bluuebunny/crossref_metadata_2025 huggingface dataset:
ADHERENCE TO THERAPEUTIC EXERCISE IN PATIENTS WITH NONSPECIFIC LOW BACK PAIN
Authors: LONČARİĆ KELEČİĆ Iva , SCHUSTER Snježana
Published: August 2023

Purpose: Adherence to therapeutic exercises for low back pain can significantly impact longevity, quality of life, and health care costs. There is insufficient research describing the nature and relationship between specific patient characteristics and exercise adherence in non-specific low back pain (NSLBP). This research aimed to examine: (i) the relationship between education and adherence, (ii) the relationship between perceived pain level and adherence, and (iii) whether education and pain level are significant predictors of adherence.

Methods: Observational analytic research was conducted in a physiotherapy outpatient setting on a sample of 50 subjects with NSLBP. Data collected were: sociodemographic, pain level according to the visual analogue scale (VAS) and adherence measured by the Exercise Adherence Rating Scale (EARS). For hypotheses testing, statistical methods used were; t-test for small independent samples (i), Pearson correlation coefficient (ii) and linear regression analysis (iii).

Results: The results show that: (i) people with a college education are more adherent, (ii) increasing adherence reduces pain level, and (iii) education and pain level are significant in predicting adherence, where education is a stronger predictor.

Conclusion: College-educated persons are more prone to therapeutic exercise, and adherence determines physiotherapy outcomes. The contribution of research to clinical practice is reflected in the findings of the nature and relationship between education level and exercise adherence in NSLBP and its significant impact on physiotherapy outcomes.
Effects of Dynamic Assessment of Grammatical Structures on Learners’ Speaking Accuracy: The Case of Hawassa University, Ethiopia
Authors:   Department of Foreign Languages and Literature, College of Humanities, Language Studies, Journalism and Communication, Addis Ababa University, Ethiopia, Managdew Abayneh Feleke , Seda Taye Regassa
Published: August 2023

One of the central problems second language (L2) students face during speaking is the frequent use of ungrammatical structures. Scholars suggest Dynamic assessment (DA), which integrates language instruction and assessment in L2 classrooms, is very helpful in enhancing learners’ speaking accuracy. However, the DA as an L2 instruction/assessment approach and the Weighted Clause Ratio [WCR] as a method of analyzing speaking accuracy has never been addressed in Ethiopia before. Therefore, this research examined the extent of the effects of DA on English language structures during dialogues on learners’ speaking accuracy during monologues. To do so, an experimental study was conducted on 48 second-year English language students of Hawassa University, Ethiopia. The participants took static pretests prepared based on the IELTS Speaking Exam Syllabus. Subsequently, each student’s monologue was transcribed and the grammar accuracy was scored using a Weighted Clause Ratio (WCR). Then, the students (n=48) were assigned to the experimental and control groups based on systematic random sampling, and the equivalence of these two groups was checked. Finally, the treatment group received DA of speaking skills, whereas the control group got a Non-dynamic assessment (NDA) of speaking skills for 12 weeks. The result showed that DA had a statistically significant effect on students’ oral accuracy. The finding implies that applying DA in ELT classrooms helps to sp facilitate learners’ L2 acquisition.
Estimating discharge coefficient of triangular free overfall using the GMDH technique
Authors: Mohammed Ahmed Y. , Sharifi Ali
Published: August 2023

Free overfalls are hydraulic structures used in flood control, water supply, irrigation, and flow measurements. The hydraulic systems of free overfall depend on rectangular end shape. The studies that dealt with triangular crest are few and almost non-existent. In this study, a triangular end-shape design uses multiple linear regression (MLR) and group method of data handling (GMDH) methods for four models with six sub-models. Then, 24 scenarios were chosen and compared. The discharge coefficient (Cd) of a free overfall with a triangular terminal was predicted using experimental data. The triangular end edge shape increased crest length, the discharge coefficient, and discharge passing over free overfall. To this goal, 180 triangular free fall tests were performed. Data were collected for two triangular free overfalls with an opposite flow direction with three angles 600, 750, and 900. Results of Cd acquired using the two ways discussed above show that the algorithm GMDH outperforms the other method. Values for the GMDH approach mod46 testing variables: RMSE, MARE, SI, R2, and NSE are 6.08 × 10−17, 2.65 × 10−17, 6.00 × 10−17, 100.00%, and 1.00, respectively, while these values for MLR are 0.06332, 0.05970, 0.06624, 15.431%, and −3.0419, respectively. The GMDH technique shows the best results concerning MLR and then chooses the best four scenarios from 24 with a Cd percentage error not exceeding ±2%.
Spatial variation of dissolved organic matter in the Tuojiang River Basin in Chengdu, China: insights based on EEMs–PARAFAC analysis
Authors: Li Xiaxia , Chai Beibei , Wang Chao , Li Hongtao , Wu Yong , Lei Xiaohui , Chen Bin
Published: August 2023

