Rapid Growth Research Articles

The spatiotemporal evolution characteristics and influencing factors of habitat quality in the typical region of the Lunan Economic Belt: a case study of Donggang District, Rizhao.

Habitat quality is a key indicator for evaluating the biodiversity of a region. This study aims to assess the current status and characteristic changes of habitat quality in Donggang District, Rizhao while analyzing the potential factors influencing the quality of the habitat. The study employed the Integrated Valuation of Ecosystem Services and Tradeoffs Habitat Quality (InVEST-HQ) mode to assess the spatiotemporal variations in habitat quality in the Donggang District from 2008 to 2022. GeoDetector was utilized to investigate the impact of various factors on the spatial differentiation characteristics of habitat quality. The potential correlation between economic development and habitat quality was further explored using the Spearman correlation coefficient and Grayscale Association Analysis. The results reveal that habitat quality in Donggang District is highest in the east and lowest in the west, with significant correlations to land use and vegetation coverage. The study highlights a decline in habitat quality over the period, linked to rapid economic growth and industrial expansion. These insights are crucial for balancing urban biodiversity with economic development.

The impact of urban form on the energy efficiency of residential buildings in a hot climate. Case study: Ouargla city

Urban development is intensifying significantly in cities, mainly due to rapid population growth. However, this development is accompanied by increased vulnerability to climate change, leading to higher energy consumption. This energy demand is even more pronounced in hot climates, where temperatures are very high during the summer season. The Algerian Sahara is no exception, and is experiencing very accelerated development, which has given rise to the appearance of new urban districts, and different urban characteristics compared to the original core, which constitutes the urban form most adapted to the desert climate and in perfect harmony with the immediate environment. This study attempts to assess the effect of the different urban forms that make up the fabric of the city of Ouargla in south-east Algeria, taken as a case study, on the energy consumption of buildings in a hot climate. This research adopts a mixed approach to evaluate the energy consumption of three buildings located in three neighbourhoods with different urban characteristics. A quantitative estimate of the energy consumed for cooling during the summer season for the three typical buildings selected was simulated using DesignBuilder software, taking into account the city’s specific climatic data, as well as the urban characteristics of the three neighbourhoods selected for the study. As a result, this evaluation covers both the architectural and urban scales. For the qualitative assessment, a field survey was carried out using questionnaires to assess the quality of thermal comfort outside neighbourhoods and its impact on building interiors, and consequently on energy consumption. The results indicate the significant effect of urban form on energy consumption, confirming that the traditional form is the most appropriate to achieve better energy efficiency in a hot climate. Therefore, the research recommends taking into account various influential factors and applying design strategies, regarding urban form, from the first stage of the design process.

Tracking the impact of the land cover change on the spatial-temporal distribution of the thermal comfort: Insights from the Qinhuai River Basin, China

China's rapid economic growth and urbanization have caused significant Land Cover Changes (LCC), worsened the Urban Heat Island (UHI) effect and reducing the Thermal Comfort (TC). Despite existing studies, there remains a gap in understanding the specific contributions of various LCC types to the TC, particularly in Qinhuai River Basin. This study addresses this gap by examining the LCC effects from 2013 to 2022 based on targeted metrics. We propose a novel TC classification model and introduce indices, including the Land Cover Contribution Index (LCI) and the Land Cover Classification Contribution Index (LCCI), to quantify the influence of different LCC types on the TC. Our findings reveal that farmland and woodland positively impact the TC, while the negative influence of impervious surfaces has intensified. The area of farmland in the most comfortable category has shown significant variability, while impermeable surfaces in uncomfortable and very uncomfortable categories have surged. Additionally, the Urban Water Body Contribution Index (U-WCI) consistently exceeded the Non-Urban Water Body Contribution Index (N-WCI), indicating an enhanced UHI effect within urban areas. This study concludes that changes in farmland and impervious surfaces are crucial for the TC and provides practical recommendations for land use planning against climate change.

Exploring the LULC dynamics and its relation with land surface temperature variation using split window algorithm: A study of Barasat subdivision, West Bengal, India.

