Application Of Strategies Research Articles

Utilization of Generative Artificial Intelligence in Nursing Education: A Topic Modeling Analysis

The advent of artificial intelligence (AI) has prompted the introduction of novel digital technologies, including mobile learning and metaverse learning, into nursing students’ learning environments. This study used text network and topic modeling analyses to identify the research trends in generative AI in nursing education for students and patients in schools, hospitals, and community settings. Additionally, an ego network analysis using strengths, weaknesses, opportunities, and threats (SWOT) words was performed to develop a comprehensive understanding of factors that impact the integration of generative AI in nursing education. The literature was searched from five databases published until July 2024. After excluding studies whose abstracts were not available and removing duplicates, 139 articles were identified. The seven derived topics were labeled as usability in future scientific applications, application and integration of technology, simulation education, utility in image and text analysis, performance in exams, utility in assignments, and patient education. The ego network analysis focusing on the SWOT keywords revealed “healthcare”, “use”, and “risk” were common keywords. The limited emphasis on “threats”, “strengths”, and “weaknesses” compared to “opportunities” in the SWOT analysis indicated that these areas are relatively underexplored in nursing education. To integrate generative AI technology into education such as simulation training, teaching activities, and the development of personalized learning, it is necessary to identify relevant internal strengths and weaknesses of schools, hospitals, and communities that apply it, and plan practical application strategies aligned with clear institutional guidelines.

Bias and Its Consequences : A Study of Machine Learning Performance

This paper addresses the concern about bias affecting the results of machine learning models. For this purpose, it uses the Adult Income dataset from OpenML for income classification. The conditions for bias are induced by underrepresenting people that earn <= $50K in training data, thus checking the behavior of different models when encountering such a skewed distribution. Key metrics, namely accuracy and specificity (True Negative Rate), were analyzed for unbiased and biased training scenarios. The results show that Naive Bayes and Random Forest models were resistant to bias, but others, including SVM and Logistic Regression, suffered major performance drops. This study throws light on the robustness of different classifiers when exposed to biased data, requiring further bias mitigation strategies in real-world applications. This paper actually examines critically how bias in training data can significantly affect the performance of prediction, fairness, and model selection in income classification tasks.

Research on the Application of Multi-ball Training Method in Table Tennis Training in Colleges and Universities

This paper aims to explore the practical application effect and strategy of multi-ball training method in table tennis training in colleges and universities. As an efficient and systematic training method, multi-ball training method has significantly improved the technical proficiency, physical fitness level and competition adaptability of athletes through continuous and repeated hitting practice. The study also pointed out that when applying multi-ball training method, we should pay attention to following the principle of moderation to avoid overtraining leading to physical fatigue and injury of athletes; At the same time, we should fully consider the individual differences of athletes and make personalized training plans; In addition, the importance of technical details should be emphasized to ensure that athletes form correct technical action stereotypes in training. Therefore, it is suggested that table tennis coaches in colleges and universities actively adopt this method in teaching and training to improve the quality and effect of training.

Luminescent Multifunctional Nanomaterials: Capacitive Removal and Enhanced Detection Efficiency of Heavy Metals Ions for Advanced Water and Wastewater Treatment Application

AbstractIn recent years, heavy metal ions pollution in the industrialized environment of the societies threaten human health that flaunt ill‐sorted blueprints in freshwater resources obviously. The paradigm of designing luminescent multifunctional nanomaterials finds directions to the strategies of synthesizing cost‐effective, green, and versatile nanomaterials not only for detection, but also removal process of heavy metal ions in large scale applications. Among them, discovering the advances of luminescent multifunctional nanomaterials provides broad types of biomaterials, polymers and porous nanoparticles that grabs focal of investigations over the past several years due to their unique advantages such as enhanced detection efficiency with lowest limit of detection (LOD), minimum ions interference in versatile removal process, fast responsivity and selectivity as outstanding as unique physicochemical properties. This review paper tries to highlight the paradigm of principles for design, development, and utilization of luminescence nanomaterials for considering fundamental detection and removal mechanisms of heavy metal ions. In particular, these nanomaterials increase the remediation quality that are tackled in detail by focusing on opportunities and challenges in the field. Finally, design methods of these nanomaterials and concentrating on empowered detection and removal efficiency for heavy metals ions highlights novel prospective and strategies for largescale applications.

