bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN REHABILITASI BAGI PENYALAHGUNA NARKOTIKA DI KOTA MOJOKERTO MENURUT UNDANG-UNDANG NOMOR 35 TAHUN 2009 TENTANG NARKOTIKA
Authors: Firmansyah Puguh Ega , Babussalam A Basuki
Published: November 2023

Penyalahgunaan narkotika merupakan permasalahan serius yang dihadapi oleh banyak negara, termasuk Indonesia. Dalam upaya mengatasi masalah ini, pemerintah Indonesia telah mengesahkan Undang-Undang Nomor 35 Tahun 2009 tentang Narkotika yang mengatur tentang berbagai aspek terkait narkotika, termasuk rehabilitasi bagi penyalahguna. Salah satu kota di Indonesia yang melaksanakan upaya rehabilitasi narkotika adalah Kota Mojokerto. Penelitian ini bertujuan untuk menganalisis penerapan rehabilitasi bagi penyalahguna narkotika di Kota Mojokerto berdasarkan Undang-Undang Nomor 35 Tahun 2009 tentang Narkotika. Metode yang digunakan dalam penelitian ini adalah metode yuridis empiris dengan pendekatan studi kasus. Data yang digunakan dalam penelitian ini diperoleh melalui wawancara dengan pihak terkait, analisis dokumen hukum, dan studi pustaka. Hasil penelitian ini menunjukkan bahwa penerapan rehabilitasi bagi penyalahguna narkotika di Kota Mojokerto telah dilakukan sesuai dengan ketentuan yang tercantum dalam Undang-Undang Nomor 35 Tahun 2009 tentang Narkotika. Pemerintah Kota Mojokerto telah menjalankan program rehabilitasi yang meliputi pengobatan medis, terapi perilaku, dan reintegrasi sosial untuk membantu penyalahguna narkotika pulih dan kembali berkontribusi dalam masyarakat. Namun, penelitian ini juga mengidentifikasi beberapa permasalahan yang dihadapi dalam penerapan rehabilitasi narkotika di Kota Mojokerto. Hal tersebut meliputi keterbatasan sumber daya manusia dan anggaran, kurangnya kesadaran masyarakat tentang pentingnya rehabilitasi, serta stigmatisasi terhadap penyalahguna narkotika. Oleh karena itu, diperlukan upaya yang lebih besar dalam meningkatkan efektivitas program rehabilitasi, termasuk peningkatan koordinasi antara berbagai lembaga terkait dan peningkatan edukasi kepada masyarakat. Kesimpulan dari penelitian ini adalah penerapan rehabilitasi bagi penyalahguna narkotika di Kota Mojokerto sesuai dengan Undang-Undang Nomor 35 Tahun 2009 tentang Narkotika merupakan langkah yang penting dalam mengatasi masalah penyalahgunaan narkotika. Meskipun masih dihadapkan pada tantangan dan hambatan, melalui upaya peningkatan fasilitas rehabilitasi, sosialisasi kepada masyarakat, dan penguatan kerjasama antarinstansi, diharapkan program rehabilitasi dapat berjalan dengan lebih baik dan memberikan dampak positif dalam mengurangi penyalahgunaan narkotika serta membantu para penyalahguna untuk pulih dan berkontribusi kembali dalam masyarakat.
PELAKSANAAN PERJANJIAN PEMBIAYAAN MULTIGUNA DENGAN CARA PEMBELIAN DENGAN PEMBAYARAN SECARA ANGSURAN DENGAN JAMINAN FIDUSIA (Studi Putusan Nomor 24/Pdt.GS/2020/PN Pti)
Authors: Irianto Kartika Dewi , Suryamizon Anggun  Suryamizon Lestari , Adriaman Mahlil , Kasman Reta Permata
Published: November 2023

Pelaksanaan perjanjian pembiayaan multiguna dengan cara pembelian dengan pembayaran secara angsuran dengan jaminan fidusia antara PT. Reksa Finance yaitu Badan Usaha Khusus guna melakukan kegiatan pembiayaan untuk pengadaan barang dan jasa yang dalam perjanjian pembiayaan multiguna antara Penggugat dengan Tergugat yang telah sepakat mengadakan perjanjian untuk membayar kepada Penggugat sejumlah uang yang akan jatuh tempo setiap bulannya, namun ternyata Tergugat tidak menepati janji untuk membayar angsuran setiap bulannya. Penelitian ini merupakan penelitian Yuridis Normatif. Pengumpulan data dilakukan dengan cara penelitian perpustakaan (library research) dengan metode analisis kualitatif. Putusan pengadilan terhadap penyelesaian kasus perjanjian pembiayaan multiguna dengan cara pembelian dengan pembayaran secara angsuran dengan jaminan fidusia terdapat dalam Paraturan Menteri Keuangan Nomor 84/PMK.012/2006 Tentang Perusahaan Pembiayaan dan Undang-Undang Nomor 42 Tahun 1999 tentang Jaminan Fidusia terkait pertimbangan hakim yang mengabulkan beberapa petitum dikarenakan penggugat tidak jelas dalam perkara kasusnya maka dari itu penggugat diharuskan melengkapi berkas dalam perkara ini agar pertimbangan hakim dapat berjalan sesuai Undang- Undang yang berlaku. Dalam pertimbangan-pertimbangan hakim pada putusan ini yaitu menolak sebagian gugatan penggugat dan menerima sebagian gugatan dari penggugat, yaitu dikarenakan mengenai sipenggugat tidak pernah hadir dalam persidangan, tidak mengajukan saksi,tidak mengajukan alat bukti maupun hal-hal lain yang diajukan
Perspective of Neuroimaging-Based on Epilepsy Monitoring Technology
Authors: Yuan Yitong
Published: November 2023