Rapid urban growth in an unplanned way, decreased forest cover and consequential changes in land use in urban and rural areas have become pivotal obstacles for policymakers and urban planners to a great extent. Specifically, in a developing country like India, the repercussions of these changes have generated a substantial alteration in climate in the form of increased land surface temperature (LST), heat islands and associated human health risks. This research was initiated to assess the interrelationship between LST and LULC dynamics using spatial techniques over the Barasat Sub-Division in West Bengal (India). This study encompasses the extraction of LST using satellite images, seasonal variations of LST, the relationship of different land indices (i.e. NDVI, NDBI, NDMI and NDWI) with LST, and hotspot analysis of the landscape to get a comprehensive understanding of LST changes from 1988 to 2023, seasonal patterns, and relationships with LULC dynamics in the study area. The results of this research signify a substantial percentage increase in built-up spaces (51%), a decline in fallow areas (- 73%), relatively higher LST changes (3.41°C) in high-density built-up areas (e.g. Madhyamgram), a positive relationship (e.g. r2 = 0.59) between NDBI and LST, a transition from a cold spot to a hot spot share of 20% and a persisting hot spot of 42% throughout the summer season (1988 to 2023) in the selected landscape. The findings of this study will improve our present knowledge of seasonal fluctuations in land surface temperature (LST) and the variables that influence them. These findings will also draw attention to the growing worries about the fast variations in LST and the climatic and health hazards they pose. It is advised to establish planned urban expansion, efficient land use and land cover (LULC) management laws and encourage green areas that support sustainable development in India's urban surroundings in order to reduce these dangers.

Improving Optical Transmission Performance in Multi-Channel Networks Utilizing Convolutional Neural Network-Enabled Digital Signal Processing to Mitigate Four-Wave Mixing

ABSTRACT The rapid growth of online services and the global transition to digital platforms, accelerated by the COVID-19 pandemic and the emergence of AI-based services, have led to a surge in demand for high-capacity optical communication networks (OCNs). However, this transition exacerbates the issue of fiber nonlinearity, notably four-wave mixing (FWM), which can significantly impact signal integrity in long-distance OCN transmissions with multiple channels. To address this challenge, this paper presents a novel approach leveraging a convolutional neural network (CNN)-based digital signal processing (DSP) model to mitigate the nonlinear effects of FWM on signal quality. The proposed CNN model, designed with three convolutional layers and trained on a comprehensive dataset of simulated OCN transmissions, demonstrates significant improvement in reducing nonlinear distortions caused by FWM. Our method is compared with traditional compensation techniques, such as digital back-propagation and Volterra series-based equalizers, showing a reduction in power penalties by 1 dB and an enhancement in the power budget by 2 dB. Simulation results indicate that the bit error rates (BERs) remain consistently below the critical threshold of 10−9 across various transmission distances, outperforming conventional methods. The simulation analysis, conducted on a 100 km multi-channel OCN testbed, confirms the CNN equalizer’s efficacy in reducing crosstalk and improving power efficiency, with a demonstrated 15% reduction in required launch power. Moreover, the analytical models used to evaluate the CNN-based DSP model show high accuracy in predicting performance, underscoring the model’s capability to achieve high-quality transmission with lower power requirements. These findings advocate for the integration of our CNN-based DSP model into OCNs, offering a fruitful solution for managing multi-channel, long-distance, and high-data-rate optical transmissions in real-world systems.

Kimberly Bryant’s Black Girls Code: closing the opportunity gap in technology for black women and girls