Development and Biological Characterization of Cancer Biomimetic Membrane Nanovesicles for Enhancing Therapy Efficacy in Human Glioblastoma Cells

As nanocarriers of a new generation, biomimetic nanovesicles are an emerging class of therapeutic tools whose surface is integrated or fabricated with biomaterials capable of mimicking the biological features and functions of native cells. Thanks to this, biomimetic nanovesicles, in particular, those made by plasma membrane moieties, possess greatly improved biocompatibility, high target specificity, a long retention time, and minimal undesired immune responses. For these reasons, a multitude of progenitor cells including cancer ones were employed as templates to generate biomimetic or membrane-camouflaged nanovesicles hosting different therapeutic compounds. In this contribution, different membrane-derived biomimetic vesicles (M-NVs) were generated by osmotic lysis or plasma membrane isolation approaches from normal and cancer cell lines and assayed against in vitro models of human glioblastoma. M-NVs were compared in their cellular internalization degrees of DNA and proteins, morphologically and molecularly characterized, expressing an extracellular membrane-associated marker. Then, Rose Bengal (RB), a photoactivable drug characterized by a relatively low cellular uptake, was incorporated into nascent glioblastoma-derived M-NVs and finally administered to homotypic receiving cells, showing an increased degree of internalization as well as induced cytotoxic effects, even in the absence of photodynamic direct stimulation. Similar results were also obtained assaying lyophilized M-NVs loaded with RB. In conclusion, M-NVs generated by cell membranes effectively deliver several cargoes, including therapeutic molecules, maintain functionality after lyophilization, and show significant internalization effects, making them a promising strategy for therapeutic applications against human glioblastoma cells.

Authenticity in Interactive Experiences

Building on our previous work presented at the Eurographics GCH conference, this paper further explores the characteristics of an “authentic experience”, developing a framework that can be applied to the development of XR and hybrid applications in the field of cultural heritage. While recognising the broader concept of authenticity, we have not focused on an in-depth analysis of it. Instead, we focus specifically on “authentic experiences”. Here, we have extended the definition of authenticity beyond realism or sense of presence, proposing instead a multi-dimensional approach to engaging users cognitively, emotionally, and sensorially (the “Self” dimension) and, at the same time, including two otherfundamental dimensions (the “Others” and the “World”) intrinsically connected to the “Self”. We have then further detailed these three dimensions, which are the pillars of the perception of authenticity, identifying their “components” and “elements”. Finally, we transformed the elements into “actionable” design indications, setting the ground to further develop specific design (UI and UX) strategies for digital heritage and serious game applications.

Comparative analysis of RNN versus IIR digital filtering to optimize resilience to dynamic perturbations in pH sensing for vertical farming

AbstractVertical farming (VF) refers to systems of agriculture where crops are grown in trays stacked vertically by exposing them to artificial light and using sensing technology to improve product quality and yield. In this work, we propose an advanced filtering scheme based on recurrent neural networks (RNNs) and deep learning to enable efficient control strategies for VF applications. We demonstrate that the best RNN model incorporates five neuron layers, with the first and second containing 90 long short‐term memory neurons. The third layer implements one gated recurrent units neuron. The fourth segment incorporates one RNN network, while the output layer is designed by using a single neuron exhibiting a rectified linear activation function. By utilizing this RNN digital filter, we introduce two variations: (1) a scaled RNN model to tune the filter to the signal of interest, and (2) a moving average filter to eliminate harmonic oscillations of the output waveforms. The RNN models are contrasted with conventional digital Butterworth, Chebyshev I, Chebyshev II, and elliptic infinite impulse response (IIR) configurations. The RNN digital filtering schemes avoid introducing unwanted oscillations, which makes them more suitable for VF than their IIR counterparts. Finally, by utilizing the advanced features of scaling of the RNN model, we demonstrate that the RNN digital filter can be pH selective, as opposed to conventional IIR filters.

Active Photonic Glass for Hydrogen Generation.

Chirality is vital in many living species since it is responsible for structural iridescent coloration and plays a key role in light harvesting during natural photosynthesis. Developing photoactive materials with such chiral structures is a challenging but promising strategy for energy applications. Here, we describe a straightforward method to establish an active photonic glass obtained through the co-condensation oftetramethyl orthosilicate (TMOS) and titanium diisopropoxide bis(acetylacetonate) (TAA) dissolved in a liquid crystal formed from cellulose nanocrystalline (CNC). The inorganic glass maintains a long range of chiral nematic ordering, displaying iridescent colors characterized by a Bragg peak reflection. The reflected wavelengths are tuned all over the UV-visible range, demonstrating that the replica of the chiral nematic structure generates photonic properties. Incorporation of gold nanoparticles (Au NPs) into the films is further performed by impregnation/chemical reduction. We show that the charge carrier density and photocatalytic H2 generation were amplified when the photonic band gap edges matched the absorbance of the TiO2 and localized surface plasmon resonance (LSPR) of AuNPs. This photocatalytic glass with chiral nematic ordering and a tunable photonic bandgap paves the way for the development of metamaterials with new applications, such as asymmetric photocatalysis.

