bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance and resilience of the PolyCera® Titan membrane for industrial wastewater treatment
Authors: Teow Yeit Haan , Zulkifli Ernie , Wikramasinghe S. Ranil
Published: February 2023

This research aims to evaluate the performance of PolyCera® Titan membrane for different wastewater treatment. Membrane filtration of several cycles was conducted in understanding the fouling mechanism, fouling propensity, and defouling potential of the PolyCera® Titan which had not been studied by any other researcher before. The PolyCera® Titan membrane is effective for the treatment of textile industry wastewater, palm oil mill effluent (POME), leachate, and semiconductor-industry wastewater. Rejection of methylene blue (MB) and Congo red (CR) was in the range of 78.76–86.04% and 88.89–93.71%, respectively; 94.72–96.50% NaCl, 96.07–97.62% kaolin, and 97.26–97.73% glucose were rejected from synthetic leachate indicating the removal of TDS, TSS, and COD from the leachate, respectively. Standard blocking and complete model were the best models used to explain the PolyCera® Titan membrane fouling mechanism in all types of wastewater treatment processes with a high R2 value. Physical cleaning with the use of distilled water was able to recover the permeate flux with the flux recovery ratio (FRR) value in the range of 79.2–95.22% in the first cycle, 81.20–98.16% in the second cycle, and 86.09–95.96% in the third cycle.
Attraction of Individuals to Russian Stock Market
Authors: Garnov A. P. , Afanasyev E. V.
Published: February 2023

The article studies investment activity of the population on Russian stock market in 2015–2022. The research used data and analytical information of the Federal Service of State Statistics, the Central Bank of the Russian Federation, the Moscow Exchange, NAFI Analytical Center. The authors ground the importance of attracting individuals to the stock market in conditions of economic sanctions introduced against Russia. They come to the conclusion that the growth in the number of private investors and the amount of funds on individual investment accounts are influenced by concessional taxation, higher real incomes of the population, improving financial literacy and trust to the stock market, as well as simplifying registration and trade on stock market and rising profitability of investing into shares and bonds. The adverse impact on the number of brokers’ clients and the amount of funds on individual investment accounts is rendered by deposit rates in banks, dropping confidence to stock market and deterioration in conditions for saving building. The authors provide recommendations on developing the stock market in Russia, which include extension of concessional taxation on transactions with securities by individuals, better accessibility of digital tools and services, for instance by the ‘Marketplace’ project, higher level of finance literacy of the population, especially in rural and remote regions.
Анализ реакции цен отрасли на влияние внешних факторов на основе модели межотраслевого баланса
Authors: Vorotnikova D. V. , Moiseev N. A. , Tryndina N. S.
Published: February 2023

The article provides the author’s methodology of analyzing industry response to external shock, which gives an opportunity to assess changes in price for products under the external influence, such as changes in tax policy of state, impact of sanctions, investment policy, steps of competitors and competing industries, etc. in order to reach balance. This is especially important in the period of overall uncertainty and turbulence of economic processes. Industry response to external shocks is analyzed on the basis of the model of general declining gradient. This methodology can help find price balance of different industries, it can also help conduct thorough analysis, identify facts affecting the present processes, model scenarios of their development while implementing various managerial decisions. The authors draw the conclusion that the present methodology is effective and it corresponds to analyzing and modeling of economy.
From Society of Sentimentality to Society of Joint Control
Authors: Churilin M. Yu. , Valiulina T. A.
Published: February 2023

The article analyzes the diagram of demand and supply and identifies median figures, around which demand is formed in case the economic agent presenting it consists of a bigger number of households. The impact of mass media on demand shaping is provided. The article shows how the ad institution influences households and motivates them to buy goods at higher prices. With the help of physicalism analogues of impacts exerted on households are identified and a conclusion is drawn that to analyze economic events it would be useful to apply methods of quantum-relative view of the world instead of traditional methods of mechanicism, which build the foundation of economics. Today’s analogues from physics can enrich tools of economists-theoreticians and provide new interpretations of behaviorist economics, for example why and in what way it is possible to single out a group with certain characteristics from of community of people. This method of putting people in target audience is widely used in advertising even today, which within the frames of globalization economy is becoming a specific tool of shaping society of sentiments. The article uses this term to designate households that under the influence of ads form their expectations about product usefulness. It can give an opportunity to the economic agent that enters the market with product proposal to sell it at the price, whose median figure is higher that the mean product price. In accordance with ideas of physicalistic nature the article demonstrates trends for restructuring national economic space in view of globalization model of economy termination. The author regards economic space as an analogue of electro-magnetic field and the Internet as its extension and he came to the conclusion about changes in methods of influencing households. Sentiment is replaced by methods of joint control that are built by social networks, for instance in bloggers’ community. Such community is often formed by national traits and reputation plays an important role in it.
Ecological Insurance of Arctic Oil and Gas Producing Shelf Projects in Russia
Authors: Kudryavtseva O. V. , Serebrennikov E. V.
Published: February 2023

