bluuebunny/crossref_metadata_2025_split huggingface dataset:
KREASI PRODUK OLAHAN SAYUR SEBAGAI UPAYA PENINGKATAN USAHA DI DESA SEMPOL KECAMATAN PAGAK KABUPATEN MALANG
Authors: Ulfa Nanik , Zain Novi Nurindah , Ma’ruf Muh Farid , Diana Linda Chusnu 
Published: August 2023

Tanaman sawi merupakan tanaman yang memiliki berbagai manfaat untuk menjadi konsumsi keluarga. Sawi mampu sebagai sumber antioksidan, detoksifikasi tubuh, menjaga sistem imun tubuh, mengontrol kadar kolesterol, mampu menurunkan berat badan, dan mencegah kanker. Selain itu, kelompok tani menginginkan adanya inovasi produk terhadap hasil sawi yang mereka panen. Hal ini disebabkan oleh anak-anak masyarakat Sempol yang sulit untuk mengonsumsi sayur. Selain itu, inovasi produk olahan sayur sawi juga mampu meningkatkan nilai jual tanaman sawi. Melihat adanya potensi tersebut, produk inovasi stik sawi Kelurahan Sempol cocok untuk dikembangkan hingga menjadi sebuah potensi wirausaha baru. Metode yang diterapkan pada pemberdayaan kewirausahaan masyarakat melalui metode ESD. Metode ESD mampu memberikan kesadaran dan dorongan agar berpikir kreatif serta konstruktif. Metode ini diharapkan masyarakat mampu menghadapi tantangan global serta menciptakan masyarakat yang tangguh dan mandiri secara berkelanjutan.
Empowering Pharmacovigilance: Unleashing the Potential of Generative AI in Drug Safety Monitoring
Authors: Praveen John 
Published: August 2023

Pharmacovigilance plays a crucial role in ensuring drug safety and promoting patient well-being throughout the life cycle of medicinal products. However, this field faces several challenges, including underreporting of adverse events, data quality issues, and the complexity of signal detection in large datasets. To address these challenges and enhance drug safety monitoring, there is a growing interest in harnessing the potential of generative artificial intelligence (AI) techniques. This article explores the applications and implications of generative AI in pharmacovigilance. It provides an overview of popular generative models and their working principles, highlighting their ability to analyse drug databases, medical literature, and real-world data sources to identify drug-drug interactions, adverse events, and potential safety signals. Moreover, it emphasizes the importance of human validation and expert oversight in interpreting and acting on the insights generated by generative AI algorithms. The integration of generative AI with traditional pharmacovigilance methods creates a synergistic approach, combining the computational power of AI with human expertise. This integration can lead to improved signal detection, efficient case report generation, proactive risk assessment, and optimized resource allocation. Additionally, the article addresses challenges related to data quality, interpretability, and model validation in generative AI applications, emphasizing the need for standardized protocols and collaborative efforts among stakeholders. Overall, the potential of generative AI in pharmacovigilance is vast. By leveraging its capabilities, we can enhance drug safety monitoring, facilitate early detection of adverse events, and improve patient outcomes. However, it is crucial to address ethical considerations, ensure data privacy, and maintain human oversight to foster responsible and effective implementation of generative AI in pharmacovigilance practices.
Dietary Consumption Practices and Its Associated Factors among Type 2 Diabetes Patients in Pokhara Metropolitan
Authors: Kumar Yadav Dipendra , Kumar Yadav Rajesh , Baral Sarmila , Baral Sushila , Banstola Pragya , Paudel Sulaksha 
Published: August 2023

