bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring Competitive Interactions: A Comparative Species Association and Ecological Niche Study of Bactrocera cucurbitae and Bactrocera tau (Diptera: Tephritidae)1
Authors: Geng Xingyu , Liu Xin , Xiao Lu , Yan Rihui , Lin Xianwu , Fu Yu , Fu Ying , Lu Xianli , Wen Jian , Cao Fengqin 
Published: December 2024

Abstract
Bactrocera cucurbitae (Coquillett) and Bactrocera tau (Walker) (Diptera: Tephritidae) are two invasive pests that pose a great threat to melon and fruit crops in tropical and subtropical regions. Previous studies have indicated that there may be a competitive relationship between these two pests because they have similar morphologies and a tendency to damage the same range of hosts. However, no studies have yet confirmed this competitive relationship, which is crucial for predicting the tephritid community structure and population dynamics, as well as for designing management strategies for these pests. In this study, we combined field investigations, literature reviews, and host preference tests to analyze the species association, niche width, and overlap of the two fruit flies to confirm their competitive relationship. We found that B. cucurbitae was more abundant in the wild than B. tau, and there was a negative correlation between them regardless of habitat types. The niche widths of B. cucurbitae and B. tau were 7.50 and 7.42, respectively, and the niche overlap was 0.87 when we analyzed the data from the selected literature. Similarly, the niche widths were 4.95 and 4.44, with a niche overlap of 0.95 when we analyzed data from host preference tests. These results indicate that the two fruit flies co-occur and have a competitive relationship due to their similar niche widths and high niche overlap. The findings offer insights into predicting the field population dynamics and structures of these pests, important for pest monitoring and management.
Um salto para o passado
Authors: Vieri Piacezzi Lêni Helen , Freire de Paula Enio 
Published: December 2024

Esse artigo integra as ações de pesquisa realizada no Programa de Mestrado Profissional em Ensino de Ciências e Matemática do IFSP, e busca compreender os contextos em que as políticas reformadoras se inserem para tentar desvendar possíveis intencionalidades que as reformas buscam atender, para além daquilo que efetivamente anunciam. As reflexões expressas neste artigo pretende lançar luzes sobre como o discurso ideológico neoliberal se apresenta no Relatório para a Organização das Nações Unidas para a Educação, a Ciência e a Cultura (UNESCO) intitulado “Educação, um tesouro a descobrir”, mais conhecido como “Relatório Delors”. O texto publicado em 1996 torna-se emblemático pois apresenta os Quatro Pilares da Educação e subsidia uma compreensão de homem, democracia e cidadania coerentes com o discurso hegemônico das forças do capital, e oferece suporte teórico e ideológico para as políticas públicas brasileiras dos ano 1990 e mais recentemente para os políticas reformistas dos anos pós-golpe de 2016. Entre as discussões apresentamos: (i) a historicidade deste documento, compreendido como um dos ideários da Base Nacional Comum Curricular, (ii) o movimento de ressemantização de conceitos e (iii) a construção de um consenso de intencionalidades educacionais alinhadas a ideias neoliberais.
Reduction and Fixation of an Unstable Knee Dislocation in a Morbidly Obese Patient Using an Internal Fixator
Authors: Da Lomba Tony , Portney Daniel , Erdman Mary Kate , Christiano Anthony V , Strelzow Jason 
Published: December 2024

Case:
A 35-year-old man with morbid obesity sustained an ultra-low velocity (ULV) rotational knee dislocation secondary to a fall from standing. The patient was successfully treated using a subcutaneous knee-spanning internal fixator, the “INFIX” technique, which has previously been described for pelvic ring injuries.

