Research Support Research Articles

Effects of nutritional stress on soil fertility and antioxidant enzymes of rice in different growth periods.

Stress in plants denotes the detrimental impact of alterations in external environmental conditions on regular plant growth and development. Plants employ diverse mechanisms to mitigate or evade nutritional stress-induced damage. In order to investigate the physiological response mechanism of plants to nutritional stress and assess its impact on soil nutrient content and antioxidant enzyme activity in rice, a field experiment was conducted applying five treatments: control, nitrogen (N) deficiency, phosphorus (P) deficiency, potassium (K) deficiency, and full fertilization. Rice leaf and soil samples were concurrently gathered during both the vegetative and reproductive growth stages of rice. Analysis was conducted on soil N, P, and K levels, as well as leaf antioxidant enzyme activities, to investigate the impact of nutrient stress on rice antioxidant enzymes and soil fertility. The research findings indicate that full fertilization treatment enhanced the agronomic properties of the soil compared to the control treatment. In the N-deficiency treatment, reactive oxygen species (ROS) levels increased by 16.53-33.89% during the reproductive growth period compared to the vegetative growth period. The peroxidase (POD) activity decreased by 41.39% and superoxide dismutase (SOD) activity increased by 36.22% under K-deficiency treatment during the reproductive growth period compared to the vegetative growth period. Consequently, applying N and P fertilizer during the vegetative growth period can decrease membrane lipid peroxidation levels by 7.34-72.53%. The full fertilization treatment markedly enhanced rice yield compared to other treatments and increased the Nitrogen activation coefficient (NAC) and Phosphorus activation coefficient (PAC) in the soil, while decreasing the PAC. Elevating NAC levels can stimulate the activity or content of PRO, MDA, and RPS during the vegetative growth stage, whereas in the reproductive growth stage, it will decrease the content of ROS, PRO, and MDA. This data offers valuable insights and theoretical support for nutritional stress research.

An immunoassay for the quantification of phosphorylated α-synuclein at serine 129 in human cerebrospinal fluid.

The link between alpha Synuclein (α-Syn) phosphorylation and Parkinson's disease pathogenesis has not been fully elucidated, in part due to analytical methods with finite specificity and sensitivity, resulting in conflicting data on pathophysiological levels of the protein.One factor hindering the assessment of the role of pSer129 α-Syn is the lack of a fit for purpose assay. Antibodies were assessed for quantification of pSer129 α-Syn, resulting in a sensitive and specific assay suitable for use in Parkinson's disease and control CSF, with no significant difference found between the two populations. Total α-Syn was measured using a commercial kit, demonstrating a positive correlation between total and pSer129 α-Syn.This adds to available methods for pSer129 α-Syn in support of α-synucleinopathy research.

Factors affecting the performance of government R&D support programs in pharmaceutical enterprises

Purpose The government support for research and development (R&D) initiatives in the pharmaceutical sector has been declining. The purpose of this study is to analyze factors influencing the efficacy of government R&D support programs directed at pharmaceutical enterprises in South Korea, aiming to provide valuable insights for policymakers responsible for resource allocation in the pharmaceutical industry. Design/methodology/approach The study uses data from 490 R&D projects conducted by 106 pharmaceutical enterprises between 2018 and 2020, sourced from the National Technical Information Service and Drug Approval Research and Technology repositories. The data were analyzed using negative binomial regression analysis operated by the Statistical Package for the Social Sciences. Findings Applied research, cooperative research and the number of doctoral researchers positively impact both the quantitative and qualitative performance of the papers. The number of doctoral researchers, government research funds and the ratio of private investment to total R&D investment positively impacted the quantitative and qualitative performance of patents. However, enterprise age negatively affected patent performance. Notably, sales were significantly associated with patent qualitative performance but not with patent quantitative performance. Originality/value While previous studies have primarily focused on specific types of government R&D support or individual sectors, this study provides a broader perspective by incorporating a variety of variables, to examine the overall performance of government R&D programs in the pharmaceutical sector. This paper addresses the growing concern over declining government support and offers insights that were not fully explored in prior studies. By doing so, this research highlights the importance of understanding how diverse factors collectively influence the effectiveness of government R&D support, providing new directions for innovation and excellence in the pharmaceutical industry.

