bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review on Grid-based system and applied GIS in Natural Resource management: A Comparative Analysis
Authors: Kumari Arpita , Geetha P , Shashank A , Rajendrakumar S 
Published: November 2023

Abstract

In this review study, grid-based methods and applied Geographic Information methods (GIS) for resource management are compared. The analysis looks at research or comparison studies to illustrate the benefits and drawbacks of grid-based resource management systems. Through a collection of real-world case studies in water, air, soil, forestry, and disaster monitoring, it discusses the practical impact of GIS in assisting resource management techniques. In order to effectively use GIS for resource management, the findings highlight the significance of data availability and quality, integration of various data sources, spatial analytical complexity, data privacy and security, and cost concerns. The potential of GIS in resolving these issues and promoting sustainable decision-making in natural resource management is covered in the paper's conclusion. Recent research is represented through graphic representation from different websites for upcoming Grid-based approach references. Citation-based statistics are utilized in this research to identify significant publishing sectors, such as the most popular keywords, best-selling books, most-cited journal articles, nations, and writers who have found success in the Grid-based system. The knowledge gained from this review aids in a better understanding of the relative merits and drawbacks of grid-based systems and applied GIS in resource management, offering helpful recommendations for further study and real-world implementations.
External Validation of an Artificial Intelligence Algorithm for the Analysis of Chest X-Rays in the Primary Care Setting
Authors: Catalina Queralt Miró , Vidal-Alaball Josep , Fuster-Casanovas Aïna , Escalé-Besa Anna , Comellas Anna Ruiz , Solé-Casals Jordi 
Published: November 2023

Abstract
Interpreting chest X-rays is a complex task, and artificial intelligence algorithms for this purpose are currently being developed. It is important to perform external validations of these algorithms in order to implement them. This study therefore aims to externally validate an AI algorithm's diagnoses in real clinical practice, comparing them to a radiologist’s diagnoses. The aim is also to identify diagnoses the algorithm may not have been trained for. A prospective observational study for the external validation of the AI algorithm in a region of Catalonia, comparing the AI algorithm’s diagnosis with that of the reference radiologist, considered the gold standard. The external validation was performed with a sample of 278 images and reports, 51.8% of which showed no radiological abnormalities according to the radiologist's report. Analysing the validity of the AI algorithm, the average accuracy was 0.95 (95% CI 0.92; 0.98), the sensitivity was 0.48 (95% CI 0.30; 0.66) and the specificity was 0.98 (95% CI 0.97; 0.99). The conditions where the algorithm was most sensitive were external, upper abdominal and cardiac and/or valvular implants. On the other hand, the conditions where the algorithm was less sensitive were in the mediastinum, vessels and bone. The AI algorithm has proven to be useful when identifying images with or without conditions. However, in order to be a valuable tool to help and support experts, it requires additional real-world training to enhance its diagnostic capabilities for some of the conditions analysed.
Prevalence, Risk Factors, and Adverse Outcomes of Bacterial Vaginosis among Pregnant Women: A Systematic Review
Authors: Sethi Neha , Narayanan Vallikkannu , Saaid Rahmah , Adlan Aizura Syafinaz Ahmad , Ngoi Soo Tein , Shuan Cindy , Hamidi Mashitah 
Published: November 2023

Abstract

Background
The existence of bacterial vaginosis (BV) during pregnancy has currently attracted the attention of the scientific community due to its possible association with adverse clinical outcomes. However, the practical implications of BV in pregnant women are still not that well defined. This study aims to critically review and report the prevalence, risk factors, and adverse outcomes of BV among pregnant women.
Methods
A comprehensive systematic search on PubMed, ScienceDirect, and Cochrane databases was conducted based on the preferred reporting items for systematic review and meta-analyses (PRISMA) criteria.
Results
The search yielded a total of 2237 records; among them, 12 studies met the inclusion criteria and were included in the qualitative synthesis. The results indicated a higher prevalence of BV among the African population. The risk of developing BV during pregnancy was highest among women with multiple sexual partners. Additionally, factors including age, socioeconomic status, unhygienic practices, ethnic background, 2nd trimester, spontaneous abortion, vaginal douching, symptoms, and history of sexually transmitted infections were also associated with a higher prevalence of BV. Overall, 58.3% of the studies reported adverse outcomes during pregnancy which was directly associated with BV. It was found that premature rupture of membranes, preterm birth, and low birth weight were the most frequently reported adverse outcomes in pregnant women with BV.
Conclusion
The high prevalence of bacterial vaginosis necessitates a global surveillance approach to delineate the health risks imposed on both mother and child, and promote cost-effective strategic measures to alleviate the undesired consequences of BV during pregnancy.
Research on the Grinding Performance of Grinding Wheel in the Initial Grinding Stage after Electric Spark Dressing of Grinding Wheel
Authors: Liu Lifei , Fang Mouxin 
Published: November 2023

