bluuebunny/crossref_metadata_2025 huggingface dataset:
Bursa İli Mudanya İlçesi Aktif Yeşil Alanları Peyzaj Bitkileri Varlığı Üzerine Bir Araştırma
Authors: MÜDÜK Burcu , ZENCİRKIRAN Murat
Published: May 2023

Mudanya ilçesi aktif yeşil alanlarında bulunan odunsu peyzaj bitkileri takson çeşitliliği ve dağılımlarının incelendiği bu çalışmada, Mudanya ilçesi aktif yeşil alanlarında 112 odunsu peyzaj bitki taksonu tespiti yapılmıştır. Mahallerde tespit edilen bu taksonların 41 familya ve 75 cins içerisinde yer aldıkları görülmüştür. Taksonların 74 adedinin ağaç, 38 adedinin çalı formunda oldukları belirlenmiştir. Mahalle parklarında 56, çocuk oyun alanlarında 37, spor alanlarında ise 15 farklı taksonun yer aldığı görülmüştür. 26 adet aktif yeşil alanda ise odunsu peyzaj bitkileri taksonu olmadığı belirlenmiştir.
Impacts of climate and land use/cover change on mini-hydropower generation in River Kyambura watershed in South Western part of Uganda
Authors: Aruho Tusingwiire Musa , Tumutungire Martin D. , Sempewo Jotham Ivan , Semiyaga Swaib
Published: May 2023

This study explored the combined impacts of climate and land-use change on mini-hydropower generation in the Kyambura watershed. The soil and water assessment tool (SWAT) was used as a hydrological model whereas the statistical downscaling model (SDSM) was used to downscale meteorological data for the Kyambura watershed for the year 2050. The results show that there will be an increase in urban land by 11.89%, barren land by 25.78%, water by 0.49% and a reduction in percentage area coverage of vegetation by 38.17% by the year 2050. A 10.6 and 17.7% increase is anticipated in average annual hydropower generated by the year 2050. There is, therefore, a need to develop governing policies to regulate management practices to preserve the integrity of the watersheds and ensure the reliability of power production.
Microarray-based Detection of Critical Overexpressed Genes in the
Progression of Hepatic Fibrosis in Non-alcoholic Fatty Liver Disease:
A Protein-protein Interaction Network Analysis
Authors: Mahmoudi Ali , Butler Alexandra E. , De Vincentis Antonio , Jamialahmadi Tannaz , Sahebkar Amirhossein
Published: May 2023

Background:

Non-alcoholic fatty liver disease (NAFLD) is a prevalent cause of chronic
liver disease and encompasses a broad spectrum of disorders, including simple steatosis, steatohepatitis,
fibrosis, cirrhosis, and liver cancer. However, due to the global epidemic of NAFLD, where invasive
liver biopsy is the gold standard for diagnosis, it is necessary to identify a more practical method
for early NAFLD diagnosis with useful therapeutic targets; as such, molecular biomarkers could most
readily serve these aims. To this end, we explored the hub genes and biological pathways in fibrosis
progression in NAFLD patients.

Methods:

Raw data from microarray chips with GEO accession GSE49541 were downloaded from
the Gene Expression Omnibus database, and the R package (Affy and Limma) was applied to investigate
differentially expressed genes (DEGs) involved in the progress of low- (mild 0-1 fibrosis score)
to high- (severe 3-4 fibrosis score) fibrosis stage NAFLD patients. Subsequently, significant DEGs
with pathway enrichment were analyzed, including gene ontology (GO), KEGG and Wikipathway. In
order to then explore critical genes, the protein-protein interaction network (PPI) was established and
visualized using the STRING database, with further analysis undertaken using Cytoscape and Gephi
software. Survival analysis was undertaken to determine the overall survival of the hub genes in the
progression of NAFLD to hepatocellular carcinoma.

Results:

A total of 311 significant genes were identified, with an expression of 278 being upregulated
and 33 downregulated in the high vs. low group. Gene functional enrichment analysis of these significant
genes demonstrated major involvement in extracellular matrix (ECM)-receptor interaction, protein
digestion and absorption, and the AGE-RAGE signaling pathway. The PPI network was constructed
with 196 nodes and 572 edges with PPI enrichment using a p-value < 1.0 e-16. Based on this
cut-off, we identified 12 genes with the highest score in four centralities: Degree, Betweenness,
Closeness, and Eigenvector. Those twelve hub genes were CD34, THY1, CFTR, COL3A1,
COL1A1, COL1A2, SPP1, THBS1, THBS2, LUM, VCAN, and VWF. Four of these hub genes,
namely CD34, VWF, SPP1, and VCAN, showed significant association with the development of hepatocellular
carcinoma.

Conclusions:

This PPI network analysis of DEGs identified critical hub genes involved in the progression
of fibrosis and the biological pathways through which they exert their effects in NAFLD patients.
Those 12 genes offer an excellent opportunity for further focused research to determine potential
targets for therapeutic applications.
Synthetic Strategies Towards and Around the CF3S(O) Structural Motif
Authors: Romanenko Vadim D.
Published: May 2023

This account reviews synthetic strategies for constructing and transforming
CF3S(O) structural moiety developed during the last decades. Existing paths to the synthesis
of CF3S(O)-containing organic molecules are demonstrated. Among these are direct trifluoromethanesulfinylation
reactions, oxidation of compounds having CF3S function, substitutive
trifluoromethylation reactions of sulfinic acid halides and esters, and rearrangement reactions.
The reactivity and substituent modification procedures are covered. Also included are sections
on the synthetic application of the CF3S(O)-bearing molecules for the design of biologically
important molecules and synthesis of other organofluorine compounds.
Vitexin Induces Apoptosis and Ferroptosis and Suppresses Malignant Proliferation and Invasion of Bladder Urothelial Carcinoma through PI3K/AKT-Nrf2 Axis
Authors: Wang Chao , Jiang Huamao
Published: May 2023

Background:

Bladder urothelial carcinoma (BUC) is a type of malignant urinary system. Although
several strategies have been applied in the treatment of BUC, its survival remains unsatisfactory,
especially in the patients with advanced BUC. Vitexin, a natural flavonoid has exhibited the inhibitory
effect on various tumors, however, its effect on BUC is still unclear.

