bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Hybrid Apps Expert System sebagai Upaya Meningkatkan Pengendalian Hama dan Penyakit Tanaman Cabai
Authors: Efriyanti Liza , Arifmiboy Arifmiboy , Khomarudin Agus Nur , Aulia Romy
Published: November 2024

Kebutuhan terhadap akses informasi dan data yang cepat dan realtime menjadi salah satu alasan perkembangan digital di era millennium. Masuknya teknologi internet of thing atau IoT ke seluruh pelosok wilayah di Indonesia telah memberikan kemudahan bagi masyarakat dalam mendapatkan informasi. Namun, pemanfaatan teknologi di sektor pertanian di sebagian besar wilayah di Indonesia masih belum optimal, karena masih banyak petani yang mengandalkan pengetahuan lama atau pengetahuan dari orang tua atau sesepuh terdahulu. Kurangnya pengetahuan petani tentang manfaat teknologi, dan anggapan bahwa teknologi hanya akan memberikan dampak negatif, merupakan kondisi yang menyebabkan minimnya kemajuan sektor pertanian di Indonesia. Penelitian ini menggunakan metode RnD atau Research and Development dengan model ADDIE, dimana pada tahap Development menggunakan SDLC Waterfall. Penelitian ini telah berhasil menghasilkan sebuah produk penelitian yaitu Aplikasi Hybrid Rule Based Expert System yang digunakan untuk mendiagnosa hama dan penyakit pada tanaman cabai. Aplikasi hybrid ini dapat dioperasikan dengan menggunakan browser pada personal computer dan juga pada smartphone atau platform Android. Dari pengujian produk yang dilakukan, hasil yang diperoleh adalah diperoleh nilai 0,85 dengan kriteria valid, uji kepraktisan diperoleh nilai 0,83 dengan kriteria sangat kriteria dan uji keefektifan diperoleh nilai 0,75 dengan dengan kriteria sangat efektif. Disimpulkan bahwa sistem pakar berbasis sistem pakar berbasis aturan dalam penelitian ini layak digunakan sebagai media untuk mendiagnosa hama dan penyakit tanaman cabai.
Pengamanan Data Penjualan Menggunakan Algoritma RSA-CRT
Authors: Sutrimo  , Zulkarnain Iskandar , Mahyuni Rina
Published: November 2024

Breadshop transmart carrefour medan adalah toko roti yang menawarkan pilihan produk roti, pastry, dan cake untuk memenuhi kebutuhan keluarga. Selama ini breadshop memiliki data penjualan yang tersimpan di computer, yang mana data penjualan ini sangat penting bagi perusahaan dan sangat rentan untuk disalahgunakan. Saat ini pihak manajeman belum dapat menemukan cara bagaimana data tersebut aman, dan tidak disalahgunakan. Dalam menyelesaikan masalah yang ada di breadshop transmart carrefour medan salah satu cara yang tepat adalah mengamankan data tersebut dengan menggunakan algoritma RSA-CRT. Kriptografi dibuat untuk membantu pihak manajemen dalam mengamankan data penjualan agar tidak disalahgunakan. Algoritma RSA-CRT merupakan salah satu metode yang dapat digunakan dalam pengaman data penjualan. Algoritma RSA-CRT merupakan salah satu algoritma yang keamanannya cukup kuat dalam mengamankan data. Hasil penelitian ini berupa aplikasi yang dapat mengamankan data penjualan yang berbentuk file .csv yang nantinya berguna untuk meningkatkan keamanan dari perusahaan.
Implementasi Aplikasi Penggajian Karyawan Pada Pd. Sami Jaya Karawang
Authors: Priatna Apit , Yusuf Arif Maulana , Mariyam Mariyam
Published: November 2024

PD. Sami Jaya Karawang melakukan absensi karyawan secara manual oleh admin sehingga dirasa kurang efektif karena dapat menimbulkan kekeliruan seperti kelebihan absensi atau kekurangan absensi karyawan. Oleh karena itu, diperlukan sebuah sistem yang dapat membantu perusahaan dalam melakukan perhitungan gaji karyawannya agar dapat mengurangi masalah yang selama ini sering terjadi, serta untuk memaksimalkan kinerja perusahaan. Tujuan penelitian ini untuk mengetahui bagaimana proses pencatatan penggajian yang efektif dan mengetahui bagaimana merancang sistem informasi penggajian menggunakan Microsoft Visual Basic.NET pada perusahaan tersebut. Metode penelitian yang akan digunakan penulis dalam merancang aplikasi sistem informasi penggajian ini menggunakan Design Science Research Method (DSRM), karena DSRM menyajikan penggabungan dari prosedur, prinsip, dan praktik. Berdasarkan penelitian yang dilakukan, perancangan dapat terealisasikan dengan baik, dan diharapkan dapat memaksimalkan kinerja dari sistem informasi penggajian yang telah dibuat.
Pemilihan Kurir Terbaik di PT. Tiki Menggunakan Metode WASPAS
Authors: Syaifuddin Muhammad , Taufik Faisal
Published: November 2024

