bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Feature Extraction Technique for Sentiment Analysis of Product Reviews for Product Development
Authors: Gabriel Oliko  , Titus M. Muhambe  , Calvins Otieno
Published: February 2025

Consumer review sites, social media and micro-blogs carry a wealth of information on the general perspective, experience and feedback that consumers have on products. When there is a high volume of product reviews, it can be challenging to product developers to sift through and make a decision based on consumers’ sentiments. Sentiment Analysis, a branch of Artificial Intelligence, assists in providing data to help businesses understand customers’ desire and track how brands and goods are perceived. When performing Sentiment Analysis, feature extraction, converts raw text input into a machine learning compatible format. A strong feature set is necessary in order to achieve high prediction and object classification accuracy. Identifying an optimal feature set combination is critical for increasing the overall performance of data classification. In this research, we tackle this problem by identifying an optimal feature extraction technique for product review Sentiment Analysis using a feature-level analysis. N-gram, POS and techniques based on the lexicons Stanford CoreNLP, TextBlob, and SentiWordNet in different combinations are examined. Multinomial Naïve Bayes, Lexicon and Multinomial Naïve Bayes + Unsupervised Lexicon ensemble classifiers were modeled for classification of the reviews into positive, neutral and negative classes thereby identifying the optimal feature combination. We explored optimal feature extraction technique based on real product reviews datasets for two products; a car make and model known as “Nissan Sentra” and a mobile phone product known as “Samsung Galaxy A12”. The optimal feature extraction technique for MNB and MNB + Lexicon ensemble classifications was provided by a combination of N-Gram, Part of Speech and TextBlob features while the optimal technique for unsupervised Lexicon was provided by a combination of N-Gram, Part of Speech and VADER.
Advances in Agile Methodologies for Project Management to Boost Efficiency in Energy Sector Operations
Authors: Oluwakemi Famoti  , Rahman Akorede Shittu  , Bamidele Michael Omowole  , Godwin Nzeako  , Ogechukwu Nwanneka Ezechi  , Chikezie Paul-Mikki Ewim  , Hope Ehiaghe Omokhoa
Published: February 2025

The application of Agile methodologies in the energy sector has gained attention as a promising approach to address the persistent challenges of project management, including complexity, cost overruns, and delays. Originally developed for the software industry, Agile practices emphasize flexibility, iterative development, and enhanced collaboration among diverse teams. This paper explores the potential of Agile methodologies to improve project management in energy sector operations, focusing on the benefits, challenges, and frameworks necessary for successful implementation. Through a comprehensive review of the literature and case studies from industries such as construction and manufacturing, the paper highlights the adaptability of Agile practices to energy projects, particularly in areas such as renewable energy, grid modernization, and smart infrastructure. The research identifies key considerations for adopting Agile, such as aligning Scrum, Kanban, or Lean principles with the unique characteristics of energy projects, including their large scale, long timelines, and regulatory complexities. The paper also examines the role of digital tools and emerging technologies, such as artificial intelligence, IoT, and big data, in supporting Agile workflows in energy projects. Furthermore, the study offers practical recommendations for energy organizations, including phased implementation strategies, training, and investment in collaborative tools. The paper concludes by emphasizing the long-term benefits of Agile for improving cost efficiency, project delivery timelines, and stakeholder satisfaction in the energy sector.
Tao Te Ching
Authors: Tsé Lao
Published: February 2025

Es posible documentar en textos chinos cercanos al año 290 a. C. la preocupación por reformar a la sociedad a través de la educación y el desarrollo moral. Es en esa tradición filosófica donde podemos situar a Lao Tsé (uno de los más importantes filósofos de la antigua China) y a su obra conocida como Tao Te Ching. Este tratado abarca desde la espiritualidad individual hasta los preceptos para un buen gobierno, por lo que influyó fuertemente en el pensamiento chino.
Pensamientos
Authors: Pascal Blaise
Published: February 2025

Blaise Pascal mostró desde muy joven una precocidad científica extraordinaria. Inició sus descubrimientos a la temprana edad de 12 años al escribir su Tratado de los sonidos. A los 16 años inventó la máquina aritmética para ayudar a su padre a hacer cálculos. Se acercó muchísimo al cálculo infinitesimal y contribuyó a sentar las bases del cálculo de posibilidades. Intercambió correspondencia con Descartes, Thomas Hobbes y Torricelli. También fue un gran literato: Pensamientos fue calificada por Voltaire como “el primer libro escrito por un genio de la prosa”.
Pengaruh Kompetensi dan Pelatihan Kerja Terhadap Kinerja Pegawai Fungsi Pengujian Laboratorium Kimia di Balai Besar Pengawas Obat dan Makanan Bandung
Authors: Novianingsih Ari , Sarah Siti
Published: February 2025