Epilepsy is a long-standing illness defined by short episodes of aberrant brain activity caused by abrupt cell discharges. The illness is not communicable and might linger for a long period. Epilepsy affects roughly 50 million individuals worldwide, making it a prevalent neurological illness. Epilepsy monitoring is the most significant element of epilepsy diagnosis and also plays an important role in diagnosing the origin of epilepsy, assessing prognosis, and directing therapy. This paper details the principles and basic algorithmic models of commonly used neuroimaging techniques and describes the role of different monitoring techniques in the diagnosis and treatment of epilepsy. The paper compares the advantages and disadvantages of different monitoring techniques in their application and explores a comprehensive and less restrictive epilepsy monitoring protocol for readers and relevant researchers. Currently, electroencephalography (EEG) is the most common technique for monitoring epilepsy, and its most basic algorithmic models are independent component analysis (ICA) and discrete wavelet analysis (DWA), which are used for aspects such as noise removal and feature extraction. This article is dedicated to helping the reader or relevant researcher to gain a more comprehensive and systematic understanding of current neuroimaging techniques and medical devices. Furthermore, it seeks to forecast future research directions based on current difficulties in the area. The purpose of this study is to give a useful reference for future research in the field of epilepsy monitoring.
Establishment of a Colloidal Gold Immunochromatographic Method for the Detection of Cypermethrin in Tobacco
Authors: Wang Chunqiong , Chen Dan , Zhang Xiaowei , Qing Shichun , Chen Haiyan , Cai Jieyun , Long Jie , Gu Jianlong , Sun Haowei , Zhang Ke , Wan Yuping
Published: November 2023

In this study, the establishment of a colloidal gold immunochromatographic method for the detection of cypermethrin in tobacco was achieved by using colloidal gold immunochromatography: strong specificity and high sensitivity of cypermethrin semi-antigens and encapsulants were prepared during the study. The best colloidal gold solution was prepared by spectrophotometer and transmission electron microscope screening; the preparation process of gold-labeled antibodies was optimized, and finally the product of colloidal gold rapid detection test strips for cypermethrin was developed. The results of technical parameters and detection indexes showed that the detection limit of cypermethrin in tobacco was 1 mg/kg, and there was no cross-reaction with bifenthrin, cypermethrin, cyfluthrin and phenothrin, and the detection results of 30 tobacco samples were consistent with those of gas chromatography.
Exploring of Diverse Plant Communities and Adaptation to Drought Conditions Based on Advanced Logistics Model with Variable Growth
Authors: Guo Yining , Liang Longxi , Liang Wentao
Published: November 2023

Bio reciprocal symbiosis is very common in nature, such as soybeans providing food for rhizobia, which uses atmospheric nitrogen to synthesize nitrogen to provide nutrients to soybeans. This paper proposes an advanced Logistic model that adjusts to changes in precipitation and an environmental capacity parameter that varies with the level of symbiosis. The aim is to precisely depict the symbiotic relationship between plants and the interplay among symbiosis, competition, and independent growth of each population in the plant community, as precipitation changes by adapting finite difference method and tertiary Hermit interpolation. The model in this paper offers a comprehensive understanding of how plant populations interact with one another, providing valuable insights into the dynamics of plant growth and development. This paper finally finds that a combination of woody and herbaceous plants had the highest growth rate and total biomass, while herbaceous-only plants required 7 times longer to reach environmental capacity. This paper also reveals that irregular weather patterns, and different levels of species biomass can have different impacts on the recovery time of plant communities after drought or damage, and different types of pollution can have various effects on the community’s regeneration, while the effect of overgrazing is the smallest.
Alloprevotella Can be Considered as a Potential Oral Biomarker in Intestinal Metaphase of Gastric Patients
Authors: Liu Yuting , Wang Huiwen , Jiang Haiyang , Sun Zhumei , Sun Anyang
Published: November 2023

Gastric cancer is a malignant tumor with high incidence and death rate. Every year, Approximately 950,000 new cases of gastric cancer occur globally with nearly 700000 deaths,so gastric precancerous lesions(GPL) was crucial and important.At present, the effective diagnostic methods for gastric precancerous lesions are generally gastroscope and pathological changes of gastric mucosal, but those methods were invasive and would bring some pains to patients and not suitable for frequent and large-scale screening of gastric cancer or GPL.This study aimed to look for a sensitive,effective and non-invasive diagnostic method to improve the early diagnosis rate of GLP, and thereby reduce the incidence and death rate of gastric cancer.Tongue diagnosis is one of the classic diagnostic methods in traditional Chinese medicine(TCM).The tongue was closely related to the spleen and stomach.In the study, we collected 133 patients with chronic gastritis, including 53 cases in inflammatory group, 31 cases in atrophic group, and 49 cases in intestinal metaplasia group. and we analyzed the correlation between tongue,microbiota of tongue coating and clinical symptoms of GLP.The results showed that greasy coating was closely related to the intestinal metaphase of patients, indicating that greasy coating was closed link with intestinal metaphase phase of patients.Abundance of 209 genus were significant differences between greasy and non-greasy coating in intestinal metaphase phase of patients, Top10 were Streptococcus,norank_p__Saccharibacteria,Alloprevotella, Atopobium, Megasphaera, Gemella, Moraxella,unclassified_f__Prevotellaceae, Solobacterium and Stomatobaculum. Alloprevotella and Streptococcus were important genus markers and Alloprevotella was selected as a potential oral biomarker to diagnose intestinal metaphase phase of patients, the AUC value is 0.74.
Development of Colloidal Gold Test Strips for the Detection of Triadimenol Residues in Tobacco
Authors: Wang Chunqiong , Zhang Ke , Li Dan , Zhang Xiaowei , Gu Jianlong , Long Jie , Cai Yongzhan , Bu Yunhong , Sun Haowei , Cai Jieyun , Ding Yishu , Chen Dan
Published: November 2023

