in Ae. aegypti. Internal detectors exhibited responsiveness to lower doses compared to the external sensors. Quinine exerted a more pronounced negative impact on biting and feeding activity than caffeine. The implications of our findings are discussed in the context of mosquito food recognition and the potential practical implications for personal protection.

Investigation of the soybean infiltration process utilizing low-field nuclear magnetic resonance technology.

This paper employs low-field nuclear magnetic resonance (LF-NMR) technology to meticulously analyze and explore the intricate soybean infiltration process. The methodology involves immersing soybeans in distilled water, with periodic implementation of Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence experiments conducted at intervals of 20 to 30 minutes to determine the relaxation time T2. Currently, magnetic resonance imaging (MRI) is conducted every 30 minutes. The analysis uncovers the existence of three distinct water phases during the soybean infiltration process: bound water denoted as T21, sub-bound water represented by T22, and free water indicated as T23. The evolution of these phases unfolds as follows: bound water T21 displays a steady oscillation within the timeframe of 0 to 400 minutes; sub-bound water T22 and free water T23 exhibit a progressive pattern characterized by a rise-stable-rise trajectory. Upon scrutinizing the magnetic resonance images, it is discerned that the soybean infiltration commences at a gradual pace from the seed umbilicus. The employment of LF-NMR technology contributes significantly by affording an expeditious, non-destructive, and dynamic vantage point to observe the intricate motion of water migration during soybean infiltration. This dynamic insight into the movement of water elucidates the intricate mass transfer pathway within the soybean-water system, thus furnishing a robust scientific foundation for the optimization of processing techniques.

Fostering teacher agency in school‐based climate change education in England, UK

AbstractDrawing on conceptualisations of teacher agency through the ecological approach, and in the context of recent policy activity, we explored primary and secondary school teachers' experiences of agency in relation to climate change education in England. Data collection occurred over two distinct but related phases. Firstly, we completed a series of interviews with the same three secondary geography teachers at the outset of their careers (15 interviews during 2020–2022) which included 1 year of Initial Teacher Education and 2 years as Early Career Teachers (ECTs). Secondly, we captured the experiences of further 24 in‐service science and geography teachers (with expertise beyond the ECT period) through two online workshops held in November 2022, the first for primary teachers (n = 10) and the second for secondary teachers (n = 10). Interviews were held with four teachers (two primary and two secondary) who could not attend the workshops (n = 4). Our findings underline the importance of structures (e.g. school leadership) and culture (e.g. ideas and values) in fostering teacher agency. Teachers across primary and secondary phases and at different career stages highlighted the value of curricular and extra‐curricular spaces for climate change education. If all children and young people are to access effective climate change education, researchers and policy makers will need to further consider ways to ensure teachers can achieve agency, including through access to transformative professional learning which fosters agency in relation to climate change education.

China's Economic Evolution: From WTO Accession to Global Leadership

This study provides a comprehensive exploration of the transformative journey of China's economic policies and global engagement from its accession to the World Trade Organization (WTO) in 2001 to the present day. The analysis spans three distinct phases: the initial shift from a centrally planned to a market-oriented system, the full integration into the global economic system marked by meticulous adherence to WTO commitments, and the subsequent era characterized by the Belt and Road Initiative and high-quality development strategies. Examining key milestones such as the establishment of free trade zones, internationalization of the yuan, and participation in significant agreements like the Regional Comprehensive Economic Partnership (RCEP) and the China-EU Comprehensive Agreement on Investment (CECAI), the study highlights China's pivotal role in shaping global economic structures. The findings underscore China's commitment to opening-up, fostering international cooperation, and contributing significantly to reshaping the global economic landscape.

Ground states of a distinct spin–orbit-coupled spin-1 Bose–Einstein Condensate in a toroidal trap

This study delves into the influence of a new type of spin–orbit coupling (SOC) on spin-1 Bose–Einstein condensates (BECs) in quasi-two-dimensional annular regions. The unconventional characteristics of the annular potential trap coupled with innovative artificial gauge field bring about a diverse array of phase diagrams for the ground state behavior of the BECs. In the antiferromagnetic state, we observe a distinct petal-like phase structure with components exhibiting novel density and phase distributions. In the ferromagnetic state, the spin-1 BECs exhibit rich asymmetric states which showcase a new type of vortex-molecule structure with multiple winding numbers in the huge hole. Many other novel breaking structures have also been discovered by modulating the strength of the nonlinear interaction. We contribute the different ground states of distinct spin–orbit couplings to the different symmetries.

Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation

Agent-based models (ABMs) are readily used to capture the stochasticity in tumour evolution; however, these models are often challenging to validate with experimental measurements due to model complexity. The Voronoi cell-based model (VCBM) is an off-lattice agent-based model that captures individual cell shapes using a Voronoi tessellation and mimics the evolution of cancer cell proliferation and movement. Evidence suggests tumours can exhibit biphasic growth in vivo. To account for this phenomena, we extend the VCBM to capture the existence of two distinct growth phases. Prior work primarily focused on point estimation for the parameters without consideration of estimating uncertainty. In this paper, approximate Bayesian computation is employed to calibrate the model to in vivo measurements of breast, ovarian and pancreatic cancer. Our approach involves estimating the distribution of parameters that govern cancer cell proliferation and recovering outputs that match the experimental data. Our results show that the VCBM, and its biphasic extension, provides insight into tumour growth and quantifies uncertainty in the switching time between the two phases of the biphasic growth model. We find this approach enables precise estimates for the time taken for a daughter cell to become a mature cell. This allows us to propose future refinements to the model to improve accuracy, whilst also making conclusions about the differences in cancer cell characteristics.

Solving the fouling mechanisms in composite membranes for water purification: An advance approach

With the increasing population worldwide more wastewater is created by human activities and discharged into the waterbodies. This is causing the contamination of aquatic bodies, thus disturbing the marine ecosystems. The rising population is also posing a challenge to meet the demands of fresh drinking water in the water-scarce regions of the world, where drinking water is made available to people by desalination process. The fouling of composite membranes remains a major challenge in water desalination. In this innovative study, we present a novel probabilistic approach to analyse and anticipate the predominant fouling mechanisms in the filtration process. Our establishment of a robust theoretical framework hinges upon the utilization of both the geometric law and the Hermia model, elucidating the concept of resistance in series (RIS). By manipulating the transmembrane pressure, we demonstrate effective management of permeate flux rate and overall product quality. Our investigations reveal a decrease in permeate flux in three distinct phases over time, with the final stage marked by a significant reduction due to the accumulation of a denser cake layer. Additionally, an increase in transmembrane pressure leads to a correlative rise in permeate flux, while also exerting negative effects such as membrane ruptures. Our study highlights the minimal immediate impact of the intermediate blocking mechanism (n = 1) on permeate flux, necessitating continuous monitoring for potential long-term effects. Additionally, we note a reduced membrane selectivity across all three fouling types (n = 0, n = 1.5, n = 2). Ultimately, our findings indicate that the membrane undergoes complete fouling with a probability of P = 0.9 in the presence of all three fouling mechanisms. This situation renders the membrane unable to produce water at its previous flow rate, resulting in a significant reduction in the desalination plant's productivity. I have demonstrated that higher pressure values notably correlate with increased permeate flux across all four membrane types. This correlation highlights the significant role of TMP in enhancing the production rate of purified water or desired substances through membrane filtration systems. Our innovative approach opens new perspectives for water desalination management and optimization, providing crucial insights into fouling mechanisms and proposing potential strategies to address associated challenges.

An automatic anomaly application detection system in mobile devices using FL-HTR-DBN and SKLD-SED K means algorithms

The proliferation of mobile technology has given rise to a multitude of applications, among them those designed with malicious intent, aimed at compromising the integrity of mobile devices (MDs). To combat this issue, this study introduces an innovative anomaly application detection system leveraging Federated Learning in conjunction with a Hyperbolic Tangent Radial-Deep Belief Network (FL-HTR-DBN). This system operates through two distinct phases: training and testing. During the training phase, the system first extracts log files and transforms them into a structured format, harnessing the power of the Hadoop System. Subsequently, these structured logs are converted into vector representations using the Updating Gate-BERT (UG-BERT) technique, thereby facilitating feature extraction. These features are then annotated utilizing the Symmetric Kullback Leibler Divergence squared Euclidean distance-based K Means (SKLD-SED K Means) algorithm. The FL-HTR-DBN model is subsequently trained using these labelled features. The detected anomalies are hashed and securely stored within an index tree, alongside their corresponding hashed Media Access Control (MAC) addresses. In the testing phase, log files are cross-referenced with the hashed index tree to identify potential anomalies. Notably, this novel approach outperforms many valuable outcomes in comparison with the existing approaches ConAnomaly, QLLog and LogCAD in terms of precision 97.5, recall 97.1, accuracy 95.9, F-measure 93.9, sensitivity 94.8 and specificity 95.9.