PPDC: An online platform for the prediction of plant distributions in China

Abstract The survival and reproduction of plants in a particular region are closely related to the local ecological niche. The use of species distribution models based on the ecological niche concept to predict potential distributions can effectively guide the protection of endangered plants, prevention and control of invasive plants, and plant introduction and ex-situ conservation. However, traditional methods and processes for predicting potential distributions of plants are tedious and complex, requiring the collection and processing of large amounts of data and the manual operation of multiple tools. Therefore, it is difficult to achieve large-scale prediction of the potential distributions of plants. To address these limitations, by collecting and organizing a large amount of basic data, occurrence records, and environmental data and integrating species distribution models and mapping techniques, a workflow to automatically predict the potential distributions of Chinese plants was established, thus the innovative work of predicting the potential distributions of 32,000 species of plants in China was completed. Furthermore, an online platform for predicting plant distributions in China (PPDC) based on visualization technology was developed, providing a basis for sharing the prediction results across a wide range of scientists and technologists. Users can quickly access information about the potential distributions of plants in China, providing a reference for the collection, preservation, and protection of plant resources. In addition, users can quickly predict the potential distribution of a certain plant in a certain region in China according to specific needs, thus providing technical support for research and a basis for biodiversity conservation.

Fintech’s role in carbon emission efficiency: dynamic spatial analysis

Against the backdrop of digitization and global warming, fintech plays a crucial role in accelerating the growth of green finance, driving innovation in the financial industry, and catalyzing the low-carbon transformation of economic activities. This paper utilizes city panel data from 2007 to 2019 to examine the direct impact of fintech on carbon emission efficiency (CEE), the transmission channels of green technological innovation and green finance, and the spatial spillover effects, using dynamic panel models, mediation effect models, and dynamic spatial Durbin models (SDM). The study finds that: (i) Fintech significantly improves CEE, and this conclusion remains robust after accounting for potential endogeneity issues and conducting robustness tests. (ii) Mechanism analysis reveals that green finance and green technological innovation are the primary channels through which fintech influences CEE. (iii) Results from the dynamic SDM model indicate that fintech has a significant positive spatial spillover effect on CEE, with the long-term spillover effect being smaller than the short-term spillover effect. (iv) Heterogeneity analysis reveals that fintech’s improvement effect on CEE is mainly evident in eastern regions, emerging first-tier and first-tier cities, and non-resource-based cities. Our research provides new insights for policymakers on achieving China’s dual-carbon goals through the promotion of fintech development, green finance, and green technological innovation. It also aids in the coordinated development of fintech among cities and the formulation of differentiated policies, providing a theoretical foundation and empirical support for future research.

AI Policies, Equity, and Morality and the Implications for Faculty in Higher Education

Artificial intelligence (AI) is transforming higher education. While universities have generally touted technological advancements as part of the fabric of their learning environments, the challenges to equitable outcomes for faculty and students related to the use of AI are under-recognized. There is scant work on the equity and morality of university AI policies and the implications for faculty within higher education institutions. While significant attention has been paid to the effect of tools like ChatGPT on student writing and academic integrity, less attention has been paid to how rapidly emerging AI policies affect other aspects of faculty work, and in potentially inequitable ways. This article considers AI policies at three large state universities to examine what policies are provided to faculty and their impacts, including instructional support for students, faculty research, and patents. Findings suggest that institutions vary greatly in terms of faculty guidance and far more work is needed to provide clear policies and resources regarding ethical AI for faculty. We discuss the implications, including challenges and opportunities for higher education institutions, and provide recommendations for moving forward as new technology continues to evolve.

Engaging Immigrant Women in Online Journaling as a Mode of Research and Psychosocial Support: Lessons Learned

Engaging Immigrant Women in Online Journaling as a Mode of Research and Psychosocial Support: Lessons Learned

Recent trends in US federal research support for imaging instrumentation grants to departments of radiology

