bluuebunny/crossref_metadata_2025 huggingface dataset:
Naloxone Distribution in Texas 2018-2022: A State-Wide Program for Opioid Overdose Prevention
Authors: Irwin Kevin S. , Mathias Charles W. , Wang Zhan , Emmerich Ashley L. , Cleveland Lisa M.
Published: October 2023

Background
Opioid-related overdose mortality has steadily increased throughout the United States. The distribution of the opioid agonist naloxone has been a critical first-line prevention strategy for preventing opioid overdose deaths. The continued geographic and demographic spread of opioid overdose poses significant challenges for targeting naloxone distribution to those most likely to witness and respond to an overdose. To achieve equity and impact, state-level naloxone distribution programs must account for numerous factors that shape the disproportionate burden of overdose mortality, including poor access to health services, rural location, cost, and responsiveness to shifting geographical trends.
Case Presentation:
This paper describes a large state-level, naloxone distribution initiative in Texas that aims to overcome these distribution challenges. Between 2018 and 2022, this centralized naloxone program distributed 576,360 doses of naloxone to individuals, agencies, and organizations. Naloxone went to 87.6% of Texas’ counties that reported overdoses. Fulfilled orders spanned sectors (Individuals, Community Organizations, Law Enforcement, Health Services, EMS/Fire, Schools, and Government Agencies) in mental health services shortage areas (91.3%), rural locations (4.7%), and Hispanic majority (21.6%) communities.
Conclusions
A centralized, statewide naloxone distribution program, like the one in Texas described in this paper, offers numerous benefits, including state-level monitoring of naloxone distribution effectiveness and reach across large geographic, service, and population sectors.
The influence of hydrocarbon generation on the sealing capability of mudstone caprock rich in organic matter
Authors: Yang Wei , Bai Yadong , Sun Xiujian , Wang Jiangong , Long Guohui , Li Hongzhe , Zuo Mingtao , Li Haipeng
Published: October 2023

To obtain information about the sealing capability during the evolution of mudstone rich in organic matter, the pore structure, pore type, porosity, and gas breakthrough pressure of residual samples from mudstone hydrous pyrolysis experiments were analyzed. The results showed that during the thermal evolution process, hydrocarbons and organic acids were generated from OM in mudstone, resulting in the formation of pores within the organic matter. The acidic dissolution effectively dissolved minerals, leading to the creation of numerous dissolution pores. Meanwhile, compaction increased with burial depth in mudstone, causing a reduction in pore size. The change in pore type leaded to a change in pore structure and porosity. Both of the micropores and macropores exhibited similar changes in pore volume. Prior to reaching a Ro value of 1.41%, micropores, mesopores and macropores showed increasing trends; however, after surpassing this threshold, they began to decrease. Mesopores were influenced by both of the generation and compaction: when Ro was below 1.3%, mesopores decreased; whereas when Ro exceeded 1.3%, they significantly increased. Porosity displayed two peak values: the first occured at a Ro value of 0.72% with a porosity level of 4.6%; while the second appeared at a Ro value of 1.41% with a porosity level of 10.3%. The change of breakthrough pressure was the comprehensive reflection of these influencing factors and its trend exhibited a negative correlation with that of porosity (R2=0.886). At two high values of the porosity, two low values of the breakthrough pressure appeared. Smaller values indicated poorer sealing capability for mudstone caprock. When the Ro was below 1.3%, mudstone showed good sealing capability. However, once surpassing the threshold of 1.3%, the fluctuation in breakthrough pressure value displayed considerable variability, necessitating a comprehensive evaluation to assess its sealing capability.
Blood pressure in preterm infants with bronchopulmonary dysplasia in the first three months of life
Authors: Kiss Judit Klara , Gajda Anna , Mari Judit , Bereczki Csaba
Published: October 2023

Background
Neonatal hypertension is common in preterm infants with bronchopulmonary dysplasia (BPD). Our study aims to examine blood pressure variation in the first three months of life in preterm BPD patients.
Methods
We conducted a retrospective, single-centre study at the Neonatal Intensive Care Unit (NICU) of the University of Szeged, Hungary. We collected the blood pressure data of 26 preterm infants (less than 30 weeks' gestation) with moderate or severe BPD over three years (2019–2021). We calculated the BPD group's daily average blood pressure values and used previously defined normal blood pressure values as a reference. We used 19481 systolic (SBP) and diastolic blood pressure (DBP) measurement data separately to calculate daily average blood pressure.
Results
From the daily average blood pressure calculations, we found 11 patients (42%) with hypertensive blood pressure values for three or more days within the first 90 days of life. Within this group, acute kidney injury was present as a comorbidity in 54.5%. Daily blood pressure increases occurred most frequently (44%) between the 9th and 13th weeks of life. We found a statistically significant correlation between the blood pressure values of the BPD patient group and the reference data. The difference between the blood pressure curve of the patients with BPD and the reference data was also statistically significant.
Conclusion
The blood pressure of BPD patients correlates with but also significantly differs from the reference data. Calculating the daily average blood pressure can improve the diagnosis of neonatal hypertension compared to weekly average blood pressure-based investigations.
Future Work Self-Salience and Meaning of Life among College Students: The Mediating Effect of Career Adaptability and the Moderating Effect of Gender
Authors: Zang Tongtong , Zhao Xiaoyun , Liu Weidi
Published: October 2023