Three-dimensional excitation–emission matrix fluorescence spectroscopy coupled with parallel factor analysis was adopted to investigate the characteristics of dissolved organic matter (DOM) components in water samples collected from the Tuojiang River Basin in Chengdu, including its main stream and tributaries. Four DOM components that matched with three fluorescence peaks were identified in the whole river basin and tributaries; while three components corresponding to four fluorescence peaks were identified in the main stream. In all cases, humic-like components accounted for high proportions of the DOM. Correlation analysis revealed the same sources for four components in the whole river basin and its tributaries, whereas two components had different sources in the main stream. Ultraviolet absorbance parameters (SUVA254, SR) and fluorescence parameters (BIX, HIX, FI, β:α) indicated the dominant autochthonous sources of DOM in the whole river basin. Higher terrestrial inputs of DOM were observed in the tributaries than in the main stream. In the areas influenced by human activities (6#, 17#, 18#), the sources of DOM showed strong terrestrial characteristics and high degrees of humification and aromatization, as well as serious pollution. The results of this study have potentially far-reaching implications for environmental water management in the area.
Hipoacusia súbita como manifestación inicial en pacientes con enfermedades reumáticas autoinmunes sistémicas: serie de casos
Authors: Patiño-Arboleda Marcela , Rueda-Gutiérrez Jorge Manuel , Ocampo-Chaparro José Mauricio , Arbeláez-Cortés Álvaro
Published: August 2023

La hipoacusia súbita es una entidad de aparición aguda secundaria a múltiples etiologías, como las enfermedades reumáticas autoinmunes sistémicas (ERAS). La afectación suele ser unilateral, asociada a taponamiento de oídos y tinnitus. El diagnóstico se basa en la historia clínica, el examen físico y la audiometría. Según la etiología, el tratamiento de primera línea son los corticoides sistémicos y otros agentes terapéuticos. El pronóstico depende del grado de pérdida auditiva, el momento de inicio de la terapia y factores inherentes al paciente. A continuación, se presentan tres casos clínicos de pacientes que debutaron con hipoacusia súbita como manifestación inicial de ERAS.
Sobre la ley natural en Santo Tomás de Aquino
Authors: Fattah Javier
Published: August 2023

El presente trabajo pretende evidenciar algunos de los elementos centrales de la ley natural a la luz del pensamiento de Santo Tomás. Al plantear la existencia de una ley natural, nuestro autor tiende a establecer distinciones en el modo que esta ópera en los seres creados, siendo una diferencia sustancial la distinción entre seres racionales e irracionales. Inevitablemente, la ley natural trae consecuencias prácticas, en el sentido que esta, por lo menos dentro del pensamiento de Santo Tomás, suele derivar en normas de carácter ético, de ahí que sea posible considerar que la ley natural tiene cierta orientación de carácter práctico, aunque debemos notar que en el caso particular del hombre y a pesar de que se encuentra “sometido” a estas orientaciones este tiene la posibilidad de negar sus inclinaciones, producto tanto de su naturaleza racional como de su libertad, no obstante, negar la ley natural lo llevaría a actuar contra su propia naturaleza.
ideia de razão pública segundo John Rawls
Authors: Rossi Ana Flávia , Feldhaus Charles
Published: August 2023

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Habermas e o expressivismo de normas de Allan Gibbard
Authors: Feldhaus Charles
Published: August 2023

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Marine Bacteria: A Source of Novel Bioactive Natural Products
Authors: Zha Xiangru , Ji Rong , Zhou Songlin
Published: August 2023

:

Marine natural products have great pharmacological potential due to their
unique and diverse chemical structures. The marine bacterial biodiversity and the unique
marine environment lead to a high level of complexity and ecological interaction among
marine species. This results in the production of metabolic pathways and adaptation
mechanisms that are different from those of terrestrial organisms, which has drawn significant
attention from researchers in the field of natural medicine. This review provides an
analysis of the distribution and frequency of keywords in the literature on marine bacterial
natural products as well as an overview of the new natural products isolated from the
secondary metabolites of marine bacteria in recent years. Finally, it discusses the current
research hotspots in this field and speculates on future directions and limitations.
Qingfei Formula Protects against Human Respiratory Syn cytial
Virus-induced Lung Inflammatory Injury by Regulating the M APK
Signaling Pathway
Authors: Sun Ya-Lei , Zhao Pei-Pei , Zhu Cheng-Bi , Li Xin-Min , Yuan Bin
Published: August 2023

Objective:

Qingfei formula (QF) is an empirical formula that shows good clinical efficacy
in treating human respiratory syncytial virus pneumonia (RSVP). However, the underlying
mechanism remains unclear. This study explores the possible pharmacological actions of QF in
RSVP treatment.

Methods:

We used a network pharmacology approach to identify the active ingredients of QF,
forecast possible therapeutic targets, and analyze biological processes and pathways. Molecular
docking simulation was used to evaluate the binding capability of active ingredients and therapeutic
targets. Finally, in vivo experiments confirmed the reliability of network pharmacology-based
prediction of underlying mechanisms.

Results:

The study identified 92 potential therapeutic targets and corresponding 131 active ingredients.
Enrichment analysis showed that QF downregulated the MAPK signaling pathway and suppressed
the inflammatory injury to the lungs induced by the RSV virus. Molecular docking simulations
demonstrated that the core active ingredients of QF could stably bind to genes associated with
the MAPK signaling pathway. QF had a protective effect against pneumonia in RSV-infected
mice. The QF group exhibited a significant reduction in the levels of inflammatory mediators, interleukin-
6 (IL-6), interleukin-8 (CXCL8, IL-8), and P-STAT3, compared to the RSV-induced
group. The QF group showed remarkably inhibited MAPK1+3(P-ERK1+2) and MAPK8(P-JNK)
protein expression.