The article deals with problems of ecological insurance of arctic oil and gas producing shelf projects in Russia and possible ways of its development. The authors put forward the method of estimating financial security of operations on eliminating possible ecological damage in case of hydrocarbon spill on arctic shelf oil and gas producing fields and study oil spills on arctic shelf fields ‘Prirazlomnoye’ and ‘Pobeda’. They estimate the cost of measures aimed at elimination of such incidents and propose a special indicator, i.e. financial loss factor for oil spill. Empiric conclusions obtained by comparative analysis of legislation in the field of ecology of entrails use in Russia, Norway, the US and Canada can be used for optimization of the effective Russian legislation and introduction of obligatory ecological insurance. Data of mathematic spill modeling can be applied by insurance companies for calculating insurance premium, by Rosprirodnadzor – for charging penalties and for other supervision bodies – for underwriting oil and gas arctic projects.
Cluster Appoach to Analyzing Registered Unemployment in the Region
Authors: Portnova L. V.
Published: February 2023

The topic of the research is acute due to the fact that for a couple of years labour market of each region and Russia as a whole has been suffering turbulence because of changes in economic situation. It always responds sharply to all changes taking place in the field of economy. The article provides results of differentiation of cities and city districts of the Orenburg region by registered unemployment rate in 2017 and 2020. The choice of time slots for the research is stipulated by changes in regional labour market connected with the pass-over to digitalization, as well as impact of crisis events in economy. Estimation of varying parameters allows us to see heterogeneity in cities and city districts of Orenburzhiya. As a result of cluster analysis groups of administrative territories of the Orenburg region were found that are characterized by high, average and low level of registered unemployment indicators. Slight changes in cluster structure were identified. Results of cluster-groups comparison can be used as a foundation for devising regional employment policy aiming at smoothing differences between cities and city districts in the Orenburg region by key indicators of this sphere of economy development.
Stock Market Laws
Authors: Galanov V. A. , Galanova A. V.
Published: February 2023

Stock market is seen as a sum total of different happenings, especially if we speak about share price. However, share price, as any other economic phenomenon is a combination of chance and law. Occasional nature of share price is evident in its everyday trading. In this case law is hidden under the opportunity to forecast share prices. For longterm periods law-governed nature of share price can be seen in its trend to growth, which can be accompanied by stock crises. The stock crisis in all its worth, as an even and as a process of share price drop is also a stock market law similar to a trend of its growth in time based on unlimited process of growing profit functioning capital. The law of changing the share price in the long-run period is a combination of opposite laws. Chance built in the growth trend, on the one hand includes uncertainty of both duration of share price growth period and characteristics of its drop during stock crises. On the other hand, long-term dynamics of share price is dynamics of its short-term casual changes.
Influencia de los procesos cognitivos en la intención de segregar residuos sólidos, según género de estudiantes universitarios
Authors: Perez Fon Diana C. , Huerta Camones Luis E.
Published: February 2023

La investigación estableció como objetivo determinar las diferencias en la influencia de los procesos cognitivos en la intención de segregar residuos sólidos entre mujeres y hombres universitarios. Los procesos cognitivos estudiados son explicados utilizando como base la teoría de la motivación a la protección. La muestra de estudio fue de 189 estudiantes de una universidad pública, estratificada en 97 mujeres y 92 hombres. Para las estadísticas inferenciales, se utilizó el análisis de regresión lineal simple. Los resultados indican que existe influencia significativa positiva de los procesos cognitivos en la intención de segregar. También, se evidenció que si bien las mujeres muestran una influencia mayor, la diferencia con los hombres no es significativa. Se concluye que si bien es importante tomar en cuenta la diferencia en la influencia de los procesos cognitivos de mujeres y hombres al diseñar programas de segregación en las universidades, al parecer esa diferencia entre géneros se va haciendo menos significativa conforme las personas logran una mayor educación.
High Expression of PKMYT1 Predicts Poor Prognosis and Aggravates the
Progression of Osteosarcoma via the NF-κB Pathway in MG63 Cells
Authors: Lu Yang , Li Ping , Zhou Yuandong , Zhang Jian
Published: February 2023

Background:

Protein kinase, membrane associated tyrosine/threonine 1 (PKMYT1) contributes to the proliferative, migratory, invasive and colony forming capabilities of oncocytes. Dysregulated expression of PKMYT1 is associated with numerous malignancies. However, at present, the functional role of PKMYT1 in osteosarcoma is still not clarified.

Objective:

The present study, therefore, aimed to investigate the prognostic value of PKMYT1 in osteosarcoma, and to explore the underlying molecular mechanism(s).

Methods:

To meet this end, the expression level of PKMYT1 in osteosarcoma was measured by immunohistochemical analysis. The prognostic value of PKMYT1 in osteosarcoma was analyzed on the basis of R2: Genomics Analysis and Visualization Platform. The functional role of PKMYT1 was subsequently investigated in MG63 cells by knocking down PKMYT1 expression via lentivirus encoding shRNA. MTT assay, scratch wound and Transwell assays were then used to determine whether PKMYT1 fulfills a role in the proliferative and invasive capabilities of the MG63 cells. Subsequently, the role of PKMYT1 in the apoptosis of the cells was assessed using western blot and immunofluorescence analyses. Finally, to determine whether PKMYT1 exerts its role through the NF κB pathway, fibroblast stimulating lipopeptide 1 (FSL 1) was used as an NF κB activator.