Purpose: Faced with difficult employment and fast-paced society, college students mostly face life negative and slack lives. To help college students better construct meaning in life, this study attempts to explore the mediating effect of career adaptability on the relationship between future work self-salience and meaning in life; and the moderating effect of college students' gender on the indirect effect of future work self-salience on meaning in life through career adaptability.
Methods: Questionnaires were administered to 1,337 college students using the Future Work Self-Salience Scale, the Career Adaptability Scale, and the Meaning in Life Scale.
Results: The study's findings showed that college students' meaning in life was significantly and positively influenced by their future work self-salience. Career adaptability partially mediated the relationship between future work self-salience and meaning in life. Additionally, the gender of the college students moderated the relationship between future work self-salience and meaning in life. In particular, compared to male college students, female students' career adaptability was less predicted by future work self-salience.
Conclusion: The study found that college students' future work self-salience can influence meaning in life through career adaptability; meanwhile, the mediating model has gender differences among male and female college students. The findings have important practical implications for the enhancement and intervention of meaning in life and provide additional evidence on the relationship between male and female gender and career adaptability.
A Preliminary Study on Mesothelin Expression Levels in Pancreatic Cancer Using a CT Radiomics Model
Authors: Li Xuanle , Li Qingyu , Yang XiaoHui , He Xiang , Wang ChangFu , Wang Binjie
Published: October 2023

Purpose
To explore the feasibility of CT radiomics model in identifying the expression level of pancreatic mesothelin.
Methods
A retrospective analysis of 37 confirmed pancreatic cancer cases was conducted via surgical pathology. These cases had well-preserved tissue blocks and underwent upper abdominal CT scans within two weeks of surgery. Images, centered on the tumor's maximum diameter with one slice above and below the lesion, were selected for each case. Using 3D Slicer software, Regions of Interest (ROIs) were defined, and Pyradiomics extracted radiomics features. The dataset was categorized into positive and negative groups based on mesothelin immunohistochemical expression levels. Random division into training and testing sets ensued. Initial feature selection reduced radiomics dimensions, followed by secondary selection using (Least Absolute Shrinkage and Selection Operator) LASSO regression, resulting in a radiomics score model. Diagnostic performance was assessed in both sets using Receiver Operating Characteristic (ROC) analysis, precision via Calibration Curve (CC) analysis, and clinical benefit through Decision Curve Analysis (DCA).
Results
A total of 1218 radiomics features were extracted from 111 slices of CT scans in pancreatic cancer patients. The constructed radiomics model, after a series of dimensionality reduction and selection methods, achieved an Area Under the ROC Curve (AUC) of 0.84, sensitivity of 80.00%, and specificity of 75.68% in the training set. In the testing set, the AUC was 0.75, sensitivity was 58.82%, and specificity was 88.24%. The Calibration Curves (CC) in both the training and testing sets indicate a strong fit, while the Decision Curve Analysis (DCA) shows good clinical benefit.
Conclusion
A CT-based radiomics model can be used to evaluate pancreatic mesothelin expression levels, providing a reference for early prediction and differential diagnosis of pancreatic cancer using imaging techniques.
A Face-Authentication Based Searchable Encryption Scheme For Mobile Device
Authors: Yue Xiaohan , Yi Gang , Yang Haibo , Bai Shi , He Yuan
Published: October 2023

In this paper, we introduce Face-Authentication Keyword Encryption Search (FAKES), a novel searchable encryption scheme that eliminates the requirement for clients to manage cryptographic keys by utilizing only the client’s face biometric data for authentication of outsourcing and retrieval of encrypted files. We propose two face biometric-based search-able encryption models that support single-user and multiuser scenarios, respectively. Furthermore, we propose a key recovery approach that relies exclusively on facial bio-metric data, making it easier for users to migrate across devices. Taking into account the limitations of storage and computation on the devices of users, we design a pairing-free elliptic-curve-based encryption algorithm in order to enhance the user’s experience. In order to ensure that cloud servers return the right documents, we provide correctness and security proofs. We also perform a security analysis of FAKES and demonstrate its effectiveness through a series of extensive experiments.
Glycemic Traits and Oesophageal Cancer a Two-Sample and Multivariable Mendelian Randomization Study
Authors: Chen Yuxing , Zeng Qingpeng , Li Muyu , Chen Keqin , Zhao Jun
Published: October 2023

Background: Observational studies indicate a potential link between increased blood glucose levels and the development of oesophageal cancer. However, the causal relationship between glycemic traits and oesophageal cancer has not been clarified yet. The aim of this research was to examine if there is a genetic link between glycemic characteristics and oesophageal cancer through the use of Mendelian randomization analysis.
Methods: We conducted a TSMR analysis and MVMR using publicly available GWAS data on the European population. The primary analysis utilized the IVW method, which was subsequently validated through comprehensive complementary and sensitivity analyses.
Results: IVW analysis revealed a substantial correlation (OR=1.612, P=0.0228) between type 2 diabetes (T2DM) and oesophageal cancer. After accounting for body mass index (BMI), this association remained to be statistically significant in multivariate MR analyses (OR=1.662, P=0.0416). There was only a small amount of evidence indicating a possible link between oesophageal cancer and other glycemic traits after excluding the outliers.
Conclusions: Our study further supports the evidence that European individuals with T2DM are at an increased risk of developing oesophageal cancer. It implies that pharmacological or lifestyle treatments for individuals with T2DM could potentially be advantageous in the prevention of oesophageal tumor development.
Intelligent Extraction of Surface Cracks on LNG Outer Tanks Based on Close-Range Image Point Clouds and Infrared Imagery
Authors: Guo Ming , Zhu Li , Zhao Youshan , Tang Xingyu , Guo Kecai , Shi Yanru , Han Liping
Published: October 2023

