bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel Statistical Approaches for Survival Analysis of RNA-Sequencing Data
Authors: Cephe Ahu , Koçhan Necla , Zararsız Gözde Ertürk , Sezgin Ahmet , Karabulut Erdem , Zararsız Gökmen
Published: February 2025

Background:

Accurate patient survival predictions are vital for effective cancer treatments.
Precision medicine uses gene expression data to improve prognosis by considering genetic
variability.

Objective:

Predicting survival in cancer patients using high-dimensional gene expression data, such
as RNA-sequencing (RNA-seq), attracted much attention in recent years. However, the literature
contains limited algorithms for survival modeling that account for the high dimensionality, heterogeneity,
and correlated genes of RNA-seq data. This study aims to develop novel approaches for
predicting survival and identifying biomarkers using RNA-seq data.

Methods:

Survival data of RNA-seq is first transformed into binary classification data using a stacking
algorithm. Then, block-based priority-Lasso and IPF-Lasso algorithms are applied to the dataset,
which includes two distinct types of variables. Additionally, sample weights obtained from the
voom transformation are incorporated. Our approaches, named voomStackLasso, are tested on 12 real
datasets from the TCGA database. We used Harrell's concordance index and the integrated Brier score
to evaluate model performance, and the number of selected features to assess model sparsity.

Results:

The results indicated that the voomStackLasso algorithms demonstrated comparable or superior
performance compared to other existing survival algorithms. Furthermore, we have introduced
an R package called MLSeqSurv, which allows for the utilization of both established survival
algorithms from the literature and voomStackLasso algorithms for RNA-seq data.

Conclusion:

This study introduces two new algorithms for the survival analysis of RNA-seq data.
Additionally, this study has led to new research directions for applying both existing and newly developed
classification algorithms to the survival analysis of RNA-seq data.
A Scientific Approach to Preventive Pregnancy Care through Ayurveda Classics
Authors: Rathod Pratiksha , Jaiswal Reena
Published: February 2025

Ayurveda's system of medicine offers various measures to minimize antenatal risks. It
includes the mother and baby's physical, psychological, social, and spiritual well-being. Ayurveda
antenatal care specifies evidence-based explanations that fulfill the criteria of today's definition of
science. Malnutrition is a significant problem in developing countries. Conditions like intrauterine
growth restrictions, low birth weight babies, and infants with congenital anomalies contribute to
low-quality progeny and ultimately to malnourished and diseased conditions even in adulthood.
Classical Ayurveda Antenatal care (Garbhini Paricharya) mentioned by scholars can be considered
for incorporation in Antenatal care programs to prevent the above-mentioned conditions. The
Ayurveda dietary regimen ensures complete nutrition for the pregnant mother. The paper covers
epigenetics and Ayurveda pregnancy care, the impact of stress during pregnancy, and the consumption
of fish, hot and spicy (ushna & tikshna) food, honey, curd, wild meat soup, rice gruel
and clarified butter (ghee) during pregnancy. The dietary herbs in the monthly regimen during
pregnancy play an essential role in the prevention perspective. This conceptual paper attempts to
interpret Ayurveda antenatal interventions based on the available scientific evidence. It also attempts
to make the scientific approach to the selected aspect of classical Ayurveda Antenatal care
(Garbhini Paricharya or Supraja Sanskar).
Numerical investigation, modelling and vibrational dynamics of an unbalanced rigid rotor with two offset discs levitated by air foil bearings
Authors: SUMAN Siddharth
Published: February 2025

Abstract. High speed rotating machines are very useful in several industries and production plants or factories. The rotating components in these machines are usually prone to multiple types of faults. These faults can cause large and heavy amount of vibrations in the assembled rotor systems during its operation. So, there is a need for analyzing the rotor behavior in the presence of faults and their identification. This paper discusses the dynamic behavior of a rigid rotor with two discs at offset positions and mounted on air foil bearings at the ends. In this system, it is assumed that the discrete unbalance fault is present at discs only. The stiffness and damping coefficients of both foil bearings are considered to be different and anisotropic in nature. Considering the forces due to foil bearings, inertia force, discs unbalance force, inertia moment, gyroscopic couple effect, the equations of motion of the rotor system have been derived in the two-dimensional transverse directions. Further, these equations are solved using a model developed in the Simulink platform. The obtained solutions of the equations are the time domain rotor displacement in the vertical and horizontal directions. It would be very interesting to investigate and study the unbalance fault effect and displacement responses with variation in the fault parameters, rotor spin speed, and stiffness and damping parameters of foil bearings.
Porous medium based cooling design for temperature homogeneity in lithium-ion battery pack
Authors: BANERJEE Rhik
Published: February 2025

Abstract. The thermal management of batteries plays a crucial role in the smooth operation of an electric vehicle. In this numerical study, the thermo-hydraulic performance of two cylindrical cell battery packs in a staggered configuration, one with porous media and one without porous media, are studied for various Reynolds numbers (Re). The feasibility of the porous medium in enhancing heat transfer rate was evaluated based on the constructal law rather than applying it to all the cells uniformly. It is observed that the battery pack with porous media has the lower maximum surface temperature (~ 316 K) for the range of Reynolds numbers studied. Further, the porous medium within the battery pack resulted in temperature uniformity and a higher heat transfer rate with minimal penalty in pressure drop.
Design and development of drivetrain for fully faired hybrid recumbent bicycle
Authors: GARG Siddharth
Published: February 2025

