bluuebunny/crossref_metadata_2025 huggingface dataset:
Geometric constraints on tributary fluvial network junction angles
Authors: Pelletier Jon D. , Hayes Robert G. , Hoch Olivia , Fenerty Brendan , McGuire Luke A.
Published: April 2024

Abstract. The intersection of two non-parallel planes is a line. Howard (1990), following Horton (1932), proposed that the orientation and slope of a fluvial valley within a tributary network are geometrically constrained by the orientation and slope of the line formed by the intersection of planar approximations to the topography upslope from the tributary junction along the two tributary directions. Previously published analyses of junction-angle data support this geometric model, yet junction angles have also been proposed to be controlled by climate and/or optimality principles (e.g., minimum-power expenditure). In this paper, we document a test of the Howard (1990) model using ~107 fluvial network junctions in the conterminous U.S. and a portion of the Loess Plateau, China. Junction angles are consistent with the predictions of the Howard (1990) model when the orientations and slopes are computed using drainage basins rather than in the traditional way using valley-bottom segments near tributary junctions. When computed in the traditional way, junction angles are a function of slope ratios (as the Howard (1990) model) predicts, but data deviate from the Howard (1990) model in a manner that we propose is the result of valley-bottom meandering/tortuosity. We map the mean junction angles computed along valley bottoms within each 2.5 km x 2.5 km pixel of the conterminous U.S.A. and document lower mean junction angles in incised late-Cenozoic alluvial piedmont deposits compared to those of incised bedrock/older deposits. To understand how this finding relates to the geometric model of Howard (1990), we demonstrate that, for an idealized model of an initially unincised landform, i.e., a tilted plane with random microtopography, lower ratios of the mean microtopographic slope to the large-scale slope/tilt are associated with lower mean junction angles compared to landforms with higher such ratios. Using modern analogs, we demonstrate that unincised late-Cenozoic alluvial piedmonts likely had ratios of mean microtopographic slope to large-scale slope/tilt that were lower (i.e., ~1) prior to tributary drainage network development than the same ratios of bedrock/older deposits (≫1). This finding provides a means of understanding how the geometric model of Howard (1990) results in incised late Cenozoic alluvial piedmont deposits with lower mean tributary fluvial network junction angles, on average, compared to those of incised bedrock/older deposits. This work demonstrates that the topography of a landscape prior to fluvial incision exerts a key constraint on tributary fluvial network junction angles via a fundamental geometric principle that is independent of any climate- or optimality-based principle.
A new dunetracking tool to support input parameter selection and uncertainty analyses using a Monte Carlo approach
Authors: Reich Julius , Winterscheid Axel
Published: April 2024

Abstract. Precise and reliable information about bedforms, regarding geometry and dynamics, is relevant for many applications – like ensuring safe conditions for navigation along the waterways, parameterizing the roughness of the riverbed in numerical models, or improving bedload measurement and monitoring techniques. There are many so-called dunetracking tools to extract this information from bathymetrical data. However, most of these tools require the setting of various input parameters, which in turn influence the resulting bedform characteristics. How to set the values for these parameters and what influence they have on the calculations has not yet been comprehensively investigated. This is why we introduce a new dunetracking tool, which is able to quantify the influence of varying input parameter settings by performing a Monte Carlo Simulation. The core of the tool is a combination of the two existing applications Bedforms-ATM (Guitierrez, 2018) and RhenoBT (Frings et al., 2012), which have been extended by adding additional features. A wavelet analysis has been adapted from Bedforms-ATM while a zerocrossing procedure and a cross correlation analysis have been implemented based on RhenoBT. The combination of both tools enables a more accurate and sound procedure, as the results of the first step are required input parameters in the second step. By performing a Monte Carlo Simulation, comprehensive sensitivity analyses can be carried out and the possible range of results is revealed. At the same time, the high degree of automation allows the processing of large amounts of data. By applying the tool to a test dataset, it was found that bedform parameters react with different sensitivity to varying input parameter settings. Bedform lengths appeared to be more sensitive (uncertainties up to 50 % were identified) than bedform heights. The setting of a window size in the zerocrossing procedure (especially for the upper layer of bedforms in case secondary bedforms are present) was identified to be the most decisive input parameter. Here, however, the wavelet analysis offers orientation by providing a range of plausible input window sizes and thus allows a reduction of uncertainties. By choosing values outside this range, divergence behavior could be observed for several resulting bedform parameters. Concurrently, the time interval between two successive measurements has proven to have a significant influence on the determination of bedform dynamics. For the test dataset, the faster migrating secondary bedforms were no longer traceable for intervals longer than two hours. At the same time, they contributed to up to 90 % of the total bedload transport, highlighting the need for measurements in high temporal resolution in order to avoid a severe underestimation.
Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 meta-process model
Authors: McCall Robert , Storlazzi Curt , Roelvink Floortje , Pearson Stuart , de Goede Roel , Antolínez José
Published: April 2024