Established by the United States National Institutes of Health (NIH) in 1982, the S10 program supports the purchase or upgrade of expensive, specialized, and commercially available equipment to be shared among NIH-funded researchers and used to supplement ongoing and future research projects in basic, translational, or clinical research. Given the critical role of biomedical research that uses costly dedicated imaging equipment and requires a large footprint, extensive user training, and frequent upgrades, we analyzed S10 awards to Radiology in the past 10 years.Data were exported from NIH RePORTER (Research Portfolio Online Reporting Tools) using a search of S10 awards from NIH fiscal year (FY) 2014 – FY2023. All awards and funding data were limited to clinical departments.From FY2014 – FY2023, the NIH awarded $273.0 M in S10 awards, corresponding to an average award amount of $837,377. During this 10-year period, departments of radiology received $135.8 M (49.7 %) across 116 awards (35.6 %), corresponding to an average award amount of $1.17 M Among the different S10 award types to Radiology, the most common was High End Instrumentation (HEI), with 54 (61.4 %) out of 116 awards.Departments of radiology received over one-third-of all S10 awards in the last 10 NIH FYs, corresponding to nearly half all federal S10 funding. The most common S10 award type to Radiology was the HEI, with funding for high priced imaging equipment, including MRI scanners and associated instrumentation for use in human or animal imaging.

Information technology capabilities: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions

Purpose Scientific production on the topic of information technology (IT) capabilities grows each year, leading researchers working in the field into difficulties to keep abreast of the new research flows, as well as to know the intellectual and conceptual structures that sustain the area. Thus, this study aims to present the result of the application of a quantitative approach on the international scientific production on the subject. Design/methodology/approach Several complementary bibliometric techniques were combined, such as keywords co-occurrence, bibliographic coupling and cocitation analysis. Considering that the bibliometric research support software currently available to the academic community has strengths and weaknesses, the present study uses three recent tools of analysis (VOSviewer, SciMAT and Bibliometrix), to explore the best that each can offer. Findings The authors analyzed 219 scientific papers available on the Web of Science. The authors identify the origins of the current literature on IT capabilities, as well as its foundations and main intellectual and conceptual structures, including a longitudinal view of the development of the theme. The paper also presents the main research fronts in the field, as well as several opportunities that can contribute to the advancement of research involving IT capabilities. Originality/value The fundamental themes for structuring the whole of the scientific production on IT capabilities, which had a higher level of development and connection with external research flows, are organizational performance, strategic management, resource and value-based view. Thus, future researchers will find underlying literature on IT capabilities in the context of business a rich and varied literature involving these major themes.

A systematic review and meta-analysis of the prevalence of tick-borne SFGR in China from 2000 to 2022.

Ticks carry and transmit a wide range of pathogens (bacteria, viruses, and protozoa) that pose significant threats to human and animal health worldwide. Only few meta-analyses have been conducted on the distribution of ticks and tick-borne spotted fever group rickettsia (SFGR). Therefore, this study aims to examine the tick species and SFGR positivity in China in order to provide support for further research and improvements in the prevention and control of tick-borne diseases. This systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant Chinese and English studies were retrieved from PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), VIP database, Chinese Biomedical literature database (CBM) and Wanfang database from inception to January 9, 2023. Pooled SFGR positive rate was meta-analyzed using a random effects model and heterogeneity was assessed by the I2 index. Publication bias was also evaluated by funnel plot and Egger's test. The meta-analysis was performed on R studio 4.0.4. Meta-analysis of 57 studies published between 2000 and 2022 involving 39,380 ticks revealed a pooled SFGR positive rate of 21.4% (Q = 6423.74, I2 = 99%, Q-p<0.001, 95% CI: 15.0-29.6). Most studies of tick-borne SFGR infection rate were conducted in forest areas and developed animal husbandry areas in the northern region. There were slightly more tick species in the southern region, but the differences in tick species (Feeding tick 31.5%, 95%CI: 15.7-53.2, Questing tick 11.5%, 95%CI: 4.4-26.7, Q = 3.29, Q-p = 0.19) between areas (Northern area 20.4%, 95%CI: 14.1-28.7, Southern area 25.5%, 95%CI: 15.0-29.6, Q = 0.21, Q-p = 0.64) were not statistically significant. The most common tick species were Dermacentor silvarum (13%), Ixodes persulcatus (11%) and Haemaphysalis Iongicornis (10%), and the most prevalent SFGR species were Rickettsia raoultii (20%), Rickettsia heilongjiangiensis (11%), and some uncultured species (18%). This study examined the distribution of tick-borne SFGR in China. Our findings revealed that the main tick species were D. silvarum, I. persulcatus and H. iongicornis, and the common SFGR species were R. raoultii, R. heilongjiangiensis, and some uncultured species. Further studies are warranted to identify the potential vectors of SFGR and to better understand the epidemiology and pathogenesis of tick-borne diseases in China.

