bluuebunny/crossref_metadata_2025 huggingface dataset:
Composition-regulated lattice strain of PdSn/C for boosting C1 pathway in ethanol electrooxidation
Authors: Cai Yin , Tao Yi , Ding Jie , Li Fuhua , Chen Rongsheng , Ma Tao , Liang Feng
Published: January 2025

The rational design of Pd-based catalysts to enhance their applications in ethanol oxidation reaction (EOR) presents both exciting opportunities and significant challenges. Herein, a series of carbon-supported PdSn nanoparticle catalysts (PdSn/C-X, X = 0.1, 0.5, 1, 2) with tunable lattice strains were synthesized using a facile method at room temperature and applied to the EOR. Our findings demonstrate that the activity and stability of EOR can be modulated by manipulating the lattice strain in Pd-based catalysts. Remarkably, PdSn/C-1 exhibits an excellent mass current density of 8,452.3 mA/mgPd, which is higher than that of most Pd-based catalysts, along with great stability, maintaining a mass activity of 573.9 mA/mgPd after 5,000 s. By combining structural analysis, in situ spectral characterization, and theoretical calculation, we elucidate that the optimal tensile strain adjusted by Sn composition in PdSn/C optimizes the free energy of the key intermediate (*CH2CO) during EOR, thereby favoring the C1 pathway and enhancing catalytic activity. This study demonstrates that by controlling the composition, the lattice strain can be altered to improve catalytic performance of Pd-based catalysts in EOR.
Improved atom probe specimen preparation by focused ion beam with the aid of multi-dimensional specimen control
Authors: Yang Limei , Chen Eason Yi-Sheng , Qu Jiangtao , Garbrecht Magnus , McCarroll Ingrid E. , Mosiman Daniel S. , Saha Bivas , Cairney Julie M.
Published: January 2025

Focused ion beam lift-out has become an essential technique for fabricating small-scale specimens in atom probe tomography (APT). By using a rotatable micromanipulator, we developed methods that can precisely extract the regions of interest for APT samples with challenging-to-prepare geometries. Combining this function with pre-milling and pre-tilt operations, we prepare three typically challenging APT specimens: nanoparticles, nanowires, and thin films. This combination can effectively decrease the sample preparation time and increase the accuracy of focused ion beam lift-out specimen preparation.
Determinan Efisiensi Teknis dan Sosial Ekonomi Produksi Kopi
Authors: Saputro Arief Joko , Sari Dina Kartika
Published: January 2025

Abstrak
Petani kopi di Indonesia menghadapi beberapa tantangan, salah satunya adalah produktivitas dan keterampilan petani yang rendah. Petani kecil di Indonesia sering kali mengalami produktivitas yang rendah dan kurangnya keterampilan dan pengetahuan yang diperlukan untuk meningkatkan praktik pertanian mereka. Tujuan dalam penelitian ini adalah untuk mengetahui tingkat efisiensi teknis produksi kopi dan mengetahui faktor sosial ekonomi yang mempengaruhi inefisiensi teknis kopi. Penelitian ini dilaksanakan di Kecamatan Prigen, Kabupaten Pasuruan, Jawa Timur. Pemilihan lokasi ini dilakukan secara sengaja (purposive). Metode analisis data yang digunakan adalah Data Envelopment Analysis untuk menganalisis tingkat efisiensi teknis dan analisis regresi tobit untuk menganalisis faktor sosial ekonomi yang mempengaruhi inefisiensi teknis. Hasil penelitian rata-rata efisiensi total sebesar 0,798 (TE CRS), efisiensi teknis murninya (TE VRS) 0,873, skala efisiensi (SE) 0,911. Faktor sosial ekonomi yang mempengaruhi inefisiensi teknis antara lain pendidikan, luas lahan, penyuluhan. Pemerintah dan pemangku kebijakan diharapkan dapat memfasilitasi petani dalam penguatan kelembagaan dan peran penyuluh pertanian agar tercapainya usahatani yang efisien.
Pengembangan E-Book Panduan Mendesain Bahan Ajar E-Learning Di Pusdiklat Keuangan Umum
Authors: Husnul Haibah  , Khaerudin  , Ariani Diana
Published: January 2025

ABSTRAK
Penelitian pengembangan ini bertujuan untuk menghasilkan produk berupa E-Book Panduan Mendesain Bahan Ajar E-learning. Pengembangan produk ini ditujukan untuk staf Pengembang Teknologi Pembelajaran di Pusat Pendidikan dan Pelatihan Keuangan Umum. Penelitian pengembangan ini dilakukan dengan mengacu pada model pengembangan Rowntree. Model ini terdiri dari tiga tahapan utama yaitu tahap perencanaan, tahap persiapan penulisan, serta tahap penulisan dan penyuntingan. Evaluasi pada penelitian ini menggunakan metode evaluasi formatif dengan melibatkan ahli (expert review) dan pengguna (face-to-face tryouts). Penelitian pengembangan ini melibatkan ahli materi, ahli desain pembelajaran dan ahli media dalam rangka melakukan review dan memberi masukkan terhadap produk yang dikembangkan dengan metode wawancara. Tahap uji coba pengguna dilakukan dengan face to face tryouts melalui wawancara yang melibatkan 2 staf Pengembang Teknologi Pembelajaran. Hasil penelitian ini menunjukkan bahwa produk e-book panduan yang dihasilkan memiliki kualitas yang baik dan dapat digunakan untuk memfasilitasi kegiatan mendesain bahan ajar e-learning di Pusdiklat Keuangan Umum.
 
