bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept
Authors: Huang Cheng-Chia , Chang Che-Cheng , Chang Chiao-Ming , Tsai Ming-Han 
Published: October 2023

Abstract
Sediment concentration (SC) monitoring has always been a pressing issue in water resource management, as many existing instruments still face challenges in accurately measuring due to environmental factors and instrument limitations. A robust technology is worth presenting to apply in the field site. This study firstly uses mean-absolute-error (MAE), root-mean-square error (RMSE), correlation coefficient (CC), and Nash–Sutcliffe efficiency coefficient (NSE) to describe the performance of the proposed convolutional neural network (CNN). Moreover, adapting the ensemble learning concept to compare the multiple machine learning (ML) approaches, the CNN presents the highest predicted accuracy, 91%, better than SVM (79%), VGG19 (63%) and ResNet50 (35%). As a result, the proposed CNN framework can appropriately apply the monitoring needs. The primary purpose is to develop a simple, accurate, and stable SC monitoring technology. Instead of some complex architectures, a simple and small neural network is adopted to implement real-time application (RTA). Via our design, such a traditional but critical issue can be improved to a new state. For example, by incorporating the concept of the Internet of Things (IoT) with our design, the distributed computing system for large-scale environmental monitoring can be realized quickly and easily.
Exosomal Non-coding RNAs: A New Approach to Melanoma Diagnosis and Therapeutic Strategy
Authors: Liu Jie , Hu Xiaoping , Xin Wenqiang , Wang Xianbin 
Published: October 2023

:
Malignant melanoma (MM) is a highly aggressive cancer with a poor prognosis.
Currently, although a variety of therapies are available for treating melanoma, MM
is still a serious threat to the patient’s life due to numerous factors, such as the recurrence
of tumors, the emergence of drug resistance, and the lack of effective therapeutic
agents. Exosomes are biologically active lipid-bilayer extracellular vesicles secreted by
diverse cell types that mediate intercellular signal communication. Studies found that exosomes
are involved in cancer by carrying multiple bioactive molecules, including non--
coding RNAs (ncRNAs). The ncRNAs have been reported to play an important role in
regulating proliferation, angiogenesis, immune regulation, invasion, metastasis, and treatment
resistance of tumors. However, the functional role of exosomal ncRNAs in MM remains
unknown. Therefore, this review summarizes the current state of melanoma diagnosis,
treatment, and the application of exosomal ncRNAs in MM patients, which may
provide new insights into the mechanisms involved in melanoma progression and serve
as biomarkers for diagnosis and therapeutic targets.
Fabrication and In vitro Evaluation of Carbopol/Polyvinyl Alcohol-based
pH-sensitive Hydrogels for Controlled Drug Delivery
Authors: Suhail Muhammad , Chiu I-Hui , Liu Jia-Yu , Ullah Hamid , Lin I-Ling , Minhas Muhammad Usman , Tsai Ming-Jun , Wu Pao-Chu 
Published: October 2023

Background::
Diclofenac sodium has a short half-life (about 1.5 hours), requiring repeated administration,
and as a result, serious complications, such as GI bleeding, peptic ulcer, and kidney and liver dysfunction,
are generated. Hence, a sustained/controlled drug delivery system is needed to overcome the complications
caused by the administration of diclofenac sodium.

Aims::
This study aimed to fabricate and evaluate carbopol/polyvinyl alcohol-based pH-sensitive hydrogels for
controlled drug delivery.

Objective::
pH-sensitive carbopol/polyvinyl alcohol graft-poly(acrylic acid) hydrogels (Cp/PVA-g-PAa hydrogels)
were developed for the controlled delivery of diclofenac sodium.

Methods::
The combination of carbopol/polyvinyl alcohol, acrylic acid, and ethylene glycol dimethacrylate
was used as polymer, monomer, and cross-linker, respectively. The effects of the formulation’s composition
on porosity, swelling index, and release pattern of diclofenac sodium from the developed hydrogels were investigated.

Results::
An increase in porosity and swelling was observed with the increasing amounts of carbopol and
acrylic acid, whereas polyvinyl alcohol showed the opposite effect. Due to the formation of a highly viscous
system, the drug release decreased with the increasing concentrations of carbopol and polyvinyl alcohol while
increased with increasing acrylic acid concentration. The pH-responsive properties of the fabricated hydrogels
were demonstrated by dynamic swelling and drug release studies at three different pH values. Higher dynamic
swelling and diclofenac sodium (model drug) release were found at high pH values compared to low pH values,
i.e., pH 7.4 > 4.6 > 1.2, respectively. Cytotoxicity studies reported no toxic effect of the prepared hydrogels,
thus indicating that the prepared hydrogels are safe to be used on clinical basis.