Research methodology This case study was developed using publicly available published sources like the company’s website, articles, blogs, videos, filings, etc. Multiple sources were used to put together the chronology, quotes and details. This case is not disguised. All the key figures in the case study are identified by their real names. Case overview/synopsis Black Girls Code (BGC) was founded by Kimberly Bryant (Bryant, she) as a nonprofit organization in 2011. BGC conducted workshops and programs to teach young girls of color technology, science, engineering and math and train them in Web design, developing apps and robotics. It aimed to address the lack of diversity in science and technology. The organization has received support from tech giants like Google, Facebook and IBM. In one decade, the organization trained more than 30,000 girls and aimed to teach one million girls by 2040. In 2021, the BGC board ousted Bryant, citing allegations of workplace impropriety. She was put on paid administrative leave by the board. This ousting was done in the aftermath of complaints by several employees who raised concerns about Bryant’s conduct. The former and current employees said that high turnover in the organization was due to Bryant’s leadership, which was rooted in fear, and that she would publicly insult managers. The board formed a special committee to evaluate the concerns and sent Bryant on administrative leave. Cristina Jones, who succeeded Bryant as CEO, brought about several changes in the organization and expanded the scope of science, technology, engineering and math to include arts. She expanded the courses to include design, gaming and others. She was looking forward to launching one million black girls in tech by 2040. But before she could go on, she needed to ensure that the ouster of the founder did not hinder the activities at BGC in any manner and also needed to address the concerns of employees, students and funders. Complexity academic level This case can be used to learn about nonprofits, the role of nonprofits in building an equitable society and nonprofit entrepreneurs. The objective is to understand how passionate entrepreneurs can create organizations that can make a high impact with limited resources but with ambition and vision for radical change. This case also helps in learning the challenges encountered due to the rapid growth of startups and the role of the leader in handling such growth. This case can be integrated into any of the existing courses or taken as a special case study to illustrate the gender and racial disparities that exist even in highly developed countries like the USA.

Evolution and simulation optimization of rural settlements in urban-rural integration areas from a multi-gradient perspective: A case study of the Lan-Bai urban agglomeration in China

With the rapid growth of global urbanization, rural land has been continuously occupied, which has brought about profound changes in human-land relationship. As a rural regional system in the frontier area of urbanization, the rural settlements in the urban-rural integration area (URIA) are in a profound transformation due to multiple disturbances such as internal natural factors and social and economic factors brought about by external urbanization. Based on the internal and external system factors of rural settlements, this paper constructs an analytical framework to explore the spatial and temporal evolution pattern of URIA rural settlements from 2000 to 2020, and then summarizes its evolution model, and predicts the situation of rural settlements in different scenarios in 2030. Finally, the optimal control strategy is proposed. The results show that: (1) From 2000 to 2020, affected by the gradient of natural environment, the scale of rural settlements in URIA shows a trend of decreasing in low-altitude areas near rivers and increasing in high-altitude areas far from rivers. Under the socio-economic gradient, there is a phenomenon that the scale of rural settlements in the inner edge of URIA with better socio-economic environment decreases and the scale of settlements in the outer area of URIA with poor socio-economic environment increases. (2) Based on different environmental factors, in the internal natural environment, it shows the evolution mode of “terrain containment” and “water source guidance”, while in the socio-economic environment, it shows the evolution mode of “urban sprawl encroaches rural”, “population decrease and land increase”. (3) The simulation results of rural settlements in 2030 show that the scale of rural settlements in the periphery of URIA continues to increase under the natural development (ND) scenario, while the scale of rural settlements in the inner edge decreases and the distribution is scattered. Under the urban-rural integration development (URD) scenario, rural settlements are mainly concentrated in the core area of URIA, and the area of rural settlements turning into urban land has dropped significantly. (4) Based on different gradients, the settlements are divided into three types: centralized development type, restricted development type and migration remediation type. Patch reconstruction is carried out by gravity model, which can theoretically save land and vacate 327 hm2 of construction land index. Compared with the extensive development model of the ND scenario, the URD scenario has important theoretical significance in limiting the blind expansion of the city and realizing the integration of urban and rural development in Lanbai.

Research on the Investment Value of BYD Based on SWOT, Financial, and Valuation Methods

Against the backdrop of environmental degradation, green energy transformation is a strategic measure to address climate change and promote green development. The new energy vehicle industry is experiencing an unprecedented period of rapid growth. As a leading player in this sector, BYD's development is virtually representative of the Chinese new energy vehicle industry. SWOT analysis, financial analysis, and valuation analysis are crucial criteria for assessing the development status of a company. Through the analysis of profitability, operational capability, and P/E ratio data, the development status, operational capability, market competitiveness, and growth potential of a company can be directly reflected. The results show vertical integration of supply chain and cost advantage is the main strength of BYD, however it has the weakness of excessive dependence on Chinese government subsidies. From the perspective of financial performance, it has great profitability and its operating capacity situation is good. Moreover, the valuation shows it is worth for investment. This provides decision-makers with information and suggestions on enterprise management, investment, and financing, helping investors and managers make rational decisions.