Abstract. Low-lying, tropical coral reef-lined coastlines are becoming increasingly vulnerable to wave-driven flooding due to population growth, coral reef degradation, and sea-level rise. Early-warning systems (EWS) are needed to enable coastal authorities to issue timely alerts and coordinate preparedness and evacuation measures for their coastal communities. At longer time scales, risk management and adaptation planning require of robust assessments of future flooding hazard considering uncertainties. However, due to diversity in reef morphologies and complex reef hydrodynamics compared to sandy shorelines, there have been no robust, analytical solutions for wave runup to allow the development of large-scale coastal wave-driven flooding EWS and risk assessment frameworks for reef-lined coasts. To address the need for a fast, robust prediction of runup along reef-lined coasts, we constructed the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process modeling system. We developed this meta-process model using a training dataset of hydrodynamics and wave runup computed by the XBeach Non-Hydrostatic+ process-based hydrodynamic model for 440 combinations of water level, wave height, and wave period on 195 morphologically diverse representative reef profiles. In validation, the BEWARE-2 modeling system produced runup results that had a root-mean square error of 0.63 m and bias of 0.26 m, relative to runup of 0.17–20.9 m simulated by XBeach Non-Hydrostatic+ for a large range of oceanographic forcing conditions and for a diverse reef morphologies. Incorporating parametric modifications in the modeling system to account for variations in reef roughness and beach slope allows systematic errors (relative bias) in BEWARE-2 predictions to be reduced by a factor of 1.5–6.5 for relatively coarse or smooth reefs, and mild or steep beach slopes. This relatively accurate solution is provided by the BEWARE-2 modeling system 4–5 orders of magnitude faster than the full, process-based hydrodynamic model and could therefore be integrated in large-scale EWS for tropical, reef-lined coasts, as well as used for large-scale flood risk assessments.
Exploring the daytime boundary layer evolution based on Doppler spectrum width from multiple coplanar wind lidars during CROSSINN
Authors: Babić Nevio , Adler Bianca , Gohm Alexander , Lehner Manuela , Kalthoff Norbert
Published: April 2024

Abstract. Over heterogeneous, mountainous terrain, the determination of spatial heterogeneity of any type of a turbulent layer has been known to pose substantial challenges in mountain meteorology. In addition to the combined effect in which buoyancy and shear contribute to the turbulence intensity of such layers, it is well known that mountains add an additional degree of complexity via non-local transport mechanisms, compared to flatter topography. It is therefore the aim of this study to determine the vertical depths of both daytime convectively and shear-driven boundary layers within a fairly wide and deep Alpine valley during summertime. Specifically, three Doppler lidars deployed during the CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) campaign within a single week in August 2019 are used to this end, as they were deployed along a transect nearly perpendicular to the along-valley axis. To achieve this, a bottom-up exceedance threshold method based on turbulent Doppler spectrum width sampled by the three lidars has been developed and validated against a more traditional bulk Richardson number approach applied to radiosonde profiles obtained above the valley floor. The method was found to adequately capture the depths of convective turbulent boundary layers at a 1 min temporal and 50 m spatial resolution across the valley, with the degree of ambiguity increasing once surface convection decayed and upvalley flows gained in intensity over the course of the afternoon and evening hours. Analysis of four intensive observation period (IOP) events elucidated three regimes of the daytime mountain boundary layer in this section of the Inn Valley. Each of the three regimes has been analysed as a function of surface sensible heat flux H, upper-level valley stability Γ, and upper-level subsidence wL estimated with the coplanar retrieval method. Finally, the positioning of the three Doppler lidars in a cross-valley configuration enabled one of the most highly spatially and temporally resolved observational convective boundary layer depth data sets during daytime and over complex terrain to date.
Recorrido audiovisual de la Guía CAMPSA: análisis evolutivo de una publicación histórica (1988-1995)
Authors: De Castro Leticia
Published: April 2024

A lo largo de este artículo, se realiza un recorrido audiovisual de los anuncios publicitarios de la Guía Campsa entre los años 1988 y 1995. Empezaremos este recorrido estableciendo el contexto en el que se funda la empresa Campsa y el sector de los hidrocarburos en España hasta el año 1993 cuando se pone fin a esta Compañía Arrendataria del Monopolio de Petróleos. Se continúa con lo que es el propio objeto publicitario, una guía de viajes y se finaliza con todas las campañas publicitarias protagonizadas por Camilo José Cela, personaje ilustre y con marcado carácter, que será uno de los representantes del término afterpop, término que también será analizado. El artículo finaliza con un análisis documental (minutado) de estas campañas publicitarias creadas para la televisión.
Marcus Musurus and the Aldine Septuagint. With a reconsideration of the recently-recovered BH UCM 22 (442 Rahlfs)
Authors: Martins de Jesus Carlos Alberto
Published: April 2024

The following pages perform an evaluation of Marcus Musurus’ partial review of 1-2 Kings in two manuscripts (London, British Library, add 10968 [L] and Madrid, BH MS. 22 [M]). On the one hand, the nature and contexts of both codices reviewed by Musurus (the books he worked upon) provide valuable information on the long-debated issue of Aldus’ (and particularly Musurus’) access to Bessarion’s former Greek library, as it also stresses the need to reconsider the contexts of copying and revision of these codices. Especially M, which production, revision, and sending to Spain will be reconsidered. On the other hand, textual collation will confirm the use of several manuscript sources as part of Musurus’ well-known and praised philological work (the books he worked with), making the very revision of M, finally recovered, a part of the editorial process of the Aldine Septuagint.
Sobre el ritmo jónico: enigmas y virtudes pedagógicas de un metro incomprendido
Authors: Bergua Cavero Jorge
Published: April 2024

Se defiende en el artículo, siguiendo los pasos de Agustín García Calvo, una interpretación rítmica del metro jónico que difiere sensiblemente de la comúnmente aceptada en los manuales de métrica griega y romana. Al mismo tiempo, se insiste en general en la importancia de distinguir siempre entre el esquema prosódico de un verso determinado y los valores duracionales que esas sílabas tendrían en la ejecución real del verso, ya fuera recitado o cantado; en el caso del metro jónico, se argumenta, esta distinción es vital para su buen entendimiento.
Research on the Application of Virtual Reality Technology in the Design and Evaluation of Interactive Interfaces for Renewable Energy Systems
Authors: Cao Xingqi , Song MinJung
Published: April 2024