Growing Tomato Seedlings Suitable for Mechanical Grafting under Regulated Light Regime

Abstract: The uniformity of growth and mechanical properties of grafted seedlings affect the quality of mechanical grafting operations. The growth uniformity of grafted seedlings in a greenhouse will be poor due to the uneven and unstable light and temperature conditions. Plant factories can cultivate grafted seedlings in the most suitable environment by regulating environmental parameters such as light and temperature. The aim of this study was to investigate the impact of the light conditions on tomato seedlings in plant factory and to develop an optimal cultivation light formula. The effects of light intensity (50, 100, 150, 200, and 250 μmol m−2 s−2) and photoperiod (10, 12, 14, 16, and 18 h a day(h/d)) on the morphological and mechanical properties of tomato seedlings were experimentally investigated. Orthogonal experiments were conducted involving light quality (R:B = 75:25, R:B = 50:50, and R:B = 25:75), light intensity (150 μmol m−2 s−2, 200 μmol m−2 s−2, and 250 μmol m−2 s−2), and photoperiod (14, 16, and 18 h/d) as independent variables to determine the optimal combination. Finally, a comparative grafting experiment was conducted between the seedlings cultivated using the optimal light formula and commercially available seedlings. The result showed that increasing light intensity inhibited hypocotyl length and promoted seedling stem growth, and excessive light intensity decreased seedling mechanical properties. The optimal light intensity for rootstocks is 200 μmol m−2 s−2, and the optimal light intensity for scions is 250 μmol m−2 s−2. Shortening the photoperiod would promote hypocotyl growth and inhibit seedling stem elongation. Different photoperiods had a significant impact on the mechanical properties of tomato seedlings. The most suitable photoperiod for rootstocks was 18 h/d and for scions was 16 h/d. The most suitable light formula was R:B = 50:50, 250 μmol m−2 s−2, 18 h/d. By analyzing the experimental results, the mechanical properties of seedlings grown by the regulated light environment were better than those of commercially available seedlings, and the success rate of mechanical grafting was 7% higher. Overall, in plant factories compared to commercially available tomato seedlings, tomato seedlings cultivated by the regulated light environment were more suitable for mechanical grafting. This research result provides theoretical support for subsequent research on grafting machinery.

The current status and improvement directions of legal rules regarding Chinese national gene banks for farm animal genetic resources.

A gene bank for farm animal genetic resources (FAGR) is an important facility for the diversity conservation of FAGR. The primary purpose of gene banks for FAGR is the reconstruction of those breeds. With the advent of the post-genomic era, gene banks for FAGR have increasingly become an infrastructure for the support of livestock research and animal breeding, and a platform for international research collaboration. China is one of the richest countries in the world in terms of FAGR. Chinese National Gene Banks for FAGR (CNGBFs) have an important legal status and play an important function in the Chinese FAGR protection system. In this paper, we reviewed the current situation of CNGBFs construction, and systematically collected and analyzed legal rules related to CNGBFs. As results, those legal rules were categorized into two types: (a) organization and management, (b) activities. We summarized problems existing in the current legal rules for CNGBFs from three levels: institution, practical operation, and digital development. Improvement directions of legal rules regarding CNGBFs are proposed. They include clarifying the utilization function of CNGBFs and the ownership of FAGR in CNGBFs. Moreover, improving the mechanism of administrative management, rules on domestic and international access and benefit-sharing, and the system of digital sequence information management are also suggested. The improvements in those legal rules will contribute to the appropriate utilization of Chinese FAGR and international collaborations.

Lightweight Detection of Train Underframe Bolts Based on SFCA-YOLOv8s

Improving the accuracy and detection speed of bolt recognition under the complex background of the train underframe is crucial for the safety of train operation. To achieve efficient detection, a lightweight detection method based on SFCA-YOLOv8s is proposed. The underframe bolt images are captured by a self-designed track-based inspection robot, and a dataset is constructed by mixing simulated platform images with real train underframe bolt images. By combining the C2f module with ScConv lightweight convolution and replacing the Bottleneck structure with the Faster_Block structure, the SFC2f module is designed for feature extraction to improve detection accuracy and speed. It is compared with FasterNet, GhostNet, and MobileNetV3. Additionally, the CA attention mechanism is introduced, and MPDIoU is used as the loss function of YOLOv8s. LAMP scores are used to rank the model weight parameters, and unimportant weight parameters are pruned to achieve model compression. The compressed SFCA-YOLOv8s model is compared with models such as YOLOv5s, YOLOv7, and YOLOX-s in comparative experiments. The results indicate that the final model achieves an average detection accuracy of 93.3% on the mixed dataset, with a detection speed of 261 FPS. Compared with other classical deep learning models, the improved model demonstrates superior performance in detection effectiveness, robustness, and generalization. Even in the absence of sufficient real underframe bolt images, the algorithm enables the trained network to better adapt to real environments, improving bolt recognition accuracy and detection speed, thus providing technical references and theoretical support for subsequent related research.