Tiki merupakan salah satu usaha yang bergerak dalam bidang pengiriman dan pengantaran barang. Untuk menjaga kenyamanan dan kepercayaan konsumen, maka PT Tiki menurunkan kurir terbaiknya. Ada beberapa kriteria kurir dinyatakan terbaik diantaranya pengiriman tepat waktu, memberikan pelayanan yang baik saat memberikan pesanannya kepada konsumen. Untuk mempertahankan kinerja kurir agar mampu bekerja dengan baik sesuai SOP yang berlaku, PT. Tiki memberikan reward hingga promosi naik jabatan. Saat ini proses pemilihan kurir ini masih menggunakan catatan dan perhitungan manual sehingga membuat prosesnya tidak jarang membutuhkan waktu yang lama dan data dari proses ini tidak tersimpan dengan baik. Solusi untuk menyelesaikan permasalahan ini adalah dengna menyediakan system terkomputerasi dan WASPAS sebagai metode penyelesaian masalahnya. Dari hasil penelitian ini didapatkanlah sebuah kesimpulan yakni proses pemilihan karyawan terbaik lebih mudah dilakukan, dan waktu penyelesaiannya tidak selama seperti perhitungan manual sebelum adanya proses terkomputerasi.
Accuracy of New Generation Extended Pour Alginate V/S Addition Silicone Impression Materials for Fabricating Single Crowns – Research Articles
Authors: Singla Dr Shefali , Kaur Dr Komalpreet , Kumar Dr Lalit , Sharma Dr Puneet , Bhardwaj Dr Shrishti , Goyal Priyanka
Published: November 2024

Aim: The aim of this study was to evaluate the fit of single copings fabricated from addition silicone and new generation alginate impression materials by comparing their marginal fit and internal adaptation using a 2D digital analysis method. Materials and Methodology: A maxillary second molar (Nissin typodont) was prepared and impressions were made using four different impression materials: CAVEX crème alginate, extended pour Alginate (Hydrogum5) with immediate pouring (EPI), extended pour Alginate with delayed pouring for one hour (EPD), and addition silicone (President, Coltene). Wax patterns were fabricated on stone dies and copings were cast. The copings were analysed for marginal and internal fit using a 2D digital analysis. One-way ANOVA with post hoc analysis was used to compare the mean marginal gap and internal fit among the groups Results: The study found that the mean marginal gap was 0.17 mm for the EPI group, 0.23 mm for the CAVEX crème alginate group (Group C), 0.20 mm for the EPD group, and 0.30 mm for the addition silicone group (Group PVS). Post hoc analysis revealed a significant difference in marginal fit between the EPI and PVS groups (p=0.03), indicating superior marginal fit in the EPI group. However, there was no statistically significant difference in internal fit among the groups. Conclusion: These results suggest that extended pour alginate materials, particularly when poured immediately, offer better marginal fit compared to addition silicone for single-tooth impressions. The internal fit was comparable across all materials tested. Clinical significance: Extended pour alginates can be used for fabricating a single coping due to their longer working time and flexibility in the impression process.
Implementação da assistência estudantil e sua contribuição para o cumprimento dos ODS
Authors: Baldochi Lívia Andréa Zaleski , Nogueira Maria Aparecida Farias de Souza , Almeida Vera Luci de
Published: November 2024

Esta análise de caso investigou se as iniciativas de Assistência Estudantil, para alunos da graduação da Universidade Federal da Grande Dourados (UFGD), buscam cumprir os Objetivos de Desenvolvimento Sustentável (ODS), números 3, 4, 10 e 16, os quais se adaptam ao contexto da Assistência Estudantil. Observou-se, por meio de pesquisa documental, que a UFGD atua nos padrões exigidos nos ODS, necessitando apenas alguns alinhamentos quanto ao ODS 10, que trata sobre assistência estudantil para discentes da modalidade de Educação a Distância.
History of Educational and Scientific Works in Andijan State Medical Institute
Authors: Shuxratovich Toshpulatov Bekzod
Published: November 2024

This article is devoted to the study of the history of the formation of the system of higher medical education in the Andijan region and the stages of its development. The Andijan Medical Institute and its importance in the training of medical personnel in the region are analyzed.
Criteria for Moral Upbringing
Authors: Esonalievna Normatova
Published: November 2024

There are two traditional ways to promote spirituality. The first is through the glorification of human qualities, the definition of people with such qualities, the example. The second way is through the condemnation of vices. This tool is more effective than the first. For this reason, it is necessary to objectively recognize the achievements and assess the shortcomings allowed from a critical point of view. In this article highlights of criteria of moral education.
Peer Feedback and its impact on university students’ writing performance
Authors: Intriago Cañizares Fernando , Ramírez-Ávila Maria Rossana
Published: November 2024

Introduction: This study addresses issues in students’ academic writing by proposing peer feedback as a strategy to improve university students’ advanced (B1 - B2) academic writing skills. The intervention took place over a sixteen-week course at a private university in Guayaquil, Ecuador. Method: An action research was conducted, integrating quantitative (pre- and post-tests) and qualitative (questionnaire) instruments to determine if sixty freshman university students would improve their writing skills in terms of structure, fluency, and accuracy. Results: Students demonstrated improvement in their writing, with a Cohen’s d = 0.39. Students’ feedback reported both benefits and challenges in providing peer feedback. Conclusions: Despite limitations for both students and the teacher, peer feedback can be considered a strategy to raise students’ awareness of their own writing errors at advanced level. Other EFL teachers and coordinators can gain new insights from this study.
Learning curve for the open Latarjet procedure: a single-surgeon study
Authors: Papalia Aidan G. , Romeo Paul V. , Alben Matthew G. , Cecora Andrew , Ragland Dashaun , Virk Mandeep S.
Published: November 2024