Conclusion::
The prepared carbopol/polyvinyl alcohol crosslinked hydrogel can be used as a promising carrier
for the controlled release of drugs.
Bioinformatic Analysis to Identify and Cellular Experiments to Validate
Autophagy-related Genes in Psoriasis
Authors: Bai Ruimin , Wu Shaobo , Liu Xinyi , Xing Zixuan , Luo Ruiting , Zhang Wen , Liu Meng , Ma Xinyu , Lei Hao , Wang Ning , Zheng Yan 
Published: October 2023

Purpose:
To explore differentially expressed genes (DEGs) associated with autophagy in
psoriasis using bioinformatics analysis and verify them in an M5-induced psoriatic cell model.

Methods:
We obtained gene expression microarray data from patients with psoriasis and normal
skin tissues from the dataset GSE78097 of the NCBI Gene Expression Omnibus (GEO) database.
R software was used to identify DEGs associated with autophagy in psoriasis. Proteinprotein
interaction (PPI) and correlation analyses were used to show interactions between certain
genes. Their potential biological roles were determined using Gene Ontology (GO) and Kyoto
Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, all the DEGs associated
with autophagy in psoriasis were validated in a psoriatic cell model by RT-qPCR.

Results:
28 DEGs associated with autophagy were identified. These genes were linked to one
another, and the most connected hub gene was VEGFA, according to PPI analysis. GO and
KEGG enrichment analyses revealed various biological pathways associated with autophagy.
The RT-qPCR findings of the expression of 18 genes in the psoriatic cell model confirmed
the bioinformatics analysis results. The five genes with the most significant differences were
IL24, CCL2, NAMPT, PPP1R15A, and SPHK1.

Conclusion:
We identified DEGs associated with autophagy in patients with psoriasis. IL24,
CCL2, NAMPT, PPP1R15A, and SPHK1 were identified as important genes that may influence
psoriasis development through the regulation of autophagy.
Deep Learning-based Automated Knee Joint Localization in Radiographic
Images Using Faster R-CNN
Authors: Sivakumari T. , Vani R. 
Published: October 2023

Background::
Osteoarthritis is a condition that poses a risk to the knee joint, resulting in pain and impaired function. However, traditional knee X-ray evaluations
using the Kellgren-Lawrence grading system have proven to be inefficient. These evaluations are subjective, time-consuming, and labor-intensive,
particularly in busy hospital settings.

Objective::
The objective of this research was to present a deep learning-based approach that can detect knee joint regions in medical images. By addressing
the limitations of traditional methods, the aim was to develop a more efficient and automated approach for knee joint analysis.

Methods::
The proposed method utilizes the Faster R-CNN model, which consists of a region proposal network (RPN) and Fast R-CNN. The RPN generates
region proposals that potentially contain knee joint regions, while the Fast R-CNN network categorizes and extracts features from these proposals.
To train the model, a dataset of knee joint images was employed. The performance of the model was evaluated using metrics, such as accuracy,
precision, recall, F1-score, and mean IoU (Intersection Over Union).

Results::
The results demonstrated the high accuracy of the proposed method in detecting knee joint regions. The model achieved a mean IoU of 94.5,
indicating a strong overlap between the predicted and ground truth regions. These findings highlight the potential of deep learning-based
approaches in automating medical image analysis, specifically in the diagnosis and management of knee joint disorders.

Conclusion::
This study emphasizes the significance of leveraging advanced technologies, such as deep learning, in medical imaging. By developing more
efficient and accurate methods for identifying knee joint regions in medical images, it becomes feasible to enhance patient outcomes and healthcare
delivery. The proposed deep learning-based approach showcases promising results, paving the way for further advancements in the field of medical
image analysis and contributing to improved diagnostic capabilities for knee joint disorders.
Synthesis of Piperazine-containing Derivatives and their Antimicrobial,
Antimycobacterial, Antimalarial and Antioxidant Activities
Authors: Patel Navin B. , Maisuria Pratik N. , Gujarati Akash V. , Patel Divyesh K. 
Published: October 2023

Background:
One of the most crucial heterocycles is piperazine for the creation of
novel medication candidates with a variety of medicinal applications. The piperazine moiety is a
cyclic compound with four carbon atoms and two nitrogen atoms in positions 1 and 4.