Abstract. Due to the rapid consumption of fossil fuels, the effects of climate change have become very rampant in recent years. Harvesting human and electric energy in the form of hybrid electric vehicles (HEVs) is a cleaner and more economical solution to the problem of urban mobility. Fully faired recumbent bicycles, also called velomobiles, while retaining all the good features of bicycles (eco-friendly, small frontal area), also incorporate the beneficial features of cars (protection from weather and crashes, extra added stability). This study examines the three drivetrains possible for velomobiles (fully electric, fully human-powered, and hybrid, the latter of which incorporates both human and electric energy). It compares them on the parameters of maximum speed, acceleration, range, and driving power needed. The simulations were designed in MATLAB Simulink, and the results were verified by actual human testing performed under suitable conditions. The testing revealed that the hybrid drivetrain model is the most efficient to use and to satisfy all the desired benchmarks of ASME e-HPVC.
LabVIEW controlled I-Bin person detection & waste segregation
Authors: GOEL Pulkit
Published: February 2025

Abstract. In a world where urban populations are on the rise, maintaining cleanliness and sanitation is crucial for our well-being. Unfortunately, many cities are facing the challenge of overflowing trash cans, leading to unsanitary conditions that can contribute to the spread of various illnesses. This not only affects our health but also diminishes our quality of life. To combat this issue and uplift living standards, it is imperative to implement an efficient and intelligent waste management strategy. Enter Smart Bins - the innovative solution designed to revolutionize waste collection without relying on manual labour. The primary goal of developed Smart Bins is simple yet impactful - to streamline waste collection from any location seamlessly. By deploying cutting-edge technology, these intelligent bins can autonomously gather all types of waste without human intervention, ensuring a cleaner environment for us all. To be more precise, the aim of the Smart Bins is to collect all waste from any site without the need for human labour and to separate it into several categories, such as dry, wet, metal and other waste.
Blast analysis of stand alone CFST column
Authors: TIWARI Kartikeya
Published: February 2025

Abstract. The rise in terrorist attacks targeting various locations worldwide has underscored the importance of evaluating structures exposed to blast effects. Despite progress in the field, understanding the response of concrete-framed buildings to extreme loading conditions remains crucial before implementing any protective strategies. The majority of structures impacted by blasts or impacts were not originally designed to withstand such forces, making them particularly susceptible. Consequently, the development of new standards and guidelines for effectively countering explosive threats is a continuous effort. In this research, ANSYS was utilized to develop an in-depth finite element model of a CFST (Concrete Filled Steel Tube) Column. A three-dimensional model of a reinforced concrete column was selected for the analysis. This paper details the structural model's response to simulated blast loads and introduces two alternative designs that could inform future protection measures. The findings indicate that enhancing the design of the column significantly improves its resistance to blast impacts.
Performance evaluation of synthetic jet cooling with cross flow
Authors: JOSE Vivek Mathew
Published: February 2025

Abstract. Jet cooling is one of the effective methods used in situations where high heat transfer is required. The performance of a jet can be enhanced by making the flow unsteady. The flow can be made unsteady by using a pulse jet or synthetic jet. In the case of synthetic jets, the major parameters on which the cooling performance depends are the frequency of flow fluctuation (f), normalized orifice to target spacing(Z/D), Reynolds number (Re) and cross flow. The cooling performance of a circular synthetic jet subjected to cross flow (lateral flow) is numerically investigated. Stokes number is varied from 32 to 93, Z/D from 2 to 12, Re from 5100 to 23000 and ratio of cross to jet flow Reynolds numbers(α) from 0 to 2. As in the case of steady jets, optimum value of Z/D is 6. At Z/D ≥10, synthetic jets are more effective than equivalent steady jets, irrespective of the Stokes number. At Z/D< 10 and at low Stokes numbers, steady jets outperform synthetic jets. In synthetic jets, fluctuation in stagnation Nusselt number is as high as 19 percent of the average value and is due to the impingement of primary vortices on the wall. At low values of Z/D, cross flow helps to enhance peak Nusselt number (Nu). Decrease in peak Nu is observed at high Z/D. At Z/D=6, stagnation Nu reduces by 47% when cross flow with α = 2 occurs. Performance deterioration in the upstream of the jet depends strongly on Z/D.
Stability Analysis of Replacement Material in Dam Body at Meninting Dam
Authors:   Civil Engineering Department, Universitas Jember, 68121, Indosesia, Alamudi Wildan Faris , Nurtjahjaningtyas Indra ,   Civil Engineering Department, Universitas Jember, 68121, Indosesia, Wicaksono Luthfi Amri ,   Civil Engineering Department, Universitas Jember, 68121, Indosesia
Published: February 2025