Background: The popularity of the Latarjet procedure (LP) for the treatment of anterior shoulder instability continues to rise. However, LP is technically demanding and associated with complications. This study aims to determine the learning curve for the open LP (oLP) and the threshold for proficiency.Methods: This was a retrospective study of all oLPs performed by a single surgeon in a single institution from 2016 to 2021. Operative time, defined as time from incision to closure, was the primary outcome of this study, and 1-year postoperative complications were the secondary outcome. After listing oLP cases in chronological order, they were classified into groups of 15, and the average operative time for each group was determined. Demographics, operative duration, and postoperative complications were compared across groups.Results: Seventy-five oLPs were included in this study, and operative times decreased after the first 15 procedures. While operative times continued to decrease with increasing case number, the learning curve began to plateau after 30 procedures. After 75 procedures, there was a total decrease in average operative time of 31.5 minutes relative to that of the first 15 cases. There were no differences in complication or revision rates among procedure groups.Conclusions: Establishing learning curves provides important insight into the complexity of surgical procedures. Our study demonstrates that the oLP has a steep learning curve with significant improvement in operative time after the first 15 cases. Operative time plateaus after 30 cases, indicating proficiency in this procedure.Level of evidence: IV.
Descriptive analysis of total elbow arthroplasty for distal humerus fractures: 30-day complications
Authors: El-Najjar Dany , Mehta Apoorva , Taber Caroline , Gupta Puneet , Peterson Joel R. , Rogalski Brandon , Jobin Charles M. , Trofa David P.
Published: November 2024

Background: Although functional outcomes of total elbow arthroplasty (TEA) for distal humerus fractures are satisfactory, there is a high rate of complications. This study aims to characterize the 30-day complications, readmissions, and mortality of patients with TEA for distal humerus fractures in a large registry database. Methods: Patients who underwent TEA for a distal humerus fracture were identified from the 2015 to 2020 ACS-NSQIP (American College of Surgeons National Surgical Quality Improvement Program) database. Baseline demographics, clinical characteristics, and complications including deep vein thrombosis/pulmonary embolus, infection, mortality, readmissions, and reoperations were recorded. Overall, 134 patients (mean age, 73.6 years; mean body mass index, 28.9 kg/m2 ; 88.8% females) were included. Results: The total complication rate was 21.6% (n=29). The most common complications were unplanned readmission (6.0%), postoperative transfusion (5.2%), unplanned reoperation (3.0%), wound disruption (2.2%), and urinary tract infection (1.5%). The composite infection rate was 3.7%. There were no 30-day events of mortality, sepsis, or cerebral vascular accident. Patients 80 years or older had higher but not significant rates of unplanned readmission (10.2% vs. 3.5%, P=0.116) and reoperation (6.1% vs. 1.2%, P=0.105). Conclusions: TEA for distal humerus fracture analyzed over 5 years had high rates of 30-day postoperative complications (21.6%), with unplanned readmission, reoperation, and infection being the most common. Level of evidence: IV
Participación de los Padres en la Educación Primaria: Una Comparación Bajo Pandemia y Reactivación Educativa.
Authors: Vera noriega Jose angel , Ramírez Ramírez Ana María Candelaria , Salazar Ramírez Daniella Carolina , Yocupicio Zazueta. Claudia Berenice
Published: November 2024

El regreso presencial a las escuelas tras el cierre provocado por la pandemia ocasionada por COVID-19, ha obligado a reconsiderar la participación de los padres en el contexto educativo, bajo esta consideración se estableció como objetivo de la presente investigación conocer la participación de los padres de alumnos de educación primaria en la modalidad presencial durante el ciclo escolar 2022-2023 a través de una comparación de su participación bajo condiciones de pandemia en el ciclo escolar previo. La metodología aplicada fue cuantitativa de tipo no experimental transversal de trayectoria con alcance descriptivo y correlativo, comparando dos muestras de padres con hijos en educación primaria y con semejanza en sus características en dos momentos distintos de la historia. Entre los resultados se encontró que, después de la pandemia el apoyo de los padres a la institución educativa disminuyó significativamente, sin embargo, la dimensión de apoyo al hijo presentó un aumento.
John Dewey's Aesthetic Legacy in China
Authors: Zhang Baogui , Gao Yanping
Published: November 2024