Exploring the Frequency and Risk Factors of Hyperprogressive Disease in Patients with Advanced Melanoma Treated with Immune Checkpoint Inhibitors.

Hyperprogressive disease (HPD) is described as the unexpected rapid growth of a tumour accompanied by a decline in performance status. While immune checkpoint inhibitors (ICIs) have improved outcomes in advanced melanoma, HPD remains a significant challenge in a subset of patients. Although HPD has been extensively studied in various solid tumours, research specifically focusing on advanced melanoma remains limited. We analysed 158 advanced melanoma patients, with 66.5% (n = 105) receiving anti-PD-1 and 33.5% (n = 53) receiving nivolumab plus ipilimumab. The median overall survival was 4.9 months for patients with HPD compared to 8.9 months for those with progressive disease without HPD (p = 0.014). Factors associated with HPD included liver metastasis (p = 0.002), three or more metastatic sites (p < 0.001), elevated lactate dehydrogenase levels (p = 0.004), and Eastern cooperative oncology group performance status ≥2 (p = 0.023). Multivariate analysis identified the Royal Marsden Hospital score (HR 3.675, 95% CI: 1.166-11.580, p = 0.026) as an independent risk factor for HPD, with the MDA-ICI score also trending towards significance (HR 4.466, 95% CI: 0.947-21.061, p = 0.059). This study provides valuable insights into the frequency and factors associated with HPD in advanced melanoma patients treated with ICIs, highlighting the relevance of clinical markers and scoring systems in predicting HPD risk.

Design of agricultural question answering information extraction method based on improved BILSTM algorithm

With the rapid growth of the agricultural information and the need for data analysis, how to accurately extract useful information from massive data has become an urgent first step in agricultural data mining and application. In this study, an agricultural question-answering information extraction method based on the BE-BILSTM (Improved Bidirectional Long Short-Term Memory) algorithm is designed. Firstly, it uses Python’s Scrapy crawler framework to obtain the information of soil types, crop diseases and pests, and agricultural trade information, and remove abnormal values. Secondly, the information extraction converts the semi-structured data by using entity extraction methods. Thirdly, the BERT (Bidirectional Encoder Representations from Transformers) algorithm is introduced to improve the performance of the BILSTM algorithm. After comparing with the BERT-CRF (Conditional Random Field) and BILSTM algorithm, the result shows that the BE-BILSTM algorithm has better information extraction performance than the other two algorithms. This study improves the accuracy of the agricultural information recommendation system from the perspective of information extraction. Compared with other work that is done from the perspective of recommendation algorithm optimization, it is more innovative; it helps to understand the semantics and contextual relationships in agricultural question and answer, which improves the accuracy of agricultural information recommendation systems. By gaining a deeper understanding of farmers’ needs and interests, the system can better recommend relevant and practical information.

Rapid α-Al2O3 Growth on an Iron Aluminide Coating at 600 °C in the Presence of O2, H2O, and KCl.

