bluuebunny/crossref_metadata_2025 huggingface dataset:
NICER, NuSTAR, and Insight-HXMT Views to the Newly Discovered Black Hole X-Ray Binary Swift J1727.8-1613
Authors: Peng Jing-Qiang , Zhang Shu , Shui Qing-Cang , Zhang Shuang-Nan , Kong Ling-Da , Chen Yu-Peng , Wang Peng-Ju , Ji Long , Qu Jin-Lu , Tao Lian , Ge Ming-Yu , Chang Zhi , Li Jian , Li Zhao-sheng , Yu Zhuo-Li , Yan Zhe
Published: January 2024

Swift J1727.8–1613 is a black hole X-ray binary newly discovered in 2023. We perform spectral analysis with simultaneous Insight-HXMT, NICER, and NuSTAR observations when the source was approaching the hard intermediate state. Such a joint view reveals an additional hard component apart from the normally observed hard component with reflection in the spectrum, to be distinguished from the usual black hole X-ray binary systems. By including this extra component in the spectrum, we have measured a high spin of

0.98

−
0.07

+
0.02

and an inclination of around

40

−
0.8

+
1.2

°, which is consistent with NICER results reported before. However, we find that the additional spectral component cannot be exclusively determined due to the model degeneracy. Accordingly, a possible jet/corona configuration is adjusted to account for the spectral fitting with different model trials. The extra component may originate either from a relativistic jet or a jet base/corona underneath a slow jet.
NE2001p: A Native Python Implementation of the NE2001 Galactic Electron Density Model
Authors: Ocker Stella Koch , Cordes James M.
Published: January 2024

The Galactic electron density model NE2001 describes the multicomponent ionized structure of the Milky Way interstellar medium. NE2001 forward models the dispersion and scattering of compact radio sources, including pulsars, fast radio bursts, active galactic nuclei, and masers, and the model is routinely used to predict the distances of radio sources lacking independent distance measures. Here we present the open-source package NE2001p, a fully Python implementation of NE2001. The model parameters are identical to NE2001 but the computational architecture is optimized for Python, yielding small (<1%) numerical differences between NE2001p and the Fortran code. NE2001p can be used on the command-line and through Python scripts available on PyPI. Future package releases will include modular extensions aimed at providing short-term improvements to model accuracy, including a modified thick disk scale height and additional clumps and voids. This implementation of NE2001 is a springboard to a next-generation Galactic electron density model now in development.
Morphological and Spectral Characterization of Lunar Regolith Breakdown due to Water Ice
Authors: Shackelford A. , Donaldson Hanna K. L. , Horton M. , Noce D.
Published: January 2024

Remote sensing observations of the Moon suggest that the lunar polar regolith environment is affected by several natural processes that may cause the regolith in these regions to become more porous and fine particulate. One of these processes may be the mechanical breakdown of regolith particles through the interaction of water ice and regolith by frost wedging. We present morphological and spectral analyses of high-fidelity lunar regolith simulants LHS-1 (lunar highlands simulant-1) and LMS-1 (lunar mare simulant-1) that have been exposed to varying concentrations of water ice (1, 10, and 30 wt%) over extended periods of time (1, 3, and 6 months) to evaluate the extent at which lunar regolith may be weathered by ice-regolith interactions in the Moon’s polar regions. To characterize changes in regolith particle morphology, we explored grain size and shape parameters with the CILAS ExpertShape suite and characterized the abundance and evolution of clinging fines with scanning electron microscopy and energy dispersive X-ray spectroscopy. Reflectance spectra were taken from 1.0–22.5 μm (444.4–10,000 cm−1) to characterize any differences in spectral features that may occur as a result of regolith breakdown. Both the morphological and spectral investigations display trends that show simulant particle degradation as a function of composition, increasing water concentration, and freezing time. Our study demonstrates that the lunar regolith is susceptible to mechanical breakdown in the presence of water ice and that water ice is likely a contributor to the weathering environment within permanently shadowed regions on the lunar surface.
Prostaglandin-Induced Macular Hole: A Brief Report
Authors: Alsoudi Amer F. , Anderson Joseph T. , Wong Tien P. , Schefler Amy C.
Published: January 2024

This case series reports on two patients who developed macular holes while on prostaglandin analogs (PGA) therapy. The first case involves a 63-year-old woman with a history of a macular hole of the left eye that had spontaneously closed. After starting PGA therapy for elevated intraocular pressure, cystoid macular edema formed, which resulted in reopening of the macular hole. The second case involves a 64-year-old man with primary open-angle glaucoma, on PGA therapy, with a newly diagnosed small macular hole of the right eye that closed after cessation of the PGA therapy. These cases demonstrate an association between prostaglandin analogs and the formation or reopening of full-thickness macular holes.

[
Ophthalmic Surg Lasers Imaging Retina
2024;55:112–115.]
Long-Term Visual Outcomes in Patients With Idiopathic Epiretinal Membrane Surgery
Authors: Steinkerchner Megan S. , Russell Matthew W. , Sharma Neha , Kumar Madhukar , Talcott Katherine E. , Singh Rishi P.
Published: January 2024

Background and Objective:

Our aim was to assess long-term outcomes following surgical repair of idiopathic epiretinal membrane (ERM) with pars plana vitrectomy (PPV) and membrane peel (MP).