The precise detection and ongoing surveillance of surface fractures on exterior LNG storage tanks are crucial in guaranteeing the secure transit and storage of natural gas. Undetected fractures have the potential to result in the release of liquefied natural gas (LNG), hence presenting a significant risk to both public health and the environment. This paper presents a novel approach for crack identification, which involves the integration of thermal infrared pictures and point clouds derived from close-range images captured by unmanned aerial vehicles (UAV). The aim of this approach is to overcome the limitations of conventional manual detection methods, namely in terms of efficiency and safety concerns. The primary approach for acquiring two-dimensional photographs of the tank surface is the utilization of infrared technology to generate an infrared dataset capturing the presence of fractures on the storage tanks' exterior. The utilization of the attention mechanism convolutional neural network is employed during the process of model training. The UAV close-range photos were utilized in close-range photogrammetry to generate an accurate point cloud model. This was achieved by incorporating control point coordinates and matching feature points. The infrared photos that were discovered were subsequently matched with this particular model. The 3D model that was officially was employed as a point of reference on the unfolded 2D plane. To construct the depth image, a least-squares approach of least-column fitting was utilized. In order to validate the accuracy of the automated extraction process, a manual crack extraction was conducted on the original close-range image point cloud of the tank exterior. The results indicated that the extracted cracks exhibited an accuracy level of around 97.6%. The experimental findings demonstrate that the process of crack extraction exhibits a high level of accuracy, hence presenting numerous possible applications in the realms of maintenance management and intelligent monitoring. The utilization of this technology is appropriate for the purpose of monitoring the thermal conditions and structural soundness of LNG storage tanks.
Gate Mesa Terminal With Drain-Field-Plated β-Ga2O3 MOSFET With Power Figure of Merit of 1.914 GW/cm2
Authors: Zhang Yunfei , Luan Suzhen , Cheng Xuepei
Published: October 2023

In this article, we propose a novel device structure for a Gate Mesa Terminal (GMT) with a drain field plate, aimed at improving the breakdown voltage (Vbr) and reducing the on-resistance (Ron) of lateral β-Ga2O3 metal-oxide-semiconductor field-effect transistor (MOSFET). Through the design of the GMT structure, the peak electric field of the β-Ga2O3 MOSFET is directed towards the passivation layer, effectively suppressing the electric field in the channel, resulting in a higher Vbr. The optimal Vbr, specific on-resistance (Ron,sp) and maximum transconductance (gm) of various GMT structures are 4827 V, 9.9 mΩ·cm2 and 15.32 mS/mm, respectively. These values are 2.63 times, 0.88 times and 1.25 times higher than those of the non-GMT structure. Furthermore, with a channel doping concentration is 1×1016 cm−3 , the GMT achieves an enhanced threshold voltage of +0.26 V. The optimal power figure of merit (PFOM) of 1.914 GW/cm2 is obtained by simulating the electrical properties of different bevel Angles, field plate parameters, epitaxial layer doping concentration and mesa thickness. This innovative structure presents a new design concept for the next generation of high voltage and high-power devices rated above 4 KV.
Optimization and Characterization of Nori-Like Product Made from Ulva lactuca and Gracilaria changii using Mixture Design Methode
Authors: Sinurat Ellya , Sihono Sihono , Fateha Fateha , Supriyanto Agus , Suryaningrum Theresia Dwi , Nurhayati Nurhayati , Fransiska Dina , Utomo Bagus S.B. , Sedayu Bakti Berlyanto , Subaryono Subaryono , Waryanto Waryanto
Published: October 2023

Nori is a dried edible seaweed sheet made from Porphyra, a genus of red algae that thrives primarily in subtropical waters. Nori-like products have been developed from tropical seaweed species, but they are still considered undesirable due to their astringent taste and lower protein content compared to the original nori. This investigation aimed to produce a nori-like product by utilizing a combination of locally sourced seaweeds Ulva lactuca and Gracilaria changii with the addition of anchovy flour to enhance its protein content. To obtain the optimal formulation of the product, we employed a design expert software application to analyze sensory data collected from a hedonic scale assessment involving 25 trained panelists. We evaluated sensory characteristics, including appearance, aroma, texture, taste, and overall satisfaction. Additionally, we considered parameters such as crispness and colour to determine the nori-like product quality. The best-selected product, determined through sensory evaluation, underwent further analysis of its proximate and amino acids profile, as well as mineral content. The results were compared to those of commercial nori from Porphyra. The highest-quality product was found to be the nori-like product with a formula consisting of 25.40% Ulva lactuca, 7.98% Gracilaria changii, 1.50% glycerol, and 4.12% anchovy.
C-reactive protein is not a reliable marker for ruling out infection after cesarean section: a retrospective analysis
Authors: Enengl S , Oppelt P , Mayer RB , Brandlmayr E , Trautner PS
Published: October 2023

