bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minimally invasive approach of paediatric neuroblastoma with thoracic vascular encasement
Authors: Pio Luca , Zaghloul Tarek , Abdelhafeez Abdelhafeez Hafeez 
Published: October 2023

Abstract
Neuroblastoma (NB) is the most frequent paediatric extracranial solid tumour. The surgical management of these tumours in newborns changed recently, performing resections in cases with tumour size increase after birth. Minimally invasive procedures were mostly reported in cases without pre-operative image-defined risk factors (IDRFs), defined by vascular and organ involvement. Thoracoscopic resection represents a minority of the overall surgical procedures for neuroblastic tumour management, as the posterior mediastinum is one of the least frequent locations of NB. A thoracoscopic resection was performed on a 22-month-old child with a NB encasing the aorta and a 6-month-old child with the encasement of the left subclavian and vertebral artery. A step-by-step minimally invasive procedure was described, highlighting anatomical landmarks and dissection techniques. The described technique was performed in 130 min. Thoracoscopic resection provided a macroscopic resection without surgical complications and patient was discharged on the 3rd post-operative day. The study shows a feasible and safe thoracoscopic approach for paediatric thoracic NB with IDRFs.
Autism Spectrum Disorder Classification Using Machine Learning and Deep Learning- A Survey
Authors: S R Reeja , Mounika Sunkara 
Published: October 2023

Modern, highly developed technology has impacted reputable procedures in the medical and healthcare industries. Smart healthcare prediction to the senior sick patient is not only for quick access to data but also to get dependable treatment in an accurate prediction by healthcare service provider. smart health prediction helps in the identification of numerous diseases. Based on patient experience, Deep learning technology provides a robust application space in the medical sector for health disease prediction problems by applying deep learning techniques to analyze various symptoms. In order to classify things and make precise predictions about diseases, deep learning techniques are utilized. people's health will be more secure, medical care will be of a higher caliber, and personal information will be kept more secret. As deep learning algorithms become more widely used to construct an interactive smart healthcare prediction and evaluation model on the basis of the deep learning model, CNN is upgraded. Advanced deep learning algorithms combined with multi-mode approaches and resting-state functional magnetic resonance represent an innovative approach that researchers have taken. A DL structure for the programmed ID ASD using highlights separated from the corpus callosum and cerebrum volume from the Stand dataset is proposed. Imaging is used to reveal hidden diseased brain connectome patterns to find diagnostic and prognostic indicators.
Identifying the optimal phenological period for discriminating subtropical fruit tree crops using multi-temporal Sentinel-2 data and Google Earth Engine
Authors: Chabalala Yingisani , Adam Elhadi , Ali Khalid Adem 
Published: October 2023

The accurate and appropriate monitoring of the spatial distribution of fruit tree crops is crucial for crop management and yield forecasting. Owing to both inter- and intra-farm fragmentation and overlapping phenological cycles, the classification of fruit tree crops in subtropical agriculture using single-date images is challenging. Therefore, this research aimed to identify the optimal temporal window in which the crucial phenological stages can be used to classify fruit tree crops in Levubu, Limpopo province, using a random forest (RF) classifier. Phenological metrics were extracted from 12-month Multispectral Instrument (MSI) images from Sentinel-2 (S2). The RF classification algorithm attained an overall accuracy of 84.89% and a kappa coefficient of 83%. The user accuracy ranged from 62 to 100%, while the producer accuracy ranged from 60 to 100%. An analysis of variance was used to assess whether the overall accuracies among the S2 monthly composites were statistically significant. The results showed distinct spectral differences between fruit trees. In April, there were differences observed during the harvesting and senescence of the mango and macadamia nut crops. In May, there were differences observed during the senescence of the macadamia nut, mango, and guava crops. In June and July, there were distinct spectral differences during the peak flowering stage of the avocado, macadamia nut, and mango crops, as well as in the fruiting stage of the banana crops. Followed by the red-edge bands, the shortwave infrared bands were significant in differentiating between the respective fruit tree crops. The results of this research provide evidence-based information that can assist farm managers and horticulturists in making informed decisions. This is critical in achieving effective agricultural management and in ensuring the sustainability of local horticultural systems.
Pengaruh Persepsi Kemudahan, Manfaat, Kepercayaan, dan Promosi terhadap Minat Masyarakat Kota Samarinda Menggunakan Layanan Online pada Pelanggan Ojek
Authors: Sudarlan Sudarlan , Marwanto Marwanto , Krisma Imeldianti 
Published: October 2023