In this investigation, we delve deeply into the visual interaction design of electric vehicle power management systems, particularly how we can integrate sustainable development principles to enhance the user experience and promote environmentally friendly travel. Initially, we take a look at the present situation and challenges faced by electric vehicle power management systems. We identify shortcomings in traditional design approaches that fail to prioritize sustainability, such as low energy efficiency and challenges in accessing user-friendly information. To validate the effectiveness of our proposed method, we conduct case studies and user tests. The results reveal that incorporating sustainable development elements into the visual interaction design not only significantly boosts user satisfaction and trust in the power management system but also helps reduce energy consumption and environmental pollution.
Efficacy and safety of mirikizumab as induction and maintenance therapy for Japanese patients with moderately to severely active ulcerative colitis: a subgroup analysis of the global phase 3 LUCENT-1 and LUCENT-2 studies
Authors: Kobayashi Taku , Matsuoka Katsuyoshi , Watanabe Mamoru , Hisamatsu Tadakazu , Hirai Fumihito , Milata Joe , Li Xingyuan , Morris Nathan , Arora Vipin , Ishizuka Tomoko , Matsuo Koji , Satoi Yoichi , Milch Catherine , Hibi Toshifumi
Published: April 2024

Background/Aims: Mirikizumab is a p19-directed anti-interleukin-23 antibody with potential efficacy against ulcerative colitis (UC). We evaluated the efficacy and safety of mirikizumab in a Japanese subpopulation with moderately to severely active UC from the LUCENT-1 and LUCENT-2 studies.Methods: LUCENT-1 and LUCENT-2 were phase 3, randomized, double-blind, placebo-controlled trials of mirikizumab therapy in adults with moderately to severely active UC. LUCENT-1 was a 12-week induction trial where patients were randomized 3:1 to receive intravenous mirikizumab 300 mg or placebo every 4 weeks (Q4W). Patients achieving a clinical response with mirikizumab following the induction study were re-randomized 2:1 to double-blind treatment with either mirikizumab 200 mg or placebo subcutaneously Q4W during the 40-week maintenance study. The primary outcomes were clinical remission at week 12 of LUCENT-1 and week 40 of LUCENT-2.Results: A total of 137 patients enrolled in Japan were randomized to mirikizumab (n = 102) or placebo (n = 35). Compared with placebo, patients who received mirikizumab showed numerically higher clinical remission at week 12 of induction (32.4% [n = 33] vs. 2.9% [n = 1]) and at week 40 of maintenance (48.9% [n = 23] vs. 28.0% [n = 7]). A greater number of patients achieved key secondary endpoints in the mirikizumab group compared with placebo. The frequency of treatment-emergent adverse events was similar across mirikizumab and placebo groups. Efficacy and safety results observed in the Japanese subpopulation were generally consistent with those in the overall population.Conclusions: Mirikizumab induction and maintenance treatments were effective in Japanese patients with moderately to severely active UC. No new safety concerns were identified.
AĞRI YÖNETİMİNİN KÖŞE TAŞI: AĞRI DEĞERLENDİRMESİ VE HEMŞİRELİK
Authors: Karabey Tuba , Özveren Hüsna
Published: April 2024

Ağrı, dünyadaki tüm toplumları klinik, sosyal ve ekonomik yönden olumsuz etkileyen majör bir sağlık problemidir. Ağrı, kliniklerde çok görülen ve korkulan bir semptom olmasına rağmen iyi bir ağrı yönetimi ile kontrol altına alınabilir. Hastaların yaşam kalitesini artırmada etkili ağrı yönetimi oldukça önemlidir. Ağrı yönetiminin etkin olabilmesi için ağrının değerlendirilmesi, tedavi edilmesi, ağrı nedeniyle gelişebilecek komplikasyonların izlenmesi, komplikasyonlara müdahale edilmesi ve bu aşamaların yeniden değerlendirilmesine imkan verecek şekilde kayıt tutulması gerekmektedir. Ağrı yönetiminin temel taşı ise kapsamlı bir ağrı değerlendirilmesini içerir. Ağrı yönetiminde multidisipliner ekibin bir üyesi olan hemşirelerin ağrının tüm yönleriyle ele alındığı doğru bir ağrı değerlendirmesi yapması gerekir. Bu nedenle hemşireler ağrı değerlendirmesi konusunda yeterince bilgi, beceri ve tutuma sahip olmalıdır. Etkili bir ağrı yönetimi için hemşirelerin ağrı mekanizmasını anlaması, doğru ve düzenli aralıklarla ağrı değerlendirmesi yapmaları ve ağrıyı etkileyen diğer semptomları gözlemlemeleri büyük önem taşımaktadır.
Empowering Structural Integrity: YOLO-Based Crack Detection and ML-Driven Concrete Strength Prediction of Critical Infrastructure Caused due to Mining Operation.
Authors: Surajit Mohanty
Published: April 2024