Purpose Infection after cesarean section is a major contributor to maternal morbidity. Measurement of C-reactive protein (CRP) is a laboratory test frequently conducted to rule out or confirm postoperative infection. The present study aimed to evaluate whether CRP is a suitable tool for ruling out infection after cesarean section and whether there are any reliable cut-off values.Methods 2056 patients with cesarean section (CS) over a 3-year period were included in a retrospective analysis. Outcome parameters and risk factors for postoperative infection were collected. CRP values from preoperative and postoperative tests were compared. Cut-offs for ruling out infection were assessed.Results Among 2056 CSs, postoperative infection occurred in 78 cases (3.8%). The prevalence of infection in emergency CS was lowest, at four out of 134 (2.9%), and the highest prevalence was seen in secondary CS, at 42 of 903 (4.6%; P = 0.35). CRP values in the infection group were significantly higher (preoperative, 1.01 mg/dl vs. 0.62 mg/dl; day 1 postoperative, 7.91 mg/dl vs. 6.44 mg/dl; day 4 postoperative, 8.44 mg/dl vs. 4.09 mg/dl; P = 0.01). A suitable cut-off value for ruling out infection was not identified.Conclusions Although CRP values were significantly higher in the infection group, the clinical relevance of this appears to be negligible. CRP testing does not appear to be a reliable tool for diagnosing or ruling out postoperative infection.
Paternal postpartum depression and associated factors among partners of women who gave birth in the last 12 months in Dessie Town, Northeast Ethiopia, 2023: community based cross sectional study
Authors: Assefa Abdulaziz , Werkie Amare , Assefa Mandefiro , Belay Aynalem
Published: October 2023

Background Paternal depression among fathers of new-borns is a new concept in Ethiopia. It is an emerging public health concern because; it produces insidious effects on the well-being of new-borns as well as on the whole family, which is currently under screened, under diagnosed and undertreated. However, there is limited evidence on the prevalence of paternal postpartum depression and its predictors among partners of women in Ethiopia.Methods A community based cross-sectional study was conducted among 634 partners of postpartum women in Dessie town from January10-Feburary10, 2023 to assess the prevalence of paternal postpartum depression and associated factors among partners of women who gave birth in the last 12 months. The data were collected using a structured and pretested questionnaire though face-to-face interviews and the data were cleaned, edited, and entered into Epi-data version 4.6, and analysed SPSS Version 26.The Edinburgh Postpartum Depression Scale was considered at a cutoff point ≥ 10 to detect depression.Result A total of 610 fathers were interviewed with a response rate of 96.2% and the prevalence of paternal postpartum depression was 19%, (95%CI: 16.0, 22.3). This study showed that; not comfortable with family income [AOR = 2.32(95% CI: 1.16, 4.66)], substance use [AOR = 2.48(95% CI: 1.22, 5.05)], experience of childbirth[AOR = 1.89(95% CI: 1.02, 3.50)], unplanned pregnancy [AOR = 2.81(95%CI: 1.50, 5.25)] and infant sleep problem [AOR = 3.59(95% CI: 1.80, 7.18)], were significantly associated with paternal depression.Conclusion and recommendations: This study revealed that almost one-fifth of fathers had paternal postpartum depression. Not comfortable with family income, substance use, experience of childbirth, unplanned pregnancy and infant sleeping problem were significantly associated with paternal postpartum depression. This suggests the need to provide health education to decrease substance use and counselling to the utilization of family planning to minimize unplanned pregnancy and supports offer to multiparous fathers.
Analisis Multi Computer System Menggunakan Framework COBIT 2019 pada Perusahaan Perkakas
Authors: Widjaja Michelle Disa , Andry Johanes Fernandes
Published: October 2023

The application of information technology is important to help the company's business processes, one of which is a tool company based in Central Jakarta with the main activity of importing and distributing it to shops throughout Indonesia which has implemented IT to assist its business processes. However, based on observations and interviews with the company's directors, the system implemented still has problems that are not suitable for the expectations and needs, such as automatic data updates connected to sales. This research intends to determine the condition and quality of the system used and assess the existing operational implementation using the 2019 COBIT framework with an assessment through capability level, and results of an evaluation used to provide recommendations and suggestions for overcoming existing problems. The process of determining the domain for conducting an audit of the system uses a process of 10 design factors which produces a value of 100 in three domains which means that it has the expected level at level 5 (optimised). The results of the three most important domains for tooling companies based on the process of the design factors that have been carried out are EDM05 (Ensure Stakeholder Engagement), APO14 (Managed Data), and BAI09 (Managed Assets).
Prediksi Penjualan Bisnis Rumah Properti Dengan Menggunakan Metode Autoregressive Integrated Moving Average (ARIMA)
Authors: Pangaribuan Jefri Junifer , Fanny Fanny , Barus Okky Putra , Romindo Romindo
Published: October 2023