Embankment material in dam construction is an important aspect that needs to be considered. The lack of embankment material around the dam is a problem in the Meninting Dam construction project, so it uses materials outside the dam area. With the change in the embankment material used, research is needed on the stability of the dam body. This study aims to determine the characteristics of the replacement material, seepage capacity, uplift force, and slope stability safety factor at the dam. Physical tests are used to determine the physical characteristics of the soil (moisture content, soil specific gravity, rock specific gravity, soil plasticity index filter analysis), while the mechanical test is performed to determine the soil's movement, strength, stiffness, and deformation. This study also uses software assistance, such as Geostudio from Rockscience slide, to calculate a slope's stability level. The results showed that the value of the safety factor obtained on the upstream slope without earthquake is 3.463, the upstream slope with OBE earthquake is 2.057, the upstream slope with MDE earthquake is1.588, the downstream slope without earthquake is 3.117, the downstream slope with OBE earthquake is 2.288, downstream slope with MDE earthquake is 1.898. The value of the safety factor is declared safe because the value obtained is >1.5 conditions without an earthquake and >1.2 conditions with an earthquake. The uplift value on every equipotential is 10.58 t/m2. The value of seepage capacity that comes out downstream of the dam is 4,529 x 10-5 m3- seconds. Seepage capacity is said to be safe because < 0.0127 m3- seconds. The lack of stone material as the main constituent of dam deposits in the research area is the main factor in this study, which focuses on finding the value of the safety factor, lifting force, and seepage capacity of the replacement material for dam deposits. This research will use soil-filling material as a substitute for the Constituent stones, which are very limited in number at the research site.
Rainfall-Induced Slope Stability on Soil-Rock Mixture
Authors:   Civil Engineering Department, Universitas Brawijaya, 65145, Indonesia, Abioga Adefi , Rachmansyah Arief ,   Civil Engineering Department, Universitas Brawijaya, 65145, Indonesia, Zaika Yulvi ,   Civil Engineering Department, Universitas Brawijaya, 65145, Indonesia
Published: February 2025

Many landslides are caused by rainfall, and antecedent rainfall plays a major role in slope failure. The landslide in Bululawang, Blitar, is one example of a slope that failed during a rainfall event. The stratification of the rock and soil in this area is complicated. There are several blocks of rock and clay-based soil in the landslide region, along with limestone. This study aims to examine how rainfall affects rock-mixed soil. Electrical resistivity tomography (ERT) was conducted to model the slope stratification combined with boring to verify the results. Soil properties mixed with rock (SRM) were estimated by rock block proportion on the slope. A transient model of slope stability analysis was created using the SEEP/W program to simulate slope seepage and SLOPE/W to compute slope stability. Following the antecedent precipitation, an extreme rainfall event occurred. The findings demonstrate how the slope in Bululawang Blitar is affected by antecedent rainfall, affecting the slope's initial state before applying intense rainfall. The elevation of the groundwater level and the pore water pressure on the slope are altered by antecedent rainfall. When examined, this phenomenon will impact the slope's safety factor. The slope safety factor (FoS) was reduced by 31.48% from 1.542 to 1.057 in the event of extreme rainfall, which does not satisfy the requirement for a slope safety factor of 1.25. The slope design utilizing a counterweight can optimally elevate the slope safety factor (FoS) from 1.057 to 1.461, which exceeds the required value of 1.25. SRM-type soil possesses high permeability, resulting in a rapid decline in the stability value of the slope in the event of extreme rainfall. Consequently, an early warning system tool is necessary to alert against landslide hazards.
Causality Analysis of Construction Failure Using The Event Tree Analysis Method and Fault Tree Analysis
Authors:   Civil Engineering Department, Universitas Teknologi Yogyakarta, 55285, Indonesia, Ambartiyas Puspita , Bhaskara Adwitya ,   Civil Engineering Department, Universitas Teknologi Yogyakarta, 55285, Indonesia
Published: February 2025

A Hotel Apartment project had to be halted, leaving the existing building abandoned for several years. The adverse impacts of abandoned buildings can be structural, physical, environmental, aesthetic, health, economic, reputational, and ecological. Abandoned buildings with unknown structural strength are very vulnerable to disasters and can be dangerous if they collapse. This research was conducted to analyze the causality of construction failure in an Apartment Hotel that has been abandoned for the past 6 years using the Event Tree Analysis (ETA) and Fault Tree Analysis (FTA) methods. The study aimed to determine the probability and causes of construction failures and identify the associated risks. Visually, the building experienced some damage to some of the structural components that had been built. The results of the Rapid Visual Screening analysis show that the building has damage to the components of the existing structural elements with a percentage of 43.67% and is included in the Moderate Damage damage level category. Based on the RVS results, an evaluation is carried out using Event Tree Analysis and Fault Tree Analysis to determine the causal flow of construction failure scenarios and the causes of construction failure.
Actio rerum amotarum – A római házassági vagyonjog egyes kérdései, különös tekintettel a házastársi vagyonközösség gondolatára
Authors: Deák Péter Mihály
Published: February 2025

