bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalencia y análisis clinicopatológico de pacientes con mutación en el gen PIK3CA con cáncer de mama avanzado Rh+/Her2- en el Instituto Oncológico Nacional De Panamá
Authors: Alcantara Jerez Daliana , Castillo-Fernández Omar
Published: May 2024

Antecedentes: La vía de señalización de la fosfoisitol 3-quinasa (PI3K), que promueve el crecimiento y el metabolismo de las células cancerosas, es la vía mutada con mayor frecuencia en el cáncer de mama y es asociada con quimio resistencia y mal pronóstico. En este estudio presentamos el primer análisis en población panameña y de la región, con ataciones precisas de la mutación PIK3CA, las características clinicopatológicas y pronóstico. Métodos: Estudio exploratorio, donde se recolectaron prospectivamente tumores de 74 pacientes con cáncer de mama metastásico RH+/Her2- del Instituto Oncológico Nacional entre 2022 y 2023. Se realizó un ensayo de PCR en tiempo real para análisis de mutación en ADN extraído del material tumoral fijado en formalina e incluido en parafina para detectar mutaciones en los exones 1, 4, 7, 9 y 20 del gen PIK3CA. Resultados: La mediana de edad de las pacientes estudiadas fue 59 años. La mutación en PIK3CA se encontró en 33.8% (25/74) de pacientes con cáncer de mama, entre ellas 44% fueron mutaciones en el exón 20, 38% en el exón 9, 13% en el exón 4 y 5% en el exón 1. Se observó una correlación significativa entre la mutación y el  tener historia de cáncer en la familia (p= 0.005), y en pacientes postmepáusicas (P = 0.045).  encontramos asociación entre la mutación y el tipo histológico, grado, tamaño tumoral ni estatus axilar al momento del diagnóstico. La mediana de supervivencia libre de progresión  se alcanzó en ambos grupos y tampoco demostró una diferencia significativa. Conclusión: La prevalencia de la mutación es relativamente alta comparada con escenarios internacionales, puede ofrecer una ventaja para elegir las mejores opciones de tratamiento por lo que debe evaluarse de forma rutinaria durante las intervenciones clínicas.
Pengaruh Pengalaman Pasien, Kepuasan Pelanggan Terhadap Loyalitas dengan Ewom Sebagai Mediasi pada Pasien Rawat Jalan di Rumah Sakit X Jawa Barat
Authors: Reny Sari Marlina  , Endang Ruswanti  , Erry Yudhya Mulyani
Published: May 2024

Riset ini bertujuan untuk menganalisis pengaruh pengalaman pasien, kepuasan pelanggan terhadap loyalitas pelanggan dengan eWOM sebagai mediasi pada pasien rawat jalan tenaga di rumah sakit umum X. Peserta penelitian ini berjumlah 156 orang yang mengisi kuesioner yang merupakan bagian dari penelitian Path Analysis dengan memanfaatkan Structural Equation Modeling (SEM) dengan software Smart Partial Least Square (PLS). Berdasarkan hasil analisis data ditemukan bahwa pengalaman pasien berpengaruh signifikant terhadap loyalitas pelanggan dengan mediasi eWOM, kepuasan pelanggan berpengaruh positif dan signifikan terhadap loyalitas pelanggan dengan mediasi eWOM. Penelitian ini juga menemukan bahwa meskipun pengalaman pasien tidak berdampak signifikan terhadap promosi (eWOM), namun kepuasan pelanggan berdampak signifikan. EWOM memiliki dampak besar terhadap loyalitas pelanggan, yang pada gilirannya dipengaruhi secara signifikan oleh pengalaman pasien dan kepuasan terhadap layanan yang mereka terima. Dimensi paling tinggi pada pengalaman pasien yaitu komunikasi perawat (55,6%), dimensi paling tinggi pada kepuasan pelanggan yaitu satisfaction toward Quality (72,1%), dimensi paling tinggi pada pada eWOM yaitu konten (67,2%), dimensi paling tinggi pada loyalitas pelanggan yaitu kesetiaan terhadap produk (75,9). Manajemen dan karyawan perlu melakukan pembenahan dan pengembangan pelayanan dengan penerapan EMR, meningkatkan paradigma costumer value, melakukan maintenance semua fasilitas utama dan pendukung, penyesuaian tarif biaya pelayanan dan obat dengan melakukan branchmarking ke rumah sakit terdekat, meningkatkan retensi dengan menyelenggarakan event-event, memberikan promosi atau diskon seperti memberikan MCU gratis, maupun diskon untuk biaya konsultasi, penjemputan gratis dengan ambulans dan penggunaan media sosial atau website rumah sakit untuk melakukan upload informasi kesehatan yang bervariasi yang melibatkan pelanggan RS.
9DF: a nine-dimensional framework for community engagement
Authors: Natarajan Lucy , Hassan Sara
Published: May 2024