Abstract - Sales forecasting plays an important role in determining the company's strategy in the future because it allows control of planning and availability of home production according to consumer needs. Forecasting accuracy provides significant advantages for companies, including production cost savings and avoidance of unnecessary costs. Without accurate forecasting, a company will face difficulties in determining the quantity of house production, which can have a negative impact on the company's financial balance if the houses do not sell. This research implements the Autoregressive Integrated Moving Average (ARIMA) model to forecast property business house sales with a high level of accuracy to support future business decisions. The results of the research on the application of the Autoregressive Integrated Moving Average algorithm show that the ARIMA model (9,1,10) provides good forecasting results measured by the lowest AIC and BIC values compared to the other 4 models, namely ARIMA (10,1,9); ARIMA(8,1,9); ARIMA(10,1,10); and ARIMA (12,1,12) accompanied by an evaluation of measuring the accuracy of the model using RMSE, MSE, and MAPE with each value of 0.281409; 0.079191 and MAPE of 3.4% so that it can be said that sales forecasting provides a good level of accuracy.Abstrak - Prediksi penjualan memegang peran penting dalam menentukan strategi perusahaan di masa depan karena memungkinkan pengendalian perencanaan dan ketersediaan produksi rumah sesuai dengan kebutuhan konsumen. Keakuratan prediksi memberikan keuntungan signifikan bagi perusahaan, termasuk penghematan biaya produksi dan menghindari biaya yang tidak perlu. Kesulitan dalam menentukan jumlah produksi rumah tanpa prediksi yang tepat dapat berdampak negatif pada keseimbangan keuangan perusahaan jika rumah tidak terjual. Penelitian ini mengimplementasikan model Autoregressive Integrated Moving Average untuk melakukan prediksi penjualan bisnis rumah properti dengan tingkat akurasi yang baik untuk dapat mendukung keputusan bisnis kedepannya. Hasil penelitian pada pengaplikasian algoritma Autoregressive Integrated Moving Average menunjukkan bahwa model ARIMA (9,1,10) memberikan hasil nilai prediksi yang baik diukur dari nilai AIC dan BIC yang paling rendah dibandingkan 4 model lainnya yaitu ARIMA (10,1,9); ARIMA (8,1,9); ARIMA (10,1,10); dan ARIMA (12,1,12) disertai evaluasi pengukuran keakuratan model dengan menggunakan RMSE, MSE, dan MAPE dengan masing-masing nilai yaitu 0.281409; 0.079191 dan MAPE sebesar 3.4% sehingga dapat dikatakan prediksi penjualan memberikan tingkat akurasi yang baik.
Interference dynamics of matter-waves of SU($N$) fermions
Authors: Chetcuti Wayne Jordan , Osterloh Andreas , Amico Luigi , Polo Juan
Published: October 2023

Interacting N-component fermions spatially confined in ring-shaped potentials display specific coherence properties. The orbital angular momentum per particle of such systems can be quantized to fractional values specifically depending on the particle-particle interaction. Here we demonstrate how to monitor the state of the system through homodyne (momentum distribution) and self-heterodyne system’s expansion. For homodyne protocols, the momentum distribution is affected by the particle statistics in two distinctive ways. The first effect is a purely statistical one: at zero interactions, the characteristic hole in the momentum distribution around the momentum k=0 opens up once half of the SU(N) Fermi sphere is displaced. The second effect originates from the interaction: The fractionalization in the interacting system manifests itself by an additional “delay” in the flux for the occurrence of the hole, that now becomes a characteristic minimum at k=0. We demonstrate that the angular momentum fractional quantization is reflected in the self-heterodyne interference as specific dislocations in interferograms. Our analysis demonstrates how the study of the interference fringes grants us access to both number of particles and number of components of SU(N) fermions.
Kitap Mülkiyeti Üzerinden Osmanlı Mühürleri ve Exlibris İlişkisi
Authors: Köseler Kan Melike , Zor Aydın
Published: October 2023

Mülkiyet işareti olarak kullanılan iki yakın kavram olan mühürler ve exlibrislerin ayrıntılı irdelemesini içeren çalışmada ilk yerleşik toplumlardan başlayarak farklı çağ ve kültürlerde mülkiyet kavramından söz edilmektedir.
Mühürler, tarihi belge niteliklerinin yanısıra bize ait oldukları kültürler hakkında da bilgi verirler. Yazı ve resim ile desteklenmiş görsel kompozisyonlarının beraberinde getirdiği sunum zenginliğiyle de sanatsal açıdan büyük önem arzederler.Belirli bir kütüphaneye ait olan kitabın ön kapak içine yerleştirilen, sahibini imgesel nitelikte temsil eden, gerek aidiyeti ve gerekse kimlik niteliğini taşıyan görsel iletişim aracına exlibris denir.
Bu arastırmanın amacı Exlibris ve Osmanlı mühürlerinin bir dönem içerisindeki örneklerini incelemek ve ortak yönlerini ortaya koymaktır. Aynı zamanda benzer bu iki sanatın önemini vurgulayarak yaygınlaştırılmasına yönelik çabaları değerlendirmek ve bu sanat dalları ile ilgilenen bireylere teknik ve kuramsal anlamda bir kaynakça oluşturmaktır.
Search for the optimal model of control and supervisory activities: The experience of Russia and China
Authors:   St. Petersburg State University, Trofimov Albert A. , Dmitrikova Ekaterina A. ,   St. Petersburg State University, Karitskaya Anastasia A. ,   St. Petersburg State University
Published: October 2023