Modern China's acceptance of Dewey's legacy of aesthetic thought is divided into three main periods. In 1906–49, Dewey's Art as Experience was noticed, but due to the fact that China was more concerned with the social realities and national crisis at that time, its aesthetic thought appeared as an accessory to Dewey's social philosophy and educational thought, and its rich significance was properly realized only within the practice of aesthetic education. From 1949 to 1978, Dewey's aesthetics was effectively suppressed through China's ideological storms. From 1978 to the present, benefitting through China's policies of reform and opening, Dewey's aesthetics gradually gained the attention of Chinese academics and found expression in considerable research that develops the book's legacy in distinctive forms of contemporary Chinese aesthetics: life aesthetics, somaesthetics, and ecological aesthetics.
Ethereal Things Brought to Sensuous Immediacy: Dewey's Art as Experience and the Centrality of Aesthetics to Human Nature
Authors: Leddy Thomas
Published: November 2024

John Dewey's second chapter of Art as Experience, “Ethereal Things,” captures in a nutshell a radically new approach to philosophy where the aesthetic takes center stage. The key is to see the aesthetic as something much broader than it is generally conceived. It covers not just art and nature, or even art, nature, and everyday life, but life itself, and in particular human life. But human life is seen as continuous with the life of the animal, the live creature interacting with its environment. Experience begins with sense perception that is, itself, a negotiation of past and present, where things are imbued with meaning as cause and effect are turned into intention and consequence. Experience also has a range going from mere mechanical perception and labeling towards something much more complex. The highest culmination of experience is a mystic-like consummation, a point at which experience is a joyous reward of expanding and enriched life. Dewey speaks of “the power of sense to absorb the most highly spiritualized ideas.” One can see him, in this regard, as the opposite of Plato, for whom the sensuous world, at best, imitates the world of Ideas. For Dewey, ethereal things are not eliminated but, rather, brought into the world of sense.
Double Veto System: Reforming the Veto and Voting Rules in UN Security Council
Authors: Zhou Ying
Published: November 2024

Abstract: The UN Charter endows the UN Security Council with the authority and responsibility to maintain international peace and security. Given this mandate, the Security Council plays an essential role in addressing transnational and non-traditional security threats. However, the Councils demonstrated inefficiencies have sparked widespread calls for reform, particularly concerning the veto power, which is criticized by nearly all nations except the permanent members. This paper focuses on reforming the veto power of the five permanent members. Through a literature review, this paper summarizes mainstream reform proposals and analyzes the frequency and characteristics of vetoes exercised by the permanent members over the past 24 years. It also examines the differing positions of China and Russia versus the US, the UK, and France on Middle Eastern issues and proposes a feasible reform methoda Double Veto Systemto ensure that the operation of the P5 is based on shared interests, while pioneering new pathways for reform in the UN Security Council.
The Jurisprudential Rationale Behind LGBTQ Anti-Discrimination Law
Authors: Yu Qiuyu
Published: November 2024

Abstract: This essay examines the philosophical and legal rationale underpinning the criminalization of discriminatory behaviour against LGBTQ individuals, highlighting how anti-discrimination law serves as a regulatory mechanism. It explores three jurisprudential approaches: the moral wrongdoing approach, the individual autonomy approach, and the community welfare approach, analysing how each justifies the prohibition of discrimination. The essay argues that the balance between individual autonomy and community welfare forms the foundation of LGBTQ anti-discrimination law, ensuring that legal intervention addresses harmful conduct while respecting personal freedoms. Additionally, it investigates the elements of discriminatory behaviour, focusing on the actus reus (prohibited act) and mens rea (accompanying mental state) to determine the criteria for criminal liability. By evaluating the appropriate standards of intent and harm, the research underscores the importance of crafting laws that protect LGBTQ individuals while maintaining legal certainty and fairness. This analysis contributes to the broader discourse on how anti-discrimination laws can foster a more inclusive society through balanced regulation and enforcement.
A Literature Review on the Effect of Pet-assisted Therapy on the Mental Health of Children
Authors: Gu Yue , Wei Siqi , Zeng Xin
Published: November 2024

Abstract: Recently, children are more likely to experience mental health issues because of the increasing stress. Pet-assisted therapy (PAT) can set up a safe relationship between children and therapist and provide emotional support to children through the interaction between children and animals. This literature review is intended to explore the effect of PAT on children and children with diseases. The results display that PAT can promote childrens emotional understanding capacity and self-confidence and alleviate the negative impacts of childhood trauma. In addition, it can decrease childrens negative emotions resulting from hospitalization and benefit special needs children and their families. However, existing experimental results are inconsistent in the aspect of its effects on physical arousal. Hence, studies focused on physical arousal are needed to further support the effects of PAT on childrens mental health. In terms of application, it is expected to improve childrens psychological well-being by conducting in healthcare, homes, and school settings.
The Effect of Big Five on Sexual Satisfaction - Gender Difference
Authors: Han Xindie
Published: November 2024

Abstract: Satisfaction in intimate relationship is a significant area of interest for many adults in contemporary society. Some researchers have found that personality and sexual satisfaction determine marital satisfaction. Nevertheless, there is a dearth of recent studies elucidating how personality affects sexual satisfaction differently between genders among unmarried young Chinese adults. Therefore, this study aimed to investigate the link between the Big Five personality and sexual satisfaction in this demographic. The researcher collected the data through quantitative research by distributing the questionnaire among young adults in China, with ages between 18-28 years old, and obtained 161 respondents. The data was statistically tested by using the SPSS v29. The findings showed Conscientiousness is the solely personality dimension in Big Five personality that significantly positively correlated with sexual satisfaction, and Conscientiousness does not significantly predict sexual satisfaction for both males and females. The present study provides evidences for the understanding of the relation between personality and sexual satisfaction.
Innovative Visual Expression in Contemporary Chinese Animated Films: A Case Study of White Snake
Authors: Zhao Chunyang
Published: November 2024

