bluuebunny/crossref_metadata_2025 huggingface dataset:
Medicinal Plants as Natural Anti-Parasitic Agents Against Blastocystis Species
Authors: Mostafa El-Sayed Nagwa , Gamal Masoud Nagham
Published: November 2022

Background:

Blastocystis species (sp.) are enteric parasites that live in both humans' and animals' gastrointestinal tracts. Blastocystis hominis (B. hominis) is the recognizable human isolates in clinical and diagnostic specimens. Human infection occurs via the oro-fecal route, particularly in developing areas due to the lack of sanitation and hygienic facilities. B. hominis can exist in the large intestine for weeks to years until treated appropriately. Metronidazole is the drug of choice for the treatment of Blastocystis infection. However, it induces intolerable side effects and has been shown to have teratogenic and carcinogenic potential. Several medicinal plant extracts have been experimentally tested against Blastocystis infection in comparison to currently available treatments.

Objective:

Based on in vitro and in vivo studies, this article reviewed anti-Blastocystis activity of some medicinal plants.

Method:

To conduct the research for this review, Google Scholar and PubMed were the primary search engines used to find relevant literature. A total of 19 published in vitro and in vivo studies were evaluated to identify the anti-Blastocystis effects of various medicinal plants

Results:

Multiplication of Blastocystis parasites as well as nucleic acids and protein synthesis, all be inhibited by extracts from different medicinal plants. These natural agents have been shown to be both safe and effective when compared to the existing treatment options.

Conclusion:

Different medicinal plants can combat Blastocystis infection and could be a good substitute for metronidazole and other synthetic treatments.
Extensive Multiple 2D-/3D-QSAR Modeling, Molecular Docking
and Pharmacophoric Approaches for Piperazinylquinoline Derivatives
as Respiratory Syncytial Virus Fusion Inhibitors
Authors: Purohit Vipul P. , Thorat Bapu R. , Mali Suraj N. , Wagh Rahul R. , Yamgar Ramesh S.
Published: November 2022

Background:

The human respiratory syncytial virus (RSV) is responsible for
causing upper and lower respiratory tract infections in young children. RSV Fusion (F)
protein is a surface glycoprotein that facilitates virus entry into host cells. Thus, newer
designing of RSV Fusion (F) protein inhibitors is required on an urgent basis.

Methods:

In the present study, we have developed statistically robust.
Quantitative structure-activity relationship (QSAR) models for the effective designing
of newer analogues of piperazinylquinoline derivatives (H1-H12).

Results:

Our developed models were retained with high statistical parameters (R2 > 0.6
and Q2 > 0.5). Our developed pharmacophore, model (AADHRR_2) (indicating that two
hydrogen bond acceptors, one hydrogen bond donor, one hydrophobic group, and two
aromatic rings) is crucial for retaining the activities of piperazinylquinoline derivatives
against RSV. Moreover, docking analysis of 12 new analogues on RSV pre-F in complex
with 5C4 Fab (PDB ID: 5W23) and post-F trimeric protein (PDB ID: 3RRR) suggested
higher affinities of these molecules against studied targets with good docking
scores.

Conclusion:

Thus, one can implement developed QSAR models, docking analogy and
Pharmacophore models for identifications of potent leads for designed molecules as
RSV Fusion (F) protein inhibitors.
An Empirical View of Genetic Machine Learning based on Evolutionary Learning Computations
Authors: Chandraprabha M. , Kumar Dhanaraj Rajesh
Published: November 2022

The only prerequisite in the past era was human intelligence, but today's
world is full of artificial intelligence and its obstacles, which must still be overcome. It
could be said that anything from cars to household items must be artificially intelligent.
Everyone needs smartphones, vehicles, and machines. Some kind of intelligence is
required by all at all times. Since computers have become such an integral part of our
lives, it has become essential to develop new methods of human-computer interaction.
Finding an intelligent way of machine and user interaction is one of the most crucial
steps in meeting the requirement. The motivations for developing artificial intelligence
and artificial life can be traced back to the dawn of the computer era. As always,
evolution is a case of shifting phenomena. Adaptive computer systems are explicitly
designed to search for problem-specific solutions in the face of changing
circumstances. It has been said before that evolution is a massively parallel quest
method that never works on a single species or a single solution at any given time.
Many organisms are subjected to experiments and modifications. As a result, this
write-up aims to create Artificial Intelligence, superior to machine learning that can
master these problems, ranging from traditional methods of automatic reasoning to
interaction strategies with evolutionary algorithms. The result is evaluated with a piece
of code for predicting optimal test value after learning.
Artificial Intelligence and Covid-19: A Practical Approach
Authors: Alimul Haque Md. , Haque Shameemul , Alhazmi Samah , Pandit D.N.
Published: November 2022