One of the aspects of ensuring public interest is to determine the order of organization and implementation of state activities, the purpose of which is to minimize the risk of harm to legally protected values caused by violations of mandatory requirements. The achievement of this goal largely depends on the model of control and supervisory activities that will be implemented by the state. The authors see the optimal model of control and supervisory activities as balanced if based on constitutional principles. The authors consider the experience of Russia and China in creating a modern model of control and supervisory activities and propose to consider approaches to their search that would not only achieve the goal of control (supervision), but also ensure that the balance of interests of the state, society and individual individuals is maintained. Such a search has not been completed in both states. Actually there is a unified approach — in Russia and China the legislator seeks to form a model that would ensure a balance of interests. The authors turn to the constitutional principles of state control and supervision as an activity related to interference with the freedom of a private person. The study revealed a difference in approaches to the issue of reforming control and supervisory activities both in terms of the dynamics of changes and the consistency of approaches. In relation to the Russian experience, the development of legislation in the field of control and supervisory activities allowed to identify the characteristics of changes and the correlation of control and supervisory activities in the system with other types of administrative activities. The Chinese experience reveals the ongoing search by the Chinese leadership for a system of legal regulation in the conditions of uncodified legislation, numerous subordinate regulations and the inconsistency and uncertainty of legal norms.
The modern Chinese state: An academic view through the prism of politics and law
Authors:   St. Petersburg State University, Malysheva Nataliya I. , Kozlikhin Igor Yu. ,   St. Petersburg State University, Stoyko Nikolay G. ,   St. Petersburg State University
Published: October 2023

The article analyzes the main provisions of the monograph “Modern Chinese State. Vol. 1: Basic Institutions of State Power and Administration”, published in 2022 by the Russian Academy of Sciences, in the context of the problematization of scholarly studies of Chinese law. The authors of the article give a brief description of the main issues disclosed in the monograph, such as: administrative divisions of the People’s Republic of China (PRC); population control and registration; the judicial system of the People’s Republic of China; the Public Prosecutor’s Office; control (supervisory) committees; and so on. At the same time, attention is focused on those provisions of the monograph that contribute to the search for solutions to problematic issues relevant to lawyers studying the law of the People’s Republic of China. This is, in particular, about the lawmaking of the state bodies of the PRC with the understanding of the role of the Communist Party of China (CPC) in this activity, on the Legal Status of the President of the People’s Republic of China, on the Nature of CPC Acts, as well as Joint Acts of the Central Party Organs and the State Council of the People’s Republic of China, on the role of judicial acts in the light of the system of sources of Chinese law. A number of areas of legal regulation have been identified, where the experience of the People’s Republic of China can be used in lawmaking and law enforcement in the Russian Federation. It is concluded that the monograph systematizes and increases knowledge about the state-legal reality of the PRC, allows to achieve a better understanding of the law of China.
Research and development of data compression methods for technical monitoring systems
Authors: Yakunin A. G.
Published: October 2023

Objective. The aim of the study is to develop methods for data compression in relation to monitoring systems.

Method. The studies were carried out mainly experimentally, by processing data generated by the information-measuring system of the Altai State Technical University in the process of meteorological observations, temperature control and control of the consumption of such energy resources as hot and cold water, heat supply. However, when it was proposed to change their structure and presentation form to compact the stored data, the degree of compression was found theoretically.

Result. The results of studies conducted with the participation of the author of the publication in the field of data processing, transmission and storage are presented. Methods for streaming data compression “on the fly” as it arrives, both lossy and lossless, as well as methods based on optimizing the structure of databases designed to store information collected during monitoring, are considered. The main attention is paid to the consideration of data compression created in the process of temperature monitoring, since it is the control and monitoring of temperature processes that is most common in various technical process control systems, heat metering systems both on the consumer side (housing and communal services) and on the side of the heat supply organization.

Conclusion. In the vast majority of cases, lossless compression allows you to compress the information received from the monitoring system by more than 10 times, and lossy compression is much stronger, and without losing the pragmatic value of the stored information.
Forecasting the number of identified information security vulnerabilities based on the theory of “Gray Systems”
Authors: Efimov A. O. , Mishin S. A. , Rogozin E. A.
Published: October 2023

Objective. The aim of the work is to assess the possibility of applying the theory of “gray systems” to build a methodology for predicting the number of identified vulnerabilities in conditions of uncertainty of influencing factors and lack of initial data, including a comparative analysis of the results of this prediction obtained using traditional and improved models of the theory of “gray systems”, as well as machine learning models.

Method. The paper describes a technique for constructing a “gray model” for predicting the number of identified vulnerabilities based on the theory of “gray systems”. The initial data for forecasting is information obtained from the CVE (Common Vulnerabilities and Exposures) vulnerability database. In the course of the study, the results of forecasting obtained using the developed “gray model” and the linear regression model implemented on the basis of the scikit-learn library and the Python programming language are analyzed.

Result. The use of a linear regression model and models based on the theory of “gray systems” to predict the number of identified vulnerabilities allows you to get close forecast values. According to data obtained from the CVE vulnerability database, information on 7,015 identified vulnerabilities was published for the 1st quarter of 2023. The forecast obtained on the basis of the traditional model of the theory of “gray systems” turned out to be the closest to the published value. It should be noted that the forecast of the “gray model” is based only on the values of the initial data and does not depend on the circumstances arising in the field of information security, which is a limitation in the use of the proposed methodology.

Conclusion. The results of the study indicate the possibility of applying the theory of “gray systems” for short-term forecasting of the number of detected vulnerabilities. The application of the developed methodology makes it possible to carry out the specified forecasting with a limited number of initial data.
Sacroiliac Joint Dysfunction in Endurance Runners Using Wearable Technology as a Clinical Monitoring Tool: Systematic Review
Authors: Evans Stuart
Published: October 2023

Background

In recent years, researchers have delved into the relationship between the anatomy and biomechanics of sacroiliac joint (SIJ) pain and dysfunction in endurance runners to elucidate the connection between lower back pain and the SIJ. However, the majority of SIJ pain and dysfunction cases are diagnosed and managed through a traditional athlete-clinician arrangement, where the athlete must attend regular in-person clinical appointments with various allied health professionals. Wearable sensors (wearables) are increasingly serving as a clinical diagnostic tool to monitor an athlete’s day-to-day activities remotely, thus eliminating the necessity for in-person appointments. Nevertheless, the extent to which wearables are used in a remote setting to manage SIJ dysfunction in endurance runners remains uncertain.

