bluuebunny/crossref_metadata_2025 huggingface dataset:
Anti-Mullerian Hormone Induces Foxo1 and Sirt1 Genes Expression in Mouse Ovary
Authors: Abouzeid Hoda M. , Hashad Ingy M. , Rady Mona , Abdel- Maksoud Sahar M.
Published: September 2024

Background:

Anti-Mullerian hormone (AMH) plays a pivotal role in follicular
growth and atresia. Recent studies highlighted the role of AMH in attenuating granulosa cell
apoptosis and subsequent follicular atresia. Despite the raising understanding of the role of
AMH in folliculogenesis, and its contribution to the pathophysiology of certain diseases such as
polycystic ovary syndrome, the effect of AMH on the expression of genes regulating folliculogenesis
is stills limited.

Objective:

This study aims to gain insights into the effect of AMH on atresia regulating genes.

Method:

In vivo study was performed on C57BL/6J mice injected with AMH for one month.
Thereafter, relative gene expression quantification of Foxo1, Sirt1, p53, Bim, and Bax genes
were performed using RT-PCR.

Results:

In this study, AMH significantly enhanced the expression of Foxo1 and Sirt1 gene
compared to the control group. On the contrary, AMH did not modulate the expression of p53,
Bim, or Bax genes. AMH was also found to increase serum FSH and LH levels in a dosedependent
manner.

Conclusion:

This study demonstrated the capability of AMH to induce Foxo1 and Sirt1 genes.
Moreover, our study revealed the role of AMH in elevating LH serum level which is a main
contributor to the pathophysiology of polycystic ovary syndrome, opening new avenues for the
study of AMH as a main contributor to the stalled follicular atresia and growth associated with
the disease.
Exploring the Neuroprotective Potential of Icariin through Modulation of Neural Pathways in the Treatment of Neurological Diseases
Authors: Sharma Sarthak , Mehan Sidharth , Khan Zuber , Tiwari Aarti , Kumar Aakash , Gupta Ghanshyam Das , Narula Acharan S . , Kalfin Reni
Published: September 2024

Neuropathological diseases involve the death of neurons and the
aggregation of proteins with altered properties in the brain. Proteins are used at the
molecular level to categorize neurodegenerative disorders, emphasizing the
importance of protein-processing mechanisms in their development. Natural herbal
phytoconstituents, such as icariin, have addressed these neurological complications.
Icariin, the principal compound in Epimedium, has been studied for its antineuroinflammatory,
anti-oxidative, and antiapoptotic properties. Recent scientific
investigations have shown that icariin exhibits promising therapeutic and preventive
properties for mental and neurodegenerative disorders. In preclinical, icariin has been
shown to inhibit amyloid development and reduce the expression of APP and BACE-1.
Previous preclinical studies have demonstrated that icariin can regulate
proinflammatory responses in neurological conditions like Parkinson's disease,
depression, cerebral ischemia, ALS, and multiple sclerosis. Studies have shown that
icariin possesses neuroprotective properties by modulating signaling pathways and
crossing the blood-brain barrier, suggesting its potential to address various
neurocomplications. This review aims to establish a foundation for future clinical
investigations by examining the existing literature on icariin and exploring its potential
therapeutic implications in treating neurodegenerative disorders and neuropsychiatric
conditions. Future research may address numerous concerns and yield captivating
findings with far-reaching implications for various aspects of icariin.
Pharmacological Benefits of Cinnamaldehyde: A Comprehensive Insight
Authors: Ali Aagaz , Ismayel Sayed Mohammad , Samama Mohd , Kumar Amit , Gupta Payal
Published: September 2024

To provide a comprehensive, detailed review of the pharmacological benefits of cinnamaldehyde
(CA) and its derivatives. Cinnamon is one such medicinally important spice that
finds space in all Indian kitchens due to its myriad health benefits. This review aims to compile
the scientific literature and provide a comprehensive analysis of pharmacological properties and
cellular signalling pathways inhibited by CA. For collecting the literature, databases like
PubMed, Scopus, Science Direct, Web of Science, and Google Scholar were searched using the
keywords “cinnamaldehyde,” “cinnamic acid,” “molecular targets,” and “pharmacological activities.”
Further screening was performed manually by thoroughly reading the abstract or full copy.
CA has proven its pharmacological activity against different illnesses/diseases such as cancer,
inflammation, bacteria, and fungi, where scientific validations and molecular insights have been
made for its targeted signalling pathways. Researchers have synthesized several novel derivatives
of CA that highlight, either alone or in synergism, the enhanced effectiveness. However, there is a
need to develop a cost-effective and economical approach to produce CA derivatives on a large
scale. Research aimed at turning CA into a therapeutic will be beneficial and open the door for
other phytoactive compounds as well. CA has a wealth of medicinal potential.
Comparative Evaluation of Antibacterial and Toxicity Mechanisms of Silver Nanoparticles Biosynthesized by Streptomyces, Lemon, and Chitosan
Authors: Mostafa Islam Yousif , Ahmad Maged Sayed , Aboellil Ayman Hassan , Mohamed Ayman Saber
Published: September 2024

Background:

Recently, there has been a lot of interest in environmentally friendly
nanoparticle synthesis. Silver nanoparticles (AgNPs) are promising against antibiotic resistance
due to their high surface energy, robust action, and excellent adsorbability.

