bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Temperature on London Dispersive Properties of H-β-Zeolite / Rhodium Catalysts Using New 2D-Chromatographic Models
Authors: Hamieh Tayssir
Published: November 2024

A new methodology on the determination of the surface properties of solid surfaces was recently proposed. Our new approach consisted in the accurate quantification of the London dispersive surface energy of materials using the two-dimensional inverse gas chromatography technique at infinite dilution. the notion of the net retention volume of adsorbed molecules The Hamieh thermal model proving the temperature effect on the surface area of organic molecules adsorbed on H--zeolite / rhodium catalysts at different rhodium percentages, was used to determine the accurate values of the London dispersive surface energy of solid surfaces at different temperatures. Whereas, the new method allowing a precise evaluation of dispersive adhesion work, dispersive surface enthalpy and entropy of adsorption of n-alkanes adsorbed on the catalysts. In this paper, the London dispersive surface energy and adhesion work of H--zeolite supported rhodium catalysts using the free energy of adsorbed molecules obtained from the two-dimensional inverse gas chromatography technique at infinite dilution. It was proved that the London dispersive surface energy depended on the temperature and the rhodium coefficient while the dispersive adhesion work of n-alkanes adsorbed on H--zeolite/rhodium catalysts was function of the temperature, rhodium percentage, and the carbon atom number of n-alkanes.
Evaluation of Harmonic Number Series Involving the Binomial Coefficient $C(3n, N)$ in the Denominator by Integration
Authors: Adegoke Kunle , Frontczak Robert
Published: November 2024

Two classes of infinite series involving harmonic numbers and the binomial coefficient $C(3n,n)$ are evaluated in closed form using integrals. Several remarkable integral values and difficult series identities are stated as special cases of the main results.
Information Theory’s Links Between Fisher Measure and Gibbs’ Ensembles
Authors: Pennini F. , Plastino Angelo
Published: November 2024

This is an information theory effort. We discover interesting links between Fisher measure and Gibbs’ ensembles. Among these ensembles, the grand canonical and canonical ensembles are fundamental, each offering distinct insights into a system’s properties. In this work, we construct a deep connection between these ensembles, generated by Fisher’s information measure. We specifically explore the relationships among four key concepts: (1) the canonical and grand canonical ensembles, (2) continuous and discrete Fisher information measures applied to three parameters: (a) inverse temperature, (b) particle number, and (c) fugacity, and (3) the Fano factor, and (4) specialized Poisson distributions defined by the particle number and its mean value. Our findings reveal intricate and compelling relationships among these concepts, providing new perspectives on the interplay between statistical mechanics and information theory.
A Comprehensive Review of Power Electronics Technologies in Enhancing Optimal Power Flow in Modern Power Systems
Authors: Zhang Runhao
Published: November 2024

The increasing global energy demand and growing complexity of power systems present substantial challenges in optimizing power system operations. The Optimal Power Flow (OPF) problem focuses on adjusting control variables such as generator outputs, transformer tap settings, and reactive power compensator inputs to minimize generation costs, system losses, and voltage deviations, thus enhancing power system performance. Traditional control methods are often inadequate for addressing the intricate operational demands of modern power systems. In contrast, advancements in power electronics technologies, particularly through high-power devices like Flexible AC Transmission Systems (FACTSs) and Static Var Compensators (SVCs), offer robust solutions. These technologies significantly improve control flexibility and system stability by dynamically adjusting transmission line parameters and managing reactive power swiftly. FACTSs and SVCs are instrumental in bolstering grid stability, elevating power quality, and enhancing overall system efficiency. Current research is exploring diverse approaches to further exploit the capabilities of these power electronic devices in OPF, aiming to overcome challenges related to modeling accuracy, real-time operation, and economic feasibility. This review thoroughly examines the role of FACTSs and SVCs in OPF, detailing their pivotal contributions and the persistent challenges in optimizing power systems, and outlines prospective research directions. These insights are crucial for advancing power system research and practical engineering implementations.
Intrapartum Synthetic Oxytocin as a Potential Mediator for Postpartum Depression
Authors: Izvoranu (Onuc) Silvia , Rus Mihaela , Badiu Diana , Delcea Cristian , Tica Vlad
Published: November 2024

Background: Despite negative impacts on mothers, the pathophysiology of postpartum depression (PPD) is poorly understood. Due to social behavior modulation contribution, synthetic oxytocin (synOT) has been routinely used to augment or induce labor. Aim: The present study examined the association between intrapartum synOT administration and maternal PPD using a prospective design from the second day postpartum. We hypothesized that women exposed to intrapartum synOT would have a reduced risk of PPD compared with those without synOT administration. Methods: The study was conducted in Obstetrics & Gynecology Department, from our University Emergency County Hospital, between August 2019 and April 2021. We included 904 women and according to Edinburg Postpartum Depression Scale, 26.10% have PPD and 73.89% did not have PPD. Considering augmentation or labour induction, about 609 (67.36%) women received synOT during the intrapartum period and 295 (32.63%) women didn’t receive synOT intrapartum. Demographic characteristics of the participants (i.e., age, parity, ethnicity, delivery type, and postpartum hospitalization days) were assessed. Results: Our results show that the rate of PPD was lower in women with synOT administration in comparison with women without synOT administration (20.9% vs. 37.10%, p<0.001). It was shown also that women with synOT administration were much younger, and the major were primiparous in comparison with those without synOT administration (p<0.001). There was also a statistical significance in ethnicity from both women with or without synOT administration in the favor of Romanian women (p=0.01). Interestingly, the major of the women with synOT administration had spontaneously delivery in comparison with those without synOT administration (74.38% vs. 6.77%, p<0.001) and less postpartum hospitalization days (0.43% vs. 0.93%, p<0.001). Conclusions: Our study sustained that synOT could represent a potential mediator on the PPD prevalence. These results suggest that intrapartum synOT administration may offer a potential benefit to mothers at risk of PPD.
Analysis of Connectivity in EMG Signals to Examine Neural Correlations in the Activation of Lower Leg Muscles for Postural Stability: A Pilot Study
Authors: Alderink Gordon , Rhodes Samhita , Zeitler David , McCrumb Diana
Published: November 2024