Insects as Sustainable Feed: Enhancing Animal Nutrition and Reducing Livestock Environmental Impression.

Insects are emerging as a promising alternative source in animal nutrition, offering high protein content and a low environmental impression compared to traditional feed sources. This abstract explores the potential role of insects in reducing the environmental impact of livestock production. Insects such as black soldier fly larvae, mealworms, and crickets are rich in essential nutrients, including proteins, amino acids, fatty acids and so on. They can be efficiently farmed on organic waste streams, contributing to resource efficiency and waste lessening. Additionally, insect farming needs a small quantity of water, less land, and emits fewer greenhouse gases than conventional animal feed production. Despite these benefits, several challenges must be addressed to realize their potential, including regulatory approval, consumer acceptance, production scalability, and ensuring consistent nutritional quality. By overcoming these challenges through research, innovation, and policy support, insects can be integrated into mainstream animal feed systems, significantly reducing the environmental impact of livestock farming and contributing to a more sustainable agricultural future.

MLA Research Training Institute (RTI) 2018 and 2019: participant research confidence and program effectiveness.

The article reports on an assessment of the effectiveness of the MLA Research Training Institute (RTI) for the years 2018 and 2019. The RTI is a year-long continuing education research methods training and support program for health sciences librarians. The study focuses on assessing RTI participants' research confidence after program completion and compares these results with their perceptions of workshop/program performance and learning outcomes. In addition, the authors discuss how the findings were applied to inform and improve the program. The study used a 26-item questionnaire, RTI Research Confidence Questionnaire, to gather information on participants' self-reported research confidence before the workshop, immediately after the workshop, and one year after the workshop to determine statistically significant differences. Differences in research confidence were identified by using three nonparametric statistical tests. Additional workshop and program surveys were used to corroborate the research confidence findings. Post-workshop and one-year-after-workshop research confidence ratings were significantly higher than pre-workshop levels for years 1 and 2. A comparison of median ratings between years 1 and 2 showed significant increases in research confidence for nine items in year 2. Participants' positive perceptions of workshop/program effectiveness and learning outcomes corroborated these findings. Overall assessment findings indicated that RTI training helped participants understand, use, and apply research skills to conduct research. Findings also revealed that participants' heightened research confidence persisted at least 12 months postintervention. The RTI Research Confidence Questionnaire proved effective for rigorously assessing and improving the RTI program. This study enhances the currently limited evidence on evidence-based approaches for assessing and improving research instruction for librarians.

Update and validation of the Beliefs about Losing Control Inventory-II (BALCI-II): a psychometric investigation

ABSTRACT The Beliefs about Losing Control Inventory (BALCI) was developed to assess negative beliefs about losing control in obsessive-compulsive disorder (OCD). Since its creation, research and theoretical work support negative beliefs about losing control as a potential transdiagnostic construct. The present study revised and expanded the original BALCI to be more inclusive of control-related concerns beyond those that would be expected in OCD (e.g. concerns about losing control over how one comes across to others in social anxiety disorder; SAD). Undergraduate students (N = 440) completed a questionnaire battery including the BALCI-II item pool. An exploratory factor analysis of the 32-item BALCI-II supported a four-factor solution. Three of the identified factors capture the feared consequences of losing control: 1) overwhelming emotions, 2) dangerous behaviour, and 3) madness. The fourth factor captures inflated beliefs about probability/severity of those losses. The BALCI-II was found to have good convergent and divergent validity, good to excellent internal, and retest reliability and was shown to have predictive utility in both OCD and SAD, above and beyond existing disorder-specific maladaptive belief domains. Results suggest the BALCI-II is an improvement over the previous version and supports the relevance of these beliefs beyond OCD.