Kinerja pegawai yang baik merupakan faktor penting dalam mendukung pencapaian tujuan organisasi, khususnya di lingkungan Balai Besar Pengawas Obat dan Makanan (BBPOM) Bandung, yang bertanggung jawab atas pengujian dan pengawasan produk-produk kimia. Namun, tantangan seperti kurangnya kompetensi dan pelatihan yang memadai dapat memengaruhi kualitas kinerja pegawai. Kajian ini bertujuan untuk menganalisis pengaruh kompetensi dan pelatihan kerja terhadap kinerja pegawai pada fungsi pengujian laboratorium kimia di BBPOM Bandung. Metode yang digunakan adalah pendekatan kuantitatif dengan teknik regresi linier berganda. Hasil kajian menunjukkan bahwa kompetensi, yang mencakup pengetahuan, keahlian, dan sikap, serta pelatihan kerja, yang meliputi instruksi, materi, dan tujuan pelatihan, secara signifikan memengaruhi kinerja pegawai baik secara parsial maupun simultan. Uji F mengindikasikan bahwa kompetensi dan pelatihan kerja memberikan kontribusi sebesar 61% terhadap kinerja pegawai, dengan sisanya 39% dipengaruhi oleh faktor lain. Kajian ini menekankan pentingnya peningkatan kompetensi melalui program berkelanjutan dan optimalisasi pelatihan kerja untuk mendukung kinerja pegawai yang lebih efektif, efisien, dan berkualitas, sehingga dapat memenuhi standar yang diharapkan. Hasil ini relevan untuk digunakan sebagai bahan evaluasi dalam pengelolaan sumber daya manusia di BBPOM Bandung.
Pengaruh Kualitas Produk dan Harga Terhadap Keputusan Pembelian Indomie Mahasiswa Universitas Bandar Lampung
Authors: Joyo Arya Auralio , Soedarsa Herry Goenawan
Published: February 2025

Penelitian ini bertujuan untuk mengetahui pengaruh antara Kualitas Produk dan Harga Terhadap Keputusan Pembelian Indomie Mahasiswa Universitas Bandar Lampung. Penelitian ini menggunakan pendekatan kuantitatif dengan alat analisis SPSS. Uji kualitas data yang digunakan yaitu uji validitas dan uji reliabilitas, selanjutnya dilakukan uji asumsi klasik yaitu uji normalitas, uji multikolinearitas, dan uji heteroskedastisitas. Kemudian, pengujian hipotesis yang dilakukan yaitu uji t, selanjutnya dilakukan uji koefisien determinasi. Sampel dalam penelitian ini yaitu 97 responden. Teknik sampel yang digunakan menggunakan rumus slovin. Berdasarkan hasil penelitian dapat diketahui bahwa variabel Kualitas Produk dan Harga positif dan signifikan terhadap Keputusan Pembelian Indomie Mahasiswa Universitas Bandar Lampung. Berdasarkan hasil penelitian ini, perusahaan indomie disarankan untuk selalu meningkatkan inovasi untuk dapat menciptakan rasa baru dalam varian rasa indomie agar masyarakat memiliki banyak pilihan untuk dapat menikmati indomie, selalu dapat mempertimbangkan harga yang akan diberikan untuk penjualan namun tetap menjaga kualitas rasa maupun kemasan agar konsumen tidak memilih merk lain.
Harnessing meta-analyses’ insights in ecology and evolution research
Authors: Pollo Pietro , Martinig April , Mizuno Ayumi , Morrison Kyle , Pottier Patrice , Ricolfi Lorenzo , Tam Jess , Williams Coralie , Yang Yefeng , Drobniak Szymon , Lagisz Malgorzata , Nakagawa Shinichi
Published: February 2025

Meta-analyses are powerful tools to synthesise the literature in several fields of study, including ecology and evolution. However, it remains uncertain whether ecologists and evolutionary biologists fully comprehend meta-analyses’ findings or effectively apply them when citing these studies in their own research. Here, we first discuss key meta-analytical concepts and provide a guide to researchers in ecology and evolution on how to harness meta-analyses’ insights. For instance, we clarify the meaning of effect sizes and heterogeneity to improve understanding of meta-analyses’ quantitative findings. In addition, we analysed articles published in 2023 in ecology and evolution to investigate how frequently and in what context meta-analyses were cited. We found that approximately 21% of articles cited at least one meta-analysis, and that the relative number of citations of meta-analyses (0.04% of all citations analysed) was similar to the publication frequency of meta-analytical articles (0.06% of all articles). Most importantly, we found that while the direction of mean effect sizes from cited meta-analyses was often mentioned, the magnitude of effect sizes and the limitations of the data analysed were frequently overlooked. These findings underscore the need for improved citation practices of meta-analyses in ecological and evolutionary research, which our recommendations seek to promote.
The Function and Historical Significance of the Gaeseong Branch Office of the Monopoly Bureau in the 1910s
Authors:   Korea Association of World History and Culture, Lee Chul-Sung
Published: February 2025

