bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immune-response gene 1 deficiency aggravates inflammation-triggered cardiac dysfunction by inducing M1 macrophage polarization and aggravating Ly6C high monocyte recruitment
Authors: Shen Song , Li Jianhui , Wei Zhonghai , Liu Yihai , Kang Lina , Gu Rong , Sun Xuan , Xu Biao , Li QiaoLing 
Published: September 2023

Abstract

Background
The role of immune response gene 1 (IRG1) and its product itaconate in sepsis-induced cardiac dysfunction (SIMD) has yet to be fully understood, despite its known anti-inflammatory and antioxidant effects mediated through diverse mechanisms.
Methods
In order to create an experimental sepsis model in vivo, mice were administered lipopolysaccharide (LPS) at a dosage of 10 mg/kg. The levels of itaconate/IRG1 in the cardiac tissue of mice with systemic inflammatory response syndrome (SIMD) were assessed. Sepsis was induced in both IRG1-knockout (IRG1−/−) mice and wild-type mice. Additionally, the impact of exogenous supplementation of 4-octyl itaconate (4-OI) on SIMD was further investigated. In order to ascertain the function and mechanism of 4-OI in an in vitro setting, we subjected bone marrow-derived macrophages and RAW264.7 cells to treatment with 4-OI and Nuclear factor, erythroid 2 like 2 (NRF2)–small interfering RNA prior to the administration of LPS. The impact of 4-OI was assessed through flow cytometry, western blot analysis, and quantitative real–time polymerase chain reaction (qPCR).
Results
During sepsis-induced myocardial dysfunction (SIMD), there was a significant increase in itaconic acid levels in the heart. In addition, the absence of IRG1 worsened septic myocardial injury, resulting in impaired cardiac function, heightened inflammatory response in the myocardial tissue, and increased infiltration of cardiac macrophages. Flow cytometry analysis revealed an increase in the polarization of M1 macrophages in the myocardial tissue, while M2 polarization decreased. Furthermore, there was an elevated infiltration of peripheral Ly6clow monocytes from the spleen into the myocardial tissue. Conversely, administration of 4-OI effectively preserved cardiac function and mitigated systemic inflammation. Mechanistically, 4-OI inhibited macrophage inflammation and promoted their polarization by activating the NRF2/HO-1 signaling pathway in vitro. Consistently, IRG1 expression serves as a natural protective mechanism against excessive inflammatory response during SIMD, and exogenous supplementation of 4-OI is protective in SIMD by regulating macrophage polarization.
Conclusion
IRG1/itaconate increased survival rate and attenuated cardiac dysfunction in SIMD by activating the NRF2 signaling pathway in macrophages.
Behavior of some Escherichia coli isolated from Water after exposure to UV-C 254-Study of their main biological and kinetic inactivation characteristics
Authors: Badi Souhir , Ammeri Rim Werheni , Abbassi Mohamed Salah , Snoussi Mejdi , Hassen abdenaceur 
Published: September 2023

Abstract
Wastewater treatment plants show an essential role in regulating the transmission of antibiotic resistance genes/antibiotic-resistant bacteria and antibiotics from wastewater into the natural environment. In our stud, polymerase chain reaction assays were used to characterize some Escherichia coli strains isolated from different sites of secondary wastewater. The virulence genotyping was released by multiplex PCR. Also, the genes encoding antibiotic resistance and biofilm development was monitored. In addition, an experiment in a batch laboratory UV-C irradiation device was released for selected strain. The obtained result of Congo red agar method revealed only four isolates as producing biofilm, and on the contrary, tetrazolium salt assay showed all E. coliisolates as highly strong biofilm producing. All these varied molecular and virulence selected E coli isolate characteristics have shown that the sensitivity to UV-C was variable from one strain to another, and the inactivation rates with a certain limit increased with the increase in UV-C dose. The kinetic parameters K and A calculated confirmed the variability of sensitivity to UV-C of the 4 strains of E. coli selected. Also, the study of the bacterial abatement showed that at a relatively high UV-C dose, the elimination reached over 99 % of E. coli, and corresponded to over 2 U-log10.
HIV-related Neurocognitive Disorder with Hallucinations and Delusions: A Case Report
Authors: Igata Junpei , Okamoto Naomichi , Tesen Hirofumi , Akiyama Maya , Ide Satoru , Ikenouchi Atsuko , Yoshimura Reiji 
Published: September 2023