The Impact of Flow-Thermal Characteristics in Ship-Board Solid Oxide Fuel Cells

Hydrogen is increasingly recognized as a clean and reliable energy vector for decarbonization in the future. In the marine sector, marine solid oxide fuel cells (SOFCs) that employ hydrogen as an energy source have already been developed. In this study, a multi-channel plate-anode-loaded SOFC was taken as the research object. A three-dimensional steady-state computational fluid dynamics (CFD) model for anode-supported SOFC was established, which is based on the mass conservation, energy conservation, momentum conservation, electrochemical reactions, and charge transport equations, including detailed geometric shapes, model boundary condition settings, and the numerical methods employed. The polarization curves calculated from the numerical simulation were compared with experimental results from the literature to verify the model’s accuracy. The curved model was applied by enlarging the flow channels or adding blocks. Numerical calculations were employed to obtain the current density, temperature distribution, and component concentration distribution under the operating conditions of the SOFC. Subsequently, the distribution patterns of various physical parameters during the SOFC operation were analyzed. Compared to the classical model, the temperature of the curved model was reduced by 1.3%, and the velocities of the cathode and anode were increased by 4.9% and 5.0%, respectively, with a 2.42% enhancement in performance. The findings of this study provide robust support for research into and the application of marine SOFCs, and offer they insights into how we may achieving “dual carbon” goals.

An Overview of Multifaceted Applications and the Future Prospects of Glyceroglycolipids in Plants.

Glyceroglycolipids (GGLs) are a class of lipid molecules that contain a glycerol backbone and one or more carbohydrate moieties, giving them amphipathic properties with both hydrophilic and hydrophobic regions. This amphipathic nature is fundamental for composing cell membrane lipid bilayers. These compounds are primarily distributed on the inner chloroplast membranes of plants and exhibit a unique structure with numerous biological activities. Moreover, GGLs play a pivotal role in photosynthesis and energy conversion in plants and effectively respond to environmental stressors. This Review discusses the distribution, synthesis pathways, and functions of GGLs in plants and describes the recent updates on various methods for extracting, isolating, and identifying GGLs. Finally, this Review discusses the biological activities of plant GGLs, including their anti-inflammatory, antiviral, and anticancer properties, and highlights their potential applications in the fields of pharmaceuticals, food, and cosmetics. This Review provides insights into GGLs, offering research support for the application of these natural molecules in the realm of holistic health.

Bullying Systematic Mapping Review

For the United Nations Educational, Scientific, and Cultural Organization, school violence refers to the power imbalance within a context that educational systems can inhibit or favor. However, violence resulting from the power imbalance is structural and can occur between principals against teachers or teachers against students.At the international level, the term "bullying," proposed by Olweus, is used to refer specifically to violence between students, i.e., between peers in the school environment. Bullying is a complicated problem to study and investigate. Therefore, the approach to the phenomenon through scientific production is helpful to understand how knowledge on the subject has evolved.The objective of this text is to present, through the methodological process of systematic literature mapping, the scientific production on bullying, available in open access and Spanish, susceptible to configuring an updated state of the art. The systematized presentation of the results provides elements and documentary support for future research and advocacy projects on bullying

Study on the Relationship between Groundwater and Land Subsidence in Bangladesh Combining GRACE and InSAR

Due to a heavy reliance on groundwater, Bangladesh is experiencing a severe decline in groundwater storage, with some areas even facing land subsidence. This study aims to investigate the relationship between groundwater storage changes and land subsidence in Bangladesh, utilizing a combination of GRACE and InSAR technologies. To clarify this relationship from a macro perspective, the study employs GRACE data merged with GLDAS to analyze changes in groundwater storage and SBAS-InSAR technology to assess land subsidence. The Dynamic Time Warping (DTW) method calculates the similarity between groundwater storage and land subsidence time series, incorporating precipitation and land cover types into the data analysis. The findings reveal the following: (1) Groundwater storage in Bangladesh is declining at an average rate of −5.55 mm/year, with the most significant declines occurring in Rangpur, Mymensingh, and Rajshahi. Notably, subsidence areas closely match regions with deeper groundwater levels; (2) The similarity coefficient between the time series of groundwater storage and land subsidence changes exceeds 0.85. Additionally, land subsidence in different regions shows an average lagged response of 2 to 6 months to changes in groundwater storage. This study confirms a connection between groundwater dynamics and land subsidence in Bangladesh, providing essential knowledge and theoretical support for further research.