Conclusion:
This novel technique maintained the stable reduction of an ULV knee dislocation in a patient with morbid obesity until adequate healing was achieved.
The EFL Students’ Viewpoints on the Contributing Critical Reading Strategies in Critical Reading Comprehension Class
Authors: Nurhayati Dwi Astuti Wahyu 
Published: December 2024

Promoting critical thinking skills should more adapt to critical thinking strategies. The determined investigation aimed to pinpoint groups’ attention to the applying dominant popular Critical Reading Strategies, how to apply critical reading strategies (CRS), how to handle challenges and benefits in critical reading comprehension class. This investigation was disseminated by supervising interview and assigning survey to eighty-four pupils of UIN SATU Tulungagung who joined Critical Reading Comprehension Class by approving qualitative way. This study revealed that the Journaling rank first, Stop,Paraphrase, Questioning as well as Annotation and Marking the text as the second; but practicing several critical reading strategies frequently such as inferring, monitoring understanding, paraphrasing, critical lens, contrarian are desirable to boost students’ critical reading skill. Admitting of arising challenges, equally the capacity of analysing data, ascertaining writers' intentions; evaluating the author's arguments, they claim that their skill of learning critical reading comprehension are getting enhanced through applying suitable CSR practice deploying cognitive process, cultures and linguistic.
Evaluation and Optimization Simulation of Land Suitability for Village Construction in the Urban Rural Integration Zone - Empirical Test Based on 49 Administrative Villages in Chuzhou City, China
Authors: Fan Shuping , Zhu Yuntao , Guo Huimin , Wang Qi , Mi Yishi , Gao Xin , Liu Yangbing , Su Zihao 
Published: December 2024

Abstract

Potential endowment and constraint bottom line are the core elements of evaluating the suitability of village construction land. The scientific and reasonable measurement of the suitability degree and its optimization simulation from the quantity, scale and spatial layout are necessary for demarcating the boundary of village construction land and the preparation and implementation of village planning. This study chooses typical combination of urban and rural Chuzhou in Anhui province jurisdiction 49 administrative villages for the research scope, builds a "potential-constraint" model under the framework of village construction land suitability evaluation index system and measures appropriate degree, further optimization simulation and differential control strategy, to guide the village construction land scientific and reasonable layout. The results show that: (1) the village collective income and land use intensity have a great impact on the potential of village construction land, The proportion of permanent basic farmland, the distance from the organized town and the population loss rate have a great impact on the binding force of village construction land; (2) The proportion of suitable, unsuitable and suitable areas of village construction land is 38.63%, 27.56% and 15.60% respectively, The overall distribution pattern of suitability is " high in the east and southwest, South-Northeast Low ", Suitable areas are mainly Xijian Street, unsuitable areas are mainly Shiji Town, In the future, the village construction land will still be mainly expanded by Xijian Street to Shahe Town and Zhulong Town; (3) The eastern high-suitable area adopts the rural urbanization mode and optimizes the layout in a "group" style, The central low suitable area adopts the mode of "teng village and land reduction" and continuously improves the level of intensive land use, In the southwest, it is suitable for villages to form a "central village" layout mode based on location and economic development. Taking the adjustment of the quantity, scale, and spatial layout of village construction land in the urban and rural fringe as the main context and implementing the optimization simulation of village construction land under the mode of "linking man and land together", to provide theoretical exploration and technical support for the overall layout of urban and rural construction land and the delineation and implementation of "three districts and three lines" in village planning.
Effects of combined application of slow-release nitrogen fertilizer and urea on nitrogen uptake, utilization and yield of maize under two tillage methods
Authors: Fan Mingyuan , Chen Pei , Zhang Chang , Liang Min , Xie Guangming , Zhao Li , Wang Chuangyun 
Published: December 2024

Abstract

Objective The objective of this study is to investigate the effects of the combined application of slow-release nitrogen fertilizer and urea on soil water use efficiency, dry matter accumulation, nitrogen uptake and utilization, operation and yield under two tillage methods.
Method Qiangsheng 388 was selected as the test material, and under rotary tillage (R) and rotary tillage + subsoiling (R + S), the fertilization methods of CK (no fertilization), U (100% urea), S (100% slow-release nitrogen fertilizer) and different UNS ratios (urea and slow-release nitrogen fertilizer) were set up for two years in field experiments.
Result The results showed that compared with CK, U and S, UNS significantly improved water use efficiency, dry matter accumulation, nitrogen uptake, operation and yield. Among them, UNS2 (the ratio of S and U was 7:3) was the best. In 2022, R UNS2 had the best water use efficiency, dry matter accumulation, nitrogen uptake, operation and yield, which were 5.05%, 2.0%, 3.88%, 6.18% and 4.06% higher than those of R + S UNS2, respectively. In 2023, R + S UNS2 had the best treatment, which was 1.98%, 2.52%, 1.85%, 2.60% and 2.20% higher than that of R UNS2, respectively.
Conclusion R + S tillage can effectively improve maize yield, nitrogen uptake and utilization, water use and dry matter accumulation; Nitrogen application treatment UNS2 treatment was the best. In summary, R + S UNS2 is the best coordination strategy.
The Effect of Postnatal Steroids on Lung Ultrasound Scores and Extubation Readiness in Very Low Birth Weight infants
Authors: Sri Sudhir , Singhal Madhavi , Feinstein Kate , Schreiber Michael , Marks Jeremy 
Published: December 2024