Objective

This study aims to conduct a systematic review of the literature to enhance our understanding regarding the use of wearables in both in-person and remote settings for biomechanical-based rehabilitation in SIJ dysfunction among endurance runners. In addressing this issue, the overarching goal was to explore how wearables can contribute to the clinical diagnosis (before, during, and after) of SIJ dysfunction.

Methods

Three online databases, including PubMed, Scopus, and Google Scholar, were searched using various combinations of keywords. Initially, a total of 4097 articles were identified. After removing duplicates and screening articles based on inclusion and exclusion criteria, 45 articles were analyzed. Subsequently, 21 articles were included in this study. The quality of the investigation was assessed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) evidence-based minimum set of items for reporting in systematic reviews.

Results

Among the 21 studies included in this review, more than half of the investigations were literature reviews focusing on wearable sensors in the diagnosis and treatment of SIJ pain, wearable movement sensors for rehabilitation, or a combination of both for SIJ gait analysis in an intelligent health care setting. As many as 4 (19%) studies were case reports, and only 1 study could be classified as fully experimental. One paper was classified as being at the “pre” stage of SIJ dysfunction, while 6 (29%) were identified as being at the “at” stage of classification. Significantly fewer studies attempted to capture or classify actual SIJ injuries, and no study directly addressed the injury recovery stage.

Conclusions

SIJ dysfunction remains underdiagnosed and undertreated in endurance runners. Moreover, there is a lack of clear diagnostic or treatment pathways using wearables remotely, despite the availability of validated technology. Further research of higher quality is recommended to investigate SIJ dysfunction in endurance runners and explore the use of wearables for rehabilitation in remote settings.
Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis
Authors: Luo Tingyan , Zhou Jie , Yang Jing , Xie Yulan , Wei Yiru , Mai Huanzhuo , Lu Dongjia , Yang Yuecong , Cui Ping , Ye Li , Liang Hao , Huang Jiegang
Published: October 2023

Background

Internet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, the effectiveness of the Baidu search index (BSI) in predicting the incidence of scarlet fever remains uncertain.

Objective

Our objective was to investigate whether a low-cost BSI monitoring system could potentially function as a valuable complement to traditional scarlet fever surveillance in China.

Methods

ARIMA and ARIMAX models were developed to predict the incidence of scarlet fever in China using data from the National Health Commission of the People’s Republic of China between January 2011 and August 2022. The procedures included establishing a keyword database, keyword selection and filtering through Spearman rank correlation and cross-correlation analyses, construction of the scarlet fever comprehensive search index (CSI), modeling with the training sets, predicting with the testing sets, and comparing the prediction performances.

Results

The average monthly incidence of scarlet fever was 4462.17 (SD 3011.75) cases, and annual incidence exhibited an upward trend until 2019. The keyword database contained 52 keywords, but only 6 highly relevant ones were selected for modeling. A high Spearman rank correlation was observed between the scarlet fever reported cases and the scarlet fever CSI (rs=0.881). We developed the ARIMA(4,0,0)(0,1,2)(12) model, and the ARIMA(4,0,0)(0,1,2)(12) + CSI (Lag=0) and ARIMAX(1,0,2)(2,0,0)(12) models were combined with the BSI. The 3 models had a good fit and passed the residuals Ljung-Box test. The ARIMA(4,0,0)(0,1,2)(12), ARIMA(4,0,0)(0,1,2)(12) + CSI (Lag=0), and ARIMAX(1,0,2)(2,0,0)(12) models demonstrated favorable predictive capabilities, with mean absolute errors of 1692.16 (95% CI 584.88-2799.44), 1067.89 (95% CI 402.02-1733.76), and 639.75 (95% CI 188.12-1091.38), respectively; root mean squared errors of 2036.92 (95% CI 929.64-3144.20), 1224.92 (95% CI 559.04-1890.79), and 830.80 (95% CI 379.17-1282.43), respectively; and mean absolute percentage errors of 4.33% (95% CI 0.54%-8.13%), 3.36% (95% CI –0.24% to 6.96%), and 2.16% (95% CI –0.69% to 5.00%), respectively. The ARIMAX models outperformed the ARIMA models and had better prediction performances with smaller values.

Conclusions

This study demonstrated that the BSI can be used for the early warning and prediction of scarlet fever, serving as a valuable supplement to traditional surveillance systems.
Detection of Crowd concentrations with YOLO V3
Authors: Nguyen Ba Duy , Dinh Thanh Nhan , Nguyen Thanh Bach , Truong Quoc Dinh
Published: October 2023

Crowd detection using street cameras has attracted a lot of research in recent years. In this paper, we propose a simple, fast, and effective method using YOLOv3 model for crowd detection. Using image frames extracted from surveillance video, pedestrian objects are detected, counted and a warning signal is sent out when a crowd occurs. The obtained results on test data extracted from 2 data sets STCrowd, SmartCity, and our self-collected dataset confirm the feasibility of the proposed method.
A practical blockchain-based framework for anti-counterfeiting and traceability
Authors: Dac Hung Ho , Vo Len Van , Nguyen The Bao , Nguyen Cao Hoai Phuong , Tran Van Huu
Published: October 2023