Abstract

Background: In patients with human immunodeficiency virus (HIV) infection,HIV-associated neurocognitive disorder (HAND) occurs in 18-50% of cases. Symptoms, including memory impairment, impaired attention, concentration, executive dysfunction, slowed motor speed, apathy, personality changes, and abnormal behavior vary. However, psychotic symptoms, such as hallucinations and delusions, are rare. We report a case of HAND with hallucinations, delusions, abnormal behavior, irritability, and decreased motor and attention-processing speeds that were successfully treated with risperidone and aripiprazole.
Case presentation: A 39-year-old Japanese man with a 6-year history of HIV presented to our hospital with delusions, hallucinations, and cognitive dysfunction. Five years ago, he was admitted to our department with abnormal behaviors, such as trespassing in his residence and immobility. He was diagnosed with HAND after HIV secondary brain disease was ruled out. He was admitted with auditory and visual hallucinations. However, his symptoms improved with risperidone (4 mg). Two years previously, he stopped taking risperidone and became irritable. He was admitted to our department in October of the same year with hallucinations, delusions, slow movement, and decreased spontaneity. Misperception, delusions, abnormal behavior, and prolonged response latency were observed at the time of admission. On the third day of admission, aripiprazole was administered, and the dose was titrated to 30 mg. His hallucinations, delusions, abnormal behavior, and irritability disappeared. One year later, in March, a cognitive function test showed that his motor speed, attention-information processing speed, and activity had improved.
Conclusions: This patient presented with HAND hallucinations, delusions, abnormal behavior, hyperirritability, and cognitive dysfunction. Risperidone and aripiprazole effectively alleviated these symptoms, and the cognitive dysfunction showed reversible improvement. Clinicians should be aware of the possibility of hallucinations and delusions, which are rare symptoms in treating HAND. Additionally, they should consider the possibility of improved cognitive function and provide appropriate treatments.
Service migration in MEC: an Approach Based on Deep Reinforcement Learning and Fuzzy Logic
Authors: Zhang Xinyang , Bu Chao , Wang Jinsong 
Published: September 2023

Abstract
As a new computing paradigm, Mobile Edge Computing (MEC) sinks resources to the network edge to support real-time responses of services. Facing the demand for migrating services caused by the frequent movement of the mobile device, it is a great challenge to reduce the operation costs of migrating services with user requirements satisfied, especially for the continuous optimization of services deployed in hot spot areas. In order to address the above challenge, we propose the mechanism of dynamically migrating and optimally deploying services, which optimizes the latency and energy consumption of the service migration. Firstly, we introduce Markov Decision Process (MDP) to model changes of deployment locations of the single-user service, and devise the approach to determine whether to migrate a service at the current network status based on the dueling Deep Q-Network (DQN). Secondly, we propose the service pre-migration decision approach to determine where to migrate a service by combining the Long Short-Term Memory (LSTM) network and the attention mechanism, so as to determine the future moving area of the user and perform the migration decision in advance with the impact of migration service on service quality considered. Finally, we devise the distance-weighted matching algorithm based on the fuzzy logic to further optimize the selection of the most appropriate services to migrate in hotspot areas and the corresponding service migration regions, thus, the load pressure of the edge computing node caused by the imbalanced deployment density of service among multiple regions. Simulation results show that the proposed mechanism has significant improvements in overall operating costs compared with the cur-rent state of the art.
Dual Targeting of Prostate Cancer Cells and Tumor-Associated Macrophages for Mitigating Tumorigenesis and Metastasis: Hyaluronic Acid Functionalized Polymeric Nanospheres for CD44-Mediated Active Targeting
Authors: Naseem Mahnoor Ahmed , Jagal Jayalakshmi , Tarazi Hamadeh , Rawas-Qalaji Mutasem , Thu Hnin Ei , Hussain Zahid 
Published: September 2023