Highly Efficient Water and Nitrogen Application Strategies for Maintaining Summer Maize Yield in the North China Plain During Future Drought Years

ABSTRACTFuture frequent droughts threaten summer maize production in the North China Plain (NCP). A proper combination of irrigation and nitrogen (N) application can improve water and N use efficiency while maintaining summer maize yield. However, the optimal irrigation and N application strategies (OINASs) for summer maize during future drought years in the NCP require further exploration. This study applied the DSSAT‐CERES‐Maize model to investigate OINASs for summer maize for all drought years during 2021–2050 under three shared socioeconomic pathways (SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5). The performance of the OINASs was subsequently evaluated against no irrigation and N application (CK) condition and a conventional irrigation and N application strategy (CINAS). The results highlight the following: (1) For all drought years under the three SSP scenarios, the base fertilizer rate should be 60 kg/hm2, after that the irrigation and N application are required during the jointing and heading periods. Under the SSP1‐2.6 scenario, the average values of irrigation and N application during each earlier period are 35.5 mm and 22 kg/hm2. Under the SSP2‐4.5 and SSP5‐8.5 scenarios, the average values are (34.5 mm, 23 kg/hm2) and (47.5 mm, 18 kg/hm2). (2) Under all SSP scenarios, the optimal irrigation amounts and N application rates are much lower than those under the CINAS. After applying OINASs for summer maize, an average of 1.16–1.22 billion kg of N and 2.98–5.19 billion m3 of freshwater will be saved per future drought year in the NCP. (3) Under all SSP scenarios, the summer maize yields under the OINASs are slightly and significantly greater than those under the CINAS and CK conditions. Moreover, both water and N use efficiencies improved under the OINASs compared with those under the CINAS, with more significant improvements in N use efficiency. The OINASs provide a practical way to ensure food security and environmental sustainability.

“Resource-Conserving” engineered nanoparticles Mediate disulfidptosis by overcoming resistance to ferroptosis for antitumor immunotherapy

The highly reducing and immunosuppressive environment within solid tumors limits the application of ferroptosis and immunotherapy in clinical treatment. Elevated SLC7A11 transporter expression can strengthen tumor cells’ resistance to ferroptosis, but induce disulfidptosis under glucose starvation conditions. Here, using the ferroptosis resistance mechanism of tumor cells, we created a multifunctional nanoparticle (BZTFH) to induce disulfidptosis and accelerate ferroptosis, eventually causing immunogenic cell death (ICD) of tumor cells for synergistic cancer immunotherapy. After cellular internalization, the metal polyphenol network releases iron ions under acidic conditions, and then ZnO2 is degraded into Zn2+ and H2O2. The iron ions and H2O2 generate a sustained and powerful ROS storm through the Fenton reaction. Consequently, ferroptosis resistance is activated. Finally, the released glucose transporter inhibitor depletes the intracellular NADPH pool, and accumulates a large amount of intracellular disulfide molecules, thereby inducing cell disulfidptosis. The destruction of the reducing environment, along with the occurrence of disulfidptosis and ferroptosis, promotes the ICD effect. Simultaneously, Zn2+ causes STING activation, which in turn stimulate particular T cell responses, thereby reducing immunosuppression within the tumor microenvironment (TME). In short, we have successfully integrated ferroptosis and disulfidptosis for immunotherapy for the first time, presenting a potential therapeutic strategy for clinical application.