The Gaeseong Branch Office of the Monopoly Bureau during the Japanese colonial period in Korea was a practical department responsible for the ginseng business. Its function was to stabilize the supply of fresh ginseng, the raw material for red ginseng, by controlling the cultivation area of ginseng. Additionally, it aimed to maximize monopoly profits by predicting the demand from China, producing red ginseng, and selling it at high prices. For this purpose, investment in facilities and equipment for core tasks was inevitable.
In 1909, the Gaeseong Branch Office was newly constructed, and expansion and reinforcement of facilities continued until 1914. Mechanical steam equipment were introduced in storage rooms, washing rooms, and drying rooms for red ginseng production, and generators were installed for night work.
One of the outcomes of the new construction, expansion, and equipment investment of the Gaeseong Branch Office was the reduction of labor costs in red ginseng production. However, the Japanese colonial government implemented a paradoxical policy of controlling the production volume of red ginseng according to overseas demand. This was to use the profits from the red ginseng monopoly as a means to expand the regular income of the special account of the Governor-General of Korea. This is an empirical example of exploitation through Japanese investment. The red ginseng monopoly was an empirical example of Japanese colonial authorities exploitation through investment.
Silver-Copper Coin Currency Ratio and Price Fluctuations in the Early and Mid-Qing Dynasty : Focusing on the Qianlong Period
Authors:   Korea Association of World History and Culture, Kim Ho-Jin
Published: February 2025

The influx of foreign silver during the early and mid-Qing period directly influenced the development of commodity economics and economic fluctuations. Furthermore, the fact that foreign silver directly circulated in China’s inland regions and that Chinese foreign trade merchants established exchange rates between foreign silver and Chinese Wen silver signified that China was deeply integrated into the global silver-based monetary circulation network of that time.
The purpose of large-scale currency minting during the Qianlong period was clear. It aimed to promote people’s livelihood stability by increasing the supply of currency notes based on the massive foreign silver obtained from international trade, thereby maintaining the balance between silver and copper coins and ensuring the smooth operation of the silver-copper coin dual system.
The inflation caused by foreign silver influx during the Qianlong period is the most significant characteristic of early and mid-Qing economic history. It is particularly meaningful because it demonstrates a novel socio-economic landscape rarely found in other traditional societies.
Mediators and Enablers: The Impact of Phoenicians in Andalusia, Sicily, and Jerusalem
Authors:   Korea Association of World History and Culture, Sebastian Müller Sebastian Müller
Published: February 2025

The beginning of the Iron Age in the Mediterranean in the first half of the first millennium BCE is a transition period in many ways. Among others, Phoenician seafarers started their explorations and built a network of trade and communication across the entire Mediterranean Sea and beyond. The present article reviews and discusses the presence of Phoenician people and their impact on the local communities in three different Mediterranean places during the Iron Age, namely the city of Jerusalem in the east, the island of Sicily in the center and the region of Andalusia in the west of the Mediterranean.
All three places experienced a cultural and developmental upsurge in the Iron Age, but the involvement of the Phoenicians in these processes was very different. While Jerusalem and Andalusia benefited from two main competencies of the Phoenician people, their craftsmanship and trade abilities, Sicilian communities were largely unaffected by the Phoenician presence on the island. It is argued that this is a direct reflection of the commercial interests of the Phoenicians in these places. Furthermore it becomes obvious that the Phoenicians were not only mediators that connected different parts of the Mediterranean through their extensive network, they also enabled local elites through the provision of foreign and exotic goods to justify and stabilize their authority. This led to the development of complexer political entities and the establishment of a large communication network across the Mediterranean and beyond.
Formation of the Mechanism of Communication Management
Authors:   International European University, Myruta Nataliia M. , Zhovnir Volodymyr A. ,   NCCH Ohmatdyt
Published: February 2025

The article defines the concept of «mechanism of communication management» and considers the approach to its formation. It is found that its formation is influenced by the type of leader, the corporate culture present in the organization and, therefore, the management style and form of management of the organization and communications. On the basis of the studies, the authors propose a scheme of the sequence of formation of the mechanism of communication management depending on the form of management: centralized or decentralized. The proposed scheme contains stages common to both forms of communication management, such as: defining the mission and strategic and operational goals of the organization, defining the objective of communication management, defining the functions of communication management, determining the composition of the subject of management – the necessary divisions to achieve the goal of communication management, empowering them, establishing a hierarchy between divisions, determining the form of communication management, as well as the stages of forming a communication management mechanism in various forms: in the centralized form – distribution of responsibility for the implementation of functions between divisions, establishing responsibilities and relationships between divisions, stimulating the staff; in the decentralized form – delegation of authority by the subject to the object of communication management, distribution of roles in the team-object of communication management, stimulation of staff, regulation of communication processes. In accordance with the forms of management, methodological support for the formation of the management mechanism is developed. It is proved that the mechanism of communication management in both centralized and decentralized forms differs in the following characteristics: conditions for the development and implementation of a managerial decision, principles of building a communication management mechanism, methods of staff management, indicators of staff stimulation, elements of the communication process, including the content of the message, senders of the message, receivers of the message, communication channels and means of information transmission. The direction of further research will be the formation of a mechanism for managing communications in health care institutions.
Integration of Large and Small Enterprises in Machine Building: The Theoretical and Methodological Aspects
Authors:   National Aerospace University «Kharkiv Aviation Institue» named after M. Ye. Zhukovskiy, Stepanenko Ivan M. , Lyba Vasyl O. ,   National Aerospace University «Kharkiv Aviation Institue» named after M. Ye. Zhukovskiy
Published: February 2025