In quiet standing the central nervous system implements a pre-programmed ankle strategy of postural control to maintain upright balance and stability. This strategy comprises a synchronized common neural drive delivered to synergistically grouped muscles. This study evaluated connectivity between EMG signals of unilateral and bilateral homologous muscle pairs of the lower legs during various standing balance conditions using magnitude squared coherence (MSC). The leg muscles examined included the right and left tibialis anterior (TA), medial gastrocnemius (MG), and soleus (S). MSC is a frequency domain measure that quantifies the linear phase relation between two signals and was analyzed in the alpha (8 – 13 Hz), beta (13 – 30 Hz), and gamma (30 – 100 Hz) neural frequency bands for feet together and feet tandem, with eyes open and eyes closed conditions. Results showed that connectivity in the beta, and lower and upper gamma bands (30 – 100 Hz) was influenced by standing balance conditions and indicative of a neural drive originating from the motor cortex. Instability was evaluated by comparing less stable standing conditions with a baseline - eyes open feet together stance. Changes in connectivity in the beta and gamma bands were found to be most significant in the muscle pairs of the back leg during tandem stance regardless of dominant foot placement. MSC identified the MG:S muscle pair as significant for the right and left leg. The results of this study provided insight into the neural mechanism of postural control.
Size Effect on Shear Behaviors of 3D Printed Soft Rock-like Materials under Different Shear Velocities
Authors: Wu Chaolei , Jiang Lishuai , Zhao Yang , Wu Qi , Yang Yiming , Peng Xiaohan , Li Pimao
Published: November 2024

The shear failure of rock masses is one of the primary causes of underground engineering instability. The shear mechanical behavior of rocks at different sizes is of great significance for studying the shear failure pattern of engineering rock masses. However, due to the presence of various joints and defects in natural rocks, the obtained rock specimens exhibit significant discreteness, making it difficult to customize specimen sizes for size effect studies. In recent years, 3D printing (3DP) technology has gained widespread application in rock mechanics test due to its high printing precision, ability to form specimens in a single step with minimal discreteness. Among these, specimens prepared using sand-powder 3DP exhibit elastoplastic mechanical characteristics similar to those of natural rocks. Therefore, this study utilized sand-powder 3DP to prepare rock-like specimens in four different sizes and conducted compression-shear tests under three different shear velocities. The shear strength, shear strain, and wear of the shear surfaces were analyzed as functions of specimen size and shear velocities. The results indicate that, under the same shear velocity, the shear strength of the specimens is negatively correlated with specimen size; The peak shear strain is generally unaffected by shear velocities, but it increases initially and then decreases with increasing specimen size; As specimen size increases, the degree of specimen damage intensifies, and larger specimens are more prone to developing derived fractures. The study's findings contribute to expanding the applicability of sand-powder 3DP in the research of shear mechanical properties of soft rocks and provide a critical basis for accurately and scientifically selecting appropriate rock specimen sizes for laboratory tests.
A Survey for Delay Testing with emphasis on Path Delay Fault Testing and its Application in Hardware Security
Authors: Palanichamy Manikandan , Gopalakrishnan Sundar
Published: November 2024

We survey delay testing of digital circuits. The advanced semiconductor process technology results in high-speed circuits in which the presences of delay faults are highly possible. Delay faults affect the timing behavior of the circuit when operated at its designated speed of operation. To detect such delay defects and guarantee the timing correctness of the circuit delay testing plays an important role. In this paper, we review several delay testing techniques with emphasis of path delay fault testing. Many innovations have been introduced since 1990s, both in delay fault models and test generation techniques. A review of this paper highlighting important delay test methodologies of the recent past with the assumption of its greater importance in the future than it has now. We also applied the path delay fault testing method in hardware security. Experimental results on several benchmark circuits show that we can achieve 12.7%-19.6% variation in statistical path delay fault coverage in the infected integrated circuits.
Deep learning approach for accurate segmentation of sand boils in levee systems
Authors: Panta Manisha , Hoque Md Tamjidul , Niles Kendall , Tom Joe , Abdelguerfi Mahdi , Flanagin Maik
Published: November 2024

Sand boils can contribute to the liquefaction of a portion of the levee, leading to levee failure. Accurately detecting and segmenting sand boils is crucial for effectively monitoring and maintaining levee systems. This paper presents SandBoilNet, a fully convolutional neural network with skip connections designed for accurate pixel-level classification or semantic segmentation of sand boils from images in levee systems. In this study, we explore the use of transfer learning for fast training and detecting sand boils through semantic segmentation. By utilizing a pretrained CNN model with ResNet50V2 architecture, our algorithm effectively leverages learned features for precise detection. We hypothesize that controlled feature extraction using a deeper pretrained CNN model can selectively generate the most relevant feature maps adapting to the domain, thereby improving performance. Experimental results demonstrate that SandBoilNet outperforms state-of-the-art semantic segmentation methods in accurately detecting sand boils, achieving a Balanced Accuracy (BA) of 85.52%, Macro F1-score (MaF1) of 73.12%, and an Intersection over Union (IoU) of 57.43% specifically for sand boils. This proposed approach represents a novel and effective solution for accurately detecting and segmenting sand boils from levee images toward automating the monitoring and maintenance of levee infrastructure.
Facebook Comments-Based Assessment Model for Food Product Companies Using Four Machine Learning Methods with Arabic/Iraqi Lexicon
Authors: Aziz Raad Sadi , Ali Sura Mazin , T. Sadiq Ahmed
Published: November 2024