In recent years, Chinese animation films have begun to move towards revival, and a large number of domestic animation works with traditional styles have been loved by audiences. These animated film works integrate contemporary expression on the basis of traditional aesthetic style, which makes Chinese animated films gain recognition again. In the process of the development of domestic animation films, one should think about how to reflect contemporary spiritual values with excellent national elements. This paper discusses the innovative expression of Chinese traditional art style in animated films from three aspects. By studying the audiovisual approach of the animated film White Snake released in 2019, this paper finds that the films unique national characteristics of picture expression inherits and carries forward the essence of traditional culture on the basis of traditional aesthetic style. It concludes that Chinese animation films should adhere to the road of innovation and development in the future creative process, and organically combine traditional culture with contemporary aesthetics.
Comparative analysis of machine learning in diagnosing Parkinson's: Utilizing vocal characteristics
Authors: Yu Yurou
Published: November 2024

Abstract. Parkinsons disease is a neurodegenerative disorder that affects movement. Diagnosing Parkinsons disease has traditionally involved clinical assessments by neurologists, and this practice still persists today to a significant extent. However, clinical assessments can be prone to subjectivity. In this study, a comprehensive predictive modeling approach was undertaken, employing nine distinct machine learning algorithms and six different model evaluation metrics to identify the best performing algorithms. The findings reveal that, using only 12 vocal characteristics, KNeighborsClassfier (KNC), MLPClassifier (MLP), and XGBClassifier (XGBC) achieved the highest score of 0.87. This score is generally considered very good, indicating that the model is robust and possesses strong predictive power. This study marks a crucial initial step in leveraging machine learning techniques for more effective and potentially more accurate diagnosis of Parkinsons disease based on patients vocal characteristics.
Implantable neural recording devices for brain-machine interfaces: A review
Authors: Lin Junhao
Published: November 2024

Abstract. BMIs provide individuals with neuromuscular illness with communication and management options. The capture and analysis of signals are critical. BMIs enable people to engage with their environments, giving patients optimism. In this overview, we will discuss embedded sensors for collecting data from our bodies, such as chemical sensors and electrophysiological sensors. We will also discuss some general aspects of implantable sensors, such as why they are helpful and the various kinds of electrodes for BMI. We also discuss new methods for miniaturizing devices, such as microfabrication and microfluidics.
Antitumor effects and molecular mechanisms of matrine
Authors: Chen Yekai , Zhou Lei
Published: November 2024

Abstract. Matrine possesses various pharmacological activities such as anti-fibrosis, antiviral, anti-inflammatory, and immunosuppressive effects, especially playing a crucial role in antitumor activities. Studies have shown that matrine exerts antitumor effects through multiple pathways, including inhibiting tumor cell proliferation and metastasis, inducing tumor cell apoptosis, and suppressing tumor angiogenesis. This paper reviews the recent research progress on the antitumor effects and molecular mechanisms of matrine, aiming to provide theoretical references for its further research and application.
Exploring the transcriptomic and m6a landscape of human chromosome 17 in breast cancer: A combined RNA-seq and MeRIP-Seq analysis
Authors: Wang Mengmeng
Published: November 2024

Abstract. N6-methyladenosine (m6A), recognized as the most prevalent post-transcriptional modification in organisms, has been substantiated to exert a significant influence on the genetic mechanisms underlying breast cancer. To delve deeper into the disparities in expression, modification, and interactions between mRNA and m6A in breast cancer (BC), we conducted RNA-seq and MeRIP-Seq analyses on eight human breast tissue transcriptome samples acquired from the GEO database. combining two single omics and integrated analysis, the study unveiled the mRNA and m6A expression patterns, differential genes, and enriched pathway functional disparities in BC (on Chromosome 17): (1) A confidence list comprised of 53 differential genes was derived by intersecting the 72 identified differentially expressed mRNA genes and the 781 differentially modified m6A genes; (2) The three-way analysis revealed two distinct types of pathways related to BC: ABC transporter activity and Response to epidermal growth factor. Among these, the EGF pathways exhibited the closest association with the differential m6A modifications. Meanwhile, all three BC subtypes enriched in DisGeNET were all linked to EGF; (3) By integrating PPI and enrichment analysis, we selected target genes from the confidence gene list, which included ABCA6, ABCA8, and ABCA10, known to be involved in regulating ABC transporters, and ERBB2, a central hub gene in PPI with a pivotal role in the EGF pathway and Her2-positive BC subtype under m6A differential modification. Subsequent research may uncover RNA-binding proteins for these target genes and offer effective drug design targets for BC.
A review on the interaction between gut microbiome and the brain moleculer and medical microbiology department
Authors: Wu Ke
Published: November 2024