Patients and Methods:

A retrospective study evaluated patients with idiopathic ERM who underwent surgical repair at a single academic tertiary center with five to nine years of postoperative follow-up, assessing preoperative characteristics, surgical techniques, best visual acuity (BVA), and optical coherence tomography biomarkers at various time points.

Results:

The study involved 67 patients (72 eyes) with an average postoperative follow-up of 82.8 ± 18.8 months. Patients with cone outer segment tips integrity at initial presentation and 1-year follow-up and patients with external limiting membrane and ellipsoid zone integrity at 1-year follow-up were noted to have significantly better long-term visual acuity than those without. More than 85% of patients achieved a BVA > 70 seven years after surgical repair.

Conclusions:

Vitreoretinal surgery for idiopathic ERM resulted in improved anatomical recovery and sustained visual acuity gain over long-term follow-up.

[
Ophthalmic Surg Lasers Imaging Retina
2024;55:70–77.]
Anisotropic $ (\vec{p}, \vec{q}) $-Laplacian problems with superlinear nonlinearities
Authors: Amoroso Eleonora , Sciammetta Angela , Winkert Patrick
Published: January 2024

In this paper we consider a class of anisotropic $ (\vec{p}, \vec{q}) $-Laplacian problems with nonlinear right-hand sides that are superlinear at $ \pm\infty $. We prove the existence of two nontrivial weak solutions to this kind of problem by applying an abstract critical point theorem under very general assumptions on the data without supposing the Ambrosetti-Rabinowitz condition.
Pointwise-in-time $ \alpha $-robust error estimate of the ADI difference scheme for three-dimensional fractional subdiffusion equations with variable coefficients
Authors: Xiao Wang , Yang Xuehua , Zhou Ziyi
Published: January 2024

In this paper, a fully-discrete alternating direction implicit (ADI) difference method is proposed for solving three-dimensional (3D) fractional subdiffusion equations with variable coefficients, whose solution presents a weak singularity at $ t = 0 $. The proposed method is established via the L1 scheme on graded mesh for the Caputo fractional derivative and central difference method for spatial derivative, and an ADI method is structured to change the 3D problem into three 1D problems. Using the modified Grönwall inequality we prove the stability and $ \alpha $-robust convergence. The results presented in numerical experiments are in accordance with the theoretical analysis.
Engaños y desengaños del prólogo “Al que leyere” del Honesto y entretenido sarao de María de Zayas
Authors: Bonilla Cerezo Rafael
Published: January 2024

Este artículo publica las fuentes del prólogo “Al que leyere” de la primera parte del Honesto y entretenido sarao [Novelas amorosas y ejemplares] (1637) de María de Zayas, una suerte de plagio del proemio y el “Discurso primero” de la Historia de Hipólito y Aminta (1627) de Francisco de Quintana. También se razona cómo Zayas, al socaire del exordio “Al bien intencionado” que Juan Pérez de Montalbán firmó para Tiempo de regocijo y carnestolendas de Madrid (1627) de Alonso de Castillo Solórzano, tuvo alguna voz en la polémica desde 1625 a 1629 sobre las cultas colecciones de Juan de Piña.
Historia e historiografía del arcaísmo léxico
Authors: Jiménez Ríos Enrique
Published: January 2024

El objetivo del artículo es contribuir a la historia e historiografía del arcaísmo léxico. Se examina su tratamiento y consideración en obras de distinto tipo, fecha y autoría. Los repertorios léxicos lo recopilan, documentan y conservan; destaca el Diccionario de la Real Academia Española al defender, en algunas ediciones, su rehabilitación. Participa con ello de una idea presente en autores del siglo XIX, motivada por una situación lingüística determinada. La conclusión es que los arcaísmos son un elemento del pasado, voces caídas en desuso, que, sin dejar de serlo, cumplen una función en la lengua.
COVID-19, Digital Transformation, Consumers' Experience
Authors: Vale Vera T. , Baptista Bárbara Martins , Faria Sílvia M. P. S.
Published: January 2024

Covid-19 and repercussions on a global scale made individuals see their lives interrupted, having to adapt to different contexts of everyday life. They saw their shopping habits and priorities changed, especially in terms of food. The study aims to analyze which factors have become more and less valued by Portuguese retail food buyers during and after this unusual time period. It also wants to see digital evolution's impact in off and online consumption. A quantitative study was developed through a questionnaire to a final sample of 404 Portuguese consumers. Data shows a huge importance to the stores' hygiene and high insecurities related to products' quality, freshness, and preservation. It also shows that individuals purchased more in physical stores, despite confinement and restrictions. Digital and e-commerce are just sources of information. A major limitation of the study is the use of a non-probabilistic convenience sample, despite the good number of participants. However, it proves that an omnichannel strategy is crucial to promote customers' satisfaction and loyalty.
Learners' Views on Digital Learning Path-Based English Grammar Microlessons
Authors: Busack Eirini
Published: January 2024

