bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mortality and prognostic Factors in COVID-19 Patients with Hematologic Malignancies: A Retrospective Cohort Study in two Syrian centers
Authors: Mohamad Baraah , Martini Nafiza , Hanna Majd , Alhamid Naji , Sulaiman Ameen , bardan Hussam Al 
Published: August 2024

Abstract

Background
Patients with hematologic malignancies (HM) have poor outcomes from coronavirus disease (COVID-19), but data are limited, especially from low-income regions. This study analyzed mortality rates, clinical outcomes, and prognostic factors associated with COVID-19 infection in HM patients in Syria.
Methods
This retrospective cohort study enrolled 150 HM patients aged 16–78 years with confirmed COVID-19 at two hospitals in Damascus during 2021–2022. Patients were diagnosed based on RT-PCR or clinical/radiological findings with Chest computed tomography (CT) scans being the primary diagnostic modality. Data on demographics, cancer type, symptoms, comorbidities, CT findings, and outcomes were collected through medical records.
Results
The median age was 52.68 (± 18.49) years, with 64% of patients’ ≥50 years old. Acute lymphoblastic leukemia (18%) and acute myeloid leukemia (16.7%) were the most common HM types. The overall mortality rate was 61.4%. Mortality was significantly associated with older age (p = 0.001), cancer type (100% for acute leukemias, p = 0.001), Presence of dyspnea, cough, or digestive symptoms (p = 0.001), severe CT lung infiltrates (p = 0.001), and Pre-existing medical conditions (p = 0.001). Nearly, 37.3% of patients required ICU admission. All patients with non-Hodgkin's lymphoma survived, while all acute leukemia patients died.
Conclusion
Advanced age, specific cancer types, symptomatic presentation, CT severity, and presence comorbidities were identified as prognostic factors for COVID-19 mortality in HM patients. These high-risk patients warrant vigilant screening and preventive measures. Additional research is urgently needed to guide protection and clinical management in this vulnerable population.
Nonlinearly elastic and anisotropic constitutive model for ePTFE vascular graft based on tensile and inflation experiments
Authors: Sobotka Zbyněk , Horný Lukáš , Chlup Hynek , Kohan Miroslav , Hudák Radovan , Valášek Michael 
Published: August 2024

Abstract

The long-term success of interventions in cardiovascular medicine can be enhanced by the computer-assisted planning of these procedures. However, the reliability of all computational simulations depends significantly on the input parameters. One of the most important is the constitutive model for the biological tissue and for the implant material. While the last few decades have brought great advances in modelling the mechanical properties of the arterial wall, synthetic grafts have not received as much attention. The primary goal of our research is to contribute to filling this gap. Our study is focused on determining a constitutive model for ePTFE vascular grafts. Uniaxial tensile experiments with strips cut from tubular vascular grafts SA1802 (Gore-Tex Stretch Vascular Graft – Large diameter) in the circumferential and longitudinal direction, and pressurization experiments with intact graft tubes V06010L (Gore-Tex Vascular Graft – Standard-walled) were carried out. A nonlinearly elastic anisotropic model was used to describe the mechanical response observed in these experiments. The four-fiber hyperelastic model based on the exponential function combined with the neo-Hookean term was able to fit the data observed in both the uniaxial tensile and inflation-extension experiments with one single set of parameters. Thus, the resulting model is suitable to be used in numerical simulations studying surgical procedures involving ePTFE vascular grafts in the mechanical states of uniaxial as well as multiaxial stress.
Understanding Through Stories: Leadership Experiences of Trinidadian Women of Color
Authors: Washington Crystal , Gounko Tatiana 
Published: August 2024

This narrative inquiry explored the lived experiences of four Trinidadian women of color who served as principals in schools across the Caribbean Island. The focus of this research was to gain insight into what motivated these women to assume leadership positions in education, and how their experiences shaped their leadership practices. Research findings revealed three key themes that influenced the participants’ leadership practice in Trinidad’s educational context. These themes include: (a) ethics of care, an approach to leadership rooted in care and empathy, (b) collaborative leadership, an approach that helped the participants to address unique challenges faced by women-leaders, and (c) gender, class, and racial biases confronted by the participants during their careers. Exploring the narratives of the Trinidadian female leaders provides a nuanced understanding of how women-leaders navigate a complex landscape, offering lessons on resilience and leadership in a unique cultural and historical context.