Abstract
Electrical discharge dressing has advantages of high precision, high efficiency and low cost, which is an effective dressing method for metal bonded diamond grinding wheel. In this paper, the influence of discharge voltage, discharge current and power pulse width on the surface morphology of the grinding wheel were studied by single factor method. The grinding experiments of SiC ceramics were carried out and the surface morphology of the grinding wheel and the surface roughness of the workpiece after grinding a certain volume of SiC ceramics were analyzed. The experimental results show that large electrical parameters can improve the dressing efficiency, but the grinding wheel surface appears more adverse phenomena such as abrasive shedding, looseness, bond melting recasting. In the early stage of grinding wheel, surface damage is serious, and grinding workpiece surface roughness is poor. It provides a practical reference for the reasonable selection of EDM dressing of metal bond diamond grinding wheel.
Low-Density Urbanisation: Prestate Settlement Growth in a Pacific Society
Authors: Parton Phillip , Clark Geoffrey 
Published: November 2023

Abstract
The recognition of low-density urbanisation has been important in documenting how diverse human settlements generated enduring social and economic change. In tropical regions, the key challenges to studying low-density urbanisation have been the difficulty in acquiring past built environment data and integrating the frameworks that illuminate the social behaviours intrinsic to urbanisation. The introduction of lidar mapping and urban science methods has proven revolutionary in our understanding of low-density urbanisation as demonstrated by emerging research on settlements and states in Mesoamerica and Southeast Asia. These studies draw on urban theory to highlight patterns in the built environment associated with profound societal changes including the rise of social institutions, agglomeration effects and ongoing settlement growth. Here, we present an approach that combines lidar survey and archaeological fieldwork with recent developments in urban science to understand the built environment of Tongatapu; the location of an archaic state whose influence spread across the southwest Pacific Ocean between the thirteenth and nineteenth centuries a.d. Quantitative results show—for the first time—that settlements on a Pacific island were urbanised in a distinct low-density form, and that the processes of urbanisation began prior to state development. This study highlights the contribution of Pacific landscapes to urban science and the low-density settlement phenomena given the presence of large populations, hierarchical societies, and vast distributions of archaeological built remains on many island groups.
The employment activated by the National Recovery and Resilience Plan in the construction sector at the regional level
Authors: Camussi Silvia Anna Maria , Dottori Davide , Mancinelli Marco , Mancini Anna Laura , Modena Francesca , Recchia Pasquale , Russo Emanuele , Tanzi Giulia Martina 
Published: November 2023

Abstract
This work estimates the regional employment generated by the National Recovery and Resilience Plan (NRRP) in the construction sector, based on the resources already assigned to new projects. These resources are associated with the creation of regional value added, estimated using a standard Leontief model applied to 2019 Input-Output tables. Then, the number of employees needed to reach the expected increase in production is derived. In the second part of the analysis, possible channels to satisfy the estimated labor demand are discussed, taking into account the regional heterogeneity in labor supply and workers’ mobility.
JEL Classification: D57, J2, H50
Unveiling Cross-Linguistic Mastery: Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer Learning
Authors: Fateh Amirreza , Birgani Reza Tahmasbi , Fateh Mansoor 
Published: November 2023