Conclusion:

The current study showed that QF downregulated the MAPK signaling pathway,
which inhibited pulmonary inflammation triggered by RSV infection. This study recommends the
appropriate use of QF in the clinical management of RSVP.
Identification of Selective JAK3/STAT1 and CYP34A from Pyrazolopyrimidine Derivatives: A Search for Potential Drug Targets for Rheumatoid Arthritis using In-silico Drug Discovery Techniques
Authors: Faris Abdelmoujoud , Ibrahim Ibrahim M. , Chakraborty Souvik , Al Kamaly Omkulthom , Alshawwa Samar Zuhair , Elhallaoui Menana
Published: August 2023

Objective:

This study aimed to discover a novel active compound capable of effectively inhibiting JAK3/STAT1 and CYP3A4 using molecular modelling techniques, with the goal of treating autoimmune diseases such as cancer and specifically rheumatoid arthritis. The study involved modelling compounds derived from pyrazolopyrimidine, followed by screening methods to identify the most promising compounds. Moreover, this study seeks to identify potential compounds that can inhibit JAK3/STAT through molecular modelling techniques and validate the stability and affinity of the predicted molecule.

Methods:

Various molecular modelling techniques were employed to identify potential compounds and assess the stability and affinity of the predicted molecule. A pharmacophore hypothesis was developed to obtain crucial information about the experimental series of pyrazolopyrimidine studied, which served as the basis for designing new molecules. Additionally, ADMET was utilized to predict and evaluate the pharmacokinetic properties and potential toxicity of the compound prior to synthesis or utilization. To determine the essential residues involved in the interaction between the molecule and the target JAK3 protein, the covalent docking method was applied. We further validated the binding stability of the JAK3 protein with the ligands ZINC62162141 and Tofacitinib, both of which have been approved by the FDA for JAK3/STAT inhibition., using DFT/B3LYP/6-31G molecular dynamics simulations lasting 1000 ns and MM/GBSA.

Results:

During the study, we identified compounds that displayed notable activity against JAK3/STAT, specifically those containing thiadiazol, oxadiazol, and chlorophenyl groups. Additionally, the pharmacophore model, ADRRR_1, exhibited promising potential for predicting new molecules. The predicted compound, ZINC62162141, demonstrated favourable ADMET properties, including inhibition of CYP3A4. Furthermore, we assessed its binding stability to the target protein and determined its affinity for the protein-ligand complex using MMGBSA.

Conclusion:

The results of this study suggest that the compounds identified have the potential to be promising candidates for inhibiting JAK3/STAT and CYP3A4, offering potential therapeutic benefits for the treatment of rheumatoid arthritis. These findings provide a foundation for subsequent experimental validation and the development of novel drugs in this field.
Recent Advances in Transition Metal Catalyzed Synthesis of
C3-Substitution-free 2-Oxindole Derivatives
Authors: Das Partha Pratim , Das Debapratim
Published: August 2023

2-Oxindole unit is one of the most important scaffolds found in several alkaloids, natural
products, antitumor agents, pharmaceutically important compounds, etc. Molecules containing the 2-
oxindole moiety were first isolated from the cat claw plant, widely distributed in the Amazon jungle.
It has now been demonstrated that these molecules are present in a wide range of chemicals derived
from plant sources. The capacity of 2-oxindole to be altered by various chemical groups to provide
unique biological activities can be attributed to its function as a chemical framework for creating and
developing biological medications. Since the development of its first synthetic methodology, several
research groups have developed protocols for producing 2-oxindole core and its bioactive derivatives.
These include the traditional method and the transition/non-transition metal-catalyzed pathway
for the synthesis of C3-non-substituted/C3-mono-substituted/C3-di-substituted core. Among those,
C3-substitution-free 2-oxindole core synthesis is quite a challenging task, as C3-centre is very reactive.
Syntheses of C3-substitution-free 2-oxindole cores have been less explored compared to other
substituted 2-oxindole derivatives. In this review article, we have mainly focused on showcasing the
transition metal-catalyzed synthetic methodology for the synthesis of 2-oxindoles with no substitution
at C3-centre.
Atopic March in Children: A Case Report and Review of Current Literature
Authors: Indolfi Cristiana , Klain Angela , Maiello Nunzia , Palumbo Paola , Palladino Eleonora , Dinardo Giulio , Contieri Marcella , Decimo Fabio , del Giudice Michele Miraglia
Published: August 2023

Background:

The concept of atopic march was introduced about 15 years ago to define the temporal progression of different allergic conditions, from atopic dermatitis and food allergies in earliest childhood to the development of asthma and allergic rhinitis in older children.

Case Presentation:

The authors describe a case report of a young girl who went through the stages of atopic march. The child first showed atopic dermatitis and food allergy in infancy, and, after-wards, she manifested allergic rhinitis and asthma in childhood.