The aim of this article is to consider and analyze the theoretical and methodological aspects of the integration of large and small enterprises in machine building. The study aims to examine the basic conceptions, models and strategies of integration, as well as to identify success factors and recommendations for improving this process. The article also aims to support practical activities in the field of machine building, providing businesses and managers with the tools and knowledge to efficiently integrate different scales of enterprises. The carried out study can contribute to academic research and deepen understanding of integration processes in the context of machine building. In general, the aim of the article is to highlight and analyze the key aspects of the integration of large and small enterprises in machine building in order to contribute to the development of this industry and increase the competitiveness of national and international markets. The aim of this article is not only a theoretical analysis of the conceptions and strategies for the integration of large and small enterprises in machine building, but also the practical use of this knowledge to support the development of enterprises in this field. The article aims to study and systematize scientific data in order to provide a clear picture of integration mechanisms and their impact on market dynamics. In addition, the aim is also to identify potential obstacles and success factors in the integration process and develop recommendations directed towards increasing the efficiency of this process. This article can serve as a source of information for managers, entrepreneurs, researchers and government agencies interested in the issues of efficient organization and management in the field of machine building, also to reflect the theoretical aspects of the integration of large and small enterprises in machine building in order to increase their competitiveness and sustainability in the market.
Assessment of the Efficiency of the Bank’s Lending Policy
Authors:   Ivan Franko National University of Lviv, Kruhliakova Vira V. , Prokopchuk Sofiia V. ,   Ivan Franko National University of Lviv
Published: February 2025

The lending policy of a commercial bank is a key element of its strategic management, which determines the principles of granting loans, risk assessment and setting interest rates. In a dynamic financial environment, banks are forced to adapt their strategies to ensure stability and competitiveness, taking into account economic conditions, regulatory requirements and technological innovations. This requires constant monitoring of market changes and the introduction of innovative approaches to minimize risks and increase the efficiency of lending activities. The article is aimed at assessing the efficiency of the lending policy of a banking institution in a dynamic economic environment and determining the main directions of its improvement to ensure the stability of the banking system, reduce lending risks and support economic growth. The article substantiates the need to form an effective lending policy of the bank in the conditions of modern economic instability, which is an important factor for ensuring the stability and efficiency of the bank. The lending policy of JSC «BANK UKRAINIAN CAPITAL» has been analyzed, namely the volume of loans granted and their structure, no less important is the analysis of reserves created for possible lending losses, the share of loans in the bank’s assets has been calculated, which made it possible to assess the level of risk and stability of the financial institution. The article analyzes the efficiency of the lending policy, specially: the main indicators of profitability and risk of the bank’s loan portfolio are calculated, which allow to carry out a detailed analysis of the efficiency of lending and identify potential risks that may negatively affect the financial stability of the bank. On the basis of the carried out analysis, recommendations for improving the lending policy of JSC «BANK UKRAINIAN CAPITAL» are formulated, aimed at reducing risks, improving the quality of the loan portfolio and ensuring sustainable economic development of the bank in an unstable market.
Exploring the Synergy of Cloud and On-Premises Systems- A Case for Hybrid Architectures
Authors: Ashwin Chavan
Published: February 2025

This article discusses cloud, on-premises, and hybrid architectures and their relevance to current IT structures. With the increase in digital transformation, organizations must assess these models on cost, scalability, security, compliance, and business requirements. Cloud computing provides flexibility, extendibility, and cost efficiencies, especially to companies with fluctuating responsibilities. However, it brings problems like security risk and unpredicted costs. While offering configuration benefits in terms of security and compliance in industries that require compliance, on-premises architectures entail high initial costs and are not very scalable. The blended model leverages cloud and traditional solution strategies for business continuity with additional security and compliance for specific data sets. At the same time, this paper considers cost-benefit analysis, security, and disaster recovery solutions as the main objectives, defining how these architectures are used in practice, illustrated by examples from the financial, healthcare, and e-commerce sectors. In addition, it explores performance improvement methods, resource utilization, and practical IT budgeting approaches that enhance the efficiency of the selected model. This paper intends to help IT practitioners and decision-makers choose wisely the best IT architecture to adopt. In analyzing the relationship between cloud, on-premises, and hybrid configurations in IT, this paper demonstrates how these constructs are important strategic assets in developing flexible, robust, and cost-effective solutions that span the present business landscape.
David Wills and the Tropological Machinery of Life
Authors: Kuiken Kir
Published: February 2025

This essay argues that David Wills’s work re-articulates the relation between technology and language by treating language as a form of mechanicity engendered by tropological substitution. This tropological machinery, Wills suggests, operates automatically while producing and subtending supposedly ‘natural’ phenomena. The essay traces this argument through Wills’s early work up to his book Inanimation, arguing that these tropological dimensions of language become an increasingly important part of his account of how technology operates reflexively. The essay closes with an argument for how tropological language is a central figure for what Wills calls ‘inanimation’, the constantly displaced border between life and its others—death and the inanimate. It concludes that Wills’s conception of the relation between language and technology produces a unique ‘zone of indistinction’ between the animate and the inanimate, a form of ‘life’ that is no longer purely biological.
Etymologier som grund för begreppsundervisning i anatomi, fysiologi och fysik
Authors: Eriksson Anders
Published: February 2025