Results:

Compared with normal tissues, osteosarcoma tissues showed a significantly increased level of PKMYT1 expression. The clinical survival analysis indicated that patients with high PKMYT1 expression were associated with lower probabilities of overall survival and metastasis free survival compared with those with low PKMYT1 expression levels. Knockdown of PKMYT1 inhibited the migratory and invasive capabilities of the MG63 cells, and also facilitated their apoptosis. Moreover, the knockdown of PKMYT1 restrained the NF κB pathway in MG63 cells, whereas activating the NF κB pathway ameliorated the effects of silencing PKMYT1 on MG63 cells, suggesting that PKMYT1 functions via the NF κB pathway in MG63 cells.

Conclusion:

Taken together, the results of the present study have shown that a high expression level of PKMYT1 is associated with poor prognosis of osteosarcoma, and that PKMYT1 is able to aggravate the malignant progression of MG63 cells via negatively regulating the NF κB pathway, suggesting that PKMYT1 may be a potential molecular therapeutic target for the treatment of osteosarcoma.
Synthesis, Structure-activity Relationship, and Biological Activity of
Benzimidazole-quinoline: A Review to Aid in the Design of a New Drug
Authors: Datt Vimal , Salahuddin  , Mazumder Avijit , Kumar Rajnish , Singh Himanshu , Yadav Ranjeet Kumar , Shabana Km , Shahar Yar Mohammad , Ahsan Mohamed Jawed
Published: February 2023

Heterocyclic compounds are fundamental building blocks for developing novel bioactive compounds.
Due to their extensive uses in both industrial and synthetic organic chemistry, quinoline and benzimidazole
have recently become important heterocycles. Clinical trials have investigated quinoline and
benzimidazole analogues to treat a variety of illnesses, including cancer, bacterial and fungal infection,
DNA damage, etc. Medicinal chemists are paying attention to nitrogen-containing hybrid heterocyclic
compounds that have a wide range of therapeutical potential with lesser adverse effects. Many efforts
have been made to find new and more efficient ways to synthesize these molecules. However, microbial
resistance is becoming a major threat to the scientific community; hence, the necessity for the discovery
and development of novel antimicrobial drugs with novel modes of action is becoming highly significant.
One strategy to overcome this problem is to produce hybrid molecules by combining two or more bioactive
heterocyclic moieties in a single molecular platform. Based on established research data on quinoline-
bearing benzimidazole derivatives, it can be concluded that both moieties are used for the synthesis
of promising therapeutically active agents. This present review comprises the synthetic approaches of
biologically active quinolines containing benzimidazole derivatives with their structure-activity relationship
studies to provide an overview of the work done on quinoline derivatives to the medicinal chemist
for future research.
Analysis of the Causes and Experience in the Diagnosis and Treatment of
Meningocele Caused by Sternberg’s Canal of the Sphenoid Sinus: Two
Case Reports and a Review of the Literature
Authors: Guo Ai-Shun , You Wei , Lin Zhen-Rong , Wang Yu-Zhe , Wang Wei-Wei , Lin Rui-Sheng , Qiu Shu-Qin
Published: February 2023

Objective:

The present study aimed to improve the diagnosis and treatment outcome of cerebrospinal fluid (CSF) rhinorrhea caused by patent meningoencephalocele of Sternberg’s canal of the
sphenoid sinus by analyzing the clinical data and imaging features of two rare cases of this disease and
by reviewing the relevant literature for possible etiology, diagnoses, and treatments.

Methods:

Together with the relevant literature, we retrospectively studied the clinical and imaging data
of two patients (mother and child) with CSF rhinorrhea caused by patent meningoencephalocele of
Sternberg’s canal of the sphenoid sinus, analyzed their diagnostic and treatment procedures, and proposed a potential, feasible treatment method.

Results:

On the 2nd day after surgery, the expansive sponge and iodoform gauze in the nasal cavity
were removed in both patients, and the lumbar subarachnoid drainage was removed 3 days after the
operation, as no nasal discharge was observed. One week after the operation, head magnetic resonance
imaging (MRI) showed that the abnormal tissue in the sphenoid sinus had disappeared, and no accumulation of the CSF was observed. Both patients were discharged after 2 weeks. At the time of discharge, both patients were without nasal drip, fever, headache, and other discomforts, and they had
grade 5 muscle strength in their extremities, with normal muscle tension.

Conclusion:

CSF rhinorrhea is usually caused by secondary factors. Spontaneous CSF rhinorrhea
caused by encephalocele of the skull base due to congenital dysplasia of the skull base is very rare and
easily misdiagnosed. The presence of brain tissue or CSF signal in the sphenoid sinus on preoperative
MR images is an important imaging feature of the disease. Conditional cisternography can be used to
further detect CSF leaks. Endoscopic transnasal transsphenoidal repair of CSF leaks combined with
short-term postoperative lumbar subarachnoid drainage is an effective treatment method. According to
previous literature, the possible causes of meningoencephalocele with patent Sternberg’s canal of the
sphenoid sinus include abnormal development of the sphenoid sinus or the craniopharyngeal canal and
bone defects of the skull base. There are no related reports on patent meningoencephalocele caused by
Sternberg’s canal in direct blood relatives, such as mother-son; therefore, the possibility of this disease
having a genetic origin should be considered in future studies on its pathophysiological mechanisms.
Introduction Volume 10
Authors: Swerts Kas
Published: February 2023