تزداد حاجة الناس الى الغذاء يوماً بعد يوم بسبب الزيادة السكانية الكبيرة التي حصلت للمجتمع البشري، مما أدى الى زيادة كبيرة في نشاط شركات صناعة المنتجات الغذائية في العالم. من هنا تبرز الحاجة الضرورية الى تقييم اداء شركات انتاج الغذاء. وجدنا ان افضل طريقة لتقييم اداء هذه الشركات هو عن طريق تعليقات وسائل التواصل الاجتماعي، لانها الطريقة الاحدث والاكثر شيوعاً بين الناس. في هذا البحث تم الاعتماد على تقنيات تعلم الماكنة في تقييم تعليقات المشاركين في تقييم شركات انتاج الغذاء بعد ان تم الاستعانة بمعجم مصطلحات اللغة العربية عموماً واللهجة العراقية خصوصاً، وهذه المصطلحات تخص الكلمات والتعابير الايجابية والسلبية. ومن ثم التدريب من خلال خوارزميات تعلم الماكنة. تم اختبار خوارزمية الغابة العشوائية (RF)، و Naive Bayes (NB)، و Rough Set Theory (RST)، و Support Vector Machine (SVM). أثبتت التجارب أن طريقة RST تفوقت على الثلاثة الآخرين. حيث أن طريقة (RST) حققت نسبة دقة (96.13%)، وحققت طريقة (SVM) نسبة دقة (95.75%)، حققت طريقة (RF) نسبة دقة (%94.1) وحققت طريقة (NB) نسبة دقة (87.1%).
Studying the effect of thymol-containing Nano emulsion extracted from thyme on angiogenesis controlling genes VEGF and VEGFR in a human liver cancer cell line
Authors: Hussein Amer Hamied
Published: November 2024

يحتوي زيت الزعتر على الثيمول (2-إيزوبروبيل-5-ميثيلفينول)، وهو مركب فينولي بلوري عديم اللون وذو رائحة مميزة. يعتبر مضاد للأكسدة. الثيمول ذو قابلية منخفضة للذوبان في الماء وقابلية ذوبان جيدة في الزيت. تم تحضير مستحلب الثيمول النانوي المذاب في زيت السمسم عن طريق تحويله إلى قطرات نانوية. حيث أن في الدراسات السابقة أجريت العديد من الدراسات البحثية لدراسة تأثير الثيمول على سرطان المعدة وتأثيره على خلايا الورم الأرومي الدبقي. لقد قاموا بدراسة تأثير VEGF على نمو وهجرة الخلايا السرطانية في الكبد. من منظور بيولوجي، يمكن للأسطح البيولوجية أن تمتص قطرات المستحلب النانوي بشكل فعال من أجل أنشطة بيولوجية أكثر كفاءة. المستحلبات النانوية هي جسيمات كروية تعمل كحامل لجزيئات الدواء، ويتراوح حجمها بين 10-1000 نانومتر. بسبب تأثير الثيمول المضاد للسرطان، يمكن استخدامه كعلاج مناسب لمنع تكوين الأوعية الدموية في سرطان الخلايا الكبدية. أجرينا تحقيقًا في السمية الخلوية باستخدام اختبار MTT، حيث تمت معالجة خط خلايا سرطان الكبد البشري بتركيزات مختلفة من مستحلب الثيمول النانوي. أشارت النتائج إلى أنه مع زيادة التركيز، انخفضت صلاحية الخلية. ثم تم استخراج الحمض النووي الريبي (RNA) وتم تصنيع C-DNA. تم بعد ذلك فحص مستويات التعبير عن جينات VEGFR وVEGF في الخلايا المعالجة بالنانوثيمول والثيمول الحر وفي الخلايا غير المعالجة. وأظهرت النتائج أن تعبير هذا الجين في الخلايا المعالجة بالثيمول الحر انخفض بمقدار 5.33 مرة مقارنة بالخلايا غير المعالجة، ولكن عندما عولجت الخلايا بالنانوثيمول انخفض مستوى التعبير الجيني بنحو 10.02 مرة.
Unmasking Online Hostility: Analysing and Mitigating Hate Speech in Social Media
Authors: Siddiqui Jawaid Ahmed , Yuhaniz Siti Sophiayati , Memon Zulfiqar Ali
Published: November 2024

تعمل منصات التواصل الاجتماعي على توليد كمية هائلة من البيانات في كل ثانية. تويتر، من الناحية العملية، ينتج الأفراد أكثر من ستمائة تغريدة في كل ثانية. أثناء نشر آراء المستخدمين وتعبيراتهم بحرية، من الصعب جدًا حصر خطاب الكراهية الذي يتم مشاركته ضد أي فرد أو دين أو أي مجموعة عرقية. وبالتالي، فإن الأشخاص المستهدفين بمثل هذا المحتوى الذي يحض على الكراهية يشعرون بالإحباط. وفي هذا الصدد، قامت الأساليب المختلفة بحل هذه المشكلة الخطيرة، ولكنها في بعض الأحيان لم تتمكن من تحقيق نتائج مرضية. ولذلك، نقترح نماذج مختلفة للتعلم الآلي لتصنيف البيانات المعطاة إلى فئتين، مسيئة أو غير مسيئة. تم إجراء التجارب على بيانات تويتر التي أنشأناها بأنفسنا باستخدام Twitter API ومكتبة Tweepy بواسطة Python. تم تقييم النتائج الناتجة بناءً على مقاييس مختلفة مثل الدقة والدقة والاستدعاء وقياس F1 واختبار MCNEMAR. بالمقارنة مع خوارزميات التعلم الآلي المختلفة، تفوق مصنف مجموعة الغابات العشوائية على الخوارزميات الأخرى، فإن حداثة ومساهمة ورقتنا البحثية هي: تطوير مجموعة بيانات تويتر التي تتكون من عدة تغريدات تحتوي على 11 متغير كائن مع أربعة متغيرات فئة مختلفة تظهر الهجوم المختلف المستويات، وتطبيق خوارزميات التعلم الآلي للكشف عن خطاب الكراهية، والتحليل المقارن لخوارزميات التعلم الآلي المختلفة مقابل مقاييس تقييم مختلفة بما في ذلك اختبار ماكنيمار. يتم شرح أهمية التقنية المقترحة جيدًا من خلال مجموعات بيانات Twitter التي تم إنشاؤها من خلال Twitter API ومكتبة Tweepy بواسطة Python.
On En- Prime Compactly Packed Acts over Monoid
Authors: Kadhim Samira Naji , AL-Hussani Uhood S. , Ali Muna Jasim Mohammed
Published: November 2024