Objective:

This study aimed to explore the effect of vitexin on the progression of BUC.

Methods:

The toxicity of vitexin on T24 and 5637 cells was detected by cell counting kit-8 (CCK-8). The
effects of vitexin on proliferation, apoptosis, invasion, epithelial-mesenchymal transition (EMT) and ferroptosis
in BUC cells were determined by CCK-8, flow cytometry, western blot, transwell and immunofluorescence
assays. Additionally, the related mechanism was explored by examining the expression of
the phosphatidylinositol-3 kinase (PI3K)/protein kinase B (AKT)-nuclear factor-erythroid 2 related factor
2 (Nrf2) pathway. Besides, in vivo validation was performed in the xenografted mice.

Results:

Vitexin reduced the BUC cell viability and enhanced the apoptosis rate and the relative protein
expression of p53 and cleaved-caspase3. Also, vitexin decreased the invasion number, and increased the
relative protein expression of E-cadherin with the decreased N-cadherin protein level in T24 and 5637
cells. Besides, vitexin promoted the levels of ROS and MDA, while reduced the GSH level. Vitexin also
increased the level of iron, but decreased the relative protein expression of xCT and GPX4. Erastin further
increased the vitexin-induced iron levels, whereas inverse outcomes were observed in the application of
ferrostatin-1. Additionally, vitexin decreased the relative protein levels of PI3K, p-AKT/AKT, and nuclear
Nrf2, while increased the relative protein level of cytoplasmic Nrf2. Overexpression of PI3K notably
inverted the effect of vitexin on cell viability, apoptosis, invasion, level of ROS and iron. Furthermore,
vitexin reduced the tumor volume and weight of xenografted mice. Vitexin decreased the protein level of
N-cadherin, while increased apoptosis rate of xenografted mice. In addition, vitexin reduced the relative
protein levels of PI3K, p-AKT/AKT, and nuclear Nrf2 with the enhanced relative protein expression of
cytoplasmic Nrf2 in xenografted mice. Moreover, vitexin decreased the relative protein expression of
xCT and GPX4 and the GSH level, whereas increased the MDA level in xenografted mice.

Conclusion:

Vitexin suppressed malignant proliferation and invasion and induced apoptosis and ferroptosis
of BUC involving in PI3K/AKT-Nrf2 pathway.
The Psoriatic Arthritis Experience in Saudi Arabia from the Rheumatologist
and Patient Perspectives
Authors: Alhomood Ibrahim , Fatani Mohamed , Bedaiwi Mohamed , Al Natour Sahar , Erdogan Alper , Alsharafi Aya , Attar Suzan
Published: May 2023

Background:

Psoriatic arthritis (PsA) is a musculoskeletal disease that adversely affects physical mobility and quality of life. It is challenging to manage because of the heterogeneous na-ture of the symptoms and the current treatment options.
To explore the patient and rheumatologist perspectives of PsA to help improve understanding of the disease experience and improve disease management

Purpose:

To explore the patient and rheumatologist perspectives of PsA to help improve under-standing of the disease experience and improve disease management.

Methods:

A descriptive, observational cross-sectional study of Saudi Arabian dermatologists and rheumatologists and patients with psoriasis or PsA was conducted. Questionnaire data were collect-ed from 31 dermatologists, 34 rheumatologists, 90 patients with psoriasis, and 98 patients with PsA and analysed using descriptive statistics. Here, data from rheumatologists and patients with PsA are presented.

Results:

The results revealed similarities and differences in the rheumatologist and patient perspec-tives of PsA. Rheumatologists and patients agreed on the impact that PsA had on patients’ quality of life and that more education was needed. However, they differed on several aspects of disease man-agement. Rheumatologists estimated the time to diagnosis as four times shorter than what patients experienced. Patients accepted their diagnosis more than rheumatologists perceived them to; rheu-matologists perceived patients to be worried or fearful. Patients perceived joint pain as their most severe symptom, in contrast to rheumatologists, who presumed skin appearance was the most severe symptom. Reported input into PsA treatment goals differed significantly. More than half of the rheumatologists reported equal patient-physician input into goal development as opposed to <10% of patients reporting the same. Almost half of patients reported no input into the development of their treatment goals.