Att lära sig många nya begrepp kan vara utmanande för elever. En möjlighet att stödja detta lärande är att utnyttja ordens etymologier, det vill säga deras ursprung och betydelse, för att göra begrepp mer meningsfulla för elever. I denna artikel delar jag mina erfarenheter av att undervisa om begrepp som är relevanta för gymnasiekurserna ”Anatomi och fysiologi” och ”Fysik 2”. Därefter visar jag hur jag utifrån forskning och mina erfarenheter har planerat en mer systematisk undervisning som fokuserar på begreppens etymologier. Undervisningsupplägget som jag presenterar kan vara direkt användbart för lärare, men det kan också inspirera till att utveckla etymologibaserad undervisning inom andra områden.
Gingival fibroblast suppress the osteogenesis process mediated by bone substitute materials via WNT/β-catenin signaling pathway in vitro and in vivo
Authors: Liu Guanqi , Lin Jiahui , Chen Xiaoyan , Liu Runheng
Published: February 2025

Background

The regeneration of bone tissue is a critical challenge in oral and maxillofacial surgery, with the success of such procedures often depending on the ability to promote osteogenesis while managing the soft tissue environment. The role of gingival fibroblasts in modulating the osteogenic potential of mandible mesenchymal stem cells (MMSCs) mediated by bone substitute materials (BSMs) is not fully understood. This study aimed to investigate the impact of gingival fibroblasts on the osteogenic differentiation of MSCs in the presence of BSMs and to elucidate the underlying mechanisms, focusing on the WNT/β-catenin signaling pathway.

Methods

Gingival fibroblasts and BSMs co-culture conditioned medium was used to culture MMSCs, and the expression and activity of alkaline phosphatase (ALP), as well as osteogenic and fibrogenic gene and protein expression, were evaluated. Additionally, the expression of key factors of WNT/β-catenin signaling pathway were investigated. In vivo animal experiments were conducted to assess the effect of gingival fibroblasts on BSM-mediated bone regeneration.

Results

Gingival fibroblasts and BSMs co-culture environment did not affect MMSCs proliferation but significantly inhibited ALP expression and activity, as well as osteogenic gene and protein expression, while promoting expression of fibrogenic markers. This suppression was associated with the downregulation of key factors in the WNT/β-catenin signaling pathway. In vivo, increased suppression of bone defect repair was observed with higher amounts of gingival fibroblasts, confirming the in vitro findings.

Conclusion

Our study demonstrates that gingival fibroblasts can suppress the osteogenic potential of BSMs by inhibiting the autocrine WNT expression and the activation of the WNT/β-catenin signaling pathway in MMSCs. These findings highlight the importance of considering the cellular microenvironment in tissue engineering and regenerative medicine and suggest potential targets for modulating MMSCs behavior to enhance bone regeneration.
The regulatory role of placental extracellular vesicle on trophoblast and endothelial cell functions
Authors: Bai Kunfeng , Li Xintong , Guo Yanjie , Shang Ye , Lin Leqian , Chiu Philip C. N. , Lee Cheuk-Lun
Published: February 2025

Extracellular vesicles (EVs) are cell-derived, membrane-bound vesicles that carry molecular cargo to facilitate communication between cells. During pregnancy, EVs are secreted by the syncytiotrophoblast layer of the placenta villi, where they mediate the functions of resident leukocytes and invading extravillous trophoblasts (EVTs) in the decidua. This study aims to isolate placental EVs (pEVs) from placental explant to examine their regulatory roles on EVT and endothelial cell functions. pEVs were successfully isolated from ex vivo cultured placental explant, which were capable to be internalized by EVTs and endothelial cells. pEVs stimulated the differentiation of trophoblast stem cells (TSCs) and enhanced the migration and invasion abilities of EVTs via CD147 receptor. Conversely, pEVs inhibited the tube formation ability and interleukin-6 (IL-6) secretion of endothelial cells. Together, these findings partially elucidate the role of pEVs during early pregnancy establishment, which may provide insights into pregnancy-related disorders.
Trend analysis of precipitation and temperature in Lahaul-Spiti district, Himachal Pradesh, India
Authors: Kumar Pankaj , Deka Dhanjit , Husain Md. Arif , Kumar Manish , Choudhari Pandurang , Singh Shipra , Kamil Azka , Banerjee Abhishek
Published: February 2025