Abstract
Prostate cancer (PC) is the second leading cause of cancer-related fatalities in men due to enormous ability of progression, metastasis, and development of multidrug resistance (MDR). The existing conventional therapies are producing reasonable clinical response in PC patients; however, they are associated with substantial limitations. The advent of nanotechnology has resolved several key issues associated with conventional therapies; however, undesired pharmacokinetics, non-selective targeting, and evasion of tumor-associated macrophages (TAMs) yet persist as paramount challenge to current nano-therapies. Herein, we proposed dual targeting strategy for concurrent action against PC cells and TAMs hosted by tumor microenvironment. Henceforth, chitosan (CS)-based polymeric nanospheres (PNSPs) were fabricated via ionic-gelation method and functionalized with hyaluronic acid (polyanionic biological macromolecule) via electrostatic adsorption. HA was employed as a targeting ligand for CD44 receptors that are overexpressed on PC cells and TAMs. The optimized PNSPs were extensively pondered for physicochemical properties (particle size ⁓160 nm, PDI 0.453, zeta potential ⁓30 mV), morphology (smooth spherical), stability, release kinetics (biphasic and pH-responsive), cytotoxicity (lowest IC50), cell uptake efficiency, mechanism of cell internalization (CD44-mediated endocytosis), and anti-metastatic efficacy. Conclusively, our findings warranted that HA-functionalized PNSPs act as a double edge sword for dual targeting of PC cells and TAMs to mitigate cancer progression and metastasis.
Structural Inference on the Weibull Distribution Parameters Based on the Generalized Progressive Hybrid Censoring Scheme
Authors: Maswadah M. 
Published: September 2023

Abstract
It is widely known that structural probability intervals are usually just as effective as Bayesian probability intervals. However, the literature didn’t contain point estimation for the distribution parameters. Therefore, the main objective of this work is to find the structural point estimate for the Weibull distribution parameters based on the generalized progressive hybrid-censoring scheme. These estimates are compared to the Bayesian estimates via Monte Carlo simulation. The simulation results indicated that structural inference is highly efficient and provides better estimates than Bayesian inference based on different priors. Finally, two real datasets are analysed to demonstrate the efficiency of the proposed methods.
The Kernel Inference on the Rayleigh Distribution based on the Complete Sample
Authors: Maswadah M. 
Published: September 2023

Abstract
In this paper, we suggest a procedure based on the non-parametric kernel function as an alternative and reliable technique for estimation in life-testing models directly from the data without any prior assumptions about the underlying distribution parameters. The efficiency of this technique has been studied compared to Bayesian estimation based on both non-informative and informative conjugate priors, which indicates the robustness of the proposed method over the Bayesian approach. To clarify that, via Monte Carlo simulations, we derived the point and interval estimates of the parameter and the reliability of the Rayleigh distribution based on the two approaches. Finally, a numerical example is given to illustrate the densities and the inferential methods developed in this paper.
Stigma and Its Influencing Factors in Patients with Head and Neck Cancer
Authors: Peng Hsi-Ling , Chen Shu-Ching 
Published: September 2023

Abstract

Aims: Head and neck cancer (HNC) patients often suffer from stigma after treatment. The purpose of this study was to assess perceived body image, depression, physical function, psychosocial function, and stigma, as well as to identify factors associated with stigma in patients with HNC.
Methods: This cross-sectional study recruited 156 HNC patients from the outpatient radiation department of a medical center in Northern Taiwan. Patients were assessed for patient reported outcomes using the Body Image Scale (BIS), the Hospital Anxiety and Depression Scale–Depression Subscale (HADS–Depression Subscale), the University of Washington Quality of Life Scale (UW-QOL) version 4.0, and the Shame and Stigma Scale (SSS). Data were analyzed by descriptive analysis, Pearson’s product-moment correlation, and multiple regression.
Results: The two top ranked subscales of stigma were: “speech and social concerns” and “regret”. Stigma was positively correlated with younger age, longer time since the completion of treatment, being employed, body image dissatisfaction, depression, less physical function, and less psychosocial function. Multiple regression analysis showed that higher levels of body image concern, greater depression, a longer time since completing treatment, younger age, and less physical function were associated with greater stigma. These factors explained 69.2% of the variance in stigma.
Conclusion: Patients’ body image concerns strongly influence overall stigma as well as each subscale of stigma. Oncology nurses should assess and record psychological status, provide available resources, and refer appropriate HNC patients to counselling.
A cognitive study on endocarditis among students of the Faculty of Medicine at the Syrian Private University
Authors: badran Ali khaled , Al-Daher Nizar 
Published: September 2023