Discussion:

This timeline reflects the atopic march's spatial evolution, beginning with the skin and gastrointestinal tract and progressing to the upper and lower airways.

Conclusion:

In accord with the most recent evidence, rather than being defined in terms of chrono-logical progression, atopic diseases should be investigated as a spectrum of atopic disorders that might take various developmental paths. According to this theory, the use of Component Resolved Diagnosis in atopic children can be beneficial for highlighting and predicting the atopic profile du-ring the earliest years of life before symptoms arise, helping to stratify the clinical risk and preven-ting the onset of the atopic march and severe responses.
Advances in Cell Transplantation Therapy for Limbal Stem Cell Deficiency
Authors: Gui Yujia , He Yuxi , Wang Di , Wang Shurong , Zhang Yan
Published: August 2023

Background:

Limbal stem cells (LSCs) are essential for maintaining corneal transparency and
ocular surface integrity. Many external factors or genetic diseases can lead to corneal limbal stem cell
deficiency (LSCD), resulting in the loss of barrier and corneal epithelial cell renewal functions. Stem cell
transplantation is one of the primary treatments for LSCD, including limbal transplantation and cultivated
limbal epithelial transplantation. In addition, a variety of non-limbal stem cell lines have been experimented
with for LSCD treatment. Biological scaffolds are also used to support in vitro stem cell culture
and transplantation. Here, we review the mechanisms of corneal maintenance by LSCs, the clinical stage
and surgical treatment of LSCD, the source of stem cells, and the biological scaffolds required for in vitro
culture.

Methods:

This study is a narrative retrospective study aimed at collecting available information on various
aspects of surgical treatments for LSCD. Relevant literature was searched in a range of online databases,
including Web of Science, Scopus, and PubMed from 2005 to March, 2023

Results:

A total of 397 relevant articles were found, and 49 articles with strong relevance to the studies in
this paper were obtained and analyzed. Moreover, 11 of these articles were on the concept of LSCD and
the mechanism of LESCs maintaining the corneal epithelium, 3 articles on the staging and grading of
LSCD, 17 articles on cell transplantation methods and donor cell sources, and 18 articles on scaffolds for
delivering stem cells. We also summarized the advantages and disadvantages of different cell transplantation
methods and the benefits and limitations of scaffolds based on the above literature

Conclusion:

The treatment of LSCD is determined by the clinical stage and whether it involves monocular
or binocular eyes. Appropriate surgical techniques should be taken for LSCD patients in order to reconstruct
the ocular surface, relieve symptoms, and restore visual function. Meanwhile, biological scaffolds
assist in the ex vivo culture and implantation of stem cells.
Identification of Stem Cell-related Gene Markers by Comprehensive
Transcriptome Analysis to Predict the Prognosis and Immunotherapy of
Lung Adenocarcinoma
Authors: Lai Hongzhang , Wen Xiwu , Peng Yukun , Zhang Long
Published: August 2023

Background:

Cancer stem cells (CSCs) contribute to metastasis and drug resistance to immunotherapy
in lung adenocarcinoma (LUAD), so the stemness evaluation of cancer cells is of great significance.

Method:

The single-cell RNA sequencing (scRNA-seq) data of the GSE149655 dataset were collected
and analyzed. Malignant cells were distinguished by CopyKAT. CytoTRACE score of marker genes in
malignant cells was counted by CytoTRACE to construct the stemness score formula. Sample stemness
score in TCGA was determined by the formula and divided into high-, medium- and low-stemness score
groups. LASSO and COX regression analyses were carried out to screen the key genes related to the
prognosis of LUAD from the differentially expressed genes (DEGs) in high- and low-stemness score
groups and a risk score model was constructed.

Result:

Seven types of cells were identified from a total of 4 samples, and 193 marker genes of 3455 malignant
cells were identified. There were 1098 DEGs between low- and high-stemness score groups of
TCGA, of which CPS1, CENPK, GJB3, and TPSB2 constituted gene signatures. The 4-gene signature
could independently evaluate LUAD survival in the training and validation sets and showed an acceptable
area under the receiver operator characteristic (ROC) curves (AUCs).

Conclusion:

This study provides insights into the cellular heterogeneity of LUAD and develops a new
cancer stemness evaluation indicator and a 4-gene signature as a potential tool for evaluating the response
of LUAD to immune checkpoint blockade (ICB) therapy or antineoplastic therapy.
New Promising Routes in Peptic Ulcers: Toll-like Receptors and
Semaphorins
Authors: Jacob Teresa V. , Doshi Gaurav M.
Published: August 2023