In this paper, YOLO algorithm is used for detecting crack by incorporating machine learning approach utilized for predicting concrete strength and possible crack in critical infrastructure caused during mining operation. Over time, those fissures become more noticeable until they finally collapse. Big data is accumulating huge amount of data by utilizing remote sensing, earth penetrating RADAR, LiDAR, GPS, and satellite image data for large-scale operations. The performance of the proposed approach is compared with other state-of-the-art algorithms, such as, YOLO V3 and YOLO V8. To investigate the performance, four performances metric like mean absolute error (MAE), root mean square error (RMSE),  relative standard error (RSE) and root relative squared error (RRSE) has considered. It is found that our approach is giving superior results in term of the compared performance metrics. Moreover, non-parametric statistical testing, such as, signed test, Wilcoxon Rank test and Friedman's test has been conducted to verify the dominance of proposed approach over others.
CROWD VIDEO SEQUENCES PROCESSING METHODS
FOR DETERMINING THE CROWD MOTION PATTERNS
Authors: SHOLTANYUK S. , BU Q. , NEDZVED A.
Published: April 2024

Nowadays, homogeneous objects clusters motion is one of the most important and rapidly developing computer
vision and machine learning application. In this paper, we consider the crowd motion patterns determination
by using motion maps that we calculate with FlowNet, a neural network examining motion of objects in a video
sequence. This approach allows us to get information on the crowd direction and velocity with relation to other
objects of scene, which plays the key role in behavior analysis and security establishment. Besides, we consider
methods for preliminary video sequence processing, including frame combination, to estimate motion maps more
precisely and improve the effectiveness of the dynamic scenes analysis.
Masks
Authors: Gellar-Goad T.H.M.
Published: April 2024

The mask is the classic disguise. But as alter ego, it reveals as much as it conceals. Why are masks so often creepy, even outside of horror movies? Can a mask change expression while you’re wearing it? How much of someone’s self can inhabit a mask? Why would anyone make a plaster cast of a dead person’s face? And, really, who was that masked man? Masks unmasks the answers to these frequently (m)asked questions and more.

Masks are the materials for a world of make-believe, from the theater to Halloween, from masquerades to Scooby-Doo. Masks can take on magic or ritual powers. They can preserve and transmit memory. Masks are a makeover tool for appearance and identity, from spa treatments to drag to superheroes. What all these different functions have in common is the mask as physical metaphor, a mirror of the self and society. In another layer of metaphor, our words for ourselves as individuals (“person”) and for our self-presentation to society (“persona”) both derive directly from the Latin word for mask.

Masks explores one of humanity’s oldest cultural objects, traveling from prehistoric remains to ancient Roman funeral processions to Mardi Gras to masked doppelgangers on stage and screen. Its examination of masks across time and the globe sheds new light on the totemic power masks have developed, especially during the COVID-19 pandemic.
Editors' introduction: Undoing devolution by the back door? The implications of the United Kingdom Internal Market Act 2020
Authors: Hannant Tom , Morrow Karen
Published: April 2024

Editors' introduction to the Special Issue
THE EFFECT OF PREOPERATIVE ANXIETY ON HEMODYNAMIC PARAMETERS IN CESAREAN SECTION UNDER SPINAL ANESTHESIA
Authors: Sanbirgan Cihan , Kayacan Nurten , Karslı Bilge
Published: April 2024

Purpose:Our aim of this study is to assess the effect of preoperative anxiety on intraoperative hypotension, postoperative recovery and maternal satisfaction in cesarean section under spinal anaesthesia.
Methods:In this study,105 cesarean sections were included between aged of 18-45 and at 34-42 gestational weeks. Two different scales were used for the anxiety evaluation performed 1 hour before the operation, including STAI (I-II) anxiety score and Verbal Analoque scale (VAS).
It was evaluated as low, moderate and high anxiety according to the scores obtained: low (20-37), moderate (38-44) and high (45-80) for STAI and low (0-3), moderate (4-6) and high (7-10) for VAS. During the operation, haemodynamic parameters were monitored at 5,10,15,20,30 minutes. In the post-operative first day, STAI-I, VAS, Post-Cesarean Mother Satisfaction Scale (PCMSS) and Post-Cesarean Recovery Scale (PCRS) were also evaluated.
Results:In the evaluation of preoperative STAI -I and VAS anxiety scores, it was observed that the majority of cases had moderate anxiety group (61.9%, and 45.7%).
There was no significant correlation between preoperative STAI-I, STAI-II, VAS anxiety levels and SSAM, SSDS in our study. There was a negative correlation between postoperative VAS anxiety scores and SSAM but this was not significant. In our study, no significant difference was found in umbilical cord pH values in different anxiety levels. In preoperative high VAS levels, MBP decreased significantly in 30 minutes, and also vasopressor requirement decreased significantly in preoperative low VAS anxiety levels (p
Nadir Bir Komplikasyon: Yüz Maskesi ile Ventilasyon Sonrası Fasiyal Sinir Hasarı
Authors: Sezer Akman Tuğçehan , Başpınar Doğru Gözde
Published: April 2024

Perioperatif sinir hasarı nadir ancak bilinen bir komplikasyondur. Anestezi uygulamasında yüz maskesiyle ventilasyon ve çene itme manevrası fasiyal sinirin dallarında hasar meydana getirebilir. Bu hasar geçici, uzun süreli veya kalıcı olabilir. Bu olguda servikal polip ekstirpasyonu yapılan hastamızda maske ventilasyonu sonrasında gelişen fasiyal sinir hasarını ve bu komplikasyona yönelik müdahalelerimizi sunmayı amaçladık.
1780’DEN GÜNÜMÜZE MİLLETLER VE MİLLİYETÇİLİK “PROGRAM,MİT,GERÇEKLİK”
Authors: Yılmaz Erdem
Published: April 2024