Repeated human cranial bone-derived mesenchymal stem cell transplantation improved electrophysiological recovery in a spinal cord injury rat model

Mesenchymal stem cell (MSC)-based therapy has been applied in several clinical trials of spinal cord injury (SCI). We have successfully established MSCs from human cranial bone and developed a longitudinal neuromonitoring technique for rodents. In addition to single transplantation, the potential of multiple transplantations has been suggested as a new therapeutic strategy. However, there are no reports on the electrophysiological effects of multiple MSC transplantations in SCI using transcranial electrical stimulation motor-evoked potentials (tcMEPs). Here, we aimed to elucidate the efficacy and mechanism of action of multiple MSC transplantations using tcMEPs. After establishing a weight-drop-induced SCI rat model, we performed repeated intravenous transplantation of human cranial bone-derived MSCs (hcMSCs) on days 1 and 3 post-SCI. Motor function and tcMEP recovery were evaluated 6 weeks post-transplantation. Tissue repair post-SCI was assessed using immunostaining for myelin and neurons in the injured posterior cord. Repeated hcMSC transplantation significantly improved motor function and electrophysiological recovery compared to single transplantation and control treatment. Repeated hcMSC transplantation promoted electrophysiological functional recovery by exerting a protective effect on the functional structure of pyramidal tract axons. Thus, acute-phase repeated transplantation could be a novel and effective therapeutic strategy for the clinical application of MSCs in SCI.

Construction and Characterization of Thermosensitive Hydrogel Loaded with Donepezil Nanosuspension and its Application for Transnasal Delivery

AbstractDonepezil (DPZ) is a reversible cholinesterase inhibitor used to treat Alzheimer's disease (AD), while with disadvantages such as gastrointestinal side effects after oral administration and poor adherence in the elderly. The purpose of this study was to develop a thermosensitive hydrogels loaded with donepezil nanosuspension (DPZ‐NS‐gel) for transnasal administration to improve brain targeting and reduce peripheral toxicity. The results of powder X‐ray diffraction and differential scanning calorimeter showed that the crystal type of DPZ changed from form II to form C during the grinding process. DPZ‐NS‐gel was obtained by mixing DPZ‐NS into the blank thermosensitive hydrogel constructed with poloxamer 407 and poloxamer 188. DPZ‐NS‐gel was in sol state at 25 °C and formed gel at 33 °C. Compared with DPZ‐NS, the in vitro release of DPZ‐NS‐gel showed the sustained release profile. In vivo studies indicated that DPZ‐NS‐gel by nasal administration may increase the amount of drug entering into the brain. The in vivo safety evaluation showed no severe inflammatory response and pathological change when DPZ‐NS‐gel was administered by nasal administration. This study provided a promising strategy for clinical application in improving the bioavailability of DPZ in the brain, avoiding oral‐induced gastrointestinal side effects and improving medication adherence in the elderly.

Biomass-Driven Polygeneration Coupled to Power-to-X: An Energy and Economic Comparison Between On-Site Electric Vehicle Charging and Hydrogen Production

The power-to-X strategy for passenger car applications offers a viable solution for using the surplus electrical power from renewable energy sources instead of exporting it to the grid. The innovative system proposed in this study allocates surplus electrical power from a building-integrated biomass-based Combined Cooling Heating and Power (CCHP) system to on-site applications and evaluates the energetic and economic benefits. The system comprises two key components: a 50 kW electric vehicle (EV) charging station for EVs and a 50 kW alkaline electrolyzer system for on-site hydrogen production, which is later dispensed to fuel cell electric vehicles (FCEVs). The primary goal is to decrease the surplus of electricity exports while simultaneously encouraging sustainable transportation. The system’s economic viability is assessed through two scenarios of fuel (e.g., biomass) supply costs (e.g., with and without fuel market costs) and compared to the conventional approach of exporting the excess power. The key findings of this work include a substantial reduction in surplus electricity exports, with only 3.7% allocated for EV charging and 31.5% for hydrogen production. The simple payback period (SPB) is notably reduced, enhancing economic viability. Sensitivity analysis identifies the optimal hydrogen system, featuring a 120 kW electrolyzer and a 37 kg daily hydrogen demand. The results underscore the importance of prioritizing self-consumed energy over exports to the national grid, thereby supporting integrated renewable energy solutions that enhance local energy utilization and promote sustainable transportation initiatives.

Effects of mulberry leaf powder water extract supplementation on the growth performance, immunity, antioxidant, meat quality and intestinal microbiota of yellow feather broilers.