Objective:
The objective of this studty is the development of 1-((3,4-dimethoxyphenyl) (substitutedphenyl) substituted -piperazine (A1-A10) analogs via the one-pot synthesis method and evaluation for their preliminary antibacterial, antifungal, antimycobacterial, antioxidant, and antimalarial activity.

Methods:
Desired piperazine derivatives were obtained in a single step reaction using piperazine,
aldehydes, and boronic acid derivatives. The structures of all newly synthesized compounds have
been established based on analytical and spectral data. An in silico molecular docking study was
carried out for the series.

Results:
The spectral data using IR, 1
H NMR, and 13C NMR and mass spectra confirmed the
structure of the synthesized compounds. Compounds A6 and A10 were found to be the most promising agents for antimalarial activity. A1-A10 showed a higher IC50 value and found less antioxidant activity. Some of the compounds showed higher potency when compared to the standard
drugs in this antimicrobial study.

Conclusion:
The structure-activity study showed that changes in substituents either on aldehyde,
piperazine, or boronic acid derivatives can lead to potential active compounds. These facts make
the compounds interesting candidates for further evaluation of their efficacy in the treatment of
microbial, tubercular and malarial diseases.
A Brief Review of Flourishing Among Adolescents and Young
Adults with Mood and Anxiety Disorders
Authors: Lhaksampa Tenzin C. , Kelly-Hedrick Margot , Suchanek Melissa , Chisolm Margaret S. , Miller Leslie R. 
Published: October 2023

Abstract:
The onset of common mental illnesses, such as mood and anxiety
disorders, often begins in adolescence and young adulthood. While traditional
clinical care focuses on reducing psychiatric symptoms, it is important to
simultaneously promote positive psychological states (i.e., flourishing). In this
brief review, we synthesize the published literature on flourishing among
adolescents and young adults with mood and anxiety disorders. Using
VanderWeele’s flourishing model domains, we developed search terms that we
applied to PubMed, PsycINFO, and Google Scholar databases. We identified four
articles that met the inclusion criteria for this review. Each study identified in this
review used distinct flourishing scales to examine various flourishing domains.
Overall, incorporating techniques to promote positive mental health in clinical
care decreased psychiatric symptoms and increased flourishing. More research is
needed to examine how incorporating flourishing into clinical care can reduce
suffering and promote positive mental health in patients.
Impacts of Cavity Thickness and Insulating Material on Dielectric Modulated Trench Junction-less Double Gate Field Effect Transistor for Biosensing Applications
Authors: Bhattacherjee Swagata , Dhar Palasri , Roy Sunipa 
Published: October 2023

Introduction:
This work represents the influence of gate dielectric, and the
nano-cavity gap of a dielectric modulated trench gate Junction-less Double Gate Field
Effect Transistor (JL-DGFET) on the different performance indicators is investigated
considering the Low-Frequency Noise.

Methods:
It is noted that the gate dielectric and the nanogap, both parameters, have a
substantial influence on the sensing capacity and performance of noise of the device.

Results:
A double gate suitable dielectric material and cavity thickness can effectively
improve the biosensor’s sensitivity with a minimum amount of noise.

Conclusion:
The sensitivity is found to increase up to 9.5 for dielectric constant, k =
3.57 and 6.5 for dielectric constant, k = 2.1.
INOVASI PENGOLAHAN RUMPUT LAUT MENJADI AGAR-AGAR DI DESA BANDAR DALAM, KECAMATAN PULAU PISANG, KABUPATEN PESISIR BARAT, PROVINSI LAMPUNG
Authors: Master Jani , Muhammad Daffa , Titis Ayuningtyas Nastasya , Tarenka Gustiti , Kharisma Putri Anggita , Fintasari Saragih Jawak Cindi , Rizki Adinda Aryanti 
Published: October 2023