في هذا العمل تم دراسة المقاسات الاولية من النمطEn المرصوصة المكتضة ودراسة  تعيم هذا المفهوم الى مفهوم الآثار الاولية من النمط En المرصوصة المكتضة حيث تم دراسة بعض العلاقات والتشخيصات الخاصة بهذه المفاهيم حيت تم برهنت العلاقات الخاصة بمفهوم المقاسات الاولية من النمط En المرصوصة المكتضة ليكن ₩ مقاس و كل مقاس جزئي  هو اولي من النمط  En  فان المقاس ₩ هو مقاس اولي من النمط En مرصوص مكتض اذا و فقظ اذا كل مقاس جزئي دائري و كذلك تمت برهنت اذا كان المقاس ₩ اولي من النمظ En مرصوص مكتض يمتلك على الاقل مقاس جزئي اعظم فان ₩ يحقق خاصية  ACC على المقاس الجزئي الاولي من النمط  En-p-radical. قد تم دراسة مفهوم الاثار الاولية من النمط En المرصوصة المكتضة والتي هي تعميم لمفهوم  المقاسات الاولية من النمط En المرصوصة المكتضة حيث تم برهنت بعض الخواص وبعض التشخيصات الخاصة بمفهوم الاثار الاولية من النمط En  المرصوصة المكتضة , اذا كان الاثر Д اولي من النمط  En مرصوص مكتض ويمتلك على الاقل اثر جزئي اعظم فان الاثر Д  يحقق خاصية ACC   على الاثر من النمط   En-p-radical
Synthesis and Identification of Two Dyes Derived from p-amino phenol and Study of their Effectiveness as Corrosion Inhibitors: Experimental and Theoretical Analysis.
Authors: Abdullah Aseel F. , Kathim Sura H. , Sager Athra G. , Abaies Jawad Kadhim
Published: November 2024

تم في هذا البحث تحضير صبغتين من بار-امينو فينول من خلال تفاعل ملح الديزونيوم من بارا-امينو فينول مع مركبين اروماتي (1-نفثول وبارا-امينو فينول). تم تشخيص الصبغتين الجديدتين (a و b ) بتقنية FTIR وHNMR1 مع قياس بعض الخواص الفيزيائية. تم دراسة النشاط التثبيطي تجريبياً بواسطة القياسات الكهروكيميائية لمركبات الآزو المحضرة ضد تآكل الفولاذ الكربوني نوع C45 في وسط (HCl 0.1 M,).  تم استخدام طريقة ميكانيكة الكم  لحساب البنية الهندسية والخواص الفيزيائية بواسطة برنامج Gaussian 09 W ونظرية الكثافة الوظيفية (DFT)  لدالة   B3LYP بمستوى 6-311 +G  (2d, 2p) . تم استخدام نظرية الكثافة الوظيفية  في حساب معاملات  كفاءة التثبيط للصبغتين في  وسط  مفرغ من الهواء,  وأظهرت النتائج ان  المركب a الافضل بالتثبيط.
Prevalencia de anomalías dentarias de tamaño y forma, en pacientes pediátricos de 6 a 17 años de la ciudad de Huánuco 2019 - 2022
Authors:   , Palacios Leon Claudia
Published: November 2024

Objetivo: Determinar la prevalencia de anomalías dentales de tamaño y forma en pacientes de 6 a 17 años, atendidos en Huánuco entre 2019 y 2022. Metodología: El estudio fue de tipo descriptivo, de corte transversal retrospectivo, con una muestra de 362 radiografías panorámicas de pacientes de 6 a 17 años. Se realizó observaciones detalladas para cada ficha de observación: la edad del paciente, el sexo, las alteraciones dentarias de forma y tamaño, el tipo de dentición que presentaba, el cuadrante afectado y el tipo de pieza dentaria. Resultados: Se encontró una mayor prevalencia de anomalías dentarias de forma, con el 85,10% (308), y de tamaño, con un 14,9% (54). En relación con el cuadrante, el que presentó mayor prevalencia fue el diente con rizomicri, con el 18,5% (10) en el cuadrante II, y la macrodoncia, con el 13,0% (7) en los cuadrantes I y II; mientras que la alteración de forma diente de pala presentó una mayor prevalencia en el cuadrante II, con el 24,5% (76). Conclusión: Existe mayor prevalencia de anomalías de forma, a diferencia de las anomalías de tamaño, que fueron menos prevalentes en el trabajo de investigación, y fueron el sexo femenino y el grupo etario de 11 a 17 años los más prevalentes.
Análisis bibliométrico de la producción científica sobre toxina botulínica y odontología: colaboración, impacto y tendencias
Authors:   , Portocarrero Reyes Alfredo , Javier Felipe Carlos Alberto
Published: November 2024