Aim:

The primary objective of this study was to assess the antibacterial efficacy of AgNPs that
were manufactured using three environmentally friendly methods (lemon, Streptomyces, and
chitosan). Furthermore, the study attempted to investigate the potential toxicity of these nanoparticles
on mice.

Methods:

The synthesis of AgNPs was characterized by XRD, TEM FTIR, and TGA. The antimicrobial
effect of AgNPs was studied using the disc diffusion method and minimum inhibitory
concentration (MIC). The antibacterial mechanism of AgNPs was determined using different
methods, such as released glucose and proteins, respiratory chain inhibition, plasma membrane
fluorescence anisotropy, DNA fragmentation, gel electrophoresis, and cell membrane potential.

Results:

The TEM analysis of Ag NPs showed predominantly spherical particles with a size
distribution of 10–60 nm. AgNPs synthesized by the three green methods showed antibacterial
and fungal activity. The antibacterial mechanisms of AgNPs involved inhibition of LDH activity,
increased protein and glucose leakage, DNA and protein damage, and depolarization and
destabilization of the plasma membrane. AgNPs, on the other hand, increased alanine aminotransferase,
aspartate aminotransferase, urea, creatinine, malondialdehyde, and nitric oxide
levels in mice while decreasing glutathione reduced.

Conclusion:

Our study showed that AgNPs synthesized by Streptomyces, lemon, and chitosan
have powerful antimicrobial properties. Chitosan-AgNPs showed the most pronounced antibacterial
action, although it displayed significant toxicity in mice. Conversely, lemon-AgNPs revealed
the least notable impact.
A TTN-Associated Immunoprognostic Model Based on LASSO-Cox Regression for Cervical Squamous Cell Carcinoma and Endocervical
Adenocarcinoma
Authors: Dai Tianjin , Chen Peng , Zhang Jun , Wang Bing
Published: September 2024

Background:

TTN mutations are the most common genetic mutations found in cervical
squamous cell carcinoma and endocervical adenocarcinoma. They have been shown to affect the
progression and prognosis of Cervical Endometrial glandular carcinoma (CESC). TTN mutations
may also regulate the immune phenotype of CESC, which could impact its prognosis. Previous studies
have demonstrated that CESC patients with TTN mutations had a significantly higher overall
survival rate than those with wild-type TTN. However, the impact of TTN mutations on the immune
microenvironment of CESC has not been thoroughly investigated.

Methods:

This paper aims to examine the TTN mutation status and RNA expression in the CESC
dataset from TCGA. Two gene features were identified to predict the prognosis of CESC. Consequently,
a CESC Immune Prognosis Model (CIPM) based on a LASSO-Cox regression analysis was
developed for the differential expression of immune-related genes between TTN-WT and TTNMUT
CESC samples.

Results:

The results showed that TTN mutations weaken the immune response in CESCs. Out of the
152 genes associated with the immune response, 21 displayed varying expression levels depending
on the presence or absence of TTN mutations.

Conclusion:

The study suggests that TTN mutations have an impact on the immune response in
CESCs. The CIPM was introduced and validated in 232 CESC patients to distinguish between highand
low-risk patients with an unsatisfactory prognosis, regardless of various clinical features.
A Novel Multitask Association Analysis Model with Deep Selfreconstruction for Diagnosis of Alzheimer’s Disease
Authors: Wu Tian-Ru , Gao Ying-Lian , Ren Qian-Qian , Cui Xinchun , Yuan Sha-Sha , Liu Jin-Xing
Published: September 2024

Background:

With the development of brain imaging technology and genotyping technology,
the brain imaging genetic method has become a powerful means to investigate the pathogenesis
of Alzheimer's disease (AD). However, AD generally exhibits progression, multiplicity,
and intricacy, and different diagnostic groups may carry different biomarkers. At the same time,
traditional models often ignore the nonlinear relationship and inherent topological characteristics of
brain imaging genetic data.

Objective:

Therefore, developing a more reliable method to identify diagnosis-specific genotypes
and phenotypes is indispensable for exploring the pathogenesis of AD. In this paper, a novel deep
self-reconstruction multitask association analysis (DS-MTAA) method is proposed for AD-related
biomarkers extraction and AD classification.

Methods:

First, a deep neural network is designed to learn the nonlinear relationships between
samples. Also, the self-expression idea based on hypergraph regularization is utilized to perform
subspace clustering on the output of the network. Then, a multitask model consisting of sparse canonical
correlation analysis and regular logistic regression is constructed, in which each task is responsible
for learning a diagnosis-specific genotype-phenotype pattern.

Results:

Finally, the RobustBoost classifier is employed to perform the classification experiments
under 5-fold cross-validations. The experimental results show that DS-MTAA can achieve better
classification performance than other advanced comparison methods and identify more effective
brain biomarkers and genetic markers that are strongly associated with diseases.