Pulau Pisang adalah salah satu pulau paling barat yang ada di Provinsi Lampung yang langsung menghadap ke Samudra Hindia. Pulau Pisang yang merupakan wilayah satu kecamatan memiliki enam desa, yaitu Desa Labuhan, Desa Pasar, Desa Sukadana, Desa Suka Marga, Desa Pekon Lok, dan Desa Bandar Dalam. Pulau Pisang memiliki potensi sumber daya alam yang besar, salah satunya adalah rumput laut. Berdasarkan hal tersebut maka kegiatan ini bertujuan untuk memberikan inovasi baru pembuatan agar-agar rumput laut mulai dari rasa dan juga bentuk yang lebih bervariasi. Kegiatan diawali dengan survey pemanfaatan sumber daya alam oleh masyarakat, lalu dilanjutkan dengan penyuluhan dan praktik pengolahan rumput laut. Berdasarkan hasil kegiatan yang telah dilakukan dapat disimpulkan bahwa sentuhan inovasi pengolahan rumput laut menjadi agar-agar dapat diterima oleh masyarakat, kegiatan ini juga dapat menimbulkan kesadaran masyarakat untuk lebih peka terhadap pemanfaatan sumber daya alam yang ada sehingga dapat menjadi peluang untuk peningkatan penghasilan keluarga.
The Effect of Peer Mentoring on Acceptance of and Intention to Use Web 2.0 Tools
Authors: RAMAZANOĞLU Mehmet , AKIN Tayfun , SOLAK Mehmet Şahin 
Published: October 2023

Purpose: This study seeks to shed light on the effect of peer mentoring on the acceptance of and intention to use Web 2.0 tools.
Design/Methodology/Approach: In the study, the static-group comparison pretest-posttest design, which falls into the category of weak experimental designs, was applied. The study group consisted of 165 (Experiment=76, Control=89) pre-service teachers continuing their second-year education in different departments of a public university in the 2021-2022 academic year. The implementation period of the study lasted for eight weeks and a total of 16 hours. In the study, the "unified theory of acceptance and use of technology model-2 / UTAUT2" scale was used as a data collection tool. The SPSS 26 package program was employed to analyse the data obtained in theß study. T-test, one-way analysis of variance (ANOVA), and correlational t- test were used in the analyses.
Findings: İt was concluded that the acceptance of and intention to use Web 2.0 tools among the- pre-service teachers receiving peer mentoring and teacher guidance were positively affected with a higher rate of effect for pre-service teachers receiving peer mentoring. Results based on gender revealed that the effect of peer mentoring on the acceptance of and intention to use technology among pre-service teachers was in favour of female pre-service teachers in various constructs. Results based on the ownership of a computer revealed that the effect was in favour of pre-service teachers owning computers in various constructs. And finally, results based on the department variable revealed that the effect was at a higher level for pre-service teachers in English Language Education than pre-service teachers in Elementary Mathematics Education. The results of the present study also contain some recommendations for future studies on the topic.
Highlights: The effect of different blended models can be examined in similar studies. Similar studies can be carried out with a full experimental design and mixed model methods. Studies can be re-examined with different variables.
Social Construction of Local Wisdom of Kaombo Laut in Binongko Island Communities, Wakatobi Islands
Authors: Turasih Turasih 
Published: October 2023

The people of Binongko Island are a community united by the customary rules of Sarano Wali as a traditional institution which is still maintained today. Sarano Wali's customary rules cover setting the values ​​of everyday life as well as managing interactions between humans and nature both on land and at sea. In the interaction between humans and marine resources on local wisdom values ​​called kaombo laut which contains the obligations and rights of the community towards marine resources and the sanctions in case of violations. This study aims to explore related: (1) marine kaombo as a form of local wisdom in regulating interactions between humans and marine resources on Binongko Island; and (2) the formation of marine kaombo social construction in the Binongko Island community. This research uses a qualitative approach with a case study method. Based on the results of the study it is known that sea kaombo is a form of regulation of opening and closing areas called toomboemo (closed) and bukaano kaombo (open). The sea kaombo procession uses traditional rituals carried out by the community through the Sarano Wali traditional institution. The social construction of marine kaombo in the Binongko Island community is realized from the continuous application of marine kaombo as a form of preserving local wisdom.
Keywords: Social Construction, Kaombo, Local Wisdom, Sarano Wali, Wakatobi
Evaluation of the radiosensitizing effect of MEK inhibitor KZ-001 on non-small cell lung cancer cells in vitro
Authors: Huang Gongchao , Zhang Wenqin , Tian Hongqi 
Published: October 2023

Abstract

Background
Non-small cell lung cancer (NSCLC) has a poor prognosis and usually presents resistance against radiotherapy. MEK inhibitors have been proven to possess a radiosensitization effect. The compound KZ-001 as a particular MEK inhibitor is superior to the listed MEK inhibitor AZD6244.