Introduction: Diabetes mellitus is a major worldwide public health problem. A healthy diet has been the best measure for preventing the diabetic condition of patients. This study aimed to assess the dietary practice and its associated factors among type 2 Diabetes Patients in Pokhara Metropolitan.
Methods: A health facility-based cross-sectional study was conducted among 390 diabetic patients in Pokhara, Nepal. A proportionate sequential sampling technique was used to make the sample representative from four different health facilities. A structured questionnaire was used to collect the data and food measurement for daily energy intake was calculated. The P-value of <0.05 was considered as a cut-off for statistical significance.
Results: This study revealed that more than half (55.6%) of participants were female. Nearly three-fifths (57.2%) of participants were overweight and 16.2% were obese. In this study, 49.5% of diabetic patients had adequate calories and 37.4% had good dietary practice. The study showed that the variables like family type, type of oil used, BMI, and duration of diabetes mellitus were associated with food consumption practices among type 2 diabetic patients.
Conclusion: Findings of this study indicated that nearly two third of the patients had poor dietary practices. Family type, the oil used, duration of diabetes and BMI level were associated factors for the dietary practices among type 2 diabetes patients. Nutrition education and counseling on healthy dietary practices among newly diagnosed diabetes patients and malnourished by BMI measurement need to be emphasized by health workers while providing health care services to diabetes patients.
Fecal Carriage of Multi-drug Resistant Escherichia coli in Healthy Children: a Community-based Study
Authors: Sharma Asmita , Gurung Purnakala , Devkota Sirjana , Ghimire Sunita , Chapagain Bipin 
Published: August 2023

Introduction: Escherichia coli is enteric Gram-negative bacilli, earlier recognized as non-invasive commensal. Invasive strains of E. coli have been identified and are associated with a variety of human infections. Increasing drug resistance among E. coli has been reported. Multidrug resistance is the ability of an organism to resist at least one agent in three or more antimicrobial categories. The aim of this study was to detect fecal carriage of MDR E. coli isolates among healthy school children.
Methods: A total of 139 stool samples were collected from Rastriya Secondary School, Purano Tudikhel, Pokhara-1. Isolation, identification, and Antibiotic susceptibility test pattern of E. coli isolates were done by standard microbiological techniques. Further Extended Spectrum Beta-Lactamase test was performed by Combined Disc Test and data analysis was done by using Microsoft Excel.
Results: A total of 106 E. coli were isolated from the stool samples. MDR E. coli were found to be 8 (7.55%) and 7 E. coli isolates were resistant to Ceftazidime which was further tested for ESBL and 5 isolates were found to be ESBL producers. The resistance of E. coli to Ampicillin, Nitrofurantoin, Ceftriaxone, Ceftazidime, Ciprofloxacin, and Gentamicin was 27.36%, 43%, 10.38%, 6.60%, 6.60%, and 2.83% respectively. Only one isolate was resistant to all antibiotics used except Imipenem.
Conclusion: E. coli is the main Gram-negative bacteria isolated from the stool sample and identified as the main carrier of antimicrobial resistance in species comparison of Enterobacteriaceae isolated from fecal samples. Therefore, quick surveillance is needed in order to effectively handle such MDR strains. The E. coli population susceptible to all antibiotics used was a much more diverse group than the resistant and ESBL-producing E. coli.
Penurunan Surface Roughness Hasil Pembubutan Rata Baja ST 42 Akibat Pengaruh Variasi Sudut Potong Pahat Dan Kecepatan Spindle Mesin Bubut
Authors: I Gede Wiratmaja  , I Nyoman Pasek Nugraha  , I Gede Ari Saputra  
Published: August 2023

The purpose of this study was to determine the ratio of surface roughness in ST 42 steel with cutting angles of , , and at speeds of 490 Rpm and 700 Rpm. This method uses an experimental method with independent variables, namely cutting angle and spindle speed and bound variables, namely surface roughness in ST 42 steel. To test the surface roughness results using the surface roughness tester tool, which obtained the average value of surface roughness at a tool cutting angle of with a speed of 490 Rpm of 2.848 μm, a cutting angle of of 2.530 μm and a cutting angle of of 2.423 μm. At a speed of 700 Rpm at a cutting angle of of 2.439 μm, a cutting angle of of 2.179 μm and a cutting angle of of 2.048 μm. From these data, it can be concluded that there is an influence on the variation of the cutting angle of the lathe tool and spindle speed on the surface roughness value of steel ST 42.Where at the spindle speed of the lathe 700 Rpm at the cutting angle of the lowest surface roughness value is obtained
The time course of visual foraging in the lifespan: Spatial scanning, organization search, and target processing
Authors: Bella-Fernández Marcos , Suero Suñé Manuel , Gil-Gómez de Liaño Beatriz 
Published: August 2023