Hobsbawm, bu çalışmasıyla birlikte milletlerin yaratıldığı görüşünü desteklemiştir. Milliyetçilik, İmparatorluklar, Devrimler, Sosyalizm ve Marksizm hususunda ağırlıklı olarak durmakta olan yazar, milliyetçiliği ve milletleri “toplumsal mühendislik” ürünü olarak görmektedir. İcat edilmiş olan gelenekler üzerinde ise haylice durmaktadır. Gelenekler icat edilmiş demektedir. Bununla birlikte yazara göre milletlerin çoğu 19. ve 20. yyların ürünüdür yani yaratılmışlardır. Ülkelerin siyasal ve toplumsal paralel olarak yaratılmıştır veya yaratılma gereği duyulmuştur. Yazarın varsayımları (Hipotezleri) ise Etnik kültürleri değişmez olarak görmektedir. Yukarıdan aşağıya bir bakışı benimser. Bu benimseyiş seçkinlerin halkı yönlendirmesi üzerinde durmaktadır. İndirgemeciliği savunmaktadır. Yakın tarihi modernleşme olarak ele almaktadır. Bu bağlamda yazarın, devlet kurmayla millet kurmayı paralel olarak görmekte olduğunu söyleyerek özetlemek mümkündür.
Executive Incentives and Corporate Risk Taking
Authors: Liang Yaxian , Sun Pengfei , Sun Ying
Published: April 2024

Risk-taking is a fundamental driving force for long-term sustainable economic growth, can corporate risk-taking be enhanced through executive incentives and how to adjust the level of corporate risk-taking? This paper utilizes data from 1886 Shanghai and Shenzhen A-share listed companies from 2010 to 2021, and conducts an empirical analysis by using fixed-effects model panel regression. This paper compares the effects of compensation incentives, equity incentives, and the simultaneous implementation of both incentives on the level of corporate risk-taking, and finds that equity incentives, as a long-term incentive, can significantly enhance corporate risk-taking compared to compensation incentives and the simultaneous implementation of both incentives. Further analysis reveals that equity incentives increase risk-taking by affecting selling expenses, but have no significant effect on administrative expenses and operating costs. Therefore, effective incentives can bring real benefits and create substantial value for enterprises. This paper provides a theoretical reference for the strategic planning and sustainable development of listed companies.
The Effect of Color on People's Emotions
Authors: Chen Rong
Published: April 2024

Psychologists have studied the relationship between color and people's mental health and found that color can affect people's emotions. Generally speaking, red means happiness and enthusiasm. It makes people feel warm and full and stimulates the emotion of love. Yellow means happiness, brightness, cheerfulness, and joy. Green means peace and gives people a sense of peace, tranquility, and gentleness. Blue gives people a quiet, cool, comfortable feeling, make people open-minded. Gray makes people feel depressed and empty. White and black are the two poles of vision. Black makes people feel solemn, depressed and sad. White makes people feel elegant, pure and light. Research confirms that black can distract people's attention and make them feel depressed and dull. Long-term living in such an environment, people's pupils are extremely enlarged and numb. Over time, it has a negative impact on people's health and longevity. The rooms are arranged in a white, clean sense, but the white contrast is too strong, easy to stimulate pupil contraction, causing headache and other diseases. In a word, different colors can bring different effects on people's emotions and change their psychological activities. So People's personal experience shows that color has an important impact on people's psychological activities, especially with emotions.
A Systematic Analysis on the Integration of Marxist Religious Thought into Ideological and Political Curriculum Teaching Content
Authors: Luo Qing , Luo Xu , Yi Ming
Published: April 2024

The systematical integration of Marxist religious thought into IPC teaching content can counter the challenges posed by capitalist core values and enhance students' ideological and political literacy. The system elements and target of this integration is explored, highlighting the importance of treating religion in a materialist dialectical manner and focusing on personal identity, educational goals, and social relations. Discussed systematically is the boundaries and environment of integrating Marxist religious thought into IPC teaching content, emphasizing the need to analyze the specific situation and cultural environment. It suggests that the integration should be carried out in the context of religious sinicization and the sinicization of Marxism, and should help students criticize religion and establish scientific beliefs.
Aspect-Level Sentiment Analysis of Customer Reviews Based on Neural Multi-task Learning
Authors: Shi Yadong , Li Lianwei , Li Huixiang , Li Ang , Lin Yiyu
Published: April 2024

In the era of big data, major e-commerce platforms are facing the challenge of an exponential growth in the number of user comments. Effectively utilizing these comments has become an urgent issue. Traditional manual statistical methods are no longer able to meet the demands for accuracy and real-time analysis. The rise of artificial intelligence-based text mining techniques provides a new approach to address this problem. By building deep learning analysis models, it is possible to uncover user preferences and product characteristics, helping businesses proactively adjust sales strategies, improve product and service quality, and achieve precise marketing. Text sentiment analysis is one of the important research directions in the field of text mining. Its basic idea is to transform subjective texts with emotional color into structured data, and then use machine learning, deep learning, and other artificial intelligence technologies to extract emotional features and discover knowledge patterns. This article proposes a deep learning-based sentiment analysis model, which includes a shared sentiment prediction layer used to transfer emotional knowledge between different aspect categories and alleviate the problem of insufficient data. The model consists of two parts: the Aspect Category Detection (ACD) classifier based on attention mechanism and the Aspect Category Sentiment Analysis (ACSA) classifier. The ACD part generates word weights using attention mechanism, while the ACSA part predicts the sentiment of words and combines weights to determine the sentiment of aspect categories within sentences.
Yaşlı İstismar ve İhmaline İlişkin Uygulanan Kuramsal Yaklaşımlar
Authors: Aktaş Mehtap
Published: April 2024