Introduction of Volume 10 of Studies on National Movements
Tension-Filled English at the Multilingual University
Authors: Kuteeva Maria
Published: February 2023

This book explores the idea that English in the multilingual university is filled with and surrounded by tensions. Drawing on Bakhtin’s theory and examples from Sweden, it offers the reader a novel way of tracing the links between language perceptions and practices on the ground, and the forces and processes which govern these practices.
Risk Matrix of Hydrological Disasters Combining Rainfall Thresholds and Social-Environmental Criteria
Authors: Magalhães Leonardo , Peixoto Anna , Manzato Gustavo , Bezerra Barbara
Published: February 2023

This paper presents a procedure for risk assessment for hydrological disasters considering the threshold rainfall and environmental and social criteria. A case study was carried out to test its feasibility in the northern region of the State of São Paulo, Brazil. The advantage of this procedure is that it only uses data available on government institutions and websites. For this reason, other regions and countries can easily adapt the procedure to their reality. Initially, the hydrological disasters were obtained including date, type of disaster, geographical coordinates and the number of victims. Next, for each disaster, the daily rains corresponding to the dates of the events were obtained from government websites, to establish the rainfall thresholds. Social criteria weighted the poverty index, population density, and the elderly population. The Environmental criteria weighted hydrology, geomorphology and geology factors. An open-source Geographic Information System (GIS) enabled the spatial distribution of disasters through the characterization of the physical environment in hydrology, geomorphology and geology features. The risk assessment was then obtained by combining the rainfall-triggering event with the environmental Susceptibility with social vulnerability. As a result, 31 of the 138 studied municipalities suffered from hydrological disasters, accounting for 99 occurrences between 2002 and 2017.
Componente socioeconómico: sociocultural
Authors: Rúa Bustamante Clara Viviana , Valencia Juan Sebastián
Published: February 2023

En el trópico bajo se han identificado tres tipos de productores de carne ovina por medio de la metodología de diagnóstico para la tipificación de los sistemas productivos.
Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches
Authors: Ru Boshu , Kujawski Stephanie , Lee Afanador Nelson , Baumgartner Richard , Pawaskar Manjiri , Das Amar
Published: February 2023

Background

Measles, a highly contagious viral infection, is resurging in the United States, driven by international importation and declining domestic vaccination coverage. Despite this resurgence, measles outbreaks are still rare events that are difficult to predict. Improved methods to predict outbreaks at the county level would facilitate the optimal allocation of public health resources.

Objective

We aimed to validate and compare extreme gradient boosting (XGBoost) and logistic regression, 2 supervised learning approaches, to predict the US counties most likely to experience measles cases. We also aimed to assess the performance of hybrid versions of these models that incorporated additional predictors generated by 2 clustering algorithms, hierarchical density-based spatial clustering of applications with noise (HDBSCAN) and unsupervised random forest (uRF).

Methods

We constructed a supervised machine learning model based on XGBoost and unsupervised models based on HDBSCAN and uRF. The unsupervised models were used to investigate clustering patterns among counties with measles outbreaks; these clustering data were also incorporated into hybrid XGBoost models as additional input variables. The machine learning models were then compared to logistic regression models with and without input from the unsupervised models.

Results

Both HDBSCAN and uRF identified clusters that included a high percentage of counties with measles outbreaks. XGBoost and XGBoost hybrid models outperformed logistic regression and logistic regression hybrid models, with the area under the receiver operating curve values of 0.920-0.926 versus 0.900-0.908, the area under the precision-recall curve values of 0.522-0.532 versus 0.485-0.513, and F2 scores of 0.595-0.601 versus 0.385-0.426. Logistic regression or logistic regression hybrid models had higher sensitivity than XGBoost or XGBoost hybrid models (0.837-0.857 vs 0.704-0.735) but a lower positive predictive value (0.122-0.141 vs 0.340-0.367) and specificity (0.793-0.821 vs 0.952-0.958). The hybrid versions of the logistic regression and XGBoost models had slightly higher areas under the precision-recall curve, specificity, and positive predictive values than the respective models that did not include any unsupervised features.

Conclusions

XGBoost provided more accurate predictions of measles cases at the county level compared with logistic regression. The threshold of prediction in this model can be adjusted to align with each county’s resources, priorities, and risk for measles. While clustering pattern data from unsupervised machine learning approaches improved some aspects of model performance in this imbalanced data set, the optimal approach for the integration of such approaches with supervised machine learning models requires further investigation.
ChatGPT: Temptations of Progress (Preprint)
Authors: Doshi Rushabh H. , Bajaj Simar S. , Krumholz Harlan M.
Published: February 2023

UNSTRUCTURED

AI systems hold immense promise for medicine. We should certainly celebrate their possibilities and accomplishments. Nevertheless, we need to confront the challenges of mitigating potential harms, while amplifying benefits. In medicine, there are ample opportunities for harm and misinformation, so there is a need for caution. Once released, we cannot control how information from AI systems is used, but we can emphasize to users that the technology remains in an early phase of development and that answers should not be considered the same as advice from clinical experts. Moreover, there is a need for further research to understand the output of AI systems when used in response to medical questions. While these considerations are not unique to the use of AI in medicine, the potential for imminent harm to individuals makes it particularly important to carefully evaluate and manage the use of AI in this field. The release of a powerful tool such as ChatGPT will instill awe, but in medicine, it needs to elicit appropriate action to evaluate its capabilities, mitigate its harms, and facilitate its optimal use.
Enseñanza y práctica de rap en línea
Authors: Agustina Arias María
Published: February 2023