Peptic ulcers (PU) are one of the commonest yet problematic diseases found to be existing
in the majority of the population. Today, drugs from a wide range of therapeutic classes are
available for the management of the disease. Still, the complications of the condition are difficult to
tackle and the side effect profile is quite a concern. The literature indicates that Toll-like receptors
(TLRs) and Semaphorins (SEMAs) have been under study for their various pharmacological actions
over the past few decades. Both these signalling pathways are found to regulate immunological and
inflammatory responses. Moreover, receptors and signalling molecules from the family of TLRs and
SEMAs are found to have bacterial recognition and antibacterial properties which are essential in
eradicating Helicobacter pylori (H. pylori), one of the major causative agents of PU. Our understanding
of SEMAs, a class of proteins involved in cell signalling, is relatively less developed compared
to TLRs, another class of proteins involved in the immune response. SEMAs and TLRs play
different roles in biological processes, with SEMAs primarily involved in guiding cell migration
and axon guidance during development, while TLRs are responsible for recognizing pathogens and
initiating an immune response. Here, in this review, we will discuss in detail the signalling cascade
of TLRs and SEMAs and thereby understand its association with PU for future therapeutic targeting.
The review also aims at providing an overview of the study that has been into exploring the role
of these signalling pathways in the management of PU.
Characterization of Position Synchronous Control System for Double
Hydraulic Cylinder
Authors: Gao Bingwei , Xu Bin , Zhang Wei , Zheng Lintao
Published: August 2023

Background:

There are some problems in the synchronous control system of electrohydraulic
servo double hydraulic cylinders, such as uncertainty of system parameters, time variation,
difference between two subsystems, and unbalanced load disturbance during operation. The
above problems cause the output responses of the two cylinders to be inconsistent, resulting in the
situation that the output flows of the two cylinders are not synchronized.

Objective:

Further improve the accuracy of synchronous control while reducing the cost of using
synchronous control system.

Methods:

The AMEsim simulation model of electro-hydraulic servo dual-cylinder synchronous
control system is established, and based on this model, the dynamic characteristics, coupling characteristics,
and synchronization characteristics of the double-cylinder system are analyzed theoretically
and simulated.

Results:

Analyze and verify the influence of various factors on the synchronization of double hydraulic
cylinders, and summarize the influence law of the change of different factors on the output
and synchronization accuracy of the double hydraulic cylinder system.

Conclusion:

This study analyzes the influence of various factors on the synchronization of double
cylinders by adjusting the parameters, and summarizes the influence law of the change of different
factors on the output and synchronization accuracy of the double cylinder system.
Analyzing the Performances of Different ML Algorithms on the WBCD Dataset
Authors: Muralidharr Trupthi , Sethu Madhav Prajwal , Prashanth Kumar Priyanka , Tiwari Harshawardhan
Published: August 2023

Breast cancer is a disease with a high fatality rate each year. It is the most
frequent cancer in women and the leading cause of death in women worldwide. The
method of machine learning (ML) is an excellent way to categorize data, particularly in
the medical industry. It is widely used for decision-making, categorization, and
analysis. The main objective of this study is to analyze the performances of different
ML algorithms on the WBCD dataset. In this paper, we analysed the performances of
different ML algorithms, i.e., XGboost Classifier, KNN, Random Forest, and SVM
(Support Vector Machine). Accuracy was used in the study to determine the
performance. Experimental result shows that SVMs perform better and are more
accurate than KNNs as the amount of training data increases. The SVM produces better
results when the main component (PC) value grows and the accuracy rating exceeds the
kNN.
Hybrid Convolutional Recurrent Neural Network for Isolated Indian Sign Language Recognition
Authors: Rajasekar Elakkiya , Mathiazhagan Archana , Rajalakshmi Elakkiya
Published: August 2023

Even though the hearing and vocally impaired populace rely entirely on Sign
Language (SL) as a way of communication, the majority of the worldwide people are
unable to interpret it. This creates a significant language barrier between these two
categories. The need for developing Sign Language Recognition (SLR) systems has
arisen as a result of the communication breakdown between the deaf-mute and the
general populace. This paper proposes a Hybrid Convolutional Recurrent Neural
Network-based (H-CRNN) framework for Isolated Indian Sign Language recognition.
The proposed framework is divided into two modules: the Feature Extraction module
and the Sign Model Recognition module. The Feature Extraction module exploits the
Convolutional Neural Network-based framework, and the Model recognition exploits
the LSTM/GRU-based framework for Indian sign representation of English Alphabets
and numbers. The proposed models are evaluated using a newly created Isolated Sign
dataset called ISLAN, the first multi-signer Indian Sign Language representation for
English Alphabets and Numbers. The performance evaluation with the other state-o-
-the-art neural network models have shown that the proposed H-CRNN model has
better accuracy.
Technology Inspired-Elaborative Education Model (TI-EEM): A futuristic need for a Sustainable Education Ecosystem
Authors: Verma Anil , Singh Aman , Anand Divya , Vij Rishika
Published: August 2023

Before three decades, providing higher education infrastructure for young
aspirants in their locality was a challenge for India. With 5164 higher education
institutions, including universities, colleges, and stand-alone institutions, India has
surpassed the United States as the global leader in educational infrastructure over the
last two decades. This work intends to propose an elaborative education ecosystem for
sustainable quality education. The secondary data from top global ranking agencies
(Times, QS, Webometric, Scimago, and Shanghai Ranking) is deployed to avoid the
cost of a worldwide survey for primary data and the execution time. Quality education's
quantitative and qualitative parameters are reviewed separately on different scales. The
need for the proposed model is evaluated on academic reputation, employer reputation,
faculty-student ratio, citations per faculty, international faculty, international students,
and infrastructure on the 7-point quality scale. The proposed elaborative model will
establish a robust quality education ecosystem on global parameters. The proposed
model emphasizes the use of emerging technologies including the Internet of Things
(IoT), Artificial Intelligence (AI), and Blockchain (BC), in the education industry.
Cryptocurrency Portfolio Management Using Reinforcement Learning
Authors: Khandor Vatsal , Shah Sanay , Kalkotwar Parth , Tiwari Saurav , Nair Sindhu
Published: August 2023