An unprecedented outbreak of unknown aetiology pneumonia occurred in Wuhan of Hubei, China, in December 2019. The WHO reported a novel coronavirus causative agent outbreak with limited evidence of COVID-19. SARS-CoV-2 embodies the ssRNA genome containing 29891 nucleotides to encode 9860 amino acids and shows different types of mutations, such as D614G. The epidemic of this virus officially declared an emergency of International Concern by the WHO in January 2020. In the first week of April 2021, a new strain of coronavirus named N-440 was reported in Chandigarh, India. The number of cases of laboratory-confirmed coronavirus has risen at an unprecedented pace worldwide, with more than 132,573,231 cases currently confirmed, including 2,876,411 deaths as of April 06th 2021. The lack of funding to survive the epidemic of this virus, coupled with the concern of overloaded healthcare systems, has driven a lot of countries into a partial/total lockout situation. This epidemic has caused chaos, and a rapid therapy of the disease would be a therapeutic medication with experience of use in patients to overcome the current pandemic. In the recent global emergency, researchers, clinicians and public health care experts around the world continue to search for emerging technologies to help tackle the pandemic of this virus. In this chapter, we rely on numerous reputable sources to provide a detailed analysis of all the main pandemic relevant aspects. This research illustrates not only the immediate safety effects connected with the COVID-19 epidemic but also its impact on the global socioeconomy, education, social life and employment. Artificial Intelligence (AI) plays a significant supporting capacity in countering COVID-19 and may prompt arrangements quicker than we can, in any case, achieve in different zones and applications. With technological developments in AI combined with improved computing capacity, the repurposing of AI-enhanced medications may be useful in the cases of this virus. Artificial intelligence has gotten one of those advances which can undoubtedly distin- guish the transmission of this virus; exceptionally hazardous victims are recognized and are significant for constant control of that contamination. Artificial intelligence could genuinely assist us in battling against this infection through network testing, clinical administrations and advice on controlling diseases. This chapter addresses recent applications of AI in fighting the pandemics of this virus, e.g., monitoring of the epidemic, forecast of hazards, screening and diagnosis, improvement of medical treatment, fake news breaks, strengthening lockdowns, preventing cyber-attacks and finally, effective online education. This chapter will provide a clear definition and general understanding of the field of this virus pandemic and the role of AI to readers and researchers.
Jurisdiction and Security
Authors: Gibbs Van Brunschot Erin
Published: November 2022

On June 16, 2022, the Canadian Association for Security and Intelligence Studies (CASIS)-Vancouver hosted a Digital Roundtable titled Jurisdiction and Security, conducted by Dr. Erin Gibbs Van Brunschot, a Professor of Sociology and the Director of the Centre for Military, Security and Strategic Studies (CMSS) at the University of Calgary. The presentation was followed by a question-and-answer period with questions from the audience and CASIS-Vancouver executives. The discussion topics centred around the jurisdictional challenges that limit security responses to Canadian national security threats and how security networks must be established to tackle these evolving threats.
Risks of the Metaverse: A VRChat Study Case
Authors: Ortiz Laura
Published: November 2022

This paper examines the potential social risks of the metaverse. Previous research has found that video games, including Virtual Reality (VR) ones, can be associated with violence normalization and objectification of women. Moreover, some studies have suggested that gaming platforms even serve as tools for extremist groups to recruit and radicalize vulnerable people. Nonetheless, these risks have not been further studied in the context of the metaverse. This research analyzed relevant cases from different gaming platforms including Meta Horizon Worlds. Moreover, the game VRChat was studied due to the similarities it has with the metaverse in terms of design and features. An evaluation of VRChat's user experience was carried out through an analysis of its most popular reviews. Though no signs of radicalization were found, an important number of these reviews expressed sentiments such as loneliness and depression, which make people more vulnerable to be radicalized. Additionally, a tendency for online harassment and sexual deviance was found in the game since 2018 and remained persistent to date. For further insight into the sexual misconduct findings, an interview was conducted with psychiatrist and sexuality expert, Dr. Zenteno. This research found that the game developers of VRChat have not done enough to address sexual misconduct effectively and protect its most vulnerable users. This research concluded that due to the lack of incentives that game developers have to regulate their platforms themselves for social good, further intervention of all the stakeholders involved is needed. This includes policymakers, parents, legal guardians, and educators.
Fabrication of Perovskite Solar Cells by the Smart Stacking Process
Authors: Pylnev Mikhail , Al-Alawadhi Hussain , Tabet Nouar
Published: November 2022

The most commonly used process for fabricating perovskite solar cells is based on wet chemistry, which greatly limits the choice of materials suitable for optimizing the performance of the device. We developed a new approach for the fabrication of perovskite-based solar cells. In the smart stacking process, the perovskite solar cell was assembled by stacking two pieces of perovskite films prepared separately. A working perovskite solar cell was developed with PCE = 0.78% and the perovskite layer was analyzed with XRD and SEM. Our findings showed new ways to address some of the major fabrication challenges associated with the commercialization of perovskite solar cells.
The Effect of Irradiation on the Skin upon Breast Cancer Radiotherapy Studied by FTIR Spectroscopy
Authors: Markouizou Athina , Michali Evrydiki , Mamareli Christina , Anastassopoulou Jane , Kolovou Panayiota , Mamarelis Ioannis , Theophanides Theophile
Published: November 2022