This study aimed to investigate whether digital learning paths (DLPs) could be used as a basis for producing engaging English grammar microlessons at secondary school level, and whether this microlesson format could reignite learners' enthusiasm for English grammar and improve their long-term language proficiency. Therefore, the study used a mixed methods research design with an online questionnaire containing quantitative and qualitative questions. Data was collected using a Google Forms questionnaire that contained 14 multiple-choice questions. Students completed the questionnaire anonymously on their tablets immediately after DLP-supported English grammar lessons. Altogether there were 40 participants. The results showed that DLP-based microlessons should ideally be ten minutes long and include one or two interactive exercises, multimedia grammar explanations and formative assessment opportunities. It was also found that most students thought that such micro-lessons could rekindle their interest in learning English grammar and improve their English language skills over time.
The Evolution of a Training Program on Mental Health and Dyslexia
Authors: Martens Monica , Hawkins Jacqueline M. , Hassett Kristen S. , Alba Celeste , Reis Nancy , Rigby-Wills Hope , Thompson Amber , Laurence Velvette R.
Published: January 2024

Our region faces many challenges, including how to support students with mental health and reading barriers, who are at risk for not thriving in school and beyond. Recently, Texas mandated that teachers become more proficient at identifying these challenges. Improved awareness leads to better identification and support. As a result, teacher preparation programs were tasked with improving their curriculums without adding time to degree-completion. Well-designed micro-lessons within modules are a solution. They can be diversified to address educators' needs at different professional stages and roles. They also can support adults in gaining traction in problem-solving together. Attaining this collective state of awareness-to-action remains a challenge for those who train and develop the workforce. Yet urgent problems of practice remain—threatening progress in achieving a more equitable educational system. This chapter explains how the authors managed this improvement work.
AI-Driven Decision-Making and Optimization in Modern Agriculture Sectors
Authors: Jebadurai D. Joel , V. Sheela Mary V. , Rajeshkumar L. , Soundarya M. , Rathi Meena  , Manickam Thirupathi , G. Hudson Arul Vethamanikam , Dheenadhayalan K. , Manikandan M.
Published: January 2024

AI-driven decision-making tools have emerged as a novel technology poised to replace traditional agricultural practices. In this chapter, AI's pivotal role in steering the agricultural sector towards sustainability is highlighted, primarily through the utilization of AI techniques such as robotics, deep learning, the internet of things, image processing, and more. This chapter offers insights into the application of AI techniques in various functional areas of agriculture, including weed management, crop management, and soil management. Additionally, it underlines both the challenges and advantages presented by AI-driven applications in agriculture. In conclusion, the potential of AI in agriculture is vast, but it faces various impediments that, when properly identified and addressed, can expand its scope. This chapter serves as a valuable resource for government authorities, policymakers, and scientists seeking to explore the untapped potential of AI's significance in agriculture.
Business Drivers in Promoting Digital Detoxification
Authors: Shukla Rishi Prakash
Published: January 2024

In today's hyper-connected world, the constant use of digital devices and online platforms has become an integral part of daily life. While these technologies offer numerous advantages in terms of communication, productivity, and information access, they also bring about significant challenges, including digital addiction, burnout, and decreased well-being. The need for digital detoxification has emerged as a critical concern for both individuals and organizations. This chapter proposes to explore how businesses can play a pivotal role in promoting digital detoxification among their employees.
Dangers of Digital-Only Financial Inclusion
Authors: Ozili Peterson K.
Published: January 2024

The literature has not extensively examined the dangers of digital-only financial inclusion. The purpose of this chapter is to highlight the dangers of digital-only financial inclusion (DOFI). Using the discourse analysis method, the study showed that digital-only financial inclusion may be difficult to achieve when there is uneven availability and uneven access to digital devices. It was also argued that digital-only financial inclusion could lead to high cost of internet broadband, and it places much emphasis on accelerating digital access rather than protecting users who use digital finance platforms. Furthermore, it pays little attention to risk mitigation, and produces digital ID schemes that enable government surveillance. It also prioritizes digital access rather than financial health; and makes it easier to perpetrate fraud using digital means. Finally, it can enable the endless pursuit of power, and it prioritizes a digital version of financial inclusion at any cost.
The Role of FinTech in Advancing Green Financing
Authors: Thapliyal Kanika , Gupta Chandan , Jindal Priya
Published: January 2024

An essential structural modification that is needed to halt the earth's rising temperature and advance ecological sound practices is through promoting green finance with increasing support of technological innovations. Technological innovations have the potential to accelerate green finance growth while balancing bank sustainability and profitability. Green finance as a financial tool can assure that both the economy and the environment can grow sustainably. Since its emergence, the presence of FinTech based on big data and artificial intelligence technology can be noticed in various fields. In light of the numerous advantages FinTech provides, it can be employed in blossoming green finance. Hence, the chapter aims to demonstrate the role of fintech in promoting green finance. This chapter also focuses on green finance, green finance's importance, projects that come under green finance, and the economic benefits green finance provides. Finally, this chapter explores the association between green finance, fintech, and environmental sustainability.
Artificial Intelligence
Authors: Aktaş Burak Nedim
Published: January 2024