A 50-day feeding trial was conducted to evaluate the effects of mulberry leaf powder water extract (MLE) on the growth performance, immunity, antioxidant, meat quality and intestinal microbiota of yellow feather broilers. A total of 720 birds (initial body weight 40.07 ± 0.05 g) were randomly distributed into four groups with six replicates per group and 30 birds per replicate. Four diets were formulated with 0% (CON), 200 mg/kg MLE (MLE200), 400 mg/kg MLE (MLE400) and 600 mg/kg MLE (MLE600) supplementation. Results showed that the addition of 200-600 mg/kg MLE to the diet significantly increased the body weight (BW) and average daily weight gain (ADG), but feed to gain ratio (F/G) were linearly decreased (p = 0.045) as dietary MLE increased. Birds fed MLE400 had higher (p < 0.05) total antioxidant capacity (T-AOC), interleukin-10 (Il-10), secretory immunoglobulin A (SIgA) and complement 3 (C3) contents than those fed CON, whereas MLE400 had lower malondialdehyde (MDA) content than CON (p < 0.05). Analysis of 16 S rDNA indicated that supplementation with 200 mg/kg MLE increased the Shannon indices in the caecum (p < 0.05). Supplementation with MLE decreased the abundance of the phylum Proteobacteria and genus Helicobacter, and increased the abundance of the phylum Bacteroidetes in the caecum in broiler chickens (p < 0.05). The drip loss rate in the MLE600 was significantly diminished (p < 0.05), whereas the shear force was significantly elevated (p < 0.05). In summary, dietary supplementation with MLE can effectively improve growth performance, intestinal immunity, serum antioxidant capacity, meat quality and intestinal microbiota of yellow feather broilers. The most appropriate MLE supplementation level was 400 mg/kg. This study provides a practical strategy for the dietary application of MLE in yellow feather broilers.

Low-temperature and in-situ regenerable ozone decomposition in aircraft with zeolite-encapsulated manganese-oxo cluster catalyst

Eliminating Ozone (O3) in aircraft cabin via catalytic decomposition is of vital importance to passenger health and oil tank anti-explosion. However, commercial catalysts work constantly at high temperature and need take-out regeneration after deactivation, causing high energy consumption and tedious maintenance. Here we attempt to address this issue by developing a manganese-oxo cluster encapsulated zeolite with initial wetness impregnation and microwave drying coupled method. Time-dependent O3 decomposition test show that the efficiency on the optimized sample was kept over 95 % for 98 h at low-temperature (−5 °C) and superhigh space velocity (720000 h−1), and well reproduced after mild regeneration (180 °C by air for 1 h, the lowest temperature for reversible regeneration of O3 catalyst reported ever). Combined EXAFTS, XPS, and DFT calculations reveal the mechanism: luxuriant charge transfer path within the [Mn3O3]n+ cluster accommodated in FAU supercage facilitates the allocation of electrons released from the rate-controlling step, rendering lower barrier energy and stabilized state of manganese for O3 decomposition. An application strategy of “cold air direct-processing and periodic in-situ regeneration” was patterned by robust performance on washcoated structured catalysts. This work affords new insights for upgrading aircraft O3 decomposition and presents metal-oxo zeolite as a platform to tailor practical catalysts.

Uptake, translocation and metabolism of N-phenyl-phthalamic acid in pepper and wheat

N-phenyl-phthalamic acid (PPA) is a new type of plant growth regulator that is widely utilized on fruit trees and crops in China. Understanding the physical and chemical behavior of PPA in plants is crucial for formulating application strategies and predicting potential environmental risks. This study investigated the uptake, translocation, and metabolism processes of PPA in pepper and wheat after different treatments. The roots of pepper and wheat can rapidly absorb and translocate PPA to the stems and leaves. In the 100 μg/mL treatment group, the PPA concentrations in the roots, stems, and leaves of pepper reached their maximum within 10 h after treatment, with 19.8, 2.4, and 2.9 mg/kg, respectively. Similar results can be detected in wheat. PPA can also be translocated from treated leaves to the entire plant in both pepper and wheat, and it tends to accumulate more in the upper leaves, with PPA mass percentages of 36.4 % and 36.9 % in the upper leaves of wheat and pepper, respectively, at 96 h. PPA is easily degradable in the plant body and seeds (the t1/2 was 1.3–3.3 d). The above results indicate that PPA is easily absorbed by the roots, leaves, and seeds of crops and, undergoes bidirectional translocation, and is easily degradable, which means that PPA can be applied in various ways and poses a relatively low risk to food safety.