El presente artículo se propone describir y dar cuenta de la experiencia de trabajo de campo virtual que se llevó a cabo para explorar las prácticas encabezadas por la Escuela de rap, un espacio virtual para la enseñanza y el entrenamiento del rap estilo libre (freestyle) creado durante la pandemia del virus COVID 19. El diseño metodológico de esta contribución se enmarca dentro de la perspectiva etnográfica del estudio de caso concebido como caso único intrínseco (Stake, 1999). Asimismo, sigue los lineamientos cualitativos de la etnografía del habla (Hymes, 1964; Gumperz, 1982; Duranti, 2000); los estudios de Valles (1999) para el diseño de las entrevistas a profundidad (focalizadas); de Ardèvol et al. (2003) y Hine (2004) para el enfoque de la etnografía virtual, y de Ardèvol y Pink (2018) para el método de la netgrafía, empleado para el seguimiento de los/as participantes de la Escuela. En esta contribución, ofrecemos las principales consideraciones en lo relativo a la experiencia metodológica enteramente virtual y utilizada en la investigación de la enseñanza y la práctica de rap en línea.
Creencias mágicas, religiosas y motivos literarios en relatos que giran en torno al fandango
Authors: García Baeza Roberto Rivelino
Published: February 2023

En este trabajo se exponen los elementos estructurales que definen al cuento maravilloso y lo distinguen de las leyendas y anécdotas. Se señala cómo unidades de significación menores identificadas como motivos literarios no son exclusivas de los relatos de ficción, sino que se encuentran también en narraciones que tienen elementos de verdad, como es el caso de leyendas y anécdotas. De igual manera, se señala que la función de los objetos y los espacios, si bien guarda en los tres casos un significado simbólico, se altera de acuerdo con el tipo de texto en que se presente. De este modo, los motivos literarios muchas veces subyacen en creencias tanto religiosas como seculares y muestran así una relación entre las experiencias vivenciales y la literatura.
El valor de las revistas en la difusión del conocimiento
Authors: Flores Atilano Betsy
Published: February 2023

En el marco del décimo aniversario de la “Revista CuidArte”, me tomo el atrevimiento de enviar a usted el presente manuscrito con la finalidad de profundizar un poco acerca del valor que [...]
Un sucinto recorrido histórico de la revista CuidArte "El arte del cuidado"
Authors: Cuevas Guajardo Leticia
Published: February 2023

La Revista Electrónica CuidArte "El Arte del Cuidado" orgullosamente cumple 10 años de venirse publicando. Surgió, gracias a los esfuerzos de quien era el jefe de la carrera de enfermería durante el [...]
ANÁLISIS DE LA APLICACIÓN DEL CONOCIMIENTO ESTADÍSTICO EN TESIS DE ENFERMERÍA
Authors: Alonso Ricardez Abraham , Alonso Trujillo Javier , Valera Mota Myrna Miriam , Cuevas Guajardo Leticia
Published: February 2023

Introducción. Cuando una tesis es elaborada desde la perspectiva cuantitativa, requiere de la aplicación rigurosa de diversos procedimientos estadísticos, entre los que destacan los estimadores puntuales y las pruebas de hipótesis. Sin embargo, es fundamental poseer conocimiento estadístico teórico y práctico para lograr coherencia entre la pregunta de investigación, la hipótesis y los procedimientos estadísticos. Objetivo. Analizar la aplicación que se realizó del conocimiento estadístico en tesis de estudiantes graduados de la carrera de Enfermería en una institución educativa de nivel superior en México. Metodología. Se desarrolló un estudio observacional, prospectivo y transversal. Se consideró al conocimiento estadístico como variable principal la que se reporta en función de la variable de agrupación denominada niveles de investigación. Se analizó una muestra de 55 tesis recuperadas de la plataforma Tesis-UNAM. El plan de análisis estadístico incluyó reporte de proporciones de las categorías observadas. Resultados. El 56% de las tesis presentaron coherencia metodológica. Las tesis de nivel descriptivo, relacional, explicativo y predictivo correspondieron al 36.4%, 29.1%, 27.3% y 7.3% respectivamente. El 95% de las tesis tuvieron como variable principal una de tipo categórica. Se aplicaron estadísticos, estimadores puntuales y pruebas de hipótesis en todas las tesis. En la mayoría de los casos la interpretación del valor “p” fue correcta. Conclusión. Se concluye que existe un avance significativo en el desarrollo de tesis de diversos niveles de investigación, con proporciones similares de trabajos univariados, bivariados y multivariados, y lo más importante, ya se han realizado tesis de nivel predictivo, aunque todavía en baja proporción.
Autores y paratextos, dos aspectos de la Librería Colombiana como editora 1886-1900
Authors: López Arévalo Robinson
Published: February 2023