In this work, a slurry iron aluminide-coated ferritic steel SVM12 was subjected to a laboratory experiment mimicking superheater corrosion in a biomass-fired power boiler. The samples were exposed under model Cl-rich biomass conditions, in a KCl + O2 + H2O environment at 600 °C for 168, 2000, and 8000 h. The morphology of corrosion and the composition of the oxide scale and the coating were investigated by a combination of advanced analytical techniques such as FESEM/EDS, SEM/EBSD, and XRD. Even after short-term exposure, the coating developed a very fast-growing and up to 50 μm thick α-Al2O3 scale in contrast to the spontaneous formation of a protective, thin, dense, slow-growing, and very adhesive α-Al2O3 layer usually formed on metallic materials after high-temperature oxidation. In view of the literature on the formation of oxide scales on alloys and coatings, the formation of an α-Al2O3 scale at this relatively low temperature is very surprising in itself. The thick alumina scale was not protective as its formation resulted in fast degradation of the coating and rapid Fe2Al5 → FeAl phase transformation, which in turn generated porosity inside the coating. In all cases, the resulting thick Al2O3 scale was porous and consisted of both equiaxed α-Al2O3 grains and randomly oriented aggregated alumina whiskers. Potassium is concentrated in the outer part of the Al2O3 scale, while chlorine is concentrated close to the scale/aluminide interface. The unexpected formation of rapidly growing α-Al2O3 at relatively low temperature is attributed to the hydrolysis of aluminum chloride generated in the corrosion process.

From Convention to Contention: La Famille de Saltimbanques and Les Demoiselles d'Avignon

In 1905 and 1907 Pablo Picasso worked on two large canvases for which multiple preparatory studies exist. These paintings marked quite different stages in the Spaniard's career. If the first one symbolized his final acceptance into the French modernist establishment, which is usually known as his Rose Period; the second was meant to be a radical break from those conventions, and a determined push to distance himself from established practices. More specifically, what took place between the two canvases was a transition from a fusion of realism and metaphor/allegory to a neo-primitive (and modern) perspective leading to quasi-abstraction. Not surprisingly, the first painting was auction for a record-breaking price in March of 1914, despite the growing political tensions between the great powers, particularly France and Germany, caused by colonial competition and old territorial grievances. Conversely, the second painting sold for much less in 1923, even though France was experiencing a period of rapid economic growth and social change: the so-called "Roaring 20s."

Secure and Robust Dual Watermarking for Western Blot Images

The rapid growth of digital data sharing has created a pressing need to safeguard the integrity, authenticity, and security of bioanalytical images, such as Western blots, online. To address this challenge, we propose a novel hybrid biometric watermarking technique that combines randomised singular value decomposition (RSVD), discrete wavelet transform (DWT), schur transform, pseudo magic cube, and chaotic encryption, making the watermarking of Western blot images more secure, robust, and imperceptible. Our approach surpasses state-of-the-art methods, ensuring imperceptible watermarking and robust protection against tampering and unauthorised use. By integrating spatial and transform-domain techniques, we achieve superior performance, outperforming existing methods with a peak signal-to-noise ratio (PSNR) of 48.7581, structural similarity index (SSIM) of 0.9998, a normalised correlation (NC) of 0.9996, an average number of changing pixel rate (NPCR) of 0.9961, and an average unified average changing intensity (UACI) of 0.3334. Our technique sets a new standard for digital image protection in scientific research, addressing critical challenges in tampering, copyright protection, and data security. With its high performance and security, our approach enables the trustworthy sharing and publication of Western blot images in the digital era.

Immersion in open-world games based on Grounded theory -- A case study of Genshin Impact

In recent years, with the expansion of the game market and the rapid growth of game users, the game market has great potential. At the same time, open world games are loved by the vast majority of users. [Purpose/Significance] Explore the factors that affect the immersion of players in open world games, drive the improvement of the quality of open world games, help improve the industrial ecology, and achieve richer functional values. [Research design/Methods] Taking the open world adventure role-playing game "Genshin Impact" as a case study, semi-structured interview was used to obtain first-hand interview data, and coded research was conducted using grounded theory. Through several processes such as open coding, spindle coding, selective coding and theoretical saturation testing, the corresponding theoretical model is finally formed. [Conclusion/Finding] The results show that the basic feature of immersion performance is concentration. The two factors, the in-game condition and the out-of-game condition, together constitute the pre-factors that produce immersion. After entering the state of immersion, the main performance is to produce tension and emotional resonance. [Innovation/Value] builds a theoretical model for the generation of immersion in open world games, which lays a theoretical foundation for future theoretical model testing and empirical research.