Abstract
In the realm of data analysis and document processing, the recognition of handwritten numerals stands as a pivotal advancement. This contribution has steered transformative shifts in optical character recognition, historical handwritten document analysis, and postal automation. A persistent challenge in this arena is the recognition of handwritten digits across a spectrum of languages, each with its idiosyncrasies. We present an innovative paradigm to surmount this hurdle, transcending the confines of monolingual recognition. Unlike the status quo, which gravitates toward a narrow subset of languages, our method orchestrates a comprehensive solution spanning 12 distinct languages, deftly navigating linguistic intricacies. The catalyst for this efficacy is transfer learning, amplifying image quality and recognition acumen. Emboldening this framework is an ingenuity-charged attention-based module that refines precision. Our rigorous experimentations substantiate quantum leaps in image quality and the prowess of linguistic and numeral recognition. Notably, we unearth significant accuracy strides, eclipsing 2% enhancements in specific languages vis-à-vis antecedent methodologies. This endeavor epitomizes a sturdy, economically sound avenue, unshackling multilingual handwritten numeral recognition to an expansive spectrum of languages.
Automated rodent sleep spindle detector: MATLAB app using two complementary search algorithms
Authors: Holly Kevin Scott , Murray Teresa Ann , Kumler Allison C. , Dhungel Pragya , Rudrashetty Sai Mohan , Villarrubia Sadie , Merten John E. , Kemp Aaron S. , Iasemidis Leonidas , Larson-Prior Linda 
Published: November 2023

Abstract
A Rodent Sleep Spindle Detector (RSSD) application (app) was developed to assist researchers working with high volume studies examining the impact of sleep on neurological function. Our RSSD is a MATLAB-based software program with a user interface that automatically identifies sleep spindles from intracranial EEG (iEEG) recordings of rodents using two novel yet complementary algorithmic approaches, a primary and secondary one. To validate the program, 6,000 copies of real spindles of 5 different types, ranging from 11–17 Hz with a duration of at least 0.3 seconds, were randomly placed within a noisy simulated prefrontal cortex iEEG signal of 50,000 seconds in duration. When compared to the ground truth on a datapoint-by-datapoint basis (individual spindle detection), the program had an accuracy of 98.40 ± 5.62% (mean ± SD) with 95% C.I. [91.93, 100] and 96.90 ± 4.34% (mean ± SD) with 95% C.I. [91.91, 100] for the primary and secondary algorithmic approach, respectively. Evaluating total spindle count, the program had an accuracy of 93.68 ± 13.66% (mean ± SD) with 95% C.I. [81.71, 100], and of 99.85 ± 0.12% (mean ± SD) with 95% C.I. [99.71, 99.96] for the primary and secondary algorithmic approach, respectively. The robustness of the sleep spindle detection was further validated for a range of spindle's duration, amplitude, and frequency by embedding in the iEEG signal respective artificial spindles. Finally, the RSSD app further improves its performance by first processing available video recordings of rodents to identify periods of quiescence and then running the sleep spindle detection algorithms on the iEEG only for those periods.
Evaluation of the optimal cutting performance of high speed steel and tungsten carbide cutting tools in the machining of aisi 304 steel.
Authors: Aboloje Alfred Eviwanrherhe , sada samuel oro-oghene , Ekpu Mathias , Eyenubo Jonathan 
Published: November 2023

Abstract
With the increasingly rapid development of technology, and the rising need to promote productivity that is based on quality, energy and cost, it imperative that cutting tools are not selected at random. It is particularly important to note, that aligning work piece materials to specific cutting tools, generally improves manufacturing costs, lead-time, quality of the overall product, and provides greater flexibility when this is done along with the corresponding optimal cutting parameters. All these significantly dictate, and contribute to the overall manufacturing cost of finished products. This study has been performed using the High speed steel and Tungsten carbide tools to comparatively determine the most suitable cutting tool for the machining of a 304 Austenite Steel cylindrical bar. The tool wear of the cutting tools was selected as a measured to ascertain their performance in the turning operation. Response surface methodology was employed to analyzing the results and determining their optimal performance. From the study, the tungsten carbide tool recorded optimal parameters as follows; cutting speed 1303m/min, feed rate 0.354 mm/rev, and depth of cut 0.458mm with a tool wear of 1.173mm. And for the high speed steel tool; cutting speed 1321m/min, feed rate 0.208 mm/rev, and depth of cut 0.682mm with a tool wear of 2.073mm. The study judging from the tool wear shows the efficiency of the tungsten carbide tool over the high speed steel cutting tool, as it can be seen from the results obtained that the lowest tool wear in the turning of the cylindrical steel bar, is recorded from the use of the tungsten carbide cutting tool. From the 3D surface plots, it can be confirmed that to obtained a good performance from the different cutting tools, the cutting speed best suited for the cutting tool must be taken into consideration.
Study of the characteristics and application of new filling material for buried Karst caves
Authors: Wang Zhijia , Li Haojie , Xie Peng , Duan Shusu , Zhang Youliang 
Published: November 2023