Breast cancer affects the female population worldwide. Radiotherapy (RT) is part of the therapeutic modality in the management of breast cancer, after radical mastectomy or conserving surgery. The FTIR spectroscopic “marker bands” will lead us to approach the mechanism of skin damage due to the interaction of ionizing radiation and skin, on a molecular level at the very early stages. FT-IR spectroscopy, breast digital pictures, and ImageJ software were used in the study. Healthy breast skin was irradiated ex-vivo with a 4 Gy dose of a γ-60Co course Gammachamber 4000A. The FT-IR spectra showed that the low-dose irradiation induces skin dehydration, collagen secondary structure changes and advanced glycation end products (AGEs) as a result of free radicals as mediated products. The infrared “marker bands” at about 1743, 1160, and 870 cm-1 are characteristic, indicating the development of inflammation, glycations, and peroxidations respectively, due to ionizing radiation-induced oxidative stress. ImageJ analysis provided the sharp surface of the skin after RT irradiation in contrast to the smooth surface of the non-irradiated healthy skin. The most important damages, induced by radiotherapy, were connective tissue lesions, glycosylation, and phosphorylation processes in the skin. The reactive oxygen species (ROS) free radicals prefer to abstract H atoms from lipids, sugar rings of glycoproteins, and base ribose of DNA. The produced intermediate free radicals, as a result of ROS reactions, led to the formation of AGEs and peroxides.
Kurdish Speech to Text Recognition System Based on Deep Convolutional-recurrent Neural Networks
Authors: Hussein Lana Sardar , Mahmood Sozan Abdulla
Published: November 2022

In recent years, deep learning has had enormous success in speech recognition and natural language processing. In other languages, recent progress in speech recognition has been quite promising, but the Kurdish language has not seen comparable development. There are extremely few research papers on Kurdish speech recognition. In this paper, investigated Gated Recurrent Units (GRUs) which is one of the popular RNN models to recognize individual Kurdish words, and propose a very simplified deep-learning architecture to get more efficient and high accuracy model. The proposed model consists of a combination of CNN and GRU layers. The Kurdish Sorani Speech KSS dataset was created for the speech recognition system, as its 18799 sound files for 500 formal Kurdish words. Finally, the model proposed was trained with collected data and yielded over %96 accuracy. The combination of CNN an RNN (GURs) for speech recognition achieved superior performance compared to the other feed-forward deep neural network models and other statistical methods.
Investigating the Effects of Hyperbaric Oxygen Treatment in Necrotizing Soft Tissue Infection With Transcriptomics and Machine Learning (the HBOmic Study): Protocol for a Prospective Cohort Study With Data Validation
Authors: Vinkel Julie , Rib Leonor , Buil Alfonso , Hedetoft Morten , Hyldegaard Ole
Published: November 2022

Background

Necrotizing soft tissue infections (NSTIs) are complex multifactorial diseases characterized by rapid bacterial proliferation and progressive tissue death. Treatment is multidisciplinary, including surgery, broad-spectrum antibiotics, and intensive care; adjunctive treatment with hyperbaric oxygen (HBO2) may also be applied. Recent advances in molecular technology and biological computation have given rise to new approaches to infectious diseases based on identifying target groups defined by activated pathophysiological mechanisms.

Objective

We aim to capture NSTI disease signatures and mechanisms and responses to treatment in patients that receive the highest standard of care; therefore, we set out to investigate genome-wide transcriptional responses to HBO2 treatment during NSTI in the host and bacteria.

Methods

The Effects of Hyperbaric Oxygen Treatment Studied with Omics (HBOmic) study is a prospective cohort study including 95 patients admitted for NSTI at the intensive care unit of Copenhagen University Hospital (Rigshospitalet), Denmark, between January 2013 and June 2017. All participants were treated according to a local protocol for management of NSTI, and biological samples were obtained and stored according to a standard operational procedure. In the proposed study, we will generate genome-wide expression profiles of whole-blood samples and samples of infected tissue taken before and after HBO2 treatment administered during the initial acute phase of infection, and we will analyze the profiles with unsupervised hierarchical clustering and machine learning. Differential gene expression will be compared in samples taken before and after HBO2 treatment (N=85), and integration of profiles from blood and tissue samples will be performed. Furthermore, findings will be compared to NSTI patients who did not receive HBO2 treatment (N=10). Transcriptomic data will be integrated with clinical data to investigate associations and predictors.

Results

The first participant was enrolled on July 27, 2021, and data analysis is expected to begin during autumn 2022, with publication of results immediately thereafter.

Conclusions

The HBOmic study will provide new insights into personalized patient management in NSTIs.

Trial Registration

ClinicalTrials.gov NCT01790698; https://clinicaltrials.gov/ct2/show/NCT01790698

International Registered Report Identifier (IRRID)

DERR1-10.2196/39252
Using A Consolidated Framework Based on MEC Theory to Investigate Online Medicine Purchasing Under the COVID-19 Epidemic: Cross-Sectional Questionnaire Study (Preprint)
Authors: Wang Panpan , Gu Hailian , Chen Xiayu
Published: November 2022

BACKGROUND

The ongoing impact of the COVID-19 epidemic has further increased the scale of online medical transactions. It is an important issue to identify the facilitators and barriers of consumers’ online medicine purchasing to promote online medical transactions and the long-term development of medical e-commerce under the COVID-19 epidemic. However, there is a dearth of knowledge about the influencing factors of online medicine purchasing under the COVID-19 epidemic.