Keywords: women of color; female principals; Trinidad and Tobago; Caribbean; educational leadership; West Indies; ethics of care.
A Perspective of PI3K/AKT/mTOR Pathway Inhibitors to Overcome Drug-resistance in Breast Cancer Therapy
Authors: Mandal Sudip Kumar , Samanta Samir Kumar 
Published: August 2024

Abstract:
The heterogeneous disease, breast cancer (BC), is a frequently detected cancer
today, including hormone receptor-positive (HR+), human epidermal growth factor
receptor-2-positive (HER2+), and triple-negative (ER-, PR-, HER2-) BC. Advanced endocrine
therapies could improve about 85% HR+ BC patient survival. Still, 20% - 30%
of cases of endocrine therapy resistance are observed. For all kinds of breast cancer,
drug resistance is a common and dangerous phenomenon, comprised of two types: de novo
resistance and acquired resistance (prolonged exposure). According to recent works
of literature, the PI3K/AKT/mTOR pathway has become an emerging target for overcoming
drug resistance in BC therapy due to its close association with tumour growth
and resistance from current therapies. Activation of the PI3K/AKT/mTOR pathway was
found to promote multidrug resistance by elevating drugs’ outflow. The first orally active
PI3K inhibitor, Alpelisib (BYL-719) in fulvestrant combination, was approved for
treating HR+/ HER2− metastatic BC. Therefore, utilizing PI3K/mTOR/AKT inhibitors
in combination with currently available strategies could be an optimistic approach to
overcoming drug resistance and resensitizing drug-resistant tumor cells of BC. Here, in
this perspective, BC cancer therapies related to drug resistance, the involvement of
PI3K/AKT/mTOR pathway in drug resistance and multi-drug resistance, and the role of
PI3K/AKT/mTOR inhibitors in getting rid of drug resistance have been illuminated.
Network Pharmacology, Molecular Docking Analysis and Experiment Validations on Molecular Targets and Mechanisms of the Dispel-Scar
Ointment in Scar Treatment
Authors: Li Zhaoyi , Cao Yi , Li Hui , Le Sihua , Yin Libo 
Published: August 2024

Background:
Dispel-Scar Ointment is used in Traditional Chinese Medicine to treat
scarred tissue and increasing evidence has shown that DSO is a potent therapeutic; however, its
exact mechanism remains unexplored.

Aim of the Study:
This study explored the molecular mechanisms of action of DSO in scarring
using network pharmacology, molecular docking, and experimental validation.

Materials and Methods:
Public databases were applied to predict the bioactive ingredients and
putative targets of DSO against scars. A compounds-targets network was constructed using the
Cytoscape software. Molecular docking was performed to verify the correlation between the
major positive ingredients and hub targets, visualised using PyMol 2.3. Enrichment analysis was
implemented using ClueGo and FunRich to specify the biological capabilities and related pathways
of hub targets. SwissADME software was used to predict the ADME capabilities of the
protein-related active compounds between DSO and scar in order to analyse the absorption and
permeation across cell membranes of DSO. We assessed the skin sensitizer potential of the bioactive
compounds of DSO using Pred-Skin computational tool. Experimental validations were
conducted to elucidate the influence of DSO on keloid fibroblast cells using the CCK-8, woundscratch,
cell reactive oxygen species, and western blot assays.

Results:
Network pharmacological analysis of DSO for scar treatment identified 146 ingredients
and 1078 gene targets. Major targets included prostaglandin-endoperoxide synthase 2 matrix
metallopeptidases and nitric oxide synthase 2. Molecular docking showed MMP2-flavoxanthin,
MMP9-luteolin and MMP-9-kaempferol bound best to DSO. ClueGo analysis revealed 29
pathways (p<0.05) and FunRich 345 pathways (p<0.05), mainly toll-like receptor, TGF-β, interleukin-
4/13, glypican, and tumour necrosis factor-related apoptosis-inducing ligand pathways.
The results valued by the SwissADME and PreADMET tools illustrated that 12 compounds in
DSO were almost permeable through the skin. Pred-Skin computational tool represented that
these 12 bioactive compounds reflected skin sensitizer potential. Experimental analysis revealed
that DSO could restrain the proliferation and migration of scar fibroblasts and facilitate their
apoptosis in a concentration-dependent manner. DSO also decreased TGF-β1, -βR2, pSMAD2,
pSMAD3, SMAD4, CoL1a1, and MMP2 expression.