Jelen műben közreadott letisztázott, s részben kiegészített doktori értekezésünkkel a házastársak által egymás sérelmére elkövetett lopás alapján indítható kereset (az actio rerum amotarum) szabályainak áttekintéséből kiindulva a római családjog és vagyonjog egy különleges metszetének, a házastársak vagyoni viszonyainak vizsgálatához kívánunk csatlakozni. Bár a modern értelemben vett és részleteiben kidolgozott házassági vagyonjogot a klasszikus római jogtudósok nem ismerték, a források alapján intenzíven foglalkoztatta őket a házastársak vagyoni viszonyainak megítélése. Az erről folytatott vitában – modern fogalmakkal, de tartalmilag adekvátan – a házassági vagyonközösség és vagyonelkülönítés gondolatai konkuráltak egymással, s a források alapján idővel az utóbbi felfogás vált uralkodóvá. Több forrásszöveg alapján is következtetni lehet ugyanakkor egy, a praxisban érvényesülő, tényleges, „természetes” vagyonközösség fennállására a házastársak között, s e textusok gyakran az actio rerum amotarum kontextusában helyezkednek el. Célunk a vonatkozó forrásanyag áttekintése és a különböző tárgykörökben fellelhető releváns szabályok közötti összefüggések feltárása révén a házassági vagyonközösségre vonatkozó római felfogás és az ezt visszatükröző jogi szabályozás bemutatása és vizsgálata, mely elsősorban az antik római jog kutatóinak, de számos vonatkozásban a hatályos polgári joggal – s azon belül is elsősorban a családjoggal, illetve a házassági vagyonjoggal – foglalkozó szakembereknek az érdeklődésére is számot tarthat.
Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study (Preprint)
Authors: Song Xiaowei , Wang Jiayi , He Feifei , Yin Wei , Ma Weizhi , Wu Jian
Published: February 2025

BACKGROUND

Stroke is a globally prevalent disease that imposes a significant burden on health care systems and national economies. Accurate and rapid stroke diagnosis can substantially increase reperfusion rates, mitigate disability, and reduce mortality. However, there are considerable discrepancies in the diagnosis and treatment of acute stroke.

OBJECTIVE

The aim of this study is to develop and validate a stroke diagnosis and prediction tool using ChatGLM-6B, which uses free-text information from electronic health records in conjunction with noncontrast computed tomography (NCCT) reports to enhance stroke detection and treatment.

METHODS

A large language model (LLM) using ChatGLM-6B was proposed to facilitate stroke diagnosis by identifying optimal input combinations, using external tools, and applying instruction tuning and low-rank adaptation (LoRA) techniques. A dataset containing details of 1885 patients with and those without stroke from 2016 to 2024 was used for training and internal validation; another 335 patients from two hospitals were used as an external test set, including 230 patients from the training hospital but admitted at different periods, and 105 patients from another hospital.

RESULTS

The LLM, which is based on clinical notes and NCCT, demonstrates exceptionally high accuracy in stroke diagnosis, achieving 99% in the internal validation dataset and 95.5% and 79.1% in two external test cohorts. It effectively distinguishes between ischemia and hemorrhage, with an accuracy of 100% in the validation dataset and 99.1% and 97.1% in the other test cohorts. In addition, it identifies large vessel occlusions (LVO) with an accuracy of 80% in the validation dataset and 88.6% and 83.3% in the other test cohorts. Furthermore, it screens patients eligible for intravenous thrombolysis (IVT) with an accuracy of 89.4% in the validation dataset and 60% and 80% in the other test cohorts.

CONCLUSIONS

We developed an LLM that leverages clinical text and NCCT to identify strokes and guide recanalization therapy. While our results necessitate validation through widespread deployment, they hold the potential to enhance stroke identification and reduce reperfusion time.
Food Insecurity and Risk of Hospitalization among Adults Receiving In-Center Hemodialysis
Authors: Taylor Kathryn S. , Santos Sydney R. , Novick Tessa K. , Chen Yuling , Smith Owen , Perrin Nancy , Crews Deidra C.
Published: February 2025

Background:

Food insecurity is common among people receiving in-center hemodialysis and living in residentially segregated communities. Food insecurity is associated with hospitalization in other chronic diseases but is understudied in the adult dialysis population.

Methods:

We examined the association of food insecurity with all-cause hospitalization risk among adults receiving in-center hemodialysis. From February through December 2021, we conducted a prospective cohort study of adults at 17 dialysis facilities in Maryland, Washington D.C., and Virginia. Participants completed a food insecurity survey at baseline and were monitored through their dialysis facility electronic medical record for six months. We censored participants upon change in dialysis modality, kidney transplantation, transfer to a non-participating dialysis facility, loss to follow-up, death, or end of the study follow-up period.

Results:

We enrolled 322 participants. Out of the 288 participants with survey and clinical record data, 61 (22%) reported food insecurity in the previous year and 91 (32%) experienced an all-cause hospitalization. Thirty-nine (13%) participants were censored before the end of the study period.

Food insecurity was not a significant predictor of all-cause hospitalization in the full sample (adjusted hazard ratio [aHR] 1.06, 95% CI 0.63 – 1.8). In exploratory analyses, all-cause hospitalization risk differed among younger and older participants reporting food insecurity, suggesting effect modification by age group (<55 years: aHR 2.00, 95% CI 0.91 – 4.42; ≥ 55 years: aHR 0.63, 95% CI 0.28 – 1.41; P-value for interaction 0.06). The risk of fluid or electrolyte-related hospitalizations among participants reporting food insecurity was three-fold higher than participants who were food secure (aHR 3.04, 95% CI 1.16 – 7.96).