OBJECTIVE

Therefore, this study aimed to investigate the drivers and barriers of consumers’ online medicine purchasing on medical e-commerce platforms under the COVID-19 epidemic by employing MEC theory.

METHODS

An empirical study with a proposed research model that consisted of 3 independent variables (product quality, service quality, system quality), 2 mediators (perceived value and risk perception of medical e-commerce platform), 1 dependent variable (online medicine purchasing), and 4 control variables (age, gender, income, and education) was conducted. Multi-item scales adopted from well-established research were used to measure the variables. An online survey involving 530 participants was conducted among medical e-commerce users in March 2022 to collect data. (PLS)-SEM method was adopted to validate the hypotheses.

RESULTS

The response rate was 79.1% (419/530). Reliability and validity of measurement model were acceptable. System quality showed the strongest positive impact on perceived value of medical e-commerce platform and negative impact on risk perception of medical e-commerce platform among three qualities. Perceived value was positively associated with online medicine purchasing. Consumers’ personal health literacy and risk perception of COVID-19 epidemic also had a positive impact on online medicine purchasing.

CONCLUSIONS

This study identified potential factors that affect online medicine purchase decision-making from the perspectives of individual, platform and situation based on the MEC (Mean-end-chain) theory and consumer decision-making process. Results indicate that perceived quality, perceived value, personal health literacy and risk perception of epidemic were significantly associated with consumers’ online medicine purchasing. Our study contributes to the underlying mechanism of online medicine purchasing behavior in the context of COVID-19 epidemic and provides practical implications for medical e-commerce platforms.
Research on central fatigue during exercise from 2011 to 2022: A review and bibliometric analysis (Preprint)
Authors: jin jie , Gao Binghong , Zhang Zheng
Published: November 2022

BACKGROUND

Central fatigue expresses as a progressive reduction in voluntary activation or neural drive to the muscle, belong to muscle fatigue, which is due to failure of the central nervous system to excite or drive motoneurons adequately.

OBJECTIVE

This study aims to conduct a bibliometric analysis of the field, a detailed review of the current research by CiteSpace and Vos Viewer software.

METHODS

We retrieved the Web of Science Core Collection database from January 1, 2011 to December 31, 2022 about central exercise fatigue related publications. Adopting the method of bibliometric analysis, we tracked research trends and research hotpots currently.

RESULTS

Through carding the research of central fatigue in neuroscience and pharmacology, a total of 451 central exercise fatigue were published in the past 11 years. France and USA as the most common country of origin. Only 12 organizations issued more than 10 relevant publications. The author with the highest publication volume is Amann European journal of applied physiology published the greatest number of articles. Based on the reference co-citation analysis, a total of 7 major clusters for predominant research topics summarized by clustering high-frequency keywords were explored: supplementation, knee extensors, locomotor exercise, central nervous system, heat stress and transcranial magnetic stimulation.

CONCLUSIONS

We provide a relatively systematic and objective review of the current state of research and important arguments on central exercise fatigue, and finds that hotspots research is focused on four areas: knee extensors, locomotor exercise, heat stress and gender. Furthermore, supplements, the central nervous system and transcranial magnetic stimulation are at the frontier of research. This study provides researchers with valuable guidance in the selection of research topics.
Jumlah Bintil Fase Vegetatif Penentu Mutu dan Hasil Kacang Hijau (Vigna radiata L.) di Lahan Sawah Bekas Padi
Authors: Sari Triana , Taryono Taryono
Published: November 2022

Mungbean is one of leguminosae, that has profitable prospect therefore it has been cultivated by Indonesian society. Mungbean showed early maturity, easy management during cultivation and can produce more biomass, about 11.00-12.00 t/ ha. Wwhen the crop residue is left in field, it benefits of increasing the nutrients and improving soil fertility. Such reason makes mungbean becomes more profitable than soybean and peanut. The mungbean genetic   material is significant to develop superior mungbean and support sustainable agriculture. This research was conducted to study the presence of rhizobium after continues rice grwon fields, to determine the bean accession responsive to Rhizobium sp., and to determine the impact of Rhizobium sp. on the mungbean yields components. This research was conducted at Agrotechnology Innovation Centre of Universitas Gadjah Mada (PIAT UGM) Kalitirto, Berbah, Sleman, Yogyakarta in splitted completely randomized design (CRD) with two factors. The main factor is inoculation treatment and the sub-factor is 18 mung beans accessions. Observations included rhizobium infection, nodule components, fresh weight of plant, dry weight of plant and yield components. The data obtained was further analyzed using analysis variance of completely randomized design, a further test of Scott Knott, and correlation analysis. All accessions can be infected by rhizobium and there was an increase in number of nodules and the effective number of nodules in each observation time with the result that inoculation treatment was superior to the one without inoculation. Number of nodules at time of observations have positive corellation with yield component, increased number of nodules followed increased variable of yield component.
Pengembangan Kacang Hijau Organik Sebagai Komoditas Pangan Indonesia
Authors: Fitriani Riska Sekar , Taryono Taryono
Published: November 2022