Kata Kunci: E-Book, Mendesain Bahan Ajar E-Learning, Model Pengembangan Rowntree, Panduan, Penelitian Pengembangan.
 
ABSTRACT
This development research aims to produce an E-Book Guide for Designing E-Learning Teaching Materials. The product is intended for Learning Technology Developer staff at the General Finance Education and Training Center. The development research was conducted by referring to the Rowntree development model. This model comprises three main stages: the planning stage, the writing preparation stage, and the writing and editing stage. The evaluation in this study used the formative evaluation method, which involved experts (expert review) and users (face-to-face tryouts). This development research involved material experts, learning design experts, and media experts who reviewed and provided input on the products developed using the interview method. The user trial stage was conducted through face-to-face interviews with 2 Learning Technology Developer staff. The results of this study indicate that the resulting e-book guide product has good quality and can be used to facilitate the activities of designing e-learning teaching materials at the General Finance Training Center.
 
Keywords: Designing E-Learning Teaching Materials,  Development Research, E-Book, Guidebook, Rowntree Development Model.
Gamifikasi Berbasis Website Untuk Mata Kuliah Manajemen Sistem Informasi Di Program Studi S1 Teknologi Pendidikan FIP UNJ Menggunakan Model Integrative Learning Design Framework (ILDF).
Authors: Ariani Diana , Widyaningrum Retno , Suprayekti
Published: January 2025

Penelitian pengembangan ini bertujuan untuk: 1) menghasilkan produk berupa media Smart Box. 2) Menguji keefektifan penggunaan produk pengembangan media Smart Box untuk Siswa kelas 4 di SDN Cijujung 01 Kabupaten Bogor. Penelitian ini merupakan penelitian pengembangan dengan menggunakan model 4D, Thiagarajan (1974). Pengumpulan data menggunakan wawancara, angket, dan test, dengan subjek melibatkan satu guru kelas 4D dan 34 siswa kelas 4D SDN Cijujung 01 Kabupaten Bogor. Analisis data menggunakan teknil analisis data kualitatif dan kuantitaif. Hasil penelitian ini adalah uji coba small group dengan nilai 63,37% kategori “efektif”, uji coba field test dengan nilai 66,59% kategori “efektif”, hasil angket respon uji coba small group dengan skor 97,1% kategori “sangat valid”, hasil angket uji coba field test dengan skor 95,2% kategori “sangat valid”. Kesimpulan Hasil penelitian adalah: (1) Media Smart Box dapat meningkatkan pemahaman belajar siswa kelas 4 di SDN Cijujung 01 Kabupaten Bogor, dan (2) Media Smart Box efektif digunakan sebagai media pembelajaran “Pendidikan Pancasila” di kelas 4.
Longitudinal study of foot-and-mouth disease virus in Northern Nigeria: implications for the roles of small ruminants and environmental contamination in endemic settings
Authors: Gubbins Simon , Brown Emma , Wungak Yiltawe , Oyekan Olumuyiwa , Adedeji Adeyinka J. , Ijoma Sandra I. , Atai Rebecca B. , Oguche Moses O. , Samson Mark , Dogonyaro Banenat B. , Rosso Fabrizio , Hicks Hayley , Wood Britta A. , Wadsworth Jemma , Knowles Nick , King Donald P. , Ludi Anna B. , Colenutt Claire , Shaw Andrew E. , Limon Georgina , Ehizibolo David O.
Published: January 2025

Foot-and-mouth disease (FMD) is a highly contagious disease affecting cloven-hoofed ungulates. This study aimed to enhance our understanding of the role of small ruminants and environmental contamination in the epidemiology and endemicity of FMD. A longitudinal study was conducted between March 2021 and October 2021 in northern Nigeria, where monthly samples were collected from five households, one livestock market and one transhumance location in two local government areas (LGA) identified as being at high risk of FMD. Serum samples (n = 783), oral swabs (n = 424) and environmental swabs (n = 458) were collected and tested for the presence of foot-and-mouth disease virus (FMDV) RNA by rRT-PCR. Serum samples (n = 780) were also tested for the presence of antibodies against FMDV non-structural proteins. The proportion of FMDV RNA positive samples increased in all sample types collected in one LGA during the period when an FMD outbreak was reported in the same LGA. In contrast, sero-positive samples did not differ by month but differed between LGAs and amongst species. The force of infection estimated from age-seroprevalence data for each household was significantly lower in goats compared with both cattle or sheep. Five O/EA-3 topotype sequences were obtained from selected FMDV RNA positive samples; findings which support the use of environmental swabs to detect circulating FMDV strains in endemic settings. These results show oral and environmental swabs are suitable sampling methods for early detection at animal and herd level, respectively and provide insights on the role of small ruminants on FMD epidemiology.
Exam Timetabling Problem Using Cooperative Hyper-heuristics: A Case Study of the ITC2007 Dataset
Authors: Han Kate , Oginni Evelyn , Chen Yun
Published: January 2025

In recent years, selection-based hyper-heuristics have shown success across various problem domains, significantly enhancing performance in complex optimization tasks. These hyper-heuristics rely on an effective ensemble of heuristic selection and move acceptance strategies to achieve optimal results. To further advance this field, we propose a novel cooperative hyper-heuristic approach that introduces a three-level agent-based framework, which incorporates multiple cooperative schemes to enhance solution exploration. Our evaluation focuses on exam timetabling problems, where collaboration among agents enables a broader investigation of feasible solutions within the same computational time constraints. Experimental results from the ITC2007 dataset reveal that our approach not only improves hyper-heuristic performance but also maintains robustness compared to existing state-of-the-art methods.
An in-field automatic fruits recognition and classification system
Authors: Gill Harmandeep Singh , Kaur sumeet , Khan Shakir , Gupta Gaurav , Bhatt Abhishek
Published: January 2025