Portfolio management is the science of choosing the best investment policies
and strategies with the aim of getting maximum returns. Simply, it means managing the
assets/stocks of a company, organization, or individual and taking into account the
risks, and increasing the profit. This paper proposes portfolio management using a bot
leveraging a reinforcement learning environment specifically for cryptocurrencies
which are a hot topic in the current world of technology. The reinforcement Learning
Environment gives the reward/penalty to the agent, which helps it train itself during the
training process and make decisions based on the trial-and-error method. Dense and
CNN networks are used for training the agent to taking the decision to either buy, hold
or sell the coin. Various technical indicators, like MACD, SMA, etc., are also included
in the dataset while making the decisions. The bot is trained on 3-year hourly data of
Bitcoin, and results demonstrate that the Dense and CNN network models show a good
amount of profit against a starting balance of 1,000, indicating that reinforcement
learning environments can be efficacious and can be incorporated into the trading
environments.
Una nueva especie de Acanthocereus (Cactaceae) de Honduras
Authors: Vega Hermes Leonel , Oyuela Olvin , Alemán Maryury , Gómez Hinostrosa Carlos , Hernández Héctor M.
Published: August 2023

Antecedentes y Objetivos: Durante exploraciones en las inmediaciones del Parque Nacional Montaña de Celaque, Honduras, se descubrió una especie nueva de Acanthocereus (Cactaceae). El objetivo del presente trabajo es describir e ilustrar a Acanthocereus lempirensis y compararla con A. chiapensis, su supuesto pariente más cercano. Métodos: Se realizaron colectas botánicas durante 2023. Se revisó material en diversos herbarios y una Base de Datos de Cactáceas de Norte y Centroamérica para hacer un análisis comparativo con otras especies del género, y se elaboró un mapa de distribución. Se evaluó el estado de conservación de la especie, según los criterios de la Lista Roja de la UICN.Resultados clave: Acanthocereus lempirensis parece estar íntimamente relacionada con A. chiapensis por la presencia en ambas especies de tallos verde glauco, ramificados desde la base, con una espinación similar, y flores nocturnas. Se distingue de esta especie fácilmente por la combinación de los siguientes caracteres morfológicos: segmentos del perianto rosas, con segmentos internos oblanceolados, con ápices redondeados a retusos, en su mayoría subagudos y los márgenes del ápice diminutamente lacerados. La especie se encuentra restringida a una pequeña área de acantilados calizos y laderas muy inclinadas con bosque tropical caducifolio con Quercus y Pinus. Únicamente se han detectado ca. de 150 individuos en estado silvestre. Se sugiere una categoría de conservación En Peligro Crítico (CR) para esta especie.Conclusiones: Este descubrimiento destaca a Honduras como un importante centro de diversidad de especies de Acanthocereus (cinco spp.), después de México (12 spp.). Los recientes hallazgos botánicos en Honduras (A. canoensis y A. lempirensis) confirman la importancia de continuar y fomentar los estudios florísticos y la conservación de sus ecosistemas.
Analyzing the Performance of Bitcoin to Gold Prices, the Telecommunications Market, the Stock Price Index, and Insurance Companies’ Performance from (March 1, 2021–September 4, 2023)
Authors: Majeed Hawre Latif , Ali Diary Jalal , Mohammed Twana Latif
Published: August 2023

Managing cryptocurrencies by financial intermediaries offer numerous benefits to global financial markets and the economy. Among all cryptocurrencies, Bitcoin stands out with the highest market capitalization and a weak correlation to other assets, making it an attractive option for portfolio diversification and risk management. This research aims to examine the impact of Bitcoin on the NASDAQ gold price (GC), the telecommunications market (IXUT), and insurance company performance (IXIS) through the analysis of secondary data from March 1, 2021, to September 4, 2023. The data were obtained from https://www.investing.com; statistical software E views applied various econometric methods to the data. The results suggest a positive correlation between Bitcoin and the other variables, indicating that Bitcoin can significantly expand investment opportunities and drive economic growth. This study highlights the importance of considering cryptocurrencies, especially Bitcoin, as a viable option for investment diversification and risk management in financial markets.
A Tablet-Based App to Support Nursing Home Staff in Delivering an Individualized Cognitive and Physical Exercise Program for Individuals With Dementia: Mixed Methods Usability Study (Preprint)
Authors: Krafft Jelena , Barisch-Fritz Bettina , Krell-Roesch Janina , Trautwein Sandra , Scharpf Andrea , Woll Alexander
Published: August 2023

BACKGROUND

The promotion of physical activity in individuals with dementia living in nursing homes is crucial for preserving physical and cognitive functions and the associated quality of life. Nevertheless, the implementation of physical activity programs in this setting is challenging, as the time and expertise of nursing home staff are limited. This situation was further exacerbated by the COVID-19 pandemic. Mobile health apps may be a sustainable approach to overcome these challenges in the long term. Therefore, the Individualized Cognitive and Physical Exercise-App (the InCoPE-App) was developed to support nursing home staff in delivering and implementing tailored cognitive and physical exercise training for individuals with dementia.