Abstract. The gut microbiome, comprised of trillions of microorganisms residing in the gastrointestinal tract, plays a crucial role in maintaining human health and influencing the onset of diseases. This paper delves into the intricate relationship between the gut microbiome and the brain, providing insight into how gut bacteria influence neurological function and mental health. And it examines recent advancements in research on the gut-brain axis, highlighting the mechanisms by which microbiota affect brain chemistry and behavior. In addition, this paper discusses potential therapeutic strategies that target the gut microbiome for treating neurological and psychological disorders. By synthesizing current findings, the research aims to provide a comprehensive understanding of this complex interaction, thereby shedding light on future research directions in neuroscience and mental health.
Data analysis software for medical wearables
Authors: Wu Zhengjie , Lu Ruibo , Yang Dong , Shi Yi , Wang Shuling
Published: November 2024

Abstract. The medical wearable device data analysis software of this product analyzes the measurement data through the data connection with various types of medical wearable devices, compares the standard values of various data of each age group, and a number of data that do not meet the standard values or a certain item that does not meet their daily average value for many days will be identified as an abnormal situation, and the user will be reminded to do a personalized physical examination, and the software will recommend a suitable time for the user to conduct a personalized physical examination according to the users location. And through the introduction of blockchain technology, the safe storage and sharing of medical wearable device data is realized while protecting user privacy. In addition, the medical wearable device data analysis software is built into a social health management platform, where users can share and exchange health data, experiences and recommendations. By socializing the app, you can increase user engagement and loyalty, and attract more users to use the app.
Metabolomics in pharmaceutical engineering: Bridging advanced analytics and precision medicine
Authors: Liu Yabing
Published: November 2024

Abstract. The integration of metabolomics into pharmaceutical engineering heralds a new frontier in drug development and precision medicine, offering insights into the intricate dynamics of metabolic responses to pharmaceuticals. This comprehensive review discusses the advancements in analytical technologies, such as mass spectrometry (MS), nuclear magnetic resonance (NMR) spectroscopy, and their hyphenated forms, that have propelled the field of metabolomics. It delves into the utilization of multivariate data analysis, metabolic pathway analysis, and mathematical modeling to interpret complex metabolomic data, facilitating a deeper understanding of drug metabolism, efficacy, and toxicity. Furthermore, the article explores the pivotal role of pharmacometabolomics in personalizing therapy and the regulatory landscape shaping the integration of metabolomics in clinical settings. By highlighting case studies and current methodologies, this review underscores the significant potential of metabolomics in enhancing drug development processes, identifying biomarkers for therapeutic targeting, and advancing the goals of precision medicine.
Mathematical statistical methods for stroke prognosis prediction and their clinical application research
Authors: Li Ziyun
Published: November 2024

Abstract. Stroke is a serious illness, with a global disability rate of over 50% and a mortality rate of up to 30%, making research on stroke prognosis prediction of significant societal importance. This paper comprehensively analyzes the application of mathematical statistical methods in stroke prognosis prediction, aiming to explore how these methods can enhance the accuracy of prognosis predictions, thereby providing patients with personalized treatment plans and improving their long-term rehabilitation process. Initially, the article introduces the severity of stroke and the importance of prognosis prediction, outlining the diversified development trends in current stroke prognosis prediction research. Subsequently, the article detailedly summarizes 11 statistical methods commonly used in stroke prognosis prediction, dividing these methods into three categories: methods suitable for analysis at the initial stage of treatment, methods suitable for data processing during the mid-study phase, and methods for integrating all data to establish regression models. Through specific case studies, this paper demonstrates the application of these statistical methods in actual research, including the use of descriptive statistics in MRI image analysis, the application of T-tests and ANOVA in comparing different treatment effects, and the importance of regression analysis in establishing prognosis models, including linear regression, logistic regression, and multiple regression analysis when considering multiple independent variables. This research not only provides a precise method for predicting the prognosis of stroke patients but also offers theoretical support for medical teams to formulate personalized treatment plans, enabling researchers to more accurately predict the prognosis of stroke patients, providing more personalized and effective treatment options. This contributes to reducing the risks during the patients rehabilitation process and improving the quality of life.
Advancing woody plant regeneration: Insights from salix species tissue culture studies
Authors: Cai MengLu
Published: November 2024

Abstract. In this study, we established a sterile propagation and regeneration system for Mongolian willow in order to study its salt tolerance and adaptation in depth and to provide methods for future genetic improvement. Mongolian willow, belonging to the genus Willow in the family Populus, is valued for its high salt tolerance and ability to ameliorate high pH soils. However, its distribution in specific saline soil areas and sensitivity to drought and rainless environments make its reproduction limited. In this study, by stem segment induction method, we aseptically cultured apical and lateral shoots of Mongolian willow, respectively, and found that the apical shoots performed best in MS medium supplemented with 0.1 mg/L IBA, while the lateral shoots grew well in MS medium supplemented with 6-BA, IBA and TDZ. In addition, this study investigated the effects of different combinations of phytohormones on healing tissue induction and found that the combination of NAA and 6-BA had the highest success and value-added rate. Further addition of TDZ significantly increased the induction rate. The study also dealt with the application of DNA methylation inhibitors in inducing adventitious shoots, and the results showed that the addition of this inhibitor in specific culture medium could significantly increase the induction rate of adventitious shoots. In this study, the regeneration system of Mongolian willow was successfully established, which provides a basis for its future genetic research and wide application.
Rheumatoid arthritis prediction and risk factor analysis based on logistic regression and machine learning: A NHANES survey
Authors: Pan Chenzhou
Published: November 2024