Mungbean (Vigna radiata L.) is an important legume crops in Indonesia, because it can support food diversity, eventhough the production is lower than the demand. Mungbean can be used for different purposes such as vegetables and meals, therefore good agricultural practices in this case organic farming must be introduced, Organic farming practice by the application of organic mulch can improve the mungbean growth. The use of organic fertilizer which is one of important input in organic farming can increase the mungbean productivity. National mungbean production can be increased by the application of organic fertilizer and the introduction of organic farming in mungbean cultivation can produce more healthy nutritious food materials.
Perkecambahan Polen Bunga Jengger Ayam (Celosia argantea)
Authors: Azka Nafila Alifia
Published: November 2022

Celosia cristata is one of specialty cut flowers category. Celosia cristata has leaf color, leaf shape and stem color diversity. The diversity in Celosia cristata has attracted the attention of breeders to develop new varieties of this commodity by means of hybridization. Therefore, before the hybridization of Celosia cristata is being conducted, it is necessary to study the estimated time required for pollen to reach the embryo sac and fertilization occurs to ensure the probability of successful hybridization in plant breeding program. Pollen germination in this study was carried out by in vitro method using pollen germination media consisting of 12 grams of sucrose, 0.01 grams of H3BO3, 100 ml of distilled water, and 0.1 M HCl or 0.1 M NaOH (to maintain the pH of the media at pH 6.4). The germinated pollen was observed with a microscope until the germination reed reached its maximum length, then the length of the germination reed was measured. The measured growth of germination reeds was then compared with the length of the distance from the stigma to the embryo sac. After that, the estimated time required from pollination to fertilization was being predicted. Based on the results of the study, the estimated time needed by Celosia cristata from pollination (pollen fall to the stigma) to fertilization (fusion between male and female gamete cells) was 131.9 minutes.
Evaluación de la calidad en champú comercial no medicado para perros en la Ciudad de México
Authors: Peña-Corona Sheila Irais , Juárez-Rodríguez Ivan , Vargas-Estrada Dinorah , Arvizu Tovar Laura Olivia , Amador-González Enrique , Soberanis Ramos Orbelín
Published: November 2022

El objetivo del trabajo fue realizar un análisis de descriptivo de la calidad del champú para uso en perros que se comercializa en la Ciudad de México. Hasta la fecha, se carece de información al respecto, lo cual es importante para facilitar la selección y recomendación de estos productos por profesionistas de la veterinaria. Se estudiaron productos de 20 marcas comerciales, a los cuales se les realizaron pruebas fisicoquímicas, sensoriales y de desempeño, además de evaluar el contenido de sus etiquetas. El pH del champú varió entre 5.6 y 8.4; la viscosidad, entre 1 131 y 3 102 m P a - s; la densidad relativa, entre 1.002 y 1.099 g/mL y el índice de espuma entre 2.9 y 4.0 min. El 95 % de los champús formaron espuma cerrada, mientras que entre el 10 y el 35 % de las marcas presentaron deficiencias en el etiquetado. En general, las propiedades físico-químicas y sensoriales de las marcas de champú bajo estudio se encuentran dentro de los límites aceptables para la línea de uso en humanos. No obstante, la falta de consistencia en el etiquetado sugiere que es necesario mejorar la supervisión de la normatividad aplicable para proteger la salud animal y pública.
Implementation of Just-In-Time approach in Construction Project (A Review Paper)
Authors: Dharmadhikari Shubham , Payghan Prof. V
Published: November 2022

Abstract: Indian development environment has changed radically over the span of final three decades. All the divisions in development industry ought to adapt up with the alter happening within the industry over time. Stock administration points at optimization of stock speculation to guarantee expanded productivity inside the development process. In our conventional framework, tragically, stock plays a part of resource while it is most costly risk. Medium and little scale organizations have a difficult time due to inaccessibility of software’s like Endeavor asset arranging. It is important to bring modern hones into usage so as to remain lively within the competition. Fair in Time procedure (JIT) is one such activity that can improve stock administration without expansive investments. JIT is a lean concept which increases efficiency and decreases waste by receiving raw materials only as needed for production process thus reducing inventory cost. It is best suited to small and large scale projects as it does not require major financial investment. This project covers a case study where the proposed system is implemented and compared with conventional approach of inventory management on a Residential building to demonstrate the usefulness of JIT in terms of cost, and to increase its base of application in Indian construction industry. The conventional material procurement procedure will be studied thoroughly and the JIT philosophy will be used to reduce the cost of project efficiently. This paper will take review about past research made in JIT and focus on feature work can be implemented through JIT in construction sector
The environmental attitude of the prospective biology teachers in Indonesia
Authors: Rahardjanto Abdulkadir , Husamah H. , Hadi Samsun , Lestari Nurdiyah , Fatmawati Diani
Published: November 2022