Participatory planning literature has yet to fully engage with the situatedness of community engagement and diverse experiences of involvement. In this article, nine dimensions based in core concepts of engagement in decision-making are explored using data co-produced with community researchers. Empowerment, influence and inclusion are distinguished as: connection and legitimacy of voice; enacting change in development or plans; and the representation of minorities or disadvantaged groups. When articulated in terms of process and outcome, and planning context, they offer a nine-dimensional framework (or 9DF) for a more community-oriented evaluation of community engagement.
EXPLORING FACTORS INFLUENCING THE DIGITAL ECONOMY: UNCOVERING THE RELATIONSHIP STRUCTURE TO IMPROVE SUSTAINABILITY IN CHINA
Authors: Wang Jiangquan , Zhang Jun , Cifuentes-Faura Javier , Crenguta Ileana Sinisi , Zhao Xin
Published: May 2024

Digital economy is a great route to promote the efficient utilization of natural resources and promote sustainability due to its high-tech, rapid growth, extensive penetration, deep integration and other characteristics. Existing study on the influencing factors of the digital economy is not deep enough and lacks the analysis on the relationship structure of factors influencing the digital economy, which is not conducive for an overall grasp of the digital economy. To correctly understand how to better develop the digital economy, this paper studies its influencing factors and the relationships between them. Based on the time-series data of China from 2002 to 2018, grey correlation analysis was applied to calculate the correlation between these influencing factors and the digital economy, and determine the major influencing factors of digital economy development in China. The Granger causality test and a review of existing research were used to judge the interrelationship of various factors. The interpretative structure model was utilized to determine the relationship structure of the main factors affecting the development of China’s digital economy. The results show that the number of digital talents, state of the technology market, and degree of digitalization are direct influencing factors of the digital economy. The results help to better understand the development of the digital economy and will enable the implementation of policies to improve towards more sustainable cities.
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Authors: Tsai Shang-Min , Innes Hamish , Wogan Nicholas F. , Schwieterman Edward W.
Published: May 2024

Theoretical predictions and observational data indicate a class of sub-Neptune exoplanets may have water-rich interiors covered by hydrogen-dominated atmospheres. Provided suitable climate conditions, such planets could host surface liquid oceans. Motivated by recent JWST observations of K2-18 b, we self-consistently model the photochemistry and potential detectability of biogenic sulfur gases in the atmospheres of temperate sub-Neptune waterworlds for the first time. On Earth today, organic sulfur compounds produced by marine biota are rapidly destroyed by photochemical processes before they can accumulate to significant levels. Domagal-Goldman et al. suggest that detectable biogenic sulfur signatures could emerge in Archean-like atmospheres with higher biological production or low UV flux. In this study, we explore biogenic sulfur across a wide range of biological fluxes and stellar UV environments. Critically, the main photochemical sinks are absent on the nightside of tidally locked planets. To address this, we further perform experiments with a 3D general circulation model and a 2D photochemical model (VULCAN 2D) to simulate the global distribution of biogenic gases to investigate their terminator concentrations as seen via transmission spectroscopy. Our models indicate that biogenic sulfur gases can rise to potentially detectable levels on hydrogen-rich water worlds, but only for enhanced global biosulfur flux (≳20 times modern Earth’s flux). We find that it is challenging to identify DMS at 3.4 μm where it strongly overlaps with CH4, whereas it is more plausible to detect DMS and companion byproducts, ethylene (C2H4) and ethane (C2H6), in the mid-infrared between 9 and 13 μm.
JWST/MIRI Detection of Suprathermal OH Rotational Emissions: Probing the Dissociation of the Water by Lyα Photons near the Protostar HOPS 370
Authors: Neufeld David A. , Manoj P. , Tyagi Himanshu , Narang Mayank , Watson Dan M. , Megeath S. Thomas , Van Dishoeck Ewine F. , Gutermuth Robert A. , Stanke Thomas , Yang Yao-Lun , Rubinstein Adam E. , Anglada Guillem , Beuther Henrik , Caratti o Garatti Alessio , Evans Neal J. , Federman Samuel , Fischer William J. , Green Joel , Klaassen Pamela , Looney Leslie W. , Osorio Mayra , Nazari Pooneh , Tobin John J. , Tychoniec Łukasz , Wolk Scott
Published: May 2024

Using the MIRI medium-resolution spectrometer on JWST, we have detected pure rotational, suprathermal OH emissions from the vicinity of the intermediate-mass protostar HOPS 370 (OMC2/FIR3). These emissions are observed from shocked knots in a jet/outflow and originate in states of rotational quantum number as high as 46 that possess excitation energies as large as E

U
/k = 4.65 × 104 K. The relative strengths of the observed OH lines provide a powerful diagnostic of the ultraviolet radiation field in a heavily extinguished region (A

V
∼ 10–20) where direct UV observations are impossible. To high precision, the OH line strengths are consistent with a picture in which the suprathermal OH states are populated following the photodissociation of water in its

B

˜

−
X

band by ultraviolet radiation produced by fast (∼80 km s−1) shocks along the jet. The observed dominance of emission from symmetric (

A
′

) OH states over that from antisymmetric (A″) states provides a distinctive signature of this particular population mechanism. Moreover, the variation of intensity with rotational quantum number suggests specifically that Lyα radiation is responsible for the photodissociation of water, an alternative model with photodissociation by a 104 K blackbody being disfavored at a high level of significance. Using measurements of the Brα flux to estimate the Lyα production rate, we find that ∼4% of the Lyα photons are absorbed by water. Combined with direct measurements of water emissions in the ν
2 = 1 − 0 band, the OH observations promise to provide key constraints on future models for the diffusion of Lyα photons in the vicinity of a shock front.
Au service des comtes de Mortain (fin XI e -milieu XII e siècle)
Authors: Groud-Cordray Claude
Published: May 2024