Fruit is an important part of daily diet around the globe. Automatic fruit classification and recognition is an ill-posed problem. Till now many machines learning models have been developed to classification fruits. However, the classification performance of these techniques is reduced during poor weather and environmental conditions in real-time processing applications. It is quite challenging to automatically classify the fruits from images, when the images are captured from a different viewing angle. This paper proposes an in-field automatic fruit recognition and classification model. Convolution Neural Network (CNN) used to extract image features, Recurrent Neural Network (RNN) used to label and sequence the extracted by CNN. Long-Short Term Memory (LSTM) used to categorize the fruits by using image features that have already been selected and extracted. Experimental and simulation results demonstrate that the proposed system outperforms conventional Machine learning applications. Moreover, the proposed system has been packed into real-time support for the recognition of fruits.
Detecting AI Generated Content in Short Form Text
Authors: Jadhwani Somesh , Jain Shreya , Doshi Pankti
Published: January 2025

As the use of AI-powered language models continues to grow exponential-ly, the ability to distinguish human generated text from AI generated text has become critical to combat misinformation and uphold trust on online platforms. This study addresses the novel challenge of classifying casual, short-form user reviews on e-commerce websites as either human generated or AI generated. A custom dataset of over 60,000 authentic reviews and 17,645 AI generated reviews across diverse product categories was engi-neered by web scraping and prompting state-of-the-art large language mod-els. Through rigorous feature engineering, model development, and statisti-cal analysis, this research demonstrates the feasibility of accurately dis-criminating between human generated and AI generated content in informal contexts.
Divergent Effects of the Enfacement Illusion on Face and Body Image Disturbance Across Female Eating Disorder Risk Groups
Authors: Portingale Jade , Krug Isabel , Rheenen Tamsyn E Van , Kiropoulos Litza , Bartholomeusz Cali F , Nasser Helen , Butler David
Published: January 2025

Embodiment illusion research suggests impaired multisensory integration in individuals with eating disorders (EDs), whilst offering potential therapeutic applications. However, face-related illusions remain unexplored. This study investigated the relationship between ED risk, susceptibility to the enfacement illusion, and improvements in face and body image disturbance after experiencing enfacement. Female Caucasian and Asian participants (N = 226), categorised as high ED risk (n = 102, 45.1%) or low ED risk (n= 124, 54.9%), completed an online assessment featuring a novel enfacement illusion task involving synchronous and asynchronous facial mimicry. We assessed subjective (self-report) and objective (self-face recognition task) enfacement, alongside pre- and post-task self-reported face and body image disturbance. Multilevel modelling revealed successful enfacement induction across participants, with models explaining 3–11% unique variance in enfacement measures. While both groups showed similar illusion susceptibility, the effects of enfacement diverged significantly: high ED-risk participants experienced increased body and head dissatisfaction, whereas low ED-risk participants demonstrated reduced body dissatisfaction and dysmorphic concern (20-29% unique variance explained). These findings suggest a potential dissociation between face and body perception processes, whereby face-related multisensory integration processes may remain intact in ED populations, despite potentially adverse effects of enfacement on face and body image in high-ED-risk individuals.
Impact Classification within and beyond Academia: Domain-Robust Annotation and the Capacity of Large Language Models
Authors: Becker Maria , Han Kanyao , Rezapour Rezvaneh , Diesner Jana , Witt Andreas
Published: January 2025

Prior analyses and assessments of the impact of scientific research has mainly relied on analyzing its scope within academia and its influence within scholarly circles. However, by not considering the broader societal, economic, and policy implications of research projects, these studies overlook the ways in which scientific discoveries contribute to technological innovation, public health improvements, environmental sustainability, and other areas of real-world application. We expand upon this prior work by developing and validating a conceptual and computational solution to automatically identify and categorize the impact of scientific research within and especially beyond academia based on text data. We first empirically develop and evaluate an annotation schema to capture and classify the impact of research projects based on research reports from different scientific domains. We then annotate a large dataset of more than 45k sentences extracted from research reports for the developed impact categories. We examine the annotated dataset for patterns in the distribution of impact categories across different scientific domains, co-occurrences of impact categories, and signal words of impact. Using the annotated texts and the novel classification schema, we investigate the performance of large language models (LLMs) for automated impact classification. Our results show that fine-tuning the models on our annotated datasets statistically significantly outperforms zero- and fewshot prompting approaches. This indicates that state-of-the-art LLMs without fine-tuning may not work well for novel classification schemas such as our impact classification schema, and in turn highlights the importance of diligent manual annotations as empirical basis in the field of computational social science.
Design of High Voltage Power Supply System for Application of Electrohydrodynamic Drying
Authors: Shaikh Anas Ejaz Yasmeen , Mishra Hari Niwas
Published: January 2025