Environmental attitude should be possessed by students as an effort to manage their relationship with environmental problems. However, there has never been any study on the environmental attitudes of prospective biology teachers in Indonesia. This study aims to discover the environmental attitude of the prospective science teachers throughout Indonesia. This cross-sectional survey study analyzes the aspects of gender, grade point average (GPA), college status, and study status which are positioned as the character of the respondent whose impact on the students’ environmental attitudes are analyzed in this study. The target population size of this study is 1300 people. Thus, based on Krejcie and Morgan Table, the minimum sample size with a confidence level of 95% and margin error of 5% is 1235 students. The data collection instrument used in this study is the Environmental Attitude Inventory/EAI questionnaire which has been validated by bilingual experts and transformed into an online questionnaire by means of Google Form. SPSS software was used to examine the data. The results indicate that there is no significant difference in EA scores based on gender, GPA factor, and university status background. The difference in EA scores is affected by whether or not students have taken courses related to the environment ownership. The researchers believe that it is critical to ensure that the course materials concerning environmental education are properly planned and implemented. Courses should be supplemented with themes on environmental issues ranging from local to global scope.
Divulgação científica no período colonial brasileiro: as cartas jesuíticas
Authors: Fioravanti Carlos
Published: November 2022

Este artigo situa as cartas jesuíticas entre os primeiros documentos produzidos no período colonial brasileiro com descrições de plantas, animais e povos nativos. A partir de 1549, Manoel da Nóbrega, José de Anchieta e outros jesuítas fizeram relatos do Novo Mundo em linguagem simples, ainda que imbuídos de uma visão aristotélica da natureza e de um olhar de superioridade para com os povos nativos. Traduzidas em outros idiomas e reenviadas para as comunidades de jesuítas ao redor do mundo, as cartas foram reunidas em livros publicados em Lisboa a partir de1735 e no Rio de Janeiro, de 1886.
Da notícia institucional à divulgação científica: a trajetória do Jornal UFG em 16 anos de existência
Authors: Fernandes Neves Luiz Felipe , Stecca Kharen , Coleta Santos Pereira Silvana
Published: November 2022

Neste artigo, realizamos um estudo de caso do Jornal UFG — veículo de comunicação da Universidade Federal de Goiás –, por meio da análise de seis edições publicadas entre 2006 e 2022. O objetivo foi compreender o jornal enquanto instrumento de comunicação organizacional, tendo em vista as especificidades de seu lócus de produção e a necessidade de articular demandas institucionais aos princípios da comunicação pública e da divulgação científica. Verificou-se que, embora o Jornal UFG sempre tenha se colocado como um veículo de divulgação científica, sua trajetória foi marcada pela busca de um equilíbrio entre o conteúdo institucional e o científico.
Estudio de Público en la creación de Materia, el museo del Centro de Ciencias de Sinaloa
Authors: Rubiales García Jurado Ricardo
Published: November 2022

En el proceso de creación de Materia, el Museo del Centro de Ciencias de Sinaloa, se propuso el desarrollo de un estudio de publico que permitiera incluir las voces de diferentes comunidades y audiencias en el proceso de diseño museológico. Con más de 1900 participantes en 85 sesiones de diálogo fue posible marcar líneas de pensamiento, aproximaciones y referentes de diversos públicos que nos permitieron armar el proyecto museológico que hoy propone Materia. La investigación subraya aproximaciones propias del contexto inmediato así como percepciones y comprensiones de la ciencia y la tecnología en diversos públicos.
Para entender la ciencia, el proceso es tan importante como los resultados
Authors: de Régules Sergio
Published: November 2022

Hoy en día la ciencia está presente en nuestra vida cotidiana y en muchos de los problemas que aquejan al mundo. Sin embargo, la educación formal no ofrece el estímulo que exige la curiosidad innata de los jóvenes estudiantes, que muy pronto pierden el interés en la ciencia. Este libro es un esfuerzo por revertir esa tendencia mostrando que la ciencia está llena de asombros y que el pensamiento crítico puede contribuir a resolver esos problemas, así como a combatir los estragos que causan las pseudociencias y las “fake news”. El secreto está en discutir los procesos de la ciencia, no sólo sus resultados.
El constructivismo como enfoque en la psicología educativa
Authors: Paz Enrique Luis Ernesto , Leyva Hernández María Luisa
Published: November 2022

Constructivism as a psychopedagogical perspective does not in itself constitute a specific paradigm or theory. This is evident in the published scientific literature where there is no consensus regarding the conceptualization of the constructivist approach. It is based as a referential - explanatory framework in the field of education. It takes as a principle that the subjects of the teaching process build a large part of what they learn and understand. This perspective leaves the authors Piaget and Vygotsky with the theory and research on human development. The present study focuses on analyzing the perspective raised by the authors Urrutia-Aguilar, Jaimes-Medrano and Aburto-Arciniega (2022) on the resilience of high school teachers. In the study are not analyzed the potentialities of constructivism as a perspective in educational psychology. This would have favored the continuity of the educational teaching process. Consequently, there is a set of paradigms and theories that favor autonomous learning, mainly for high school students.
Síndrome del burnout en docentes: sus desafíos en tiempos de pandemia
Authors: Alvarado Rozo Omar Alberto , Montenegro Liz Giomaira , Lerma Castaño Piedad Rocío , Martínez Pérez Leonardo Fabio , García Ramírez Natalia Katherine , Robledo Castro Carolina , Parada Silva Juan Alexis , Rivera Gómez Andrés Felipe , Pachón Ospina Luis Gerardo , Vargas Sánchez Darwin Leonardo , García Martínez Álvaro
Published: November 2022