Conclusion:

Therefore, it can be concluded that a novel multitask association analysis model with
deep self-reconstruction for the diagnosis of Alzheimer’s Disease can further understand the pathogenesis
of AD.
Predicting Drug-target Binding Affinity Based on Graph Isomorphism Network and iTransformer
Authors: Cui Weirong , Qian Jing , Yao Xiaojun , Hu Guang , Tong Henry H.Y.
Published: September 2024

Background:

Deep learning models have gained significant traction in predicting drugtarget
binding affinity, primarily focusing on deciphering intricate drug-target relationships. However,
these models often overlook intermediate representations, thus failing to capture the holistic
characteristics of proteins crucial for discerning drug-target interactions.

Methods:

This study proposes a novel deep-learning model that captures comprehensive and longrange
dependencies within protein sequences. Leveraging deep feature engineering and an inverted
Transformer module, it integrates multi-scale chemical information of drug molecules using graph
neural networks and hierarchical attention mechanisms.

Results:

The proposed model achieves state-of-the-art performance across multiple drug-target interaction
datasets. It obtains MSE losses of 0.229 and 0.162 on the Davis and KIBA datasets, respectively,
and AUC scores of 0.982 and 0.985 on the Human and C. elegans datasets.

Conclusion:

These results demonstrate the model's superior efficacy in predicting drug-target affinity
and interactions, showcasing its potential to expedite drug discovery processes.
Implementing Wireless Sensor Network Through Machine Learning Techniques
Authors: Sethi Deepak , GORA MANAV , Jain Shubhi , Kumari Shrishti , Gupta Shraddha , TYAGI TANUSHI
Published: September 2024

Introduction:

A regional WSN of independent SNs collects environmental and physical
data. Sensors for specific applications measure light, pressure, temperature, humidity, etc. WSNs
can transmit real-time data without infrastructure via radio frequencies. Smart cities, agriculture,
industrial automation, environmental monitoring, and healthcare use WSN data. Many SNs monitor
the network architecture's physical environment.

Method:

This design lets SNs talk to neighbors and base stations. Due to power limits, WSNs must
prioritise energy efficiency. ML enhances data processing, energy efficiency, and WSN performance.
WSN sensors assist ML in predicting events. Machine learning improves data compression,
anomaly detection, adaptive network management, WSN predictive modelling, industrial WSN
performance, energy efficiency, data analysis, etc. In this work, the dataset, which has parameters
such as SN’s positions, energy, distance from cluster head, and SN lifetime is provided as an input
to the following ML models Linear Regression, Random Forest, SVM, Naive Bayes, PCA, K
Nearest Neighbour, XG Boost, and NN.

Result:

The result showed that the Linear Regression, Random Forest, SVM, Naive Bayes Classifier,
PCA, K Nearest Neighbour, and XG Boost were all examined on the training and testing data.

Conclusion:

The training data accuracies are as follows: Linear Regression (46.64%), Random
Forest (99.67%), XG Boost (99.99%), SVM (32.10%), K Nearest Neighbor (98.56%), Naïve Bayes
Classifier (96.45%), Principle Component Analysis (97.88%) and NN (34.86%). The testing data
accuracies are as follows: Linear Regression (22.00%), Random Forest (97.18%), XG Boost
(96.94%), SVM (21.75%), K Nearest Neighbor (97.66%), Naïve Bayes Classifier(64.49%),
PCA(99.38%) and NN(28.94%). Linear Regression, Random Forest, SVM, Naive Bayes Classifier,
PCA, K Nearest Neighbour, and XG Boost were all examined. Results revealed that
A Review on Ocular Nanoformulation Based Formulations with Highlights on Pediatric Ocular Pharmacokinetics
Authors: Verma Ravinder , Bhatia Manisha , Mojumder Mithun , Patel Suraj , Mishra Vivek Kumar , Mathur Pooja , Bhatt Shailendra , Sharma Jai Bharti
Published: September 2024

The potential use of nanoparticle-based formulations is being explored rapidly for drug
delivery in ocular treatment. Despite having several advancements in the area of ocular therapy,
the pharmacokinetics-based formulation development for pediatric ocular treatment is still not in
proper focus. There are an inadequate number of degenerative ocular ailments with childhood
onset. The purpose of this review is to focus on the pharmacokinetics studies of nanoparticle-
based formulations for treating ocular diseases and problems associated with the ocular treatment
of the pediatric population. Recent studies on pharmaceutical modeling of ocular formulations
have also been discussed. Nanoparticle-based formulations were collected by conducting a
literature survey on PubMed, Science Direct, and other portals. In this review, we have explored
in detail the explanation behind the inequality among available ocular treatment regimens for
youngsters as well as adults by specifically focusing on those diseases that can be distressing for
children. Latest innovative developments and advancements in drug delivery systems and challenges
in their usage particularly for young infant patients were also discussed. It can be concluded
that the bioavailability of ocular formulations and their effect on ocular cells can be further enhanced
manifolds by the development of nanoparticles-based formulations.
Measuring the Impact of the COVID-19 Pandemic on Learning Loss: Evidence from Ho Municipality, Ghana
Authors: Letsu Rose , Bigool Mark , Tchochu Emmanuel
Published: September 2024

Introduction:

This article investigates the effects of school closures due to the COVID-19
pandemic on the math and science test scores of basic school students in Ho Municipality, Ghana.