Abstract. Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation of the synovial joints, leading to pain, swelling, and eventually joint deformity and disability. It affects approximately 0.5% to 1% of the global population, with higher prevalence rates observed in women and in developed countries. Therefore, offer potential strategies to identify at-risk individuals before the onset of overt symptoms, facilitating proactive interventions to mitigate disease progression. In this study, the National Health and Nutrition Examination Survey (NHANES) was used to derive several ML and logistic regression methods to predict the onset of RA among adults and compare the performance by Receiver Operating Characteristic (ROC) curve using 4 predicting models such as logistic regression, random forest, support victor machine and XGBoost. The logistic regression performed better than any other methods because of its AUC and easier interpretability. Also, with logistic regression risk factors like BMI, SII, diabetes, age, gender, smoking, education and PHQ-9 are determined. These results could help diagnose and decrease the development of RA.
Unraveling the dynamics of drug resistance: Insights from molecular epidemiology
Authors: Bao Huimin , Deng Lin , Hui Zhilin
Published: November 2024

Abstract. Drug-resistant bacterial strains pose significant challenges to public health worldwide. Molecular epidemiology studies employing cutting-edge techniques such as whole-genome sequencing and pulsed-field gel electrophoresis have shed light on the genetic diversity, transmission dynamics, and evolution of drug resistance mechanisms. This review explores the current state of knowledge in this field, highlighting key findings on genetic diversity, transmission dynamics within healthcare facilities and communities, and factors influencing resistance evolution. By elucidating the intricate interplay between genetic determinants, transmission pathways, and selective pressures, molecular epidemiology provides critical insights for guiding infection control measures and developing strategies to mitigate the spread of drug resistance. Embracing a One Health perspective and strengthening global surveillance efforts are essential for addressing the transboundary dissemination of drug-resistant pathogens and preserving antimicrobial efficacy.
Mechanism of ropinirole in the treatment of amyotrophic lateral sclerosis
Authors: Man Hutianlin
Published: November 2024

Abstract. Amyotrophic lateral sclerosis (ALS) is now still a rare disease that cannot be cured, so patients are in desperate need of medications that can treat the disease. Until now, many researchers have tried to illustrate the pathogenesis of ALS, including misfolded protein aggregation, oxidative stress damage, etc. At the same time, many drugs are in the research phase. However, no consensus has been reached on the pathogenesis of ALS and the drugs on the market can only slow down the process of ALS. This paper firstly investigated researches on the pathogenesis of ALS, and then investigated the possible mechanism of ropinirole, a drug originally used to treat Parkinsons disease (PD) but promising as a treatment for ALS. Meanwhile, the latest clinical trials of ropinirole were reviewed in this paper, suggesting ropinirole could possibly treat ALS through multiple mechanisms including reducing oxidative stress, inducing autophagy, etc. Through investigation, this paper provides theoretical guidance for future studies on the mechanisms of ropinirole in ALS. However, the pathogenic mechanism of ALS and the therapeutic mechanism of ropinirole are not fully understood, especially the pathway of ropinirole in scavenging ROS and regulating the abnormal metabolism of lipids needs further studies.
Intervention of age-related memory impairment by integrative musical stimuli
Authors: Zhai Ximurong (Jasmine)
Published: November 2024

Abstract. Age-related memory impairment often causes significant distress for the elderly, imposing substantial burdens on families and society. It is widely known that auditory stimulation can trigger certain emotions and brain activities, but studies about factors that determine its effectiveness are lacking. This study aims to investigate the potential of music as an intervention for age-related memory impairment and the relative importance of music genre and preference level as factors that impact the effectiveness of music treatment. The research involves 22 participants and evaluates verbal episodic and working memory performance using the ten-word test (TWT) and digit span (DS) test, respectively. Additionally, electroencephalogram (EEG) data is analyzed to examine the impact of music on cortical electrical activity. This study involves the creation of a random forest machine learning model to predict long-term memory outcomes based on short-term data. Based on results comparing preference to music genre, we found that preference is a more important determining factor for the effectiveness of music treatment, and preference level one (most favourite music) treatment yielded the highest average improvements in both the TWT and the DS. Based on genre analysis, classical music stimuli were effective for improving long-term TWT and DS scores, and folk music stimuli effectively improved long-term TWT scores. Following folk music treatment, participants aged 65 and above yielded TWT score enhancements ranging from 25% to 66.7% and DS score enhancements ranging from 20% to 50%. This study also discovered the effectiveness of utilizing the random forest machine learning model to predict long-term TWT and DS outcomes based on short-term results, potentially enhancing the efficiency of future treatment.
Analysis of factors influencing the prevalence of type 2 diabetes mellitus
Authors: Gao Kunyan
Published: November 2024