This chapter explores the transformative role of technology, particularly artificial intelligence (AI), in reshaping leadership within organizational contexts. The ongoing advancement of technology has brought about significant changes in the workplace, particularly in relation to the roles of AI automation, that has led to a reevaluation of conventional job responsibilities and a restructuring of the path humans interact with computers. Based upon pre-existing research pertaining to the convergence of AI and leadership, this chapter provides an analysis of the effects of AI-driven transformations on leadership styles and the consequent need for the cultivation of new leadership competencies. The chapter places significant emphasis on the need of connecting AI capabilities with leadership attributes, underscoring the importance of achieving congruence between AI and leadership providing insights into the manner in which AI impacts strategic decision-making procedures, possible ethical considerations, and the prospective trajectory of leadership in the period dominated by AI.
Role of Human Resource Management on Strategic Management
Authors: Caylan Senay
Published: January 2024

Strategic human resource management (SHRM) is a field of study and practice that focuses on the alignment of human resource strategies and practices with the overall strategic objectives of an organization. It recognizes the critical role that human capital plays in driving organizational success and competitive advantage. By integrating HR practices with strategic goals, SHRM aims to maximize the performance, engagement, and development of employees, ultimately contributing to the achievement of organizational objectives. A thorough understanding of SHRM is essential for organizations seeking to optimize their human resources and gain a competitive edge in today's dynamic business environment. In this literature review, the authors delve into the existing research and explore the various aspects of SHRM, shedding light on its theoretical foundations, practical applications, and the potential benefits it offers to organizations.
Important Aspects of Food Home-Business Sales Based on Customer Review in Shopee
Authors: Yusof Siti Malihah Mohd , Othman Zulaiha Ali , Tiun Sabrina
Published: January 2024

Business opportunities are expanding on e-commerce platforms such as Lazada, Shopee, and e-Bay. However, the Shopee app has the highest user statistics in Malaysia, making it the most suitable platform for small traders like B40 (bottom 40% income) women in Malaysia. Many B40 women experience problems identifying suitable products for sale, as well as improving their product quality. A study of customer reviews to identify the most important attributes of online food products was conducted. A Shopee scraper tool was built to acquire a home-business product dataset. Fourteen attributes were analyzed, and the top five most influential attributes were identified for both positive and negative reviews. The results show that the attributes that have the highest overall impact on online home-business food sales are taste, price, appearance, and texture as well as package condition, delivery service, and free gifts. It is noted that daily snacks and side dishes to go with main meals are suitable for year-round sales, while seasonal cookies are usually in demand only during festive seasons.
Research on Multi-Parameter Prediction of Rabbit Housing Environment Based on Transformer
Authors: Liu Feiqi , Yang Dong , Zhang Yuyang , Yang Chengcai , Yang Jingjing
Published: January 2024

The rabbit breeding industry exhibits vast economic potential and growth opportunities. Nevertheless, the ineffective prediction of environmental conditions in rabbit houses often leads to the spread of infectious diseases, causing illness and death among rabbits. This paper presents a multi-parameter predictive model for environmental conditions such as temperature, humidity, illumination, CO2 concentration, NH3 concentration, and dust conditions in rabbit houses. The model adeptly distinguishes between day and night forecasts, thereby improving the adaptive adjustment of environmental data trends. Importantly, the model encapsulates multi-parameter environmental forecasting to heighten precision, given the high degree of interrelation among parameters. The model's performance is assessed through RMSE, MAE, and MAPE metrics, yielding values of 0.018, 0.031, and 6.31% respectively in predicting rabbit house environmental factors. Experimentally juxtaposed with Bert, Seq2seq, and conventional transformer models, the method demonstrates superior performance.
An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis
Authors: Li Wanwan , Cai Ying , Hanafiah Mohd Hizam , Liao Zhenwei
Published: January 2024

Thanks to the rapid growth of cross-border e-commerce platforms, numerous cross-border items are now available to customers. Several serious issues with cross-border e-commerce platforms related to item promotion and consumer product screening have arisen. Particular importance should be placed on studying and implementing personalized recommendation systems based on international e-commerce. In light of the quick expansion of commodities, when making individualized suggestions, traditional recommendation algorithms have had to deal with issues such as scant data, a chilly start to the market, and trouble identifying user preferences. To automatically mine the implicit and latent relationships between users and objects in recommendation systems, this study employs deep learning with nonlinear learning capabilities, which resolves the challenges of user interest mining. The weaknesses of the existing global recommendation research are emphasized, the study of conventional recommendation algorithms mixed with deep learning technology is deep factorization machine (DeepFM) and neural matrix factorization (NeuMF) models. Both models excel in recommending implicit feedback data. The DeepFM model yields the lowest loss function values, while the NeuMF model outperforms the competing models in terms of HR@20 (a commonly used indicator to measure the recall rate) and loss functions. In summary, this research addresses critical issues in cross-border e-commerce by developing personalized recommendation systems and integrating deep learning with traditional recommendation algorithms to enhance global recommendations.
Enhancing Learners' Performance in Contest Through Knowledge Mapping Algorithm
Authors: Luo Zhilin , Shao Xuefeng , Ma Xiaochun
Published: January 2024