La investigación marca un ritmo importante en la Escuela Ciencias de Educación (ECEDU) de la Universidad Nacional Abierta y a Distancia (UNAD) y de manera partícular con el programa de Licenciatura de Filosofía, que cumple 25 años de historia jugando un papel importante en la formación de licenciados en filosofía a lo largo y ancho de nuestro país y con pertinencia, realizando presencia en la periferia con el poder de alcance de la educación virtual, que se ha constituido como icono de transferencia de conocimiento a miles de colombianos que buscan la oportunidad para transformar vidas en la sociedad.
Fibrolipomatous hamartoma of the median nerve: An unusual cause of carpal tunnel syndrome
Authors: Siqueira Mario , Martins Roberto , Foroni Luciano , Oliveira Adilson , Lordelo Gustavo , Heise Carlos
Published: November 2022

Carpal tunnel release must be preceded by complete investigation to
avoid misdiagnosis and surgical complications
3D Imaging Method of Airborne Array Flexible SAR Based on Distributed POS
Authors: Yang Ling , Zhang Fubo , Qiao Ming , Chen LongYong
Published: November 2022

The longer the baseline length of an airborne array synthetic aperture
radar (SAR) is, the richer the ground object information can be
resolved. The airborne array flexible SAR can overcome the limitation
that the baseline length is limited by the belly length by attaching the
antenna to the wing. However, fusing the airborne array flexible SAR
distributed position and orientation system (POS) data under the wing
and the belly is a major difficulty. To address this issue, the paper
analyzes the inconsistency of airborne array flexible SAR data with a
distributed position and orientation system (POS) and proposes a
three-dimensional imaging method of airborne array flexible SAR based on
distributed POS by fusing the Doppler center, yaw angle, and time of the
observation data. By using distributed POS data, flexible data can
obtain higher resolution than single-POS processing. The experiment of
airborne array flexible SAR data proves the superiority of the proposed
method.
Vibrational resonance in the canonical Chua's circuit with a smooth nonlinear resistor
Authors: Li Hao , Liu Jiangling , Du Luchun
Published: November 2022

Vibrational resonance in the canonical Chua’s circuit with a smooth
cubic nonlinear resistor is investigated by an analog circuit experiment
and a dynamical model. When other parameters are fixed, changing the
amplitude and the frequency of the high-frequency signal can make the
system’s response amplitude to the low-frequency weak signal exists a
wide peak. The phase diagram of the system will transition from a
single-scroll attractor to a double-scroll attractor when the amplitude
of the high-frequency signal reaches the critical value to achieve
vibrational resonance. In particular, the maximum of the system’s
response amplitude is insusceptible when the frequency of the
high-frequency signal varies over a broad range, which indicates the
strong robustness of the vibrational resonance in the present system.
The experimental results are coincident with the numerical simulations.
This research has potential applications in chaos control and weak
signal detection.
Improving an Elective Thyroidectomy and Parathyroidectomy Waiting List Using Augmented Intelligence and Quality of Life Metrics: a Cross-sectional Feasibility Study.
Authors: Shahnazari Sipan , Tolley Neil
Published: November 2022

Objectives Current patient prioritization is based on guidance from the
Federation of Surgical Specialty Associations (FSSA). This approach
fails to identify and prioritize patients with the greatest need and
risk of deterioration. Quality of Life (QOL) metrics and augmented
intelligence (AI) can be used to achieve this. Our feasibility study
aims to assess whether QOL metrics and AI could be used to prioritize an
elective waiting list. Design An augmented intelligence software,
Copeland Clinical Artificial Intelligence (C2-AI, Cambridge England),
was used to analyze physiological data to calculate current and delayed
morbidity and mortality. These patients also completed online QOL
surveys. The combined scores were used to reprioritize the waiting list.
The correlation was assessed between the original FSSA and enhanced
waiting list. Differences in current and delayed mortality and morbidity
were also compared. Results 20 patients were analyzed by C2-AI. An
increase was seen in patient mortality (0.57% to 0.68%,
p<0.01) and morbidity if their procedure was delayed (7.6% to
8.8%, p<0.01). The greatest increases were seen in the risk
of pneumonia, wound infection, and hemorrhage. The enhanced waiting list
failed to correlate with the initial FSSA waiting list prioritization.
Conclusions Our study was able to demonstrate that AI and QOL metrics
can be used to prioritize patients on an elective operative list.
Furthermore, it might be possible to mitigate against complications in
high risk patients due to operative delay. Future studies will
implementation of the enhanced prioritization to asses whether it is
beneficial to patients and the healthcare system.
Elastomeric Polymers for Conductive Layers of Flexible Sensors: Materials, Fabrication, Performance, and Applications
Authors: Huang Yingxiang , Peng Cong , Li Yu , Yang Yanzhao , Feng Wei
Published: November 2022