En la segunda mitad del siglo XIX, las librerías colombianas tuvieron un importante papel en el mercado del libro, primero dedicadas a las actividades de venta y luego como agentes editores. Este texto hace un recuento de la labor de la Librería Colombiana como agente editor, entre 1886 y 1900, en Bogotá. Específicamente se centra en los títulos editados, sus diferentes ediciones y el trabajo editorial, este último visto a través de los paratextos. Una segunda parte está dedicada a los autores, los temas que éstos trabajaron y su vinculación a los partidos políticos. De esta forma, se intenta entender cómo las prácticas, los contenidos y los agentes impactaron en el contexto político y económico, pero también, cómo fueron impactados por éste.
Implementation of ALU Using Modified Radix-4 Modified Booth Multiplier
Authors: Wani Towseef Ul Haq , Singh Ravinder Pal
Published: February 2023

Abstract: In this project, we propose a novel multiplier hardware design based on a radix - 4 modified booth encoder. The standard modified Booth encoding (MBE) provides an uneven partial product array due to the extra partial product bit at the least significant bit position of each partial product row. In this brief, a simple technique for constructing a regular partial product array with fewer partial product rows and low overhead is provided, reducing the complexity of partial product reduction as well as the space, time, and power of MBE multipliers. A SPST-based adder is examined and designed for the reduction of power in partial product reduction
Fabrication of Waste Cable Stripping Machine for Recycling Copper Material
Authors: S Rajamanickam , B Snegan , V Harish Kumar , V Vishwa
Published: February 2023

Abstract: With the rapid growth of civilization and the constant expansion of electrical cables, there has been an increase in the amount of used cable in recent years. But for recycling used cables, the local recyclers have not yet been reached the machine. They were mostly using open burn technology. It ended up with lot of health issues, environmental pollution, poor quality copper and others. By aiming for this, a copper cable recycling machine was built in this project to achieve a pollution-free environment for the copper recycling process, resulting in a significant increase in the creation of a healthy environment for waste copper cable recyclers at the lowest possible cost. Using AUTOCAD 2020, the conceptual design of the machine was done. The machine consists of frame, motor with adjuster, rotary V-shaped rod and rotary tool with adjuster. All the parts of the machine were collected and/or fabricated, and they were also assembled together with the help of a metal arc welding process to form the rigid structure. The result declared that the machine used stripping technology to separate the plastic and copper from the used cables.
MLOps and SecOPS Affecting Data Science
Authors: Mallela Sree Naga Raja Sekhar , Kumar Dr. C. M. Vinaya , Ganjam Satyanarayana , Mallela Sree Moukthika Kameswari , Mallela Sree Venkata Viswanadh , Somarajupalli Sarat Babu , Akshantala Subramanyam , Somarajupalli Nikhil
Published: February 2023

Abstract: MLOps (Machine Learning Operations) and SecOps (Security Operations) both play a critical role in ensuring that data is protected and used effectively in the development and deployment of machine learning models. MLOps focuses on the operational aspects of machine learning, such as model development, testing, deployment, and monitoring. It enables organizations to automate and streamline the machine learning development process, and to increase the speed, quality, and reliability of machine learning models. SecOps, on the other hand, is responsible for managing and protecting an organization's information and technology systems from cyber threats and vulnerabilities. This includes implementing and maintaining security policies and procedures, monitoring for and responding to security incidents, and performing risk assessments and vulnerability management. The goal is to ensure the confidentiality, integrity, and availability of the organization's sensitive data and systems. Both MLOps and SecOps have a direct impact on data security and quality. MLOps helps to ensure that data is properly prepared, cleaned, and managed throughout the machine learning development process. SecOps helps to ensure that data is protected and that access is properly controlled and monitored. Together, they help to ensure that data is used effectively and securely in the development and deployment of machine learning models. By combining MLOps and SecOps practices, organizations can ensure that their machine learning models are developed and deployed in a compliant, secure, and efficient manner, and that the data used in these models is protected and of high quality.
Interactive Multimedia Oriented to The Mathematical Numeracy Skills of Junior High School Students
Authors: Salsabila Nilza Humaira , Baidowi Baidowi , Azmi Syahrul , Lu'luilmaknun Ulfa
Published: February 2023

This study aims to describe the validity of multimedia developed in junior high school mathematics learning. The multimedia developed is in the form of interactive multimedia with the local context of Lombok Island. Multimedia development is oriented towards mathematical numeracy skills in the material of probability. This research is development research using a design research model by Plomp which consists of 3 stages, namely Preliminary Research, Development or Prototyping Phase, and Assessment Phase. One of the criteria for multimedia to be said to be feasible is to meet the valid criteria. This study uses a multimedia validation sheet by media experts and material experts to assess the validity of the product. The results showed that the media expert's average score was 109 with a very good classification and the material expert's average score was 80 with a very good classification. So it can be concluded that the developed multimedia meets the valid criteria.
educación financiera a la luz de la economía del comportamiento
Authors: Ramos Zaga Fernando Antonio
Published: February 2023

La crisis financiera de 2008 desvirtuó la capacidad de autorregulación de los mercados y la capacidad de decisión de los agentes económicos. Por tanto, se reconoció que era necesario reforzar la supervisión y la regulación del sector financiero. En ese sentido, la educación financiera ha recibido una mayor atención, debido a que es esencial proteger a los consumidores de servicios financieros. Bajo ese contexto, en el presente artículo se examina de manera crítica los programas de educación financiera debido a los problemas inherentes en la toma de decisiones financieras, pues el éxito de estas iniciativas se ve gravemente afectado por los hallazgos de la economía del comportamiento y el impacto del contexto socioeconómico en la situación financiera del hogar. Finalmente, se plantean las conclusiones a fin de ser consideradas en futuros estudios.
Design of a static output feedback h-infinity controller for linear uncertain discrete time systems
Authors: Parlakci Alpaslan
Published: February 2023