Abstract

Objective: We assessed the utility of lung ultrasound scores (LUSs) to predict extubation readiness in VLBW infants, and determined the effect of postnatal steroids on LUSs in babies who were chronically ventilated for > 30 days.
Study Design: We measured infants’ LUS scores before planned extubations and determined the success of the subsequent extubation attempts.
Results: Overall, LUSs were lower in successfully extubated compared with unsuccessfully extubated infants in the entire population. Similar differences were seen in LUSs between successfully and unsuccessfully extubated chronically ventilated infants. In chronically ventilated infants, LUSs did not differ between infants who did and did not receive dexamethasone. However, dexamethasone-treated infants who extubated successfully had lower scores compared to those who did not.
Conclusions: While LUS scores do not predict the need for dexamethasone treatment to promote successful extubation, they do predict subsequent extubation success, irrespective of both dexamethasone treatment and duration of ventilation.
Dietary and Serum Micronutrients Associations with Lung Cancer: Results from the NHANES 1988-2018 and Mendelian randomization study
Authors: Yi Xuyang , Xie Shouzhi , Hu Xinhang , Zhao Wangcheng , Ouyang Yifan , Zhang Zhe , Yang Zhi , Huang Xingchun , Wang Li , Peng Muyun , Yu Fenglei 
Published: December 2024

Abstract

Background
Numerous studies suggest a link between nutrients and lung cancer (LC) development, previous researches have produced conflicting results regarding the effects of diet-derived nutrient levels on LC risk. This study investigates the causal relationships between different types of lung cancer—including lung adenocarcinoma (LA), squamous cell lung cancer (SqCLC), and small cell lung cancer (SCLC)—and 12 dietary micronutrients, while also including calcium as an important mineral nutrient. We used National Health and Nutrition Examination Survey (NHANES) data to prove these associations, both in terms of diet and serum.
Methods
We selected instrumental variables (IVs) for the micronutrients based on recent genome-wide association studies (GWAS) and derived summary statistics for LC involving 33,057 cases and 545,462 controls. The causal inference analysis utilized the inverse-variance weighted (IVW) method, complemented by sensitivity analyses to validate the assumptions. The NHANES data, collected from 1988 to 2018, helped explore these associations, employing random forest imputation for missing data, propensity score analysis for confounding adjustment, and subgroup analyses to assess nutrient-cancer relationships. Machine learning techniques identified micronutrient most significantly associated with LC.
Results
Our findings suggest that higher dietary concentrations of vitamin B12 (OR: 0.30), zinc (OR: 0.06 for LA), vitamin D (OR: 0.60 for LA), and selenium (OR: 0.003 for SCLC) correlate with reduced LC risk. In the NHANES cohort of 14,421 participants, LC patients exhibited lower dietary intakes of the 12 micronutrients despite higher serum concentrations. Notably, machine learning results showed that elevated serum concentrations of calcium, zinc, and copper may also reduce the risk of LC.
Conclusions
These results indicate that zinc may protect against LC, particularly LA, while evidence for other nutrients is insufficient. The study also emphasizes the need for improved nutritional supplementation in LC patients.
Assessing Cognitive Alignment in Pre-tertiary TVET Core Mathematics: A Ghanaian case study of curriculum and exit examination
Authors: Folson Derick , Awush Francis Kwadwo 
Published: December 2024