Conclusions:

In a cohort of adults receiving in-center hemodialysis, food insecurity was not associated with all-cause hospitalization but was associated with fluid or electrolyte-related hospitalization. Younger adults receiving in-center hemodialysis may be more susceptible to consequences of food insecurity.
Ownership Structure and Firm Performance: Evidence from United Kingdom Listed Companies
Authors: Mu Qianyu , Wang Yudong
Published: February 2025

The published empirical and analytical corporate governance literatures on the influence of ownership structure on company performance are still controversial. In our study, the correlation between ownership structure and firm performance is explored for 66 non-financial listed companies in UK over period from 2011 to 2015. Meanwhile this paper utilized value of Tobin’s q and ROA as the firm performance respectively in order to clarify comprehensive analysis. The results illustrated that institutional ownership does not have impacts on firm performance. Meanwhile, as the widely diffuse ownership structure is common in UK, our study shows that there is no correlation between first largest shareholder and company performance. Moreover this paper found the relation between government ownership and company performance is non-linear. In the final analysis, shareholding by the domestic shareholders is negatively correlated to corporate performance.
Advanced Image Analytics for Sustainable Forest Management: Automating Tree Enumeration Using Satellite and Aerial Imagery
Authors: Srinivas Naidu Sai
Published: February 2025

Accurate and efficient tree enumeration is essential to sustainable forest management of forest ecosystems. The work
that we present in this project integrates advanced image analytics techniques along side satellite and aerial imagery to enable
tree detection and enumeration. The proposed system utilizes high resolution imagery and current leading machine learning
techniques to improve both the precision and scaling of forest inventory processes. This work includes preprocessing techniques
for image quality improvement for preprocessing, deep learning models (Deep Neural Networks such as Convolutional Neural
Networks for tree detection, and data visualization tools for actionable insights. Results are shown to provide significant
improvements in accuracy over traditional methods, while scalability is achieved for diverse forest ecosystems. Its existence
supports forest conservation efforts with real time monitoring of forest health, carbon stock assessment and biodiversity
conservation. We illustrate the role of combining remote sensing and artificial intelligence in more effectively realizing
sustainable forest management.
Data-Driven Insights into Unburnt Ash Carbon Mitigation: An EDA Perspective
Authors: Verma Aryan
Published: February 2025

Electrical energy is primarily generated in thermal power plants. The boilers used in a thermal power plant is an
important part of energy production. Predicting the important factors which leads to energy loss or wastage of the fossil fuel,
coal will be majorly important because we could reduce the wastage before boilers are used. Since it will be the analysis of
relationship between physical properties of the raw materials, e.g., coal, water, air , a one time analysis’s results won’t change
because physical properties of a matter stays constant. A boiler requires coal, heat and air for input and excludes hot flue gas
which could become a reliable source of heat, suitable for purposes of drying away moisture from industrial equipments ; the
boiler also leaves unburnt carbon as waste, there are no further applications for it yet. Managing boilers would mean less or no
wastage of coal. This analysis report is the detailed analysis of Boilers’ Indirect method of calculating efficiency. It provides
detailed analysis about unburnt carbon along with all the factors where heat is lost. The applied exploratory analysis on thermal
energy production to ensure that coal is burns properly without any wastage, leaving less or no unburnt carbon.
Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities: A Stakeholder’s Perspective
Authors: Modi Mr. Ashish
Published: February 2025

Modern cybersecurity now includes artificial intelligence (AI), which is essential for protecting digital infrastructures
against ever-evolving threats like malware, phishing scams, and illegal intrusions. AI has changed how businesses protect
themselves from cyber threats by processing enormous volumes of data, identifying irregularities, and automating security
procedures. Beyond its uses in cybersecurity, artificial intelligence (AI) is becoming more and more integrated into eGovernment frameworks, which enables governments to improve risk management, regulatory enforcement, and service
efficiency. Proactive threat identification, expedited decision-making, and enhanced citizen involvement are guaranteed by the
incorporation of AI-driven security measures into e-Government. However, there are several facets to the interaction between
cybersecurity, e-Government, and AI, which are impacted by stakeholder involvement, policy concerns, and technology
developments. Beyond its uses in cybersecurity, artificial intelligence (AI) is becoming more and more integrated into eGovernment frameworks, which enables governments to improve risk management, regulatory enforcement, and service
efficiency. Proactive threat identification, expedited decision-making, and enhanced citizen involvement are guaranteed by the
incorporation of AI-driven security measures into e-Government. However, there are several facets to the interaction between
cybersecurity, e-Government, and AI, which are impacted by stakeholder involvement, policy concerns, and technology
developments.
Método montessori una alternativa diferente a la tradicional para aplicar en la educación
Authors: Rosero Estrada Marlyn Jasmin
Published: February 2025