Blockchain has features that help systems overcome the inherent limitations of traditional centralized approaches. Integrating blockchain technologies into systems to improve security, privacy, and transparency is a prominent trend. Currently, consumers are very concerned about the origin and the legitimacy of the products, so it is necessary to strengthen anti-counterfeiting and traceability in product management. Many theoretical approaches have been proposed recently. In this study, we propose a practical framework based on blockchain that supports anti-counterfeiting and traceability. Based on the proposed practical framework, we implemented a pattern as a proof-of-concept of the approach. We conduct experiments at Thu Dau Mot University, a pioneer in the production and transfer of biotechnology. The results show feasibility and good results regarding the proposed practical framework. Moreover, we also published our code base to GitHub with an open license.
An environment monitoring system for a rice production model adaptive to climate change in the Mekong Delta of Viet Nam
Authors: Truong Minh Thai , Nguyen Dai Nghia , Trinh Minh Qui , Nguyen Khoi Nghia , Nguyen Huu Thien , Huynh Quy Khang , Luu Ca , Vo Huynh Tram
Published: October 2023

This article presents an environment monitoring model for agricultural production applied to farmers in the Mekong Delta, Viet Nam. The proposed model's special feature is a system combining techniques such as IoT, agent-based, sensor networks, and data warehouses. Successfully deploying the model in monitoring the water level, and the environmental factors of the rice soil such as NPK, pH, EC, temperature, and soil moisture not only aids managers and farmers monitor environmental quality indicators in real time, but also experts to analyze data, give warnings and appropriate response solutions in agricultural production according to the pivot strategy towards Agriculture 4.0 proposed by the Minister of the Ministry of Agriculture and Rural Development of Viet Nam.
Sản xuất phân hữu cơ từ rác thải sinh hoạt
Authors: Nguyễn Xuân Hoàng , Lê Minh Thuận , Trần Thảo Nguyên , Phan Thị Thanh Ngân , Trương Danh Nghiệp , Nguyễn Hoàng Nhân , Trịnh Thị Long
Published: October 2023

Nghiên cứu được thực hiện nhằm đánh giá chất lượng phân hữu cơ và hiệu quả đối với cây trồng. Vật liệu ủ là chất thải hữu cơ được phân loại và có sử dụng nấm Trichoderma. Thí nghiệm thực hiện trên mẻ ủ thể tích 0,144 m3, ở hai nghiệm thức có bổ sung nấm Trichoderma với liều lượng 20 g/m3 và không dùng chế phẩm. Sau 60 ngày ủ, các chỉ số như nhiệt độ, ẩm độ, pH, sụt giảm thể tích, cac-bon tổng, ni-tơ tổng ở hai nghiệm thức giảm dần theo thời gian; ngược lại, tổng đạm, tổng lân dễ tiêu tăng. Sản phẩm phân sau ủ có pH, độ ẩm, tổng cacbon, tổng nitơ, tổng phốtpho theo thứ tự là 7,93, 34,2%, 15,18%, 1,52%, 2,65%. Mẻ ủ quy mô lớn ngoài thực tế với khối lượng ủ xấp xỉ 9,0 tấn cũng được thực hiện và cho kết quả tương đồng với kết quả ghi nhận ở thí nghiệm. Quy trình sản xuất phân compost được đề xuất thông qua kết quả nghiên cứu này.
Ảnh hưởng của mức độ phân bón và loại phân hữu cơ đến sự thay đổi một số đặc tính dinh dưỡng trong đất, sinh trưởng, năng suất và chất lượng cải kale rong biển và cải kale xoăn (Brassica oleracea var L.)
Authors: Tất Anh Thư , Nguyễn Nhựt Hào , Đặng Quốc Đạt , Quan Thị Ái Liên
Published: October 2023

Mức độ phân bón và loại phân hữu cơ được xác định ảnh hưởng đến sự thay đổi một số đặc tính hóa học đất, sinh trưởng, năng suất và chất lượng của hai giống cải kale (kale rong biển và kale xoăn). Thí nghiệm bố trí hoàn toàn ngẫu nhiên, 2 nhân tố, 6 tổ hợp phân bón, ba lặp lại. Nhân tố A là hai mức độ phân NPK (1) 100% NPK (120N-48P2O5-176K2O) và (2) 50%NPK. Nhân tố B là loại phân hữu cơ (phân trùn quế và phân gà). Kết quả thí nghiệm cho thấy liều lượng phân bón NPK không ảnh hưởng sự thay đổi giá trị pH và chất hữu cơ, nhưng có ảnh hưởng đến N,P hữu dụng trong đất. Hàm lượng N,P hữu dụng ở mức bón 100% NPK cao hơn, khác biệt ý thống kê so với mức bón 50% NPK. Bón phân hữu cơ giúp cải thiện pH, dinh dưỡng N,P hữu dụng và chất hữu cơ trong đất đáng kể so với không bón phân hữu cơ. Sự sinh trưởng phát triển, năng suất cải kale đạt cao nhất khi bón 50-100% NPK kết hợp phân gà hoặc phân trùn quế. Kết quả thí nghiệm cũng cho thấy bón phân hữu cơ giúp giảm tích lũy nitrate không vượt quá giới hạn cho phép của Tổ chức Y tế Thế giới  WHO, tăng độ Brix.