The fairness of vocational contest scoring is key to generating reliable competency assessments. This study examined the performance impact of the motivation of English-as-a-foreign-language learners in contests with vocabulary knowledge antecedents in the contexts of artificial intelligence (AI) and blockchain (BC). The sample comprised 185 participants of an oral English contest at higher vocational institution in China. AI-powered scoring of learners' contest performance and a survey were used to collect data. The findings revealed that learners' intrinsic drive was the main positive factor, outweighing their extrinsic motivation, and that AI and BC increased the trustworthiness and integrity of contest records, thus providing new opportunities to build learner trust and form psychological incentives. This study enriches foreign language motivation theory in the context of contest research and highlights the importance of using AI and BC to enhance the scoring accuracy and credibility of contests as authoritative evaluation instruments in vocational education.
Intelligent Productivity Transformation
Authors: Liu Bojing , Li Mengxiang , Ji Zihui , Li Hongming , Luo Ji
Published: January 2024

With the penetration of deep learning technology into forecasting and decision support systems, enterprises have an increasingly urgent need for accurate forecasting of time series data. Especially in fields such as finance, retail, and production, immediate and accurate predictions of market trends are the key to maintaining a competitive advantage. This study aims to address the limitations of traditional time series forecasting methods, such as the difficulty in adapting to the nonlinearity and non-stationarity of the data, through an innovative deep learning framework. The authors propose a Prophet model that combines deep learning with LSTNet and statistics. In this way, they combine the ability of LSTNet to handle complex time dependencies and the flexibility of the Prophet model to handle trends and periodicity. The particle swarm optimization algorithm (PSO) is responsible for tuning this hybrid model, aiming to improve the accuracy of predictions. Such a strategy not only helps capture long-term dependencies in time series, but also models seasonality and holiday effects well.
Memory-like NK Cells Are a Critical Component of Vaccine-Induced Immunity to Trypanosoma cruzi Infection
Authors: Horta Aline L , Gigley Jason , Boutet Marie , Lavau Gregoire , Weiss Louis M , Huang Huan
Published: January 2024

Chagas disease by Trypanosoma cruzi infection is a major public health issue. The available therapeutic agents have limited efficacy and significant side effects. A reliable vaccine would reduce the threat of T. cruzi infections and prevent Chagas disease. Understanding the immune response to this infection would improve vaccine design. We previously demonstrated that adoptively transferred NK cells from mice immunized with highly attenuated T. cruzi, GFP-DDDHA strain, provided potent protection in naive recipients against secondary lethal challenge with various wild-type (WT) strains. To understand the importance of NK cells in protecting mice against T. cruzi infection, we performed an in-depth characterization of NK cell phenotype, responses, and memory-like traits during acute infections due to GFP-DDDHA and WT strains and in immunized mice during a recall response to a WT lethal challenge. NK cells robustly expanded and became more mature and cytolytic during the GFP-DDDHA strain immunization. NK cells in immunized mice responded more robustly after WT lethal challenge than during an acute primary WT infection. In addition, protection by immunization with the GFP-DDDHA strain is significantly weakened in NK cell–deficient mice and did not prevent parasitemia from WT lethal challenge, indicating that NK cells with memory-like traits were a critical component for early control of WT lethal challenge. Prior T. cruzi vaccine development studies have not included studies of this rapid NK response. These findings provide insights into overcoming existing challenges in developing a safe and effective vaccine to prevent this infection.
2/1 dose schedule of sunitinib is superior than the 4/2 regimen for the first-line therapy of clear cell metastatic renal cell carcinoma – An Indian experience
Authors: Jaipuria Jiten , Jain Ankita , Gupta Shashikant , Sadasukhi Nripesh , Kasaraneni Priyatham , Singh Amitabh , Gupta Kush , Sharma Girish , Talwar Vineet , Rawal Sudhir Kumar
Published: January 2024

Background:

Sunitinib remains the first-line treatment for favorable risk metastatic clear cell renal cell cancer (mccRCC). It was conventionally given in the 4/2 schedule; however, toxicity necessitated trying the 2/1 regimen. Regional variations in treatment response and toxicity are known, and there is no data from the Indian subcontinent about the outcomes of the alternative dosing schedule.

Methods:

Clinical records of all consecutive adult patients who received sunitinib as first-line therapy for histologically proven mccRCC following cytoreductive nephrectomy from 2010–2018 were reviewed. The primary objective was to determine the progression-free survival (PFS), and the secondary objectives were to evaluate the response rate (objective response rate and clinical benefit rate), toxicity, and overall survival. A list of variables having a biologically plausible association with outcome was drawn and multivariate inverse probability treatment weights (IPTW) analysis was done to determine the absolute effect size of dosing schedules on PFS in terms of “average treatment effect on the treated” and “potential outcome mean.”

Results:

We found 2/1 schedule to be independently associated with higher PFS on IPTW analysis such that if every patient in the subpopulation received sunitinib by the 2/1 schedule, the average time to progression was estimated to be higher by 6.1 months than the 4/2 schedule. We also found 2/1 group to have a lower incidence than the 4/2 group for nearly all ≥ grade 3 adverse effects. Other secondary outcomes were comparable between both treatment groups.

Conclusion:

Sunitinib should be given via the 2/1 schedule in Indian patients.
Assessment of educational environment of midwifery students in Auxillary Nurse and Midwifery Institutes, Tamil Nadu – A descriptive study
Authors: Govindarajulu Srinivas , Rajasekar Geetha , Anbazhagan Rakesh , Muthuvel Thirumugam , Subhavaishnavi B. , Maanasa R. , Srijayanth Parameswari
Published: January 2024

Introduction:

Tamil Nadu has a well-established public health-care delivery system with the Auxiliary Nurse and Midwifery (ANM) or Village Health Nurses. They learn and qualify for their job from ANM institutes and become the key field level functionary who interacts directly with the community. Their ability to provide quality community care is largely determined by the quality of ANM education they receive during their training. Hence, this study aimed to assess the perception of these students to facilitate a conducive educational environment.