Conclusion:
Network pharmacology, molecular docking, and experimental validation showed
DSO's feasibility in scar therapy. It may restrain scars through the TGF-β1/SMADs/MMPs signalling
pathway, providing a basis for DSO's scar treatment application.
An Assessment of the Degradation Potential and Genomic Insights Towards Hydroxylated Biphenyls by Rhodococcus opacus Strain KT112-7
Authors: Egorova Darya , Olsson Bjorn , Kir'yanova Tatyana , Plotnikova Elena 
Published: August 2024

Background:
Hydroxylated biphenyls are currently recognized as secondary pollutants
that are hazardous to animals and humans. Bacterial degradation is the most effective method for
the degradation of hydroxylated biphenyls. Several strains capable of degrading polychlorinated
biphenyls have been described, which also degrade hydroxylated biphenyls.

Objectives:
1) To study the biodegradative properties of the Rhodococcus opacus strain KT112-7
towards mono-hydroxylated biphenyls. 2) To analyze the genome of the Rhodococcus opacus
strain KT112-7. 3) To identify the genetic basis for the unique biodegradative potential of the Rhodococcus
opacus strain KT112-7.

Methods:
A genome analysis of the strain KT112-7 was conducted based on whole-genome sequencing
using various programs and databases (Velvet, CONTIGuator, RAST, KEGG) for annotation
and identification of protein-coding sequences. The strain KT112-7 was cultivated in a K1
mineral medium supplemented with mono-hydroxy biphenyls or mono-hydroxybenzoic acids as
the carbon source. For the growth test mono-hydroxybiphenyls or mono-hydroxybenzoic acids
were dosed at concentrations of 0.5 g/L and 1.0 g/L correspondently, and the bacterial growth was
monitored by the optical density. For the biodegradative activity test, mono-hydroxybiphenyls
were dosed at a concentration of 0.1 g/L in vials, inoculated with late exponential phase bacteria
previously acclimated on biphenyl. Compound analysis was performed using GC-MS, HPLC, and
spectrophotometry.

Results:
It was found that the genome of strain KT112-7 consists of a chromosome and 2 plasmids.
Biphenyl degradation genes (bph genes) were identified on plasmid PRHWK1 and the chromosome,
as well as hydroxybenzoic acid degradation genes on the chromosome. The strain
KT112-7 was shown to degrade mono-hydroxylated biphenyls to basal metabolic compounds of
the cell, with the highest destructive activity observed towards 3- and 4-hydroxylated biphenyls
(98%).

Conclusion:
The Rhodococcus opacus strain KT112-7 is characterized by genetic systems that
contribute to its high biodegradative potential towards mono-hydroxylated biphenyls and their
metabolites. Thus, the strain KT112-7 is promising for use in hydroxybiphenyl degradation technologies.
Biological Potential of Oxoglaucine in Medicine for the Treatment of Human Disorders: An Update on Pharmacological Activities and Related Molecular Mechanism
Authors: Patel Kanika , Patel Dinesh Kumar 
Published: August 2024

Abstract:
Medicinal plants are an integral part of the medical system in many countries
around the world. Natural products have been used as important biological sources for drug
discovery over the past half-century. Alkaloids are a group of natural compounds that contain
a basic nitrogen atom. Oxoglaucine is a phytochemical of the oxoaporphines class
phytochemical isolated from Aquilegia ecalcarata Maxim, Corydalis yanhusuo, Chasmanthera
dependens, and Xylopia aethiopica. The purpose of this study is to analyze all
the scientific information about oxoglaucine in order to know the health-beneficial potential
of oxoglaucine in medicine. The detailed pharmacological activities of oxoglaucine are
analyzed and discussed in this review. The scientific data of the present review about oxoglaucine
were collected from PubMed, Scopus, Science Direct, and Google using the terms
oxoglaucine, oxoaporphines, alkaloid, phytochemical, pharmacological, and herbal medicine.
The scientific findings of the present review article describe the biological importance
and therapeutic effectiveness of oxoglaucine in medicine. The present article's
scientific data signified the biological potential of oxoglaucine against inflammatory diseases,
arthritis, osteoarthritis, immune response, enterovirus, and poliovirus. Furthermore,
its anticancer, antiaggregation, antifungal, antiprotozoal, and cytotoxic potential are also
described in this review article. The scientific information in this article will be helpful to
all the scientific peoples of biological science to understand the therapeutic potential of
oxoglaucine in medicine.
Current Status of Barriers to mHealth Access Among Patients With Stroke and Steps Toward the Digital Health Era: Systematic Review
Authors: Niyomyart Atsadaporn , Ruksakulpiwat Suebsarn , Benjasirisan Chitchanok , Phianhasin Lalipat , Nigussie Kabtamu , Thorngthip Sutthinee , Shamita Gazi , Thampakkul Jai , Begashaw Lidya 
Published: August 2024