Lahaul-Spiti district is a cold desert mountain, situated in the Trans-Himalayan region. The district has the lowest population density of 2 persons/km2 because of the harsh climate and rough topography that act as barriers to population growth. Specific knowledge of climate variability in the region is limited. Hence, it is essential to study the trends of temperature and precipitation for the region and also its effects on sustainable development. The objective of this study is to investigate the variability of rainfall and temperature on a monthly, seasonal, and annual basis from 1981 to 2021. Precipitation and temperature data on a monthly, seasonal, and annual basis were acquired from the National Aeronautics and Space Administration (NASA) Langley Research Center’s POWER Project. The trends of precipitation and temperature were derived using the Mann–Kendall trend test and the slope of the regression line using Sen’s slope test. Subsequently, the maximum, minimum, mean, standard deviation (SD), and coefficient of variation (CV) of precipitation and temperature were computed to analyze the range of variation in them. The results showed a significant increasing trend in the monthly temperature of October (p-value 0.011) and December (p-value 0.05), which is below the alpha value 0.05. Similarly, an increasing trend in annual (p-value 0.000), seasonal (winter p-value 0.008 and summer p-value 0.003), and monthly (January p-value 0.030, April p-value 0.032, June p-value 0.004, July p-value 0.027, and August p-value 0.002) precipitation was observed as computed p-values are less than the significance level of alpha = 0.05. This glaciated region is most vulnerable to climate change because it is already a scarce region in the context of natural resources. Changes in the pattern of precipitation and temperature affect the socioeconomic structure of the region, affecting sectors such as agriculture, livestock, forestry, tourism, and human health. According to the perceptions of people, the temperature rise has accelerated the melting of glaciers and reduced the snow cover area. The increase in rainfall can lead to a higher incidence of mudflows, landslides, floods, and other related events, as the region is made up of sedimentary rocks. Thus, it is crucial to continuously monitor the trends in temperature and precipitation.
MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention
Authors: Triyono Liliek , Gernowo Rahmat , Prayitno
Published: February 2025

Aruco markers are crucial for navigation in complex indoor environments, especially for those with visual impairments. Traditional CNNs handle image segmentation well, but transformers excel at capturing long-range dependencies, essential for machine vision tasks. Our study introduces MoNetViT (Mini-MobileNet MobileViT), a lightweight model combining CNNs and MobileViT in a dual-path encoder to optimize global and spatial image details. This design reduces complexity and boosts segmentation performance. The addition of a multi-query attention (MQA) module enhances multi-scale feature integration, allowing end-to-end learning guided by ground truth. Experiments show MoNetViT outperforms other semantic segmentation algorithms in efficiency and effectiveness, particularly in detecting Aruco markers, making it a promising tool to improve navigation aids for the visually impaired.
Risk factors analysis and prediction model establishment of acute kidney injury after heart valve replacement in patients with normal renal function
Authors: Huang Xiaofan , Sun Xiangyu , Song Jiangang , Wang Yongqiang , Liu Jindong , Zhang Yu
Published: February 2025

Background

The study aimed to develop a risk prediction model through screening preoperative risk factors for acute kidney injury (AKI) after heart valve replacement in patients with normal renal function.

Methods

A total of 608 patients with normal renal function who underwent heart valve replacement from November 2013 to June 2022 were analyzed retrospectively. The Lasso regression was used to preliminarily screen potential risk factors, which were entered into the multivariable logistic regression analysis to identify preoperative independent risk factors for postoperative AKI. Based on the results, a risk prediction model was developed, and traditional and dynamic nomograms were constructed. The risk prediction model was evaluated using receiver operating characteristic (ROC), calibration curve, and decision curve analysis (DCA).

Results

220 patients (36.2%) developed AKI after surgery. Current smoker, hypertension, heart failure, previous myocardial infarction, cerebrovascular disease, CysC, and NT-proBNP were selected as independent risk factors for AKI. A risk prediction model, a traditional and a dynamic nomogram were developed based on the above factors. The area under the curve (AUC) of the ROC for predicting the risk of postoperative AKI was 0.803 (95% CI 0.769–0.836), with sensitivity and specificity of 84.9% and 63.4%, respectively. The calibration curve slope was close to 1, and the DCA showed that the model produced better clinical benefits when the probability threshold was set at 10%–82%.

Conclusions

We developed a preoperative risk prediction model for AKI after heart valve replacement in patients with normal renal function, which demonstrated satisfactory discrimination and calibration.
Apical periodontitis in inflammatory bowel disease: a meta-analysis at patient and tooth level
Authors: La Rosa Giusy Rita Maria , Lorenzo-Pouso Alejandro Ismael , Caponio Vito Carlo Alberto , Puci Mariangela Valentina
Published: February 2025