Method:

The study used data collected from four schools: two public schools with 286 students and
two private schools with 253 students, for the period 2018–2021. STATA (version 17.0) was used
for the main analysis. Further, the data were analyzed by comparing the pre-COVID-19 years (2018
and 2019) to the COVID-19 years (2020 and 2021). The data collection procedure followed ethical
guidelines and data protection regulations, with permission and authorization granted by the relevant
educational authorities. This study establishes that COVID-19 negatively impacted the test results of
students, reducing math scores by 25% and science scores by 6.8%. Public schools were the most
affected, with a 23% reduction in math scores and a 39% reduction in science scores.

Result:

These findings suggest a drop in student performance due to the increased impact of the pandemic.

Conclusion:

The study recommends that educational institutions invest in and enhance remote learning
programs, such as by developing interactive online platforms, providing learning materials, and
training educators to deliver effective virtual instruction.
EXPLORING THE EFFECTS OF STITCHING PROCESS ON THE MECHANICAL PROPERTIES OF THREE- DIMENSIONAL (3D) STITCHED UNIDIRECTIONAL COMPOSITES
Authors: Korkmaz Mehmet
Published: September 2024

The stitching process has obvious effects on the out- of- plane mechanical properties of composites such as impact damage mechanism or impact energy absorption. However, the effects on the in- plane mechanical properties of composites have been under discussion and need to be clarified. In the previous studies, tensile, shear and bending behaviors of 3D stitched biaxial woven carbon composite were investigated. The unidirectional carbon woven fabrics constitute the significant part of raw materials in the composite industry. For this reason, the research study was expanded to examine the in- plane mechanics of 3D stitched unidirectional carbon woven composites. In this study, the unstitched and 3D stitched unidirectional woven carbon composites were manufactured and tested under the shear, tensile and bending loads. While the stitching process improved the tensile and shear modulus of composite, it could not create the significant difference in the bending behavior. The highest module and maximum stress values were obtained in the tensile test. The bending and shear test results follow them, respectively. Moreover, it was proven that the fabric architecture of stitched composite layer has the substantial effect on the tensile properties of 3D stitched composite.
CLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA CELLS USING ARTIFICIAL INTELLIGENCE
Authors: Varol Malkoçoğlu Ayşe Berika , İşeri İsmail
Published: September 2024

Due to the morphological similarity between immature lymphoblasts (cancerous cells) to lymphocytes (non-cancerous cells), detecting Acute Lymphoblastic Leukemia poses a significant challenge for pathologists. These cells, which exhibit a similar pattern, can lead to various errors during the diagnosis of the disease. In this study, the cancerous and non-cancerous cells were classified using 3 different artificial intelligence approaches. In the first approach, the classification process was carried out by training Convolutional Neural Networks in 4 different architectures. In the second approach, a hybrid approach was proposed by combining the convolution layer of the CNN model as the feature extractor with the Support Vector Machine, Naive Bayes and Random Forest algorithms as the classifier. The classification processes were carried out by training the proposed second approach. In the third approach, the classification process was performed using transfer learning process and ResNet50 and VGG16 networks. In all experiments, the effects of hyper-parameter and dataset changes on model performance were also examined. The results obtained by these three approaches were compared using the Accuracy, Precision, Recall, F-score, and AUC performance measures. It was determined that the most successful results were obtained with the 1st approach using the Dataset3.
Polyploidy Induction by Sodium Azide and Ethyl Methane Sulfonate in Grape Genotypes
Authors: Kara Zeki , Beyatlı Ahmet
Published: September 2024

Continuous improvement of vine rootstocks and grape varieties is necessary for the sustainability of viticulture. In this context, grapevine breeding and especially the development of polyploid grapevine genotypes offer opportunities. This study investigated the effectiveness of sodium azide (SA, five dozes and two treatment duration) and ethyl methane sulfonate (EMS, four dozes and two treatment duration) in inducing polyploidy. In Ekşi Kara and Gök Üzüm grape cultivars and 41B and Fercal grapevine rootstocks, different parameters were studied, such as seedling growth, stoma, chlorophyl and chloroplast observations, and cytogenetic analysis. In the experiment, each mutagen dose was applied to twenty seeds, 300 for each genotype and 1200 seeds in total. As a result of both mutagen treatments, a total of 268 seedlings survived: 39 in cv. Ekşi Kara, 48 in cv. Gök Üzüm, 78 in 41B and 103 in Fercal. A total of 50 seedlings, 8 in Ekşi Kara, 17 in Gök Üzüm, 9 in 41B and 16 in Fercal, were selected through preliminary screening by observing shoots, leaves, chlorophyll, stomata and chloroplasts, and the polyploidy level was examined by flow cytometry (FC) analysis. In the FC analysis, only one seedling selected from the Gök Üzüm SA 0.05% 2-h treatment was confirmed to be triploid. In addition, in the chromosome count performed on the root tip-sample of the seedling selected by FC analysis, 57 chromosomes were counted that this was exactly triploid with 3n = 57 chromosomes, and ploidy verification was repeated. The triploid Gök Üzüm seedling obtained in this study is the first productive result in which polyploidy was induced with SA in grapevine genotypes. In subsequent studies to induce polyploidy in grapevine, SA 0.05% 2-h treatment may be recommended.
Hassles during the First Year of Medical School: Can a Student Wellness Program Make a Difference?
Authors: Johnson Jane , Smith Carol , Degenhardt Brian
Published: September 2024