Versatile biopolymer–functionalized copper cobalt oxide nanocomposite (Ch/CuCo2O4): Synthesis and applications in antibacterial, anticancer, and photocatalysis

This study presents the synthesis and comprehensive characterization of a chitosan-coated copper cobalt oxide nanocomposite (Ch/CuCo2O4 NC) derived from copper cobalt oxide nanocomposites (CuCo2O4 NPs) via a hydrothermal method. Structural and functional attributes of Ch/CuCo2O4 NC was validated through FESEM, XRD, FTIR, TEM, and EDX analyses. X-ray diffraction confirmed a distinct cubic crystal phase, affirming structural integrity FTIR demonstrated a robust chitosan-CuCo2O4 interaction, fortifying performance. The versatility of Ch/CuCo2O4 nanocomposite is demonstrated by its dual functions as an effective antibacterial, anticancer agent targeting HeLa cells, and a powerful photocatalyst for dye removal. The low toxicity towards normal fibroblasts (L-929) emphasizes its potential for biomedical applications. This work originally lies in the synthesis methodology and the unique multifunctional properties exhibited by the Ch/CuCo2O4 nanocomposite, paving the way for its diverse applications in environmental and biomedical domains.

Improvement of Microwave Dielectric Properties by Impact of Sodium Ion Doping in Complex Oxides for Polymer Composites

The research presented in this study focuses on the dielectric properties of complex oxide-filled epoxy, polyurethane, and silicone rubber composites. Specifically, we investigated various compositions of (1-x) CaWO4-xNa2WO4 (x = 0, 0.2, 0.4), in addition to Na0.5Bi0.5Mo0.5W0.5O4 and Bi2Mo0.5W0.5O6. These complex oxide materials were meticulously synthesized through a solid-state reaction, and their distinct phases were confirmed via rigorous X-ray diffraction (XRD) characterization. We then proceeded to create the composites by manually blending these complex oxides with epoxy, polyurethane, and silicone rubber matrices. The central focus of the study was to examine the impact of varying volume fractions of the complex oxide fillers on the dielectric properties of the composites in the frequency range of 4 – 8 GHz.Our observations revealed a direct correlation between the content of the complex oxide filler and the dielectric properties, including the dielectric constant and dielectric loss. Specifically, the addition of 10 % by volume fraction of (1-x) CaWO4-xNa2WO4 (x = 0, 0.4), Na0.5Bi0.5Mo0.5W0.5O4, or Bi2Mo0.5W0.5O6 fillers to the respective polymer matrices led to a significant enhancement in both the dielectric constant and the loss tangent. Promising results were particularly evident in three composite formulations: the 10 % 0.4Na2WO4-0.6CaWO4/silicone rubber composite demonstrated a dielectric constant (εr) of 2.02 ´ 102 and a loss tangent (tanδ) of -4.07 ´ 10-1 at 7.1 GHz; the 10 % Na0.5Bi0.5Mo0.5W0.5O4/epoxy composite exhibited a dielectric constant of 1.37 ´ 102 and a loss tangent of -6.43 ´ 10-1 at 7.22 GHz; and the 10 % Bi2W0.5Mo0.5O6/polyurethane composite displayed favorable properties with a dielectric constant (ϵr) of 8.37x101 and a loss tangent (tanδ) of -3.4 ´ 10-1 at 7.12 GHz.These results suggest the suitability of these composite materials for a wide range of microwave technology applications, including wireless communication, radar systems, and various microwave devices.

Compact triple band notched UWB MIMO antenna with integrated GSM

SummaryThis paper introduces an innovative four‐element Ultra‐wideband (UWB) MIMO structure featuring an integrated global system for mobile (GSM) antenna with the ability to achieve dual and triple band‐notch capabilities. The antenna's distinctiveness is achieved through the utilization of four directional meandered line shaping decoupling structures (MLSDS), an orthogonal arrangement, and multi‐slot techniques. The incorporation of orthogonal separation alongside four directional MLSDS significantly reduces the mutual interference between radiating elements. By placing MLSDS on both sides of the substrate, effective coverage of the GSM band is achieved. The development of the MIMO structure unfolds through four distinct phases. The initial stage lacks MLSDS, while the second stage incorporates MLSDS. The third and fourth stages respectively introduce MLSDS with dual and triple notch characteristics. The presence of MLSDS enhances the antenna's impedance bandwidth (IBW). The intended notches are tailored to address interference from bands like Band n41, WLAN, and X‐band. Furthermore, the proposed antenna has undergone simulation, measurement, and comparative analysis with existing models, focusing on diversity performance metrics. The results reveal its exceptional diversity performance, positioning it as a potential choice for creating a portable UWB‐MIMO system.