The rapid and accurate determination of triadimenol residues is of great significance. In this study, based on the advantages of high efficiency, rapidity, reliability, simplicity and low cost of immunology, a test strip product for the rapid detection of triadimenol residues in tobacco was designed based on the optimization of conditions such as pH and dosage of diluent, concentration of antibody stock solution, type of confining solution and complex solution, with high specificity, accuracy and The results of 20 samples of fresh and first roasted tobacco were all consistent with the method of gas chromatography, which proved the reliability of the test strips. The detection limit for fresh and roasted tobacco was 5 mg/kg, and the test strips developed in this study are suitable for mass testing of tobacco samples in tobacco-related laboratories because of their short detection time, simple pre-treatment and detection methods, and good application prospects.
Research on Pectoral Muscle Segmentation Algorithm of CT Image Based on Deep Learning
Authors: Wang Ying , Zhou Ping , Zhao Xingqun
Published: November 2023

Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, which seriously endangers human health and is also one of the important causes of death. The death rate of COPD in China is the highest in the world, and the problem of under-diagnosis of the disease is very serious. The gold standard for the diagnosis of COPD is lung function examination, and clinical studies have shown that CT and other imaging methods can be included in the auxiliary diagnosis of COPD. CT images can be used to assess pectoral muscle area, which is associated with COPD severity. Patients with lower pectoral muscle area often have more severe expiratory airflow obstruction and other problems. Therefore, the key of the research is to accurately segment the pectoral muscle in CT images. The medical image segmentation method based on deep learning can dig out more abundant internal information of data, so it has gradually become the preferred method in the aspect of medical image segmentation. In this paper, a pectoral muscle segmentation algorithm based on U-Net and its variant U-Net++ is proposed, which is of great significance for evaluating the severity of disease in patients with COPD. The network is composed of symmetrical encoders and decoders, which can effectively learn from very little labelled data by using appropriate data enhancement methods, and is therefore very suitable for medical image segmentation. The experimental results on the data set provided by Jiangsu Province Hospital show that the average Dice coefficient of the proposed algorithm is more than 94% and the average accuracy rate is 91%. The algorithm can accurately segment the pectoral muscle in CT images and has good segmentation performance.
Screening of Deoxynivalenol Cyclic Heptapeptide Mimotope Antigen
Authors: Ji Wenhui , Liu Renrong , Wu Shanshan , Ma Hailing , Wu Ziyao , Liu Wenjing , Hou Shumin
Published: November 2023

In this study, phage clones that can bind to DON were selected from the phage cyclohepta peptide library by screening through the principle of solid-phase affinity, and mimotope were synthesized to replace the DON toxin standard to establish a green low toxicity detection system. The author conducted four rounds of screening in the phage cyclic heptapeptide library with DON-10a1a monoclonal antibody as the target molecule. Then 38 phage clones were selected and validated, and the results showed that 35 of them could bind to the DON-10a1a monoclonal antibody and were inhibited by DON toxin. Finally, the DNA was extracted and sequenced to obtain 6 different DNA sequences, which were named D1-D6 respectively. The peptides synthesized according to the corresponding amino acid sequences can replace DON toxin to establish a series of green and low toxicity assays.
Experimental Design of X-CT Imaging
Authors: Wang Yuexi
Published: November 2023

This paper designs an X-CT imaging experiment using mouse samples and LEYBOLD X-ray apparatus, which can simulate the actual diagnosis under laboratory conditions, and help people understand the X-ray images of various human tissue and organs, as well as helping doctors quickly determine which tissue and organs have lesions during clinical diagnosis. At the same time, this article also compares mouse samples with dry frog samples used in previous experiments to demonstrate the advantages of the mouse samples.
Rapid Identification of Three Gram-Negative Bacteria by Surface-Enhanced Raman Spectroscopy
Authors: Lin Yongbin , Wu Zhiwei
Published: November 2023