Background
Mobile health (mHealth) offers significant benefits for patients with stroke, facilitating remote monitoring and personalized health care solutions beyond traditional settings. However, there is a dearth of comprehensive data, particularly qualitative insights, on the barriers to mHealth access. Understanding these barriers is crucial for devising strategies to enhance mHealth use among patients with stroke.

Objective
This study aims to examine the recent literature focusing on barriers to mHealth access among patients with stroke.

Methods
A systematic search of PubMed, MEDLINE, Web of Science, and CINAHL Plus Full Text was conducted for literature published between 2017 and 2023. Abstracts and full texts were independently screened based on predetermined inclusion and exclusion criteria. Data synthesis was performed using the convergent integrated analysis framework recommended by the Joanna Briggs Institute.

Results
A total of 12 studies met the inclusion criteria. The majority were qualitative studies (about 42%), followed by mixed methods (25%), pilot studies (about 17%), nonrandomized controlled trials (about 8%), and observational studies (about 8%). Participants included patients with stroke, caregivers, and various health care professionals. The most common mHealth practices were home-based telerehabilitation (30%) and poststroke mHealth and telecare services (20%). Identified barriers were categorized into two primary themes: (1) at the patient level and (2) at the health provider-patient-device interaction level. The first theme includes 2 subthemes: health-related issues and patient acceptability. The second theme encompassed 3 subthemes: infrastructure challenges (including software, networking, and hardware), support system deficiencies, and time constraints.

Conclusions
This systematic review underscores significant barriers to mHealth adoption among patients with stroke. Addressing these barriers in future research is imperative to ensure that mHealth solutions effectively meet patients’ needs.
Reliability and agreement of root length measurements during orthodontic treatment in images from different CBCT machines using multiplanar reconstruction
Authors: Johansson Kristina , Paulsson Liselotte , Christell Helena 
Published: August 2024

Objectives: To assess inter- and intrarater reliability and agreement for measurements of root lengths using multiplanar reconstruction (MPR) in cone beam computed tomography (CBCT) examinations.
Furthermore, to determine whether using MPR from different CBCT machines was a reliable and reproducible method for assessment of root length during orthodontic treatment of adolescents.
Materials and methods: A total of 40 CBCT examinations obtained before, during and after orthodontic treatment of 14 adolescents, with fixed appliances from a multicentre randomised controlled trial, were used. All roots from the incisors to the first molars were measured by two independent raters and in accordance with a protocol preceded by a multi-step calibration. Reliability was assessed by intra class correlation (ICC). Agreement was assessed by measurement error according to the Dahlberg formula and Bland–Altman plot.
Results: The number of repeated measurements varied from 436 to 474 for the different timepoints. Good to excellent inter- and intrarater reliability for different tooth groups and timepoints were shown. Measurement error for inter- and intrarater agreement varied between 0.41 mm and 0.77 mm. The Bland–Altman plot with 95% limits of agreement varied between +1.43 mm and −2.01 mm for different tooth groups and timepoints.
Conclusions: The results of this study indicate that CBCT using MPR from different machines is a reproducible method for measuring root length during different phases of orthodontic treatment. When interpreting root shortening measurements in CBCT using MPR for clinical or research purposes, values below 2 mm should be approached with caution, as they may contain measurement errors.
Classification of Roasting Level of Coffee Beans Using Convolutional Neural Network with MobileNet Architecture for Android Implementation
Authors: Pakaya Isran Mohamad , Radi Radi , Purwantana Bambang 
Published: August 2024