Apical periodontitis (AP) is the local inflammation of periapical tissues originating from the dental pulp disease. Cumulative evidence suggests a link between oral and gastro-intestinal systems in both health and disease. In this context, the relationship between AP and inflammatory bowel diseases (IBDs) has not yet been elucidated. The aims of this systematic review and meta-analysis were to describe the prevalence of AP in patients with IBDs and evaluate the potential association between AP and IBDs. Electronic (Embase, PubMed, Scopus, Web of Science) and manual literature searches were conducted from inception to 31 October, 2023 (updated in August, 2024). Strict inclusion criteria were applied to identify observational and experimental clinical studies on AP in IBDs patients. The bias risk was assessed using the Joanna Briggs Institute critical appraisal tools and a biases' report selected from the Oxford Centre for Evidence Based Medicine Catalogue of Bias. A meta-analysis was performed to determine the pooled prevalence and risk of AP at individual and tooth level and the quality of evidence was assessed by the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. The search strategy identified 82 articles with 5 studies included (657 subjects, 7,142 teeth). The overall proportion of AP was 58% at patient level (95% CI = 37%–78%, I2 = 95.3%) and 7% at tooth level (95% CI = 2%–15%; I2 = 99.2%). AP was prevalent in IBDs subjects than in healthy controls, both at patient and tooth level. The pooled OR was 1.57 (95% CI = 1.04–2.35; P = 0.038; I2 = 20%) at patient level, and 1.91 (95% CI = 1.16–3.15; P = 0.011; I2 = 82%) at tooth level. A potential association between AP and IBDs is plausible, although the quality evidence was low to very low. Longitudinal and experimental studies should be conducted to better understand the relationship between these two conditions and explore any potential causative factors.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=411038, PROSPERO (CRD42023411038).
Reevaluating the necessity of static shift correction in magnetotelluric inversion
Authors: Zeng Jingzhong , Chen Xiaobin , Wang Peijie , Liu Zhongyin , Cai Juntao
Published: February 2025

Magnetotelluric (MT) is a significant electromagnetic exploration method. However, due to uneven distribution of surface charges and other factors, static shift often affects observed data, reducing the accuracy of inversion and interpretation. Correcting static shift through data processing remains a challenging task. Based on the characteristic that static shift affects only apparent resistivity data without impacting phase data, this paper proposes an inversion strategy that avoids static shift correction. At sites affected by static shift, apparent resistivity data are excluded, and only phase data are used in the inversion. Synthetic and field data tests indicate that the reduced inclusion of apparent resistivity data has minimal impact on inversion results, and due to the exclusion of data influenced by static shift, the inversion accurately reflects deep anomalous structures. This demonstrates that by excluding apparent resistivity data and relying solely on phase data at static-shifted sites, accurate inversion results can be achieved without additional static shift correction.
Spatiotemporal distribution of rural multifunctionality and its influencing factors: a case study of the Liaoning Coastal Economic Belt, China
Authors: Chen Yu , Wang Jun
Published: February 2025

Rural multifunctionality (RMF) is a critical component of urban–rural overall planning and sustainable development. In China, rural areas have special functions that cannot be replaced by cities, such as residential carrying, agricultural and non-agricultural production, and ecological conservation. However, few studies have determined the direction of rural development and realized rural regional value from the RMF perspective. In this study, 30 counties in the Liaoning Coastal Economic Zone were taken as the research area, and the years 2000, 2013, and 2023 were selected as the research time nodes. This study constructed the RMF index from the living function, production function, and ecological function and systematically analyzed and depicted the spatiotemporal distribution process of rural functions using trend surface analysis and exploratory spatial data analysis. A geographical detector model was employed to further analyze the influencing factors. The results are as follows: (1) Rural regional agglomeration had obvious characteristics that are undergoing a key transformation from slow to radical. In the spatial dimension, it shows the tendency of high coupling multi-core agglomeration and low coupling dispersion. (2) The degree of coupling coordination indicated a shift from reluctant coordination to good coordination, and the gap across counties was narrowing. (3) The dominating determinants had shifted away from natural resources toward socioeconomic and policy environment factors. This will provide an effective reference for investigating the diversification of rural regional space in Liaoning Province, directing the rational use of rural land and accomplishing coordinated development of rural space.
Engineering tomato disease resistance by manipulating susceptibility genes
Authors: Wang Duoduo , Mandal Palash , Rahman Md Sazan , Yang Lirong
Published: February 2025

Various pathogens severely threaten tomato yield and quality. Advances in understanding plant-pathogen interactions have revealed the intricate roles of resistance (R) and susceptibility (S) genes in determining plant immunity. While R genes provide targeted pathogen resistance, they are often vulnerable to pathogen evolution. Conversely, S genes offer a promising avenue for developing broad-spectrum and durable resistance through targeted gene editing. Recent breakthroughs in CRISPR/Cas-based technologies have revolutionized the manipulation of plant genomes, enabling precise modification of S genes to enhance disease resistance in tomato without compromising growth or quality. However, the utilization of the full potential of this technique is challenging due to the complex plant-pathogen interactions and current technological limitations. This review highlights key advances in using gene editing tools to dissect and engineer tomato S genes for improved immunity. We discuss how S genes influence pathogen entry, immune suppression, and nutrient acquisition, and how their targeted editing has conferred resistance to bacterial, fungal, and viral pathogens. Furthermore, we address the challenges associated with growth-defense trade-offs and propose strategies, such as hormonal pathway modulation and precise regulatory edits, to overcome these limitations. This review underscores the potential of CRISPR-based approaches to transform tomato breeding, paving the way for sustainable production of disease-resistant cultivars amidst escalating global food security challenges.
A prognostic signature of Glutathione metabolism-associated long non-coding RNAs for lung adenocarcinoma with immune microenvironment insights
Authors: Hu Junxi , Tian Shuyu , Liu Qingwen , Hou Jiaqi , wu Jun , Wang Xiaolin , Shu Yusheng
Published: February 2025

Background

Glutathione (GSH) metabolism supports tumor redox balance and drug resistance, while long non-coding RNAs (lncRNAs) influence lung adenocarcinoma (LUAD) progression. This study developed a prognostic model using GSH-related lncRNAs to predict LUAD outcomes and assess tumor immunity.