In the wave of the Internet era created by computer and communication
technology, flexible sensors play an important role in accurately
collecting information owing to their excellent flexibility, ductility,
freeform bending or folding, and versatile structural shapes. By
endowing elastomeric polymers with conductivity, researchers have
recently devoted extensive efforts toward developing high-performance
flexible sensors based on elastomeric conductive layers and exploring
their potential applications in diverse fields ranging from project
manufacturing to daily life. This review reports the recent advancements
in elastomeric polymers used to make conductive layers, as well as the
relationships between elastomeric polymers and the performance and
application of flexible sensors are comprehensively summarized. First,
the principles and methods for using elastomeric polymers to construct
conductive layers are provided. Then, the fundamental design, unique
properties, and underlying mechanisms in different flexible sensors
(pressure/strain, temperature, humidity) and their related applications
are revealed. Finally, this review concludes with a perspective on the
challenges and future directions of high-performance flexible sensors.
A novel architecture for knowledge mining from digitised document libraries
Authors: Malinverno Luca , Tugnoli Alessio , Ficini Andrea , Ventura Barbara Elvira , Beshara Matteo Kirolos , Fergonzi Flavio , Ghisoni Francesco
Published: November 2022

This paper examines a novel knowledge mining architecture based on the
Azure cloud data and AI services, to extract data from the Emporium
library, a modern art journal published between 1985 and 1964. The
knowledge mining starts with Optical Character Recognition (OCR) and
custom Name Entity Recognition (NER) on digitised images of the pages
and provide the final user with an user-friendly search portal to
navigates the hundreds of pages in milliseconds through a semantic
query. The study proved how this architecture fits from an art scholar’s
perspective and how it enables to build more comprehensive statistics
and description of the document corpus.
A case report of hepatocellular carcinoma achieving pathological complete remission after combined therapy
Authors: Liu Jinghua , wang yingli , Yang Shuai
Published: November 2022

Background: Hepatocellular carcinoma (HCC) is the fifth most common
malignancy in the world and the fourth leading cause of death. In recent
years, TACE, TKIs, and ICIs have gradually become the preferred
treatments with the exploration of advanced HCC treatment is changing
day by day. Case: A 67-year-old man presented with HCC: CT findings
suggested that the tumour was located in the left lobe of the liver with
embolization of the left branch of the portal vein and the main trunk,
and the patient was evaluated as HCC stage BCLC-C, CNLC stage IIIa, and
Child-Pugh grade A. The patient was in such condition that surgery was
not possible for the time being, so the decision was made to implement
TKIs (sorafenib, Bayer, Germany) + ICIs (carrilizumab, Hengrui, Jiangsu)
on the basis of TACE, while taking into account both antiviral therapy
and liver function protection. After 3 times of TACE and more than 3
months of comprehensive treatment, the criteria for surgical resection
were met and left hemicolectomy + portal vein exploration +
cholecystectomy was performed. Finally, the postoperative pathology
suggested extensive necrosis of the liver tissue, and no living cancer
cells were found in the mass or in the cancer embolus. From this it can
be seen that for patients with HCC that cannot be treated surgically at
first diagnosis, translational therapy is particularly important.
Conclusion: Targeted therapy, immunotherapy or combination therapy as
adjuvant therapy to improve response rates to chemotherapy, TACE and
radiotherapy, reducing the stage of unresectable HCC and giving patients
access to surgery will benefit many patients with intermediate and even
advanced HCC.
Determining the Occupational Health and Safety of Workers in The Food Manufacturing Sector of Pakistan
Authors: Atiq Nazia , Akhlaq Ather
Published: November 2022

Background: For organizations, conducting work in a safe environment has become mandatory under the provisions and guidelines provided by international and local laws. Occupational health and safety (OHS) standards have become a requisite in almost every industry these days; however, many organizations in developing countries are negligent at adhering to the safety measures, and there is also an absence of proper monitoring.

Objective: Our objective was to determine the occupational health and safety standards that are prevailing in the food manufacturing sector of Pakistan. For this, we approached several food manufacturing companies and conducted interviews with quality assurance managers and health and safety executives to evaluate and analyze the workplace conditions to understand their OHS practices.

Methods: We conducted 7 interviews with quality assurance managers in the food manufacturing and services companies of Pakistan. The interview guide was used for eliciting responses and a coding method was used to arrive at the themes of the data gathered.

Results: The interviews conducted with quality assurance managers and those working to ensure that safety measures are practiced in their company, showed that the export-oriented food manufacturing companies in Pakistan are following OHS standards, as it has become a necessity, with numerous

benefits such as ensuring worker safety, maintaining company reputation. However, the extent to which these measures are implemented and strictly followed varies, as there are certain issues that arise when companies try to follow and implement OHS practices The problems vary from company to company however, most of them relate to worker adaptability, costs, and training needs.  OHS situation in local firms is concerning. Most of them do not have HSE officers, not the concept of toolbox talk, no preventive and safety measures.  These poor practices make the situation unsafe, which lead to fatalities

Conclusion:

By establishing a national framework for policies and legislations as per the conventions of ILO for a better workplace environment along with proper law enforcement improvement in occupational health and safety domain can be achieved.