Abstract. With the growth of the global economy and lifestyle changes, Type 2 Diabetes Mellitus (T2DM) has become a major global health challenge. It reduces patients' quality of life and leads to severe complications, increasing medical costs and psychological stress for patients and their families. Understanding the factors driving T2DM prevalence is essential for effective prevention and control. This study investigated the factors affecting the prevalence of T2DM using a comprehensive dataset from Kaggle, which contains health data from 1879 patients. The study used t-test, chi-square test, and logistic regression to analyze variables such as lifestyle, medical history, clinical measures, and symptoms. Significant factors associated with T2DM included family history, hypertension (HTN), smoking, urinary frequency, excessive thirst, unexplained weight loss, fasting blood sugar (FBS), and HbA1c levels. These factors have an impact on the prevalence of diabetes and are important in reducing the incidence of T2DM and associated complications if early intervention and personalized prevention strategies are adopted.
Establishment of a predictive model on asthma diagnosis using environmental and allergy factors
Authors: Huang Xinqi
Published: November 2024

Abstract. Asthma, being a leading chronic disease globally, involves molecular mechanisms that are quite complex to facilitate easy diagnosismore especially in the presence of environmental factors, which play an underrecognized role. The current study intends to assess the relationship shared by four allergy risk factors (pollution, pollen, dust, and pets) with the development of asthma. Logistic regression and random forest models were developed using data available from the "Asthma Disease Dataset" sourced from Kaggle to determine the predictive power of these factors. The SMOTETomek technique was applied for data preprocessing due to class imbalance; while relationships and model performance were assessed using the Pearson correlation matrix, box-and-whisker plots, and confusion matrices. Results indicated that pollen exposure is highly predictive of asthma. Dust and pet allergies are negatively associated with an asthma diagnosis. Pollution exposure does not indicate a clear link to asthma. The logistic regression model was less accurate in distinguishing between classes than the random forest model. Therefore, based on accuracy and class distinguishability, the random forest model outperformed logistic regression. These findings contribute to the understanding of environmental and allergy factors in asthma development and underline the feature of such an aspect in predictive modeling. Longitudinal data should be the focus of future studies, along with more objective measures to ensure enhanced reliability for these models.
The effect of the Mediterranean diet on mental disorders: a systematic review
Authors: Hou Xiaoxuan
Published: November 2024

Abstract. The Mediterranean diet (MD) is considered one of the most typical anti-inflammatory diets and has been widely studied. The benefits of MD for cardiovascular and nervous systems have been discussed, including significant antioxidant and anti-inflammatory effects, and regulation of brain-derived neurotrophic factor (BDNF). However, the impact of MD on mental disorders has not been fully studied. This systematic review selected several existing studies on the effects of MD on mental disorders and hopes that future research can determine the specific impact of MD on mental disorders. Results: For ADHD, the group taking omega-3 fatty acid supplements showed a significant decrease in BIS-11c scores after 8 weeks There is still controversy over whether following MD can prevent depression from occurring, the effect of MD on depression and refractory depression is not significant (all, p>0.05). MD has a significant impact on preventing postpartum depression. The higher the compliance of pregnant women with MD, the lower the incidence rate of postpartum depression (=0.236, p=0.027). MD also has a preventive effect on depression in the elderly, moderate and high adherence to MD can significantly reduce the incidence rate of common mental disorders, and moderate and high adherence to MD are protective factors against common mental disorders (OR: 0.59; 95% CI: 0.35-0.98 and OR: 0.42, 95% CI: 0.18-0.96, respectively).
The relationship between vitamin D and periodontal disease
Authors: Ren Chenyong
Published: November 2024

Abstract. In recent years, periodontal disease has been plaguing many people, and the topic of this study is the relationship between periodontal disease and Vitamin D. Aspects are divided into Vitamin D and periodontitis, which are discussed separately. The research question is mainly in the discussion of the disease, and experiments are conducted using simulation tests to draw conclusions to do the control and observation methods to draw conclusions to take samples, there are also based on peoples daily habits to make reference to improve the treatment methods and the results of the study. The conclusion is that Vitamin D and dental care are inseparable; the lack of trace elements will lead to a decline in resistance and ultimately the formation of periodontitis. Vitamin D is the primary factor affecting the growth and protection of bones, so Vitamin D will make the teeth stronger.
Study on bacteriostatic activity of bacillus against penicillium extensus and its application to pear
Authors: Qin Shiya
Published: November 2024

Abstract. Currently, research has shown that Bacillus plays a crucial role in preserving, storing, and transporting fruit and vegetable products, leading to positive economic outcomes. Through the discussion results, it was found that Bacillus polymyxoid HT16 had a remarkable inhibitory effect on Streptospora nigrospora of pear. The observations made using scanning electron microscope and it revealed that the spores of the pathogenic bacteria barely germinated after the treatment of crude protein extraction. Additionally, there was a noticeable ablation phenomenon, with the mycelium appearing twisted and atrophied. Furthermore, the outer epidermis of the mycelium was shed and broken. Similarly, the bacteria used for biocontrol also demonstrated a significant impact on suppressing harmful bacteria in grape plants, contributing to the ongoing research on the mechanisms behind grape biocontrol. Providing a theoretical basis for the application of Bacillus amyloolytica 22T in pear biological control, the antibacterial activity against penicillium extensus was evaluated. This passage provides a review of the inhibitory activity of bacillus against penicillin expansus.