Abstract

Mathematics is pivotal in global pre-tertiary education, particularly within STEM fields, where mastery facilitates success in finance, engineering, and technology. This study examines the cognitive alignment between Ghana's pre-tertiary TVET Core Mathematics Curriculum and exit examinations from 2011 to 2023, employing Webb’s Depth of Knowledge (DOK) Framework and Porter’s Alignment Model. Using content analysis, 11 exit examination papers were analyzed to evaluate the emphasis on cognitive demand levels, alignment with curriculum standards, and the relationship between alignment indices and pass rates. Findings reveal that Paper 1 predominantly assesses lower-order cognitive skills (DOK 1 and 2), while Paper 2 emphasizes higher-order thinking (DOK 2, 3, and occasionally 4), with significant variations across years. Alignment indices indicate moderate congruence, with the highest in 2011 (0.819) and the lowest in 2019 (0.594). A weak positive correlation (r = 0.241, p = 0.474) was found between alignment and pass rates, highlighting the influence of external factors on student outcomes. Recommendations include improving alignment practices, ensuring equitable representation of cognitive demand levels, and addressing broader determinants of student success.
The Nexus between Perceived Corruption, Macroeconomic Indicators, and Capital Flights in ASEAN-4 Countries
Authors: Hamit Ahmad Fauze Abdul 
Published: December 2024

Abstract

Capital flight refers to the outflow of financial assets from a country due to various factors, including economic instability, political uncertainty, and perceived corruption. Understanding the determinants of capital flight is crucial for policymakers because it has significant implications for a country’s economic stability and growth. This study investigates the impact of the corruption perception index (CPI) and macroeconomic indicators, such as the inflation rate, exchange rate, and gross domestic product (GDP), on capital flights within four Southeast Asian countries or the ASEAN-4: Indonesia, Malaysia, the Philippines, and Thailand from 2010–2020. The current study hypothesises that countries with higher levels of perceived corruption, higher inflation rates, depreciating exchange rates, and lower GDP growth are more likely to experience higher levels of capital flight. The current study employs a static panel data regression analysis via the feasible generalised least squares (FGLS) model for more robust estimates. The analysis revealed a negative relationship between CPI scores and capital flight. Higher CPI scores indicate lower levels of corruption, increased investor confidence, and reduced levels of uncertainty. Conversely, a higher inflation rate positively influences capital flight, reflecting the erosion of purchasing power and reduced investor confidence. Additionally, the analysis also reveals that a depreciating exchange rate may discourage capital flight because it reduces the value of foreign assets held by domestic investors. Finally, higher GDP levels discourage capital flight, indicating a more robust domestic economy and better investment opportunities. Policy implications are derived from the empirical findings, suggesting that addressing corruption is crucial for achieving sustainable economic growth and curtailing capital flight.
Rapid, precise &amp; efficient thin layer chromatography (TLC) method for the detection of major glucosinolates from Indian Mustard (Brassica juncea L.) with special reference to antidiabetic potential revealed by in-silico analysis
Authors: Sharma Anubhuti , Shukla Amit , Kumar Arun , Rai P K , Katiyar Raunak , Khatik Gopal L. , Prasad Surendra , Rai Gyanendra Kumar , Verma Mahendra Kumar 
Published: December 2024