Bu çalışmada, yaşlı istismar ve ihmaline ilişkin kuramsal yaklaşımlara yönelik farkındalık sağlamak amaçlanmıştır. Yaşlılık, kişilerin biyopsikososyal açıdan iyi olma durumlarını tam anlamıyla sağlayamadıkları, var olan düzende görev ve güçlerinde birtakım yetersizlikler yaşadıkları pek çok problemi beraberinde getiren kayıplar dönemi olarak ifade edilebilmektedir. Yaşlılığın başlangıç dönemi 65 yaş ve üzeri olarak bildirilmektedir. Yaşlılık her geçen gün hızla artış göstermektedir. Bu hızlı artış sonucunda yaşlılar dünyada ve ülkemizde birtakım sorunlar ve güçlüklerle karşı karşıya kalmaktadır ve günlük yaşamlarında değişimler meydana gelmektedir. Toplumsal açıdan yaşlı nüfus oranında meydana gelen bu hızlı artışa paralel olarak, yaşlıların yaşamış oldukları sorunların başında yaşlı ihmali ve istismarı gelmektedir. Önemli bir halk sağlığı sorunu olan yaşlı ihmal ve istismarı yaşlılarda pek çok fiziksel, psikolojik ve sosyal sorunlara yol açmaktadır. DSÖ, yaşlı ihmal ve istismarı sonucunda bireylerde yaralanma, hastalık, üretim gücünde yetersizlik, yalnızlık ve karamsarlık gibi bazı önemli sorunlar geliştiğini bildirmektedir. Yaşlı ihmali ve istismarına bağlı gelişen bu sorunlar yaşlı bireye karşı yapılmış bir insan hakkı ihlalidir. Bu insan hakkı ihlaline karşı koymak ya da sorunu en aza indirmek sosyal hizmet mesleği açısından büyük önem taşımaktadır. İstismar ve ihmale uğrayan yaşlı bireylerle çalışan sosyal hizmet uzmanlarının yeterli bilimsel bilgi ve beceriyle donanımlı olması gerekmektedir. Çünkü, sosyal hizmet uzmanının yaşlı ihmali ve istismarına karşı gelişebilecek riskleri, belirti, bulguları, yaşlı istismar ve ihmal değerlendirilmesini, müdahale yöntemlerini bilmeleri sorunun önlenmesinde, çözüm yollarının geliştirilmesinde ve müdahale edilmesinde etkili olacaktır. Sonuç olarak; yaşlıların güçlendirilmesi önemlidir. Yaşlı bireylere yönelik güçlendirme çalışmalarıyla birlikte özgüvenlerini geliştirme, beceri ve yeteneklerini keşfetme, motivasyonlarını en üst düzeye çıkarma faaliyetleri de yapılmalıdır. Bununla birlikte, yaşlı istismar ve ihmaline yönelik makro düzeyde çalışmaların sürdürülmesi, toplumu bilgilendirici eğitim faaliyetlerinin de yapılması hız kazanmalıdır. Televizyon kanallarında, gazete, dergi, kongre ve panellerde kamu spotlarının yaşlı ihmali ve istismarına dikkat çekici nitelikte olması da sorunla mücadelede fayda sağlayacaktır.
YOLO Network-based URL Detection in Varied Conditions with Small-Sample Insights
Authors: Boussaad Leila , Boucetta Aldjia
Published: April 2024

Object detection is a pivotal aspect of computer vision, essential for diverse recognition tasks. This study centers on exploring deep learning methodologies for object detection, specifically targeting the identification of URLs in images captured by mobile phones. We conduct a comparative analysis of three models from the YOLO family – YOLOv3, YOLOv4, and YOLOv5 – recognized for their efficacy in object detection. Our research addresses the unique challenge of detecting URLs in images, particularly considering the limited availability of URL-labeled dataset. Through rigorous experimentation and evaluation, we demonstrate the generalization capabilities of YOLOv3, YOLOv4, and YOLOv5, as measured by average precision scores. Furthermore, we highlight the resilience of the YOLOv4 model against various image-related challenges. Our findings contribute significantly to the advancement of computer vision, specifically in the domain of object detection for real-world applications. By evaluating the performance of cutting-edge deep learning models, we provide valuable insights into their effectiveness for URL detection, thereby enriching our understanding of their practical utility. This research serves as a foundation for future investigations aimed at leveraging deep learning techniques to enhance object detection accuracy across diverse contexts.
Genomic Variation in Dengue Virus Non-Structural Protein 1 (NS1)
Authors: Saira Mushtaq  , Muhammad Tahir Khan  , Sikandar Hayyat  , Hasnain Javed  , Malik Ihsan Ullah Khan  , Sajjad Ghani
Published: April 2024