Electrohydrodynamic (EHD) drying is an emerging technique for energy-efficient, non-thermal, and high-quality drying of food and biomaterials. It is based on enhancement of moisture removal from food material under action of electric wind resulting from corona discharge, which is generated when high voltage is applied across two electrodes with different radii of curvature. A high voltage power supply (HVPS) is an important component in experimental set-up for studying EHD drying process. In the present study, an HVPS for EHD drying of food has been developed based on its design, measurement, and control requirements. A flyback or line output transformer was used to generate high voltage up to range of 10 kV (peak-to-peak output voltage). Performance of HVPS was evaluated using current-voltage characteristics and power consumption. Maximum peak-to-peak output current obtained was ~ 450 mA under load of 20 MΩ. Average and root mean-squared power of HVPS ranged from 9 to 26 W and 13 to 35 W, respectively. Cost and weight of HVPS were 5,588 INR and 2.4 kg, respectively. Thus, the designed HVPS offered low-cost and portable solution to generate high voltage for electrohydrodynamic drying. This research will expedite the process for development of electrohydrodynamic dryers for food industry.
Exploration of Geothermal Potential in Mbeya Region by Using Remotely Sensed Data
Authors: Masanga Mercy , Ijumulana Julian
Published: January 2025

Amid a global push for sustainable energy solutions, Tanzania is emerging as a frontrunner in exploring renewable energy resources. The nation's strong commitment to combating climate change has driven extensive research into renewable energy alternatives sources such as geothermal, solar, and wind energy. Traditionally dependent on hydropower, Tanzania's energy sector has faced disruptions due to decreasing water levels and technical difficulties with hydropower plants. Geothermal energy, however, has emerged as a promising alternative. While conventional geological methods for detecting geothermal zones are known for their accuracy, they come with substantial costs. Integrating these methods with remotely sensed data has led to significant improvements in efficiency and precision. In response to the challenges the government of Tanzania has launched ambitious plans to advance geothermal exploration and extraction by establishing Tanzania Geothermal Development Company (TGDC) in 2014. This study employs advanced Geographical Information System (GIS) tools and remotely sensed data to identify geothermal potential zones in Mbeya, Rungwe, and Kyela districts. The methodology includes spatial analysis, by generating flow direction maps with major and minor faults, then overlaying hot springs to create a geological suitability factor. The Normalized Difference Vegetation Index (NDVI) threshold method was used to generate thermal elements. Additionally, the Random Forest method was then applied to create a land cover suitability map. Thereafter classifying regions into three primary categories: most suitable, moderately suitable, and least suitable. The study’s results were compared with existing field survey data to validate the effectiveness of the GIS based approach. To ensure high reliability, this research proposes validating remotely detected potential zones using various models, aiming for a confidence level of at least 95%. These efforts lay the foundation for unlocking Tanzania's geothermal potential, paving the way for a transformative shift towards sustainable energy leadership both within Africa and globally.
Single-cell resolution transcriptional atlases of aerial and subterranean pegs reveals auxin signaling associated with peg development in peanut
Authors: Jin Weicai , Xu Mengyun , Huang Lu , Zhou Yueni , Xiao Yuan , Zhong Wenhao , Liang Yanyue , Zheng Zihao , Li Haifen , Yu Qianxia , Li Shaoxiong , Wang Runfeng , Varshney Rajeev K. , Lu Qing , Hong Yanbin , Chen Xiaoping , Wang Wenyi , Liu Hao
Published: January 2025

Pegging is a unique characteristic of peanut plants in which chasmogamous flowers are produced aerially that penetrate into the soil and develop subterranean pods. However, the gene networks that regulate peg development in peanut remain largely unknown. To investigate the spatiotemporal regulation of gene regulatory networks during peg growth and development. Here, we constructed a single-nucleus resolution transcriptomic atlas of both aerial and subterranean pegs comprising 50,903 individual cells and annotated nine major cell types using cell markers and in situ hybridization. Transcription factors (TFs) developmental differentiation trajectories and predicted interaction networks were identified during peg development. Combination of single-nucleus RNA-sequencing (snRNA-seq) and bulk RNA-seq in aerial and subterranean pegs highlighted the potential involvement of phytohormone signals in pegging. In addition, our findings suggest that auxin signal transduction pathways are crucial for gravity-regulated peg formation. This study provides new insights into the development of aerial and subterranean pegs in peanut at cell-type resolution, and could also serve as the basis for future investigation of the molecular mechanisms underlying cell maintenance and differentiation during pod formation.
Screening for Atrial Fibrillation in Older Adults in Primary Care: A Cross-Sectional Pilot Study in Qatar
Authors: Alnuaimi Ahmed Sameer , Ahmad Shahid , Abdulla Syed , Khan Babur , Ahmed Zaheer , Hameed Tahir , Syed Mohamed Ahmed
Published: January 2025

Background
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice, and its prevalence is increasing in aging populations. It is a leading cause of acute stroke, heart failure, sudden death, and other cardiovascular morbidities. AF is often asymptomatic and is frequently diagnosed late, typically after a patient presents with acute stroke. Early detection and treatment can prevent such life-threatening events, making AF screening a public health priority. However, diagnosing asymptomatic AF remains challenging. While international guidelines recommend AF screening, Qatar lacks documented prevalence data and formal screening programs. This study aimed to assess the feasibility of an AF screening program for older adults in Qatar.
Methods
A cross-sectional study was conducted among individuals aged ≥65 years registered with the Primary Health Care Corporation (PHCC)-Qatar, which serves approximately 70% of Qatar’s population. A simple random sample of 139 to 385 individuals was determined to ensure a sampling error of 5% to 3%, assuming a 10% AF prevalence. The participants underwent screening via standard ECG tracing that were reviewed independently by both the family physicians and a cardiologist.
Results
The prevalence of AF among the study population was 5.4%. Newly diagnosed cases accounted for 2% of the 249 participants screened. All newly detected patients had a CHA2DS2VASc scores indicating the need for anticoagulant therapy to reduce stroke risk. Furthermore, compared with cardiologists, the family physicians in primary care successfully identified 75% of AF cases through ECG.
Conclusions
If implemented nationally among individuals aged ≥65 years, the screening program could identify 747 undiagnosed AF cases among the 37,371. AF screening for individuals aged ≥75 years appears to offer a favorable cost‒benefit ratio, supporting the implementation of a targeted screening strategy in Qatar.
Understanding the Interplay Between Stress, Anxiety, and Depression and Their Impact on Health in Traffic Police Officers
Authors: Ramos-Galarza Carlos , Flores Fiamma , Argoti Taysha , Díaz-Guerra Diego , Hernández-Lugo Marena , Broche-Pérez Yunier
Published: January 2025