Conclusion:

The management of PsA could benefit from enhanced screening and re-evaluation of what PsA outcomes have the most value to patients and rheumatologists. A multidisciplinary approach is recommended with increased patient involvement in disease management and individualized treatment options.
Pitfalls and Opportunities in the Execution of Quality by Design in
Analytical Sciences
Authors: Chaturvedi Prashant K. , Joshi Kalyani H. , Chopra Shruti , Tauro Savita J. , Prajapati Pintu B.
Published: May 2023

Quality by Design (QbD) is a systematic approach integrated with quality risk management.
It uses different design approaches followed by statistical analysis to yield a quality
product. Now, the pharmaceutical industries are intrested in the application of QbD principles to
analytical methods and term it as Analytical QbD (AQbD), which does not essentially mean less
analytical testing; to a particular extent, it means the right analysis at the right time, supported by
science and risk evaluation which ensures that the analytical method can be improved throughout
its life cycle. However, for that, the analyst must have sound knowledge of Analytical Target Profile
(ATP), method performance characteristics, risk assessment, choice of Design of Experiment
(DoE), optimization of Method Operable Design Region (MODR). Some papers have cited the
importance, regulatory flexibility, theoretical aspects, and statistical analysis of AQbD, but only a
few discuss the core issue of gradual implementation of QbD in analytical sciences. For seamless
transition, researchers need clarification on AQbD terminologies, acceptable methods, criteria to
embrace critical quality attributes (CQAs), and standards to judge the adequacy of controls. This
paper summarizes the challenges and solutions for the implementation of AQbD.
VEGFR2 Mimicking Peptide Inhibits the Proliferation of Human Umbilical Vein
Endothelial Cells (Huvecs) by Blocking VEGF
Authors: Ghasemali Samaneh , Barzegar Abolfazl , Farajnia Safar , Rahmati Mohammad , Negahdari Babak , Etemadi Ali , Nazari Atefeh
Published: May 2023

Introduction:

A variety of key human physiological processes rely on angiogenesis, ranging from reproduction
and fetal growth to wound healing and tissue repair. Furthermore, this process significantly contributes to tumor
progression, invasion, and metastasis. As the strongest inducer of angiogenesis, Vascular Endothelial Growth Factor
(VEGF) and its receptor (VEGFR) are targets of therapeutic research for blocking pathological angiogenesis.

Objective:

Preventing the interaction between VEGF and VEGFR2 by a peptide is a promising strategy for developing
antiangiogenic drug candidates. This study was aimed at designing and evaluating VEGF-targeting peptides using in
silico and in vitro techniques.

Methods:

The VEGF binding site of VEGFR2 was considered a basis for peptide design. The interaction of VEGF and
all three peptides derived from VEGFR2 were analyzed using ClusPro tools. In a complex with VEGF, the peptide
with a higher docking score was evaluated to confirm its stability using molecular dynamics (MD) simulation. The
gene coding for the selected peptide was cloned and expressed in E. coli BL21. The bacterial cells were cultured on a
large scale, and the expressed recombinant peptide was purified using Ni-NTA chromatography. Refolding of the
denatured peptide was carried out by the stepwise removal of the denaturant. The reactivity of peptides was confirmed
using western blotting and enzyme-linked immunosorbent assay (ELISA) assays. Finally, the inhibition potency of the
peptide on human umbilical vein endothelial cells was assessed using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-
2H-tetrazolium bromide (MTT) assay

Results:

Among three peptides, the peptide with the best docking pose and the highest affinity for VEGF was selected
for further studies. Then the stability of the peptide was confirmed over the 100 ns MD simulation. After in silico analyses,
the selected peptide was presented for in vitro analysis. Expression of the selected peptide in E. coli BL21 resulted
in a pure peptide with a yield of approximately 200 μg/ml. Analysis by ELISA revealed the high reactivity of the
peptide with VEGF. Western blot analysis confirmed the specific reactivity of selected peptides with VEGF. The MTT
assay revealed the growth inhibitory effect of the peptide on human umbilical vein endothelial cells with an IC50 value
of 247.8 μM.

Conclusion:

In summary, the selected peptide demonstrated a promising inhibitory effect on human umbilical vein
endothelial cells that could be a valuable anti-angiogenic candidate for further assessment. Additionally, these in silico
and in vitro data provide new insights into peptide design and engineering.
Populations using Traditional Home Remedy at Low Risk for COVID-19
Infection
Authors: Kaur Gunpreet , Sharma Ravinder , Bansal Parveen , Gupta Vikas
Published: May 2023

According to the WHO, the Centers for Disease Control and Prevention (CDC), and the
US Food and Drug Administration (FDA), no medications/vaccines are proven to be fully effective
for the treatment/prevention of SARS-CoV-2. All are aware that the virus is acting through the respiratory
system due to lowered immunity of the body and have a devastating effect on the mental
health of populations worldwide. There are very remote chances of developing a drug in a short
span of time, along with tested safety and efficacy. Hence there is a need to find out some home
remedies accessible to all. Here authors propose a food supplement Chaywanprash (ChyPra),
which has been used by populations worldwidfor ages without any established side effects. It also
contains quinine in minute quantities and a number of proven antiviral active components for
SARS CoV. In addition, this formula is recommended in Ayurveda for the maintenance of mental
health and rejuvenation.
Nanotechnology in Environmental Clean-up
Authors: Bansal A.
Published: May 2023

Many technologies like adsorption, absorption, light-mediated catalysis, and various chemical reactions have been implied in the process of remediation of environmental pollutants. Still, environmental pollutants undoubtedly remain the major problem. The nanotechnologies have been explored for its use as capture and degradation of the pollutants. Nanotechnology or nanotech is simply defined as the use of particles or matters at nanoscale ranging from 1 to 100 nanometer. The reactivity of the nanotechnologies depends upon the surface area-to-volume of the nanoparticles utilized for the purpose. The most important factors for effective environmental remediation using nanoparticles are the detailed analysis of the in-situ location, kind of pollutants to be treated, and the decision of specific nanoparticles to be used is very critically important. The following chapter deals with the different kinds of nanotechnologies (Polymeric-based, semiconductor-based, pottery-based, metal-based, carbon-based nanoparticles) utilized for different environmental pollutions. The use of such nanoparticles on the remediation of environmental pollutants such as heavy metals, organic or inorganic matters, chemical herbicides, volatile compounds, aromatic compounds, etc. ubiquitously present in the environment (air, water, and soil). The implications of these nanoparticles are utilized in the environment on living organisms (plants, animals, and humans).
An Overview of the Synthesis of Nanomaterials
Authors: Gavali A.
Published: May 2023