AbstractVisual foraging is a variant of visual search, consisting of searching for an undetermined number of targets among distractors (e.g., looking for various LEGO pieces in a box). Under non-exhaustive tasks, the observer scans the display, picking those targets needed, not necessarily all of them, before leaving the search. To understand how the organization of such natural foraging tasks works, several measures of spatial scanning and organization have been proposed in the exhaustive foraging literature: best-r, intertarget distances, PAO, and target intersections. In the present study, we apply these measures and new Bayesian indexes to determine how the time course of visual foraging is organized in a dynamic non-exhaustive paradigm. In a large sample of observers (279 participants, 4–25 years old), we compare feature and conjunction foraging and explore how factors like set size and time course, not previously tested in exhaustive foraging, might affect search organization in non-exhaustive dynamic tasks. The results replicate previous findings showing younger observers’ searching being less organized, feature conditions being more organized than conjunction conditions, and organization leading to a more effective search. Interestingly, observers tend to be less organized as set size increases, and search is less organized within a patch as it advances in time: Search organization decreases when search termination is coming, suggesting organization measures as potential clues to understand quitting rules in search. Our results highlight the importance of studying search organization in foraging as a critical source of understanding complex cognitive processes in visual search.
Resting Stroop task: Evidence of task conflict in trials with no required response
Authors: Hershman Ronen , Dadon Gal , Kiesel Andrea , Henik Avishai 
Published: August 2023

AbstractIn the typical Stroop task, participants are presented with color words written in different ink colors and are asked to respond to their color. It has been suggested that the Stroop task consists of two main conflicts: information conflict (color vs. word naming) and task conflict (respond to color vs. read the word). In the current study, we developed a novel task that includes both Response trials (i.e., trials in which a response is required) and Rest trials (i.e., trials in which no response is required or available) and investigated the existence of both information and task conflicts in Rest trials. We found evidence for task conflict in Response and also in Rest trials, while evidence for information conflict was only observed in Response trials. These results are in line with a model of task conflict that occurs independently of and prior to information conflict in the Stroop task.
e-Babylab: An open-source browser-based tool for unmoderated online developmental studies
Authors: Lo Chang Huan , Hermes Jonas , Kartushina Natalia , Mayor Julien , Mani Nivedita 
Published: August 2023

AbstractThe COVID-19 pandemic massively changed the context and feasibility of developmental research. This new reality, as well as considerations about sample diversity and naturalistic settings for developmental research, highlights the need for solutions for online studies. In this article, we present e-Babylab, an open-source browser-based tool for unmoderated online studies targeted for young children and babies. e-Babylab offers an intuitive graphical user interface for study creation and management of studies, users, participant data, and stimulus material, with no programming skills required. Various kinds of audiovisual media can be presented as stimuli, and possible measures include webcam recordings, audio recordings, key presses, mouse-click/touch coordinates, and reaction times. An additional feature of e-Babylab is the possibility to administer short adaptive versions of MacArthur–Bates Communicative Development Inventories (Chai et al. Journal of Speech, Language, and Hearing Research, 63, 3488-3500, 2020). Information pages, consent forms, and participant forms are customizable. e-Babylab has been used with a variety of measures and paradigms in over 12 studies with children aged 12 months to 8 years (n = 1516). We briefly summarize some results of these studies to demonstrate that data quality, participant engagement, and overall results are comparable between laboratory and online settings. Finally, we discuss helpful tips for using e-Babylab and present plans for upgrades.
Interindividual variations in associative visual learning: Exploration, description, and partition of response characteristics
Authors: Brandner Catherine , Raynal Elsa , Ruggeri Paolo 
Published: August 2023

AbstractRelying on existing literature to identify suitable techniques for characterizing individual differences presents practical and methodological challenges. These challenges include the frequent absence of detailed descriptions of raw data, which hinders the assessment of analysis appropriateness, as well as the exclusion of data points deemed outliers, or the reliance on comparing only extreme groups by categorizing continuous variables into upper and lower quartiles. Despite the availability of algorithmic modeling in standard statistical software, investigations into individual differences predominantly focus on factor analysis and parametric tests. To address these limitations, this application-oriented study proposes a comprehensive approach that leverages behavioral responses through the use of signal detection theory and clustering techniques. Unlike conventional methods, signal detection theory considers both sensitivity and bias, offering insights into the intricate interplay between perceptual ability and decision-making processes. On the other hand, clustering techniques enable the identification and classification of distinct patterns within the dataset, allowing for the detection of singular behaviors that form the foundation of individual differences. In a broader framework, these combined approaches prove particularly advantageous when analyzing large and heterogeneous datasets provided by data archive platforms. By applying these techniques more widely, our understanding of the cognitive and behavioral processes underlying learning can be expedited and enhanced.
Speed and Acceleration of Coronal Mass Ejections Associated with Sustained Gamma-Ray Emission Events Observed by Fermi/LAT
Authors: Mäkelä Pertti , Gopalswamy Nat , Akiyama Sachiko , Xie Hong , Yashiro Seiji 
Published: August 2023