Effects of Raupya Suvarna Sutashekhara, a herbo-mineral-metallic formulation as adjunct Oral Ayurvedic Medicine on long-term survival in patients of malignant brain tumor

BackgroundThe incidence of brain tumors poses a significant threat, particularly with high-grade tumors that exhibit rapid growth and can significantly impair the patient's quality of life, despite treatment modalities. Ayurveda, a natural system of medicines helps to enhance health benefits when used as a complementary therapy in combination with conventional treatment through various herbal, herbo-mineral or herbo-mineral-metallic formulations. One of such formulations, Raupya Suvarna Sutshekhara (RSS), has Raupya bhasma and Suvarna bhasma (incinerated Silver and Gold respectively) ingredients and they are described as Rasayana (immunomodulatory) and possess Medhya (enhances the brain functions and intelligence) activity. ObjectiveThe study documents effects of Raupya Suvarna Sutshekhara in alleviating symptoms of malignant brain tumors. Materials and methodsThis retrospective cohort study was done for malignant brain tumor patients (n = 110) registered at our centre who were treated with Raupya Suvarna Sutshekhara 125 mg–250 mg (a herbo-mineral metallic formulation) as a treatment of choice of neural tonic along with supporting Ayurvedic medicines. Treatment response evaluation period ranged from 3 months to 5 years (median period 29 weeks). Clinical symptoms, weight, Karnofsky Performance Score (KPS), Quality of Life (QoL) score, and survival data with respect to treatment with RSS were analyzed. ResultsRSS showed a very significant (p < 0.001) effect on symptoms related to memory loss, headache, imbalance, loss of appetite, and generalized weakness while significant (p < 0.05) decrease in urinary incontinence, seizures, difficulty in thinking/articulating, and weakness in one part/side of the body. However, a not-quite significant change was seen in symptom confusion/disorientation. No significant improvement was seen in vision changes, facial numbness or tingling, swallowing difficulties, and tingling in extremities. Body weight and KPS also showed improvement. Patients with treatment between 2 and 5 years showed median survival up to 62 months. ConclusionsIt was observed that adjunct Ayurvedic treatment with RSS helped to reduce the severity of symptoms due to the tumor itself or side-effects of conventional treatments, maintain the quality of life of malignant brain tumor patients and has shown to increase survival with respect to the duration of the treatment.

Promoting coordinated spatial governance of mega-cities in China via spatial organization of metropolitan areas

Super large-sized cities and very large-sized cities (“mega-cities” for short) have become the backbone of China's socio-economic development, but they also face outstanding challenges of "urban diseases" due to their high concentration. In comparison to their foreign counterparts, China's mega-cities possess unique characteristics such as rapid growth, high population density, and large numbers of residents. They naturally have the attributes of metropolitan areas due to an administrative management system of an urban system within city territory. Promoting coordinated spatial governance of mega-cities via spatial organization of metropolitan areas not only helps mega-cities better allocate resources at a larger scope and helps expedite the transformation of development patterns, but is also crucial for better implementing new-type urbanization strategies. In response to the issues in China’s previous research and practices related to mega-cities and metropolitan areas, leveraging the “Critical Technology for Spatial Optimization of Metropolitan Areas of City Clusters” of the national key R&D plan in the “14th Five-year Plan” period, we have employed a scientific approach that combines data and models to propose spatial governance strategies. These strategies encompass both the overall metropolitan area level and the cross-border regional level. Our primary focus lies in optimizing the spatial layout of the “three domains” – ecological space, production space, and living space, facilitating functional dispersal, enhancing spatial patterns, adjusting land use structures and spatial resource allocation, coordinating rail transit and the organization of functions along transit lines, and innovating service management for improvement of administrative efficiency. Through the implementation of these diverse measures, we aim to establish a comprehensive composite collaborative system.