Objetivo: El objetivo del estudio fue realizar un análisis bibliométrico de la producción científica sobre toxina botulínica y odontología. Material y Métodos: Estudio retrospectivo, transversal y descriptivo con enfoque bibliométrico. Las investigaciones sobre toxina botulínica y odontología que se analizaron fueron publicadas entre los años 2018 y 2023. Las variables se midieron de manera objetiva mediante SciVal de Scopus. Para la búsqueda de los artículos de investigación se usaron las palabras clave: “Toxina” y “Dent Ultimo” usando el operador booleano “AND”. El 21 de septiembre del 2023, se obtuvieron 241 artículos de investigación correspondientes al periodo 2018 a 2023, las cuales posteriormente fueron organizados y analizados mediante un análisis de metadatos. Resultados: Del 2018 al 2023, la producción científica sobre toxina botulínica y odontología fue mayor en el Q2 y Q1. Siendo el año 2019, el único año donde hubo una mayor cantidad de publicaciones en el Q1, ya que en los demás años las publicaciones fueron sobre todo en el Q2. La revista científica con mayor cantidad de publicaciones sobre este tema fue la British Journal of Oral and Maxillofacial Surgery. La mayoría de las publicaciones fueron de la Universidad Pekín, China y la Universidade de Sao Paulo. El autor más prolífico fue Paulo César Rodrigues Conti y los países que más han publicado sobre toxina botulínica y odontología fueron Estados Unidos y Brasil. Conclusiones: Durante los últimos cinco años la producción científica sobre la toxina botulínica y odontología ha aumentado progresivamente, siendo la mayoría de las publicaciones del cuartil Q2 y Q1. Estados Unidos fue el país con mayor cantidad de publicaciones. El autor Paulo César Rodrigues Conti fue el investigador con mayor cantidad de publicaciones.
Aporte peruano a la producción científica sobre SARS-CoV-2 y COVID-19: análisis bibliométrico
Authors:   , Rosas Vargas Lady Daniela , Salas Tomapasca Christel Araceli
Published: November 2024

Objetivo: Realizar un análisis bibliométrico de la contribución de Perú a las publicaciones de investigación sobre la pandemia del SARS-CoV-2 y COVID-19. Materiales y métodos: Se realizo un estudio bibliométrico descriptivo, tipo observacional. Se trabajó con 4 fuentes de datos como Pubmed, Scopus, Web of Science y Scielo desde el 2020 hasta el 19 de junio de 2024). Resultados: El estudio se realizó en base a 570 artículos, con una mayor frecuencia en el año 2021 y con Medicina como principal área temática. La universidad con mayor número de afiliación de artículos fue la institución Cayetano Heredia y la Revista de Medicina Experimental y Salud Pública tuvo el mayor número de artículos. Conclusiones: Gran cantidad de publicaciones en la pandemia fue el año 2021. Respecto al área temática con mayor número de publicaciones es de medicina. La revista que albergó mayor número de estudios con autores peruanos fue la Revista Peruana de Medicina Experimental y Salud Pública. Se observa una red de colaboraciones amplia entre instituciones nacionales e internacionales.
Efecto de un programa de intervención educativa sobre cuidados paliativos en estudiantes de medicina humana de sexto año de una universidad privada
Authors:   , Sulen Hurtado Gustavo Adolfo
Published: November 2024

Introducción: El propósito de los cuidados paliativos es incrementar la calidad de vida de aquellas personas que están lidiando con una enfermedad terminal. Sin embargo, un gran porcentaje de estas personas no logran acceder a este tipo de cuidados, especialmente en países latinoamericanos. Por esto, la finalidad de este estudio es determinar el efecto de un programa de intervención educativa sobre cuidados paliativos en estudiantes de medicina. Pacientes y métodos: Estudio cuasiexperimental en estudiantes de sexto año en la Facultad de Medicina Humana de la Universidad Científica del Sur de cualquier edad y sexo que desearon participar en el estudio. Se utilizó un cuestionario anteriormente traducido y adaptado para estudiantes de pregrado en nuestro país, el cual tuvo origen en Japón para medir el grado de conocimiento acerca de los cuidados paliativos en profesionales de la salud. Se describió la muestra con tablas de frecuencia de cada variable pre y post test, luego se determinó la normalidad los puntajes obtenidos en cada sección de preguntas mediante el test de Shapiro Wilk y, al no encontrarse distribución normal, se compararon estos resultados con la prueba de Wilcoxon. Finalmente, se creó la variable “variación de puntaje” para determinar la asociación del sexo, edad y tipo de aprendizaje con dicha variación. Resultados: Se evaluaron 37 estudiantes incluidos en el estudio. El puntaje total post intervención mejoró significativamente con respecto al inicial. No se encontró asociación entre la variación de puntaje post y pre test y la edad, sexo y estilo de aprendizaje. Discusión: La intervención educativa demostró tener un impacto favorable en los resultados iniciales. A comparación con otros estudios, la intervención educativa aumentó el dominio acerca de los cuidados paliativos en los partícipes en todas las secciones de preguntas, especialmente en “Sintomatología en cuidados paliativos”…
Land Subsidence and Displacement Occurrence in the Urmia Plain Aquifer Using Interferometric Radar Technique and Hidden Faults
Authors: Hemmati Fariba , Khanjari Sara , Alizadeh Akram
Published: November 2024

The occurrence of land subsidence in a number of Iranian cities has increased, mostly due to groundwater level fluctuations, a consequence of recent structural displacements, decreased precipitation and increased rate of population. Urmia Plain Aquifer has been suffering such environmental challenges, leading to extensive land displacement. Hence, this research investigates the extent of land displacement in the Urmia Plain Aquifer from 2015 to 2023 using the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique via the Sentinel Application Platform (SNAP) software and detected hidden faults. DInSAR is an efficient tool for assessing surface deformation, including land displacement. The results displayed a maximum land subsidence of 9.00 cm in the south and an uplift of 9.6 cm in the north of Urmia Plain Aquifer. Comparing the information obtained from InSAR with the groundwater level data reveals a positive strong correlation. The groundwater level in the southern parts is lower than in the north. This study indicated that land displacement, leading to the fluctuation of the groundwater level, can effectively be evaluated using InSAR, a less time-consuming and expensive technique.
Clinical differential factors in patients with hereditary transthyretin amyloidosis with Val142Ile and Ser43asn mutations
Authors: Leones Sandra Milena Castellar , Ruiz-Ospina Edicson , Diaz-Ruiz Jorge , Arrieta Cristian Correa , Ruiz-Cortés Xiomara , Luzuriaga-Carpio Diana , Zambrano-Vera Dario , Cedeño-Quincha Jeanneth , Guerrero-Cepeda Luis , Chávez Daniel Cesar , Ortiz-Corredor Fernando
Published: November 2024