The roasting process has a significant impact on the aroma profile and taste of coffee making it an essential stage in the coffee processing. Currently, the classification of coffee bean roasting levels still relies on subjective human visual assessment, which can lead to errors due to fatigue or negligence. To overcome this problem, a classification system was developed using computer vision technology with a deep learning approach. The present study designed a coffee bean roasting level classification system based on image analysis integrated within an Android application. The Convolutional Neural Network (CNN) model with the MobileNet architecture was used to identify and classify coffee beans based on their roasting level. Two CNN models, namely CNN Alpha and CNN Beta were used in this study. The dataset included 1.600 coffee bean images, with 1.200 images used to train the model and 400 images used to test the accuracy. In this experiment, the input image had an optimal size of 70x70 pixels, a learning rate of 0.0001, and 100 epochs for both models. The model training and testing results in the highest accuracy of 98-88% in 6.40-0.0012 minutes.The application test results obtained 93.55% accuracy, 97.06% precision, and 96.67% recall. These results indicate that this model and application function optimally in classifying coffee bean roasting levels accurately. Overall, this study reveals the potential of integrating CNN with the MobileNet architecture into an Android-based application to change the way of roasting level classification, as well as to improve efficiency and accuracy. Keywords: Coffee, Roasting, Convolutional Neural Network, MobileNet, Android.
Peranan Lingkungan Sebagai Sumber Pembelajaran Geografi dalam Menumbuhkan Sikap dan Perilaku Keruangan Peserta Didik di SMA Negeri 8 Tasikmalaya
Authors: Mandasari Mardyalita , Nabila Raisya Rifatun , Jannah Zailla Nurul , As'ari Ruli 
Published: August 2024

Peranan lingkungan seperti lingkungan sosial, keluarga, dan teman merupakan peranan yang sangat penting bagi peserta didik. Lingkungan mempunyai pengaruh besar terhadap proses pembelajaran geografi peserta didik. Pembelajaran geografi dapat membantu peserta didik dalam meningkatkan pemahaman serta diharapkan dapat menumbuhkan sikap dan perilaku keruangan. Tujuan penelitian ini adalah mendeskripsikan peran lingkungan sosial sebagai pembentukan sikap dan perilaku keruangan peserta didik SMA Negeri 8 Tasikmalaya. Penelitian ini menggunakan metode deskriptif-kualitatif, dan dilaksanakan di SMA Negeri 8 Tasikmalaya. Pengumpulan data dilakukan dengan observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukan peran lingkungan sekolah sebagai wadah pendidikan mampu membuat siswa memiliki sikap dan perilaku keruangan karena tersedianya buku sebagai sumber belajar, guru sebagai fasilitator serta teman sebaya sebagai tutor pembelajaran. Sementara itu, lingkungan keluarga dan lingkungan masyarakat kurang mendukung peserta didik untuk membentuk sikap dan perilaku keruangan karena tidak adanya edukasi, pengawasan dan sosialisasi yang dilakukan kepada peserta didik.
Analisis Kesulitan Pembelajaran Daring Pada Mahasiswa Fakultas Ekonomi Universitas Negeri Padang
Authors: Zulhendri Jerry 
Published: August 2024

This study aims to analyze the factors of online learning difficulties in students of the Faculty of Economics, Universitas Negeri Padang. Internal factors of online learning difficulties include: (physical health, spiritual health, ready to face obstacles and obstacles, a less supportive family economy, activeness in learning, interest in learning, desire to learn and high confidence in learning) external factors from Difficulties in online learning include: (enthusiasm in learning, having encouragement in learning, readiness to minimize obstacles and obstacles, uncomfortable home conditions so that children find it difficult to study with focus, material delivered by lecturers in online lectures, learning facilities and infrastructure and life in society). The sampling technique was proportional random sampling. The data collection technique used questionnaire. The analytical method used descriptive analysis and factor analysis. Based on the results of factor analysis, there are four factors that influence learning outcomes using e-learning, namely physiological factors, non-social factors, psychological factors and social factors. The dominant factor of online learning difficulties in students of the Faculty of Economics, Padang State University is physiological factors. For students, in order to understand the material given by the lecturer in e-learning.
Pengawasan Pemerintah Daerah dalam Penyediaan Air Bersih oleh PDAM Kota Padang Panjang
Authors: Eka Putri Mery , Permana Iip 
Published: August 2024

This study analyzes empirically the Supervision of Local Government in the Provicion of Clean Water by PDAM Padang Panjang City. The data analysis thecnique using MAXQDA software application. This research uses qualitatif methods with a descriptive approach. With a location in Padang Panjang City. Data collected by interview and documentation. The results of this study indicate thet supervision is carried out by means of indirect supervision where the PDAM reports the results of its to the Regional Government.