Le comté de Mortain est apparu au milieu du xi e  siècle à la frontière occidentale du duché de Normandie. L’existence d’un pôle de pouvoir autour d’une forteresse, de plusieurs établissements religieux et d’un patrimoine domanial important suppose la présence d’une garnison, d’une cour, de clercs, d’intendants, de serviteurs… Les officiers du comte de Mortain – vicomte, prévôt, pincerna , camerarius  – émergent de la documentation à la fin du xi e  siècle. À côté de ces hommes, chapelains et chanoines de la collégiale jouent auprès des comtes de Mortain un rôle non négligeable, également auxiliaires pour l’administration et l’encadrement de l’Avranchin.
L’assemblée devant Caen (hiver 1434-1435) : une insurrection normande en faveur de Charles VII
Authors: Fiasson David
Published: May 2024

À l’hiver 1434-1435, en pleine guerre de Cent Ans, de nombreuses milices villageoises de basse Normandie tournèrent leurs armes contre les Anglais, maîtres du duché depuis sa conquête (1417-1419). Les insurgés convergèrent autour de Caen, mais ne parvinrent pas à s’en emparer. L’épisode a suscité une vive controverse historiographique depuis le xix e  siècle, récemment relancée. Faut-il y voir la démonstration de l’anglophobie latente de la population normande confrontée à l’occupant ? La preuve que la « nation France » n’existait pas seulement dans la propagande des Valois, mais aussi dans le cœur de leurs sujets, quand bien même ils avaient été contraints de prêter serment à la double monarchie ? Christophe Maneuvrier a proposé récemment une relecture originale de cet événement : une révolte frumentaire aurait été travestie en insurrection patriotique par la propagande des Valois. La présente étude vise à souligner les faiblesses de cette réinterprétation et à étayer la thèse d’un soulèvement anglophobe.
Jeanne Dumont, bourgeoise de Rouen : patrimoine et dévotions d’une héritière au XV e siècle
Authors: Scordia Lydwine
Published: May 2024

Trois fondations pieuses passées en 1468 devant les tabellions de la vicomté de Rouen (Arch. dép. de Seine Maritime, 2 E 1/197), permettent d’en apprendre plus sur Jeanne Dumont, mariée à Pierre Choinet, l’auteur du Rosier des guerres . Cette bourgeoise de Rouen est l’héritière de biens mobiliers et immobiliers qui ont été largement augmentés sous la monarchie lancastrienne. Le corpus tend à éclairer la position d’héritière de Jeanne Dumont, les pratiques patrimoniales du couple et les dévotions méticuleuses de la dernière année de vie de Jeanne.
Faire la liaison entre militaires et civils à la Libération : l’exemple du déploiement des Civil Affairs britanniques dans le Calvados à l’été 1944
Authors: Yverneau Guillaume
Published: May 2024

Les affaires civiles de l’armée britannique sont un des maillons essentiels au bon déroulement des opérations militaires alliées dans le nord-ouest de l’Europe à l’été 1944. Lors du débarquement allié, elles sont déployées dans le Calvados et certains détachements restent dans le département jusqu’au mois de mars 1945. Créées pour veiller à ce que les civils n’interfèrent pas avec les opérations militaires en cours, elles interviennent dans de multiples domaines d’actions : prise en charge des réfugiés, dialogue et travail avec les autorités civiles, gestion du ravitaillement des populations, etc. Elles sont en fait un intermédiaire entre les militaires et les civils, entre autorités alliées et françaises. La force de cette unité réside indéniablement dans sa capacité d’adaptation aux réalités du terrain. Cet article se propose donc d’étudier les relations entre militaires britanniques et populations civiles bas-normandes à travers le prisme d’une unité chargée de ces interactions.
Écrire avec la lumière
Authors: Chenu Godefroy Sandra
Published: May 2024

Dans l’univers du reportage documentaire et humaniste, la photographie nocturne occupe une place à part. Parce que la nuit influence le tempérament et les actions des hommes que le photographe immortalise. Mais aussi parce que photographier de nuit est une activité originale pour l’opérateur, privé de l’abondance de sources lumineuses disponibles le jour, qui convoque à la fois sa maîtrise technique et son imaginaire.
On a tous en nous quelque chose de Jacob
Authors: Dubois Véronique
Published: May 2024

Dès son incipit, la Genèse consigne le motif de la nuit comme pierre d’angle de l’édifice spirituel et temporel du monde. Les expériences nocturnes du patriarche Jacob (le rêve, la prière du soir, le combat nocturne contre l’ange) y définissent allégoriquement le rapport de l’Homme au monde. Elles recèlent forces morales et spirituelles, à partir desquelles ses héritiers spirituels ont bâti une nation capable de transformer les épreuves en défis, et les défis en expériences et enseignements. Peur, exemplarité, responsabilité, sens des épreuves…, autant de thèmes essentiels que la lecture juive de la nuit convoque. Parce qu’on a tous en nous quelque chose de Jacob.
De la Lune
Authors: Thoumieux Xavier
Published: May 2024

Quel rapport entre la Lune, l’astre de la nuit, et Cyrano de Bergerac ? Comment rapprocher ces deux morceaux d’une même pièce ? Quel lien mystérieux les unit au sein de la pièce d’Edmond Rostand ? Quelle symbolique est à l’oeuvre ? Cet article tente d’apporter quelques réponses…
South Korean Nurse Residency Program for New Graduates: A Posttest Study
Authors: Song Jihye , Kim Kyunghee , Jang Yunjung
Published: May 2024

Background:

Turnover rates among newly graduated nurses are high, increasing the workload for other nurses and hampering organizational productivity. This study investigates the effects of a nurse residency program (NRP), examining clinical competence, job satisfaction, organizational socialization, turnover intention, and turnover rates.