Background: Hereditary transthyretin amyloidosis (hATTR) is a rare autosomal dominant disease with high clinical variability, influenced by both genotype and the geographic origins of carriers. There is a limited understanding of the Val142Ile and Ser43Asn recognised mutations in Ecuador and Colombia. Therefore, the objective of this study is to describe the neurological and functional characteristics of patients with hATTR associated with the Val142Ile and Ser43Asn mutations, as well as to identify possible differentiating factors between the two mutations.
Methods: This cross-sectional, multicenter study included 35 hATTR patients from rehabilitation centers in Ecuador and Colombia. Patients had confirmed Val142Ile or Ser43Asn mutations. Neurological and functional assessments included the Neurological Impairment Scale, Norfolk Quality of Life-Diabetic Neuropathy (QOL-DN), Composite Autonomic Symptom Score-31, and various motor function tests as nine-hole peg test (NHP). Quantitative Sensory Testing (QST) evaluating small fiber function, while ultrasound measured the cross-sectional area (CSA) of peripheral nerves. Statistical analysis employed nonparametric tests and random forest classifiers, using SHAP values to identify differentiating variables.
Results: Val142Ile carriers showed lower performance in the right NHP test and greater sensitivity to cold pain in hand and leg. Ultrasound revealed increased CSA of the median nerve at the elbow and arm and the ulnar nerve at the arm in Val142Ile carriers compared to Ser43Asn carriers. The final random forest model identified the NHP test, Norfolk QOL-DN score, and CSA of the median and ulnar nerves as key discriminating variables.
Conclusion: This study identified significant neurophysiological and ultrasound markers differentiating Val142Ile and Ser43Asn mutations in hATTR-PN patients. Increased nerve CSA and specific motor and sensory impairments highlight the need for comprehensive evaluations to guide diagnosis and treatment.
Resistance Mutations Impair Benzimidazole Efficacy Against Ascaridia galli by Altering β-Tubulin Interactions
Authors: Tenorio Jan Clyden
Published: November 2024

Background The emergence of benzimidazole resistance among helminths of veterinary and public health importance has been of grave concern. Benzimidazole resistance is caused by mutations (i.e., F167Y, E198A, and F200Y) that occur in the β-tubulin genes of helminths thereby affecting the structure of the expressed protein. This research aims to determine the effects of these canonical resistance-associated mutations on the in silico binding of A. galli β-tubulin and benzimidazole drug ligands.Methods The β-tubulin amino acid sequence of A. galli was retrieved and edited to contain the resistance-associated mutations. These were used to model the tertiary structure of the protein. The in silico docking studies used the modeled proteins with benzimidazole drug ligands (i.e., Fenbendazole, Mebendazole, Oxfendazole, and Albendazole). The binding affinities (kcal/mol) and docking positions were examined.Results The results show that resistance-associated mutations caused alterations in the binding interactions between the A. galli β-tubulin and benzimidazole drug ligand. The E198A mutation caused slight reductions in binding affinities and changes in the binding positions indicating its potential role in conferring benzimidazole resistance. Molecular dynamics simulations revealed that wild-type and mutated A. galli β-tubulins share comparable binding behavior with Fenbendazole. The binding free energies show that the E198A mutation caused decreased binding efficacy potentially causing resistance.Conclusion The E198A mutation causes weakening of the β-tubulin-benzimidazole interactions indicating its crucial role in conferring resistance in A. galli. The emergence of these benzimidazole resistance-associated mutations should be assessed in field isolates as they may negatively affect the efficacy of pharmacological interventions.
Students Satisfaction with Nursing Program Studying at Tribhuvan University, Institute of Medicine, Nepal
Authors: Chaudhary Angira Kumari , Dahal Tulasha , Niraula Achala , Mandal Punam Kumari
Published: November 2024

Background: Satisfaction is the psychological state, which results from confirmation or disconfirmation of expectations with reality. Student satisfaction involves the student's unique perception of the value of his/her educational experience during the degree program. Satisfaction is the key element and criterion to evaluate and represent the level of customer pleasure, program quality, student’s achievement and program success.
Objectives: The objectives of the study were to assess the satisfaction of nursing students with the nursing program.
Materials and Methods: Cross-sectional study was conducted in the five constituent nursing campuses TU from the period of 8th Nov 2022 to 8th March 2023 to identify their satisfaction with the nursing program. Adopted and modified tools were employed to gather students’ satisfaction with a nursing program. Data was collected from 147 students of nursing studying in the third year through the census method by using a self-administered semi-structured questionnaire. Data analysis was done using descriptive and inferential statistics.
Results: The result of the study showed that near three fourth (74.1%) of the students’ overall satisfaction with the Bachelor of Science with the nursing program was fair level (meanscore=219.86). The highest mean of satisfaction with the program subdomain was curriculum (mean score=44.73) where more than half (63.9%) of student’s had a good level of satisfaction and the lowest mean satisfaction was with theoretical education by faculty (mean score=24.98) where near three fourth (72.1%) student’s satisfaction had poor level. In other of subdomains of the study, like professional social interaction, clinical practice by clinical Guide, and educational environment where nearly two thirds (65.3%, 64.6%, 58.5%, and 69.4%) of students had fair level respectively, and with resource and support was poor level satisfaction. More than one forth (34.7%) of students’ satisfaction with the evaluation system of the institute was fair level.
Conclusion: The study indicated that students have a fair level of satisfaction with the nursing program so it is necessary for continuous innovation and quality services in nursing campus for student’s optimum satisfaction.
Effects of Seasonal Climates and MIPS Mutations on Soybean Germination through Multi-Omics Analysis
Authors: Yu Huakun , Zhu Longming , Chen Yuhao , Deng Ping , Liu Bei , Chen Xiaochao , Yuan Fengjie
Published: November 2024