Gram-negative bacteria had been regarded as several important sources of lethal infection. Rapid identification of pathogenic bacteria is extremely important for the diagnosis and clinical treatment of diseases. In current study, three gram-negative bacteria, including Klebsiella aerogenes, Enterobacter cloacae and Escherichia coli, were used to access the feasibility of characterizing Gram-negative bacteria by surface-enhanced Raman Spectroscopy (SERS). Bacterial samples were from Escherichia coli isolates (n=1000), Klebsiella aerogenes isolates (n=1000) and Enterobacter cloacaeand isolates (n=1000). The differences of three Gram-negative bacteria were characterized by SERS spectra. Furthermore, four multivariate statistical algorithms based on the combination of principal component analysis (or partial least squares) and linear discriminant analysis (or support vector machine) were used to discriminate the spectra of three gram-negative bacteria.
Prediction of CCLE Dataset Based on Integrated SVM Method
Authors: Yu Zhuorui
Published: November 2023

In this paper, we focus on the prediction and analysis of biogenetic data with high complexity by building integrated SVM models. Considering the complexity and high dimension of data set, we adopt the integration method based on sample segmentation to build the model. The results of the CCLE data analysis show that the model we used has better prediction results and smaller prediction variance than the generalized linear model, the integrated generalized linear model, and the original SVM model.
Bio Informatics Analysis of the Relationship Between Mammalian Target of Rapamycin and Colorectal Cancer
Authors: Han Lihong , Lin Lirong , Chen Jingru , Yan Bin
Published: November 2023

Objective: The purpose of this paper is to promote the medical treatment of colorectal cancer in our country and to save the lives of patients with colorectal cancer by studying mammalian target of rapamycin (mTOR) and the biologic information analysis of colorectal cancer. Methods: We analyzed mTOR expression and survival differences using data from Coad & read from the TCGA public database and explored the coexpression regulatory network of mTOR. mTOR-regulated mirnas were screened using the Linked Omics database. In addition, we explored the association of mTOR with drug sensitivity, immune cell correlations, microsatellite deletions, tumor mutational burden, and mutational analysis. Results: The expression and survival of mTOR were significant different in colorectal cancer, and were related to the sensitivity of Bleomycin, Cisplatin and Gemcitabine. mTOR is associated with dendritic cell activation, NK cell dormancy, dendritic cell dormancy, and eosinophil granulocyte. mTOR is associated with microsatellite deletions, and tumor mutational load. Conclusions: Based on these findings, we consumer mTOR as a biomarker for the diagnosis and prognosis of colorectal cancer.
Therapeutic Efficacy of Oxaliplatin and Pembrolizumab Combination Treatment for Triple-Negative Breast Cancer
Authors: Chu Sze Ling
Published: November 2023

Breast cancer is the most commonly diagnosed cancer with over 2.3 million new cases diagnosed and 685,000 deaths worldwide in 2020. Triple-negative breast cancer (TNBC), which is characterized by high invasiveness, high metastatic potential, poor prognosis, and proneness to relapse, accounts for approximately 15–20% of all cancer types. Despite the numerous treatments available, it is reported that TNBC patients develop resistance to chemotherapeutic drugs frequently and have a relatively low response rate to immunotherapy due to insufficient T-lymphocyte infiltration. In this study, human breast cancer cells MDA-MB-231 are treated with increasing concentrations and treatment durations of Oxaliplatin to investigate the anti-cancer potential of Oxaliplatin. A xenograft assay with MDA-MB-231 is further pursued to test the efficacy of the combination treatment of Oxaliplatin and Pembrolizumab, a monoclonal anti-PD-1 antibody. For the xenograft assay, tumor growth is measured after receiving Oxaliplatin followed by Pembrolizumab. Immunogenetic cell death (ICD) in vitro is measured by flow cytometry of calreticulin (CRT) and Western blot of high mobility group protein B1 (HMGB1) in supernatant; cytotoxic T-lymphocyte infiltration is measured in the xenograft model via flow cytometry using T-cell markers from cells retrieved from the tumor mass; tumor growth is measured using the digital caliper. The result of this study provides insight into the anti-cancer potential of Oxaliplatin and Pembrolizumab combination treatment in TNBC, providing a reference for future studies of combining chemotherapy and immunotherapy in treating breast cancer.
Analysis of Inhibitory Behaviour of Ferulic Acid and p-Coumaric Acid on Saccharomyces Cerevisiae Cells
Authors: Ge Xiaoli , Li Yuxiang , Wang Pucheng , Liu Tongjun
Published: November 2023

Metabolomics has been widely used to identify changes in relevant differential metabolites. The metabolites of Saccharomyces cerevisiae cells supplemented with ferulic acid and p-coumaric acid were prepared and extracted. Untargeted metabolomics analysis of saccharomyces cerevisiae metabolites was performed. In addition, GNPS, Respect and MassBank databases were used to search and compare the information in the whole database. It was found that 100 and 92 different metabolites were significantly changed (P value < 0.05,VIP value > 1,) in Saccharomyces cerevisiae cells treated with ferulic acid and p-coumaric acid respectively. Including isothiocyanate, L-threonine, adenosine, glycerin phospholipid choline, niacinamide and palmitic acid. These metabolites with significant differences were enriched by KEGG pathway using MetPA database.
Anti-Inflammatory Mechanism of Ligustrum Lucidum Ait Based on Network Pharmacology and Molecular Docking
Authors: Ji Cheng’ao
Published: November 2023