El presente artículo se realiza con la finalidad de dimensionar la relevancia de una educación que diste de lo tradicional y brinde autonomía al educando mediante la pedagogía Montessori y dejar indicios de cambio para transformar la participación desmotivada a una participación activa o enérgica, ya que en cierta medida el responsable de suministrar lo necesario para que germinen las semillas del interés que el educando es el educador. La metodología empleada se centra en la revisión documental, una investigación que focaliza textos como: artículos, libros, trabajos de grado y tesis. Esta metodología permite la recolección de información sobre el método Montessori, desde su creación hasta los efectos que ha causado en la actualidad, asimismo, los aportes que surgieron de la observación directa por su creadora y el ambiente para la implementación del método. También se visibiliza la importancia, así como la posibilidad de integrar este método, en su mayoría, en la educación primaria y bachiller, sin embargo, también se evidencian algunas posibilidades en el ámbito universitario. En síntesis, se corrobora la implementación significativa del método Montessori en algunos niveles de educación, es decir, que el aprendizaje pleno se puede desarrollar mediante esta nueva pedagogía.
La argumentación en algunos discursos políticos de Colombia
Authors: Yama Rosero Andrés Felipe
Published: February 2025

El siguiente escrito discurre sobre el análisis de discursos políticos con base en las teorías de Teun Van Dijk, Pierre Bourdieu, Christian Plantin y Roberto Ramírez, entre otros. Se asumen tres discursos políticos: Jorge Eliecer Gaitán (1946), Iván Duque (2014-2018) y Gustavo Petro Urrego (2022). Se aplica la siguiente metodología: Paradigma cualitativo y enfoque histórico hermenéutico documental. El fin de este proyecto es identificar la construcción de los discursos desde la perspectiva de la argumentación, precisar las coincidencias y discrepancias encontradas en los textos, reconocer los planteamientos argumentativos, de igual forma develar las falacias, ideología y racismo a través de la palabra argumentada.
Caracterización de la innovación de procesos en treinta y nueve nodos productivos sostenibles en el municipio de Pasto, Colombia
Authors: Egas Benavides David Steven
Published: February 2025

Los sistemas productivos y empresariales, se han enfrentado al gran reto de innovar para incrementar su competitividad, calidad y globalización. Esta interacción permite el desarrollo holístico de los sistemas productivos, aplicando el apoyo en redes institucionales y comunitarias, con el ánimo de fortalecer el tejido social y desarrollo integral territorial. El presente trabajo de investigación plasma el análisis de los procesos de caracterización de la innovación, adquiridos en el marco del proyecto denominado “Transformación, territorial, resiliencia y sostenibilidad 2020-2022” en su primera fase, ejecutado por FAO en conjunto con la Alcaldía municipal de Pasto-Nariño. Se implementaron 39 nodos productivos sostenibles, los cuales solo producían papa y leche como actividad primaria; el proyecto se sometió a un análisis estadístico comparativo de medias a través del paquete estadístico INFOSTAT 2020, para caracterizar el grado de adopción de la innovación en las comunidades beneficiarias del proyecto. Los resultados mostraron que en la fase uno, el promedio de tecnologías usadas por la comunidad campesina era del 23,8% correspondiente a 14 prácticas en promedio y en la segunda fase el incremento de tecnologías implementadas fue del 22,48% que corresponde a 13 nuevas prácticas respectivamente; igualmente, se pudo observar que las tecnologías más empleadas fueron: adecuación de sistemas silvopastoriles, prácticas de conservación de suelos, coberturas de suelos, uso de abonos orgánicos y manejo de biopreparados. Se concluye que el trasegar de esta investigación, las comunidades han generado un impacto significativo, duplicando el número de nuevas prácticas usadas en los nodos productivos sostenibles. Igualmente, se puede apreciar que el nivel de vida percibido por la comunidad no presenta cambios significativos, pero la tendencia del nivel de vida en las comunidades aumenta debido al proceso de transferencia de tecnología y desarrollo en los territorios.
Evaluating the Effectiveness of Treating Wheat Flour with ECO2-Fume Fumigant, Gamma Irradiation and Microwave Heating in Controlling Adults and Larvae of the Saw-Toothed Grain Beetle, Oryzaephilus surinamensis and the Effect of These Treatments on Some Flour Components
Authors:   Plant Protection Research Institute (PPRI), Agricultural Research Centre, 12611, Dokii, Giza, Egypt, Ayad E.L. , Abd Elhalim H.T. ,   Plant Protection Research Institute (PPRI), Agricultural Research Centre, 12611, Dokii, Giza, Egyp
Published: February 2025

The aim of this study was to evaluate the effectiveness of treating wheat flour with ECO2-Fume® fumigant (mixture of phosphine and carbon dioxide), gamma irradiation, and microwave heating in controlling adults and larvae of the Suriname sawfly beetle. Wheat flour was exposed to ECO2-Fume in Shona Qalyoub (Qalyubia Governorate, Egypt), and flour samples were exposed to gamma irradiation at the National Center for Radiation Research and Technology, and microwave oven under laboratory conditions. ECO2-Fume fumigant at a concentration of 25, 30, 40 and 50 g/m3, with exposure for three days was used. The mortality rate was 100% for adults and larvae, when applied at a rate of 50 g/m3. The decline rate in the number of adults in the first generation was 100%, and there was no emergence of adults when treatment was made at the larval stage. Gamma irradiation was used at doses of 200, 400, 600, and 800 Gray. The highest mortality rate was 100% when adult insects were exposed to 800 Gray, ten days after treatment, and the larval mortality rate was 100%, five days after treatment at the concentrations of 800 and 600 Gray. In addition, population decrease rate (%) of adults of the first generation and larvae was 100% with all concentrations used. Microwave energy was used against adults and larvae of the Suriname saw beetle by exposing it to three different microwave powers, namely 180, 300, and 450 watts, for different exposure durations (20, 40, 60, 80, 100 and 120 seconds). The death rate reached 100% within 120 seconds with 450 watts. Regarding the effect of previous treatments on the main chemical components of wheat flour, the results generally showed slight differences in the protein, carbohydrates and fats content in wheat flour treated with gas at 50 g/m3 and gamma rays at 800 Gray. Whereas, in the case of microwave treatment at 450 W, significant differences in protein, carbohydrate and fat content were recorded when compared with the control treatment.