Acute stress during medical school affects medical student well-being. The objective of the current study was to examine the influence of a holistic, school-sponsored student wellness program (SWP) on acute stress during the first year of medical school. First-year medical students attending two osteopathic medical schools participated, one school with a holistic student wellness program (SWP group) and one without an organized student wellness program (Control group). The SWP was founded on osteopathic philosophy and designed to help students balance educational goals with a holistic, healthy lifestyle. Participants completed the Medical Education Hassles Scale-R (MEHS-R), which measures acute stress, during orientation and approximately every four to six weeks throughout their first year. Administration times were classified into academic periods (examination, routine, vacation) and 13-week quarters (Q1–Q4). Hassles severity was calculated for each of the seven MEHS-R subscales (Academic and Time Pressures, Financial, Social, External Influences, Day-to-Day Functioning, Relationships with Immediate Family, Health). At orientation, the SWP group had significantly lower hassles severity than the Control group for all subscales except Financial (p ≤ 0.04). For the examination academic period, the Academic and Time Pressures and Day-to-Day Functioning hassles severities were significantly lower for the SWP group than the Control group after accounting for differences at orientation (p ≤ 0.05). For the vacation academic period, Financial hassles severity was significantly lower for the SWP group than the Control group (p ≤ 0.05). There were no significant differences between the SWP and Control groups during the routine academic period (p > 0.05). For first-year medical students, Academic and Time Pressures had the highest hassles severity (p < 0.001). These results indicated that holistic, school-sponsored student wellness interventions during the first year of medical school can significantly decrease the acute stress inherent in medical school, particularly during high stress examination academic periods.
The Impact of Breakfast Omission on Daily Activities and Academic Achievement: A Cross-Sectional Study at Fazaia Ruth Pfau Medical College
Authors: Asadullah Muhammad , Hashim Safia , Anwar Ayesha , Rehman Muhammad Abdul , Saleem Nimra , Muneeb Abdum
Published: September 2024

Breakfast omission can essentially impact daily activities and academic performance, leading to diminished energy, poor concentration, mood disturbances, and potentially lower academic accomplishment. Advancing the significance of a nutritious breakfast and ensuring access to such meals is crucial for physical and cognitive prosperity. Examine the effect of breakfast exclusion on daily activities and insightful achievement in specific people. This study intends to evaluate the potential significance of findings in the context of education, students' health, and overall success, thus focusing on existing exploration gaps. The null Hypothesis posits no significant relationship exists between breakfast omission and daily activities or academic achievement, while Alternate Hypothesis suggests a significant relationship exists between breakfast omission and a decline in daily activities and academic achievement. This exhaustive review, approved by the FRPMC Ethical Committee, employed a cross-sectional design with a sample of 400 students. A self-administered questionnaire was distributed during a non-exam period, with statistical analysis conducted utilizing SPSS version 22. It will be a cross-sectional study based on primary data gathered through a FRPMC, Karachi, Pakistan survey. Findings underscore the strong link between skipping breakfast and adverse outcomes, including cognitive function impairment, mood instability, and compromised overall well-being, emphasizing the essential role of breakfast in both physiological health and academic success.
Effectiveness of iso-inertial resistance training on muscle power in middle-older adults: a randomised controlled trial (Preprint)
Authors: Cadellans Arroniz Aïda , Blanco David , Madruga Parera Marc , Zárate Lozano Víctor , Dantony Flora , Romero Rodríguez Daniel
Published: September 2024

BACKGROUND

Resistance training is used to prevent the decrease in muscle strength associated with age.

OBJECTIVE

This study evaluates the effectiveness of iso-inertial training on power, physical performance, and risk of falls compared to gravitational training in physically active middle-older adults.

METHODS

Parallel-group, randomised controlled trial at Espai Esport Wellness Center (Granollers, Spain). Forty-four physically active adults (age >57) were randomised to iso-inertial (n=21) or gravitational (n=23) training groups (R software; 1:1 ratio). Participants had to complete a 6-week training program (2 sessions/week) consisting of three exercises (forward and side lunge, forward lunge with row). Primary outcome: power in the eccentric phase of each exercise evaluated with both iso-inertial and gravitational devices. Secondary outcomes: concentric power, physical performance, risk of falls. Only outcome evaluators were blinded. We used multivariate linear regression models for the analysis.

RESULTS

27 participants completed the program (n=15 iso-inertial, n=12 gravitational). Iso-inertial training showed better eccentric power gains than gravitational training for the iso-inertial system evaluation, although the difference was only statistically significant for the side lunge. Forward lunge: between-group difference 4.50 W (95% CI: -2.94 to 11.94, p=0.23); side lunge: difference 9.24 W (95% CI: 2.99 to 15.49; p=0.00); forward lunge with row: difference 15.25 W (95% CI: -0.63 -to 31.13, p=0.06). We observed no differences for the gravitational system evaluation nor for concentric power, physical performance, and risk of falls. The two groups improved remarkably from baseline for all outcomes.

CONCLUSIONS

Iso-inertial training leads to better eccentric power gains than gravitational training and therefore could be considered by clinicians when prescribing resistance training to middle-older adults. Both training systems were equally effective in improving concentric power and physical performance, and reducing risk of falls.