Abstract
The sustained gamma-ray emission (SGRE) from the Sun is a prolonged enhancement of >100 MeV gamma-ray emission that extends beyond the flare impulsive phase. The origin of the >300 MeV protons resulting in SGRE is debated, with both flares and shocks driven by coronal mass ejections (CMEs) being the suggested sites of proton acceleration. We compared the near-Sun acceleration and space speed of CMEs with “Prompt” and “Delayed” (SGRE) gamma-ray components. We found that “Delayed”-component-associated CMEs have higher initial accelerations and space speeds than “Prompt Only”-component-associated CMEs. We selected halo CMEs (HCMEs) associated with type II radio bursts (shock-driving HCMEs) and compared the average acceleration and space speed between HCME populations with or without SGRE events, major solar energetic particle (SEP) events, metric, or decameter-hectometric (DH) type II radio bursts. We found that the SGRE-producing HCMEs associated with a DH type II radio burst and/or a major SEP event have higher space speeds and especially initial accelerations than those without an SGRE event. We estimated the radial distances and speeds of the CME-driven shocks at the end time of the 2012 January 23 and March 7 SGRE events using white-light images of STEREO Heliospheric Imagers and radio dynamic spectra of Wind WAVES. The shocks were at the radial distances of 0.6–0.8 au and their speeds were high enough (≈975 km s−1 and ≈750 km s−1, respectively) for high-energy particle acceleration. Therefore, we conclude that our findings support the CME-driven shock as the source of >300 MeV protons.
Shadow Geometry of Kerr Naked Singularities
Authors: Nguyen Bao , Christian Pierre , Chan Chi-kwan 
Published: August 2023

Abstract
Direct imaging of supermassive black holes (SMBHs) at event horizon-scale resolutions, as recently done by the Event Horizon Telescope, allows for testing alternative models to SMBHs such as Kerr naked singularities (KNSs). We demonstrate that the KNS shadow can be closed, open, or vanishing, depending on the spins and observational inclination angles. We study the critical parameters where the KNS shadow opens a gap, a distinctive phenomenon that does not happen with the black hole shadow. We show that the KNS shadow can only be closed for dimensionless spin a ≲ 1.18 and vanishing for a ≳ 1.18 for certain ranges of inclination angles. We further analyze the effective angular momentum of photon orbits to demonstrate the fundamental connections between light geodesics and the KNS shadow geometry. We also perform numerical general relativistic ray-tracing calculations, which reproduce the analytical topological change in the KNS shadow, and illustrate other observational features within the shadow due to the lack of an event horizon. By comparing the geometric features of the KNS shadow with black hole shadow observations, the topological change in the shadow of KNSs can be used to test the cosmic censorship hypothesis and KNSs as alternative models to SMBHs.
NuSTAR Observations of Abell 665 and 2146: Constraints on Nonthermal Emission
Authors: Rojas Bolivar Randall A. , Wik Daniel R. , Tümer Ayşegül , Gastaldello Fabio , Hlavacek-Larrondo Julie , Nulsen Paul , Vacca Valentina , Madejski Grzegorz , Sun Ming , Sarazin Craig L. , Sanders Jeremy , Caprioli Damiano , Grefenstette Brian , Westergaard Niels-Jorgen 
Published: August 2023