Keywords:

Stored products, insects, fumigant, radiation, microwave.
Heisenberg scaling based on population coding
Authors: Hayashi Masahito
Published: February 2025

We study Heisenberg scaling of quantum metrology in the viewpoint of population coding. Although Fisher information has been used for a figure of merit to characterize Heisenberg scaling in quantum metrology, several studies pointed out it does not work as a figure of merit because it does not reflect the global structure. As an alternative figure of merit, we propose the mutual information, which connects the number of distinguishable elements of the parameter space in the viewpoint of population coding. We show that several unitary models achieve Heisenberg scaling in this context.
Intensidad y duración de la respuesta inmune humoral a la vacuna para COVID 19 en trabajadores de la salud, utilizando una prueba de anticuerpos IgG cuantitativos
Authors: Becerra Gabriela , Ospina Sigifredo , Pizano Lisseth , Pérez Danys , Pérez Edward , Moncada Juan Sebastian
Published: February 2025

Introduccion: La pandemia de COVID 19 ha afectado severamente a la humanidad, causando una alta morbilidad y mortalidad en todos los paises del mundo. El objetivo de este estudio fue determinar la intensidad y duración de la respuesta de anticuerpos IgG frente a la vacuna para COVID 19 en trabajadores de la salud. Materiales y métodos: Estudio descriptivo prospectivo longitudinal de evaluación de la respuesta inmune a la vacuna para COVID 19, con cuantificación de anticuerpos IgG para SARS CoV 2. Se realizaron mediciones a los 4, 8, y 12 meses post vacuna.  Resultados: Primera medición (306 trabajadores): mediana de anticuerpos de 770.5 BAU/ml (RIQ: 338.7-2314.2); segunda medición (169 trabajadores): mediana de  185.7 BAU/ml (RIQ: 85.4-418.1); tercera medición (88 trabajadores): mediana de 3270 BAU/ml (RIQ:2480-3270). Mayor respuesta de anticuerpos en los trabajadores con antecedente de COVID 19. Discusión: La vacuna para COVID 19 genera una buena respuesta de anticuerpos, los cuales disminuyen en el tiempo y se recuperan con una dosis de refuerzo. La prueba de anticuerpos IgG cuantitativa contra RBD puede ser un buen correlato de protección.
Freer logion un Marka evaņģēlija noslēgums
Authors: Kokins Ralfs
Published: February 2025

Freer logion ir pergamenta rokraksta (majuskuļa) W032 iespraudums MkEv 16. nodaļā starp 14. un 15. pantu. Marka evaņģēlija “garais vai neīstais noslēgums” MkEv 16,9–20, ko satur arī šis rokraksts, visticamāk, nav piederējis MkEv sākotnējam tekstam. Freer logion tomēr neizskatās pēc gnostiska evaņģēlija vai tā fragmenta – tas MkEv 16,9–20 kontekstā labi korespondē ar daudzām svarīgām MkEv tekstā esošām tēmām un tāpēc drīzāk būtu uzskatāms par apustulisku mēģinājumu organiski turpināt MkEv 16,8 tik aprauto Lieldienu stāstu. Marka evaņģēlija autors savu Lieldienu stāstu, visticamāk, ir apzināti un jēgpilni noslēdzis tieši ar 16,8, un tam ir konkrēts teoloģisks vēstījums. Šo specifisko teoloģisko vēstījumu tad arī mēģina skaidrāku padarīt Freer logion – tas norāda uz pēclieldienu pieredzes raksturu, kas savā būtībā ir neparedzama, neplānojama un nekontrolējama.
The Fallen Hero Writes a Letter to the Future: On Different Voices in Soviet Commemorative Practices of the 1960s
Authors: Malaia E. K. , Shtyrkov S. A.
Published: February 2025

The article deals with a pattern of Soviet civil rituals of the 1960s where a soldier killed at the WWII was “given” a personal voice to address the living. In an atheist state, listening to the voices of the dead should not have been a conventional metaphor; however, the organizers of these ritual performances took what was happening as seriously as possible. The article focuses upon the story of three such “letters to the future” written for the so‑called “time capsule” in 1967. These letters were created by members of the Novorossiysk teenage club “Schooner of Peers” on behalf of the teenagers who volunteered for the WWII and died there. These letters offer a frame of communication between the deceased teenagers of the 1940s and the yet‑to‑be‑born teenagers of the 2010s. The paper considers the case as an example of Soviet ritualized speech. Drawing on Erwing Goffman’s theory of “social voice”, the article places the practices of speaking on behalf of the dead in the broader context of late Soviet state‑building practices that used the figures of dead young volunteers to promote the concept of the “unpaid debt of the living to the dead.”
Inclusión dentro de las aulas educativas para el mejoramiento en estudiantes con discapacidad intelectual grado 1
Authors:   Universidad Técnica de Machala, Garcés Calva Segundo William
Published: February 2025