Methods:

A descriptive study was carried out among 244 ANM students from across 10 randomly selected government ANM schools in Tamil Nadu. A self-administered Dundee Ready Educational Environment Measure (DREEM) questionnaire was used for assessment. The data was analyzed using EpiData.

Results:

Among the 244 students enrolled in the study, the mean (standard deviation) global DREEM score was 167.39 (±18.06). Student's academic perception was the highest (91%), followed by student's perception of atmosphere (84.2%), learning (84%), and teachers (83.5%), and the least average score was from student's social self-perception (74%).

Conclusion:

The study showed the nursing students' view on their academic learning environment as “more positive than negative,” Centers were also considered excellent, and this assessment would provide an useful guide into the areas that students felt “good” about, which should be reinforced and the weaker areas that need to be strengthened for better services.
Quality of life and its determinants in people living with Human Immunodeficiency Virus infection in Kannur District, Kerala
Authors: Pradeesh C. B. , Dev Sahya S. , Sivadasan Prathyush , Sobhith V. K.
Published: January 2024

Introduction:

The prevalence of Human Immunodeficiency Virus (HIV) infection in India is on decline. Since the introduction of Anti Retroviral Therapy, the survival of HIV positives has improved a lot. HIV/acquired immunodeficiency syndrome (AIDS) is now a chronic yet manageable disease. However, social factors like stigma and discrimination still exist, affecting the quality of life (QoL) of people living with HIV (PLHIV)/AIDS. The objectives of the study were to assess the QOL among HIV-positive patients using the World Health Organization-QOL BREF (WHO-QOL BREF) questionnaire, the factors determining the QoL of HIV-positive patients, and the stigma and discrimination faced by HIV positives in the medical field.

Methods:

A cross-sectional study was done during the study period of 1 year. A total of 150 PLHIV from Kannur district in Kerala participated in the study. The WHO-QOL BREF, Scale and the HIV stigma scale were used to collect the data.

Results:

The QoL score found in the study was 15.36 ± 2.18, 2.18. The overall QoL was influenced by education, the Stigma Scale score, having a constant income or an increased income after diagnosis, and a Perceived Social Support Scale score. The study also found that 22% (33) of the participants faced stigma and discrimination from the medical field in one form or another.

Conclusion:

The study found that the QOL of PLHIV in the Kannur district of Kerala revealed no difference between men and women. The determinant factors for QOL were found to vary in each domain. Education was found to have a negative impact on QOL.
SMART REPELLER: A Smart system to prevent Rhesus Macaque Trespassing in Human Settlements and Agricultural Areas
Authors: R Radha , G Balaji , X Anita , N Mridhula
Published: January 2024

Rhesus macaque trespassing is a widespread problem where wild Rhesus macaque monkeys enter human settlements and agricultural areas, causing various issues such as property damage, food theft, and health risks to humans. These primates also cause significant economic losses by raiding crops, damaging plants, and disrupting the natural balance of the ecosystem. To address this problem, a research paper proposes a technology-based solution called Smart Repeller, which uses ultrasonic sound waves and Calcium Carbide Cannon, along with computer vision technology and artificial intelligence to detect the presence of monkeys and activate repelling mechanisms automatically. The proposed device eliminates the need for human intervention, making it efficient and cost-effective. Our paper aims to demonstrate the feasibility and effectiveness of the proposed device through experimental studies and simulations, with the ultimate goal of providing a practical and scalable solution to mitigate the problem of Rhesus macaque trespassing in human settlements and agricultural areas.
Development and Simulation Two Wireless Hosts Communication Network Using Omnnet++
Authors: Derbali Morched
Published: January 2024

A wireless network is a collection of computers and other electronic devices that exchange information by means of radio waves. Endpoint computing devices can all be connected without the need for hardwired data cabling thanks to the prevalence of wireless networks in today's businesses and networks. This paper's aim is to create and construct a wireless network model for connecting two hosts which will be implemented to simulate wireless communications. The sending of User Datagram Protocol (UPD) data by one of the hosts to the other one has been wirelessly specified by the simulator. Additionally, the protocol models were kept as simple as possible including both the physical layer and the lower layer. The architecture and functionality of a new simulator is showed its ability to solve the issues of making a host move, especially, when it gets out of the range the simulation ends.
Investigation of early symptoms of tomato leaf disorder by using analysing image and deep learning models
Authors: Vinta Surendra Reddy , Koshariya Ashok Kumar , Kumar S Sampath , Aditya  , Gottimukkala Annantharao
Published: January 2024