Background
Traffic police officers are frequently exposed to stress, anxiety, and depression, which adversely impact their health. This study hypothesized that these factors influence the hormonal, muscular, digestive, and cognitive systems of traffic police officers.
Methods
The sample comprised 146 traffic police officers (42 women and 104 men) aged 30 to 38. Gender differences in symptoms were examined, and model fit was assessed using indicators such as chi-square, comparative fit index, root mean square error of approximation (RMSEA), and standardized root means residual (SRMR).
Results
Gender differences were observed, with women reporting more significant issues related to muscular, hormonal, and cognitive symptoms. The models demonstrated a good fit, particularly in the model examining digestive symptoms.
Conclusions
The findings indicate a substantial impact of stress, anxiety, and depression on traffic police officers' health. Psychological support and monitoring are recommended at traffic police stations. The results align with previous research and underscore the need for targeted interventions to address the health challenges faced by these specialized police groups exposed to daily stressors.
Rhizobial plant probiotics enhance yield, heavy metal resistance, and impact the rhizosphere bacterial community in tomato (Solanum lycopersicum) under conventional agriculture system
Authors: Manzano-Gómez Luis Alberto , Rincón-Molina Clara Ivette , Stopol-Martínez Simón Samuel , Martínez-Romero Esperanza , Villalobos-Maldonado Juan José , Ruíz-Lau Nancy , Ruíz-Valdiviezo Víctor Manuel , Rincón-Rosales Reiner
Published: January 2025

Background and Aims
This study investigates the potential of native elite rhizobial strains Rhizobium sp. ACO-34A, Sinorhizobium mexicanum ITTG-R7T, and S. chiapasense ITTG-S70T to enhance tomato crop productivity under conventional open-field agricultural management. It evaluates their effects on yield, plant growth, nutrient uptake, and rhizosphere bacterial community dynamics.
Methods
Tomato plants were inoculated with rhizobial strains under conventional cultivation practices and compared to a control group treated with chemical fertilizers. Agronomic and biological parameters, nutrient content in plant tissue, and rhizosphere bacterial diversity (alpha and beta) were assessed. Soil properties were analyzed to determine their influence on plant and microbial performance.
Results
Inoculation with Rhizobium sp. ACO-34A resulted in a significant 2.6-fold increase in tomato yield compared to chemically fertilized controls. Enhanced fruit size, plant height, stem width, and dry weight were also observed. Additionally, inoculated plants showed a statistically significant reduction in Fe and Cu content in plant tissue. However, no substantial changes were detected in rhizosphere bacterial alpha or beta diversity, nor a significant association between soil properties and crop performance.
Conclusions
The findings suggest that the observed improvements in tomato productivity are primarily due to inoculation with native elite strains, particularly ACO-34A, rather than soil characteristics. This study underscores the potential of native rhizobial strains as sustainable biotechnological tools to boost crop productivity and support global sustainable agriculture.
Preoperative computed tomography guided coil versus suture hook-wire localization for multiple pulmonary nodules
Authors: Dou Yue , Song Hai-Hong , Shi Yi-Bing , Gao Yong-Guang , Bai Sheng-Jie
Published: January 2025

Background
Computed tomography (CT)-guided coil and suture hook-wire (SHW) insertion are widely employed for the preoperative localization of multiple pulmonary nodules (PNs). However, the comparative effectiveness and safety of these two techniques remain unclear. This study aimed to probe the clinical efficacy and safety of coil and SHW-based preoperative localization in patients with multiple PNs.
Methods
Patients with multiple PNs who underwent CT-guided coil or SHW localization prior to video-assisted thoracic surgery (VATS) resection between January 2020 and December 2024 were enrolled retrospectively. Localization outcomes and VATS-related parameters were compared.
Results
A total of 35 patients (76 PNs) in the coil group and 37 patients (81 PNs) in the SHW group were included. Technical success rates for localization were 100% in both groups. However, the mean duration of CT-guided localization was significantly shorter in the SHW group than in the coil group (24.0 ± 12.3 minutes vs. 29.3 ± 9.0 minutes, P = 0.042). Pneumothorax incidence rates were comparable between the coil and SHW groups (25.7% vs. 29.7%, P = 0.704). Both groups achieved 100% technical success rates for VATS limited resection, and all patients underwent successful one-stage multiple limited resections. The mean VATS duration (127.0 ± 42.2 minutes vs. 106.4 ± 66.3 minutes, P = 0.122) and median blood loss (25 ml vs. 50 ml, P = 0.152) were also similar in both groups.
Conclusions
Based on these results, both CT-guided coil and SHW localization strategies are safe and effective methods for the preoperative localization of multiple PNs. However, SHW localization offers a significant advantage in reducing procedure time compared to coil localization.
Performance Comparison of Text Weighting Schemas on NMF-Based Topic Analysis
Authors: Berber Tolga , Eriş Büyükkaya Melek
Published: January 2025