Biochar as a strategy to manage stem rot disease of groundnut incited by Sclerotium rolfsii

Due to the pathogen’s ability to survive in the soil for longer durations, soil-borne diseases are often difficult to control. This study investigates the multifaceted impacts of biochar on the management of stem rot disease in groundnut and its influence on soil properties and microbial communities. The effects of biochar at different concentrations, such as 0%, 1%, 3%, and 5% on groundnut stem rot disease incited by Sclerotium rolfsii were evaluated thoroughly. Under laboratory conditions, biochar exhibited no direct inhibitory effects on S. rolfsii at varying concentrations but revealed an indirect suppression of sclerotial body production, suggesting a concentration-dependent influence on pathogen resting structures. Further, it was observed that biochar treatments effectively delayed symptom onset and reduced disease progression in groundnut plants, with significant variation observed among genotypes and biochar concentrations. Notably, interactions involving genotypes ICGV 171002 and ICGV 181035 with BC2 + Sr (3% conc. of biochar + S. rolfsii) and BC3 + Sr (5% conc. of biochar + S. rolfsii) treatments showed superior efficacy in disease reduction under controlled conditions. Field evaluations confirmed these findings, highlighting genotype-specific responses to biochar treatments. However, no significant difference was observed between BC2 + Sr (3%) and BC3 + Sr (5%) treatments in managing stem rot disease compared to controls. Biochar application significantly increased soil nutrient levels, including nitrogen, phosphorus, and potassium, and increased soil organic matter content, EC, pH, emphasizing its potential to improve soil fertility. Overall, these findings highlight the potential benefits of biochar for sustainable agriculture through disease management, soil nutrient enrichment, and microbial modulation, warranting further investigation into optimal application strategies across different agricultural contexts.

Eco-friendly silver nanoparticles from Stereospermum colais: A novel therapeutic strategy for breast cancer and antimicrobial applications

Eco-friendly silver nanoparticles from Stereospermum colais: A novel therapeutic strategy for breast cancer and antimicrobial applications

CULTURE-SPECIFIC ITEMS AND TRANSLATION STRATEGIES IN TIM O’BRIEN’S THE THINGS THEY CARRIED AND ITS INDONESIAN TRANSLATION

As one of the most complicated concepts to translate, a number of translators and researchers have presented various strategies to transfer the meaning of culture-specific items (CSIs) from one language to another. Through eight translation strategies used by professional translators based on Baker, this paper aimed to find the most applicable strategy to find a way around culture-specific items. In addition, this paper also attempted to categorize CSIs found in Tim O’Brien’s The Things They Carried according to Newmark’s five taxonomies of foreign cultural words. The comparative model in translation studies and comparative research were applied as methods to obtain and analyze data from both the source text and target text. The results showed that out of five taxonomies, social culture has the highest percentage overall with 45%. Furthermore, translation by paraphrase using unrelated words also has the highest percentage among the eight translation strategies with 31%. Therefore, it can be concluded that translation by paraphrase using unrelated words is the most applicable strategy to translate CSIs found in The Things They Carried.

A handheld fluorescent platform integrated with a Sm(III)-CdTe quantum dot-based ratiometric nanoprobe for point-of-use determination of phosphate.

Phosphate (Pi) is crucial for various physiological processes and aquatic environments, which emphasizes the need for a simple, on-site sensor to promptly detect Pi for human health and environmental conservation. In this study, we propose a dual-emission ratiometric fluorescence sensor for highly sensitive and visual Pi detection. The sensor employs samarium ions (Sm3+) as a core component, with cadmium telluride quantum dots (CdTe QDs) and ofloxacin (OFL) serving as signal carriers. The CdTe-Sm(III)-OFL nanoprobe emits a purple fluorescence resulting from the red fluorescence of CdTe QDs and the blue-green fluorescence of OFL. The fluorescence of OFL is quenched by Sm3+ through fluorescence resonance energy transfer (FRET). Upon Pi interaction, the FRET process is disrupted due to the competitive Pi-Sm3+ binding, which leads to the fluorescence recovery of OFL while the red fluorescence of CdTe remains steady. This enables the construction of a ratiometric fluorescent sensor for Pi detection, manifesting as a color change from purple to blue. The sensor demonstrated a linear response for Pi detection within the range of 0.1-75 μM, with a low detection limit of 17.0 nM. By utilizing the distinct fluorescence responses of various physiological phosphates and employing chemometrics, this innovative dual-emission sensor accurately distinguishes among different physiological phosphates. Furthermore, a portable lab-on-paper device based on CdTe-Sm(III)-OFL, coupled with a smartphone-integrated mini-device, is developed for swift Pi detection using an ordinary smartphone. Analytical performance validated on environmental and biological samples demonstrates the sensor's excellent robustness and adaptability. This study introduces a pioneering approach to fabricate ratiometric fluorescence sensors and customize portable, cost-effective mini-devices for precise target detection, thus opening avenues for advanced sensing strategies in various applications.