Nanomaterials have distinguished themselves as an outstanding class of materials with at least one dimension falling between 1 and 100 nm. The logical design of nanoparticles allows exceptionally high surface area. It is possible to create nanomaterials with exceptional magnetic, electrical, mechanical, optical, and catalytic capabilities that differ significantly from their bulk counterparts. By carefully regulating the size, shape, synthesis conditions, and appropriate functionalization, the properties of nanomaterials can be tailored to meet specific needs. This chapter highlights the particular characteristics of nanomaterials. We specifically outline and define terminologies associated with nanomaterials. The discussion covers a range of nanomaterial synthesis techniques, including top-down and bottom-up methods.
Processes of Synthesis and Characterization of Silver Nanoparticles with Antimicrobial Action and their Future Prospective
Authors: Palem V.V.
Published: May 2023

The discovery of novel therapies is required due to the stark rise in microbial resistance to currently available conventional antibiotics, which poses a significant obstacle to the effective management of infectious diseases. Nanomaterials between 1 and 100 nm in size have recently become effective antibacterial agents. In particular, several classes of antimicrobial nanomaterials and nanosized carriers for antibiotic delivery have demonstrated their efficacy for treating infectious diseases, including antibiotic-resistant ones, in vitro and in animal models. Because of their high surface area-to-volume ratios, these materials can provide better therapy than conventional drugs and have new mechanical, chemical, electrical, optical, magnetic, electro-optical, and magneto-optical properties. So, nanoparticles have been proven to be fascinating in the fight against bacteria. In this chapter, we will go into detail about the various characteristics of microorganisms and how they differ across each strain. The toxicity mechanisms change depending on the stain. Even the effectiveness of nanomaterials to treat different bacteria and their defence mechanisms varies depending on strains, particularly the composition of cell walls, the makeup of the enzymes, and other factors. As a result, a perspective on nanomaterials in the microbial world, a method to combat drug resistance by tagging antibiotics in nanomaterials, as well as predictions for their future in science.
Biology Method and Mechanism of Antimicrobial Action of Silver Nanoparticles
Authors: Ahmadi N,
Published: May 2023

Silver nanoparticles are synthesized by various processes such as chemical, physical, and biology. However, biology method is the best method between all of them due to safe, eco-friendly, eco-environmental, and sometimes available. The obtained nanoparticle was characterized by TEM, SEM, XRD, and UV. The size and shape of nanoparticles play a main key in enter to bacteria cell. Silver nanoparticle destroyed the cell membrane and entered to the cells. With change silver atoms to silver ions and interaction ions with proteins, enzymes, DNA molecular, ribosomes, and mitochondria lead to inactive them and as result cells die.
In silico Methods for Evaluating the Mode of Interaction of Nanoparticles with Molecular Target
Authors: Mali S.N.
Published: May 2023

An essential tool for structure-based drug design is molecular docking. As mentioned at the outset, docking aims to anticipate the most advantageous ligand-target spatial arrangement and quantify the associated complex free energy. However, precise scoring systems are still difficult to come across. This chapter overviews current molecular docking techniques and their uses in nanostructures.
relationship between fear of missing out, impulsivity toward stress, anxiety, and depression among crypto asset traders in Indonesia
Authors: Susanto Ariel Nugroho , Diniari Ni Ketut Sri , Wahyuni Anak Ayu Sri , Putra I Wayan Gede Artawan Eka , Kurniawan Lely Setyawati , Ariani Ni Ketut Putri , Wardani Ida Aju Kusuma
Published: May 2023

The COVID-19 pandemic has had a significant impact on every aspect of human life, from health issues to economic problems, where high unemployment rates and many businesses experience stagnation. When someone experiences financial anxiety, it will certainly affect their financial behavior. In this case, trading crypto assets is very attractive to investors because asset value increases can be achieved quickly, but asset value decreases can also occur just as quickly. The mental impact that occurs from this phenomenon needs to be known. Analytical observational research with a cross-sectional study design on 207 subjects who have crypto accounts and are trading crypto assets. The sample was obtained through voluntary sampling via social media and crypto communities throughout Indonesia. Out of 207 research subjects, there were 88.4% of crypto asset traders experienced FoMO, 90.33% experienced impulsivity, and there was a relationship between FoMO and impulsivity (p=0.001, cc=0.228), FoMO and stress (p=0.000, cc=0.289), FoMO and anxiety (p=0.040, cc=0.143), FoMO and depression (p=0.000, cc=0.218), impulsivity and stress (p=0.000, cc=0.303), impulsivity and anxiety (p=0.000, cc=0.352), and impulsivity and depression (p=0.000, cc=0.360). The reliability test of the FoMO questionnaire was (? cronbach=0.504), validity test (KMO=0.599, commonalities of each question item >0.50).
Influencia de la actividad física en el comportamiento y conducta en alumnado con trastorno del espectro autista en educación primaria: una revisión sistemática
Authors: Fernández-Díaz Marta , Rodríguez-Fernández Jose Eugenio , López-García Sergio , Rico-Díaz Javier
Published: May 2023