This research uses quantitative methods. Data collection techniques in this study using questionnaires, observation, and library techniques. The sample in this study were 160 respondents. Data analysis techniques that will be used in this study are Validity Test, Reliability Test, Classical Assumption Test, Normality Test, Multicollinearity Test, Heteroscedasticity Test, Multiple Linear Regression Test, t Test, f Test, Correlation Coefficient, Coefficient of Determination, and using IBM Software SPSS Version 19. The results of this study partially the perceived convenience variable, have a significant effect on the interest of the people of Samarinda City using online motorcycle taxi services, seen from Tcount > Ttable (2,974 > 1.975) and the sig value of 0.003 < 0.05, partially the perception variable the benefits have no significant effect on the interest of the people of Samarinda City using online motorcycle taxi services, seen from Tcount < Ttable (-1,361 < 1.975) and the sig value of 0.175 > 0.05, partially trust variable, has a significant effect on people's interest in using online motorcycle taxi services, seen from Tcount > Ttable (3,331 > 1.975) and the sig value of 0.001 < 0.05, partial promotion variables have a significant effect on the interest of the people of Samarinda City using online motorcycle taxi services, seen from Tcount > Ttable (3.885 > 1.975) and a sig value of 0.000 < 0.05, simultaneously the variables of perceived convenience, perceived benefits, trust, and promotion have an effect on the interest of the people of Samarinda City using online motorcycle taxi services, as seen from Fcount > Ftable (20,484 > 2.43) and the sig value of 0.000 <0.05.
Forest Governance Effectiveness in Gamo Zone, South Ethiopia Regional State, Ethiopia
Authors: Duga Turkato , Geressu Birhane , Ahmed Mohammednur 
Published: October 2023

Purpose: The purpose of the study is to investigate the extent of forest governance effectiveness in Gamo Zone, South Ethiopia Regional State, Ethiopia.
Methodology: The study employed a descriptive survey research design with quantitative and qualitative methods. Primary data was collected through a questionnaire, semi-structured interview, and document analysis. The sample for quantitative data consisted of 402 rural households in six kebeles and two Woredas in the Gamo zone. Data was collected using nine forest governance effectiveness indicators with their respective components. To examine the extent of forest governance effectiveness and to determine the statistically significant relationship between the variables, asymptotic significance in the chi-square test was used. Finally, to arrive at valid conclusions, the study findings from the quantitative survey were triangulated with in-depth qualitative data, other secondary sources, and empirical studies.
Findings: According to the findings, the implementation of and attachment to these nine key indicators of forest governance effectiveness were found to be insufficient and poor, and this study arrived at the conclusion that forest governance was ineffective in terms of the majority of the components of the key indicators.
Unique Contribution to Theory, Practice and Policy: The study findings have unique contributions in identifying the relevance of theories applied in this study and bridging the wider knowledge and research gaps in the study area with respect to forest policy narrations and its governance practices at local community level in Ethiopia, particularly in the Gamo Zone of South Ethiopia Regional state. Therefore, the researcher recommends the importance of ensuring independent forest institutions from top to bottom that are legally and politically empowered to coordinate the concerned sectors in the protection, governance, and sustainable utilization of the resources by realizing strong practice of the rule of law, a clear accountability line for all stakeholders, ensuring transparency, responsible public participation that enhances equity, fairness, effectiveness, and efficiency, and creating opportunities to make use of local knowledge and experiences of managing conflicts that are arising among the forest-dependent communities and the government bodies.
Characteristics Analysis of Different Photonic Crystal Fiber Lattice Structures
Authors: Anbazhagan Lavanya , Sudhanya P. , Jansi R. 
Published: October 2023

This study presents a comprehensive analysis of various photonic crystal fiber (PCF) lattice structures using the Finite Element Method (FEM). PCFs have gained significant importance in various optical and communication applications due to their unique optical properties. Understanding the characteristics and optimal designs of different PCF lattice structures is crucial for their effective utilization. In this research, we explore eight distinct lattice designs, including circle, square, pentagon, hexagon, heptagon, octagon, decagon, and dodecagon. We investigate how variations in the air-filling fraction (AFF), a critical structural parameter, affect the performance of these PCF structures. The utilization of FEM allows for a detailed analysis of these lattice structures, offering insights into their behavior under different conditions. By varying the AFF, we gain valuable insights into the optimal design choices for specific applications. This research aims to provide a deeper understanding of the applicability of each PCF lattice structure. By scrutinizing their performance and characteristics, it becomes possible to distinguish which lattice structure is best suited for various optical and communication applications. The findings from this study offer significant contributions to the field of photonics, guiding researchers and engineers in selecting the most suitable PCF lattice structure for their specific applications. Understanding the structural parameters that influence PCF behavior is a key step toward optimizing the performance of optical and communication systems.