Methods

This study analyzed survival data from The Cancer Genome Atlas (TCGA) and identified GSH metabolism-related lncRNAs using Pearson correlation. A prognostic model was built with Cox and Least Absolute Shrinkage and Selection Operator (LASSO) methods and validated by Kaplan-Meier analysis, Receiver Operating Characteristic (ROC) curves, and Principal Component Analysis (PCA). Functional analysis revealed immune infiltration and drug sensitivity differences. Quantitative PCR and experimental studies confirmed the role of lnc-AL162632.3 in LUAD.

Results

Our model included a total of nine lncRNAs, namely AL162632.3, AL360270.1, LINC00707, DEPDC1-AS1, GSEC, LINC01711, AL078590.2, AC026355.2, and AL096701.4. The model effectively forecasted patient survival, and the nomogram, incorporating additional clinical risk factors, satisfied clinical needs adequately. Patient stratification based on model scores revealed significant disparities in immune cell composition, functionality, and mutations between groups. Additionally, variations were noted in the IC50 values for key lung cancer medications such as Cisplatin, Docetaxel, and Paclitaxel. In vitro cell experiment results showed that AL162632.3 was markedly upregulated, while AC026355.2 tended to be downregulated across these cell lines. Ultimately, suppressing lnc-AL162632.3 markedly reduced the growth, mobility, and invasiveness of lung cancer cells.

Conclusion

This study identified GSH metabolism-related lncRNAs as key prognostic factors in LUAD and developed a model for risk stratification. High-risk patients showed increased tumor mutation burden (TMB) and stemness, emphasizing the potential of personalized immunotherapy to improve survival outcomes.
Implications of intratumoral microbiota in tumor metastasis: a special perspective of microorganisms in tumorigenesis and clinical therapeutics
Authors: Zhang Lei , Duan Xichu , Zhao Yanhua , Zhang Dejiu , Zhang Yuan
Published: February 2025

Tumor metastasis is the main cause of therapeutic failure and mortality in cancer patients. The intricate metastastic process is influenced by both the intrinsic properties of tumor cells and extrinsic factors, such as microorganisms. Notably, some microbiota have been discovered to colonize tumor tissues, collectively known as intratumoral microbiota. Intratumoral microbiota can modulate tumor progression through multiple mechanisms, including regulating immune responses, inducing genomic instability and gene mutations, altering metabolic pathways, controlling epigenetic pathways, and disrupting cancer-related signaling pathways. Furthermore, intratumoral microbiota have been shown to directly impact tumor metastasis by regulating cell adhesion, stem cell plasticity and stemness, mechanical stresses and the epithelial-mesenchymal transition. Indirectly, they may affect tumor metastasis by modulating the host immune system and the tumor microenvironment. These recent findings have reshaped our understanding of the relationship between microorganims and the metastatic process. In this review, we comprehensively summarize the existing knowledge on tumor metastasis and elaborate on the properties, origins and carcinogenic mechanisms of intratumoral microbiota. Moreover, we explore the roles of intratumoral microbiota in tumor metastasis and discuss their clinical implications. Ongoing research in this field will establish a solid foundation for novel therapeutic strategies and clinical treatments for various tumors.
Beyond the dichotomy: understanding the overlap between atopic dermatitis and psoriasis
Authors: Li Mengmeng , Wang Jiangyi , Liu Qingfeng , Liu Youqing , Mi Wenyao , Li Wei , Li Jingyi
Published: February 2025

Atopic dermatitis and psoriasis have traditionally been considered distinct inflammatory skin diseases with unique pathogenic mechanisms. However, accumulating evidence suggests significant overlap in their immunological pathways, metabolic features, and microbiome characteristics, challenging this conventional dichotomy. This review comprehensively examines the complex relationship between psoriasis and atopic dermatitis, with particular emphasis on their shared and distinct pathogenic mechanisms. We analyze the immunological networks, metabolic pathways, and microbial factors contributing to their development and progression. The review expands upon the disease spectrum hypothesis and discusses the nomenclature for conditions exhibiting features of both diseases. We critically evaluate the clinical and histopathological characteristics of concomitant psoriasis and atopic dermatitis, highlighting recent advances in molecular diagnostics for accurate disease differentiation. Importantly, we propose standardized diagnostic criteria for psoriasis dermatitis and examine current therapeutic strategies for managing overlapping conditions. Recent developments in targeted therapies and their implications for treatment selection are thoroughly discussed. By synthesizing current evidence and identifying knowledge gaps, this review provides insights into the complex interplay between psoriasis and atopic dermatitis, aiming to guide clinical decision-making and future research directions in this evolving field.