To understand in an improved way how the dengue virus (DENV) spreads, presents, and becomes hazardous, researching its genetic makeup is necessary. The positive sense RNA of DENV encodes three structural proteins and seven non-structural proteins. One of the non-structural proteins that aids in the replication of viral RNA is the non-structural protein 1 (NS1). The objective was to identify the most frequently repeated mutations in the NS1 protein in DENV RNA isolated from dengue patients in the province Punjab, Pakistan. Selection of 120 DENV isolates was done from laboratories of tertiary care hospitals of Punjab for analysis of sequencing of the whole genome. Only 23 samples were sequenced after viral isolation, quantification and cDNA synthesis. A total of 133 different types of mutations were detected along the entire length of NS.1. The most common mutations with the highest frequency were, K324R and K347R (n=7), D278N (n=6), K174R, and F178S (n=4), found at c-terminal of NS.1 protein. Mutations K347R, K174R, and F178S are novel. Future DENV vaccination development research will be especially profited by the mutations found in the current study. During each DENV outbreak in different places, studying genomic variations is crucial for strengthening societal health and developing new policies for future outbreaks.
YENİLENEBİLİR ENERJİ ÜRETİMİNİN EKONOMİK BÜYÜME ÜZERİNDEKİ ETKİSİ: TÜRKİYE ÖRNEĞİ
Authors: Caner Emine , Yaşar Sema
Published: April 2024

Enerji, insanlık tarihinin en önemli kaynaklarından biridir ve en temel ihtiyaçların başında gelmektedir. Ekonomik büyüme açısından gerekli araçlardan biri olarak kabul edilen enerjinin sürdürülebilirliğini sağlamak açısından çevre dostu olarak adlandırılan tükenmez güç kaynakları ciddi bir alternatif oluşturmaktadır. Yenilenebilir enerji kaynakları enerji arzı açısından da büyük avantajlar sağlamaktadır. Çalışmada 1990-2019 dönemi Türkiye’de yenilenebilir enerji üretiminin ekonomik büyüme üzerindeki etkisi Cobb-Douglas üretim fonksiyonu kullanılarak ARDL ve Toda-Yamamoto yaklaşımları ile incelenmiştir. ARDL testi neticesinde değişkenler arasında uzun dönemde pozitif yönlü bir ilişki olduğu yani yenilenebilir enerji üretiminin uzun dönemde iktisadi büyümeyi olumlu yönlü etkilediği sonucuna ulaşılmıştır. Nedensellik testine göre ise Türkiye ekonomisinde ilgili zamanda yenilenebilir enerji üretimi ile iktisadi büyüme arasında bir nedensellik ilişkisinin olmadığı sonucuna ulaşılmıştır.
ANALYZING THE RELATIONSHIP BETWEEN HEALTH EXPENDITURE, RENEWABLE ENERGY AND LIFE EXPECTANCY: EVIDENCE FROM ASIAN COUNTRIES
Authors: Dorbonova İraima , Sugözü İbrahim Halil
Published: April 2024

This study investigates the relationship between health expenditures, renewable energy and life expectancy in Asian countries within a model covering the period 2000-2020. GDP data are also included in the model. In the study, after applying cross-sectional dependence test and Cross-sectional Augmented Dickey-Fuller unit root tests, panel cointegration test is employed to show whether there is a long-run mutual relationship between health expenditures and other variables, and then Dumitrescu-Hurlin (2012) panel causality analysis method is used to test the causality between the relevant variables in Asian countries. According to the empirical findings, while causality is found between health expenditures and renewable energy in most of the Asian countries, there is also a high level of causality between life expectancy and health expenditures. Moreover, the cointegration test between health expenditures and other variables confirms that there is a long-run relationship between the variables. It is concluded that policy makers in Asian economies should develop policy frameworks that provide opportunities for renewable energy consumption and support investment in renewable energy projects to promote the use of clean technologies. Thus, an increase in renewable energy consumption can lead to economic prosperity by not only improving quality of life but also increasing productivity.
Performance Analysis of Non-Realistic Routing Protocol using Random Waypoint Model in MANET
Authors: Dak Ahmad Yusri , Ruslan Rafiza , Taib Abidah Mat , Radzi Nor Azira Mohd
Published: April 2024

A mobile ad hoc network (MANET) is a collection of wireless nodes connected via wireless networks and has no set structure. MANETs feature a self-organized routing topology in which mobile nodes are free to move, making it difficult and crucial to construct a stable and reliable network. Thus, failure of the route is also regarded as a prime factor affecting the efficiency of any MANET routing protocol. The breaking of the connection between two routes or more nodes will cause the failure of the route specifically in the non-realistic routing protocol. In a network of mobile nodes, the link break is mainly based on the mobility of individual nodes. Therefore, the objective of this research is to investigate the performance of proactive DSDV and reactive AODV routing protocol using the Random Waypoint(RWP) mobility model in MANET. NS-2 network simulator is used to simulate the MANET environment and BonnMotion is to create a movement of mobile nodes that integrate with the routing protocol. The network performance metrics used are throughput, packet delivery ratio, and average end-to-end delay. In addition, three simulation scenarios have been conducted to compare AODV and DSDV routing protocols with varying numbers of nodes, a comparison of AODV and DSDV routing protocols with varying pause time, and a comparison of AODV and DSDV routing protocols with varying mobility speed. The result from the three scenarios analysed and concluded that the RWP mobility model with AODV gives a better performance of throughput with 869.69 kbps and Packet Delivery Ratio (PDR) with 83.00% meanwhile, RWP with DSDV is better for the average end-to-end delay(EED) with 212.970 bps.
WVEHDD: Weighted Voting based Ensemble System for Heart Disease Detection
Authors: Gogoi Usha Rani
Published: April 2024