Method:

This study was conducted among newly employed graduate nurses in South Korea. Participants (
N
= 167) included nurses with less than 6 months of experience (NRP group,
n
= 52; control group,
n
= 115). The current results were measured 1 year after initiation of the NRP.

Results:

The NRP group showed significantly lower turnover intention and turnover rates and substantially better clinical competence, job satisfaction, and organizational socialization.

Conclusion:

Even when applied in the unique South Korean cultural and medical context, the NRP improved job performance and satisfaction as well as organizational socialization and reduced turnover rates and turnover intention among new nurses. Therefore, a systematized NRP should be actively used when new nurses are onboarded.

[
J Contin Educ Nurs.
2024;55(8):393–397.]
Care Needs of Older Adults With Urinary Incontinence: A Cross-Sectional Study
Authors: Xiang Su Ying , He Hao Chong , Liu Ye , Yu Bi Jun , Mai Shu Yuan , Li Meng Yuan , Yan Xiao Ying , Huang Xiao Hong
Published: May 2024

Purpose:

To explore care requirements of older adults with urinary incontinence (UI) and contributing factors.

Method:

This cross-sectional study used the Older Adults Urinary Incontinence Care Needs Inventory to survey participants with UI in three large-scale tertiary hospitals located in Guangzhou City, China, from January 2023 to November 2023. Statistical analyses, including analysis of variance,
t
tests, correlation analyses, and linear regression models, were conducted to assess factors influencing participants' care needs.

Results:

A total of 530 older adults with UI participated in the survey and mean standardized score for overall care needs was 78.65 (
SD
= 5.01), with mean scores for each dimension ranging from 70.88 (
SD
= 10.55) for social participation needs to 82.45 (
SD
= 7.11) for health education needs. Factors that were found to influence incontinence care needs in older adults included age, literacy level, number of leaks, and type of disease (F = 37.07, adjusted R
2
= 0.290,
p
< 0.001).

Conclusion:

Comprehensive care for older adults with UI, encompassing physiological, psychological, and social aspects, is crucial. It is essential to tailor care to individual needs and characteristics, taking into account factors, such as age and education, to ensure effective care. [
Journal of Gerontological Nursing, 50
(5), 43–49.]
Feasibility of a Physical Activity Index in Clinical Practice: Perspectives of Providers and Cancer Patients
Authors: Leitzelar Brianna N , Perna Frank , Bluethmann Shirley M.
Published: May 2024

In Brief

Physical activity is a common clinical recommendation for cancer survivors, yet the use of clinical tools to counsel patients is understudied. We developed an integrated Physical Activity Index to assist with this task. The purpose of this project was to conduct interviews to assess the feasibility and clinical utility of the Physical Activity Index from both provider and patient perspectives. Our findings indicate that a Physical Activity Index may be a useful tool to facilitate productive patient-provider communication about physical activity goals.
Navigating the Ethical Landscape
Authors: Bhardwaj Shivam , Sharma Mayank , Dixit Jitendra Kumar , Agrawal Vivek , Agarwal Sucheta , Saxena Ankit
Published: May 2024

This research delves into the complex and multifaceted relationship between artificial intelligence (AI) and ethical considerations in academic research. Using literature review and interview method, it highlights the immense potential of AI to streamline research processes and warns against potential pitfalls like data privacy breaches, algorithmic biases, and loss of research autonomy. The study emphasizes the crucial role of researchers in ensuring data integrity, maintaining research reproducibility, mitigating bias, and using AI responsibly. It advocates for robust data governance, open-source practices, and interdisciplinary collaboration to navigate the ethical landscape of AI-powered research. Recognizing the limitations of its scope and the dynamic nature of AI and ethical considerations, the research calls for continuous learning, adaptation, and development of ethical frameworks to ensure the responsible and ethical integration of AI in academic endeavors.
Nano-Omics Approaches for Studying Plant Growth, Yield, and Nutritional Value
Authors: Siddique Anaytullah , Aley Priyanka
Published: May 2024