Nowadays, it is feasible to analyze text data that is being generated at an exponential rate by transforming it into a sparse matrix of big size using a certain weighting method. A comprehensive text weighting approach consists of three fundamental components: Term Frequency, Document Frequency, and Vector Normalization. The multiplication of these three components yields numerical values that indicate the significance of a word for a text. Nevertheless, the unprocessed state of these values is unsuitable for the semantic analysis of textual material. There are multiple techniques available for this objective, and Topic Analysis, which seeks to identify subjects discussed in extensive text collections, is one of these techniques. The Non-Negative Matrix Factorization (NMF) approach is commonly employed in topic analysis. It involves transforming an input matrix into the product of two or more matrices, using both random and deterministic beginning values. This study involved conducting tests on a dataset of 20,000 articles sourced from Wikipedia, the online encyclopedia, with the aim of investigating the impact of text weighting methods and initial value approaches commonly employed in the literature on the NMF method. The number of clusters to be used in the studies was determined using an analytical procedure, which employed an upper limit. The results indicate that the “lnc” and “nnc” weighting schemes yielded the highest performance in NMF. These findings demonstrate that employing the “lnc” or “nnc” weighting scheme will lead to more favorable outcomes in the domain of topic analysis.
Unleashing the Potential of Deep Learning Methods for Detecting Defective Expressions Using Hyperparameter Optimization Techniques
Authors: Suncak Atilla , Varlıklar Özlem
Published: January 2025

Natural Language Processing (NLP) has emerged remarkable progress in the field of deep learning studies. Not only a superior alternative to rule-based NLP methods, deep learning-based techniques have also succeeded more accurate performances in various NLP tasks such as text classification, sentiment analysis or document clustering. Since the performance of a deep learning model undoubtedly depends on adjusting its hyperparameters ideally, tuning the most optimum hyperparameters determines the capability of the model learning in terms of meaningful pattern extraction from the input data. In this paper, hyperparameter optimization techniques of Bayesian Optimization, Random Search and Grid Search have been applied on the deep learning models of Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) for the purpose of detecting defective expressions in Turkish sentences. The hyperparameters of previously implemented LSTM and CNN models for this purpose have been adjusted using trial-and-error approach, which is time-consuming and cannot guarantee the most ideal model in general. After these hyperparameters have been adjusted using optimization techniques, the performances in terms of accuracy have been increased from 87.94% to 92.82% and from 84.33% to 89.79% for the models of LSTM and CNN respectively.
X-Işını Görüntüleri Kullanılarak Omuz İmplantlarının Tespiti ve Sınıflandırılmasında YOLOv5 Modellerinin Performanslarının İncelenmesi
Authors: Baykal Kablan Elif
Published: January 2025

Total Omuz Artroplastisi (TOA), omuz eklemindeki hasara bağlı ağrı ve hareket kısıtlanması yaşayan hastalarda omuzun hasar görmüş kısmının protez implant ile değiştirildiği cerrahi işlemdir. Zamanla protez implantların aşınması veya zarar görmesi durumunda, protez üreticisi ve model bilgisine ihtiyaç duyulur, ancak tıbbi kayıtlardaki eksiklikler nedeniyle bu bilgiler genellikle belirsiz olabilmektedir. Bu nedenle, uzman kişiye bağımlılığı azaltarak hızlı ve doğru bir şekilde protez bilgilerini sağlayacak otomatik sistemlere ihtiyaç duyulmaktadır. Bu çalışmada, omuz implantı üreticilerinin X-ışını görüntüleri kullanılarak tespiti ve sınıflandırılması için otomatik bir sistem önerilmiştir. Sistemde YOLOv5n, YOLOv5s, YOLOv5m ve YOLOv5l modelleri kullanılarak implant baş bölgesi tespiti ve sınıflandırma işlemleri gerçekleştirilmiş ve elde edilen sonuçlar karşılaştırılmıştır. Veri dengesizliği nedeniyle bazı sınıfların diğerlerinden daha iyi temsil edildiği sınıf ağırlıklandırma tekniği de kullanılmıştır. Bu tekniğin modelin sınıflandırma performansını önemli ölçüde artırdığı tespit edilmiştir. Karşılaştırma sonucunda sınıf ağırlıklandırmalı YOLOv5l modelinin mAP@0.5, mAP@0.5:0.95, kesinlik, duyarlılık ve F1-ölçütü değerlerinde en yüksek performansı gösterdiği görülmüştür ve bu değerler sırasıyla 98.3, 85.9, %97.0, %95.7 ve %96.3 olarak elde edilmiştir. Önerilen YOLOv5l modeli, literatürdeki diğer hibrit makine öğrenmesi yaklaşımlarına göre düşük maliyetli ve yüksek performanslı bir çözüm sunmaktadır. Bu sayede, YOLOv5 modellerinin omuz implantlarının tespit ve sınıflandırmasında değerli bir araç olarak etkinliği gösterilmiştir. Ayrıca, önerilen sistem sayesinde radyologlar ve cerrahlar için verimli ve güvenilir analiz süreçleri sunulması ve iş yükünün azaltılması beklenmektedir.
2024 State Flood Plan: History in the Making
Authors: Texas Water Development Board
Published: January 2025