Abstract
During the construction of the subway, the treatment of the abandoned soil would bring a series of problems, including higher transportation costs, environmental pollution, material waste, and so on. Therefore, a new type of fill material for buried Karst caves was collocated using the abandoned soil in this paper. Firstly, in-situ soil, volcanic ash silicate cement (P·P 42.5), nanoscale silica, sodium silicate, polycarboxylate superplasticizer, and water was the raw materials and systematic orthogonal experiments with three influencing factors at four levels designed. Concurrently, the compressive strength of samples sourced using unconfined compressive strength tests, and the experimental data (curing time is 28 days) met the demand for actual engineering reinforcement. Subsequently, the analysis of range of experimental data was conducted, and the optimal mixing proportion ( In-situ soil：volcanic ash silicate cement (P·P 42.5)：Nanoscale silica：Sodium silicate：polycarboxylate superplasticizer：water) is equal to 2000:500:12.5:30:7.5:444. Finally, the SEM (scanning electron microscope) analysis of in-situ samples shows the microstructure of the new kind of fill material was the filamentous and sheet-like connection, and the application of buried Karst cave filling in Shenzhen Metro Line 3 Project proved the validity of the new kind of fill material. All the above conclusions provided significant support and data reference for the grouting treatment of buried Karst caves.
Larvicidal, Ovicidal and Repellent Activities of Leucas stachydiformis (Hochst. ex Benth.) Briq Essential Oil against Anopheles arabiensis
Authors: Fikru Sisay , Tolossa Ketema , Lindemann Peter , Bucar Franz , Asres Kaleab 
Published: November 2023

Abstract
Background: Despite tremendous efforts made to curb malaria morbidity and mortality, malaria control has slowed down due to resistance to all currently used insecticides by mosquitoes, and their negative effect on the non-target organisms and the ecosystem. Thus, there is an urgent need to search and develop new plant-based malaria vector control strategy from medicinal plants origin such as essential oil.
Methods: Larvicidal effect was tested against the fourth instar An. arabiensis wild larvae whilst freshly laid ova of An. arabiensis were used to determine ovicidal activity of the essential oil at concentrations ranging from 6.25 to 400 ppm. Concentrations of 41.6–366.7 µg/cm2 were used to evaluate repellent activity of the essential oil on 3–5 days old adult female An. Arabiensis. The essential oil composition of Leucas stachydiformis was also analyzed using GC-MS.
Results: Larvicidal, ovicidal and repellent activities of the essential oil extracted by hydrodistillation from leaves of the endemic Ethiopian plant Leucas stachydiformis (Hochst. ex Benth.) Briq was investigated against Anopheles arabiensis, the dominant malaria vector species in Ethiopia. The study revealed that the oil possesses the highest larvicidal activity at 400 ppm and 200 ppm after 24 h and 48 h treatment. LC50 values for the fourth larval instar after 24 h and 48 h treatment were 43.4 ppm and 34.2 ppm, respectively. After 72 h exposure, the oil displayed 100% ovicidal activity at 400 ppm with IH50 value of 32.2 ppm. In the repellency test, at concentrations of 366.7, 133.3 and 41.6 µg/cm2, the oil gave total percentage protection of 67.9 ± 4.2%, 37.2 ± 2.8% and 32 ± 2.2%, respectively, for 4 hours. The highest concentration (366.7 µg/cm2) gave 100% protection up to 90 min. GC-MS analyses of the oil revealed the presence of 24 compounds representing 90.34% of the total oil with caryophyllene oxide, germacrene D, and trans-caryophyllene constituting more than 50% of its components.
Conclusion: Results of the present study suggest that the essential oil of L. stachydiformis has the potential to be used for the control of An. arabiensis mosquitos.
Optimizing Red Sokoto Buck Performance and Sustainable Resource Utilization: Fish Pond Wastewater- Derived Sawdust Diets for Enhanced Livestock Productivity. Enhancing goat performance and reducing pollution
Authors: Anigbogu Nnamdi Mbanefo , OBIOMA Chidiebere Anyalewachi , Agida Christopher Agboje , Aroh Izuchukwu Martin , ONWUABUGHIJE Cyril Bright , OHANEHI Anselem Arinze , OKWUDIFELE Moses Chukwuebuka , MACARTAN Benjamin P 
Published: November 2023