La evidencia científica recalca que la inactividad física por parte de los niños y niñas con trastorno del espectro autista (TEA) es una realidad global que puede repercutir gravemente en su desarrollo integral. Por ello, analizar los efectos positivos de la práctica regular de actividad física resulta fundamental de cara al posterior diseño y puesta en práctica de intervenciones y programas destinados a su promoción. Así, el objetivo de la presente revisión fue identificar, resumir y analizar la influencia de la actividad física en el comportamiento y conducta del alumnado de educación primaria (entre 5 y 12 años) diagnosticados con TEA. Para ello, siguiendo las pautas de la declaración PRISMA, se buscaron artículos científicos en inglés y español en tres bases de datos: PsycInfo, Scopus y Web of Science. De los 1.226 estudios identificados, 10 cumplieron los criterios de inclusión previamente establecidos. Después de su análisis, se comprobó que todos los resultados apuntan a la contribución positiva de la actividad física sobre el comportamiento, conducta y desarrollo personal de estos niños y niñas, principalmente en lo relativo a las habilidades sociales, atención y autorregulación. En este sentido, los programas basados en actividades de intensidad moderada-vigorosa de breve duración y desarrollados juntamente con otros sujetos son los que destacan a la hora de contribuir positivamente sobre el comportamiento del alumnado con TEA.
The formations of bare-stem, closed compound nouns in English
Authors: Purinanda Faza Hannan
Published: May 2023

Compounding is one of the most productive type of word formation processes in English and it is arguably the most controversial one in terms of its linguistic analysis. This paper aims at describing the formations of bare-stem, closed compound noun in English. This is a descriptive qualitative research, conducted by subclassifying the compound nouns into formations that are based on the word class of each element that constructs the compound. The result of the study shows that, firstly, there are thirteen formations from which bare-stem closed compound nouns can be constructed. Secondly, nouns, verbs, and adjectives can combine rather freely in compounding despite the patterns are not equally productive. This study also highlights the constraints in subclassifying compounds, which is a prevalent issue that has been widely recognized by scholars. Keywords: English morphology, compounding, noun, word formation
Colorful God and Goddess as the representation of modern Greek mythology in Lore Olympus
Authors: Afidah Ari , Agustina Mia Fitria , Trisnawati Ririn Kurnia
Published: May 2023

Lore Olympus is a webtoon that uses color as a  sign for each of its characters. In interpreting symbols,  this study applies Peirce’s semiotic theory related to representamen or signs,  objects, and interpretants. This study aims to describe the meaning of colors in the six characters of gods and goddesses in Lore Olympus. This research used qualitative methods. It was found that the colors in the six characters of gods and goddesses had a general and specific meaning that were used to convey their personalities. The blue color symbolizes  Hades’s cold personality, the pink color represents  Persephone’s kindness, the green color represents Demeter’s overprotective personality, the purple color represents  Zeus as the king of the gods,  the yellow color symbolizes  Hera’s cheerful and jealousy, and lastly, the red color symbolizes  Hermes’s extroverted and passionate personality. Finally, it is hoped that this study can create more insight into color as an aspect that can affect personality.Keywords: colors, Lore  Olympus, semiotic, symbol
Exploring theme-based tasks using familiar topics in promoting secondary learners’ speaking and writing skills
Authors: Maming Khadijah , Yassi Abdul Hakim , Saleh Noer Jihad , Jubhari Ria Rosdiana
Published: May 2023

This study attempted to explore theme-based tasks using familiar topics in promoting learners’ productive skills namely speaking and writing skill at Indonesian secondary school context. This study was pre-experimental research undertaken in five junior secondary schools. There are eighty-six students participated as research respondents. Test and observation checklist used as research instruments. The research findings reported the mean scores on productive skills acquired by the students were getting improvement from pretest to posttest. In speaking skill, the mean score of posttest was 58.95 was better than 40.76 in pretest mean score. Similarly, the mean score of writing posttest was 76.85 was higher than 63.86 in pretest. It indicated that the progress of students’ score in speaking skill was 18.19 and the progress of students’ score in writing skill was 12.99. Although the gain scores in speaking and writing tests are slightly different, but it can be stated the students’ productive skills promote significantly. Then, the result of t-test value on students’ speaking skill posttest and pretest was 18.37, while the t-test value on students’ writing skill posttest and pretest was 16.42. The both of these values are higher than t-table value. It indicated there is a significant difference between pretest and posttest for both tests. The students’ English productive skills after treated by implementation of theme-based tasks were categorized as good achievement. Additionally, the majority of students’ learning activities in English class are categorized as good category. They participated positively in English learning activities in terms of good attention, high seriousness, and activeness in group work.Keywords: Familiar Topics, Improvement, Productive Language, Theme-Based Tasks
Properti Psikometri Skala Online Friendship pada Siswa Sekolah Menengah Pertama
Authors: Ratri Andrea Prita Purnama , Helmi Avin Fadilla
Published: May 2023