Objective: To investigate possible targets of Ligustrum lucidum and its anti-inflammatory mechanism. Core targets were screened by the established networks of component target and potential protein interaction, accompanied by GO and KEGG analyses. The findings were confirmed using molecular docking. Results: eight active components including Quercetin, luteolin, kaempferol and corresponding 163 potential targets, including CCL2, IL6, CXCL8, TNF, IL1B, were identified with a threshold of OB ≥ 30% and DL ≥ 0.18%. 1018 anti-inflammatory targets were acquired, with 101 common targets identified by mutual mapping. 172 nodes and 287 edges are readable in the “component target” visualization network graph. The KEGG analysis identified 20 significantly differentiated signaling pathways, including IL-17, toll-like receptor, TNF, HIF-1, lipid and atherosclerosis. Conclusion: Molecular docking has verified the binding sites and energies of the chemical components in Ligustrum lucidum with key anti-inflammatory proteins, providing a theoretical basis for its clinical use and development.
Detection of Antibiotic Resistance and Analysis of Resistance Genes and Virulence Genes of Salmonella Isolated from Human
Authors: Li Chengyu , Jiang Zhaoxu , Liu Zhenhai , Dong Xiaorui , Yan Shigan , Zhu Liping
Published: November 2023

Salmonella is a food-borne pathogen that can cause zoonoses. The emergence of drug-resistant strains of Salmonella is of great concern. It is necessary to understand the prevalence of antibiotic resistance, antibiotic resistance genes and virulence genes in human Salmonella. In this study, drug susceptibility test was used to detect and analyze the drug resistance of 24 Salmonella strains collected from human. A multi-drug resistant strain QLUF123 was selected for whole genome sequencing, and its drug resistance genes and virulence genes were analyzed. The results showed that 24 Salmonella strains were resistant to the tested antibiotics, 87.50% of the strains had multi-drug resistance, the resistance rate to ceftazidime, sulfamethoxazole and tilmicosin reached more than 80%. The alignment results based on the whole genome sequence showed that there were multiple types of drug-resistant genes in QLUF123, among which efflux pump system genes were the most abundant, including sdiA, mdtK, baeR and other multidrug-resistant efflux pump system genes. QLUF123 carried 46 kinds of virulence factors and 249 related virulence genes, among which the three functions of secretory system, adhesion and motility accounted for the most virulence genes, accounting for 93.57%. In this study, antibiotic resistance of human Salmonella was detected by drug sensitivity test, and drug resistance and virulence genes in Salmonella were analyzed by whole genome sequencing technology, which is of great significance for scientific treatment and rational drug use of related diseases caused by Salmonella infection.
Application of Virtual Reality Technology in Post-Stroke Depression
Authors: Sun Xu , Hu Ao , Tao Zhenzhen , Yuan Fuqiang
Published: November 2023

Post-stroke depression (PSD) is one of the most common complications of emotional disorders after stroke, and the recovery effect of clinical intervention using conventional means is limited. As an emerging technology, virtual reality technology provides a new idea for the clinical rehabilitation of patients with post-stroke depression. Through literature retrieval and review of domestic and foreign studies, this paper summarizes the development of virtual reality technology in psychotherapy. This paper expounds the application value of virtual reality technology in post-stroke depression, summarizes the common types of virtual reality technology combined with conventional intervention to treat post-stroke depression, and analyzes the influence of virtual reality technology on physical and mental rehabilitation of patients with post-stroke depression combined with empirical data. At the same time, the positive significance of virtual reality technology popularization and application is discussed. Finally, it is concluded that virtual reality technology can make up for the shortcomings of traditional treatment in the application of post-stroke depression, and can effectively improve the physical and mental state of patients. The application prospect is broad, but there is still room for development and improvement.
Network Pharmacology-Based and Molecular Docking-Based Analysis of Cornus Officinalis for the Treatment of Spinal Cord Injury
Authors: Wang Qiyi , Zhou Mingjun , Lu Jiayi , Tong Xu , Shen Lin
Published: November 2023

Purpose: Based on network pharmacology and molecular docking, this study aimed to screen out the active ingredients existing in Cornus officinalis for the treatment of spinal cord injury (SCI) and explore their potential mechanisms. Methods: We collected the active ingredients of Cornus officinalis and its corresponding target proteins. The target proteins corresponding to Cornus officinalis active ingredients were obtained by the Uniport. The SCI genes were obtained through the GeneCards. The active ingredient-acting target network and the interaction between action targets and a target protein interaction network were built by the String and the CytoScape 3.7.2. The core targets were analyzed by the Metascape. The active components and core targets were verified by the AutoDock. Results: We collected eighteen active ingredients, including tetrahydroalstonine. 390 targets, 50 targets related to SCI were obtained. The Key targrts were AKT1, MAPK1, TNF. Four major signaling pathways are involved, including MAPK pathway. The active components of Cornus officinalis have good affinity with the core targets of SCI. Conclusion: Our study summarized the active ingredients of Cornus officinalis and the mechanism of action in the treatment of SCI, providing implications for the development of the active ingredients of Cornus officinalis in the treatment of SCI.
Molecular Mechanism Analysis of Protopine Against Triple Negative Breast Cancer
Authors: Chen Ting , Jiang Heng , Hu Guang , Acma Florfe M. , Huang Bin
Published: November 2023