This study delves into the combined effects of seasonal climate variations and MIPS gene mutations on the germination rates of soybean cultivars TW-1 and TW75. Through comprehensive metabolomic and transcriptomic analyses, we identified key KEGG pathways significantly affected by these factors, including starch and sucrose metabolism, lipid metabolism, and amino acid biosynthesis. These pathways were notably disrupted during the spring, leading to an imbalance in metabolic reserves critical for seedling development. Additionally, MIPS gene mutations further altered these pathways, exacerbating the metabolic disturbances. Our results underscore the intricate network of environmental and genetic interactions influencing soybean seed vigor and underscore the importance of understanding these pathways to enhance agricultural resilience and seed quality in fluctuating climates.
Environmental discrimination through urban planning: the case of French Traveler site
Authors: Tardieu Léa , Mondolfo Nicolas , Leblois Antoine , Delacote Philippe
Published: November 2024

Ethnic minorities often face environmental inequalities, as they are generally more likely to be exposed to hazardous and polluting facilities. Despite this, the role of urban planning decisions in shaping these inequalities has been insufficiently explored. The siting of Traveler sites provides a clear example of how political decisions in urban contexts can exacerbate environmental disparities. To address this issue, we constructed an original database that links the siting of French Traveler sites with socio-economic and environmental data. Then, we conducted a statistical analysis to identify the factors that determine the placement of sites, both across and within municipalities. Our study demonstrates that Traveler sites are more likely to be implemented in municipalities with greater disamenities and that, within these municipalities, sites are located closer to these disamenities than other residential areas. Based on our findings, we discuss two potential mechanisms underlying the planning decisions regarding sites: the opportunity cost and discriminatory preferences.
Optimizing Energy Efficiency and Reducing Carbon Footprint through Integrated Nutrient Management for Sustainable Maize Production
Authors: Arif Mohd. , Pourouchottamane R , Kumar Ravindra , Kumar Arvind , Kumar Rakesh
Published: November 2024

In India, the energy consumption and greenhouse gas (GHG) emissions from food grain production have increased significantly since the Green Revolution, largely driven by higher use of machinery, fossil fuels, chemical fertilizers, and pesticides. This study explores the energy and carbon footprints of maize (Zea mays L.) cultivation under various integrated nutrient management (INM) practices. It evaluates the effects of three organic manures- goat manure, poultry manure, and vermicompost applied at 5 t ha⁻¹ and five fertilizer levels (0, 25, 50, 75, and 100% of the recommended dose). The research was conducted in a split-plot design with three replications during the kharif seasons of 2021 and 2022 at ICAR-Central Institute for Research on Goats, Mathura, Uttar Pradesh, India. The results showed that combining organic manures with different fertilizer doses significantly influenced crop yield, energy consumption, and carbon emissions. The highest total energy output (137149 MJ ha⁻¹) was achieved with 100% RDF combined with vermicompost, while the highest net energy (118496 MJ ha⁻¹) was recorded with 75% RDF combined with vermicompost. The 75% RDF with vermicompost treatment yielded the highest net carbon gain (2455 kg CE ha⁻¹), however, treatments involving 25%, 50%, and 100% RDF with vermicompost, as well as 50%, 75%, and 100% RDF with poultry and goat manure, showed comparable net carbon gain values to the 75% RDF with vermicompost treatment. Overall, combining organic manures with reduced fertilizer levels enhanced sustainability by optimizing energy and reducing carbon footprints.
Integrating Hydro-Geomorphological Adjustments into Flood Mapping for Enhanced Risk Assessment
Authors: Mukherjee Tuhin , Goel Narendra Kumar , Arya Dhyan Singh , Arora Manohar
Published: November 2024

Extreme rainfall and frequent flooding significantly impact hydro-geomorphic processes that shape the Earth's surface. This often induces increased sedimentation flow, which causes muck flow in the floodplains. It leads to changes in soil erosion/ deposition and flood extent. DEM of difference (DoD) and Elevation Deviation Index (EDI) analyses are widely used to study topographic changes in the earth’s surfaces due to soil erosion/deposition. However, vertical inaccuracies in the original DEMs are directly associated with the DoD, leading to errors in analyzing terrain changes. This paper presents a technique that minimizes the error by normalization, which allows a standardized comparison between the DEMs, making it easier to identify patterns and outliers. This is applied to the past 22 years of the data of the River Shilabati in West Bengal, India. The results of the study reveal a strong positive correlation between soil erosion and flood extent. As the region is frequently experiencing submersion by floodwaters with a simultaneous increase in the trend of extreme events, these findings have profound practical implications for flood management strategies.
RUNX1-mediated LINC01094 promotes gastric cancer through dual targeting of CDKN1A by directly binding RBMS2 and HDAC1
Authors: Zhou Xinyi , Chen Guanhua , Hu Li , Xiao Linmei , Zuo Fei , Shao Hongan , Fei Bojian
Published: November 2024

Background
Accumulating studies have focused on long noncoding RNAs (lncRNAs) because of their regulatory effects on multiple cancers. However, the biological functions and molecular mechanisms of lncRNAs in gastric cancer (GC) remain to be elucidated in depth.
Methods
Long intergenic nonprotein coding RNA 1094 (LINC01094), a differentially expressed lncRNA between GC tissues and adjacent normal tissues, was identified. Moreover, gain- and loss-of-function experiments in vitro and in vivo were carried out. To understand the mechanisms underlying the regulatory effects of LINC01094, we performed RNA pull-down assays, RNA immunoprecipitation assays, chromatin immunoprecipitation assays, luciferase reporter assays, etc.
Results
LINC01094 was markedly upregulated in GC tissues and cell lines, and LINC01094 upregulation was positively correlated with GC malignant behaviours in vitro and in vivo. Mechanistically, LINC01094 downregulated the expression of CDKN1A by interacting with RNA binding motif single stranded interacting protein 2 (RBMS2) and histone deacetylase 1 (HDAC1). Additionally, LINC01094 was confirmed to sponge miR-128-3p and participate in the LINC01094-miR-128-3p-RUNX family transcription factor 1 (RUNX1) feedback loop. Finally, Ro 5-3335, a validated RUNX1 inhibitor, was explored for anticancer drug development in GC.
Conclusions
The LINC01094-miR-128-3p-RUNX1 feedback loop downregulates CDKN1A and promotes GC cooperatively with RBMS2 and HDAC1. Moreover, Ro 5-3335 may have promising therapeutic applications in GC. Hence, our study found an oncogenic lncRNA, LINC01094, which could be a promising target for cancer treatment and diagnosis.
Advanced Knee Point Prediction and Health Monitoring Technique for Improved Electric Vehicle Battery Safety
Authors: Mohanty Namrata , Goyal Neeraj Kumar , Naikan V N Achutha
Published: November 2024