Received: 8 September 2023 | Revised: 18 October 2023 | Accepted: 19 October 2023

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data available on request from the corresponding author upon reasonable request.
STRATEGIC INPUTS OF COMPETITIVE INTELLIGENCE AND COMPETITIVE ADVANTAGE AMONG COMMERCIAL BANKS, IN KENYA
Authors: Waithaka Paul 
Published: October 2023

Purpose: This study sought to determine the effect of strategic inputs of competitive intelligence on competitive advantage among commercial banks in Kenya. Specifically, the study sought to determine the effect of market place opportunities, competitor threats, competitive risks, identifying and hedging against key vulnerabilities and verifying core assumptions on competitive advantage among commercial banks in Kenya.
Methodology: A descriptive and explanatory research design was used in this study and primary data was collected at the head office of each bank which are all found in Nairobi City. Primary data was collected using a semi-structured questionnaire. Data was analyzed using both descriptive and inferential statistics. Analysis was done with the assistance of SPSS computer packages.
Results: The results of the regression analysis found the coefficient of determination is R2= 0.847; indicating that 84.7% variation in competitive advantage among commercial banks in Kenya is explained by the strategic inputs of competitive intelligence. The Analysis of the Variance (ANOVA) value of F calculated was 27.602; this shows that the overall regression model was significant. The study established that all the five variables: marketplace opportunities, competitor threats, competitive risks, key vulnerabilities and core assumptions; the strategic inputs of competitive intelligence have a significant effect on the competitive advantage among commercial banks in Kenya.
Unique Contribution to Theory, Practice and Policy: The study recommends to the management of commercial banks to improve and strengthen competitive intelligence activities which would help banks to quickly identify market place opportunities before they become obvious. Competitor threats should be discovered early to enable strategies to ameliorate or neutralize them be developed. Top management team should use competitive intelligence develop insights which can be transformed into an array of pre-emptive and responsive actions that enable the bank to be avert possible risks in the business environment. Bank managers should increase the frequency and scope of competitive intelligence activities that would enable them obtain critical information for rapid identification and assessment of key vulnerabilities so that they can hedge the banks against attack by rivals. The banks need to be continuously monitoring and verifying the core assumptions on which current strategies are grounded.
Pengaruh Viskositas Coolant dengan Variasi Depth Of Cut Terhadap Keausan Pahat Carbaide Pada Proses Turning VCN 150
Authors: Rajabiah Nurlaila , Ridhuan Kemas , Yan Foltha Richo 
Published: October 2023

Sifat coolant yang dapat menurunkan gaya gesek dan temperatur pada pahat potong tentunya dapat mengahasilkan suatu produk yng berkualitas dan tentunya akan memperpanjang umur pahat dari keausan pahat akibat kontak dengan benda kerja pada saat proses produksi. Untuk medapatkan sifat dan viskositas yang ideal dari coolant tentunya dilakukan percampuran dari dua jenis fluida yaitu oli dan air. Nilai viskositas tersebut akan berpengaruh pada nilai keausan pahat, umur pahat, dan temperatur pahat karbida ISO 6 dengan spesimen atau benda kerja VCN 150 (diameter: 30 mm dan panjang: 100 mm). Nilai keausan pahat di ukur dengan batas keausan untuk pahat karbida yaitu 0,2 mm – 0,5 mm. Hasil penelitian menunjukan bahwa nilai DOC pada saat proses pemakanan berbanding lurus dengan nilai keausan pahat. Nilai keausan terendah pada DOC 1 mm dengan nilai viskositas (ɳ) 0,44 yaitu 0,1479 mm dan terbesar pada DOC 3 mm yaitu 1,0524 mm, tentunya untuk nilai viskositas optimum terdapat pada nilai viskositas (ɳ) 0,44 dengan komposisi percampuran air dan oli (50%:50%). Selanjutnya nilai DOC pada proses pemakanan terhadap temperatur pahat berbanding lurus. Temperatur terendah pada DOC 1 mm yaitu 38oC dengan nilai viskositas (ɳ) 0,30 dan temperatur tertinggi pada DOC 3 mm yaitu 96oC pada viskositas (ɳ) 0,51. Selanjutnya nilai DOC berbanding terbalik dengan umur pahat. Nilai umur pahat terkecil pada DOC 3 mm pada viskositas (ɳ) 0,30 sebesar 0,2045 menit dan umur pahat tertinggi pada DOC 1 mm yaitu pada viskositas (ɳ) 0,44 sebesar 1,4492 menit.
Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network
Authors: Alvárez Óscar , Barreto África , García Omaira E. , Hase Frank , García Rosa D. , Gröbner Julian , León-Luis Sergio F. , Sepúlveda Eliezer , Carreño Virgilio , Alcántara Antonio , Ramos Ramón , Almansa A. Fernando , Kazadzis Stelios , Taquet Noémie , Toledano Carlos , Cuevas Emilio 
Published: October 2023