In this study, we utilized a pharmacological network and bioinformatics approach to investigate the molecular mechanism underlying the resistance of Protopine (PRO) against Triple Negative Breast Cancer (TNBC). To uncover the underlying mechanism of PRO, we employed network pharmacology analysis. We collected and enriched targets using various databases such as TCMSP, SwissTargetPrediction, PubChem, Genecards, and DAVID. Furthermore, we constructed Potential targets network and components-disease-core targets network by STRING 11.5 and Cytoscape 3.7.1 to investigate the association of targets of PRO with disease targets of TNBC. The results of the network pharmacology approach indicated that PRO may play a key role in protein phosphorylation, protein autophosphorylation, Progesterone-mediated oocyte maturation signaling pathway, PI3K-Akt signaling pathway, and acting as targets such as PRKACA, JAK2, CDK2, LRRK2, CCNE1, KDR, JAK1. Our findings suggest that PRO exerts its effects against TNBC through multi-channel and multi-target mechanisms. Therefore, this study provides a basis for further research on the mechanism of action of PRO.
4mCFSNet: A Feature Fusion-Based Multi-Scale Representations for Predicting DNA N4-Methylcytosine Sites
Authors: Li Wei , Tong Ling , Yong Shuanghao , Wang Xin , Yang Xiao
Published: November 2023

N4-methylcytosine (4mC) is a very important epigenetic modification that regulates DNA expression, repair and replication. Traditional experimental methods for 4mC site detection are both time consuming and laborious. Therefore, the development of computational methods is necessary. But mining the internal information of DNA sequences remains a great challenge. In this paper, we propose a novel 4mC deep learning prediction method, named 4mCFSNet. Firstly, we encode the sequences using one-hot. Secondly, we construct multi-scale fusion modules to fully extract biological sequence information by overlapping multi-scale channel input features. Finally, we use fully connected layers and class weights for multi-species classification prediction. The average MCC of our proposed method on six species is about 2% higher than the optimal method, and the average ACC is about 1% higher.
IL-6 Enhances the Viability and Invasion Ability of Prostate Cancer Cells
Authors: Cheng Kai , Batbatan Christopher , Jia Qingmei
Published: November 2023

Prostate cancer is a slow-growing cancer whose incidence increases with age. IL-6 expression is significantly increased in a variety of malignant tumor stroma, which is a key factor involved in the association between inflammation and tumor. So as to investigate how prostate cancer works, recombinant IL-6 was used to stimulate human prostate cancer cells (PC-3). After treatment for 24,48,72h, the viability of cancer cells was detected by CCK-8 experiment. The effect of recombinant IL-6 on the invasion of prostate cancer cells was analyzed by Transwell experiment. The results showed that IL-6 can increase the viability of prostate cancer cells and facilitate the invasion of prostate cancer cells.
Application of Noninvasive Brain Stimulation for Sleep Quality Enhancement and Cognitive Improvement
Authors: Ma Yuran
Published: November 2023

Sleep is a fundamental process for maintaining our physical and mental health by adjusting brain homeostasis and repairing axons to refresh memories. Due to its essentiality, sleep disorders and insufficiency can cause both physiological and behavioral risks. This report diverges from traditional medical treatments and focuses mainly on physiotherapy-based neuroregulatory techniques for sleep treatment. Noninvasive brain stimulation (NiBS) techniques have been developed to enhance patients’ sleep and memory, including transcranial electrical stimulation (tES), transcranial magnetic stimulation (TMS), closed-loop stimulation, and Slow-wave sleep (SWS) brain-wave music. These techniques not only facilitate sleep but also improve and manipulate patients’ cognitive performance in areas such as addiction, post-traumatic stress disorder (PTSD), and Alzheimer’s Disease (AD). However, brain stimulation during sleep has not yet been widely applied due to inconvenience of the large machines for long-term usage. Future research and engineering designs should focus on developing portable devices to restore sleep quality and cognitive performance. Insomnia can have multiple and interactive causes, including environmental, psychological, and physiological factors. Thus, case-by-case analyses are required, and neuroregulatory techniques play a supportive role in assisting sleep. To cure sleep problems completely, a combination of psychotherapy, medical treatments, and environmental adjustments may be necessary. There are still many puzzles to be solved in the study of sleep problems, and neurostimulation therapy provides new ideas for solving sleep problems and studying sleep behavior.
Protective Effect of Sea Buckthorn (Hipphophae Rhamnoides) Extract on Liver Injury Induced by High-Fat Diet in Mice
Authors: Sun Si , Li Bingqing , Peng Shuang , He Lian
Published: November 2023

This experiment aimed to investigate the protective effect of sea buckthorn (Hipphophae rhamnoides) extract on an animal model of NAFLD induced by high-fat and cholesterol diet. Twenty-five SPF-grade male KM mice were randomly divided into the blank control group, high-fat model group, sea-buckthorn low-dose group, sea-buckthorn medium-dose group, and sea-buckthorn high-dose group. During the whole experiment, the high-fat model group and sea-buckthorn treatment group were fed high-fat and high-cholesterol diet to build the fatty liver model, whereas the blank control group was fed ordinary diet. The high-fat model group and blank control group were intragastrically given normal saline, and each sea buckthorn treatment group was intragastrically given different concentrations of sea buckthorn extract. After 5 weeks of intervention using the abovementioned method, the experiment was completed; relevant serological indexes were determined, and the liver coefficient was calculated. Our results demonstrated that the liver coefficient in the high-dose sea buckthorn group was extremely significantly decreased (P < 0.01) compared with that in the high-fat model group. In addition, the concentration of total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) in serum of mice was decreased by the intervention of sea buckthorn extract, whereas the concentration of high-density lipoprotein cholesterol (HDL-C) was increased. Significant differences were observed between the sea-buckthorn high-dose treatment group and the high-fat model group (P < 0.05). The extracts of sea buckthorn had a certain protective effect on non-alcoholic fatty liver. This study lays an important foundation in developing and using sea buckthorn extract as a clinical drug and guiding people to take health care products reasonably.
Research on Flow Traceability Technology of Medical Electric Gastric Lavage Machine
Authors: Li Shuqiong , Jin Xin , Quan Guanyu , Dong Fenghua , Liao Xuhui
Published: November 2023