The global population's exponential growth poses a challenge, demanding innovative solutions for sustainable crop yield and nutritional enhancement. Nano-omics, rooted in nanotechnology, revolutionizes agriculture. Nanoparticles (NPs) penetrate plant tissues for precise nutrient delivery, catalyzing peroxidase and catalase synthesis. This scavenges reactive oxygen species, reducing lipid peroxidation, preserving cell membrane integrity, enhancing water and nutrient uptake, and stimulating carbohydrate partitioning. Omics techniques (genomics, transcriptomics, proteomics, and metabolomics) explore molecular interactions. Genomic analysis reveals altered gene expression related to growth, yield, and stress response. Transcriptomic studies show modulation of transcription factors and pathways by nano-zymes. Proteomic investigations focus on protein profile changes induced by nano-zymes, deepening understanding of plant responses. It unveils the interplay between nano-zymes and plants, providing insights into mechanisms for augmented crop growth and nutritional enhancement.
Precision Farming With Nanoscale Sensors
Authors: Rani Jyoti , Rasool Arshad , Sher Hassan , Fatima Rabia , Hussain Javeed , Majeed Muhammad , Hussain Faisal , Khojimatov Olim K. , Hussain Khadim
Published: May 2024

In the demesne of sustainable agriculture, diverse scientific disciplines contribute significantly, with nanotechnology taking center stage. Recent strides in precision agriculture with nanotechnology primarily emphasize real-time, environmentally conscious sensing of crop, water, and soil parameters to optimize crop yield. Nanotechnology's focus extends to the development of innovative nanomaterials, enhancing soil nutrient availability, seed germination, and seedling growth while concurrently addressing biotic and abiotic stress. Furthermore, the application of diverse nano-based fertilizers and pesticides directly onto crops at reduced dosages emerges as a key strategy, mitigating risks to both human health and the environment. The exploration of advanced nanodiagnostic systems and nanobiosensors plays a pivotal role in monitoring plant diseases, soil quality parameters, and stress, thereby offering a substantial advantage in precision agriculture. Nanosensors are composed of nanoscale particles such as nanoscale wires, carbon nanotubes, thin films, and nanoparticles.
Nanotechnology Solutions for Sustainable Pest and Disease Control for Sustainable Agriculture and Food Security
Authors: Singh Prashant , Tomar Bhavana , Patle Tirunima , Parihar Sneh Singh , Tomar Shiv Singh , Singh Dayashankar Singh
Published: May 2024

Each year, a significant portion of crops, ranging from 20% to 40%, succumb to plant pests and pathogens, resulting in substantial agricultural losses. Traditional methods of managing plant diseases heavily rely on the application of toxic pesticides, posing potential hazards to both human health and the environment. Nanotechnology presents a promising avenue for addressing these challenges by offering various advantages over conventional pesticides. These include mitigating toxicity, enhancing shelf-life, and improving the solubility of pesticides that are poorly water-soluble, thereby potentially yielding positive environmental outcomes. This review delves into two primary approaches for leveraging nanoparticles in plant disease management: employing nanoparticles independently as protective agents or utilizing them as carriers, often termed as 'magic bullets,' for delivering a range of substances such as herbicides, insecticides, fungicides, fertilizers, and RNA-interference molecules or genes directly to specific cellular organelles within plants. Nanoparticles encapsulate active compounds with high stability and biodegradability, shielding them from degradation by external factors or the host plant itself. Moreover, they minimize inadvertent dispersion into the soil, consequently reducing the need for multiple active compounds in plant treatments and thereby lowering environmental impacts. Additionally, nanoparticles can be functionalized with biomolecules like antibodies or aptamers to ensure target selectivity and specificity. Despite these benefits, there remain certain challenges associated with the use of nano devices for plant protection. Foremost among these is the insufficient research on the potential toxicity of certain nanomaterials, such as nano silver and nano gold, to plants, animals, and ecosystems. Accumulation of nanomaterials in plant and animal tissues could potentially enter the food chain, necessitating rigorous safety assessments and consumer education efforts. Nonetheless, the adoption of non-toxic materials, such as starch, chitin, or nano clays, as alternatives to metals, can mitigate such risks.
Improving Memory Malware Detection in Machine Learning With Random Forest-Based Feature Selection
Authors: Al-Na'amneh Qais , Nasayreh Ahmad Nawaf , Al Mamlook Rabia , Gharaibeh Hasan , Alsheyab Asalla M. , Almaiah Mohammed
Published: May 2024

Memory analysis is important in malware detection because it may capture a wide range of traits and behaviors. As aspects of technology evolve, so do the strategies used by malicious who aim to compromise the security and integrity of digital systems. This study investigates the classification of cyberattacks into malicious and benign. A specific malware memory dataset, MalMemAnalogy-2022, was created to test and evaluate this framework. In this chapter, a set of machine learning algorithms was used, including support vector machine (SVM), K nearest neighbor (KNN), and random forest (RF). To ensure promising performance, especially in identifying important features, the random forest method was used to select the most important features, which achieves the best results and avoids features of little importance. The random forest algorithm achieved 99.9% accuracy, precision, recall, and f1-score. The present approach can detect and mitigate malicious cyber-attacks significantly improving the security framework for end-users by detecting memory malware using machine learning.
Technology-Based Scalable Business Models
Authors: Soumya V. , Arumugam Senthil Kumar
Published: May 2024