OBJECTIVE

This study aims to assess the usability of the InCoPE-App in terms of user performance and user perception in a laboratory setting using a mixed methods approach.

METHODS

Nursing home staff were encouraged to perform 5 basic tasks within the InCoPE-App. Their thoughts while using the app were captured by implementing a think aloud protocol. Then, participants completed the System Usability Scale questionnaire. The think aloud transcripts were qualitatively evaluated to unveil usability issues. All identified issues were rated in terms of their necessity to be fixed. Task completion (ie, success rate and time) and perceived usability were evaluated descriptively.

RESULTS

A total of 14 nursing home employees (mean age 53.7, SD 10.6 years; n=13, 93% women) participated in the study. The perceived usability of the InCoPE-App, as assessed by the System Usability Scale questionnaire, can be rated as “good.” The main usability issues concerned navigation logic and comprehensibility of app content.

CONCLUSIONS

The InCoPE-App is a user-friendly app that enables nursing home staff to deliver and implement cognitive and physical exercise training for individuals with dementia in nursing homes. The InCoPE-App can be used with little training, even by people aged ≥50 years, who may have low digital literacy. To achieve sustainable use and high user satisfaction of the InCoPE-App in the long term, it should be implemented and evaluated in a field study.
Evaluation of digital literacy for independent and distance learning of professors and students of Kermanshah University of Medical Sciences (Preprint)
Authors: Safari Sr Yahya , Yousofpour Sr Nasrin
Published: August 2023

BACKGROUND

The present study was conducted with the aim of Evaluation of digital literacy for independent and distance learning of teachers and students of Kermanshah University of Medical Sciences.

OBJECTIVE

The present study was conducted with the aim of Evaluation of digital literacy for independent and distance learning of teachers and students of Kermanshah University of Medical Sciences.

METHODS

The study was carried out using descriptive-cross-sectional method. The statistical population included all students and teachers of Kermanshah University of Medical Sciences. The sample size was selected using Morgan's table, 329 students as sample size and 83 professors as sample size using stratified random method. The data collection tool was the standard questionnaire for general assessment of the level of digital literacy according to the digital literacy model of Dundee University (2016). In order to analyze statistical data, descriptive statistics indices and methods including frequency, percentage, mean, standard deviation, and inferential statistics including Kolmogorov-Smirnov, U-Mann Whitney were used. The data was analyzed by SPSS V. 21 software.

RESULTS

The average total score of digital literacy (p<0.001) as well as the scores of information literacy components (p<0.001), information management and communication literacy (p<0.001), literacy Collaboration and digital content sharing (p<0.001) had a statistically significant difference between professors and students. In this way, the average score of digital literacy (mean difference = 0.33) as well as the average scores of information literacy components (mean difference = 0.32), critical evaluation literacy of information (mean difference = 0.24), management literacy and establishment Communication of information (mean difference = 0.42), and collaboration literacy and digital sharing of content (mean difference = 0.49) were more in professors than students. There was a difference between professors and students in terms of the literacy component score of understanding and participating in digital methods. There was no statistically significant difference between teachers and students in critical information evaluation literacy (p>0.05).

CONCLUSIONS

The results of the research showed that digital literacy and its components are more among professors than among students, so this issue should be paid attention to by university officials and by increasing new technologies, they should create a new scientific approach for students.
Telemedicine’s impact on chronic disease patients: an overview of systematic reviews (Preprint)
Authors: Zhang Kun , Zhu Jiming , Shi Leiyu , Chen Yanhua , Wang Peicheng , He Yanrong , Du Yanrong , Liang Hailun , Zhu Weiguo , Long Xiao
Published: August 2023

BACKGROUND

Telemedicine has been widely used for the treatment and management of patients with chronic diseases. However, there is both favorable and controversial evidence on the application of telemedicine to this field. We conducted an overview of all the systematic reviews available to provide the benefits and challenges of applying telemedicine to patients with diabetes, lung diseases, cancer and cardiovascular diseases.

OBJECTIVE

Given that the concept of telemedicine is complicated, it is essential to clarify and evaluate the effective interventions of telemedicine on chronic disease patients. The study aims to evaluate telemedicine's impact on chronic disease patients from three dimensions (Improving the patient experience of care, improving populations' health, and reducing the per capita cost of health care). We focus on the four major chronic diseases that WHO has highlighted [16] , namely, cardiovascular diseases (e.g., heart attacks and stroke), cancers, chronic lung diseases (such as chronic obstructed pulmonary disease and asthma), and Diabetes. Our findings, with solid evidence and insights, will help policymakers harness the power of telemedicine to improve the care of those with chronic diseases.

METHODS

Medline, EMBASE and Web of Science databases were explored for systematic reviews of telemedicine applications for the chronic diseases from 1 January 2019 to 31 December 2022. Two patient engagement frameworks were synthesized to provide a three-level classification of interventions and solutions to patient care. GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) was used to evaluate the quality of evidence. The IHI Triple Aim framework was adopted to evaluate the effectiveness of telemedicine on patients with diabetes, lung diseases, cancer and cardiovascular diseases.