CLINICALTRIAL

This study was registered at Clinicaltrials.gov (NCT06160089).
Intervensi Perilaku dan Multisensori untuk Anak dengan ADHD yang Mengalami Gangguan Sensorik
Authors: Devi Inez Lyvia , Susetyo Yuli Fajar , Haryanta Haryanta
Published: September 2024

Gangguan sensorik merupakan permasalahan prevalen pada anak dengan ADHD sehingga membutuhkan intervensi yang tepat untuk mengatasi dampak dari kondisi tersebut terhadap keparahan gejala. Penelitian ini bertujuan untuk mengetahui dampak dari pemberian intervensi multimodal berupa terapi perilaku, stimulasi multisensorik, serta psikoedukasi kepada orang tua dan guru terhadap simtom ADHD pada seorang anak usia dini yang juga menampakkan gejala-gejala gangguan sensorik. Penelitian ini menggunakan desain studi kasus tunggal dengan teknik analisis visual inspection. Hasil menunjukkan bahwa intervensi multimodal yang diberikan pada partisipan menurunkan perilaku off-task dan meningkatkan perilaku on-task. Analisis kualitatif melalui lembar evaluasi terbuka serta wawancara terhadap orang tua dan guru juga menunjukkan adanya penurunan hiperaktivitas, impulsivitas, masalah perilaku, penghindaran tekstur, frekuensi tantrum, dan di sisi lain terjadi peningkatan interaksi sosial dengan teman sebaya. Temuan penelitian ini menjadi penting dalam meningkatkan pemahaman terhadap intervensi-intervensi yang efektif untuk selanjutnya meningkatkan kesejahteraan pada populasi anak ADHD dengan gangguan sensorik.
Adverse events following immunization (AEFIs) in health workers who receive COVID-19 vaccination at Academic Hospital Universitas Gadjah Mada, Yogyakarta
Authors: Lestari Ade Febrina , Sitaresmi Mei Neni , Haspitaningrum Anjarsari , Rachmasari Kusuma Ayu , Wulandari Ratih , Sari Shinta Kusumalarna , Ridhayani Firda
Published: September 2024

COVID-19 is a new viral infection that has become a global pandemic, resulting in extremely high mortality and morbidity rates worldwide, including in Indonesia. Vaccination is one of the strategies for preventing COVID-19 infection promoted by the World Health Organization (WHO) to reduce COVID-19 morbidity and mortality. The Indonesian government supports the implementation of vaccination and conducts mass vaccination as a strategy to overcome the pandemic in Indonesia. The high immunization coverage resulted in increased use of vaccines, and events following immunization (AEFI) also increased. Reports on follow-up AEFI are needed as government policy references and information for the public. This study aims to describe the following events after the COVID-19 vaccine immunization and the incidence of the infection post vaccination. The study design was a cross-sectional study using primary and secondary data. The data were analyzed descriptively and statistically using Chi Square method by identifying association between demographic data and AEFI incidence. A total 131 respondents were included. Most respondents experienced AEFI after giving the first (77.1%) or second (71.9%) vaccine with the Sinovac vaccine. However, all reported mild AEFI. Most reported AEFIs were pain (48.8% and 49.6%), hungry (37.4% and 10.0%), and drowsiness (32.1% and 23.7%) after the first and the second vaccine. In conclusion, the prevalence of AEFI in the first and the second dose of inactivated COVID-19 vaccine is higher than that reported in the clinical trial study although the all AEFIs are considered as mild.
PREFERENSI PASANGAN INFERTIL DALAM MEMILIH KLINIK INFERTILITAS
Authors: Susanto Utomo Natasha
Published: September 2024

Background: There has been increasing need for access to infertility care in Indonesia, leading several hospitals to establish infertility centers. RS Permata Hati Metro opened it’s infertility clinic to improve access and quality of infertility services. As competition grows with other hospitals also providing infertility sevices, it is crucial for RS Permata Hati Metro to understand the preferences of infertile couple to tailor their marketing startegies effectively.
Objectives: To identify the preferences of infertile couples at the RS Permata Hati Metro Infertility Clinic regaring desired infertility services.
Methods: This observational analytic study used a cross-sectional design and conjoint analysis. The sampel consisted of infertile couples who visited the clinic from April 2022 to April 2023.
Results: Success rate were identified as the most critical attribute in the decision-making process of infertile couples, at 46.64%, followed by the completeness of examination and treatment facilities (17.83%), the experience of the attending doctor (13.75%), service cost (12.78%), and the recommender (9%). Positive utility values indicated that recommendations from friends or family (0.014), the experience of specialist doctor who are fertility consultants (0.361), comprehensive examination facilities (0.361), higher success rates (1.011), and lower service costs (0.240). There was no significant difference in the order of attribute importance and utility values between wives and husbands.
Conclusions: A combination of attributes such as recommendations from friend or family, specialist doctors who are fertility consultants, comprehensive examination facilities, higher success rates, and lower service costs provide the most positive influence on infertile couples in choosing an infertility clinic.
MEKANISME PENGAJUAN KLAIM BPJS DI RUMAH SAKIT UMUM SILOAM KUPANG
Authors: Taslim Raditya Kevin Adrianto , Meliala Andreasta
Published: September 2024