Abstract. Fourier transform infrared (FTIR) spectroscopy is particularly relevant for climate studies due to its ability to provide information on both fine absorption structures (i.e. trace gases) and broadband continuum signatures (i.e. aerosols or water continuum) across the entire infrared (IR) domain. In this context, this study assesses the capability of the portable and compact EM27/SUN spectrometer, used within the research infrastructure COCCON (COllaborative Carbon Column Observing Network), to retrieve spectral aerosol properties from low-resolution FTIR solar absorption spectra (0.5 cm−1). The study focuses on the retrieval of aerosol optical depth (AOD) and its spectral dependence in the 873–2314 nm spectral range from COCCON measurements at the subtropical high-mountain Izaña Observatory (IZO, Tenerife, Spain), which were coincidentally carried out with standard sun photometry within the Aerosol Robotic Network (AERONET) in the 3-year period from December 2019 to September 2022. The co-located AERONET–COCCON database was used to cross-validate these two independent techniques in the common spectral range (870–1640 nm), demonstrating an excellent agreement at the near-coincident spectral bands (mean AOD differences limited to 0.005, standard deviations up to 0.021 and Pearson regression coefficients up to 0.97). This indicates that the low-resolution COCCON instruments are suitable for detecting the aerosol broadband signal contained in the IR spectra in addition to the retrieval of precise trace gas concentrations, provided a robust calibration procedure (Langley-based or absolute calibration procedures) is used to compensate for the optical degradation of the external system (∼ 0.72 % per month). The study also assesses the capability of the EM27/SUN to simultaneously infer aerosols and trace gases and relate their common emission sources in two case study events: a volcanic plume from the La Palma eruption in 2021 and a nearby forest fire in Tenerife in 2022. Overall, our results demonstrate the potential of the portable low-resolution COCCON instruments to enhance the multi-parameter capability of the FTIR technique for atmospheric monitoring.
The 2022 MW 6.0 Gölyaka–Düzce earthquake: an example of a medium-sized earthquake in a fault zone early in its seismic cycle
Authors: Martínez-Garzón Patricia , Becker Dirk , Jara Jorge , Chen Xiang , Kwiatek Grzegorz , Bohnhoff Marco 
Published: October 2023

Abstract. On 23 November 2022, a MW 6.0 earthquake occurred in the direct vicinity of the MW 7.1 Düzce earthquake that ruptured a portion of the North Anatolian Fault in 1999. The Mw 6.0 event was attributed to a small portion of the Karadere fault off the main North Anatolian Fault that did not rupture during the 1999 sequence. We analyze the spatiotemporal evolution of the MW 6.0 Gölyaka–Düzce seismic sequence at various scales and resolve the source properties of the mainshock. Modeling the decade-long evolution of the background seismicity of the Karadere fault employing an Epistemic Type Aftershock Sequence model shows that this fault was almost seismically inactive before 1999, while a progressive increase in seismic activity is observed from 2000 onwards. A newly generated high-resolution seismicity catalog from 1 month before the mainshock until 6 d after was created using artificial-intelligence-aided techniques and shows only a few events occurring within the rupture area within the previous month, no spatiotemporal localization process and a lack of immediate foreshocks preceding the rupture. The aftershock hypocenter distribution suggests the activation of both the Karadere fault, which ruptured in this earthquake, and the Düzce fault that ruptured in 1999. First results on the source parameters and the duration of the first P-wave pulse from the mainshock suggest that the mainshock propagated eastwards, which is in agreement with predictions from a bimaterial interface model. The MW 6.0 Gölyaka–Düzce event represents a good example of an earthquake rupture with damaging potential within a fault zone that is in a relatively early stage of the seismic cycle.
FORMATION OF THE DIFFUSION COATINGS STRUCTURE ON THE SURFACE OF THE Fe–Cr–Al ALLOY DURING HOT-DIP ALUMINIZING WITH ULTRASONIC IMPACT
Authors: Шморгун В.Г. , Богданов А.И. , Кулевич В.П. 
Published: October 2023