Perkembangan teknologi informasi dan komunikasi memungkinkan kita untuk membentuk pertemanan di dunia nyata (offline friendship) dan juga di dunia virtual (online friendship). Penelitian tentang online friendship belum banyak berkembang di Indonesia. Konsep dan skala online friendship telah dikembangkan dengan mahasiswa sebagai subjek uji coba. Skala tersebut juga telah diuji untuk diterapkan pada siswa SMA. Tujuan dari penelitian ini adalah untuk menguji apakah skala online friendship memiliki properti psikometri yang baik ketika diterapkan pada siswa SMP. Terdapat 248 subjek dalam penelitian ini. Menggunakan confirmatory factor analysis (CFA), hasil analisis model telah menemui kriteria kesesuaian untuk validitas konstruk, termasuk CFI, TLI dan RMSEA. Koefisien Cronbach alpha juga baik dan memuaskan. Dari hasil tersebut maka skala online friendship tidak hanya dapat diaplikasikan pada dewasa muda dan siswa SMA, tetapi juga pada siswa SMP.
An Adaptation and Validation of The Indonesian Version of The Bullying and Cyberbullying Scale for Adolescents
Authors: Santhoso Fauzan Heru , Marvianto Ramadhan Dwi , Purwanto Budi
Published: May 2023

Measurement of bullying behaviour in the Indonesian context has not received much attention let alone a comprehensive measurement of bullying which includes all forms of bullying and the role of individual both as perpetrator and victim. The Bullying and Cyberbullying Scale for Adolescents (BCS-A) developed by Thomas and his colleagues has comprehensive coverage and measures individuals either as perpetrator or victim. The purpose of this study was to adapt and test the psychometric properties of the Indonesian version of the BCS-A scale. This research included two stages: the first stage was adapting the scale from English to Bahasa Indonesia using Beaton’s guideline, while the second stage was validating the Indonesian version of the BCS-A scale. The subjects of this study were 330 high school students in the Special Region of Yogyakarta who participated in the study by completing the BCS-A questionnaire through online surveys. The result of the adaptation stage, that is the Indonesian version of the BCS-A scale, was supported by an evidence of validity based on subject response. At the validation stage, the Indonesian version of the BCS-A was found to have a good validity based on internal structure and satisfactory reliability.
Perilaku Kerja Inovatif Pada Perusahaan Rintisan: Peran Kepemimpinan Inklusif, Keamanan Psikologis, dan Pemberdayaan Psikologis
Authors: Yusuf Mayang Pramudita , Etikariena Arum
Published: May 2023

Perusahaan rintisan atau startup merupakan jenis perusahaan yang memiliki pertumbuhan pesat di Indonesia. Akan tetapi saat ini kondisi perkembangan perusahaan rintisan di Indonesia sedang berada pada kondisi yang mengkhawatirkan dan banyak menghadapi ancaman kegagalan. Oleh karena peran besar perusahaan rintisan sebagai penunjang pertumbuhan bisnis di Indonesia, penelitian mengenai perilaku karyawan perusahaan rintisan menjadi penting dilakukan untuk mendukung keberlangsungan organisasi. Diduga bahwa ketika seorang karyawan merasakan perasaan aman dan berdaya, hal tersebut dapat membantunya menampilkan suatu perilaku inovatif. Penelitian ini bertujuan untuk melihat peran keamanan psikologis dan pemberdayaan psikologis sebagai mediator simultan dari hubungan antara kepemimpinan inklusif dengan perilaku kerja inovatif. Metode penelitian menggunakan metode survei secara daring hingga menghasilkan sebanyak 117 orang responden, dengan kriteria karyawan perusahaan rintisan, memiliki masa kerja minimal 6 bulan dan berlatar pendidikan minimal SMA. Alat ukur penelitian ini adalah Skala Kepemimpinan Inklusif, Psychological Capital Scale, Skala Pemberdayaan Psikologis dan Skala Perilaku Kerja Inovatif. Pengolahan data menggunakan analisis regresi mediasi paralel berganda dengan aplikasi SPSS 25 PROCESS. Hasil analisis menunjukkan bahwa keamanan psikologis dan pemberdayaan psikologis tidak memediasi hubungan antara kepemimpinan inklusif dan perilaku kerja inovatif secara simultan, melainkan pemberdayaan psikologis yang berperan sebagai mediator hubungan tersebut dalam keadaan keamanan psikologis terkontrol.
Dependensi Positif Antara Indonesia-Amerika Serikat Dalam Penguatan Ketahanan Militer Pasca Embargo Militer Tahun 2005
Authors: Hikmawati Andiana
Published: May 2023

ABSTRAKKetahanan militer merupakan bagian integral dari ketahanan nasional yang mencerminkan sinergi holistik dari paradigma 7 K yakni keuletan, ketangguhan, kemampuan, kekuatan, kepercayaan diri, kewibawaan, dan kedaulatan negara. Pemahaman mengenai paradigma ini menjadi tujuan untuk dapat menghadapi berbagai kemungkinan yang membahayakan kedaulatan, keutuhan wilayah, serta keselamatan bangsa dan negara. Penelitian ini bertujuan untuk memahami indikator-indikator apa saja yang dapat menjelaskan dan mendukung kerjasama saling menguntungkan antar negara dari pendekatan keamanan nasional dikategorikan sebagai dependensi positif menggunakan analisis teori dependensi modern.Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan pola pendekatan eksplanasi. Metode pengumpulan data yang digunakan adalah teknik triangulasi dari studi kepustakaan dan dokumen, kemudian dilakukan analisis untuk menemukan validitas dari data-data tersebut.Hasil penelitian menyimpulkan bahwa dalam pemberdayaan ketahanan militer Indonesia yang salah satu elemennya alutsista mencerminkan dependensi positif antar dua indikator demi terciptanya hubungan dinamis antara Indonesia dengan Amerika Serikat dan peningkatan efisiensi produktivitas didasarkan kepada analisis variabel historis struktural, faktor internal dan eksternal, serta hubungan sebab-akibat antara negara penerima dengan negara penyuplai alutsista militer.
Peningkatan Indeks Pembangunan Manusia Regional Dan Implikasinya Terhadap Ketahanan Ekonomi Wilayah
Authors: Fahrurrozi Muh , Mohzana Mohzana , Haritani Hartini , Yunitasari Dukha , Basri Hasan
Published: May 2023