The calibration method of the electric gastric lavage machine was developed for the two-way unsteady liquid flow measurement modeland the detection device of the medical electric gastric lavage machine was developed , which flow value can be traced to the quality and time. The experimental results showed that the flow measurement range of the detection device was (50∼3000) mL/min, and the pressure measurement range was (-60∼90) kPa, and the metrological performance of the detection device verified using an active piston type flow standard device can meet the traceability requirements of the key parameters of the medical electric gastric lavage machine.
Development and Mechanical Analysis of Human Liver Model During Impact
Authors: Du Tianya , Chen Jiqing , Li Dongri , Liu Xinghua , Hu Yansong
Published: November 2023

Liver injury is one of the most severe traffic trauma. The development of accurate liver finite element model is beneficial for improving the biofidelity and validity in crash simulations, aiming to analyze the injury in accidents. 12 human liver finite element models in the current research were constructed from high resolution CT data of a Chinese male 50th percentile human subject, including the main structures like left lobe, right lobe, capsule, parenchyma and falciform ligament. The simulations based on Nava et al. experiment were conducted to validate the models and make comparisons of modeling method accuracy. The results demonstrated that the larger deviation happened to the tetra models due to the stiffer algorithm compared to the hex models, which were more sensitive to element size. The existence of capsule had significant effects on the liver mechanical responses, reducing the liver tissue pressure. Shell elements were more suitable for modeling the capsule.
Establishment of a Mathematical Model for Parkinson’s Disease Based on Complex Neural Networks and Design of Deep Brain Electrical Stimulation Treatment Plans
Authors: Sun Haiyi , Lv Chenxinxiao , Sun Xinyi , Guo Ran
Published: November 2023

This article introduces the modeling idea of complex neural networks based on the analysis of Parkinson’s disease(PD) seizures. According to the Hodgkin-Huxley model of neurons and the synaptic connection theory between neurons, a theoretical model of the basal ganglia circuit was established. To reveal the working mechanism of the brain during the attack of nervous system disease. On this basis, the neural system model is combined with the control theory. Finally, an intermittent adaptive feedback controller is proposed to effectively suppress the onset of Parkinson’s disease by stimulating the neuronal system accordingly.
A Functionalized Covalent Organic Frameworks with Triazine and Triazole Motifs
Authors: Gao Pengpeng , Han Qing
Published: November 2023

Covalent organic frameworks (COFs) with triazine motifs have been widely used in the field of photocatalysis due to their nitrogen-rich structure and strong chemical stability. However, their photocatalytic performances are still inadequate and need further improvement. Herein, nitrile monomers with triazole motifs are specifically chosen to as the precursor to produce a functionalized COFs with triazine and triazole motifs through microwave synthesis method. The as-prepared material exhibits broad light absorption, efficient charge separation and attractive photocatalytic hydrogen peroxide production.
A BIGRU-Based Stacked Attention Network for Biomedical Named Entity Recognition with Chinese EMRs
Authors: Chen Jie-qing , Zhu Zhi-chao , Zhang Feng , Zeng Ke , Jiang Hui-zhen , Cheng Zhen-ning
Published: November 2023

Biomedical named entity recognition (BNER) is an effective method to structure the medical text data. It is an important basic task for building the medical application services such as the medical knowledge graphs and the intelligent auxiliary diagnosis systems. Existing medical named entity recognition methods generally leverage the word embedding model to construct text representation, and then integrate multiple semantic understanding models to enhance the semantic understanding ability of the model to achieve high-performance entity recognition. However, in the medical field, there are many professional terms that rarely appear in the general field, which cannot be represented well by the general domain word embedding model. Second, existing approaches typically only focus on the extraction of global semantic features, which generate a loss of local semantic features between characters. Moreover, as the word embedding dimension becomes much higher, the standard single-layer structure fails to fully and deeply extract the global semantic features. We put forward the BIGRU-based Stacked Attention Network (BSAN) model for biomedical named entity recognition. Firstly, we use the large-scale real-world medical electronic medical record (EMR) data to fine-tune BERT to build the proprietary embedding representations of the medical terms. Second, we use the Convolutional Neural Network model to extract semantic features. Finally, a stacked BIGRU is constructed using a multi-layer structure and a novel stacking method. It not only enables comprehensive and in-depth extraction of global semantic features, but also requires less time. Experimentally validated on the real-world datasets in Chinese EMRs, the proposed BSAN model achieves 90.9% performance on F1-values, which is stronger than the BNER performance of other state-of-the-art models.
Revealing Red Flags of Insurance Fraud: A Case Study Research of PT Jiwasraya Indonesia
Authors: Alimirruchi Wahyu , Chariri Anis
Published: November 2023