Исследованы закономерности формирования структуры диффузионных покрытий на поверхности сплава системы Fe–Cr–Al при жидкостном алитировании под воздействием ультразвука. Установлен фазовый и химический состав покрытий. Показано, что воздействие ультразвука, не оказывая влияния на состав покрытий, приводит к изменению доли интерметаллидных фаз в покрытии. Ультразвуковое воздействие способствует получению сплошных покрытий при минимальном времени воздействия высокой температуры расплава на подложку.
The regularities of formation of the diffusion coatings structure on the surface of the Fe–Cr–Al alloy during hot-dip aluminizing with ultrasonic impact are studied. The phase and chemical composition of the coatings has been established. It is shown that the impact of ultrasonic, without affecting the coatings composition, leads to a change in the intermetallic phases proportion in coatings. Ultrasonic impact contributes to the production of continuous coatings with a decrease of exposure time to high temperature on the substrate.
اتجاهات مديري المكتبات نحو استخدام تطبيقات الذكاء الاصّطناعيّ – الجامعات الأردنية
Authors: النعانعة بيان فراس محمد , ناصر طه نشروان 
Published: October 2023

الملخص

هدفت هذه الدّراسة إلى التعرف على اتجاهات مديري المكتبات الجامعية الأردنية نحو استخدام تطبيقات الذكاء الاصّطناعيّ. وجرى استخدام المنهج الوصفي النوعي لتحقيق هدف الدّراسة، وتكوّن مجتمع الدّراسة من جميع مديري المكتبات الجامعية الأردنية، في كلٍّ من المكتبات الجامعية الأردنية (الحكومية والخاصة)، والبالغ عددهم (29) مدير ومديرة مكتبة جامعية، حيث تم اختيارهم بالطريقة القصدية. استجاب منهم (15) مديراً ومديرة، وكانت نسبة الاستجابة (52%) من إجمالي مجتمع الدراسة.
ولتحقيق أهداف الدّراسة، قامت الباحثة بإعداد أداة المقابلة المفتوحة شبه المنظمة (Semi-structured interview) ، وقد تراوحت مدة المقابلة ما بين (15- 45) دقيقة. وتم استخدام التحليل المبني على استخراج الكلمات المفتاحية (Themes) وبناء تصنيفات عامة حسب هذه الكلمات المفتاحية، وقد أظهرت نتائج الدراسة أن هناك اتجاهات إيجابية بنسبة كبيرة بين مديري المكتبات الجامعية الأردنية نحو استخدام تطبيقات الذكاء الاصطناعي، وأثنى المستجيبون على اتجاهاتهم الإيجابية من خلال رؤيتهم المستقبلية حول ما يمكن أن تقدمه هذه التطبيقات وما يمكن أن ينعكس جراء استخدامها على المكتبات الجامعية الأردنية. كما أظهرت النتائج أن الدافع لتوجه أفراد العينة لاستخدام تطبيقات الذكاء الاصطناعي هو الحرص على مواكبة التكنولوجيا الحديثة، حيث غالباً ما يعتمد هؤلاء الأفراد على فوائد استخدام التكنولوجيا لتحديد ما إذا كانت ستؤثر على المكتبات الجامعية وخدماتها. وقد خرجت هذه الدراسة بالتوصيات التالية: ضرورة مواكبة كل ما هو جديد في التكنولوجيا الحديثة واستخدامه بطريقة تناسب احتياجات المكتبات الجامعية، بالإضافة إلى إدراج مواد تختص بالذكاء الاصطناعي لتدريسها لطلبة الجامعات. كما أوصت بإجراء العديد من البحوث حول موضوع الذكاء الاصطناعي لإثراء البحث العلمي، وأوصت الدراسة الباحثين إلى استكمال البحث في موضوع الذكاء الاصطناعي في مختلف أنواع المكتبات من نواحٍ أخرى.