Technology based scalable businesses (TSB) have made a significant impact on our lives. The landscape change driven by TSBs has forced many well-established brick-and-mortar businesses to relook at their business models. Despite the influential strides made by TSBs in altering the business landscape the business literature on them is scant. This chapter is a modest attempt to examine TSBs. Scalable businesses could be broadly described as those that can achieve a disproportionate increase in sales/revenue/profits compared to the costs incurred, primarily aided by technology. Google and Uber are examples of how new industries get created and how existing industry landscapes get changed because of technology. Interlinking of technology has offered hitherto unexperienced growth opportunities to such companies. However, the uniqueness of these businesses leaves much to be desired from conventional metrics in adequately explaining the performance of technology-based scalable businesses.
Artificial Intelligence-Internet of Things Integration for Smart Marketing
Authors: Vittala K. R. Pundareeka , M. Kiran Kumar , Seranmadevi R. , Tyagi Amit Kumar
Published: May 2024

The convergence of AI and the internet of things (IoT) has revolutionized various industries, including marketing. This integration offers immense potential for enhancing marketing strategies through real-time data analysis, personalized customer experiences, and predictive analytics. However, it also presents several challenges that need to be addressed for successful implementation. This abstract explores the challenges and opportunities associated with integrating AI and IoT in smart marketing initiatives. It discusses the potential benefits such as improved targeting, increased efficiency, and enhanced customer engagement. Additionally, it examines the challenges such as data privacy concerns, interoperability issues, and the need for skilled personnel. Furthermore, the abstract delves into case studies and examples illustrating successful AI-IoT integration in marketing campaigns. It also highlights emerging trends and future directions in this domain, emphasizing the importance of addressing challenges to unlock the full potential of smart marketing.
Estimating Parameters for Implantable Hydroelectric Asynchronous Generators Field Simulations and Modified Standard Measurements Approach
Authors: Angalaeswari S. , Seeniappan Kaliappan
Published: May 2024

This study introduces a novel methodology for estimating the parameters of implantable hydroelectric asynchronous generators, combining field simulations with a modified standard measurements approach. The research focuses on developing a reliable yet straightforward technique for determining the constant parameters essential for the optimal functioning of these generators. The proposed method is tailored specifically to the unique requirements of implantable hydroelectric generators and is primarily based on specialized testing conducted during various stages of the generator's operation cycle. Initially, the approach involves an independent assessment of the stator inductor's field in these generators. Subsequently, all remaining constant parameters are estimated using stationary tests, specifically designed for the unique operational environment of implantable generators. To validate the effectiveness of this methodology, comprehensive field simulations are conducted.
Industry 4.0
Authors: Tayyab Muhammad , Mumtaz Majid , Jhanjhi Noor Zaman , Muzammal Syeda Mariam
Published: May 2024

Industry 4.0 is revolutionizing manufacturing and supply chain management through the integration of advanced digital technologies. This chapter provides an overview of Industry 4.0 and its implications for sustainable supply chains. Through interconnected systems, automation, artificial intelligence, and additive manufacturing, Industry 4.0 enhances efficiency, agility, and transparency in supply chain operations. The chapter explores how Industry 4.0 technologies contribute to resource efficiency, energy efficiency, waste reduction, transparency, and social responsibility in supply chains. Challenges and opportunities associated with implementing Industry 4.0 are discussed, along with best practices and case studies showcasing successful implementations. By embracing Industry 4.0, businesses can create more sustainable and efficient supply chains, contributing to a greener future.
Fetomaternal Outcomes of Second-Stage Caesarean Section on Prevalence, Indications, and Implications for Obstetric Care
Authors: Patil Supriya , Patil Sanjay Kumar S. , Patange R. P. , Hanuy Hamisol Sair
Published: May 2024

During the second stage of labour, a “second-stage Caesarean section” (lower segment Caesarean section -LSCS)” is performed to help the mother and foetus. Understanding its prevalence, indications, and results helps make evidence-based clinical decisions. This study examines second-stage LSCS's influence on fetomaternal outcomes. Goals include studying second-stage LSCS, foetal and maternal outcomes, indication-outcome connections, and second-stage LSCS indications. Medical records from second-stage LSCS women were used in a retrospective cohort study. Regression, comparison, and descriptive statistics were used to study maternal and foetal outcomes and LSCS indications. Data shows that 15.2% of LSCS operations occurred in the second stage of labour. Maternal outcomes included 22.5 percent blood loss, 30 percent lengthier hospital stays, 18.8 percent surgical issues, and 11.3 percent mental damage. Apgar scores differed by the foetal outcome; 36.3% of newborns needed NICU admission, and RDS (26.3 percent). Fetal distress and failed labour progress (17.6%) were the main LSCS indicators (28.4 percent). In conclusion, second-stage LSCS is crucial to obstetric care because it affects maternal and foetal outcomes. The frequency of LSCS in the second stage emphasises the importance of close observation and swift decision-making. Fetal results emphasise the need for specialised neonatal care, whereas maternal outcomes emphasise the need for extended postoperative care and emotional support. LSCS indications affect mother and foetus outcomes, emphasising the importance of customised treatment and evidence-based decision-making in clinical settings.
Emerging Role of Artificial Intelligence and Robotics in Physiotherapy
Authors: Rajalaxmi V. , Kirthika R.
Published: May 2024