Impact of water vapor on the 2D MoS2 growth in metal-organic chemical vapor deposition

In the presented work, the method of metal–organic chemical vapor deposition (MOCVD) using Mo(CO)6 and H2S assisted by oxidative etching with water vapor, was employed for the synthesis of MoS2. This study was aimed at detailed investigation of the films' properties obtained via this method and identifying methods for elimination of such disadvantages as the carbon impurities and the small size of crystalline domains in the films. It was found that in the temperature range from 850 °C to 950 °C, the effect of water vapor on the morphology of MoS2 is significantly different. The study of the chemical states of molybdenum and sulfur made it possible to associate the size of the crystal domains formed with the efficiency of removing the oxidized states of Mo6+ and S6+. It is assumed that the increase in the domains’ size is due to rapid lateral growth, resulting from the complete removal of the oxidized states at the edges, as well as a decrease in the density of nucleation centers due to the etching of less stable seeds on the substrate surface.

Characteristics of Gut Microbiome in the Murine Model of Pancreatic Cancer with Damp-Heat Syndrome.

Murine models of pancreatic cancer with damp-heat syndrome were established based on two methods to explore the differences in the composition of intestinal flora and to seek characteristic genera with potential for model evaluation. In our study, thirty-four C57BL/6J male mice were randomly divided into a control group (Con), a model group (Mod), a classic damp-heat syndrome group (CDHS), and a climate-chamber group (CC). CDHS and CC groups were fed with a high-fat diet and glucose water, while the CDHS group was given 2.4 g/kg alcohol by gavage for 10 days, and the CC group was placed in a climatic chamber with a set temperature of (32 ± 1) °C and humidity of (92 ± 2)% for 10 days. The Mod group, CDHS group, and CC group underwent tumor-building experiments on day 11. Tumorigenicity was then assessed twice a week. After 4 weeks, feces, colon tissue, and tumor tissue were taken from the mice and were tested, and the mice were euthanized afterwards. Mice in the CDHS and CC groups showed symptoms similar to the clinical damp-heat syndrome observed in traditional Chinese medicine (TCM), and exhibited a worse general condition and more rapid tumor growth trend than those in the Mod group. The pathological examination indicated that inflammation was prevalent in the CDHS and CC groups. Both groups had a disrupted intestinal barrier and an overgrowth of pathogenic bacteria such as c_Gammaproteobacteria, o_Enterobacteriales, and g_Bacteroides. Their microbiota composition showed greater diversity. Intestinal flora may have a promising future in the discovery of indicators for evaluating a model of damp-heat syndrome in pancreatic cancer.

Industrial Policy Environment and Private Equity Placement: Evidence from Chinese Real Estate Firms

Over the past four decades, China’s real estate industry has experienced rapid growth, accompanied by frequent regulatory interventions. These shifts present an ideal context for examining the characteristics of private equity placements (PEPs) under varying industrial policy environments. This study examines the PEPs of Chinese real estate firms from 2006 to 2023, calculating the cumulative abnormal returns during announcement periods and the transaction discounts across various regulatory phases. The analysis reveals significant positive announcement effects, even in times of policy tightening, with these effects becoming more pronounced during periods of policy relaxation. However, regression analyses suggest that the policy environment does not significantly impact the announcement effects. Contrary to traditional views, PEP discounts tend to be shallower during policy tightening and deeper during policy loosening. Further analysis indicates that investors are willing to accept smaller discounts in exchange for more valuable investment opportunities.

Analysis of Transit Oriented Development (TOD) Principles to Support Sustainable Transportation in Urban Areas

Implementing Transit Oriented Development (TOD) areas is an effort to overcome problems in urban areas due to rapid growth over time. These problems cause difficulties in mobility and land use, followed by traffic congestion, increased pollution, and accessibility that is not maximized. Therefore, the implementation of TOD is needed to support more sustainable movement in urban areas, especially in cities that have the potential to implement TOD. This study aims to discover the principles of TOD in a metropolitan area and the development strategies and recommendations that can be made to turn a metropolitan area into a TOD area. The method used in this research is the scoring method based on the TOD principles of ITDP standard 2017 and field observation activities. SWOT analysis was then conducted to determine the development strategy and recommendations that can be made. The research results at the study location still need to be included in the TOD area, where the study only scored 52 points. Efforts that can be made include adding recommendations for walking and cycling infrastructure at the study location so that it scores 66 points, which is included in the bronze category as a TOD area.