La educación es un derecho universal en especial en un Estado de derecho como el Ecuador, en donde los centros e instituciones educativas forman a personas de bien funcionales para la sociedad, profesionales capaces de solventar los problemas e inequidades sociales y sobre todo ser capaces de desenvolverse en el contexto donde viven. Hoy en día ante el avance de las ciencias, tecnologías de la comunicación e información (TIC´s), derechos y cultura se hace necesario e imperioso mejorar la inclusión en las aulas de clase, en especial en lo referente a la educación básica en el entorno local particularmente en lo relacionado con la discapacidad intelectual. El objeto de este estudio es analizar la situación de la inclusión educativa en torno a estudiantes con discapacidad intelectual grado 1 en el país mediante una revisión literaria; se busca diagnosticar los principales retos, desafíos, situaciones, tipos de discapacidad intelectual y proponer recomendaciones factibles en la realidad social del sistema educativo actual.
EFL Reading Materials Revisited: The Role of Teaching Processes, Individual Learning Prerequisites, and Textbook Use
Authors: Putri Rr. Aurel Ramadhani , Emaliana Ive , Suwarso Pratnyawati Nuridi
Published: February 2025

The intensive reading module's instruction underscores the need to change based on the new curriculum guidelines, outcome-based education (OBE), which concentrates on student-centered learning. Based on this research’s grand theory, this can be achieved by investigating the teaching activity's process and students’ individual learning beliefs. This research aimed to analyze these factors as a part of need analysis. The study used a mixed-method approach. The data were collected using questionnaires, interviews, and a module analysis checklist based on OBE principles. The respondents comprised 164 third and fourth-year Indonesian students who took an intensive reading class and one lecturer who taught parallel intensive reading classes. The data were analyzed qualitatively and quantitatively. The study results showed that students have sophisticated epistemic beliefs in learning this course, and there is a significant correlation between the proposed reading strategy and students’ epistemic beliefs. Therefore, as the new reading strategy proposed, CSR should be implemented appropriately. Moreover, the findings revealed that the intensive reading classes did not apply the appropriate reading strategy that aligns with students’ learning beliefs and OBE principles in its implementation. In addition, students showed positive attitudes toward the proposed reading strategy. Furthermore, the module analysis indicated several poor indications that should be changed to meet the OBE principles and the student’s learning needs. These findings are the basis for developing the module analysis based on the needs of students. Due to the study’s scope and limitations, further research is recommended.
A REVIEW AND ANALYSIS OF THE INFLUENCE OF TECHNOLOGICAL PARAMETERS ON THE EFFICIENCY OF PROCESSING HARD-TO-MACHINE MATERIALS
Authors:   Department of Robotics and Integrated Mechanical Engineering Technologies, Prodanchuk Oleh , Stupnytska Nataliya ,   Department of Fundamental Economic and Natural Sciences Disciplines, Olenuk Taras ,   Department of Robotics and Integrated Mechanical Engineering Technologies
Published: February 2025

The article analyzes modern technologies for machining workpieces of hard-to-machine materials with a hardness parameter higher than 45 HRC (Rockwell hardness). It is shown that the mechanics and thermodynamics of the forming process in such materials are subject to specific laws of cutting theory, which have systemic differences from the processing of traditional engineering materials. The advantages and disadvantages of machining chromium-nickel alloys using CNB inserts instead of grinding are analyzed. The influence of the cutting tool geometry during the machining of hard-to-machine materials is shown.
Exploring RAG Solutions for a Specific Language: Albanian
Authors: Ramadani Leotrim , Doko Fisnik
Published: February 2025

The primary goal of this project is to develop a powerful information retrieval and question-answering system specifically tailored for Albanian- speaking users, bridging the gap between traditional document search methods and modern, context-aware responses. This solution aims to address the unique linguistic and document-processing challenges present in Albanian-language data by combining state-of-the-art Retrieval-Augmented Generation (RAG) techniques with advanced natural language processing (NLP) capabilities. Through the implementation of this RAG solution, we aim to empower organizations, educational institutions, and users in Albanian-speaking regions with fast, accurate, and contextually relevant access to information within their documents. By leveraging vector- based search, large language models, and optimized document processing adapted to the nuances of the Albanian language, this system will simplify information access, reduce reliance on manual searches, and enhance decision-making processes. Retrieval-augmented generation (RAG) is a technique for increasing the accuracy and reliability of generative models of Artificial Intelligence with facts obtained from various external resources. This technique or solution fills a gap in the way LLM works. In other words, LLMs are like neural networks of the brain, usually measured by the number of parameters they contain in the current digital era, organizations and institutions in Albanian-speaking regions face significant challenges in processing, analyzing, and efficiently retrieving information from their documents. Traditional search methods often fail to understand the contextual nuances of the Albanian language, leading to inefficient information retrieval and suboptimal user experiences. Also, the lack of specialized “Natural language processing” or NLP (natural language processing) tools for the Albanian language creates barriers in the effective implementation of document management and question-answering systems.