Insurance companies are prone to fraud due to high yield pressures and hence we need to identify certain red flags for fraud detection. This study is descriptive-analytical research that aims at analyzing the red flags of insurance fraud and at finding the strategies to eliminate potential fraud by learning from insurance fraud cases. Using PT Asuransi Jiwasraya (Persero) from 2006 to 2020 as case study research, the finding shows that mega fraud (corruption, asset misappropriation, fraudulent financial statements) occured during the period. Red flags of improper disclosure are disclaimer opinion from The Audit Board of The Republic of Indonesia, PwC’s adverse opinion, and 2002 and 2004 insolvency. Timing differences red flags are Jiwasraya bought second and third tier shares before the end of the 2019 quarter to be resold on January 2, 2020. Red flags of Jiwasraya’s corruption are indicated by misuse of interest by Jiwasraya’s directors, inappropriate bancassurance, purchase of shares and mutual funds that are more expensive than market prices. Jiwasraya’s red flag in asset misappropriation is shown by the purchase of shares and mutual funds of poor quality using income from the sale of saving plan products. These findings imply that detective, preventive, and repressive strategies are needed to combat insurance fraud in Indonesia.
Evaluation of Expert Research Results Based on the Probabilistic Approach (on Published Foreign Papers)
Authors: Shcherbakovskyi Mykhailo , Protsenko Anna
Published: November 2023

The Research Paper Purpose is to analyze the genesis of procedural and scientific principles of modern foreign standards for evaluating expert research results; clarify uncertainty sources that result in ambiguous expert conclusions; substantiate the need to use the probabilistic (Bayesian) approach while formulation of forensic experts’ answers. To fulfil this goal, the following research methods have been chosen: historical and legal; systemic and structural; comparative legal; formal and legal. The procedural, epistemological and doctrinal factors complicating evaluation of the objectivity and veracity of the expert conclusion in domestic law enforcement practice are named. Evaluation standards of expert evidence at different times throughout the world have been analyzed (universal adoption of the Frye standard, substantiation and validation of the Daubert standard, prove beyond a reasonable doubt). It is emphasized that provision of probable conclusions by the forensic expert is due to a continuum of uncertainties, which source are peculiarities of the formation of crime traces and methods of collecting traces at the scene, the level of expertise development and methodologies of expert research, interpretation and evaluation of forensic examination results. To shape the expert’s conviction in research findings, a statistical Bayesian method of establishing the likelihood ratio is proposed, which enables to evaluate significance of versions proposed by the forensic expert and is the basis for the court to take a reasoned decision. The probabilistic approach is proposed to be applied both for evaluation of a random coincidence of features when identifying forensic examination objects, as well as in relation to possible errors in laboratory tests and interpretation of results drawn by a forensic expert.
Current Issues of Criminalistics in Context of War and Global Threats
Authors: Shevchuk Viktor
Published: November 2023

Current issues of criminalistics in the conditions of martial law and global threats of the 21st century were studied. The main trends in formation and development of forensic science in current realities are defined and analyzed, and promising directions of its scientific research are outlined. Emergence and formation of new areas of criminalistics due to scientific and technological progress, introduction of the latest technologies, the need to detect specific traces and collect evidence (genomic, digital, nuclear, etc.) are substantiated. It is noted that it is important to take into account modern trends in development of criminalistics related to the formation of its separate branches (directions): medical, genotyping, computer (digital), aerospace and nuclear. In war conditions in Ukraine, formation of a new scientific direction of military forensics, its object, subject, system and tasks are defined. Issues of formation and development of European criminalistics, integration of Ukrainian criminalistics into the single European forensic space, development and implementation of innovative products into law enforcement practice, taking into account positive international experience in the field of combating crime, were analyzed. Rebooting and modernizing current paradigm have been proven to be promising. Expansion of application limits of forensic knowledge, necessary not only during the investigation of criminal offenses and/or trial in criminal proceedings, but also in various spheres of legal activity (administrative, civil, economic, arbitration proceedings and even in constitutional jurisprudence) is considered and substantiated.
The Role of Leadership Style in Asset Misappropriation: An Ethnography Study
Authors: Adji Azizah Fattih Rezqiyah , Chariri Anis
Published: November 2023

This study is an ethnography study conducted in a private con-struction company in the oil and gas sector. The study aims to uncover the socio-cultural reasons behind employee asset misappropriation in an organization. Asset misappropriation is a scheme of occupation-al fraud that often occurs repeatedly. ACFE in 2022 stated that this scheme consistently ranks first, with the number of cases up to 86 %. The main question of this research is how leadership style can shape or-ganizational culture and become one of the triggers for the emergence of acts of asset misappropriation in an organization. Furthermore, this study concludes that leaders can shape and internalize organization-al culture, and fraud as a social reality can be triggered by leadership styles. Aspects of the multi-paradigm that exist in accounting arise be-cause accounting can be combined with other sciences, one of which is forensics. Forensics is a field of science designed to aid in the process of upholding justice through the process of applying science or science. What is learned from forensic accounting not only concerns how an organization becomes a victim of fraud or how the flow of company funds can be manipulated in this way, but forensic accounting also examines the behavior of fraudsters. The purpose is that in the future, organizations can find the right way to minimize the occurrence of fraud in their environment. From this, forensic accounting has become a collection of different disciplines, such as accounting, sociology, law, culture, criminology, computer science, and psychology.