Although several machine learning (ML) based algorithms are proposed by various researchers for Heart Disease detection (HDD), most of these works considered a very small experimental dataset to justify the efficiency of ML techniques in HDD. Moreover, despite of the low correlation of the features with the target, all the features were used for HDD. Considering the limitations of these existing systems, current study emphasizes on the designing of a Weighted Voting based Ensemble (WVE) Classifier for HDD from a sufficiently large dataset comprising of 1296 instances. Although there are 13 features, only 4 features are found to be statistically significant in HDD. For designing an efficient WVE classifier for HDD, the weighted votes of five efficient classifiers are combined to get the final decision. The experimental result shows that the proposed WVEHDD system outperforms the existing systems by providing the highest train accuracy of 96.15% and test accuracy of 95.64%
Post-Merger Commercial Bank Performance Trends: A Case of Kenya
Authors:   Kenyatta University, Kenya, Oira Sammy Machoka
Published: April 2024

Commercial banks face performance challenges since most of them react to these challenges in a fairly standardized manner. This is because most of the commercial banks offer similar products and services. In so doing, they face high competitions and as a result, they engage activities in pursuit of a competitive edge in order to keep their current customers and attract new ones. Some of the strategic activities these companies have engaged in the recent past have been Mergers and acquisitions (M&A). M&A have become an effective strategic tool to consolidate the Banks and Financial Institutions (BFIs) in Kenya to increase their capital base, expand their business, and bring financial stability. However, despite venturing into mergers and acquisitions, evidence from elsewhere indicates that financial performance stability and improvement still remains a challenge forming a good basis for further empirical investigation. This paper provides an assessment of the post-merger commercial bank performance in Kenya over the period 2008 to 2019 using return on equity as a proxy for bank performance. The target population for this study comprised all 13 commercial banks operating in Kenya between the year 2008 and the year 2019. The study used purposive sampling to select thirteen (13) commercial banks that had undergone mergers and acquisitions in Kenya over eleven years (from 2008 to the year 2019). The study finds that the post-merger effect of mergers and acquisitions on financial performance is mixed. Some commercial banks reported improved ROEs while a few reported declining ROEs during the study period. To enhance performance, the study recommended that commercial banks should prioritize M&A opportunities that align with their long-term strategic goals. This might include expanding into new geographic regions, entering new markets, diversifying product offerings, or gaining access to new technologies. Banks should assess the potential risks associated with the M&A transaction, including credit risk, operational risk, and reputational risk. Develop strategies for mitigating these risks and ensuring a smooth transition. Keyword: Mergers, Strategy, Acquisitions, Performance, Return on Equity, Synergies, profitability.
Particle swarm optimization of electric power generation via green hydrogen considering the performance of the electrolyzer cell
Authors: Costa Denis Carlos Lima , Nunes Marcus Vinícius Alves , Pereira Júnior Rodrigo Antônio , Soares Jaiza de Souza , Freitas Tatiana Pará de , Pinheiro Klewton Adriano Oliveira , Costa Heictor Alves de Oliveira , Silva Silvio Tadeu Teles da
Published: April 2024

The replacement of energy generation models, from fossil fuels to carbon neutral ones, requires a significant transformation in the generation and consumption of electricity. This work highlights Green Hydrogen as an essential potential to intensify the energy generation process based on renewable sources. The article presents two studies on energy generation models, via Green Hydrogen: Case (i), study of the behavior of the Electric Activation Voltage with ohmic loss influenced by the control variables Electric Current and Operating Temperature. Case (ii), study of the behavior of the Electric Activation Voltage with ohmic loss influenced by the control variables Electric Current and Operating Pressure. For both cases, a computational model stands out, the Proton Exchange Membrane electrolyzer cells, indicated for the generation of renewable energy, from Green Hydrogen. For both cases, a Bioinspired Computing methodology was applied in order to optimize the process. The Optimization technique means, among the various definitions, determining the best set of results, considering the restrictions of the studied phenomenon. Studies indicate that this strategy is increasingly intrinsic to our reality. This paper advocates Particle Swarm Optimization as a mechanism capable of finding the best set of solutions for mathematical models related to Energy Systems. The Swarm Algorithm can be represented as a set of particles that navigate through a space of solutions, where the main element of this method is the exchange of information between the particles of the population, which allows collective mobilization towards the optimal solution. In this case specifically, the values of Electrical Voltage, Electrical Current, Operating Temperature and Pressure form the Particle Examination. The results were exceptional for the Green Hydrogen energy generation system studied. The Particle Swarm Optimization Algorithm was applied to the objective function of multiple variables and satisfactorily incorporated the restrictions and conditions of the electrolysis system. The measurements obtained highlight that the Optimal Values are lower than the Average Values, for each variable analyzed in energy generation, in an electrolyzer. The solution achieved will be of great applicability in the study of energy efficiency in structures linked to this relevant category of renewable energy generation.
The Contributing Factors of High Consumer Loyalty to Jellycat Brand
Authors: Chen Zhiyi
Published: April 2024

E-commerce platforms and social media have made brand-consumer connections easier in China. Jellycat has gained social media traffic due to its innovative product design. Jellycat brand products usually attract youthful consumers, who buy them consistently and build brand loyalty. This study examined Jellycat's brand loyalty factors. Consumer behavior, psychology, and marketing theories were used to draw conclusions from Jellycat's purchase data. Factor one: Jellycat's product design, which uses personification and inspiration from everyday objects to make toys, refreshes and gains customers. The essay advises the corporation to closely regulate product quality to attract long-term customers. Second, an emotional bond Jellycat's anthropomorphic toys help consumers who feel stressed and lonely during societal growth form profound emotional bonds. The article advises that the brand formally establish social media discussion groups to strengthen the emotional tie, increase brand-customer interactions, and boost loyalty. Brand recall comes in third. Due to its high traffic and visibility, the brand has a large social media following and is ready to buy. The report suggests Jellycat use social media influencers to boost brand awareness and loyalty.