ABSTRAKPembangunan ekonomi regional berhasil menjelaskan bagaimana hal tersebut secara terukur menetapkan indeks pembangunan manusia (IPM) di suatu daerah tertentu. Faktor-faktor termasuk harapan hidup, pendidikan, dan pengeluaran mendukung pengukuran tersebut. Namun penelitian ini menyelidiki faktor-faktor yang berpengaruh terhadap progresivitas indeks pembangunan manusia di Kabupaten Lombok Timur dan mencari strategi meminimalkan kendala-kendala tersebut serta menjabarkan hubungan antara IPM dengan pembangunan ekonomi regional.Kami menyebarkan survei dengan kuesioner, wawancara mendalam, dan dokumen sebagai instrumen pengumpulan data. Dari keterbatasan data, digunakan metode simulasi Monte Carlo untuk mengolah data dari tahun 2015 sampai dengan tahun 2019.Hasil penelitian menunjukkan peningkatan indeks pembangunan manusia di Lombok Timur di atas rata-rata pertumbuhan IPM di provinsi Nusa Tenggara Barat kecuali Kabupaten Lombok Tengah. Uji statistik dengan menggunakan data simulasi Monte Carlo menunjukkan keempat variabel ekonomi dan pembentuk IPM; Harapan Hidup (HH), harapan lama sekolah (HLS), rata-rata lama sekolah (HLS), dan Pengeluaran, berpengaruh positif terhadap human development index Lombok Timur. Selanjutnya keempat indikator tersebut menyimpulkan bahwa Harapan Tahun Sekolah dan Pengeluaran untuk kebutuhan secara ekonomi merupakan indikator kontribusi rendah terhadap progresivitas IPM. Upaya menurunkan angka putus sekolah untuk meningkatkan progresivitas HLS di Lombok Timur juga didiskusikan.
Can Translation Evolve? Translation Errors of Chinese-to-English Tourism Promotional Materials from Eco-Translatology Perspectives
Authors: Lee Tony
Published: May 2023

Chinese tourism has been revised since the Covid-19 quarantine policy was abolished. Tourism institutions are going to continue to attract inbound and international tourists by using tourism promotional materials. Tourism commonly seems like an intercultural communication process. Therefore, translating Chinese tourism promotional materials into English with good quality should be highlighted, such as leaflets, brochures, websites, etc. However, while promotional discourse in the tourism industry has been developed for many years, previous studies indicated that some English translations of tourism promotional materials fail to achieve very promotional efficacy, or worse, leave a negative impression on international tourists. This paper aims to focus on analyzing the translation errors of tourism promotional materials and improve them from Eco-translatology perspective, namely Three-dimensional Transformation. Finally, the findings argue that the essential reason for the translation errors is ascribed to the lack of persuasive tourism skills and the non-consideration of Anglophone tourists’ characteristics.
Emotions of L2 Learners in Different Contexts and Modes
Authors: Waterman Jill , Figueiredo Eduardo Henrique Diniz de , Finardi Kyria Rebeca
Published: May 2023

Considering the role of emotions in L2 use/learning and in different contexts and modes (online, hybrid, in-person), the present study aims to analyze and discuss the role of different emotions that emerged in those three contexts and modes. With that aim, we draw on two different sets of data produced as part of larger studies to discuss the role of emotions in online, in-person and hybrid settings in Brazil, Spain, the UK and the USA. Overall, results point to the need to address native-speakerism in L2 education as well as unpleasant feelings related to online learning and/or to abrupt transitions in learning modes.
Reflexiones sobre las competencias transversales en la educación superior
Authors:   Corporación Universitaria Remington, Calle Álvarez Gerzon Yair , Toro Espinosa Clemencia ,   Corporación Universitaria Remington, Arango Navarro Delio David ,   Corporación Universitaria Remington, Ocampo Zapata Diego Alejandro ,   Corporación Universitaria Remington, Zuluaga Arias Edwin Alberto ,   Corporación Universitaria Remington, Zapata Muriel Fernando Antonio ,   Corporación Universitaria Remington, Quintero García Gloria Cecilia ,   Corporación Universitaria Remington, Calle Vélez Gonzalo ,   Corporación Universitaria Remington, Mazo Álvarez Héctor Mauricio ,   Corporación Universitaria Remington, Agudelo Galeano Juan Jacobo ,   Corporación Universitaria Remington, Villamil Gallego María Mercedes ,   Corporación Universitaria Remington, García Toro Maritza ,   Corporación Universitaria Remington, Castellanos Meneses Reiner ,   Corporación Universitaria Remington, Guevara Calume Roberto Carlos ,   Corporación Universitaria Remington, Fuertes Arroyo Yolfaris Naidit ,   Corporación Universitaria Remington
Published: May 2023