ABSTRACT
Background: According to the Utilization Review from BPJS towards Siloam Hospitals Kupang on August 2022, BPJS claim submission of Siloam Hospitals Kupang is 2 months late. The delays is lowering the hospital score from BPJS, affecting the down payment given by BPJS, and may risk the claim to be expired.
Objective: The research aims to identify the suitability of BPJS claim submission flow, factors that causing delays in BPJS claim submission, and the role of factors associated with delays in BPJS claim submission by Casemix Unit of Siloam Hospitals Kupang.
Methods: The research is an exploratory case study with a single case research design with qualitative data presentation. Purposive Sampling is used to select the subject of this research, while the object of this research is all BPJS claim documents that have been verified by the Internal Verificator.
Results: While the flow of BPJS claim submission in Siloam Hospitals Kupang is suitable with regulation of the Minister of Heath, there are 286 (26%) inpatient claim files yet to be verified up until June 10th, 2023. The delays in BPJS claim submission is affected by the unreadiness of the administrative documents and patient’s medical record, discompliance to make sure of the administrative documents reliability and medical records completeness, discompliance to code and verify on time, higher workforce compared to the staff availability, lack of training, unavailability of SOP regarding the flow and requirement of BPJS claim submission, incomplete medical resume, and computer, network, also working space that need to be more comfortable for working environment.
Conclusion: Delays in BPJS claim submission by Casemix Unit of Siloam Hospitals Kupang is caused by factors such as staff’s compliance, number of staff, staff’s competence, hospital policies, completed BPJS claim files, Casemix unit facilities and infrastructure.
 
Keywords: Delay submission, BPJS claim, Casemix, Hospital
Developing Middle School Students' Speaking Skills According to the EFL Outdoor Practice of Speaking Theory (The OPOS Theory)
Authors: Shoseyov Anat
Published: September 2024

This study explores the development of middle school students' speaking skills in English as a foreign language (EFL), by exposure to a new teaching method, the Outdoor Practice of Speaking (OPOS) method. The speaking skills were practiced through speech activities and implemented outdoors and in public. This method was tested as a mixed-method case study via an intervention program to explore its effect on speech anxiety and speech competence in EFL. Study participants were 65 Israeli 14-year-old middle school girls from two different state-religious schools in the north of Israel: 32 students in the intervention group and 33 in the control group. The findings illustrate a significant difference (p < .01) in students' performance in all categories of speech (vocabulary, grammar, sentence structure, and coherence), as well as a significant improvement in score distribution. This improvement indicates the effectiveness of the OPOS method, and the desirability of practicing EFL speaking outside the classroom. OPOS offers EFL teachers worldwide a new method for enhancing students’ learning skills which can help them cope with their EFL anxiety and improve their spoken production. It can also be applied to older students with appropriate modifications.
The Vague Expressions in English News Headlines and Film Works
Authors: Zhang Fan
Published: September 2024

As a language phenomenon, vagueness has been a prevalent research subject in verbal communication. According to Dictionary of Language and Linguistics, vagueness is expressions that possess uncertain semantic content and undefined extensions, yet remain comprehensible. Hedges and fuzzy language frequently appear in mass media, including news articles, subtitles, and television shows. In film and television production, to enhance their global visibility, it is essential to account for the contextual and cultural differences between Chinese and foreign audiences during the translation of subtitles, in which the use of vague expressions plays an indispensable role. This paper investigated the use of vague expressions in news headlines and English subtitles of a Chinese film, analyzing their linguistic features and pragmatic functions within these specific contexts. The study aims to provide an overview of how vagueness is employed across the Chinese and English languages, shedding light on the translation tendency of Chinese translators towards the use of words in such communicative texts.
From Captivity to Empowerment: the Spectrum of Farida Khalaf’s Journey in The Girl Who Beat ISIS
Authors: Sarkar Pratima
Published: September 2024

Conflicts have existed between countries, races, groups, civilizations, customs, genders, castes, colors, religions, and even faiths from the beginning of human history. Numerous conflicts have been sparked by these divisions, which have had a lasting effect on society as a whole in addition to causing suffering and destruction personally. In this context, Farida Khalaf is a renowned name who through her memoir The Girl Who Beat ISIS explores a remarkable transformation from a victim of ISIS captivity to a symbol of resilience and empowerment. The paper examines the broader themes of resistance, survival, and the reclaiming of identity in the face of extreme adversity, emphasizing how Khalaf's journey transcends personal suffering to become a testament to human strength and empowerment, adding with the contemporary struggles for freedom and dignity.
"СМАРТС-Кванттелеком" разработал квантовый генератор случайных чисел
Authors: Алексеев А.Л.
Published: September 2024

Компания "СМАРТС-Кванттелеком", основанная в Санкт-Петербурге 10 лет назад докторами и кандидатами наук Университета ИТМО, сегодня стала одним из отечественных лидеров в областях квантовых коммуникаций и квантовой сенсорики. Решения компании применяются, в частности, в рамках Дорожной карты квантовых коммуникаций, которую успешно реализует ОАО "РЖД". В преддверии Международного военно-технического форума "АРМИЯ-2024" специалистами "СМАРТС-Кванттелеком" разработано очередное инновационное устройство – физический квантовый генератор случайных чисел. О новой разработке и сегодняшнем дне компании корреспонденту "ПЕРВОЙ МИЛИ" рассказал генеральный директор ООО "СМАРТС-Кванттелеком" А.Л.Алексеев.
Современные телекоммуникации и новая реальность
Authors: Ластович Б.А.
Published: September 2024