Despite rapid population growth, agriculture feeds everyone. To feed the people, agriculture must detect plant illnesses early. Predicting crop diseases early is unfortunate. The publication educates farmers about cutting-edge plant leaf disease-reduction strategies. Since tomato is a readily accessible vegetable, machine learning and image processing with an accurate algorithm are used to identify tomato leaf illnesses. This study examines disordered tomato leaf samples. Based on early signs, farmers may quickly identify tomato leaf problem samples. Histogram Equalization improves tomato leaf samples after re sizing them to 256 × 256 pixels. K-means clustering divides data space into Voronoi cells. Contour tracing extracts leaf sample boundaries. Discrete Wavelet Transform, Principal Component Analysis, and Grey Level Co-occurrence Matrix retrieve leaf sample information.
Six Sigma cho cải tiến quá trình trong sản xuất: Một nghiên cứu tình huống
Authors: Loan Nguyễn Thúy Quỳnh , Như Trần Thị Ánh , Chí Nguyễn Vương
Published: January 2024

Six Sigma là một trong những công cụ quản lý mạnh mẽ nhất được sử dụng để đạt được quá trình xuất sắc. Six Sigma được phát triển như một phương pháp cải tiến chất lượng thông qua việc loại bỏ các lỗi trong quá trình vận hành. Do đó, mục tiêu của nghiên cứu này là tổng quan lý thuyết Six Sigma và ứng dụng nó vào tình huống công ty A chuyên sản xuất nón bảo hiểm ở Việt Nam để giảm tỉ lệ lỗi lõi xốp của nón bảo hiểm. Tiến trình DMAIC (Define - Measure - Analyze - Improve - Control) của Six Sigma được ứng dụng trong dự án cải tiến này. Kết quả cho thấy lõi xốp có lỗi chính là Kết cấu. Từ đó, các nguyên nhân gốc rễ được phân tích và các giải pháp được đề xuất. Sau khi cải tiến, tỉ lệ lỗi Kết cấu giảm từ 1.15% xuống 0.38%, cấp độ Sigma tăng từ 3.77 và 4.17, chi phí chất lượng giảm đáng kể. Các yếu tố ảnh hưởng đến sự thành công của dự án thành công là lãnh đạo, sự tham gia của nhân viên, quản lý dự án và thu thập dữ liệu. Yếu tố rào cản của dự án là kênh giao tiếp giữa các cấp trong công ty.
Nghiên cứu các yếu tố ảnh hưởng đến ý định sử dụng chatbot của khách hàng: Góc nhìn tại Việt Nam
Authors: Cù Lê Xuân
Published: January 2024

Chatbot đã trở thành một công cụ tương tác hiệu quả giữa doanh nghiệp và khách hàng trong Thương Mại Điện Tử (TMĐT). Mục đích của bài viết là xác định sự ảnh hưởng của các yếu tố đến ý định sử dụng chatbot của khách hàng tại Việt Nam. Mô hình nghiên cứu được phát triển dựa trên lý thuyết xem xét kỹ lưỡng (ELM) và kết hợp với đặc trưng của chatbot (tính thông minh). Dữ liệu được thu thập từ 307 người mua hàng trực tuyến và có ý định sử dụng chatbot. Nghiên cứu sử dụng mô hình cấu trúc tuyến tính (SEM) để kiểm định giả thuyết nghiên cứu. Kết quả cho thấy hướng trung tâm (tính chính xác và sự phù hợp) và hướng ngoại vi (tính tin cậy) ảnh hưởng tích cực đến sự tin tưởng và cảm nhận hữu ích thông tin của chatbot. Sự tin tưởng, cảm nhận hữu ích thông tin, và tính thông minh đóng vai trò thúc đẩy ý định sử dụng chatbot. Nghiên cứu này phát triển mô hình hành vi sử dụng chatbot của khách hàng dựa trên lý thuyết ELM, trong khi các nghiên cứu trước chưa xem xét tác động của đặc điểm thông tin và đặc trưng của chatbot đến sử dụng chatbot cho mua sắm trực tuyến. Cuối cùng, nghiên cứu thảo luận một số hàm ý quản trị góp phần tăng cường chấp nhận sử dụng chatbot tại Việt Nam.
Covid-19 semantics of the selected social media posts affecting the lives of Filipinos
Authors: Mangompit Rowanne Marie , Pilapil Edwin , Marinas Allan , Licen Christian Ray , Un Aida Verga
Published: January 2024

Aiming to contribute in managing the health crisis in

attaining the Sustainable Development Goal 3, that is, ensuring

healthy lives and promoting well-being for all at all ages, this

study described and analyzed the experiences of Filipinos from the

Covid-19 terminologies and how these terms influenced their

sociocultural behavior. Textual analysis and interviews were

employed to gather and analyze the data. The Covid-19

terminologies were taken from the memos, news articles, and

social media posts of local government units. These terminologies

were validated in the Cambridge Dictionary, Oxford Dictionary,

and Coronavirus Corpus. Results revealed that the experiences of

the Filipinos from the Covid-19 terminologies pertain to the

activities and functioning, especially in following the protocols

and mental well-being that predominated the other types of wellbeing. Further, the experiences demonstrated the faith-based

resiliency, familial support, sense of humor, positivity, bayanihan

spirit and flexibility amidst adversities as sociocultural pattern of

Filipinos during the pandemic.
Exploring parent’s role, involvement and challenges in the most critical stage of their children’s development
Authors: Joemar Minoza , Mayeth Elloran
Published: January 2024