The knee point is a critical threshold indicating a significant change in data behaviour, essential for optimizing predictions in electric vehicles (EVs). Predicting accurate knee points EV batteries is crucial for ensuring battery safety by identifying critical conditions and potential hazards. Leveraging machine learning (ML) algorithms, including support vector machine (SVM), AdaBoost, neural networks (NN), and proposed novel hybrid XGBoost-random forest (XG-RF), the research aims to enhance the accuracy of knee point prediction using slope change method from early battery cycles. Assessment involves absolute error metrics like mean absolute error (MAE) to measure the accuracy of knee point model predictions and mean absolute deviations (MAD) for slope change deviations on dynamic state of health (SOH) curve for different battery chemistries (LFP and NMC) at various temperatures (0℃, 25℃, and 35℃). The proposed XG-RF model consistently outperforms with improved accuracy in terms of lower MAE values as 0.15, 0.13 and 0.13 for NMC and 0.11 for LFP respectively for different temperature. The study's anticipated outcomes extend insights into ML model comparison, novel metric validation, and a comprehensive understanding of algorithms impacting knee point prediction, ultimately contributing to improved EV battery safety.
DNA binding, Molecular Docking and Antimicrobial Studies of Co(III) polypyridyl complexes
Authors: Perka Shyam , Vuradi Ravi Kumar , Gopu Srinivas , Nambigari Navaneetha , Sirasani Satyanarayana
Published: November 2024

Three new cobalt(III) polypyridyl complexes [Co(phen)2(TIPB)]3+(1) {TIPB = 5-(1H-imidazo[4,5-f][1, 10]phenanthrolin-2-yl)thiophene-2-yl-2-boronic acid}, (phen = 1,10-Phenanthroline), [Co(bpy)2(TIPB)]3+(2) (bpy = 2,2’bipyridyl), [Co(dmb)2(TIPB)]3+(3) (dmb = 4, 4’-dimethyl 2, 2’-bipyridine) have been synthesized and characterized by spectral studies FTIR, UV-vis, 1H, 13C-NMR, Mass Spectroscopy and Elemental analysis. The binding properties of all three complexes towards calf-thymus DNA (CT-DNA) have been investigated using UV-visible, emission spectroscopy and viscosity measurements, indicating that all the complexes bind to CT-DNA predominantly through intercalation, but with different affinities. The binding strength of these complexes were 1 > 2 > 3. These complexes cleaved the pBR322 DNA into different forms when irradiated under UV light. The binding studies of Co(III) polypyridyl complexes with ds-DNA were carried out by molecular modeling (MM) studies to identify the binding interactions. The molecular mechanics studies were performed on metal complexes to obtain stable 3D conformers. The energy-minimized 3D structures of metal complexes were docked to the double-stranded DNA. The aromatic ligand, TIPB facilitates the binding of the metal complex with DNA through intercalation. The significant interactions of metal complexes - DNA are the prerequisite features for the metal complexes to be considered as DNA intercalator. The molecular docking data are well substantiated by the available experimental data. The binding selectivity and strength of the metal complex with DNA show that the preferred binding mode involves guanine rich site. It reveals that complexes will bind in between base pairs of DNA and gives information about the binding residues and strength. The antimicrobial studies of these complexes give considerable activity with different bacteria like Staphylococcus aureus, and Bacillus subtilis.
Chitosan hydrogel loaded with copper-tin-sulfur nanosheet materials for skin wound healing
Authors: Ren Mingfei , Yao Jingjing , Yang Dicheng , Zhu Jingyao , Dai Kun , Zhong Yujun , Zhu Jun , Tang Liang , Xu Yan , Yu Jiangming
Published: November 2024

Globally, burns are a serious health problem that disrupts the normal functioning of the skin and increases the risk of bacterial infections. Traditional burn dressings often have difficulties to achieve desired therapeutic results. Therefore, there is an urgent need to develop an ideal wound dressing with good antimicrobial properties, biocompatibility and rapid promotion of burn wound healing. Herein, we prepared a chitosan-based hydrogel loaded with copper-tin-sulfur nanosheet materials (CS/GP/Cu3SnS4), and explored its biocompatibility and antibacterial properties in vitro. The results showed that the antibacterial rate of CS/GP/Cu3SnS4 hydrogel can exceed 95% after contacting with Staphylococcus aureus and Escherichia coli for 4h. Meanwhile, the survival rate of L-929 cells was consistent with that of normal medium, revealing considerable antibacterial effect and biocompatibility which could be used for promoting wound repair. Furthermore, in vivo experiment was conducted to test its dressing properties, antibacterial properties, and the efficiency of promoting wound healing. Compared with control group and CS/GP hydrogel group, the wound healing rate was the highest since the 3rd days of treating with CS/GP/Cu3SnS4.While macrophage secretion factor 68 (CD68) decreased significantly and its expression level was lower than that of control group, and the expression level of VEGF increased significantly, with its expression being 1.18-fold, 3.61-fold, and 1.98-fold higher compared with the CS/GP hydrogel group. These results indicate that CS/GP/Cu3SnS4 hydrogel has a potential application as a burn wound dressing.