Национальная сеть электронных коммуникаций − неотъемлемая составляющая базовой сетевой инфраструктуры, одна из систем жизнеобеспечения страны. В условиях санкций, иных проблем новой геополитической реальности особую значимость приобретают вопросы обеспечения ее бесперебойной и качественной работы, снижение вероятности проявления связанных с телекоммуникациями системных рисков и угроз инфраструктурного характера. В статье обсуждается Стратегия развития отрасли связи Российской Федерации на период до 2035 года.
О предварительной оценке мультипликаторов космической экономики. Окончание
Authors: Щепнов С.Г.
Published: September 2024

В работе структурирована информация, относящаяся к космической экономике страны, и даются количественные оценки некоторых ее важных показателей. Проведена первичная оценка объемов космической отрасли Российской Федерации по ее секторам на макроуровне. Показано, что создание и эксплуатация космической инфраструктуры, включая системы спутниковой связи и вещания, обладают мультипликативным эффектом, выражающимся в создании добавленной экономической стоимости.
"МАРС ТЕХНОЛОГИИ" − новый резидент города инноваций Иннополис
Authors: Кожемяко А.П.
Published: September 2024

В ноябре 2023 года в составе Группы компаний "ТРИАЛИНК", которая отметит ближайшей осенью 30-летие со дня основания, появилась новая компания – ООО "МАРС ТЕХНОЛОГИИ" , зарегистрированая в Особой экономической зоне "Иннополис" в Республике Татарстан.
С появлением специализированной производственной компании объем выпуска востребованных на рынке импортозамещающих продуктов торговых марок "МАРС-АРСЕНАЛ", "МАРС-МОНИТОРИНГ" и RONET будет неуклонно возрастать. О создании и планах развития новой инновационной компании корреспонденту "ПЕРВОЙ МИЛИ" рассказал генеральный директор ООО "МАРС ТЕХНОЛОГИИ", коммерческий директор Группы компаний "ТРИАЛИНК" А.П.Кожемяко.
Геометрия контакта и технологические аспекты затылования зубьев зуборезных червячных фрез. Часть 3. Технологические аспекты оптимизации процесса затылования
Authors: Сандлер А.И.
Published: September 2024

Разработан метод расчета единого угла установки оси шлифовального круга для обработки обеих боковых поверхностей зубьев фрезы. Уточнены параметры технологичности процесса затылования, исключающие подрезание шлифуемых поверхностей зубьев при обработке.
Подход к совершенствованию систем диагностики технического состояния в авиационной отрасли на базе цифровых технологий
Authors: Позднякова Е.Д. , Потапов К.Г.
Published: September 2024

Представлен подход к анализу систем мониторинга с точки зрения принципов их построения. Предложено описание методики использования фазохронометрического подхода применительно к элементам трансмиссии вертолетной техники, а также описаны основные элементы программного обеспечения для обработки и анализа получаемой измерительной информации.
Development of a Mobile Liquified Petroleum (MLP) Gas Leakage Alert System with Multilingual Notifications
Authors: Anthony Uwadia Oluwafemi , Alan-Lodam Di Nrei
Published: September 2024

This project outlines the design and development of a Mobile Liquefied Petroleum (MLP) Gas Leakage Detection and Alert System with multilingual notifications for enhanced safety in an environment using Liquefied Petroleum Gas (LPG). The system continuously monitors LPG concentrations via an MQ-2 gas sensor and, upon detecting a leak, sends real-time alerts to users' mobile phones. Notifications are delivered in multiple languages, including English, Yoruba, Hausa, Igbo, and Berom(native language), making the system accessible to a diverse audience. The system features an ESP8266 microcontroller for gas level monitoring, with alerts displayed on an LCD and transmitted to a cloud platform for remote monitoring. It provides visual and audible warnings when gas levels exceed 550Parts Per Million (PPM), ensuring user safety. Key innovations include portability, low power consumption, and multilingual capability, ensuring quick and inclusive responses to gas leaks, with an average response time of 2.95 seconds. The system is cost-effective, user-friendly, and scalable for large-scale adoption in residential and industrial settings.
The Evolving Landscape of Site Reliability Engineering: Research and Innovations
Authors: Malladi Nagarjuna
Published: September 2024

This article explores the rapidly evolving landscape of Site Reliability Engineering (SRE), examining cutting-edge research and innovations shaping the field's future. It delves into key advancements such as integrating AI and machine learning in SRE practices, cloud-native SRE strategies, advanced observability and monitoring techniques, the evolution of chaos engineering, and the role of automation and DevOps in SRE. The article also discusses emerging research areas and challenges, including quantifying SRE impact, SRE culture and organization, talent development, and adapting SRE practices for emerging technologies. By providing insights into these trends and innovations, the article offers valuable perspectives for SRE professionals, software engineers, and business leaders on the future direction of system reliability and performance management in complex, distributed environments