In August 2024, the Texas Water Development Board adopted the 2024 State Flood Plan, providing the first-ever comprehensive statewide assessment of flood risk and solutions to reduce the risk and impact to life and property due to flooding. The plan incorporates the findings of 15 watershed-based regional flood plans and includes legislative and floodplain management recommendations to guide state, regional, and local flood control policy to reduce the risk and impact of flooding. Senate Bill 8, 86th Texas Legislature (2019), created the regional and state flood planning process modeled after the bottom-up regional and state water planning process. The Texas Water Development Board will produce a new state flood plan every 5 years based on the flood planning groups’ regional plans. This article provides a summary of the 2024 State Flood Plan, and the content is heavily sourced from the published plan.
Codebase release 1.1 for QDsim
Authors: Gualtieri Valentina , Renshaw-Whitman Charles , Hernandes Vinicius , Greplova Eliska
Published: January 2025

We introduce QDsim, a Python package tailored for the rapid generation of charge stability diagrams in large-scale quantum dot devices, extending beyond traditional double or triple dots. QDsim is founded on the constant interaction model from which we rephrase the task of finding the lowest energy charge configuration as a convex optimization problem. Therefore, we can leverage the existing package CVXPY, in combination with an appropriate powerful solver, for the convex optimization which streamlines the creation of stability diagrams and polytopes. Through multiple examples, we demonstrate how QDsim enables the generation of large-scale dataset that can serve a basis for the training of machine-learning models for automated tuning algorithms. While the package currently does not support quantum effects beyond the constant interaction model, QDsim is a tool that directly addresses the critical need for cost-effective and expeditious data acquisition for better tuning algorithms in order to accelerate the development of semiconductor quantum devices.
PHONETIC AND COGNITIVE DEVELOPMENT IN BILINGUAL TWINS: A FORENSIC PHONETICS APPROACH TO FRENCH AND MAURITIAN CREOLE
Authors: Sookara-Ramchurn Deepa , Rajiah Saraswatee
Published: January 2025

Growing up with two languages also has different ways by which the developmental of speech and cognitive abilities are affected. Bilingualism is associated with different factors such as Problem solving is sharpened, Memory enhanced and an improvement in mental flexibility is also experienced. This paper describes how twins acquire and interact with two languages and examines forensic phonetics in understanding phonetic transfer and interference between the two languages. Same-sex siblings such as twins are especially suitable for research on bilingual acquisition because of the similarities in genetics and the early environment that cause differences in language. This research contributes to the understanding of childrens language acquisition and the phonetic frameworks of bilingual contexts as applied to educational practices, speech-language therapy, and forensic linguistic analysis. Last of all, this work underlines the significance of environmental as well as cognitive factors for twins with regards to Language development earlier suggested that bilingualism and forensic phonetics could gain a lot of impulse from more in-depth studies of language acquisition in twins it is suggested that bilingualism and forensic phonetics might be among the several areas that will benefit if more attention is paid to the analysis of twins.
A QUALITATIVE STUDY TO EARLY CHILDHOOD LANGUAGE ACQUISITION IN BILINGUAL TWINS: A FORENSIC PHONETICS ANALYSIS OF SPEECH PATTERNS IN FRENCH AND MAURITIAN CREOLE AMONG CHILDREN AGED 4-8 YEARS OLD
Authors: Sookara-Ramchurn Deepa , Rajiah Saraswatee
Published: January 2025

This paper focuses on bilingual twins it compares and contrasts their responses with or without phonological awareness, cultural preference, and personal choice on specific stimuli. Employing a clearly defined approach, data were gathered and processed to reveal the impact of bilingualism on language development and learning ability. The results imply that bilingual twins have distinct, language acquisition patterns that depend on sociocultural environment and interpersonal communication as supported by current theoretical accounts of bilingualism and cognitive development.
EXAMINING CULTURAL CONFLICT: IDENTITY AND TRANSFORMATION IN GIRISH KARNADS NAGA-MANDALA
Authors:   Assistant Professor Chhatrapati Shahu Ji Maharaj University Kanpur, India., Kumar Laxman
Published: January 2025

Naga-mandalais a compelling exploration of cultural conflict, identity, and transformation within the socio-cultural framework of India. The play interweaves traditional folk narratives with contemporary existential dilemmas, offering a nuanced commentary on gender dynamics, societal norms, and individual agency. The tale of Rani, a young woman trapped in a patriarchal marriage, serves as a lens to examine the intricate interplay of cultural traditions and personal identity. Her transformative journey, shaped by mythological elements like the mystical serpent (naga), underscores the tension between rigid societal expectations and the fluidity of human identity.Karnad employs folklore as a narrative device to critique oppressive structures and highlight the potential for personal and collective transformation. The magical realism in Naga-mandala bridges the chasm between myth and reality, allowing for a reimagining of cultural identity that transcends traditional binaries of male and female, individual and community. The play also raises critical questions about the construction of gender and the evolving roles within familial and societal contexts.The present paper examines how Naga-mandala portrays the complexities of cultural identity as both a personal and collective construct, highlighting the conflicts that arise from societal rigidity and individual aspirations. Through its layered narrative, the play challenges audiences to rethink the narratives that define cultural and personal identities, urging a broader acceptance of transformation and hybridity in a globalized context.
RESEARCH ON THE EXPORT OF GOODS TO THE US MARKET BY SEA TRANSPORT IN VIETNAM
Authors:   Thang Long University., Thi Van Nga Nguyen , Minh Hanh Pham ,   Thang Long University., Ba Hoai Vu Nguyen ,   Thang Long University., Thi Thuy Trang Nguyen ,   Thang Long University.
Published: January 2025