Tam Analysis on Bukalapak Application Users in Denpasar City: Customer Satisfaction as a Mediating Variable

The purpose of this study is to examine how customer satisfaction mediates the relationship between perceived convenience and usefulness and reuse intention. The investigation was conducted in Bali's Denpasar City. The population of Denpasar City Bukalapak users under investigation is indeterminate, meaning that its exact number cannot be determined. The purposive sampling method, or the process of choosing the sample while taking specific factors into account, is the approach utilized in sample selection. The inferential statistics employed in this study are partial least square (PLS)-based structural equation modeling (SEM) analysis. Perceived convenience and usefulness have a positive and significant influence on customer satisfaction, which in turn has a positive and significant effect on customer satisfaction, which in turn has a positive and significant effect on intention to reuse, and which partially mediates the influence of perceived usefulness, according to the research findings. and purpose to reuse perceived simplicity of use. Based on the research findings, it can be said that intentions to reuse are higher when perceived utility and convenience are higher. Therefore, client satisfaction increases with perceived utility and convenience. Increased customer satisfaction correlates with higher intention to reuse. Customer happiness rises with perceived usefulness and convenience, which in turn leads to an increase in the desire to reuse. Bukalapak's suggestions include enhancing customer service abilities, offering distinct phases of use till the transaction is completed, and including features that are utilized for its consumers' transaction demands.

A Psychological Examination of the Status Syndrome and Its Application for Promoting Well-Being.

The status syndrome proposed by Marmot is located at the closest level of influence within the Social Determinants of Health (SDH) framework, connecting the body's response to the mental states that arise from the subjective experience of social status. Marmot defines these psychological states through concepts of autonomy and social integration articulated in the Capability Approach (CA). These elements are further explored and expanded upon with the Self-Determination Theory (SDT), an empirically based framework with an extensive tradition of practical application. This lays the groundwork not only for understanding what makes a social environment conducive to well-being but also for shedding light on ways to promote it. The article goes beyond theoretical discussions by introducing a structured model based on the principles of the SDT for health promotion interventions. The model emphasizes the importance of providing a supportive atmosphere and is organized into four distinct phases aimed at aligning interventions with individual motivations, and cultural contexts. Ultimately, the goal is to engage individuals to actively participate in their own well-being while addressing the complexities associated with social inequalities in developed societies.

Isolation of a Cd-Based Coordination Polymer Containing Mixed Ligands: Time- and Temperature-Dependent Synthesis, Sulfonamide Antibiotics Detection, and Schottky Diode Fabrication.

In this study, we present a new cadmium(II)-based two-dimensional coordination polymer [Cd (L)(NA)(H2O)] (L = Iminol form of N-nicotinoyl glycinate, NA = nicotinate), 1, containing two linkers generated from N-nicotinoyl glycine. A comprehensive investigation was carried out during the synthesis of the coordination polymers by varying the reaction time interval and temperature, and it revealed the formation of three distinct phases, of which two phases were previously reported and one was a new compound (1). The structure of compound 1 was determined by single-crystal X-ray diffraction, and it shows a corrugated layer structure with hydrogen bond interactions leading to three-dimensional supramolecular arrangements. Compound 1 exhibited strong emission at 420 nm when excited at 260 nm in an aqueous medium. The emission behavior of this compound was used for the detection of various sulfonamide antibiotics, sulfadiazine, sulfamethazine, sulfachloropyridazine, sulfameter, sulfaquinoxaline, and sulfathiazole, in the presence of common water pollutants. The luminescence quenching response of compound 1 to sulfonamide antibiotics was significant, ranging from 81 to 94%, and the detection sensitivity reached parts per billion (ppb) levels (226-726 ppb). Compound 1 also used for the fabrication of Schottky diode devices with a barrier height of 0.86 eV along with an excellent ideality factor of 1.24.