Abstract

Cruciferous plants are a rich source of various bioactive compounds which possess strong antioxidant potential. The potential antioxidant activity of brassica plants makes them the preferred candidate for nutraceutical and pharmaceutical applications. Chromatographic determination is an easy and fast technique for identifying various bioactive compounds with antioxidant activities from samples with different solvent systems. Glucosinolates from the Indian mustard (Brassica juncea L.) samples were extracted and desulphated using column chromatography. With thin layer chromatography (TLC) analysis at least fifteen glucosinolate compounds including their degraded products were detected with various spraying agents. The major glucosinolates such as Sinigrin, 7-Methoxy brassicin, Glucoebeverin, 4-Hydroxy glucobrassicin, Gluconapin, Glucobrassicin, Glucoraphanin, Gluconasturtina, Progoitrin, Glucoerucina and Glucobrassicanapin were qualitatively analyzed by TLC method. Their glycosides were reported with retention factor (Rf) values 0.36, 0.20, and 0.16, and alkaloid compounds with Rf values between 0.5 to 0.6 which also includes their major glycosides. The identified were mainly sulfurous acid esters, succinic acid, 1-methyl butyl ester, 2-methyl-1-butanol ester, allyl hexadecyl ester, allyl nonyl ester, 3,20-allopregnanedione, etc. and major alkaloid identified are cyclopentane propyl, 1,5 heptadiene (E), cholest-5-ene, 3-(1-oxobuthoxy), 6-tetradecanesulfonic acid and butyl ester by Gas chromatographic-mass spectrophotometry (GC-MS) method. It also confirmed the presence of various glycosides, alkaloids and aliphatic glucosinolates like butyl isocyanatoacetate, allyl methallyl ether, 2-propyl tridecyl ester, thereby confirming TLC as fast and inexpensive detection technique for all such compounds in Indian mustard. Further, these compounds were studied for different antidiabetic drug targets via docking study. This results in the potential antidiabetic profile of Brassica juncea L. could be from its key phytoconstituent i.e. 7-methoxy brassicin, 4-hydroxy glucobrassicin and sinigrin. This study can be further explored in experimental valiation of antidiabetic potential of Brassica juncea L.
Discovery of membrane force model for liquid layer under capillary meniscus in cylindrical tubes
Authors: Guo Han , Li Kuangyu , Yang Yingying , Yu Bo , Zhou Huaichun 
Published: December 2024

Abstract

The 200 years long study of capillary phenomena has not yet reached a level of deep understanding and description. In the so-called membrane theory in structural mechanics,1 a shell structure can carry a given load by a pure membrane action without bending moments and torques. The force acting on the membrane is uniformly distributed in the thickness direction, so the stress per unit area is multiplied by its thickness to obtain the membrane force flows with dimension of unit force per unit length, which is exactly consistent with the dimension of surface tension in capillary phenomena. If the weight of the liquid layer with a constant height beneath the capillary meniscus is considered as a load, the Yang Laplace equation describing surface tension is exactly the same as the latitudinal membrane force model in a spherical shell with uniformly distributed loads on the plateform. Experimental results described in this paper have shown that the capillary meniscus of pure liquid inside a cylindrical tube under the action of gravity is very close to a spherical shape with a single radius of curvature under experimental detection accuracy. This is not only true for small radius cylindrical tubes, but also true in cylindrical tubes that form a complete meniscus with the maximum radius. This article proves that the liquid layer beneath the capillary meniscus in a cylindrical tube can be fully described by the inner membrane force model of a spherical shell with uniformly distributed loads, rather than the “surface force” model as commonly believed. This study has opened up a new perspective for the analysis and research of internal forces in fluids.
A Recent Systematic Review: System Identification for Modeling and Control in Autonomous Vehicles
Authors: Zakaria Mohd Zakimi , Saad Mohd Sazli , Nor Azuwir Mohd , Baharudin Mohamad Ezral 
Published: December 2024

Abstract

This systematic literature review aims to identify recent trends and developments in system identification for the modeling and control of autonomous vehicles. Self-driving cars require robust operational dynamics that require modeling to ensure that the vehicles perform complex tasks and respond to changes in the working environment. In response to this, efforts were made to follow the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Following pilot testing and database selection, Scopus and Web of Science searches produced 31 primary studies that met the inclusion criteria. These studies are categorised into three themes: The special topics presented include: (1) Autonomous Vehicles and Navigation Control, consisting of recent developments in path planning, obstacle detection, and mode switching; (2) System Identification and Modeling Techniques, which discusses dynamic model identification, real-time parameter estimation, and observer-based methodology; and (3) Machine Learning and Advanced Control Approaches, which discusses the integration of data-driven models, reinforcement learning, and hybrid control systems on vehicles. The findings indicate that integrating conventional control theories with contemporary advanced machine learning reduces reliability, flexibility, and performance. They also highlight how AV should obtain real-time data and IoT to enhance the performance of the control system under conditions of uncertainty. Considering this, this review finds that system identification remains a fundamental area to make breakthroughs in the development of autonomous vehicles because it offers a link between simulation and real-world results. Therefore, the findings offer a guideline for future research focusing toward making control strategies more intelligent and robust with policies for safer and more efficient auto referent systems in land, airborne, and water vehicle systems.