Abstract
Observations from past missions such as RXTE and Beppo-SAX suggested the presence of inverse Compton (IC) scattering at hard X-ray energies within the intracluster medium of some massive galaxy clusters. In subsequent years, observations by, e.g., Suzaku, and now NuSTAR, have not been able to confirm these detections. We report on NuSTAR hard X-ray searches for IC emission in two massive galaxy clusters, A665 and A2146. To constrain the global IC flux in these two clusters, we fit global NuSTAR spectra with three models: single (1T) and two-temperature (2T) models, and a 1T plus power-law component (T+IC). The temperature components are meant to characterize the thermal ICM emission, while the power law represents the IC emission. We find that the 3–30 keV A665 and 3–20 keV A2146 spectra are best described by thermal emission alone, with average global temperatures of kT = (9.15 ± 0.1) keV for A665 and kT = (8.29 ± 0.1) keV for A 2146. We constrain the IC flux to F
NT <0.60 × 10−12 erg s−1 cm−2 and F
NT < 0.85 × 10−12 erg s−1 cm−2 (20–80 keV) for A665 and A2146, respectively both at the 90% confidence level. When we couple the IC flux limits with 1.4 GHz diffuse radio data from the VLA, we set lower limits on the average magnetic field strengths of >0.14 μG and >0.011 μG for A665 and A2146, respectively.
Study of the Spiral Structure in Galaxies with Multiple Arms: A Preliminary Analysis in NGC 1084 and NGC 3464
Authors: Diaz-Fonseca J. M. , Vera-Villamizar N. , Valderrama-Vergara J. A. , Tejada N. Poveda 
Published: August 2023

Abstract
We performed a morphological analysis of the spiral structure in two specific galaxies: NGC 1084 and NGC 3464. The main objective of this research is to gain a deeper understanding of the distribution of the spiral structure in disk galaxies by studying their spiral patterns. We applied the two-dimensional fast Fourier transform method and conducted a detailed review of the Fourier spectra and radial density functions (RDFs) to analyze their patterns and characteristics. The initial results reveal that the main modes in the distribution of the spiral arms are m = 1 and m = 2, indicating symmetry. Additionally, specific areas in the RDF are detected where other modes, such as m = 3 and m = 4, exhibit higher relevance, indicating the presence of multiple spiral structures (bifurcations or segments).
New Post-DART Collision Period for the Didymos System: Evidence for Anomalous Orbital Decay
Authors: Gudebski Taylor , Heldridge Elisabeth , McGawn Brady , Hill Elle O , Swift Jonathan J. , Zhou Henry 
Published: August 2023

Abstract
On 2022 September 26, NASA’s DART spacecraft impacted Dimorphos, the secondary asteroid in the (65803) Didymos system, so that the efficiency with which a satellite could divert an asteroid could be measured from the change in the systems period. We present new data from the Thacher Observatory and measure a change in period, ΔP = − 34.2 ± 0.1 minutes, which deviates from previous measurements by 3.5σ. This suggests that the system period may have decreased by ∼1 minute in the 20–30 days between previous measurements and our measurements. We find that no mechanism previously presented for this system can account for this large of a period change, and drag from impact ejecta is an unlikely explanation. Further observations of the (65803) Didymos system are needed to both confirm our result and to further understand this system post impact.
Baseline and Post-NACT Imaging in Retinoblastoma With Optic Nerve Involvement: Can MRI Predict Prognosis?
Authors: Chiranthan Madhu , Meel Rachna , Bakhshi Sameer , Sharma Sanjay , Lomi Neiwete , Kashyap Seema , Bajaj Mandeep S. 
Published: August 2023

Purpose:
To describe a staging system for optic nerve invasion using magnetic resonance imaging (MRI) and report any correlation with survival outcome.

Methods:
This was a ambispective study. Twenty-one patients with retinoblastoma who had optic nerve involvement on MRI were staged at baseline based on contrast enhancement and/or thickening and length of involvement. Response to neoadjuvant chemotherapy (NACT) was noted according to proposed response evaluation criteria and results were correlated with survival outcome.

Results:

Baseline MRI staging was able to predict event-free survival (EFS) (
P
= .0015) using the log-rank test for trends. Patients with optic nerve enhancement alone showed 100% survival prognosis. Optic nerve thickening cases with complete or partial response to NACT showed better EFS (
P
> .90) than those with stable disease according to response evaluation criteria.

Conclusions:
The modified staging system for optic nerve invasion used in the current study significantly predicted EFS. The study also showed that response to NACT may be affected by baseline staging. The authors recommend that cases with optic nerve enhancement only, irrespective of the length of involvement (stage 0), may be treated with upfront enucleation. Cases with optic nerve thickening may be staged to evaluate the correlation with survival outcome in a larger cohort in future studies.

[
J Pediatr Ophthalmol Strabismus
. 2024;61(2):98–105.]