Abstract
This study investigated the impact of feeding Red Sokoto bucks in an intensive management system with fermented and unfermented sawdusts derived from fish pond wastewater and compared its effects on goats. The research focused on evaluating the proximate composition, mineral analysis, growth performance, and nutrient efficiency of the bucks under different dietary treatments and lasted for nine weeks. Dietary treatments (T1, T2, and T3) were administered to 486 bucks, weighing between 12 to 14 kg, with each treatment replicated six times. T1 contained 40% untreated sawdust, T2 had 40% treated sawdust, and T3 included 70% treated sawdust. The study assessed the proximate composition, mineral analysis, and nutrient efficiencies of these sawdusts as well as the growth performance of goats fed these materials. Data were analyzed using a two-way analysis of variances, revealing significant differences (p<0.05) and (p<0.01) among the treatments. Mineral analysis confirmed safe levels for all dietary treatments. Notably, bucks fed with dietary two (40% treated sawdust) outperformed other groups (p<0.05). This study suggests that incorporating 40% fish pond wastewater effluent-treated sawdust in Red Sokoto buck diets can optimize performance while effectively managing organic solid waste and fish pond effluents. This approach enhances the accessibility and cost-effectiveness of ruminant feeds, promoting sustainability and resource utilization in livestock farming.
Integrated analyses revealed the potential role and immune link of mitochondrial dysfunction between periodontitis and type 2 diabetes mellitus.
Authors: Song Jinlin , Pan Shengyuan , Yang Lanxin , Zhong Wenjie , Wang He , Lan Yuyan , Chen Qiyue , Yu Simin , Yang Fengze , Yan Pingping , Peng Houli , Liu Xuan , Gao Xiang 
Published: November 2023

Abstract
There is a reciprocal comorbid relationship between periodontitis and type 2 diabetes mellitus (T2DM). Recent studies have suggested that mitochondrial dysfunction (MD) might be the key driver underlying this comorbidity. Through bioinformatics approaches and experimental validation, this study aimed to elucidate the interactions between MD and this comorbidity to lay the groundwork for the development of novel treatment approaches. MD-related differentially expressed genes (MDDEGs) were identified. Enrichment analyses and PPI network analysis were then conducted. Six algorithms were used to explore the hub MDDEGs, and these were validated by ROC analysis and qRT-PCR. Co-expression and potential drug targeting analyses were then performed. Potential biomarkers were identified using LASSO regression. The immunocyte infiltration levels in periodontitis and T2DM were evaluated via CIBERSORTx and validated in mouse models. Subsequently, MD-related immune-related genes (MDIRGs) were screened by WGCNA. The in vitro experiment verified that MD was closely associated with this comorbidity. GO and KEGG analyses demonstrated that the connection between periodontitis and T2DM was mainly enriched in immuno-inflammatory pathways. In total, 116 MDDEGs, eight hub MDDEGs, and two biomarkers were identified. qRT-PCR revealed a distinct hub MDDEG expression pattern in the comorbidity group. Altered immunocytes in disease samples were identified, and their correlations were explored. The in vivo examination revealed higher infiltration levels of inflammatory immunocytes. The findings of this study provide insight into the mechanism underlying the gene-mitochondria-immunocyte network and provide a novel reference for future research into the function of mitochondria in periodontitis and T2DM.