The role and involvement of the parents towards their

children’s education is indispensable especially in the formative

years. Nowadays, these crucial role and involvement has been

confronted by the uprising economic constraints in the Philippines

especially in the rural areas. Furhermore, empirical literatures

reported the decreasing parental involvement. Hence, the study aims

to explore parent’s role, involvement and challenges in the education

of their children in the formative years. This study used a qualitative

method of research employing phenomenological method of

investigation to gather necessary data through an interview guide

from 8 informants who were purposively chosen. Three major

themes were elicited: Parent’s role as Replica, Guide and Provider;

Limited involvement due to educational attainment, poverty and

livelihood; and Parents’ involvement as immense factor to children’s

success which imply that parents were fully aware of their respective

roles and that poverty, educational attainment and their livelihood

are the key factors affecting their roles. It was further revealed that

despite financial challenges, informants were still having positive

attitude towards the value of education in the success of their

children. It is concluded that informants are well aware of their

respective roles and involvement in the education of their parents

leading them to have a positive attitude on the value of education for

their children. It is recommended that extension or cause-oriented

programs be conceptualized to help parents in performing their

respective crucial roles.
Curriculum theory and practice: A comparative literature review
Authors: Frank Angelo Pacala Abayog
Published: January 2024

Curriculum has emerged over the past century from a simple

list of subject-specific outcomes to an intricate and holistic set of

experiences for students to grapple with. This comparative literature

review discusses the research related to curriculum theory and

practice. It draws upon a range of sources, from Mark K Smith’s

article on Curriculum Theory and Practice, theoretical discussions of

curriculum planning and evaluation, to empirical studies of

educational planning in varied contexts. The purpose of this research

is to evaluate the Theory of Smith as compared to other related

literatures on the curriculum theory and planning. This review

discussed curriculum being transmission of knowledge, as product,

as process, and as praxis. The findings found that all approaches to

curriculum development as a product of momentary articulations, as

well as a dynamic process of collective becoming and reflective

action. This paper found out that most literatures agree with the

theory of Smith. Therefore, this paper concluded that any type of

school curriculum should be viewed as a combination of a product,

process, and praxis.
Evidence-Based Intervention for Decreasing Chronic Kidney Progression in Patients with Type II Diabetes Mellitus
Authors:   , Johnson Lynn
Published: January 2024

Practice Problem: The overall management of Type II Diabetes Mellitus (DM II) and the complications that accompany along with comorbidities are debilitating and financially exhausting. The American Diabetes Association dietary recommends a consistent low-carbohydrate diet to maintain optimal blood glucose levels to prevent complications and progression of other comorbidities. Uncontrolled diabetes mellitus leads to the development of chronic kidney disease (CKD) which can lead to the progression to End Stage Renal Disease. PICOT: In patients in the outpatient setting aged 18 years and older(P), how does the ADA dietary guidelines for patients with type II DM(I) compared with patients self-reported diet(C) affect kidney function(O) within 8 weeks(T)? Evidence: An exhaustive literature search resulted in 68 peer-reviewed articles. A total of 10 were included after filtering for duplicates and keywords and evaluating for strength and quality evidence. Intervention: By implementing the DMQ-R questionnaire it provided guidance for the healthcare provider to establish behavioral characteristics that lead to poor diabetic control of those DM II with underlying CKD stage 3 and 4 which allowed appropriate education, referral to diabetic educators, or referral to an endocrinologist for more specialized treatments. In addition, the Urine -albumin (UrA) levels were monitored to track the progression of CKD and adequate blood glucose control that allowed proper interventions in the treatment regime. Outcome: The analysis of the evaluation data by implementing existing research findings shows the relationship between controlling blood sugar levels with a carbohydrate-controlled diet plan and the lack of progression of CKD. Conclusion: This project implemented the evidence-based practice by providing a behavioral tool, education, discussing with stakeholders, and having a collaborative team approach with other healthcare professionals. As the results the organization is aware of the significant difference that behavioral characteristics of a DM II has effects on their overall health outcomes.
ENSINO DA MATEMÁTICA PARA ALUNOS COM TRANSTORNO DO ESPECTRO AUTISTA
Authors: Guerra Avaetê de Lunetta e Rodrigues , Brasil Melca Moura , Vasconcelos Emanuella Silveira , Santana Elker Neri da Silva
Published: January 2024

O ensino da matemática para alunos com Transtorno do Espectro Autista (TEA) é uma tarefa complexa que demanda habilidades especiais por parte dos educadores e profissionais da área. No entanto, é possível criar métodos e abordagens inovadoras que tornem a aprendizagem mais acessível e adaptada às necessidades individuais desses alunos. Este estudo tem como foco o ensino da matemática para estudantes com autismo. Será investigada a forma como as particularidades do transtorno do espectro autista podem impactar o aprendizado matemático, além das estratégias pedagógicas que podem ser adotadas para tornar esse ensino mais eficiente e inclusivo. Será realizada uma revisão bibliográfica abrangente, com base em estudos científicos, livros e artigos relacionados ao ensino da matemática para alunos autistas. Em conclusão, o ensino da matemática para alunos com Transtorno do Espectro Autista é uma área que requer atenção e adaptações específicas para garantir o máximo de aprendizagem e inclusão. Ao reconhecer as dificuldades e necessidades individuais desses alunos, é possível criar estratégias e recursos que promovam um ambiente de ensino acolhedor e eficaz.