La formación de los profesionales que requiere la sociedad implica la adquisición de saberes disciplinares, al mismo tiempo que el desarrollo de competencias transversales que estén orientadas a las dimensiones humanas, sociales, políticas, culturales y científicas; por ello, el presente libro se centra en las reflexiones y las discusiones sobre las competencias de lectura, escritura, lengua extranjera, razonamiento cuantitativo, investigación, ciudadanas, comportamentales en la educación superior; además, de la formación del pensador crítico como responsabilidad social de la universidad.
Object Detection in Underwater Using Deep Learning Techniques
Authors: Trinadh Mr. R. , Deepika M. Chaitanya , Manojna M. , Lavanya K. Sindhu , Deep H. Pranay , Sri K. Ramya
Published: May 2023

Abstract: Based on the architecture of convolutional neural networks, a model is suggested. The model was created using underwater photography. YOLO is used in this method to locate items underwater. An autonomous underwater item-detecting system is necessary to reduce the cost of underwater inspection. An autonomous underwater item detection system is necessary to reduce the cost of underwater inspection. The main goal of this project is to create a model that can identify and recognize objects. This can be done using deep learning techniques. Object detection has two parts. One is object classification and the other is object localization. Classifying objects into predefined classes classifies objects by location under object localization. Our goal is to test the input images after the system is trained by matching the objects in the training dataset to the training dataset. I suggested using the YOLO model to find objects in images. YOLO is a method that enables real-time object recognition using neural networks. You Only Look Once is known by the acronym YOLO. The precision and speed of this algorithm are what make it so popular. MATLAB will be used to implement YOLO. With MATLAB, there is a deep learning toolset.
Development of a Human Airbag System for Fall Protection
Authors: Martin Anthony , MS Manoj , S Vignesh , K Praveen Kumar
Published: May 2023

Abstract: This paper describes the development of a human airbag system which is designed to reduce the impact force from falls. A Micro Inertial Measurement Unit (µIMU), based on MEMS accelerometers and gyro sensors is developed as the motion sensing part of the system. A recognition algorithm is used for real-time fall determination. With the algorithm, a microcontroller integrated with the µIMU can discriminate falling-down motion from normal human motions and trigger an airbag system when a fall occurs. Our airbag system is designed to have fast response with moderate input pressure, i.e., the experimental response time is less than 0.3 second under 0.4MPa. In addition, we present our progress on using Support Vector Machine (SVM) training together with the µIMU to better distinguish falling and normal motions. Experimental results show that selected eigenvector sets generated from 200 experimental data sets can be accurately separated into falling and other motions.
Exploring the Efficacy of Machine Learning Algorithms for Diabetes Prediction: A Comparative Prediction
Authors: Lal Devi , s Aswathy v
Published: May 2023

Abstract: We know that diabetes is one such disease that affects millions of people worldwide, so its early detection and accurate prediction can help in the timely intervention and management of the disease. The main objective of this project is to do a comparative analysis of the performances of the different machine learning algorithms like Random Forest, Support Vector Machine(SVM), K-Nearest Neighbors(KNN), and a Hybrid Random Forest in predicting diabetes and for this the various patient attributes like age, BMI, glucose level, blood pressure, etc are included in the dataset for training and testing the models and various evaluation metrics like accuracy, precision, recall, and F1-score of the different algorithms are used to do the comparative analysis. The Hybrid Random Forest algorithm is found to outperform the other considered algorithms with an accuracy of 90.4%. Feature selection is also involved in the study to identify the most important variables that would help in effective prediction of diabetes and the overall analysis demonstrates that glucose level, BMI, and age are the top variables that are considered to be very important for diabetes prediction. So in healthcare, identifying the risk of developing diabetes at an earlier stage and taking measures for its prevention and helping many patients can be a very beneficial findings of this study
Design of Power Efficient Posit Multiplier using Compressor Based Adder
Authors: Senathipathi Mr. N. , Rasiha R. , Sadhurya R. , Sangeetha S.
Published: May 2023

Abstract: Posit number system has been used in many applications, especially the deep learning. Because of how well its nonuniform number distribution aligns with deep learning's data distribution, deep learning's training process can be sped up. The hardware multiplier is typically built with the widest mantissa bit-width available due to the flexibility of posit numbers' bitwidth. Such multiplier designs consume a lot of power since the mantissa bit-width is not necessarily the maximum value. This is especially true when the mantissa bit-width is tiny. The mantissa multiplier is still built to have the widest bit-width feasible, but it is broken into numerous smaller multipliers. At run-time, just the necessary tiny multipliers are turned on. The regime bitwidth, which can be used to determine the mantissa bit-width, controls those smaller multipliers. This design technique is applied to 8-bit, 16-bit, and 32-bit posit formats.
Image Detection and Real Time Object Detection
Authors: Lakhotiya Rushikesh , Chavan Mayuresh , Divate Satwik , Pande Soham
Published: May 2023

Abstract: Object detection is a crucial task in computer vision with various practical applications, including surveillance, autonomous vehicles, and robotics. The YOLO (You Only Look Once) algorithm is a popular real-time object detection algorithm that has gained significant attention due to its high accuracy and speed. This algorithm processes the entire image at once and predicts bounding boxes and class probabilities for identified objects, making it ideal for time-sensitive applications. YOLO has evolved through various versions, with YOLOv5 being the latest and most advanced version that employs a feature pyramid network (FPN) and anchor boxes to improve its object detection accuracy. In this project, we aim to implement YOLOv5 for real-time object detection and image detection tasks. We will train the model on a suitable dataset and evaluate its performance on various benchmarks, comparing it with other advanced object detection algorithms. The project's outcome will provide a robust and efficient solution for real-time object detection that can aid quick decision-making in identifying object categories and their respective positions. It has practical applications in surveillance, automated driving, and robotics.