This article comprehensively researches the export of goods to the US market by sea transport mode of Vietnam. Conducting research, collecting, analyzing and evaluating statistics related to the export of goods to the US market by Vietnams sea transport mode. Thereby, clarifying the current situation, assessing strengths, weaknesses, challenges and opportunities to develop this activity in Vietnam. A few recommendations on the development of green logistics, digital transformation, and smart ports were made to promote the export of goods to the US market by Vietnams sea transportation mode.
THE FUTURE DEVELOPMENT AND PRACTICE OF LAW BASED ON DIGNIFIED JUSTICE
Authors:   Faculty of Law, Universitas Prima Indonesia, Medan, Indonesia., Mulyadi Mulyadi , Prasetyo Teguh ,   Faculty of Law, Universitas Pelita Harapan, Tangerang, Indonesia.
Published: January 2025

The theory of Dignified Justice (KeadilanBermartabat) offers a philosophical and practical framework for understanding and advancing Indonesias legal system. Rooted in Pancasila, it emphasizes the alignment of legal principles with Indonesias cultural and philosophical identity, aiming to humanize individuals (nguwongkeuwong) while fostering justice, utility, and certainty. This theory addresses gaps in existing legal practices and theories, proposing a holistic approach that integrates ethical reasoning and interdisciplinary methods in legal processes. It highlights the importance of balancing state development goals with the protection of individual rights, advocating for law as a regulator and stabilizer in societal and legal reforms. By exploring judicial decisions, legislation, and legal philosophy, Dignified Justice provides actionable insights for building a just, equitable, and humane legal system. This abstract reflects on its potential to navigate modern challenges such as corruption and social injustice while aligning legal practice with Pancasilas values for societal harmony and sustainability.
VISUAL INFUSION PHLEBITIS (VIP) SCORE FOR ASSESSING VENFLON-RELATED COMPLICATIONS: A PROSPECTIVE OBSERVATIONAL STUDY
Authors: Marimuthu Marimuthu , Muniasmy Muniasmy , Barathiraja Barathiraja , Venkatesh Venkatesh
Published: January 2025

Background: Peripheral vein cannulation is essential in clinical care but often results in complications like phlebitis, which can lead to severe outcomes such as cellulitis, septicemia, or deep vein thrombosis (DVT). This study evaluates venflon-related complications using the Visual Infusion Phlebitis (VIP) score.

Aim: To analyse the incidence of phlebitis and assess the VIP scores utility in detecting early-stage complications.

Methods: A prospective study was conducted on 1,083 patients over one year (September 2023â€“August 2024) at Thanjavur Medical College,Thanjavur,Tamilnadu,India.VIP scores were used to monitor signs of phlebitis.

Results: Out of 1,083 venflon insertions, 744 (68.7%) cases of phlebitis were recorded, with females showing a higher incidence (71.8%) compared to males (64%). Most cases had a VIP score of 1, representing mild symptoms.

Conclusion: Regular monitoring using VIP scores and adherence to preventive measures significantly reduces venflon-related complications.
Pengelolaan Stakeholder dalam Pendidikan Islam
Authors: Muhamad Sidik Asep Hilmi , Mulyawan Mulyawan
Published: January 2025

Abstract: Pendidikan merupakan sesuatu yang paling penting untuk mencetak generasi yang akan datang dalam kemajuan negara melalui keilmuan yang dihasilkan. Manusia dalam menjalani kehidupan tidak bisa dilepaskan dengan lingkungan Pendidikan. Pendidikan tersebut kaitan erat dengan lingkungan keluarga, seoklah dan Masyarakat. Dimana ketiga komonen tersebut sangat berkaitan erat dalam mencetak dan mewujudkan Pendidikan yang sehat dan berkualitas. Dalam Pendidikan tentunya memiliki proses kehidupan yang Panjang dan kompleks. Manajemen Pendidikan tentunya berhubungan erat dengan stakeholders Pendidikan untuk meningkatkan sumber daya manusia yang  memiliki kualitas dan bermutu tinggi. Tujuan dari pembahasan ini tentunya untuk mengetahui stakeholders dalam Pendidikan islam di dalam realitas Masyarakat muslim dewasa kini, menegetahui perkembangan Masyarakat globa, mengetahui kompetensi lulusan Pendidikan islam yang dibutuhkan dan mengetahui rancangan kompetensi lulusan. Kata kunci: : Stakeholders, Pendidikan dan Islam
Analisis Manajemen Strategik
Authors: Azmi Ulul , Yadi Sumrah , Zubairi Zubairi , Maftuhah Maftuhah , Zahruddin Zahruddin
Published: January 2025

Strategic management is the science and art of planning, implementing, evaluating every decision of organization that can enable performance to meet targets and get goals. This research aims to describe strategic management which includes planning, implementation and evaluation of strategies at SDIT Citra Az-Zahra West Jakarta. The research approach and methods use descriptive qualitative using data collection through literature studies, documentation, documentation. Data analysis are carried out by collect of data, reduce of data, present of data, and draw of conclusions. Meanwhile, data validity use data and method and source triangulation. The results of research strategic management research at SDIT Citra Az-Zahra include several activities, namely planning including formulating vision, mission and goals, identifying internal and external factors, determining superior strategies, short until long-term planning. Strategic implementation is determining school policies which include government policies and the school's own policies, motivating educators and education staff by providing several awards, human resources allocated, and school culture. Strategic evaluation includes monitoring of plan and implementation, individual and school performance measured, and improvement steps taked.