This paper considers the synthesis of a static output feedback
H-infinity controller for linear discrete-time systems subject to
polytopic uncertainties and external disturbances. Based on the
selection of parameter-dependent Lyapunov function and the use of a
bounding matrix inequality followed by a congruent transformation, a set
of sufficient bilinear matrix inequality conditions is obtained.
Employing the well known cone complementarity technique, the nonconvex
optimization problem is converted into a convex minimization one
formulated with linear matrix inequality (LMI) conditions. Several
numerical examples are presented to show that the proposed method yields
less conservative disturbance attenuation rates than those reported in
the literature.
Several novel inequalities associated with the Riesz-type fractional integral operator
Authors: Geng Lu-Lu , Yang Xiao-Jun
Published: February 2023

In this paper, we investigate some new inequalities based on the
Riesz-type fractional integral operator for synchronous and bounded
functions.
Point-pattern analysis reveals density-dependent processes that influence structure of Juniperus virginiana L. stands
Authors: Bennion Leland , Ward David
Published: February 2023

This research aims to identify the processes that influence the
structure of eastern redcedar (Juniperus virginiana L.) stands across a
range of size classes and in stands that are co-dominated by deciduous
species. The trend of eastern redcedar encroachment into prairies and
old fields in North America is well-documented; but the mechanisms that
shape the distribution of con- and heterospecific trees within stands
are poorly understood. Eastern redcedar stands representing a variety of
size classes were sampled in the Midwest to examine how stand-shaping
processes vary with stand age. Additionally, mature eastern redcedar
stands where Quercus spp. are codominant were sampled to evaluate how
competitive interactions influence stand structure. Point-pattern
analyses were conducted to detect signals of underlying point-processes.
We found several signals of density-dependent growth including evidence
of self-thinning and regular-spacing between mature individuals. We
found segregation within and between mature eastern redcedar and Quercus
spp., indicating competitive partitioning of space. These findings
indicate density-dependent intra- and interspecific competition are the
most important process influencing the structure of eastern redcedar
stands in its encroaching range.
Narcolepsy Following COVID-19: A Case Report and Review of Potential Mechanisms
Authors: Yazdani Roya , Barzkar Farzaneh , Almasi-Dooghaee Mostafa , Shojaie Mahsa , Zamani Babak
Published: February 2023

The patient is a 33-year-old Iranian woman without a significant past
medical history with the full range of narcolepsy symptoms that started
within two weeks after her recovery from COVID-19. Sleep studies
revealed increased sleep latency and three sleep-onset rapid eye
movement events, compatible with a narcolepsy-cataplexy diagnosis.
Effect and safety of mesenchymal stem cells for patients with COVID-19: systematic review and meta-analysis with trial sequential analysis
Authors: Zhaohui Tong , Zhang Zhijing , Shao Shuai , Liu Xuefeng
Published: February 2023

Purpose: The objective of this study was to assess whether
mesenchymal stem cells (MSCs) therapy could offer survival advantages
for patients with novel coronavirus disease 2019 (COVID-19).
Methods: An electronic search of PubMed, Embase, Cochrane
Library, Web of Science, WanFang and CNKI was performed from December
1st, 2019 to December 25th, 2022. We included studies recruiting
patients with COVID-19 and treated with MSCs. Data were independently
extracted by two reviewers and synthesized with a random-effect analysis
model. The primary outcome was all-cause mortality. Secondary outcomes
included symptom remission rate, time to symptom remission, length of
hospital stay (LOS), requirement of oxygen therapy, requirement of
non-invasive ventilation (NIV), requirement of invasive mechanical
ventilation (IMV), days of MV, peripheral arterial haemoglobin oxygen
saturation (SpaO ), biomarkers of inflammatory
dysregulation and pulmonary imaging changes. Safety outcomes included
the incidence of all adverse events (AEs) and serious adverse events
(sAEs). Trial sequential analysis (TSA) was conducted in this meta
analysis. Besides, subgroup analysis and meta-regression was performed
using a random-effects model to find the potential sources of
heterogeneity. Results: Sixteen randomized controlled trials
(RCTs) involving a total of 1053 patients with COVID-19 were included in
this study. Compared with the control group, patients in the MSCs groups
were associated with significantly reduced all-cause mortality (MSCs
18.1% vs control 24.9%; risk ratio [RR] 0.74; 95% confidence
interval [CI] 0.60-0.92; p = 0.007; I² = 1%). For all secondary
outcomes, there wasn’t significant improvement in the experimental group
versus the control group regarding symptom remission rate (52.7%,
194/368 vs 46.6%, 160/343; RR 1.13; 95% CI 0.99-1.30; p = 0.07, I² =
43%), but the pooled analysis revealed significant differences between
the groups in LOS (MD: -3.91, 95% CI: -5.97 to -1.84; P = 0.0002; I
= 0%), requirement of IMV ( RR 0.52; 95%CI
0.33-0.82; p = 0.005; I = 0%) and post-CRP level
(MD: -31.38; 95% CI -47.23 to -15.54; p=0.0001). Moreover, regarding
the incidence of AEs (RR 0.73; 95% CI 0.35-1.52; p = 0.39; I² = 44%)
and sAEs (RR 0.87; 95% CI 0.40-1.92; p= 0.73; I² = 39%), no
significant differences were observed between MSCs and control groups.
The TSA analysis showed that the result of all-cause mortality might be
false-positive result. Conclusions: Based on the pooled results
in this study, MSCs therapy may reduce all-cause mortality with no
increase risk of AEs and sAEs, but may not improve symptom remission
rate. Further more high-quality and large-sample RCTs should be
performed to confirm these findings.
Ethnoracial Group Differences in the Effects of Rumination on Psychological Well-being
Authors: Xu Yikai , Tsai William
Published: February 2023