Objective
To investigate whether KZ-001 could enhance the radiosensitivity of NSCLC cell lines in vitro.

Methods
MTT and colony formation assay were used to evaluate the radiosensitivity effect of KZ-001. Immunofluorescence, cell cycle, apoptosis staining, and western blot experiments were used to explore the radiosensitivity mechanism.

Results
KZ-001 significantly decreased A549 cell viability at 6 Gy and 8 Gy radiation doses and caused the radiosensitivity at 1 Gy, 4 Gy, and 6 Gy in colony formation experiments. The A549 apoptosis ratio induced by irradiation (IR) combined with KZ-001 increased significantly in comparison with that by IR monotherapy (10.57% vs. 6.23%, P = 0.0055). The anti-apoptosis marker Bcl-XL was found downregulated in KZ-001 and IR-treated A549/H460 cells, but apoptosis marker Bax was downregulated in H460. Extracellular regulated protein kinases (ERK1/2) phosphorylation of H460 cells could be blocked both by IR alone and IR combined with KZ-001. IR combined with KZ-001 is able to inhibit ERK activation of A549 cells apparently. KZ-001 increased the proportion of G2 phase in irradiated cells from 21.24% to 32.22%. KZ-001 could also significantly increase the double-strand break damage cell ratio to more than 30% compared to the irradiation alone group.

Conclusions
MEK1/2 inhibitor KZ-001 is a potential radiosensitizer for clinical applications.
Fabric Attractiveness Using Four Sensory Evaluators
Authors: Kodžoman Duje , Čok Vanja , Podlesek Anja , Čuden Alenka Pavko 
Published: October 2023

Abstract
All senses elicit emotional responses to goods, services, and the environment. They also play an important role in the process of fashion design and its evaluation. This research is a continuation of several preliminary studies we conducted online to define three attractive and three unattractive colors, textures, smells, sounds, and tastes. In the present study, a sample of textile engineering and fashion design students and experts (N = 54) assessed four groups of 6 fabric samples (sensory evaluators) selected based on the results of the preliminary studies. Each group of fabrics was assessed in one of four sensory modalities (except taste). Two semantic differentials were used to assess each sensory modality: attractive/unattractive and boring/interesting in the case of color, insensitive/sensitive in the case of texture, disturbing/calming in the case of sound, and cheap/luxurious in the case of smell. We found that among the fabrics in six different colors, the pink fabric was the most attractive. Of the six textures presented, the knitted rib texture was found to be the most attractive to touch. The scent of lemon essential oil was perceived as the most attractive among the six scents used, and the friction sound of suede leather was perceived as the most attractive among the six friction sounds of fabrics. Cluster analysis showed that the attractiveness of scents and colors of six fabric samples was highly differentiated and (almost) each sample was perceived as unique, while the attractiveness of the texture and sound of different samples was less differentiated and the samples were divided into only two groups. This suggests that discrimination of fabric attractiveness may be better in some sensory evaluators/modalities than in others. The results of this study will be useful for further research on the integration of different sensory modalities in fabric perception and garment preferences.
Re-evoking absent people: what languaging implies for radical embodiment
Authors: Cowley Stephen J. , Fester-Seeger Marie-Theres 
Published: October 2023

Abstract

Re-evoking examines how languaging enacts human social intelligence. Turning from linguistic tradition, we reduce language to neither abstracta nor form. Rather, as human activity, languaging enables people to co-act as they direct attention within what Margolis (2010b; 2016) calls an enlanguaged world. Given their embodiment, people use languaging to evoke absent others in a flow of action, feeling, judgment, and attitudes. Although based on organism-environment coupling, languaging is also activity that re-evokes the absent. In an enlanguaged world, people use emplaced activity as part of practices, events, situations, artifacts, and so on. Hence, people reach beyond the body as they re-evoke the absent by languaging or, by definition, “activity in which wordings play a part.” As we suggest, absent people are evoked by othering. In common domains (e.g. a school), social habits give rise to dispositions during a history of co-acting that, later, can re-evoke absent others and past selves. Having begun with a literary example, we later turn to a detailed case study to show how a narrator brings feeling to languaging (in this case, frustration) as she re-evokes other people as they are for her. In conclusion, we suggest that radical embodiment needs to be extended to include how human practices link coupling with social intelligence as people channel what they do with the help of languaging.