Abstract
Introduction: Infective endocarditis (IE) is a life-threatening disease caused by the attachment of bacteria to the lining of the heart and heart valves, and can be caused by bacterial contamination of the bloodstream during invasive dental procedures or various surgical procedures. Assessing students' awareness of this disease could, in the long term, improve patient care and reduce the risk of developing this disease, thus improving the quality of life for those afflicted with this disease and reducing the health and economic burdens associated with it. Our goal in this study is to evaluate awareness among students of the Faculty of Medicine at the Syrian Private University about endocarditis.
Methods: A cross-sectional study, conducted at the Syrian Private University, including 240 male and female students from 6/7/2023 to 8/26/2023. It included students from the Syrian Private University, Faculty of Human Medicine. Via a self-completed questionnaire.
Results: Out of 240 students who participated in the study, the percentage of females was 124 (51.7%), and males were 116 (48.3%). The largest proportion of sixth-year students was 94 (39.2%). The ages of participating students ranged from 18-27 years, with an average age of 24 years. The students' source of information, university courses, was 160 (58.8%). It was found that students had good awareness about endocarditis 214 (89.2%). Female students had greater knowledge about the disease (91.9%), compared to males (86.2%). The sixth-year students' knowledge was the greatest, 88 (93.6%), followed by the fifth-year students, 35 (92.1%).
Familiarity, Autonomy, and Safety Together (FAST): A program for adults with dementia and their caregivers
Authors: Bachmann James 
Published: September 2023

Almost 50 million people worldwide are currently living with dementia, with approximately half a million and six million of those people living in Canada and the United States, respectively. Familiarity, Autonomy, and Safety Together (FAST) is a program idea for adults living with dementia and their family caregivers that draws upon the ideas of familiarity, autonomy, and safety that underlie dementia villages, a recent development in residential care facilities for people living with dementia. FAST uses themed stations that emphasize familiarity and which program participants living with dementia can move about and participate in at will, providing an often lost sense of autonomy. At the same time, caregivers, who often suffer from burnout and related problems, are provided an opportunity to socialize with each other and receive education and support. In this way, people living with dementia and their caregivers can independently benefit from the FAST program. Further, many libraries will be able to provide the FAST program at little or no cost to the library, and a modified version of the FAST program can be brought to patrons in other locations, such as a residential care facility.
Deep Learning Approaches for Nusantara Scripts Optical Character Recognition
Authors: Prasetiadi Agi , Saputra Julian , Kresna Iqsyahiro , Ramadhanti Imada 
Published: September 2023

The number of speakers of regional languages who are able to read and to write traditional scripts in Indonesia is decreasing. If left unaddressed, this will lead to the extinction of Nusantara scripts and it is not impossible that their reading methods will be forgotten in the future. To anticipate this, this study aims to preserve the knowledge of reading ancient scripts by developing a Deep Learning model that can read document images written using one of the 10 Nusantara scripts we have collected: Bali, Batak, Bugis, Javanese, Kawi, Kerinci, Lampung, Pallava, Rejang, and Sundanese. While previous studies have made efforts to read traditional Nusantara scripts using various Machine Learning and Convolutional Neural Network algorithms, they have primarily focused on specific scripts and lacked an integrated approach from script type recognition to character recognition. This study is the first to comprehensively address the entire range of Nusantara scripts, encompassing script type detection and character recognition. Convolutional Neural Network, ConvMixer, and Visual Transformer models were utilized and their respective performances were compared. The results demonstrate that our models achieved 96% accuracy in classifying Nusantara script types, with character recognition accuracy ranging from 93% to approximately 100% across the ten scripts.
Rancang Bangun Alat Uji Model Fondasi Sebagai Penunjang Penelitian Di Laboratorium Mekanika Tanah
Authors: Suratman Suratman 
Published: September 2023