RESULTS

Of the 90 included reviews, 30 focused on diabetes, 13 focused on lung diseases, 20 examined telemedicine in cancer and 27 in diabetes. Interventions at the consultation level were included in 23 reviews. 59 reviews examined interventions at the involvement level, eight at the level of partnership and shared leadership and 23 investigated various interventions across the three levels. With respect to the outcomes, 18 reviews reported the effects of telemedicine on patient experience of care, such as good receptiveness and empowerment. 26 reviews examined the effects of telemedicine on the improvement of population health, such as a significant reduction in HbA1c. Nine reviews focused on the use of telemedicine in reducing the per capita cost of healthcare.

CONCLUSIONS

Telemedicine has the potential to improve patient experience of care and population health, and may reduce healthcare costs per capita. However, future research is needed to examine telemedicine interventions at different levels in order to confirm their feasibility in chronic diseases.
Research on the Mode of Improving the Employment Ability of College Students by Practicing Education of Business Major in Sichuan International Studies University under the Background of New Liberal Arts
Authors: Jingchen Xian , Xinpeng Xu
Published: August 2023

Under the goals of the new liberal arts construction, the concept and connotation of practical education should be sorted out, the path of practical education in business majors should be summarized, and a practical education model should be established to integrate practical education into professional construction, effectively increasing the depth and breadth of practical education, improving the comprehensive quality of college students, and promoting national economic development, Finally, reasonable suggestions were put forward on how to correctly treat the innovative practice education model in universities to enhance the education system of college students’ employability.
Assessing the Evolution of Thinking Qualities in the Essay Prompts of College English Test Band 4: Trends and Future Implications
Authors: Lingfei Chen , Jianguang Yao
Published: August 2023

This paper provides an analysis of the essay prompts in the College English Test Band 4 from 2011 to June 2023, based on Bloom-Krathwohl’s taxonomy of educational objectives. The study explores the changes in the assessment of thinking qualities and predicts future trends in question formulation for the examination. The findings indicate a shift towards greater emphasis on critical and creative thinking abilities, aligning with national education goals. The examination has evolved to incorporate diverse prompts and question formats, moving away from traditional essay prompts towards more specialized reports and prompts that require in-depth analysis and reflection. It is anticipated that future iterations of the examination will continue to prioritize critical and creative thinking skills and may involve new question formats. Overall, the evolving nature of writing in the College English Test Band 4 reflects the recognition of the significance of nurturing students’ critical and creative thinking abilities, which ultimately promotes effective teaching and learning of English language skills.
Mobile Learning in Civil Servant English Proficiency Training: Advantages, Challenges, and Implementation
Authors: Kong Yan
Published: August 2023

This study takes Hainan Free Trade Port as the background to explore the potential and applicability of mobile learning in improving civil servants' English proficiency. While mobile learning offers many advantages, such as flexibility, convenience, personalization and collaborative learning opportunities, there are still challenges that need to be addressed, including technology infrastructure, data security and digital literacy. Using a specially designed WeChat E-learning training program as an illustrative case, the paper demonstrates how mobile platforms can cater to the unique English training needs of civil servants. This tailored program focuses on individualized learning, interactive sessions, and the establishment of a learning community, aiming to improve their intercultural communication skills crucial for international collaborations. The study highlights that while mobile learning shows great promise in the field of English training for civil servants, adequate support, resources, and optimal integration with traditional training methods are essential to take full advantage of its benefits. In addition, the study points to the need to explore innovative strategies for optimizing mobile learning experiences in the future and assess their long-term impact on civil service performance.
DEVELOPMENT OF ASSAY METHOD AND FORCED DEGRADATION STUDY OF VALSARTAN AND SACUBITRIL BY RP-HPLC IN TABLET FORMULATION
Authors: Naazneen S. , Sridevi A.
Published: August 2023

Objective: A stability-indicating high performance liquid chromatographic (HPLC) method was developed and validated for the estimation of combined tablet formulation of valsartan and sacubitril.Methods: Chromatographic separation was optimized by gradient HPLC on a C18 column [Xterra, 250 x 4.6 mm, 5Âµ] utilizing a mobile phase consisting acetonitrile, methanol and potassium dihydrogen phosphate, pH 3.8 in the ratio of 30: 50:20 v/v at a flow rate of 1 ml/min with UV detection at 263 nm.Results: The retention time of sacubitril and valsartan was 3.01 min and 4.22 min respectively. Good linearity obtained over the range of 20Î¼g/ml to 160Î¼g/ml for valsartan and sacubitril. The correlation coefficient was found to be 0.999and0.998 for sacubitril and valsartan respectively. The % RSD of precision for sacubitril and valsartan was found to be 0.31 and 0.27 respectively. The % mean recovery was found to be 99.20-99.54% for valsartan and 99.85-100.90% for sacubitril. The results obtained for accuracy, precision, LOD, LOQ and ruggedness were within limits.Conclusion: The proposed HPLC method was found to be simple, specific, precise, accurate, rapid and economical for simultaneous estimation of valsartan and sacubitril in bulk and tablet dosage form. Thus the validated economical method was applied for forced degradation study of valsartan and sacubitril tablet.