Background: Is rumination always associated with poorer mental
health? Although some work suggests that the answer to this question is
“yes”, some studies suggest that there are adaptive and maladaptive
types of rumination that have distinct influences on mental health.
Moreover, a growing number of studies have now shown rumination to have
weaker maladaptive effects among individuals from interdependent
cultural contexts (e.g., Asian Americans). The current study examined
ethnoracial group differences in the use and associations of rumination
types (i.e., brooding, casual analysis, reflective pondering, and
problem-solving analysis) with depressive symptoms and life satisfaction
among a diverse sample of Asian Americans, Latinx Americans, and
European Americans. Methods: 198 Asian Americans, 168 Latinx
Americans, and 235 European Americans recruited from Amazon Mechanical
Turk completed an online cross-sectional survey. Results:
Controlling for other rumination types, brooding emerged as a
maladaptive type of rumination with strong associations with greater
depressive symptoms and lower life satisfaction among all ethnoracial
groups. In contrast, problem-solving analysis emerged as an adaptive
type of rumination with associations with lower depressive symptoms and
greater life satisfaction among Asian and Latinx Americans only, whereas
this relationship was not significant among European Americans.
Discussion: Findings suggest the importance of considering
culture in distinguishing between adaptive versus maladaptive types of
rumination. The strength of the association of rumination types with
psychological well-being varied by ethnoracial group in theoretically
expected ways. Implications for culturally sensitive interventions are
discussed.
Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna
Authors: Čuda Jan
Published: February 2023

How grazing interacts with environmental conditions in determining grass
species richness and abundance in savanna is still insufficiently
understood. Quantifying the impact of herbivores on ecosystems can
provide some insights into these relationships. In Kruger National Park,
South-Africa, we recorded grass species and estimated their covers in 60
plots 50 × 50 m in size, selected to account for varying proximity to
water and nutrient availability. Thus, we located plots (i) near
perennial rivers, near seasonal rivers, and on crests that are distant
from all waterbodies, and (ii) on nutrient-rich basaltic and
nutrient-poor granitic bedrock. The presence and abundance of large
herbivores was recorded by 60 camera traps located in the same plots.
Grass cover decreased significantly with herbivore abundance and
differed between habitats and bedrock types, with plots at crests
showing the highest cover and plots near perennial rivers the lowest
grass cover; on basalts grasses reached higher cover than on granites.
The relationship between herbivore abundance and grass species richness
changed with the type of bedrock; it was positive on basalts but
negative at granite plots. Similarly, the relationship between herbivore
species richness and grass species richness was positive on crests and
on basalts, but negative near seasonal rivers and on granites; near
perennial rivers the relationship was non-significant. We suggest that
the positive relationship between herbivore richness or abundance and
grass species richness, which is more pronounced on basalts, is due to
herbivores supressing dominant grass species. This may increase
microsite heterogeneity and therefore support grass species richness. In
contrast, the decrease in grass species richness with herbivore species
richness at seasonal rivers indicates that the high impact over-rides
the resistance of some species to grazing and trampling.
A Low Power-Area Low Pass G m -C Filter in Biomedical Analog Front End for Biosignal Acquisition
Authors: Vafaei Mehrnoosh , Parhizgar Ali , Abiri Ebrahim , Salehi Mohammad Reza
Published: February 2023

In this paper, a low power transconductor-capacitor (Gm-C) filter with
programmable cutoff frequency is designed for electroencephalogram
(EEG), electrocardiogram (ECG), and surface electromyography (sEMG)
biosignals. The second order Butterworth low pass filter (LPF) is
designed as an interface between an instrumentation amplifier (IA) and
analog to digital converter (ADC). The proposed Gm-C filter suppresses
out of band components and also plays anti-aliasing role. With the
variable transconductance based on flipped voltage follower (FVF), the
cutoff frequencies of 100 Hz, 560 Hz, and 1.5 kHz are obtained for EEG,
ECG, and sEMG, respectively. This structure has highly accurate by using
a robust and low power common mode feedback (CMFB). With 0.8 V supply
voltage, the total power consumption of the filter is only 56 nW, 100
nW, and 221 nW for cutoff frequencies of 100 Hz, 560 Hz, and 1.5 kHz,
respectively. The proposed Gm-C filter is simulated in TSMC 65 nm CMOS
technology and occupies an area of 0.12 mm2. The figure of merit (FOM)
of the proposed filter is equal to 1.9 pW/pole.