Artificial intelligence (AI) is an area of computer science with a mathematical foundation that can potentially improve the healthcare system through innovative delivery methods, well-informed decision-making, and the promotion of patient engagement. It is widespread in the healthcare system and can be programmed to perform a certain task. AI will expedite diagnosis, improve performance, and produce reliable findings for patients and healthcare professionals. An essential member of the medical team is the physiotherapist. They are an integral part of contemporary clinical practice. Various advancements in AI and robotics can be used in physiotherapy for various rehabilitation protocols for improvement and better quality of life (QOL). Intelligent systems analyze patient data to tailor interventions, while robotic devices assist in precise, repetitive movements for targeted therapy. This synergy between technology and physiotherapy promises more effective and individualized care.
Functional Outcome Assessment of Unstable Intertrochanteric Femur Fractures on Trochanteric Fixation Nail vs. Proximal Femur Nail Antirotation-II
Authors: Bahulekar Shraddha Naik , Gunaki Ravindra B. , Deokar Nikhil Pralhad , Sudaryanto Agus
Published: May 2024

The purpose of this research was to assess and contrast the effects of proximal femur nail antirotation-II and trochanteric fixation nails on unstable intertrochanteric femur fractures in terms of complications, union time, surgical length, and intraoperative blood loss. Trochanteric fixation nail or proximal femur nail antirotation-II was used to treat 100 patients with unstable intertrochanteric femur fractures. The analysis was done retrospectively. The following information was documented and compared between the two groups: demographics, surgical specifics, functional outcomes evaluated using the Harris Hip Score on several occasions, complications, and union times. The groups' demographic features were found to be similar. Proximal Femur Nail Antirotation-II and Trochanteric Fixation Nail had comparable operating durations, union times, and rates of complications. Over multiple follow-up periods, both groups demonstrated an increasing improvement in the Harris Hip Score, a measure of functional outcomes.
Revolutionizing Early Diagnosis on a Multifaceted Approach to Chronic Kidney Disease Detection
Authors: Pareek Naveen Kumar , Soni Deepika , Kumar Awanit
Published: May 2024

A growing number of people throughout the world are suffering from chronic kidney disease (CKD), which is a major public health issue. Detection and prediction of CKD are crucial for healthcare providers to intervene timely and effectively in the fight against the disease. A number of medical fields have seen encouraging results from combining AI technologies with fuzzy logic and expert systems in recent years. The purpose of this study is to develop a CKD prediction model using an expert system that combines AI and fuzzy logic. By combining nephrologists' extensive knowledge with fuzzy logic and AI algorithms, the suggested expert system can improve prediction accuracy. A number of clinical and laboratory variables are integrated into the system. These include age, blood pressure, serum creatinine, and urine protein levels, among others. Fuzzy logic takes into account the inherent imprecision and ambiguity of medical data.
Diagnosing the Organizational Climate of Junior High Schools in Taiwan
Authors: Tang Hui-Wen Vivian , Lee Lynne
Published: May 2024

The study aims to prioritize critical climate components for school improvement. A psychometrically validated instrument named the Chinese “Organizational Climate Diagnostic Instrument for Junior High Schools” (OCDI-JH) was used to diagnose climate factors through expert judgments and fuzzy DEMATEL-based ANP. Results of the study identified the six factors clustered under the two dimensions of ‘Safety' (D1) or ‘Academic emphasis' (D2) should be given particular attention for school effectiveness. The established climate diagnosis appraisal computed by fuzzy DEMATEL-based ANP can be extended to other school regions for systematically developing school climate based on contextually specific needs and concerns. Future research studies are expected to provide incremental and value-added contributions to the competitive advantages of Taiwan's junior high school education.
Determinants of Public Sector Managers' Intentions to Adopt AI in the Workplace
Authors: Majrashi Khalid
Published: May 2024

This study investigated the determinants of public sector managers' intentions to adopt artificial intelligence (AI) systems within their organizations. An extended technology acceptance model (TAM) was developed, incorporating additional constructs including fairness, humanity, reliability, safety, transparency, accountability, privacy, security, trust, social norms, tolerance, impact, and isomorphic pressure. A survey was conducted among 330 public sector managers, and the data were analyzed using linear regression tests to evaluate the model. The results showed significant positive influences of both perceived usefulness and perceived impact on managers' attitudes and behavioral intentions toward AI adoption. Isomorphic pressure was also a significant determinant of managers' behavioral intentions toward adopting AI systems. Our findings also indicated that perceptions related to AI ethical principles, such as transparency, privacy, and security, influenced managers' trust in AI systems.
Limb Necrosis in the Setting of Vasopressor Use
Authors: Derry Kendall H. , Rocks Madeline C. , Izard Paul , Nicholas Rebecca S. , Sommer Philip M. , Hacquebord Jacques H.
Published: May 2024

Background

It remains poorly understood why only some hemodynamically unstable patients who receive aggressive treatment with vasopressor medications develop limb necrosis.

Objective

To determine the incidence of limb necrosis and the factors associated with it following high-dose vasopressor therapy.

Methods

A retrospective case-control medical records review was performed of patients aged 18 to 89 years who received vasopressor therapy between 2012 and 2021 in a single academic medical center. The study population was stratified by the development of limb necrosis following vasopressor use. Patients who experienced necrosis were compared with age- and sex-matched controls who did not experience necrosis. Demographic information, comorbidities, and medication details were recorded.