Provinsi Riau merupakan daerah dengan demografi berada di wilayah pesisir timur Sumatera. Berdasarkan letak geografisnya tanah di provinsi Riau didominasi berupa tanah lunak. Struktur fondasi merupakan salah satu fokus penelitian di laboratorium mekanika tanah pada jurusan teknik sipil Universitas Riau. Untuk menunjang penelitian memerlukan sebuah alat pengujian model fondasi. Berdasarkan hal tersebut, maka dalam penelitian ini dirancang sebuah model pengujian fondasi yang dikombinasikan dengan alat yang tersedia di laboratorium. Metode penelitian ini berupa eksperimen dan rancang bangun model alat pengujian fondasi berupa bak yang terbuat dari pelat dengan rangka besi. Bak ini akan berfungsi sebagai tempat sampel tanah sebagai media penanaman model fondasi tiang. Pengukuran beban fondasi digunakan alat CBR lapangan dengan sedikit modifikasi. Unjuk kinerja alat dilakukan setelah tahapan perancangan dan pembuatan model alat. Pengujian unjuk kinerja terhadap model alat pengujian fondasi dilakukan dengan melakukan pengujian model fondasi tiang yang terbuat dari mortar beton dengan diameter 3 cm dan panjang penanaman 30 cm. Tahapan unjuk kinerja alat ini dilakukan untuk mengetahui apakah rancangan model alat berfungsi dengan baik. Diharapkan hasil rancang bangun alat ini bermanfaat untuk menunjang penelitian di laboratorium Mekanika Tanah Jurusan Teknik Sipil Fakultas Teknik Universitas Riau.Hasil pengujian menunjukan konsistensi hasil pengukuran dengan nilai daya dukung fondasi tiang sebesar 40,61 – 42,82 N. Dengan hasil yang konsisten ini mengindikasikan bahwa alat hasil rancang bangun model fondasi dengan menggunakan alat CBR lapangan berfungsi dengan baik sehingga dimanfaatkan oleh peneliti sebagai alat pengujian model fondasi.
Uji Efektifitas Perasan Jeruk Nipis (Citrus aurantifolia.S) Sebagai Hand Sanitizer Alami Terhadap Daya Hambat Pertumbuhan Bakteri
Authors: Poejiani Soeyati 
Published: September 2023

Perasan jeruk nipis mengandung beberapa bahan aktif utama yang dapat berperan sebagai antibakteri meliputi flavonoid, asam sitrat, dan limonen. Acinetobacter baumannii adalah bakteri berbentuk batang tergolong bakteri Gram-negatif yang mempunyai sifat aerob, tidak bergerak atau non-motil. Tujuan dari penelitian ini untuk mengetahui efektifitas perasan jeruk nipis sebagai hand sanitizer alami terhadap daya hambat pertumbuhan bakteri Acinetobacter baumannii. Penelitian ini menggunakan metode difusi cakram dimana aktifitas antibakteri dari perasan jeruk nipis ditentukan oleh konsentrasi hambat minimum (KHM). Variasi konsentrasi yang digunakan adalah 10%, 20%, 30%, 40%, 50%, 0% (kontrol negatif), dish Meropenem 10µg( kontrol positif). Berdasarkan penelitian diperoleh KHM perasan jeruk nipis pada konsentrasi 10%. Data pengujian zona hambat dianalisis menggunakan One Way Annova. Penelitian ini menunjukkan hasil, bahwa KHM perasan jeruk nipis pada konsentrasi 10% menunjukan zona hambat 7,74 mm lebih luas dibandingkan antibiotik Meropenem 10µg dengan zona hambat 6 mm Testing The Effectiveness of Lime Juice (Citrus aurantifolia.S) as a Natural Hand Sanitizer Against The Growth Inhibitory of The BacteriaLime juice contains several main active ingredients that can act as antibacterial including flavonoids, citric acid, and limonene. Acinetobacter baumannii is a rod-shaped bacterium belonging to the Gram-negative bacteria which has aerobic, immobile or non-motile. This purpose of this study was to determine the effectiveness of lime juice as a natural hand sanitizer against the growth inhibition of Acinetobacter baumannii bacteria. The research used the disc diffusion method in which the bacterial activity of lime juice was determined by the minimum inhibitory concentration (MIC). Various concentration used were 10%, 20%, 30%, 40%, 50%, 0% (negative control), 10µg Meropenem dish (positive control). Based on the research obtained MIC of lime juice at a concentration of 10%. Inhibition zone test data were analyzed using One Way Annova. The research showed the results, that the MIC of lime juice at a concentration of 10% showed an inhibition zone of 7.74 mm wider than the antibiotic Meropenem 10µg with an inhibition zone of 6 mm.