Results

The incidence of limb necrosis following vasopressor administration was 0.25%. Neither baseline demographics nor medical comorbidities differed significantly between groups. Necrosis was present in the same limb as the arterial catheter most often for femoral catheters. The vasopressor dose administered was significantly higher in the necrosis group than in the control group for ephedrine (P = .02) but not for the other agents. The duration of therapy was significantly longer in the necrosis group than in the control group for norepinephrine (P = .001), epinephrine (P = .04), and ephedrine (P = .01). The duration of vasopressin administration did not differ significantly between groups.

Conclusion

The findings of this study suggest that medication-specific factors, rather than patient and disease characteristics, should guide clinical management of necrosis in the setting of vasopressor administration.
Transference interpretation and psychotherapy outcome: a systematic review of a no-consensus relationship
Authors: Yilmaz Meltem , Türkarslan Kutlu Kağan , Zanini Ludovica , Hasdemir Dilara , Spitoni Grazia Fernanda , Lingiardi Vittorio
Published: May 2024

Despite its well-established importance in psychoanalytic theory, there is a scarcity of empirical evidence on the relationship between a therapist’s transference interpretation (TI) and therapeutic outcome. The current scientific literature shows no consensus on the existence and nature of such an association. Therefore, the present study aimed to systematically review the literature on the link between TI and outcomes in psychodynamic psychotherapies. The American Psychological Association PsycInfo, MEDLINE, and the Web of Science Core Collection were selected as the primary databases for the literature search. Studies were included if they measured the frequency/ concentration of TI in psychodynamic psychotherapy [e.g., transference focused psychotherapy (TFP), supportive-expressive therapy] or compared a treatment group (e.g., high in TI and TFP) with a control group (e.g., low in TI supportive therapy) in an adult population with psychiatric symptoms. Out of 825 retrieved abstracts, 25 articles (21 studies) were included in the final synthesis. 13 out of 21 (62%) studies showed a significant improvement in at least one therapy outcome measure following the use of TI. The present systematic review also revealed high heterogeneity across studies in terms of TI measurement, outcome assessment (e.g., psychiatric symptoms, dynamic change, interpersonal functioning, therapeutic alliance), study design (e.g., experimental, quasi-experimental, naturalistic), patient population (e.g., anxiety disorders, personality disorders), and types of treatment (e.g., TFP, supportive-expressive therapy), preventing researchers from asserting solid conclusions. The results strongly highlight the urgent need for highquality research to understand which types of patients, how, and when TIs could be effective throughout the therapy process.
Presacral Tailgut Cyst
Authors: Haval Shriya , Dwivedi Divyansh , Nichkaode Prabhat
Published: May 2024

A tailgut cyst is a rare benign polycystic congenital lesion in presacral or retrorectal space, when there is failure of involution of tailgut. Clinical presentation may be with or without symptoms of different types related to obstruction, infection, or rarely malignancy. Symptoms may be misleading and atypical, so understanding of characteristics of tailgut cysts is important for precise and early diagnosis to be made for proper treatment and to avoid complications and malignant transformation. Magnetic resonance imaging pelvis was used as diagnostic imaging investigation, but the final confirmation was only done by histopathology. Definitive treatment is surgery, though various surgical approaches are described, surgery is tailored which will suit the individual patient’s anatomy and suspected diagnosis of mass. This case review used PubMed and Web of Science databases to search for the studies. We found around 176 articles and selected 77 articles in our survey, with 8 reviews, 31 case reports, and 31 case reports and reviews.
Cranioplasty Outcomes from a Tertiary Hospital in a Developing Country
Authors: Jarrar Sultan , Al Barbarawi Mohammad , Daoud Suleiman Shaheer , Jaradat Amer , Darabseh Osama , El-Muwalla Khaled , Husenat Maram
Published: May 2024

Background:

Decompressive craniectomy (DC) is a surgical procedure to treat refractory increase in intracranial pressure. DC is frequently succeeded by cranioplasty (CP), a reconstructive procedure to protect the underlying brain and maintain cerebrospinal fluid flow dynamics. However, complications such as seizures, fluid collections, infections, and hydrocephalus can arise from CP. Our aim is to investigate these complications and their possible risk factors and to discuss whether early or late CP has any effect on the outcome.

Materials and Methods:

A single-center retrospective cohort study was performed, including patients who underwent CP after DC between January 2014 and January 2022. Relevant information was collected such as demographics, type of brain injury, materials used in CP, timing between DC and CP, and postoperative complications. Ultimately, 63 patients were included in our study. We also compared the complication rate between patients who underwent late CP after DC (>90 days) against patients who underwent early CP (<90 days).

Results:

Most patients were male (78%). The sample median age was 29 years, with pediatric patients, accounting for 36% of the samples. Overall complication rate was 57% and they were seizure/epilepsy in 50% of the patients, fluid collection (28%), infections (25%), posttraumatic hydrocephalus (17%), and bone defect/resorption (3%). Twenty-two percent of patients with complications required reoperation and underwent a second CP. The median (interquartile range) duration between the craniotomy and the CP was 56 (27–102) days, with an early (≤3 months) percentage of 68%. We found no significant difference between early (≤3 months) and late (>3 months) CP regarding complication rates.

Conclusion:

Despite CP being a simple procedure, it has a considerable rate of complications. Therefore, it is important that surgeons possess adequate knowledge about such complications to navigate these challenges more effectively.